Seattle | |
GP: 82 | W: 28 | L: 46 | OTL: 8 | P: 64 GF: 196 | GA: 268 | PP%: 12.30% | PK%: 79.15% DG: Yvon Bergeron | Morale : 50 | Moyenne d’équipe : 67 |
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jordan Eberle | X | 98.00 | 67 | 42 | 93 | 80 | 67 | 77 | 93 | 78 | 34 | 74 | 78 | 63 | 66 | 80 | 83 | 0 | 50 | 71 | 0 | 31 | 4 | 4,900,000$ | ||||
2 | James van Riemsdyk | X | X | 99.00 | 63 | 53 | 90 | 80 | 81 | 73 | 95 | 81 | 37 | 63 | 80 | 63 | 53 | 81 | 81 | 0 | 50 | 70 | 0 | 32 | 3 | 4,642,857$ | |||
3 | Jakob Silfverberg | X | 100.00 | 61 | 42 | 83 | 84 | 74 | 75 | 76 | 72 | 36 | 75 | 59 | 88 | 90 | 75 | 75 | 0 | 50 | 70 | 0 | 30 | 3 | 4,444,444$ | ||||
4 | Andreas Johnsson | X | X | 100.00 | 73 | 43 | 87 | 82 | 68 | 68 | 86 | 66 | 33 | 75 | 71 | 65 | 79 | 64 | 64 | 0 | 50 | 67 | 0 | 26 | 2 | 2,000,000$ | |||
5 | Kasperi Kapanen | X | X | 100.00 | 79 | 44 | 93 | 90 | 71 | 68 | 85 | 71 | 36 | 72 | 66 | 64 | 25 | 66 | 68 | 0 | 50 | 67 | 0 | 25 | 2 | 3,000,000$ | |||
6 | Rem Pitlick | X | X | 100.00 | 63 | 41 | 88 | 75 | 70 | 69 | 68 | 67 | 46 | 76 | 74 | 73 | 75 | 54 | 54 | 0 | 50 | 66 | 0 | 24 | 2 | 2,000,000$ | |||
7 | Sam Lafferty | X | X | X | 100.00 | 89 | 79 | 83 | 76 | 74 | 66 | 71 | 60 | 57 | 62 | 59 | 84 | 25 | 59 | 59 | 0 | 50 | 65 | 0 | 26 | 1 | 767,500$ | ||
8 | Mason Appleton | X | X | 100.00 | 73 | 43 | 86 | 80 | 72 | 70 | 87 | 67 | 35 | 64 | 62 | 73 | 25 | 63 | 64 | 0 | 50 | 65 | 0 | 25 | 3 | 1,000,000$ | |||
9 | Danton Heinen | X | X | 100.00 | 73 | 43 | 92 | 80 | 69 | 63 | 85 | 67 | 25 | 65 | 75 | 64 | 25 | 67 | 67 | 0 | 50 | 65 | 0 | 26 | 3 | 2,000,000$ | |||
10 | Owen Tippett | X | X | 100.00 | 81 | 45 | 93 | 74 | 75 | 65 | 86 | 71 | 39 | 63 | 70 | 64 | 25 | 57 | 58 | 0 | 50 | 65 | 0 | 22 | 3 | 650,000$ | |||
11 | Daniel Sprong | X | 100.00 | 69 | 43 | 95 | 84 | 73 | 63 | 78 | 66 | 25 | 60 | 72 | 60 | 75 | 65 | 66 | 0 | 50 | 64 | 0 | 24 | 1 | 700,000$ | ||||
12 | Alex Barre-Boulet | X | 100.00 | 67 | 42 | 91 | 73 | 65 | 58 | 75 | 69 | 40 | 65 | 71 | 62 | 25 | 46 | 46 | 0 | 50 | 62 | 0 | 24 | 3 | 759,258$ | ||||
13 | Radko Gudas | X | 100.00 | 99 | 99 | 63 | 75 | 77 | 75 | 91 | 60 | 25 | 52 | 48 | 89 | 25 | 73 | 75 | 0 | 50 | 72 | 0 | 31 | 2 | 2,700,000$ | ||||
14 | Travis Hamonic | X | 100.00 | 82 | 45 | 89 | 81 | 76 | 77 | 67 | 58 | 25 | 51 | 50 | 85 | 25 | 76 | 76 | 0 | 50 | 70 | 0 | 31 | 4 | 3,000,000$ | ||||
15 | Keith Yandle | X | 100.00 | 63 | 42 | 93 | 84 | 71 | 64 | 92 | 74 | 25 | 57 | 47 | 63 | 53 | 87 | 90 | 0 | 50 | 67 | 0 | 35 | 1 | 5,000,000$ | ||||
16 | Haydn Fleury | X | 100.00 | 82 | 59 | 88 | 76 | 78 | 69 | 67 | 58 | 25 | 45 | 48 | 80 | 75 | 62 | 62 | 0 | 50 | 66 | 0 | 25 | 3 | 1,000,000$ | ||||
17 | Jakub Zboril | X | 100.00 | 89 | 46 | 87 | 77 | 73 | 68 | 56 | 64 | 25 | 64 | 47 | 71 | 75 | 56 | 56 | 0 | 50 | 65 | 0 | 24 | 1 | 900,000$ | ||||
18 | Travis Dermott | X | 100.00 | 73 | 44 | 92 | 82 | 77 | 67 | 81 | 59 | 25 | 47 | 48 | 71 | 25 | 64 | 66 | 0 | 50 | 65 | 0 | 24 | 1 | 950,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Jeff Carter | X | X | S1 | 78 | 45 | 85 | 79 | 80 | 77 | 91 | 74 | 98 | 77 | 76 | 79 | 61 | 91 | 98 | 0 | 50 | 74 | 0 | 36 | 2 | 3,466,667$ | |||
2 | Andrew Ladd | X | 100.00 | 78 | 57 | 74 | 67 | 78 | 67 | 56 | 72 | 56 | 60 | 66 | 74 | 68 | 86 | 86 | 0 | 50 | 65 | 0 | 35 | 1 | 600,000$ | ||||
3 | William Carrier | X | 100.00 | 90 | 46 | 84 | 79 | 79 | 61 | 83 | 62 | 44 | 63 | 66 | 66 | 25 | 65 | 68 | 0 | 50 | 65 | 0 | 26 | 2 | 1,100,000$ | ||||
4 | Zdeno Chara | X | S2 | 82 | 91 | 68 | 72 | 97 | 76 | 89 | 58 | 25 | 52 | 48 | 81 | 57 | 99 | 99 | 0 | 50 | 72 | 0 | 44 | 1 | 2,301,001$ | ||||
5 | Brendan Guhle | X | 100.00 | 75 | 73 | 78 | 79 | 73 | 57 | 61 | 47 | 25 | 35 | 41 | 64 | 39 | 59 | 59 | 0 | 50 | 59 | 0 | 24 | 3 | 650,000$ | ||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Oliver Wahlstrom | X | 100.00 | 79 | 59 | 72 | 80 | 77 | 62 | 84 | 69 | 38 | 62 | 71 | 60 | 41 | 58 | 59 | 0 | 50 | 64 | 0 | 21 | 2 | 925,001$ | ||||
2 | Nicholas Merkley | X | 100.00 | 75 | 43 | 99 | 79 | 68 | 62 | 76 | 69 | 56 | 67 | 60 | 76 | 25 | 47 | 47 | 0 | 50 | 64 | 0 | 24 | 1 | 1,100,000$ | ||||
3 | Nicolas Aube-Kubel | X | 100.00 | 84 | 54 | 81 | 76 | 68 | 56 | 88 | 60 | 32 | 63 | 68 | 68 | 25 | 61 | 61 | 0 | 50 | 63 | 0 | 25 | 1 | 1,573,000$ | ||||
4 | Radim Zohorna | X | X | X | 100.00 | 79 | 45 | 91 | 68 | 85 | 56 | 64 | 67 | 37 | 69 | 62 | 68 | 25 | 46 | 46 | 0 | 50 | 62 | 0 | 25 | 3 | 792,500$ | ||
5 | Ty Dellandrea (R) | X | X | 100.00 | 74 | 71 | 82 | 75 | 71 | 74 | 77 | 64 | 80 | 59 | 64 | 65 | 61 | 46 | 46 | 0 | 50 | 62 | 0 | 21 | 3 | 863,333$ | |||
6 | Kyle Rau | X | X | X | 100.00 | 64 | 61 | 72 | 68 | 61 | 63 | 63 | 68 | 80 | 62 | 68 | 62 | 65 | 51 | 52 | 0 | 50 | 61 | 0 | 28 | 1 | 600,000$ | ||
7 | Nolan Foote (R) | X | 100.00 | 75 | 74 | 76 | 76 | 74 | 69 | 72 | 61 | 50 | 57 | 61 | 64 | 58 | 45 | 45 | 0 | 50 | 61 | 0 | 20 | 2 | 894,167$ | ||||
8 | Brett Murray | X | 100.00 | 73 | 78 | 67 | 69 | 87 | 64 | 76 | 61 | 25 | 66 | 60 | 61 | 25 | 45 | 45 | 0 | 50 | 60 | 0 | 23 | 3 | 775,000$ | ||||
9 | Jansen Harkins | X | X | 100.00 | 69 | 52 | 93 | 67 | 68 | 54 | 77 | 58 | 57 | 55 | 59 | 65 | 25 | 61 | 62 | 0 | 50 | 59 | 0 | 24 | 1 | 750,000$ | |||
10 | Fredrik Karlstrom | X | 100.00 | 80 | 73 | 97 | 66 | 73 | 60 | 61 | 57 | 71 | 49 | 61 | 65 | 58 | 44 | 44 | 0 | 50 | 58 | 0 | 23 | 3 | 700,000$ | ||||
11 | Jake Walman | X | 100.00 | 73 | 42 | 93 | 74 | 65 | 64 | 64 | 64 | 25 | 51 | 48 | 74 | 25 | 58 | 59 | 0 | 50 | 63 | 0 | 25 | 1 | 910,000$ | ||||
12 | Kale Clague | X | 100.00 | 63 | 41 | 83 | 76 | 65 | 70 | 67 | 69 | 25 | 56 | 48 | 66 | 25 | 50 | 50 | 0 | 50 | 61 | 0 | 23 | 4 | 1,700,000$ | ||||
13 | Jeremy Davies | X | 100.00 | 69 | 66 | 76 | 68 | 66 | 65 | 68 | 55 | 25 | 51 | 43 | 60 | 41 | 46 | 46 | 0 | 50 | 57 | 0 | 24 | 1 | 925,000$ | ||||
14 | Simon Lundmark (R) | X | 100.00 | 80 | 75 | 91 | 70 | 75 | 51 | 52 | 47 | 25 | 38 | 41 | 63 | 39 | 44 | 44 | 0 | 50 | 56 | 0 | 20 | 4 | 850,833$ | ||||
MOYENNE D’ÉQUIPE | 99.87 | 76 | 52 | 86 | 79 | 75 | 68 | 79 | 66 | 37 | 62 | 62 | 72 | 49 | 69 | 70 | 0 | 50 | 67 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Quick | 100.00 | 80 | 69 | 70 | 79 | 83 | 76 | 74 | 81 | 80 | 79 | 95 | 78 | 78 | 0 | 50 | 76 | 0 | 35 | 2 | 4,200,000$ | |
2 | Ukko-Pekka Luukkonen (R) | 100.00 | 50 | 51 | 64 | 88 | 50 | 51 | 50 | 55 | 51 | 51 | 30 | 45 | 45 | 0 | 50 | 54 | 0 | 22 | 1 | 778,333$ | |
Rayé | |||||||||||||||||||||||
1 | Adin Hill | 100.00 | 71 | 58 | 57 | 86 | 78 | 65 | 72 | 71 | 76 | 71 | 75 | 53 | 53 | 0 | 50 | 68 | 0 | 25 | 3 | 2,000,000$ | |
Équipe Mineure | |||||||||||||||||||||||
1 | Alex Nedeljkovic | 100.00 | 69 | 76 | 73 | 70 | 68 | 70 | 69 | 70 | 67 | 69 | 75 | 55 | 56 | 0 | 50 | 67 | 0 | 25 | 3 | 2,800,000$ | |
2 | Spencer Martin | 100.00 | 59 | 49 | 61 | 73 | 62 | 64 | 60 | 65 | 66 | 65 | 30 | 44 | 44 | 0 | 50 | 60 | 0 | 26 | 2 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 67 | 59 | 64 | 84 | 70 | 64 | 65 | 69 | 69 | 67 | 67 | 59 | 59 | 0 | 50 | 66 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jeff Carter | Seattle | C/RW | 59 | 25 | 27 | 52 | 19 | 46 | 0 | 139 | 180 | 191 | 59 | 118 | 13.09% | 22 | 1300 | 22.04 | 2 | 6 | 8 | 25 | 149 | 1 | 0 | 1 | 4 | 165 | 3 | 1 | 58.96% | 1874 | 0 | 0 | 0 | 0 | 0.80 | 1 | 4 | 0 | 0 | 0 | 4 | 2 | 5 |
2 | Jordan Eberle | Seattle | RW | 70 | 20 | 22 | 42 | 2 | 27 | 5 | 55 | 88 | 206 | 49 | 160 | 9.71% | 10 | 1404 | 20.06 | 4 | 2 | 6 | 29 | 190 | 0 | 1 | 1 | 2 | 124 | 0 | 2 | 27.07% | 181 | 0 | 0 | 1 | 1 | 0.60 | 1 | 4 | 0 | 0 | 0 | 2 | 1 | 4 |
3 | Radko Gudas | Seattle | D | 76 | 9 | 26 | 35 | -17 | 150 | 20 | 297 | 85 | 112 | 22 | 55 | 8.04% | 115 | 1691 | 22.26 | 3 | 4 | 7 | 45 | 187 | 0 | 0 | 0 | 1 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 3 | 1 | 0 | 1 | 2 | 3 |
4 | Jakob Silfverberg | Seattle | RW | 55 | 10 | 22 | 32 | -15 | 14 | 0 | 33 | 99 | 140 | 36 | 97 | 7.14% | 11 | 991 | 18.02 | 1 | 5 | 6 | 19 | 143 | 0 | 0 | 0 | 5 | 82 | 3 | 0 | 41.98% | 81 | 0 | 0 | 0 | 0 | 0.65 | 1 | 2 | 0 | 0 | 0 | 1 | 4 | 0 |
5 | James van Riemsdyk | Seattle | LW/RW | 81 | 18 | 13 | 31 | -13 | 11 | 5 | 47 | 91 | 195 | 50 | 113 | 9.23% | 16 | 1564 | 19.32 | 3 | 3 | 6 | 34 | 202 | 0 | 0 | 0 | 3 | 109 | 4 | 1 | 36.24% | 218 | 0 | 0 | 0 | 1 | 0.40 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 1 |
6 | Rem Pitlick | Seattle | C/LW | 82 | 13 | 14 | 27 | -24 | 8 | 0 | 41 | 93 | 149 | 33 | 103 | 8.72% | 6 | 1053 | 12.85 | 0 | 3 | 3 | 20 | 104 | 0 | 0 | 0 | 2 | 28 | 5 | 0 | 35.84% | 1172 | 0 | 0 | 0 | 0 | 0.51 | 1 | 2 | 0 | 0 | 0 | 3 | 1 | 1 |
7 | Zdeno Chara | Seattle | D | 69 | 6 | 19 | 25 | 4 | 36 | 0 | 127 | 47 | 57 | 23 | 43 | 10.53% | 116 | 1559 | 22.60 | 2 | 3 | 5 | 24 | 170 | 0 | 1 | 1 | 0 | 177 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 |
8 | Andreas Johnsson | Seattle | LW/RW | 82 | 9 | 14 | 23 | -17 | 22 | 0 | 91 | 72 | 145 | 43 | 88 | 6.21% | 7 | 1243 | 15.16 | 1 | 2 | 3 | 11 | 100 | 0 | 0 | 0 | 2 | 60 | 3 | 0 | 19.83% | 116 | 0 | 0 | 0 | 0 | 0.37 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 |
9 | Travis Hamonic | Seattle | D | 77 | 4 | 19 | 23 | -16 | 38 | 0 | 110 | 57 | 81 | 40 | 57 | 4.94% | 117 | 1421 | 18.46 | 1 | 4 | 5 | 37 | 119 | 0 | 0 | 0 | 0 | 131 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
10 | Kasperi Kapanen | Seattle | LW/RW | 76 | 9 | 13 | 22 | -17 | 18 | 0 | 58 | 80 | 155 | 37 | 96 | 5.81% | 5 | 982 | 12.93 | 2 | 4 | 6 | 24 | 147 | 0 | 0 | 0 | 0 | 7 | 1 | 1 | 32.56% | 86 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 2 |
11 | Sam Lafferty | Seattle | C/LW/RW | 78 | 6 | 12 | 18 | -11 | 26 | 0 | 120 | 96 | 84 | 36 | 67 | 7.14% | 15 | 824 | 10.57 | 2 | 1 | 3 | 8 | 35 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 42.52% | 635 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Keith Yandle | Seattle | D | 68 | 4 | 14 | 18 | -3 | 14 | 0 | 40 | 41 | 42 | 14 | 34 | 9.52% | 51 | 1153 | 16.96 | 1 | 2 | 3 | 17 | 118 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13 | Danton Heinen | Seattle | LW/RW | 81 | 9 | 9 | 18 | -5 | 8 | 0 | 30 | 49 | 93 | 31 | 59 | 9.68% | 6 | 816 | 10.08 | 0 | 1 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 36.51% | 63 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
14 | Haydn Fleury | Seattle | D | 52 | 1 | 13 | 14 | -8 | 39 | 15 | 76 | 27 | 29 | 15 | 29 | 3.45% | 69 | 886 | 17.04 | 0 | 2 | 2 | 6 | 66 | 0 | 0 | 0 | 1 | 57 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 |
15 | Jakub Zboril | Seattle | D | 61 | 0 | 14 | 14 | -7 | 38 | 0 | 94 | 33 | 17 | 4 | 17 | 0.00% | 60 | 894 | 14.66 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 0 | 2 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
16 | Andrew Ladd | Seattle | LW | 54 | 6 | 3 | 9 | -14 | 14 | 0 | 60 | 39 | 59 | 22 | 49 | 10.17% | 1 | 516 | 9.57 | 1 | 0 | 1 | 2 | 14 | 0 | 0 | 0 | 1 | 44 | 0 | 0 | 40.70% | 199 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
17 | Alex Barre-Boulet | Seattle | C | 31 | 2 | 2 | 4 | -10 | 4 | 0 | 8 | 18 | 21 | 8 | 15 | 9.52% | 3 | 265 | 8.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 27.95% | 297 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Mason Appleton | Seattle | LW/RW | 16 | 1 | 3 | 4 | 1 | 4 | 0 | 9 | 21 | 29 | 9 | 26 | 3.45% | 0 | 210 | 13.14 | 0 | 2 | 2 | 2 | 13 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 25.93% | 27 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Nicolas Aube-Kubel | Seattle (SEA) | RW | 3 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 50.00% | 0 | 24 | 8.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 1.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | William Carrier | Seattle | LW | 17 | 1 | 1 | 2 | -2 | 10 | 0 | 15 | 5 | 12 | 9 | 7 | 8.33% | 1 | 117 | 6.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Travis Dermott | Seattle | D | 10 | 0 | 2 | 2 | -7 | 6 | 0 | 7 | 4 | 5 | 1 | 3 | 0.00% | 10 | 124 | 12.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22 | Oliver Wahlstrom | Seattle (SEA) | RW | 4 | 1 | 0 | 1 | -1 | 0 | 0 | 4 | 2 | 3 | 1 | 2 | 33.33% | 0 | 29 | 7.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
23 | Brendan Guhle | Seattle | D | 15 | 1 | 0 | 1 | 1 | 2 | 0 | 22 | 6 | 5 | 2 | 1 | 20.00% | 13 | 240 | 16.03 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24 | Ty Dellandrea | Seattle (SEA) | C/RW | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 3 | 0.00% | 0 | 17 | 5.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 26 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25 | Daniel Sprong | Seattle | RW | 18 | 0 | 0 | 0 | -5 | 2 | 0 | 5 | 8 | 21 | 8 | 13 | 0.00% | 1 | 175 | 9.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
26 | Nicholas Merkley | Seattle (SEA) | RW | 17 | 0 | 0 | 0 | -6 | 2 | 0 | 6 | 17 | 27 | 6 | 17 | 0.00% | 3 | 187 | 11.01 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 2 | 25 | 0 | 0 | 64.52% | 31 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
27 | Owen Tippett | Seattle | LW/RW | 10 | 0 | 0 | 0 | -5 | 0 | 0 | 11 | 6 | 3 | 3 | 11 | 0.00% | 2 | 104 | 10.48 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 31.58% | 19 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 1265 | 157 | 263 | 420 | -174 | 539 | 45 | 1505 | 1267 | 1887 | 564 | 1284 | 8.32% | 660 | 19800 | 15.65 | 23 | 44 | 67 | 308 | 1815 | 1 | 2 | 3 | 27 | 1398 | 23 | 6 | 44.45% | 5064 | 0 | 0 | 1 | 2 | 0.42 | 4 | 17 | 4 | 3 | 1 | 18 | 15 | 27 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Quick | Seattle | 51 | 18 | 27 | 5 | 0.912 | 3.09 | 2855 | 0 | 3 | 147 | 1664 | 0 | 1 | 1 | 0.750 | 12 | 47 | 25 | 7 | 7 | 2 |
2 | Adin Hill | Seattle | 29 | 7 | 11 | 2 | 0.910 | 3.20 | 1333 | 2 | 0 | 71 | 789 | 0 | 0 | 1 | 0.750 | 4 | 21 | 48 | 3 | 1 | 1 |
3 | Spencer Martin | Seattle (SEA) | 4 | 2 | 2 | 0 | 0.919 | 2.76 | 239 | 0 | 1 | 11 | 135 | 0 | 0 | 0 | 0.00% | 0 | 4 | 1 | 1 | 0 | 0 |
4 | Ukko-Pekka Luukkonen | Seattle | 11 | 1 | 5 | 1 | 0.897 | 3.67 | 474 | 0 | 0 | 29 | 282 | 0 | 0 | 0 | 0.333 | 3 | 9 | 3 | 0 | 0 | 1 |
5 | Alex Nedeljkovic | Seattle (SEA) | 1 | 0 | 1 | 0 | 0.852 | 4.00 | 60 | 0 | 0 | 4 | 27 | 0 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 96 | 28 | 46 | 8 | 0.910 | 3.17 | 4962 | 2 | 4 | 262 | 2897 | 0 | 1 | 2 | 19 | 82 | 82 | 11 | 8 | 4 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adin Hill | Seattle | G | 25 | 1996-05-11 | No | 202 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | No | 2,000,000$ | 2,000,000$ | Lien | ||||||||
Alex Barre-Boulet | Seattle | C | 24 | 1997-05-20 | No | 180 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 759,258$ | 759,258$ | 0$ | No | 759,258$ | 759,258$ | Lien | ||||||||
Andreas Johnsson (contrat à 1 volet) | Seattle | LW/RW | 26 | 1994-11-20 | No | 194 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | No | 2,000,000$ | Lien | |||||||||
Andrew Ladd (contrat à 1 volet) | Seattle | LW | 35 | 1985-12-11 | No | 205 Lbs | 6 ft3 | Yes | No | Yes | 1 | Pro Only | 600,000$ | 600,000$ | 0$ | No | Lien | ||||||||||
Brendan Guhle | Seattle | D | 24 | 1997-07-29 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 0$ | No | 650,000$ | 650,000$ | Lien | ||||||||
Daniel Sprong | Seattle | RW | 24 | 1997-03-17 | No | 200 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | No | Lien | ||||||||||
Danton Heinen (contrat à 1 volet) | Seattle | LW/RW | 26 | 1995-07-05 | No | 188 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | No | 2,000,000$ | 2,000,000$ | Lien | ||||||||
Haydn Fleury | Seattle | D | 25 | 1996-07-08 | No | 208 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | No | 1,000,000$ | 1,000,000$ | Lien | ||||||||
Jakob Silfverberg (contrat à 1 volet) | Seattle | RW | 30 | 1990-10-13 | No | 208 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 4,444,444$ | 4,444,444$ | 0$ | No | 4,444,444$ | 4,444,444$ | Lien | ||||||||
Jakub Zboril | Seattle | D | 24 | 1997-02-21 | No | 200 Lbs | 6 ft0 | No | No | Yes | 1 | Pro Only | 900,000$ | 900,000$ | 0$ | No | Lien | ||||||||||
James van Riemsdyk (contrat à 1 volet) | Seattle | LW/RW | 32 | 1989-05-04 | No | 217 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 5,000,000$ | 4,642,857$ | 0$ | No | 5,000,000$ | 5,000,000$ | Lien | ||||||||
Jeff Carter (contrat à 1 volet) | Seattle | C/RW | 36 | 1985-01-01 | No | 219 Lbs | 6 ft3 | Yes | No | No | 2 | Pro & Farm | 3,466,667$ | 3,466,667$ | 0$ | No | 3,466,667$ | Lien | |||||||||
Jonathan Quick (contrat à 1 volet) | Seattle | G | 35 | 1986-01-20 | No | 216 Lbs | 6 ft1 | Yes | No | No | 2 | Pro & Farm | 4,200,000$ | 4,200,000$ | 0$ | No | 4,200,000$ | Lien | |||||||||
Jordan Eberle (contrat à 1 volet) | Seattle | RW | 31 | 1990-05-15 | No | 187 Lbs | 5 ft11 | No | No | Yes | 4 | Pro & Farm | 4,900,000$ | 4,900,000$ | 0$ | No | 4,900,000$ | 4,900,000$ | 4,900,000$ | Lien | |||||||
Kasperi Kapanen | Seattle | LW/RW | 25 | 1996-07-23 | No | 194 Lbs | 6 ft1 | No | No | Yes | 2 | Pro & Farm | 3,000,000$ | 3,000,000$ | 0$ | No | 3,000,000$ | Lien | |||||||||
Keith Yandle (contrat à 1 volet) | Seattle | D | 35 | 1986-09-09 | No | 192 Lbs | 6 ft1 | No | No | Yes | 1 | Pro & Farm | 4,000,000$ | 5,000,000$ | 0$ | No | Lien | ||||||||||
Mason Appleton | Seattle | LW/RW | 25 | 1996-01-15 | No | 193 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | No | 1,000,000$ | 1,000,000$ | Lien | ||||||||
Owen Tippett | Seattle | LW/RW | 22 | 1999-02-16 | No | 207 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 0$ | No | 650,000$ | 650,000$ | Lien | ||||||||
Radko Gudas (contrat à 1 volet) | Seattle | D | 31 | 1990-06-05 | No | 208 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 2,700,000$ | 2,700,000$ | 0$ | No | 2,700,000$ | Lien | |||||||||
Rem Pitlick | Seattle | C/LW | 24 | 1997-04-02 | No | 196 Lbs | 5 ft11 | Yes | No | No | 2 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | No | 2,000,000$ | Lien | |||||||||
Sam Lafferty (contrat à 1 volet) | Seattle | C/LW/RW | 26 | 1995-03-06 | No | 195 Lbs | 6 ft1 | No | No | Yes | 1 | Pro Only | 767,500$ | 767,500$ | 0$ | No | Lien | ||||||||||
Travis Dermott | Seattle | D | 24 | 1996-12-21 | No | 215 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | No | Lien | ||||||||||
Travis Hamonic (contrat à 1 volet) | Seattle | D | 31 | 1990-08-16 | No | 205 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 3,000,000$ | 3,000,000$ | 0$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | Lien | |||||||
Ukko-Pekka Luukkonen | Seattle | G | 22 | 1999-03-08 | Yes | 220 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 778,333$ | 778,333$ | 0$ | No | Lien | ||||||||||
William Carrier (contrat à 1 volet) | Seattle | LW | 26 | 1994-12-20 | No | 218 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | No | 1,100,000$ | Lien | |||||||||
Zdeno Chara (contrat à 1 volet) | Seattle | D | 44 | 1977-03-18 | No | 250 Lbs | 6 ft9 | Yes | No | No | 1 | Pro & Farm | 2,301,001$ | 2,301,001$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
26 | 28.15 | 204 Lbs | 6 ft2 | 2.19 | 2,110,277$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
54,867,203$ | 43,870,369$ | 25,403,702$ | 7,900,000$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | James van Riemsdyk | Alex Barre-Boulet | Jordan Eberle | 43 | 1 | 1 | 3 |
2 | Andreas Johnsson | Sam Lafferty | Daniel Sprong | 27 | 1 | 1 | 3 |
3 | Danton Heinen | Rem Pitlick | Jakob Silfverberg | 20 | 1 | 3 | 1 |
4 | Mason Appleton | Owen Tippett | Kasperi Kapanen | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Radko Gudas | Travis Hamonic | 40 | 1 | 2 | 2 | |
2 | Keith Yandle | Haydn Fleury | 30 | 1 | 2 | 2 | |
3 | Jakub Zboril | Travis Dermott | 20 | 1 | 2 | 2 | |
4 | Radko Gudas | Travis Hamonic | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | James van Riemsdyk | Rem Pitlick | Jordan Eberle | 60 | 0 | 1 | 4 |
2 | Andreas Johnsson | Sam Lafferty | Jakob Silfverberg | 40 | 0 | 1 | 4 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Radko Gudas | Travis Hamonic | 60 | 1 | 2 | 2 | |
2 | Keith Yandle | Haydn Fleury | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jordan Eberle | James van Riemsdyk | 60 | 1 | 3 | 1 |
2 | Jakob Silfverberg | Andreas Johnsson | 40 | 1 | 3 | 1 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Radko Gudas | Travis Hamonic | 60 | 1 | 3 | 1 |
2 | Keith Yandle | Haydn Fleury | 40 | 1 | 3 | 1 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jordan Eberle | 60 | 0 | 4 | 1 | Radko Gudas | Travis Hamonic | 60 | 0 | 5 | 0 |
2 | James van Riemsdyk | 40 | 0 | 4 | 1 | Keith Yandle | Haydn Fleury | 40 | 0 | 5 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jordan Eberle | James van Riemsdyk | 60 | 1 | 2 | 2 |
2 | Jakob Silfverberg | Andreas Johnsson | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Radko Gudas | Travis Hamonic | 60 | 1 | 2 | 2 |
2 | Keith Yandle | Haydn Fleury | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
James van Riemsdyk | Rem Pitlick | Jordan Eberle | Radko Gudas | Travis Hamonic |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
James van Riemsdyk | Rem Pitlick | Jordan Eberle | Radko Gudas | Travis Hamonic |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Daniel Sprong, Kasperi Kapanen, Owen Tippett | Daniel Sprong, Kasperi Kapanen | Owen Tippett |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jakub Zboril, Travis Dermott, Keith Yandle | Jakub Zboril | Travis Dermott, Keith Yandle |
Tirs de pénalité |
---|
Jordan Eberle, James van Riemsdyk, Jakob Silfverberg, Andreas Johnsson, Kasperi Kapanen |
Gardien |
---|
#1 : Jonathan Quick, #2 : Ukko-Pekka Luukkonen |
Lignes d’attaque personnalisées en prolongation |
---|
Jordan Eberle, James van Riemsdyk, Jakob Silfverberg, Andreas Johnsson, Kasperi Kapanen, Rem Pitlick, Rem Pitlick, Owen Tippett, Mason Appleton, Danton Heinen, Sam Lafferty |
Lignes de défense personnalisées en prolongation |
---|
Radko Gudas, Travis Hamonic, Keith Yandle, Haydn Fleury, Jakub Zboril |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Anaheim | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 13 | 16 | -3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 4 | 0.500 | 13 | 24 | 37 | 0 | 0 | 2 | 7 | 4 | 0 | 137 | 49 | 46 | 40 | 5 | 133 | 50 | 39 | 104 | 17 | 4 | 23.53% | 12 | 5 | 58.33% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 89 | 59 | 104 | 32 | 52 | 24 |
2 | Boston | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 59 | 25 | 17 | 17 | 0 | 65 | 19 | 14 | 37 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 45 | 29 | 47 | 16 | 27 | 13 |
3 | Buffalo | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 1 | 1 | 62 | 22 | 14 | 24 | 2 | 64 | 21 | 15 | 40 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 49 | 34 | 46 | 14 | 27 | 13 |
4 | Calgary | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 0 | 5 | 3 | 0 | 78 | 12 | 36 | 30 | 0 | 133 | 55 | 33 | 66 | 4 | 1 | 25.00% | 14 | 2 | 85.71% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 58 | 38 | 83 | 23 | 38 | 17 |
5 | Caroline | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 54 | 17 | 23 | 14 | 0 | 76 | 27 | 24 | 52 | 6 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 41 | 26 | 50 | 15 | 27 | 12 |
6 | Chicago | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | -5 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 81 | 34 | 28 | 18 | 1 | 86 | 26 | 23 | 70 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 68 | 46 | 77 | 22 | 38 | 18 |
7 | Colorado | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 1 | 0 | 97 | 32 | 32 | 33 | 0 | 129 | 38 | 20 | 81 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 67 | 44 | 73 | 21 | 39 | 19 |
8 | Columbus | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 45 | 13 | 15 | 17 | 0 | 70 | 14 | 14 | 60 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 47 | 32 | 47 | 14 | 25 | 11 |
9 | Dallas | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 6 | 1 | 2 | 0 | 81 | 38 | 30 | 13 | 0 | 111 | 37 | 27 | 77 | 11 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 65 | 42 | 75 | 23 | 39 | 19 |
10 | Detroit | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 1 | 61 | 20 | 16 | 25 | 4 | 82 | 17 | 12 | 52 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 39 | 25 | 57 | 16 | 27 | 12 |
11 | Edmonton | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.500 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 105 | 32 | 31 | 42 | 0 | 143 | 41 | 40 | 89 | 13 | 1 | 7.69% | 18 | 6 | 66.67% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 86 | 56 | 101 | 31 | 52 | 24 |
12 | Hartford | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 74 | 22 | 28 | 23 | 1 | 64 | 22 | 18 | 46 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 47 | 32 | 46 | 14 | 27 | 14 |
13 | Islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 52 | 12 | 21 | 19 | 0 | 85 | 21 | 18 | 42 | 6 | 2 | 33.33% | 9 | 4 | 55.56% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 42 | 28 | 51 | 15 | 26 | 12 |
14 | Kansas City | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 82 | 29 | 27 | 26 | 0 | 108 | 33 | 16 | 68 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 61 | 39 | 80 | 23 | 38 | 17 |
15 | LA Kings | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 4 | 0.500 | 10 | 16 | 26 | 0 | 0 | 0 | 4 | 5 | 1 | 119 | 38 | 41 | 38 | 2 | 123 | 36 | 34 | 85 | 12 | 2 | 16.67% | 16 | 4 | 75.00% | 1 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 92 | 63 | 99 | 30 | 51 | 25 |
16 | Las Vegas | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 13 | 15 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 4 | 6 | 2 | 1 | 97 | 24 | 43 | 27 | 8 | 193 | 51 | 30 | 94 | 13 | 2 | 15.38% | 15 | 4 | 73.33% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 85 | 56 | 108 | 31 | 51 | 25 |
17 | Minnesota | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 10 | 7 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 5 | 0 | 5 | 0.833 | 10 | 19 | 29 | 0 | 0 | 3 | 4 | 2 | 1 | 90 | 23 | 36 | 26 | 8 | 93 | 14 | 16 | 45 | 6 | 1 | 16.67% | 8 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 68 | 46 | 77 | 24 | 39 | 18 |
18 | Montreal | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 68 | 34 | 19 | 15 | 0 | 74 | 22 | 18 | 39 | 8 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 49 | 34 | 44 | 14 | 25 | 12 |
19 | Nashville | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 0.667 | 13 | 23 | 36 | 0 | 1 | 5 | 2 | 6 | 0 | 101 | 43 | 33 | 25 | 0 | 106 | 33 | 26 | 50 | 11 | 0 | 0.00% | 13 | 1 | 92.31% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 76 | 54 | 67 | 20 | 35 | 18 |
20 | Ottawa | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 61 | 19 | 17 | 25 | 0 | 68 | 23 | 14 | 53 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 44 | 32 | 50 | 13 | 24 | 11 |
21 | Philadelphie | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 4 | 6 | 10 | 0 | 2 | 1 | 2 | 1 | 0 | 60 | 22 | 21 | 17 | 0 | 56 | 20 | 10 | 49 | 10 | 2 | 20.00% | 4 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 45 | 30 | 49 | 15 | 24 | 12 |
22 | Pittsburgh | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 16 | 13 | 17 | 0 | 52 | 17 | 20 | 49 | 5 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 42 | 28 | 51 | 15 | 25 | 12 |
23 | Quebec | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 5 | 1 | 2 | 0 | 58 | 23 | 17 | 18 | 0 | 65 | 14 | 15 | 43 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 48 | 35 | 45 | 14 | 25 | 13 |
24 | Rangers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 5 | 1 | 2 | 0 | 67 | 27 | 19 | 21 | 0 | 61 | 16 | 6 | 39 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 51 | 38 | 42 | 12 | 25 | 13 |
25 | San Jose | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 67 | 20 | 24 | 23 | 0 | 92 | 25 | 28 | 61 | 11 | 0 | 0.00% | 14 | 3 | 78.57% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 63 | 41 | 78 | 22 | 37 | 18 |
26 | St-Louis | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 12 | -3 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.333 | 9 | 14 | 23 | 1 | 0 | 1 | 4 | 3 | 2 | 84 | 20 | 33 | 29 | 4 | 65 | 20 | 17 | 72 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 75 | 52 | 67 | 23 | 41 | 20 |
27 | Tampa Bay | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 2 | 2 | 0 | 51 | 18 | 22 | 11 | 0 | 63 | 16 | 13 | 43 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 44 | 29 | 47 | 15 | 27 | 13 |
28 | Toronto | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 1 | 59 | 22 | 19 | 16 | 5 | 69 | 20 | 10 | 39 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 47 | 32 | 49 | 15 | 28 | 13 |
29 | Vancouver | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 19 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 11 | -7 | 1 | 0.125 | 8 | 13 | 21 | 1 | 0 | 2 | 5 | 1 | 0 | 119 | 34 | 46 | 37 | 2 | 170 | 47 | 36 | 87 | 11 | 1 | 9.09% | 17 | 4 | 76.47% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 89 | 59 | 104 | 30 | 50 | 23 |
30 | Washington | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 54 | 18 | 18 | 18 | 0 | 89 | 25 | 16 | 48 | 3 | 1 | 33.33% | 8 | 3 | 62.50% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 39 | 26 | 55 | 14 | 25 | 10 |
31 | Winnipeg | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 83 | 25 | 27 | 31 | 0 | 111 | 42 | 22 | 62 | 11 | 2 | 18.18% | 10 | 2 | 80.00% | 0 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 70 | 47 | 73 | 21 | 36 | 17 |
Total | 82 | 23 | 46 | 0 | 3 | 4 | 2 | 4 | 196 | 268 | -72 | 41 | 14 | 22 | 0 | 1 | 1 | 2 | 1 | 106 | 136 | -30 | 41 | 9 | 24 | 0 | 2 | 3 | 0 | 3 | 90 | 132 | -42 | 64 | 0.390 | 196 | 345 | 541 | 2 | 4 | 69 | 64 | 58 | 8 | 2352 | 783 | 812 | 735 | 42 | 2899 | 862 | 644 | 1842 | 244 | 30 | 12.30% | 283 | 59 | 79.15% | 1 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 1845 | 1245 | 2057 | 622 | 1064 | 513 | |
_Since Last GM Reset | 82 | 23 | 46 | 0 | 3 | 4 | 2 | 4 | 196 | 268 | -72 | 41 | 14 | 22 | 0 | 1 | 1 | 2 | 1 | 106 | 136 | -30 | 41 | 9 | 24 | 0 | 2 | 3 | 0 | 3 | 90 | 132 | -42 | 64 | 0.390 | 196 | 345 | 541 | 2 | 4 | 69 | 64 | 58 | 8 | 2352 | 783 | 812 | 735 | 42 | 2899 | 862 | 644 | 1842 | 244 | 30 | 12.30% | 283 | 59 | 79.15% | 1 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 1845 | 1245 | 2057 | 622 | 1064 | 513 | |
_Vs Conference | 50 | 13 | 28 | 0 | 2 | 3 | 2 | 2 | 125 | 166 | -41 | 25 | 8 | 13 | 0 | 1 | 0 | 2 | 1 | 67 | 81 | -14 | 25 | 5 | 15 | 0 | 1 | 3 | 0 | 1 | 58 | 85 | -27 | 39 | 0.390 | 125 | 216 | 341 | 2 | 1 | 36 | 47 | 38 | 5 | 1421 | 453 | 513 | 438 | 30 | 1796 | 548 | 407 | 1111 | 146 | 17 | 11.64% | 180 | 38 | 78.89% | 1 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 1117 | 749 | 1271 | 382 | 644 | 309 | |
_Vs Division | 26 | 6 | 15 | 0 | 1 | 2 | 1 | 1 | 63 | 89 | -26 | 13 | 3 | 7 | 0 | 1 | 0 | 1 | 1 | 32 | 42 | -10 | 13 | 3 | 8 | 0 | 0 | 2 | 0 | 0 | 31 | 47 | -16 | 19 | 0.365 | 63 | 107 | 170 | 1 | 0 | 11 | 30 | 20 | 2 | 722 | 209 | 267 | 237 | 17 | 987 | 305 | 240 | 586 | 81 | 11 | 13.58% | 106 | 28 | 73.58% | 1 | 1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% | 564 | 375 | 679 | 202 | 334 | 158 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
82 | 64 | L3 | 196 | 345 | 541 | 2352 | 2899 | 862 | 644 | 1842 | 2 | 4 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 23 | 46 | 3 | 4 | 2 | 4 | 196 | 268 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 14 | 22 | 1 | 1 | 2 | 1 | 106 | 136 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 9 | 24 | 2 | 3 | 0 | 3 | 90 | 132 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 5 | 0 | 1 | 0 | 1 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
244 | 30 | 12.30% | 283 | 59 | 79.15% | 1 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
783 | 812 | 735 | 42 | 69 | 64 | 58 | 8 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
1188 | 2662 | 44.63% | 1361 | 3085 | 44.12% | 566 | 1294 | 43.74% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
1845 | 1245 | 2057 | 622 | 1064 | 513 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6000 | 5000 | 2500 | 4000 | 1000 |
Prix des billets | 100 | 60 | 35 | 25 | 200 |
Assistance | 244,942 | 204,628 | 102,500 | 164,000 | 41,000 |
Attendance PCT | 99.57% | 99.82% | 100.00% | 100.00% | 100.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 18465 - 99.81% | 1,284,375$ | 52,659,380$ | 18500 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
60,796,413$ | 56,217,203$ | 56,860,060$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
292,158$ | 57,038,480$ | 0$ | 26 | 2 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 295,880$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 46,726,410$ | 46,726,410$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
57,038,480$ | 8,961,520$ | 66,000,000$ | 8,238,480$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Lien |
---|---|---|---|---|---|
Adam Sykora | Seattle | 2022 | 35 | ||
Arshdeep Bains | Seattle | 2022 | 188 | ||
Bryce Mcconnell-Barker | Seattle | 2022 | 87 | ||
Danil Zhilkin | Seattle | 2022 | 67 | ||
Emil Heineman | Seattle | 2020 | 54 | ||
Evan Nause | Seattle | 2021 | 58 | ||
George Fegaras | Seattle | 2022 | 99 | ||
Gleb Trikozov | Seattle | 2022 | 40 | ||
Ilya Usau | Seattle | 2022 | 139 | ||
Isaiah George | Seattle | 2022 | 94 | ||
Jack Devine | Seattle | 2022 | 163 | ||
Jake Richard | Seattle | 2022 | 134 | ||
Kevin Korchinski | Seattle | 2022 | 13 | ||
Kyle Kukkonen | Seattle | 2021 | 96 | ||
Michael Buchinger | Seattle | 2022 | 131 | ||
Owen Pickering | Seattle | 2022 | 32 | ||
Samuel Savoie | Seattle | 2022 | 73 | ||
Void | Seattle | 2022 | 195 |
Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2023 | SEA | Tam Isl Buf Cal Win Van | Car Har | SEA Col | Dal Nas | SEA | SEA |
2024 | SEA | SEA Tor | SEA Buf | SEA Tor | SEA | SEA | SEA |
2025 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
2026 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
2027 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|