Sags | |
GP: 72 | W: 32 | L: 34 | OTL: 6 | P: 70 GF: 148 | GA: 147 | PP%: 14.69% | PK%: 82.38% DG: Nick Gagnon | Morale : 50 | Moyenne d’équipe : 59 Prochains matchs #1177 vs Chiefs |
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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 | Ben Meyers (R) | X | X | 100.00 | 65 | 40 | 77 | 71 | 75 | 74 | 66 | 66 | 72 | 60 | 63 | 64 | 67 | 56 | 50 | 0 | 50 | 64 | 0 | 23 | 3 | 912,500$ | |||
2 | Tyler Benson | X | X | 100.00 | 62 | 43 | 70 | 67 | 68 | 68 | 66 | 62 | 41 | 61 | 55 | 57 | 61 | 55 | 50 | 0 | 50 | 60 | 0 | 24 | 2 | 620,000$ | |||
3 | Jiri Kulich (R) | X | X | 100.00 | 59 | 40 | 70 | 68 | 61 | 57 | 57 | 64 | 42 | 62 | 62 | 55 | 65 | 50 | 50 | 0 | 50 | 60 | 0 | 18 | 3 | 950,000$ | |||
4 | Alex Turcotte (R) | X | 100.00 | 62 | 45 | 67 | 70 | 63 | 60 | 58 | 59 | 45 | 56 | 53 | 62 | 60 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 1 | 925,000$ | ||||
5 | Jordy Bellerive | X | 100.00 | 60 | 54 | 60 | 67 | 63 | 65 | 64 | 62 | 56 | 59 | 54 | 59 | 61 | 52 | 51 | 0 | 50 | 59 | 0 | 23 | 2 | 733,333$ | ||||
6 | Aatu Raty (R) | X | 100.00 | 63 | 40 | 69 | 66 | 63 | 57 | 57 | 62 | 52 | 61 | 56 | 60 | 61 | 50 | 50 | 0 | 50 | 59 | 0 | 19 | 3 | 836,667$ | ||||
7 | Ty Tullio (R) | X | 100.00 | 57 | 40 | 70 | 69 | 57 | 60 | 61 | 62 | 41 | 59 | 58 | 57 | 62 | 50 | 50 | 0 | 50 | 59 | 0 | 20 | 3 | 833,333$ | ||||
8 | Michal Teply (R) | X | 100.00 | 57 | 45 | 73 | 64 | 65 | 63 | 62 | 62 | 42 | 60 | 55 | 52 | 60 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 1 | 825,833$ | ||||
9 | Zayde Wisdom (R) | X | 100.00 | 62 | 40 | 69 | 65 | 63 | 60 | 60 | 58 | 51 | 55 | 54 | 59 | 59 | 50 | 50 | 0 | 50 | 58 | 0 | 20 | 3 | 797,500$ | ||||
10 | Reilly Walsh | X | 100.00 | 59 | 45 | 69 | 72 | 62 | 66 | 66 | 66 | 40 | 65 | 58 | 69 | 65 | 52 | 50 | 0 | 50 | 64 | 0 | 23 | 1 | 700,000$ | ||||
11 | Henry Thrun (R) | X | 100.00 | 57 | 40 | 71 | 71 | 77 | 80 | 60 | 65 | 40 | 62 | 60 | 63 | 66 | 51 | 50 | 0 | 50 | 64 | 0 | 21 | 3 | 650,000$ | ||||
12 | Michael Kesselring (R) | X | 100.00 | 66 | 57 | 64 | 69 | 67 | 63 | 63 | 66 | 40 | 58 | 60 | 68 | 65 | 51 | 50 | 0 | 50 | 63 | 0 | 22 | 1 | 1,100,000$ | ||||
13 | Wyatt Kalynuk | X | 100.00 | 60 | 60 | 57 | 71 | 62 | 66 | 65 | 62 | 40 | 61 | 55 | 68 | 63 | 54 | 50 | 0 | 50 | 62 | 0 | 25 | 2 | 925,000$ | ||||
14 | Jack Thompson (R) | X | 100.00 | 60 | 40 | 71 | 69 | 62 | 62 | 62 | 64 | 40 | 60 | 59 | 66 | 64 | 50 | 50 | 0 | 50 | 62 | 0 | 20 | 3 | 828,333$ | ||||
15 | Anttoni Honka (R) | X | 100.00 | 56 | 40 | 70 | 69 | 60 | 62 | 63 | 64 | 40 | 63 | 57 | 65 | 63 | 50 | 50 | 0 | 50 | 61 | 0 | 21 | 3 | 700,000$ | ||||
16 | Helge Grans (R) | X | 100.00 | 64 | 46 | 72 | 65 | 68 | 60 | 60 | 61 | 40 | 55 | 54 | 62 | 60 | 50 | 50 | 0 | 50 | 60 | 0 | 20 | 3 | 847,500$ | ||||
17 | Corson Ceulemans (R) | X | 100.00 | 62 | 40 | 68 | 64 | 65 | 54 | 53 | 56 | 40 | 54 | 54 | 61 | 58 | 50 | 50 | 0 | 50 | 58 | 0 | 19 | 3 | 925,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Carter Savoie (R) | X | 100.00 | 56 | 40 | 69 | 63 | 62 | 60 | 60 | 59 | 40 | 54 | 56 | 53 | 59 | 50 | 50 | 0 | 50 | 57 | 0 | 20 | 3 | 925,000$ | ||||
2 | Rory Kerins (R) | X | 100.00 | 62 | 40 | 68 | 65 | 62 | 58 | 57 | 56 | 47 | 54 | 54 | 58 | 58 | 50 | 50 | 0 | 50 | 57 | 0 | 20 | 3 | 846,667$ | ||||
3 | Philippe Daoust (R) | X | 100.00 | 54 | 43 | 66 | 70 | 53 | 57 | 54 | 54 | 50 | 51 | 51 | 52 | 58 | 50 | 50 | 0 | 50 | 55 | 0 | 20 | 5 | 600,000$ | ||||
4 | Demetrios Koumontzis (R) | X | 100.00 | 44 | 44 | 78 | 63 | 64 | 41 | 53 | 34 | 48 | 29 | 30 | 41 | 35 | 50 | 50 | 0 | 50 | 44 | 0 | 22 | 2 | 650,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 59 | 44 | 69 | 68 | 64 | 62 | 60 | 60 | 45 | 57 | 55 | 60 | 60 | 51 | 50 | 0 | 50 | 59 |
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 | Malcolm Subban | 100.00 | 74 | 71 | 73 | 75 | 72 | 70 | 72 | 68 | 71 | 73 | 71 | 66 | 59 | 0 | 50 | 66 | 0 | 28 | 2 | 1,500,000$ | |
2 | Dryden McKay (R) | 100.00 | 63 | 57 | 57 | 62 | 60 | 59 | 59 | 56 | 60 | 60 | 53 | 52 | 50 | 0 | 50 | 55 | 0 | 24 | 3 | 560,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 69 | 64 | 65 | 69 | 66 | 65 | 66 | 62 | 66 | 67 | 62 | 59 | 55 | 0 | 50 | 61 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 | Henry Thrun | Sags (San) | D | 70 | 10 | 28 | 38 | 7 | 18 | 0 | 78 | 90 | 87 | 29 | 55 | 11.49% | 62 | 1591 | 22.73 | 4 | 9 | 13 | 58 | 197 | 1 | 0 | 1 | 1 | 158 | 2 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.48 | 0 | 1 | 0 | 0 | 0 | 0 | 7 | 0 |
2 | Tyler Benson | Sags (San) | LW/RW | 70 | 14 | 21 | 35 | 5 | 26 | 0 | 115 | 64 | 123 | 14 | 65 | 11.38% | 7 | 1408 | 20.13 | 4 | 5 | 9 | 30 | 163 | 0 | 0 | 0 | 4 | 104 | 1 | 1 | 46.23% | 106 | 0 | 0 | 0 | 0 | 0.50 | 4 | 8 | 0 | 0 | 0 | 6 | 0 | 3 |
3 | Jiri Kulich | Sags (San) | C/LW | 70 | 14 | 21 | 35 | 7 | 28 | 0 | 103 | 81 | 117 | 38 | 97 | 11.97% | 16 | 1515 | 21.66 | 0 | 5 | 5 | 17 | 170 | 0 | 1 | 1 | 2 | 135 | 2 | 2 | 40.19% | 418 | 0 | 0 | 0 | 0 | 0.46 | 5 | 8 | 0 | 0 | 0 | 2 | 5 | 5 |
4 | Reilly Walsh | Sags (San) | D | 39 | 8 | 21 | 29 | -1 | 18 | 0 | 51 | 63 | 47 | 12 | 31 | 17.02% | 32 | 822 | 21.09 | 6 | 5 | 11 | 30 | 100 | 0 | 0 | 0 | 1 | 76 | 2 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 5 |
5 | Wyatt Kalynuk | Sags (San) | D | 70 | 7 | 22 | 29 | -5 | 44 | 0 | 103 | 88 | 66 | 18 | 35 | 10.61% | 52 | 1334 | 19.07 | 7 | 4 | 11 | 51 | 162 | 0 | 0 | 0 | 0 | 122 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.43 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 2 |
6 | Ty Tullio | Sags (San) | RW | 70 | 10 | 17 | 27 | 5 | 14 | 0 | 59 | 65 | 103 | 39 | 69 | 9.71% | 4 | 1263 | 18.06 | 1 | 7 | 8 | 19 | 163 | 0 | 0 | 0 | 0 | 18 | 2 | 2 | 42.70% | 89 | 0 | 0 | 0 | 0 | 0.43 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 2 |
7 | Jack Thompson | Sags (San) | D | 70 | 3 | 22 | 25 | -5 | 24 | 0 | 51 | 74 | 65 | 22 | 51 | 4.62% | 50 | 1334 | 19.06 | 1 | 7 | 8 | 36 | 163 | 0 | 1 | 1 | 0 | 128 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 2 |
8 | Alex Turcotte | Sags (San) | C | 72 | 17 | 6 | 23 | 2 | 30 | 0 | 101 | 119 | 98 | 17 | 73 | 17.35% | 12 | 1273 | 17.68 | 1 | 0 | 1 | 6 | 72 | 0 | 0 | 0 | 2 | 46 | 6 | 2 | 50.25% | 991 | 0 | 0 | 0 | 0 | 0.36 | 0 | 4 | 0 | 0 | 0 | 4 | 4 | 0 |
9 | Jordy Bellerive | Sags (San) | C | 72 | 10 | 13 | 23 | -7 | 24 | 0 | 105 | 120 | 101 | 28 | 70 | 9.90% | 11 | 1252 | 17.39 | 1 | 4 | 5 | 7 | 68 | 0 | 0 | 0 | 0 | 29 | 2 | 1 | 55.60% | 678 | 0 | 0 | 0 | 0 | 0.37 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 1 |
10 | Anttoni Honka | Sags (San) | D | 72 | 3 | 15 | 18 | 5 | 28 | 0 | 50 | 55 | 33 | 6 | 26 | 9.09% | 41 | 1059 | 14.72 | 0 | 1 | 1 | 5 | 32 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.34 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 |
11 | Ben Meyers | Sags (San) | C/LW | 27 | 12 | 5 | 17 | 4 | 2 | 0 | 34 | 76 | 69 | 24 | 47 | 17.39% | 9 | 593 | 21.99 | 2 | 0 | 2 | 11 | 74 | 1 | 1 | 2 | 2 | 68 | 4 | 1 | 61.44% | 625 | 0 | 0 | 1 | 0 | 0.57 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 1 |
12 | Aatu Raty | Sags (San) | C | 27 | 7 | 7 | 14 | -1 | 16 | 0 | 37 | 55 | 46 | 7 | 40 | 15.22% | 4 | 517 | 19.17 | 1 | 2 | 3 | 9 | 59 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 52.69% | 465 | 0 | 0 | 0 | 0 | 0.54 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
13 | Michael Kesselring | Sags (San) | D | 27 | 1 | 12 | 13 | 5 | 26 | 0 | 54 | 27 | 34 | 15 | 25 | 2.94% | 29 | 576 | 21.36 | 0 | 4 | 4 | 23 | 69 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.45 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 2 |
14 | Helge Grans | Sags (San) | D | 70 | 4 | 9 | 13 | 5 | 47 | 5 | 91 | 38 | 30 | 7 | 16 | 13.33% | 37 | 1013 | 14.48 | 1 | 0 | 1 | 3 | 9 | 0 | 0 | 0 | 0 | 60 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.26 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 1 |
15 | Zayde Wisdom | Sags (San) | C | 68 | 5 | 7 | 12 | -4 | 14 | 0 | 46 | 51 | 53 | 15 | 42 | 9.43% | 5 | 842 | 12.39 | 1 | 3 | 4 | 3 | 58 | 0 | 0 | 0 | 0 | 15 | 2 | 0 | 49.18% | 183 | 0 | 0 | 0 | 0 | 0.28 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 2 |
16 | Matthew Phillips | San Jose | C | 15 | 5 | 6 | 11 | 5 | 2 | 0 | 9 | 46 | 45 | 9 | 27 | 11.11% | 4 | 332 | 22.20 | 0 | 1 | 1 | 4 | 40 | 0 | 0 | 0 | 0 | 33 | 2 | 1 | 45.02% | 331 | 0 | 0 | 0 | 0 | 0.66 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 |
17 | Michal Teply | Sags (San) | LW | 51 | 2 | 8 | 10 | -7 | 14 | 0 | 43 | 47 | 63 | 19 | 38 | 3.17% | 3 | 929 | 18.23 | 0 | 1 | 1 | 5 | 64 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 31.82% | 66 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Givani Smith | San Jose | LW/RW | 15 | 3 | 6 | 9 | 3 | 34 | 10 | 52 | 25 | 48 | 11 | 41 | 6.25% | 3 | 309 | 20.61 | 0 | 0 | 0 | 3 | 40 | 1 | 0 | 1 | 2 | 47 | 2 | 0 | 46.15% | 26 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 0 |
19 | Carter Savoie | Sags (San) | LW | 39 | 5 | 4 | 9 | -1 | 6 | 0 | 26 | 29 | 33 | 6 | 22 | 15.15% | 1 | 686 | 17.61 | 0 | 0 | 0 | 4 | 16 | 0 | 0 | 0 | 0 | 40 | 1 | 0 | 51.35% | 37 | 0 | 0 | 0 | 0 | 0.26 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
20 | Corson Ceulemans | Sags (San) | D | 49 | 0 | 6 | 6 | 3 | 18 | 0 | 38 | 26 | 13 | 5 | 13 | 0% | 19 | 529 | 10.81 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
21 | Alex Chiasson | San Jose | RW | 6 | 2 | 3 | 5 | 3 | 0 | 0 | 7 | 7 | 11 | 2 | 12 | 18.18% | 0 | 110 | 18.35 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.91 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 1069 | 142 | 259 | 401 | 28 | 433 | 15 | 1253 | 1246 | 1285 | 343 | 895 | 11.05% | 401 | 19299 | 18.05 | 30 | 58 | 88 | 326 | 1738 | 3 | 3 | 6 | 14 | 1232 | 30 | 11 | 51.11% | 4038 | 0 | 0 | 1 | 0 | 0.42 | 16 | 38 | 1 | 0 | 1 | 34 | 29 | 34 |
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 | Malcolm Subban | Sags (San) | 70 | 31 | 32 | 6 | 0.896 | 1.91 | 4139 | 2 | 9 | 132 | 1264 | 0 | 3 | 2 | 0.641 | 39 | 70 | 0 | 3 | 6 | 4 |
2 | Dryden McKay | Sags (San) | 4 | 1 | 0 | 0 | 0.962 | 0.57 | 106 | 0 | 0 | 1 | 26 | 0 | 0 | 0 | 1.000 | 2 | 0 | 70 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 74 | 32 | 32 | 6 | 0.897 | 1.88 | 4245 | 2 | 9 | 133 | 1290 | 0 | 3 | 2 | 41 | 70 | 70 | 3 | 6 | 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 | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Waiver Possible | 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 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | Sags (San) | C | 19 | 2002-11-14 | Yes | 185 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 836,667$ | 91,510$ | 0$ | 0$ | No | 836,667$ | 836,667$ | ||||||||
Alex Turcotte | Sags (San) | C | 21 | 2001-02-26 | Yes | 185 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 101,172$ | 0$ | 0$ | No | Lien | |||||||||
Anttoni Honka | Sags (San) | D | 21 | 2000-10-05 | Yes | 179 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 700,000$ | 76,562$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||
Ben Meyers | Sags (San) | C/LW | 23 | 1998-11-15 | Yes | 194 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 912,500$ | 99,805$ | 0$ | 0$ | No | 912,500$ | 912,500$ | ||||||||
Carter Savoie | Sags (San) | LW | 20 | 2002-01-23 | Yes | 192 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 101,172$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Corson Ceulemans | Sags (San) | D | 19 | 2003-05-05 | Yes | 198 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 101,172$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Demetrios Koumontzis | Sags (San) | LW | 22 | 2000-03-24 | Yes | 183 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 650,000$ | 71,094$ | 0$ | 0$ | No | 650,000$ | Lien | ||||||||
Dryden McKay | Sags (San) | G | 24 | 1997-11-25 | Yes | 183 Lbs | 6 ft0 | No | No | Yes | Yes | 3 | Pro & Farm | 560,000$ | 61,250$ | 0$ | 0$ | No | 560,000$ | 560,000$ | ||||||||
Helge Grans | Sags (San) | D | 20 | 2002-05-10 | Yes | 205 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 847,500$ | 92,695$ | 0$ | 0$ | No | 847,500$ | 847,500$ | Lien | |||||||
Henry Thrun | Sags (San) | D | 21 | 2001-03-12 | Yes | 190 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 650,000$ | 71,094$ | 0$ | 0$ | No | 650,000$ | 650,000$ | Lien | |||||||
Jack Thompson | Sags (San) | D | 20 | 2002-03-19 | Yes | 179 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 828,333$ | 90,599$ | 0$ | 0$ | No | 828,333$ | 828,333$ | ||||||||
Jiri Kulich | Sags (San) | C/LW | 18 | 2004-04-14 | Yes | 179 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 950,000$ | 103,906$ | 0$ | 0$ | No | 950,000$ | 950,000$ | ||||||||
Jordy Bellerive | Sags (San) | C | 23 | 1999-05-02 | No | 194 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 733,333$ | 80,208$ | 0$ | 0$ | No | 733,333$ | Lien | ||||||||
Malcolm Subban (contrat à 1 volet) | Sags (San) | G | 28 | 1993-12-21 | No | 216 Lbs | 6 ft2 | No | No | Yes | Yes | 2 | Pro & Farm | 1,500,000$ | 164,062$ | 600,000$ | 65,625$ | No | 1,500,000$ | Lien | ||||||||
Michael Kesselring | Sags (San) | D | 22 | 2000-01-13 | Yes | 190 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 1,100,000$ | 120,312$ | 0$ | 0$ | No | Lien | |||||||||
Michal Teply | Sags (San) | LW | 21 | 2001-05-27 | Yes | 187 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 825,833$ | 90,325$ | 0$ | 0$ | No | Lien | |||||||||
Philippe Daoust | Sags (San) | LW | 20 | 2001-11-05 | Yes | 150 Lbs | 6 ft0 | No | No | No | No | 5 | Pro & Farm | 600,000$ | 65,625$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | 600,000$ | Lien | |||||
Reilly Walsh | Sags (San) | D | 23 | 1999-04-21 | No | 185 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 76,562$ | 0$ | 0$ | No | Lien | |||||||||
Rory Kerins | Sags (San) | C | 20 | 2002-04-12 | Yes | 185 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 846,667$ | 92,604$ | 0$ | 0$ | No | 846,667$ | 846,667$ | ||||||||
Ty Tullio | Sags (San) | RW | 20 | 2002-04-05 | Yes | 165 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 833,333$ | 91,146$ | 0$ | 0$ | No | 833,333$ | 833,333$ | ||||||||
Tyler Benson | Sags (San) | LW/RW | 24 | 1998-03-15 | No | 190 Lbs | 6 ft0 | No | No | Yes | Yes | 2 | Pro & Farm | 620,000$ | 67,812$ | 0$ | 0$ | No | 620,000$ | Lien | ||||||||
Wyatt Kalynuk | Sags (San) | D | 25 | 1997-04-14 | No | 181 Lbs | 6 ft1 | No | No | Yes | Yes | 2 | Pro & Farm | 925,000$ | 101,172$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Zayde Wisdom | Sags (San) | C | 20 | 2002-05-20 | Yes | 194 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 797,500$ | 87,227$ | 0$ | 0$ | No | 797,500$ | 797,500$ |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 21.48 | 186 Lbs | 6 ft0 | 2.52 | 834,420$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jiri Kulich | Aatu Raty | 40 | 1 | 2 | 2 | |
2 | Tyler Benson | Ben Meyers | Ty Tullio | 30 | 1 | 2 | 2 |
3 | Alex Turcotte | Jordy Bellerive | 20 | 1 | 2 | 2 | |
4 | Ben Meyers | Zayde Wisdom | Jiri Kulich | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Henry Thrun | Michael Kesselring | 40 | 1 | 2 | 2 | |
2 | Jack Thompson | Wyatt Kalynuk | 30 | 1 | 2 | 2 | |
3 | Anttoni Honka | Helge Grans | 20 | 1 | 2 | 2 | |
4 | Michael Kesselring | Henry Thrun | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jiri Kulich | Ben Meyers | 60 | 1 | 2 | 2 | |
2 | Tyler Benson | Aatu Raty | Ty Tullio | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 | |
2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Ben Meyers | Jiri Kulich | 60 | 1 | 2 | 2 |
2 | Tyler Benson | Aatu Raty | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Ben Meyers | 60 | 1 | 2 | 2 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Jiri Kulich | 40 | 1 | 2 | 2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Ben Meyers | Jiri Kulich | 60 | 1 | 2 | 2 |
2 | Tyler Benson | Aatu Raty | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jiri Kulich | Ben Meyers | Henry Thrun | Michael Kesselring |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jiri Kulich | Ben Meyers | Henry Thrun | Michael Kesselring |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Zayde Wisdom, Jordy Bellerive, | Zayde Wisdom, Jordy Bellerive |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Anttoni Honka, Helge Grans, Michael Kesselring | Anttoni Honka | Helge Grans, Michael Kesselring |
Tirs de pénalité |
---|
, Jiri Kulich, Tyler Benson, Aatu Raty, Jordy Bellerive |
Gardien |
---|
#1 : Malcolm Subban, #2 : Dryden McKay |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Admirals | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 4 | 0.500 | 10 | 18 | 28 | 0 | 1 | 43 | 51 | 48 | 18 | 73 | 434 | 427 | 415 | 52 | 87 | 22 | 33 | 63 | 14 | 2 | 14.29% | 15 | 3 | 80.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
2 | Baby Hawks | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 43 | 51 | 48 | 18 | 45 | 434 | 427 | 415 | 52 | 53 | 27 | 12 | 60 | 11 | 1 | 9.09% | 6 | 2 | 66.67% | 1 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
3 | Bears | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 43 | 51 | 48 | 18 | 38 | 434 | 427 | 415 | 52 | 22 | 8 | 4 | 37 | 9 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
4 | Bruins | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 43 | 51 | 48 | 18 | 31 | 434 | 427 | 415 | 52 | 42 | 11 | 14 | 34 | 7 | 2 | 28.57% | 6 | 3 | 50.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
5 | Cabaret Lady Mary Ann | 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 | 12 | 19 | 0 | 0 | 43 | 51 | 48 | 18 | 48 | 434 | 427 | 415 | 52 | 25 | 11 | 6 | 29 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
6 | Caroline | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 3 | 5 | 8 | 1 | 1 | 43 | 51 | 48 | 18 | 27 | 434 | 427 | 415 | 52 | 32 | 5 | 10 | 44 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
7 | Chiefs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 43 | 51 | 48 | 18 | 8 | 434 | 427 | 415 | 52 | 9 | 0 | 6 | 16 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
8 | Chill | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 4 | 0.667 | 6 | 11 | 17 | 0 | 1 | 43 | 51 | 48 | 18 | 50 | 434 | 427 | 415 | 52 | 39 | 23 | 14 | 59 | 10 | 3 | 30.00% | 6 | 1 | 83.33% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
9 | Comets | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 2 | 0.250 | 7 | 13 | 20 | 1 | 0 | 43 | 51 | 48 | 18 | 78 | 434 | 427 | 415 | 52 | 65 | 18 | 22 | 61 | 14 | 2 | 14.29% | 9 | 1 | 88.89% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
10 | Cougars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 43 | 51 | 48 | 18 | 29 | 434 | 427 | 415 | 52 | 55 | 10 | 16 | 36 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
11 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 43 | 51 | 48 | 18 | 48 | 434 | 427 | 415 | 52 | 45 | 14 | 10 | 41 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
12 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 43 | 51 | 48 | 18 | 15 | 434 | 427 | 415 | 52 | 12 | 6 | 2 | 18 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
13 | Jayhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 43 | 51 | 48 | 18 | 53 | 434 | 427 | 415 | 52 | 43 | 14 | 8 | 35 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
14 | Las Vegas | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 0.500 | 8 | 11 | 19 | 0 | 1 | 43 | 51 | 48 | 18 | 67 | 434 | 427 | 415 | 52 | 71 | 23 | 24 | 74 | 5 | 1 | 20.00% | 9 | 1 | 88.89% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
15 | Manchots | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 43 | 51 | 48 | 18 | 38 | 434 | 427 | 415 | 52 | 32 | 10 | 14 | 26 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
16 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 43 | 51 | 48 | 18 | 29 | 434 | 427 | 415 | 52 | 39 | 8 | 12 | 36 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
17 | Minnesota | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 3 | 3 | 3 | 0.750 | 6 | 10 | 16 | 0 | 1 | 43 | 51 | 48 | 18 | 47 | 434 | 427 | 415 | 52 | 55 | 12 | 8 | 37 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
18 | Monarchs | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 43 | 51 | 48 | 18 | 55 | 434 | 427 | 415 | 52 | 52 | 13 | 18 | 58 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
19 | Monsters | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 43 | 51 | 48 | 18 | 35 | 434 | 427 | 415 | 52 | 30 | 13 | 14 | 37 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
20 | Monsters | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.333 | 4 | 8 | 12 | 0 | 0 | 43 | 51 | 48 | 18 | 46 | 434 | 427 | 415 | 52 | 65 | 26 | 8 | 44 | 11 | 4 | 36.36% | 4 | 2 | 50.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
21 | Oceanics | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 10 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 0.333 | 8 | 12 | 20 | 0 | 0 | 43 | 51 | 48 | 18 | 51 | 434 | 427 | 415 | 52 | 66 | 15 | 18 | 49 | 12 | 3 | 25.00% | 7 | 2 | 71.43% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
22 | Oil Kings | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 43 | 51 | 48 | 18 | 43 | 434 | 427 | 415 | 52 | 42 | 18 | 6 | 47 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
23 | Phantoms | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 43 | 51 | 48 | 18 | 31 | 434 | 427 | 415 | 52 | 40 | 11 | 20 | 43 | 7 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
24 | Rocket | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 43 | 51 | 48 | 18 | 36 | 434 | 427 | 415 | 52 | 46 | 10 | 28 | 32 | 4 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
25 | Seattle | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 43 | 51 | 48 | 18 | 32 | 434 | 427 | 415 | 52 | 44 | 18 | 12 | 40 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
26 | Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 43 | 51 | 48 | 18 | 49 | 434 | 427 | 415 | 52 | 32 | 9 | 16 | 32 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
27 | Sound Tigers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 43 | 51 | 48 | 18 | 38 | 434 | 427 | 415 | 52 | 20 | 7 | 8 | 34 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
28 | Spiders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 43 | 51 | 48 | 18 | 24 | 434 | 427 | 415 | 52 | 41 | 17 | 10 | 36 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
29 | Stars | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 43 | 51 | 48 | 18 | 51 | 434 | 427 | 415 | 52 | 61 | 26 | 26 | 48 | 14 | 2 | 14.29% | 13 | 4 | 69.23% | 1 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
30 | Thunder | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 43 | 51 | 48 | 18 | 41 | 434 | 427 | 415 | 52 | 39 | 18 | 12 | 38 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
31 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 43 | 51 | 48 | 18 | 30 | 434 | 427 | 415 | 52 | 35 | 12 | 14 | 36 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
Total | 72 | 26 | 34 | 0 | 2 | 2 | 4 | 4 | 148 | 147 | 1 | 35 | 15 | 18 | 0 | 1 | 0 | 1 | 0 | 72 | 64 | 8 | 37 | 11 | 16 | 0 | 1 | 2 | 3 | 4 | 76 | 83 | -7 | 70 | 0.486 | 148 | 264 | 412 | 2 | 8 | 43 | 51 | 48 | 18 | 1286 | 434 | 427 | 415 | 52 | 1339 | 435 | 425 | 1280 | 211 | 31 | 14.69% | 193 | 34 | 82.38% | 2 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 | |
_Since Last GM Reset | 72 | 26 | 34 | 0 | 2 | 2 | 4 | 4 | 148 | 147 | 1 | 35 | 15 | 18 | 0 | 1 | 0 | 1 | 0 | 72 | 64 | 8 | 37 | 11 | 16 | 0 | 1 | 2 | 3 | 4 | 76 | 83 | -7 | 70 | 0.486 | 148 | 264 | 412 | 2 | 8 | 43 | 51 | 48 | 18 | 1286 | 434 | 427 | 415 | 52 | 1339 | 435 | 425 | 1280 | 211 | 31 | 14.69% | 193 | 34 | 82.38% | 2 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 | |
_Vs Conference | 35 | 12 | 17 | 0 | 2 | 1 | 2 | 1 | 65 | 67 | -2 | 17 | 7 | 9 | 0 | 1 | 0 | 0 | 0 | 32 | 31 | 1 | 18 | 5 | 8 | 0 | 1 | 1 | 2 | 1 | 33 | 36 | -3 | 34 | 0.486 | 65 | 116 | 181 | 0 | 4 | 43 | 51 | 48 | 18 | 613 | 434 | 427 | 415 | 52 | 616 | 197 | 221 | 618 | 109 | 14 | 12.84% | 98 | 17 | 82.65% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 | |
_Vs Division | 16 | 1 | 9 | 0 | 1 | 0 | 1 | 1 | 42 | 34 | 8 | 8 | 0 | 5 | 0 | 1 | 0 | 0 | 0 | 23 | 13 | 10 | 8 | 1 | 4 | 0 | 0 | 0 | 1 | 1 | 19 | 21 | -2 | 7 | 0.219 | 42 | 77 | 119 | 0 | 0 | 43 | 51 | 48 | 18 | 311 | 434 | 427 | 415 | 52 | 323 | 91 | 114 | 278 | 50 | 7 | 14.00% | 51 | 10 | 80.39% | 0 | 853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% | 1775 | 1241 | 1688 | 509 | 908 | 462 |
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 |
72 | 70 | W2 | 148 | 264 | 412 | 1286 | 1339 | 435 | 425 | 1280 | 2 | 8 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
72 | 26 | 34 | 2 | 2 | 4 | 4 | 148 | 147 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
35 | 15 | 18 | 1 | 0 | 1 | 0 | 72 | 64 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 11 | 16 | 1 | 2 | 3 | 4 | 76 | 83 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 0 | 1 | 0 | 0 |
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 |
---|---|---|---|---|---|---|
211 | 31 | 14.69% | 193 | 34 | 82.38% | 2 |
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 |
---|---|---|---|---|---|---|---|
434 | 427 | 415 | 52 | 43 | 51 | 48 | 18 |
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 |
853 | 1780 | 47.92% | 897 | 1806 | 49.67% | 474 | 982 | 48.27% |
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 |
1775 | 1241 | 1688 | 509 | 908 | 462 |
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 | |
Capacité | 1750 | 1250 |
Prix des billets | 50 | 20 |
Assistance | 38,519 | 29,545 |
Assistance PCT | 62.89% | 67.53% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
6 | 1945 - 64.82% | 86,292$ | 3,020,220$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
1,575,074$ | 1,769,166$ | 1,769,166$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
9,214$ | 1,575,074$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
517,752$ | 21 | 9,214$ | 193,494$ |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|