Cabaret Lady Mary Ann | |
GP: 82 | W: 19 | L: 56 | OTL: 7 | P: 45 GF: 288 | GA: 411 | PP%: 22.42% | PK%: 70.93% DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d’équipe : 51 |
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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 | Alex Newhook (R) | X | X | 100.00 | 68 | 68 | 69 | 80 | 68 | 54 | 51 | 69 | 80 | 62 | 73 | 62 | 69 | 44 | 44 | 0 | 50 | 62 | 0 | 19 | 3 | 908,333$ | |||
2 | Matthew Highmore | X | X | 100.00 | 75 | 43 | 93 | 70 | 67 | 59 | 76 | 61 | 44 | 60 | 58 | 80 | 25 | 54 | 55 | 0 | 50 | 62 | 0 | 24 | 1 | 742,500$ | |||
3 | Arttu Ruotsalainen (R) | X | X | 100.00 | 73 | 42 | 86 | 73 | 65 | 66 | 62 | 67 | 38 | 56 | 80 | 63 | 25 | 45 | 45 | 0 | 50 | 61 | 0 | 22 | 3 | 925,000$ | |||
4 | Tyler Gaudet | X | X | 100.00 | 78 | 77 | 80 | 60 | 77 | 68 | 70 | 62 | 78 | 56 | 64 | 66 | 61 | 45 | 45 | 0 | 50 | 60 | 0 | 27 | 1 | 600,000$ | |||
5 | Francis Perron | X | 100.00 | 65 | 62 | 83 | 61 | 62 | 62 | 65 | 52 | 49 | 53 | 51 | 63 | 48 | 51 | 51 | 0 | 50 | 55 | 0 | 24 | 1 | 730,000$ | ||||
6 | Joseph LaBate | X | X | 100.00 | 71 | 81 | 47 | 61 | 81 | 62 | 64 | 54 | 68 | 47 | 57 | 60 | 54 | 45 | 45 | 0 | 50 | 55 | 0 | 27 | 1 | 575,000$ | |||
7 | Cody McLeod | X | 100.00 | 61 | 75 | 29 | 61 | 75 | 53 | 55 | 51 | 50 | 43 | 46 | 63 | 44 | 80 | 82 | 0 | 50 | 54 | 0 | 36 | 3 | 750,000$ | ||||
8 | Branden Troock | X | 100.00 | 79 | 81 | 87 | 50 | 81 | 46 | 44 | 54 | 49 | 46 | 59 | 67 | 57 | 44 | 44 | 0 | 50 | 54 | 0 | 26 | 1 | 575,000$ | ||||
9 | Par Lindholm | X | X | 100.00 | 77 | 67 | 99 | 64 | 67 | 46 | 47 | 45 | 56 | 38 | 44 | 64 | 42 | 57 | 58 | 0 | 50 | 51 | 0 | 29 | 3 | 700,000$ | |||
10 | Curtis Valk | X | 100.00 | 41 | 35 | 92 | 69 | 49 | 35 | 29 | 31 | 35 | 31 | 31 | 58 | 45 | 35 | 32 | 0 | 50 | 42 | 0 | 27 | 3 | 775,000$ | ||||
11 | Hunter Smith (R) | X | 100.00 | 35 | 45 | 45 | 45 | 74 | 32 | 32 | 35 | 45 | 35 | 35 | 45 | 40 | 32 | 30 | 0 | 50 | 39 | 0 | 25 | 1 | 575,000$ | ||||
12 | Shane Eiserman (R) | X | X | 100.00 | 31 | 40 | 40 | 40 | 69 | 29 | 29 | 31 | 40 | 31 | 31 | 40 | 35 | 32 | 30 | 0 | 50 | 36 | 0 | 24 | 1 | 575,000$ | |||
13 | Yannick Weber | X | 100.00 | 69 | 41 | 85 | 77 | 72 | 61 | 48 | 55 | 24 | 42 | 45 | 63 | 75 | 70 | 71 | 0 | 50 | 60 | 0 | 32 | 3 | 795,833$ | ||||
14 | Leon Gawanke | X | 100.00 | 86 | 79 | 99 | 63 | 72 | 65 | 62 | 53 | 28 | 45 | 44 | 68 | 38 | 44 | 44 | 0 | 50 | 59 | 0 | 21 | 3 | 796,667$ | ||||
15 | Ethan Prow | X | 100.00 | 68 | 67 | 85 | 63 | 66 | 65 | 69 | 55 | 25 | 49 | 49 | 66 | 48 | 51 | 51 | 0 | 50 | 58 | 0 | 27 | 1 | 767,500$ | ||||
16 | Dalton Thrower | X | 100.00 | 35 | 45 | 45 | 45 | 64 | 32 | 32 | 35 | 45 | 35 | 35 | 45 | 40 | 32 | 30 | 0 | 50 | 40 | 0 | 26 | 1 | 575,000$ | ||||
17 | Nicholas Boka (R) | X | 100.00 | 32 | 37 | 37 | 37 | 64 | 31 | 31 | 32 | 37 | 32 | 32 | 37 | 34 | 32 | 30 | 0 | 50 | 36 | 0 | 23 | 1 | 525,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Fredrik Olofsson (R) | X | 100.00 | 32 | 40 | 40 | 40 | 71 | 31 | 31 | 32 | 40 | 32 | 32 | 40 | 36 | 32 | 30 | 0 | 50 | 36 | 0 | 24 | 0 | 0$ | ||||
2 | Jordan Subban (R) | X | 100.00 | 31 | 40 | 40 | 40 | 51 | 29 | 29 | 31 | 40 | 31 | 31 | 40 | 35 | 32 | 30 | 0 | 50 | 36 | 0 | 25 | 1 | 575,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 58 | 56 | 67 | 58 | 68 | 49 | 49 | 48 | 46 | 43 | 47 | 57 | 45 | 45 | 45 | 0 | 50 | 50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ken Appleby (R) | 100.00 | 61 | 56 | 70 | 85 | 62 | 67 | 63 | 68 | 68 | 67 | 30 | 44 | 44 | 0 | 50 | 63 | 0 | |
2 | Mikhail Berdin | 100.00 | 57 | 62 | 86 | 63 | 54 | 59 | 52 | 61 | 55 | 54 | 30 | 44 | 44 | 0 | 50 | 56 | 0 | |
Rayé | ||||||||||||||||||||
1 | Michael McNiven | 100.00 | 50 | 52 | 65 | 76 | 48 | 52 | 56 | 58 | 54 | 54 | 30 | 44 | 44 | 0 | 50 | 54 | 0 | |
MOYENNE D’ÉQUIPE | 100.00 | 56 | 57 | 74 | 75 | 55 | 59 | 57 | 62 | 59 | 58 | 30 | 44 | 44 | 0 | 50 | 58 |
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 | Matthew Highmore | Cabaret Lady Mary Ann (Que) | LW/RW | 82 | 51 | 62 | 113 | 3 | 22 | 0 | 125 | 244 | 507 | 179 | 372 | 10.06% | 136 | 1704 | 20.79 | 8 | 12 | 20 | 75 | 171 | 2 | 0 | 2 | 20 | 257 | 3 | 0 | 41.33% | 150 | 0 | 0 | 0 | 1 | 1.33 | 0 | 5 | 0 | 0 | 0 | 4 | 8 | 2 |
2 | Branden Troock | Cabaret Lady Mary Ann (Que) | RW | 82 | 38 | 51 | 89 | 10 | 59 | 25 | 183 | 85 | 391 | 100 | 256 | 9.72% | 43 | 1387 | 16.92 | 8 | 9 | 17 | 72 | 166 | 0 | 0 | 0 | 0 | 14 | 1 | 1 | 40.00% | 105 | 0 | 0 | 0 | 2 | 1.28 | 2 | 3 | 0 | 3 | 1 | 6 | 3 | 4 |
3 | Tyler Gaudet | Cabaret Lady Mary Ann (Que) | C/LW | 82 | 53 | 35 | 88 | -24 | 65 | 5 | 258 | 284 | 475 | 161 | 384 | 11.16% | 115 | 1466 | 17.89 | 13 | 10 | 23 | 104 | 177 | 0 | 0 | 0 | 4 | 107 | 2 | 1 | 59.27% | 1861 | 0 | 0 | 0 | 3 | 1.20 | 0 | 3 | 1 | 0 | 0 | 7 | 5 | 4 |
4 | Ian McCoshen | Quebec | D | 81 | 11 | 47 | 58 | -15 | 184 | 20 | 342 | 110 | 148 | 56 | 101 | 7.43% | 175 | 1711 | 21.13 | 4 | 8 | 12 | 49 | 141 | 0 | 0 | 0 | 2 | 114 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 2 |
5 | Alex Newhook | Cabaret Lady Mary Ann (Que) | C/LW | 32 | 26 | 27 | 53 | 5 | 12 | 0 | 50 | 135 | 195 | 58 | 145 | 13.33% | 16 | 687 | 21.47 | 3 | 4 | 7 | 23 | 60 | 0 | 0 | 0 | 4 | 67 | 4 | 0 | 59.53% | 897 | 0 | 0 | 0 | 1 | 1.54 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | 3 |
6 | Joseph LaBate | Cabaret Lady Mary Ann (Que) | C/LW | 82 | 23 | 27 | 50 | -32 | 44 | 10 | 127 | 195 | 238 | 62 | 167 | 9.66% | 38 | 1109 | 13.53 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 50 | 2 | 0 | 54.67% | 1553 | 0 | 0 | 0 | 0 | 0.90 | 0 | 3 | 0 | 2 | 0 | 1 | 1 | 2 |
7 | Francis Perron | Cabaret Lady Mary Ann (Que) | LW | 82 | 15 | 31 | 46 | -35 | 10 | 0 | 16 | 164 | 243 | 68 | 172 | 6.17% | 54 | 1202 | 14.66 | 0 | 0 | 0 | 2 | 3 | 0 | 1 | 1 | 4 | 112 | 1 | 0 | 42.52% | 127 | 0 | 0 | 0 | 0 | 0.77 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 3 |
8 | Cody McLeod | Cabaret Lady Mary Ann (Que) | LW | 82 | 14 | 26 | 40 | -31 | 42 | 0 | 128 | 121 | 208 | 67 | 148 | 6.73% | 54 | 1066 | 13.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 52.44% | 82 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
9 | Hunter Smith | Cabaret Lady Mary Ann (Que) | RW | 82 | 12 | 26 | 38 | -23 | 14 | 0 | 23 | 84 | 162 | 52 | 118 | 7.41% | 23 | 1322 | 16.12 | 4 | 5 | 9 | 26 | 165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.24% | 97 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
10 | Arttu Ruotsalainen | Cabaret Lady Mary Ann (Que) | C/LW | 20 | 7 | 11 | 18 | -5 | 12 | 0 | 19 | 59 | 111 | 36 | 58 | 6.31% | 14 | 358 | 17.91 | 1 | 2 | 3 | 6 | 18 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 25.71% | 35 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
11 | Par Lindholm | Cabaret Lady Mary Ann (Que) | C/LW | 78 | 8 | 8 | 16 | -34 | 32 | 10 | 116 | 103 | 151 | 52 | 106 | 5.30% | 55 | 707 | 9.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 30 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 |
12 | Curtis Valk | Cabaret Lady Mary Ann (Que) | C | 82 | 2 | 13 | 15 | -34 | 0 | 0 | 2 | 116 | 94 | 33 | 74 | 2.13% | 28 | 605 | 7.38 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 33.58% | 816 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Ethan Prow | Cabaret Lady Mary Ann (Que) | D | 26 | 2 | 12 | 14 | 10 | 29 | 5 | 20 | 36 | 37 | 9 | 24 | 5.41% | 42 | 554 | 21.32 | 1 | 0 | 1 | 8 | 43 | 0 | 0 | 0 | 0 | 48 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
14 | Nicholas Boka | Cabaret Lady Mary Ann (Que) | D | 82 | 2 | 4 | 6 | -25 | 48 | 0 | 131 | 13 | 10 | 1 | 6 | 20.00% | 54 | 1093 | 13.33 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 0 | 62 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Leon Gawanke | Cabaret Lady Mary Ann (Que) | D | 11 | 0 | 3 | 3 | -3 | 8 | 0 | 28 | 25 | 17 | 4 | 13 | 0.00% | 18 | 198 | 18.03 | 0 | 1 | 1 | 4 | 21 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Dalton Thrower | Cabaret Lady Mary Ann (Que) | D | 11 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 6 | 64 | 5.90 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Shane Eiserman | Cabaret Lady Mary Ann (Que) | C/LW | 11 | 0 | 0 | 0 | -3 | 2 | 0 | 5 | 1 | 0 | 1 | 1 | 0.00% | 7 | 189 | 17.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 1008 | 264 | 384 | 648 | -236 | 585 | 75 | 1573 | 1775 | 2990 | 939 | 2145 | 8.83% | 878 | 15428 | 15.31 | 42 | 51 | 93 | 370 | 998 | 2 | 1 | 3 | 36 | 893 | 17 | 2 | 52.62% | 5754 | 0 | 0 | 0 | 7 | 0.84 | 3 | 16 | 3 | 8 | 2 | 26 | 27 | 23 |
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 | Mikhail Berdin | Cabaret Lady Mary Ann (Que) | 11 | 3 | 7 | 1 | 0.902 | 3.82 | 628 | 0 | 0 | 40 | 408 | 0 | 1 | 0 | 0.333 | 3 | 11 | 0 | 2 | 0 | 0 |
2 | Ken Appleby | Cabaret Lady Mary Ann (Que) | 1 | 0 | 0 | 0 | 0.926 | 3.43 | 35 | 0 | 0 | 2 | 27 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 12 | 3 | 7 | 1 | 0.903 | 3.80 | 663 | 0 | 0 | 42 | 435 | 0 | 1 | 0 | 0.333 | 3 | 11 | 11 | 2 | 0 | 0 |
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 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 |
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Alex Newhook | Cabaret Lady Mary Ann (Que) | C/LW | 19 | 2001-01-28 | Yes | 190 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 908,333$ | 90,833$ | 0$ | No | 908,333$ | 908,333$ | Lien | ||||||||
Arttu Ruotsalainen | Cabaret Lady Mary Ann (Que) | C/LW | 22 | 1997-10-28 | Yes | 185 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 925,000$ | 92,500$ | 0$ | No | 925,000$ | 925,000$ | Lien | ||||||||
Branden Troock | Cabaret Lady Mary Ann (Que) | RW | 26 | 1994-03-19 | No | 220 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 575,000$ | 57,500$ | 0$ | No | Lien | ||||||||||
Cody McLeod | Cabaret Lady Mary Ann (Que) | LW | 36 | 1984-06-26 | No | 204 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 750,000$ | 75,000$ | 0$ | No | 750,000$ | 750,000$ | Lien | ||||||||
Curtis Valk | Cabaret Lady Mary Ann (Que) | C | 27 | 1993-02-08 | No | 170 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 750,000$ | 77,500$ | 0$ | No | 750,000$ | 750,000$ | Lien | ||||||||
Dalton Thrower | Cabaret Lady Mary Ann (Que) | D | 26 | 1993-12-21 | No | 200 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 575,000$ | 57,500$ | 0$ | No | Lien | ||||||||||
Ethan Prow | Cabaret Lady Mary Ann (Que) | D | 27 | 1992-11-17 | No | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 767,500$ | 76,750$ | 0$ | No | Lien | ||||||||||
Francis Perron | Cabaret Lady Mary Ann (Que) | LW | 24 | 1996-04-18 | No | 166 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 730,000$ | 73,000$ | 0$ | No | Lien | ||||||||||
Fredrik Olofsson | Cabaret Lady Mary Ann (Que) | LW | 24 | 1996-05-27 | Yes | 204 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
Hunter Smith | Cabaret Lady Mary Ann (Que) | RW | 25 | 1995-09-11 | Yes | 208 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 575,000$ | 57,500$ | 0$ | No | Lien | ||||||||||
Jordan Subban | Cabaret Lady Mary Ann (Que) | D | 25 | 1995-05-03 | Yes | 175 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 575,000$ | 57,500$ | 0$ | No | Lien | ||||||||||
Joseph LaBate | Cabaret Lady Mary Ann (Que) | C/LW | 27 | 1993-04-16 | No | 210 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 575,000$ | 57,500$ | 0$ | No | Lien | ||||||||||
Ken Appleby | Cabaret Lady Mary Ann (Que) | G | 25 | 1995-04-09 | Yes | 210 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 635,000$ | 63,500$ | 0$ | No | Lien | ||||||||||
Leon Gawanke | Cabaret Lady Mary Ann (Que) | D | 21 | 1999-05-31 | No | 198 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 796,667$ | 79,667$ | 0$ | No | 796,667$ | 796,667$ | Lien | ||||||||
Matthew Highmore | Cabaret Lady Mary Ann (Que) | LW/RW | 24 | 1996-02-27 | No | 188 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 742,500$ | 74,250$ | 0$ | No | Lien | ||||||||||
Michael McNiven | Cabaret Lady Mary Ann (Que) | G | 23 | 1997-07-08 | No | 203 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 682,222$ | 68,222$ | 0$ | No | 682,222$ | 682,222$ | Lien | ||||||||
Mikhail Berdin | Cabaret Lady Mary Ann (Que) | G | 22 | 1998-02-28 | No | 163 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 758,333$ | 75,833$ | 0$ | No | 758,333$ | 758,333$ | 758,333$ | Lien | |||||||
Nicholas Boka | Cabaret Lady Mary Ann (Que) | D | 23 | 1997-09-08 | Yes | 197 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 525,000$ | 52,500$ | 0$ | No | Lien | ||||||||||
Par Lindholm | Cabaret Lady Mary Ann (Que) | C/LW | 29 | 1991-10-05 | No | 183 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 700,000$ | 70,000$ | 0$ | No | 700,000$ | 700,000$ | Lien | ||||||||
Shane Eiserman | Cabaret Lady Mary Ann (Que) | C/LW | 24 | 1995-10-10 | Yes | 200 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 575,000$ | 57,500$ | 0$ | No | Lien | ||||||||||
Tyler Gaudet | Cabaret Lady Mary Ann (Que) | C/LW | 27 | 1993-03-04 | No | 205 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 600,000$ | 60,000$ | 0$ | No | Lien | ||||||||||
Yannick Weber | Cabaret Lady Mary Ann (Que) | D | 32 | 1988-09-23 | No | 200 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 750,000$ | 79,583$ | 0$ | No | 750,000$ | 750,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
22 | 25.36 | 194 Lbs | 6 ft1 | 1.82 | 657,753$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matthew Highmore | Alex Newhook | Branden Troock | 40 | 1 | 2 | 2 |
2 | Arttu Ruotsalainen | Tyler Gaudet | Hunter Smith | 30 | 1 | 2 | 2 |
3 | Francis Perron | Joseph LaBate | Cody McLeod | 20 | 1 | 2 | 2 |
4 | Par Lindholm | Curtis Valk | Shane Eiserman | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ethan Prow | 40 | 1 | 2 | 2 | ||
2 | Shane Eiserman | Par Lindholm | 30 | 1 | 2 | 2 | |
3 | Leon Gawanke | Nicholas Boka | 20 | 1 | 2 | 2 | |
4 | Ethan Prow | 10 | 1 | 2 | 2 |
Attaque en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matthew Highmore | Alex Newhook | Branden Troock | 60 | 1 | 2 | 2 |
2 | Arttu Ruotsalainen | Tyler Gaudet | Hunter Smith | 40 | 1 | 2 | 2 |
Défense en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Nicholas Boka | 60 | 1 | 2 | 2 | ||
2 | Leon Gawanke | Ethan Prow | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Joseph LaBate | Matthew Highmore | 60 | 1 | 2 | 2 |
2 | Tyler Gaudet | Branden Troock | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Dalton Thrower | 60 | 1 | 2 | 2 | |
2 | Ethan Prow | Nicholas Boka | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Alex Newhook | 60 | 1 | 2 | 2 | Nicholas Boka | 60 | 1 | 2 | 2 | |
2 | Matthew Highmore | 40 | 1 | 2 | 2 | Dalton Thrower | Leon Gawanke | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Curtis Valk | Matthew Highmore | 60 | 1 | 2 | 2 |
2 | Tyler Gaudet | Francis Perron | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Dalton Thrower | 60 | 1 | 2 | 2 | |
2 | Leon Gawanke | Ethan Prow | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Arttu Ruotsalainen | Alex Newhook | Matthew Highmore | Dalton Thrower |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matthew Highmore | Curtis Valk | Branden Troock | Ethan Prow | Nicholas Boka |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Arttu Ruotsalainen, Alex Newhook, Francis Perron | Arttu Ruotsalainen, Alex Newhook | Francis Perron |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Dalton Thrower, Nicholas Boka, Leon Gawanke | Dalton Thrower | Nicholas Boka, Leon Gawanke |
Tirs de pénalité |
---|
Alex Newhook, Matthew Highmore, Tyler Gaudet, Arttu Ruotsalainen, Joseph LaBate |
Gardien |
---|
#1 : Mikhail Berdin, #2 : Ken Appleby |
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 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 131 | 94 | 60 | 4 | 80 | 1124 | 1085 | 1046 | 45 | 100 | 34 | 24 | 45 | 4 | 2 | 50.00% | 9 | 3 | 66.67% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
2 | Baby Hawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 131 | 94 | 60 | 4 | 73 | 1124 | 1085 | 1046 | 45 | 93 | 26 | 24 | 43 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
3 | Bears | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 17 | -5 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 11 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0.167 | 12 | 20 | 32 | 0 | 0 | 131 | 94 | 60 | 4 | 106 | 1124 | 1085 | 1046 | 45 | 194 | 45 | 43 | 54 | 8 | 4 | 50.00% | 12 | 4 | 66.67% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
4 | Bruins | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 131 | 94 | 60 | 4 | 161 | 1124 | 1085 | 1046 | 45 | 191 | 66 | 34 | 91 | 14 | 1 | 7.14% | 11 | 3 | 72.73% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
5 | Caroline | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 14 | 20 | 34 | 0 | 0 | 131 | 94 | 60 | 4 | 131 | 1124 | 1085 | 1046 | 45 | 147 | 50 | 20 | 68 | 8 | 1 | 12.50% | 10 | 3 | 70.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
6 | Chiefs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 131 | 94 | 60 | 4 | 58 | 1124 | 1085 | 1046 | 45 | 98 | 22 | 21 | 43 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
7 | Chill | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 131 | 94 | 60 | 4 | 82 | 1124 | 1085 | 1046 | 45 | 73 | 30 | 11 | 46 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
8 | Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 131 | 94 | 60 | 4 | 80 | 1124 | 1085 | 1046 | 45 | 96 | 22 | 13 | 48 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
9 | Cougars | 4 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 11 | 16 | -5 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 11 | -2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 2 | 0.250 | 11 | 19 | 30 | 0 | 0 | 131 | 94 | 60 | 4 | 164 | 1124 | 1085 | 1046 | 45 | 186 | 65 | 20 | 89 | 11 | 1 | 9.09% | 9 | 3 | 66.67% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
10 | Crunch | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 16 | 14 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 7 | 0.875 | 16 | 26 | 42 | 0 | 0 | 131 | 94 | 60 | 4 | 210 | 1124 | 1085 | 1046 | 45 | 183 | 57 | 18 | 120 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
11 | Heat | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 10 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 131 | 94 | 60 | 4 | 89 | 1124 | 1085 | 1046 | 45 | 108 | 35 | 16 | 63 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
12 | Jayhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 131 | 94 | 60 | 4 | 78 | 1124 | 1085 | 1046 | 45 | 105 | 27 | 16 | 51 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
13 | Las Vegas | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 131 | 94 | 60 | 4 | 79 | 1124 | 1085 | 1046 | 45 | 132 | 27 | 6 | 60 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
14 | Manchots | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 21 | -15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 131 | 94 | 60 | 4 | 119 | 1124 | 1085 | 1046 | 45 | 165 | 48 | 33 | 63 | 6 | 1 | 16.67% | 14 | 6 | 57.14% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
15 | Marlies | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 19 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.250 | 11 | 17 | 28 | 0 | 0 | 131 | 94 | 60 | 4 | 125 | 1124 | 1085 | 1046 | 45 | 221 | 72 | 43 | 97 | 16 | 1 | 6.25% | 17 | 7 | 58.82% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
16 | Minnesota | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 11 | 18 | 29 | 0 | 0 | 131 | 94 | 60 | 4 | 87 | 1124 | 1085 | 1046 | 45 | 87 | 45 | 22 | 43 | 5 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
17 | Monarchs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 131 | 94 | 60 | 4 | 71 | 1124 | 1085 | 1046 | 45 | 88 | 35 | 16 | 43 | 3 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
18 | Monsters | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 8 | 11 | 19 | 0 | 0 | 131 | 94 | 60 | 4 | 102 | 1124 | 1085 | 1046 | 45 | 166 | 45 | 24 | 82 | 4 | 1 | 25.00% | 11 | 2 | 81.82% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
19 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 131 | 94 | 60 | 4 | 76 | 1124 | 1085 | 1046 | 45 | 85 | 25 | 20 | 43 | 4 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
20 | Oceanics | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 131 | 94 | 60 | 4 | 74 | 1124 | 1085 | 1046 | 45 | 90 | 27 | 8 | 54 | 4 | 2 | 50.00% | 4 | 4 | 0.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
21 | Oil Kings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 131 | 94 | 60 | 4 | 72 | 1124 | 1085 | 1046 | 45 | 81 | 27 | 18 | 51 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
22 | Phantoms | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 19 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 11 | 19 | 30 | 0 | 0 | 131 | 94 | 60 | 4 | 123 | 1124 | 1085 | 1046 | 45 | 143 | 37 | 22 | 67 | 12 | 5 | 41.67% | 11 | 5 | 54.55% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
23 | Rocket | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 22 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 0 | 0.000 | 14 | 23 | 37 | 0 | 0 | 131 | 94 | 60 | 4 | 136 | 1124 | 1085 | 1046 | 45 | 187 | 58 | 54 | 95 | 13 | 4 | 30.77% | 15 | 4 | 73.33% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
24 | Senators | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 16 | 19 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.375 | 16 | 29 | 45 | 0 | 0 | 131 | 94 | 60 | 4 | 133 | 1124 | 1085 | 1046 | 45 | 182 | 43 | 38 | 108 | 10 | 4 | 40.00% | 19 | 5 | 73.68% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
25 | Sharks | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 131 | 94 | 60 | 4 | 86 | 1124 | 1085 | 1046 | 45 | 85 | 30 | 12 | 49 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
26 | Sound Tigers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.333 | 15 | 24 | 39 | 0 | 0 | 131 | 94 | 60 | 4 | 141 | 1124 | 1085 | 1046 | 45 | 145 | 54 | 20 | 80 | 7 | 2 | 28.57% | 10 | 3 | 70.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
27 | Spiders | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 14 | 17 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.333 | 14 | 19 | 33 | 0 | 0 | 131 | 94 | 60 | 4 | 101 | 1124 | 1085 | 1046 | 45 | 147 | 58 | 24 | 73 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
28 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 131 | 94 | 60 | 4 | 88 | 1124 | 1085 | 1046 | 45 | 100 | 25 | 8 | 40 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
29 | Thunder | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.500 | 20 | 31 | 51 | 1 | 0 | 131 | 94 | 60 | 4 | 216 | 1124 | 1085 | 1046 | 45 | 197 | 46 | 42 | 92 | 16 | 5 | 31.25% | 22 | 8 | 63.64% | 2 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
30 | Wolf Pack | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 14 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.667 | 16 | 30 | 46 | 0 | 0 | 131 | 94 | 60 | 4 | 139 | 1124 | 1085 | 1046 | 45 | 129 | 33 | 16 | 69 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
Total | 82 | 16 | 56 | 0 | 1 | 4 | 2 | 3 | 288 | 411 | -123 | 41 | 7 | 28 | 0 | 1 | 0 | 2 | 3 | 149 | 203 | -54 | 41 | 9 | 28 | 0 | 0 | 4 | 0 | 0 | 139 | 208 | -69 | 45 | 0.274 | 288 | 470 | 758 | 2 | 0 | 131 | 94 | 60 | 4 | 3280 | 1124 | 1085 | 1046 | 45 | 4004 | 1214 | 686 | 1970 | 223 | 50 | 22.42% | 289 | 84 | 70.93% | 2 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 | |
_Since Last GM Reset | 82 | 16 | 56 | 0 | 1 | 4 | 2 | 3 | 288 | 411 | -123 | 41 | 7 | 28 | 0 | 1 | 0 | 2 | 3 | 149 | 203 | -54 | 41 | 9 | 28 | 0 | 0 | 4 | 0 | 0 | 139 | 208 | -69 | 45 | 0.274 | 288 | 470 | 758 | 2 | 0 | 131 | 94 | 60 | 4 | 3280 | 1124 | 1085 | 1046 | 45 | 4004 | 1214 | 686 | 1970 | 223 | 50 | 22.42% | 289 | 84 | 70.93% | 2 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 | |
_Vs Conference | 35 | 7 | 22 | 0 | 0 | 3 | 1 | 2 | 120 | 165 | -45 | 17 | 4 | 10 | 0 | 0 | 0 | 1 | 2 | 68 | 78 | -10 | 18 | 3 | 12 | 0 | 0 | 3 | 0 | 0 | 52 | 87 | -35 | 21 | 0.300 | 120 | 198 | 318 | 1 | 0 | 131 | 94 | 60 | 4 | 1421 | 1124 | 1085 | 1046 | 45 | 1688 | 511 | 276 | 857 | 94 | 16 | 17.02% | 111 | 26 | 76.58% | 0 | 1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% | 1696 | 1144 | 2225 | 611 | 1036 | 481 |
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 | 45 | SOL1 | 288 | 470 | 758 | 3280 | 4004 | 1214 | 686 | 1970 | 2 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 16 | 56 | 1 | 4 | 2 | 3 | 288 | 411 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 7 | 28 | 1 | 0 | 2 | 3 | 149 | 203 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 9 | 28 | 0 | 4 | 0 | 0 | 139 | 208 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 6 | 0 | 0 | 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 |
---|---|---|---|---|---|---|
223 | 50 | 22.42% | 289 | 84 | 70.93% | 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 |
---|---|---|---|---|---|---|---|
1124 | 1085 | 1046 | 45 | 131 | 94 | 60 | 4 |
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 |
1466 | 2988 | 49.06% | 1430 | 3176 | 45.03% | 728 | 1534 | 47.46% |
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 |
1696 | 1144 | 2225 | 611 | 1036 | 481 |
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 | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 79,655 | 39,360 |
Assistance PCT | 97.14% | 96.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe | 0 | 2903 - 96.76% | 82,398$ | 3,378,325$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
1,475,393$ | 1,447,055$ | 1,454,138$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
7,776$ | 1,481,323$ | 21 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 7,738$ | 0$ |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |