![]() | Chicago |
| GP: 79 | W: 48 | L: 27 | OTL: 4 | P: 100 GF: 282 | GA: 238 | PP%: 25.87% | PK%: 81.90% DG: Pierre-Luc Simard | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #996 vs Vancouver |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ryan O'Reilly (A) | X | X | 100.00 | 75 | 35 | 92 | 71 | 80 | 86 | 97 | 80 | 85 | 78 | 76 | 78 | 77 | 76 | 94 | 29 | 50 | 0 | 0 | 33 | 1 | 6,370,000$ | |||
| 2 | Pavel Zacha | X | X | 100.00 | 83 | 34 | 90 | 84 | 96 | 92 | 95 | 85 | 88 | 88 | 79 | 73 | 85 | 57 | 48 | 67 | 50 | 0 | 0 | 27 | 2 | 5,500,000$ | |||
| 3 | Cole Caufield | X | X | 100.00 | 82 | 32 | 96 | 93 | 80 | 95 | 99 | 86 | 73 | 82 | 83 | 66 | 94 | 43 | 41 | 85 | 50 | 0 | 0 | 23 | 2 | 900,000$ | |||
| 4 | Owen Tippett | X | X | 100.00 | 84 | 32 | 94 | 87 | 86 | 86 | 95 | 82 | 73 | 78 | 80 | 66 | 80 | 50 | 47 | 75 | 50 | 0 | 0 | 25 | 1 | 900,000$ | |||
| 5 | Yegor Sharangovich | X | X | X | 100.00 | 70 | 34 | 99 | 91 | 96 | 96 | 93 | 86 | 78 | 84 | 86 | 78 | 85 | 47 | 45 | 66 | 50 | 0 | 0 | 26 | 3 | 7,850,000$ | ||
| 6 | Jesse Puljujarvi | X | 100.00 | 88 | 35 | 91 | 89 | 94 | 92 | 94 | 74 | 75 | 69 | 76 | 62 | 80 | 50 | 44 | 70 | 50 | 0 | 0 | 26 | 1 | 1,950,000$ | ||||
| 7 | Curtis Lazar | X | X | X | 100.00 | 72 | 28 | 97 | 77 | 78 | 80 | 85 | 66 | 84 | 65 | 72 | 75 | 79 | 58 | 70 | 47 | 50 | 0 | 0 | 29 | 1 | 800,000$ | ||
| 8 | Radek Faksa | X | X | 100.00 | 85 | 32 | 85 | 78 | 90 | 85 | 99 | 84 | 89 | 83 | 81 | 75 | 80 | 63 | 54 | 43 | 50 | 0 | 0 | 30 | 2 | 6,250,000$ | |||
| 9 | Aleksander Barkov (C) | X | 100.00 | 86 | 34 | 88 | 98 | 88 | 99 | 94 | 92 | 94 | 89 | 86 | 73 | 90 | 54 | 51 | 65 | 50 | 0 | 0 | 28 | 1 | 4,648,000$ | ||||
| 10 | Logan Shaw | X | X | 100.00 | 64 | 26 | 99 | 69 | 89 | 67 | 94 | 67 | 88 | 65 | 69 | 75 | 81 | 68 | 65 | 42 | 50 | 0 | 0 | 31 | 2 | 800,000$ | |||
| 11 | Mikael Backlund (A) | X | X | 100.00 | 72 | 35 | 97 | 68 | 83 | 78 | 85 | 67 | 81 | 66 | 70 | 75 | 80 | 84 | 77 | 25 | 50 | 0 | 0 | 35 | 2 | 585,000$ | |||
| 12 | Ryan Poehling | X | X | 100.00 | 73 | 35 | 97 | 83 | 81 | 77 | 87 | 73 | 84 | 72 | 74 | 83 | 80 | 48 | 49 | 57 | 50 | 0 | 0 | 26 | 1 | 2,300,000$ | |||
| 13 | Ryan Pulock | X | 100.00 | 68 | 42 | 82 | 80 | 96 | 99 | 99 | 68 | 55 | 66 | 66 | 94 | 78 | 58 | 54 | 64 | 50 | 0 | 0 | 29 | 2 | 4,000,000$ | ||||
| 14 | John Klingberg | X | 100.00 | 71 | 33 | 84 | 84 | 81 | 96 | 93 | 75 | 50 | 74 | 70 | 86 | 83 | 72 | 58 | 49 | 50 | 0 | 0 | 31 | 2 | 5,800,000$ | ||||
| 15 | Nick Leddy | X | 100.00 | 60 | 45 | 92 | 82 | 71 | 86 | 99 | 64 | 1 | 69 | 56 | 88 | 48 | 76 | 66 | 38 | 50 | 0 | 0 | 33 | 1 | 2,160,000$ | ||||
| 16 | Brett Pesce | X | 100.00 | 60 | 43 | 89 | 84 | 90 | 98 | 99 | 74 | 57 | 74 | 68 | 93 | 85 | 61 | 48 | 60 | 50 | 0 | 0 | 29 | 1 | 5,600,000$ | ||||
| 17 | John Marino | X | 100.00 | 73 | 35 | 81 | 95 | 89 | 99 | 90 | 65 | 57 | 70 | 54 | 98 | 79 | 54 | 46 | 68 | 50 | 0 | 0 | 27 | 2 | 3,700,000$ | ||||
| 18 | Martin Fehervary (R) | X | 100.00 | 86 | 35 | 94 | 73 | 85 | 79 | 99 | 58 | 50 | 58 | 52 | 94 | 70 | 46 | 46 | 76 | 50 | 0 | 0 | 24 | 2 | 800,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| Équipe Mineure | |||||||||||||||||||||||||||||
| 1 | Boris Katchouk (R) | X | 99.00 | 76 | 36 | 82 | 74 | 90 | 80 | 95 | 71 | 73 | 70 | 74 | 73 | 74 | 53 | 50 | 54 | 50 | 0 | 0 | 26 | 3 | 1,200,000$ | ||||
| 2 | Nicolas Deslauriers | X | X | 100.00 | 90 | 75 | 49 | 66 | 90 | 69 | 94 | 65 | 70 | 65 | 67 | 59 | 75 | 75 | 82 | 19 | 50 | 0 | 0 | 33 | 1 | 500,000$ | |||
| 3 | Jean Gabriel Pageau | X | 100.00 | 64 | 29 | 97 | 80 | 61 | 76 | 77 | 65 | 62 | 62 | 70 | 61 | 74 | 60 | 51 | 21 | 50 | 0 | 0 | 31 | 1 | 500,000$ | ||||
| 4 | Rourke Chartier | X | X | X | 100.00 | 67 | 30 | 96 | 71 | 83 | 74 | 85 | 67 | 87 | 65 | 68 | 69 | 76 | 60 | 60 | 45 | 50 | 0 | 0 | 28 | 2 | 800,000$ | ||
| 5 | Michael Dal Colle | X | X | 100.00 | 71 | 33 | 87 | 78 | 89 | 79 | 91 | 72 | 76 | 66 | 72 | 59 | 81 | 55 | 52 | 49 | 50 | 0 | 0 | 28 | 1 | 800,000$ | |||
| 6 | Mitchell Stephens | X | 99.00 | 69 | 29 | 92 | 77 | 84 | 76 | 86 | 75 | 91 | 75 | 73 | 65 | 78 | 55 | 53 | 49 | 50 | 0 | 0 | 27 | 1 | 950,000$ | ||||
| 7 | Jordan Szwarz | X | X | 100.00 | 69 | 30 | 81 | 60 | 80 | 66 | 78 | 69 | 71 | 67 | 69 | 61 | 73 | 70 | 61 | 20 | 50 | 0 | 0 | 33 | 1 | 500,000$ | |||
| 8 | Juho Lammikko | X | 100.00 | 61 | 33 | 96 | 81 | 87 | 80 | 87 | 70 | 82 | 70 | 68 | 60 | 86 | 56 | 49 | 43 | 50 | 0 | 0 | 28 | 1 | 850,000$ | ||||
| 9 | Martin Pospisil (R) | X | X | X | 100.00 | 96 | 45 | 75 | 85 | 79 | 78 | 99 | 69 | 77 | 74 | 68 | 63 | 70 | 46 | 46 | 68 | 50 | 0 | 0 | 24 | 2 | 500,000$ | ||
| 10 | Jakub Lauko (R) | X | X | X | 100.00 | 85 | 65 | 75 | 78 | 83 | 72 | 83 | 66 | 70 | 67 | 69 | 69 | 70 | 46 | 46 | 61 | 50 | 0 | 0 | 24 | 2 | 700,000$ | ||
| 11 | Jani Hakanpaa | X | 100.00 | 86 | 33 | 62 | 67 | 95 | 76 | 87 | 50 | 50 | 47 | 53 | 91 | 74 | 70 | 71 | 25 | 50 | 0 | 0 | 32 | 2 | 1,000,000$ | ||||
| 12 | Noah Juulsen | X | 100.00 | 75 | 32 | 79 | 78 | 81 | 80 | 61 | 50 | 50 | 51 | 48 | 86 | 76 | 53 | 50 | 47 | 50 | 0 | 0 | 27 | 2 | 950,000$ | ||||
| 13 | Derrick Pouliot | X | 100.00 | 72 | 30 | 70 | 79 | 79 | 80 | 84 | 50 | 50 | 49 | 46 | 84 | 73 | 62 | 66 | 30 | 50 | 0 | 0 | 30 | 1 | 675,000$ | ||||
| 14 | Christian Djoos | X | 100.00 | 61 | 35 | 83 | 91 | 70 | 88 | 87 | 60 | 56 | 57 | 57 | 85 | 76 | 60 | 50 | 44 | 50 | 0 | 0 | 29 | 4 | 975,000$ | ||||
| 15 | Jake Middleton | X | 100.00 | 78 | 44 | 59 | 72 | 91 | 82 | 96 | 47 | 70 | 49 | 49 | 92 | 75 | 60 | 55 | 40 | 50 | 0 | 0 | 28 | 1 | 1,300,000$ | ||||
| 16 | Braden Schneider (R) | X | 98.00 | 87 | 30 | 95 | 80 | 87 | 81 | 98 | 58 | 50 | 56 | 56 | 93 | 70 | 39 | 39 | 79 | 50 | 0 | 0 | 22 | 3 | 900,000$ | ||||
| 17 | Josh Jooris | X | X | 94.00 | 61 | 24 | 96 | 65 | 85 | 74 | 85 | 64 | 82 | 63 | 68 | 63 | 83 | 69 | 70 | 25 | 50 | 0 | 0 | 33 | 1 | 500,000$ | |||
| 18 | Daniel Brickley | X | 100.00 | 69 | 35 | 75 | 76 | 95 | 77 | 87 | 46 | 53 | 45 | 45 | 84 | 73 | 53 | 49 | 37 | 50 | 0 | 0 | 29 | 1 | 775,000$ | ||||
| MOYENNE D’ÉQUIPE | 99.72 | 75 | 36 | 86 | 79 | 85 | 83 | 90 | 68 | 69 | 67 | 67 | 76 | 78 | 59 | 56 | 50 | 50 | 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 gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Linus Ullmark | 100.00 | 65 | 88 | 91 | 83 | 80 | 93 | 92 | 95 | 93 | 82 | 87 | 67 | 67 | 52 | 50 | 0 | 0 | 30 | 3 | 3,400,000$ | |
| 2 | Sergei Bobrovsky | 100.00 | 61 | 87 | 83 | 79 | 75 | 88 | 90 | 85 | 88 | 70 | 78 | 88 | 84 | 37 | 50 | 0 | 0 | 36 | 2 | 510,000$ | |
| Rayé | |||||||||||||||||||||||
| Équipe Mineure | |||||||||||||||||||||||
| 1 | Josef Korenar (R) | 100.00 | 69 | 80 | 78 | 75 | 77 | 85 | 86 | 87 | 89 | 81 | 74 | 48 | 48 | 64 | 50 | 0 | 0 | 26 | 1 | 775,000$ | |
| 2 | Kevin Lankinen | 94.00 | 67 | 90 | 89 | 76 | 79 | 87 | 88 | 87 | 88 | 83 | 81 | 61 | 61 | 59 | 50 | 0 | 0 | 29 | 4 | 1,200,000$ | |
| MOYENNE D’ÉQUIPE | 98.50 | 66 | 86 | 85 | 78 | 78 | 88 | 89 | 89 | 90 | 79 | 80 | 66 | 65 | 53 | 50 | 0 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jon Cooper | 81 | 85 | 99 | 91 | 93 | 97 | 76 | CAN | 57 | 2 | 5,100,000$ |
| 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 | Aleksander Barkov | Chicago | C | 79 | 45 | 48 | 93 | 12 | 30 | 0 | 108 | 156 | 346 | 95 | 241 | 13.01% | 9 | 1466 | 18.56 | 13 | 17 | 30 | 70 | 224 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 53.30% | 2058 | 0 | 0 | 1 | 2 | 1.27 | 2 | 5 | 0 | 0 | 0 | 8 | 7 | 5 |
| 2 | Pavel Zacha | Chicago | C/LW | 79 | 25 | 48 | 73 | 6 | 30 | 0 | 111 | 133 | 231 | 60 | 190 | 10.82% | 20 | 1496 | 18.95 | 5 | 16 | 21 | 53 | 232 | 0 | 0 | 0 | 0 | 8 | 6 | 1 | 51.49% | 1682 | 0 | 0 | 0 | 0 | 0.98 | 1 | 2 | 0 | 0 | 0 | 5 | 6 | 1 |
| 3 | Radek Faksa | Chicago | C/LW | 79 | 19 | 43 | 62 | 5 | 40 | 0 | 102 | 90 | 265 | 88 | 168 | 7.17% | 9 | 1403 | 17.77 | 2 | 13 | 15 | 53 | 189 | 0 | 0 | 0 | 2 | 19 | 5 | 0 | 53.94% | 432 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 3 |
| 4 | Brett Pesce | Chicago | D | 79 | 19 | 41 | 60 | 0 | 47 | 15 | 55 | 75 | 180 | 50 | 137 | 10.56% | 145 | 1788 | 22.64 | 8 | 15 | 23 | 90 | 237 | 0 | 0 | 0 | 2 | 154 | 1 | 0 | 0% | 0 | 0 | 0 | 2 | 1 | 0.67 | 1 | 4 | 0 | 1 | 2 | 2 | 4 | 6 |
| 5 | Cole Caufield | Chicago | LW/RW | 79 | 23 | 36 | 59 | 16 | 16 | 0 | 74 | 66 | 312 | 72 | 217 | 7.37% | 5 | 1499 | 18.99 | 6 | 7 | 13 | 51 | 233 | 0 | 0 | 0 | 0 | 2 | 3 | 2 | 45.00% | 100 | 0 | 0 | 0 | 1 | 0.79 | 4 | 6 | 0 | 0 | 0 | 5 | 0 | 5 |
| 6 | John Klingberg | Chicago | D | 79 | 13 | 42 | 55 | 0 | 48 | 0 | 72 | 60 | 155 | 48 | 98 | 8.39% | 91 | 1625 | 20.58 | 8 | 13 | 21 | 74 | 186 | 0 | 0 | 0 | 0 | 41 | 2 | 2 | 0% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 4 |
| 7 | John Marino | Chicago | D | 79 | 7 | 41 | 48 | 6 | 51 | 5 | 94 | 88 | 97 | 18 | 47 | 7.22% | 137 | 1608 | 20.36 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 216 | 1 | 0 | 0% | 0 | 0 | 0 | 1 | 0 | 0.60 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 |
| 8 | Ryan Pulock | Chicago | D | 79 | 13 | 34 | 47 | 2 | 72 | 0 | 116 | 75 | 149 | 48 | 99 | 8.72% | 106 | 1756 | 22.23 | 8 | 5 | 13 | 57 | 187 | 0 | 0 | 0 | 2 | 193 | 2 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 |
| 9 | Ryan O'Reilly | Chicago | C/LW | 79 | 23 | 23 | 46 | 19 | 14 | 0 | 46 | 127 | 206 | 56 | 137 | 11.17% | 13 | 1338 | 16.94 | 4 | 10 | 14 | 45 | 194 | 0 | 0 | 0 | 8 | 232 | 4 | 0 | 51.20% | 1748 | 0 | 0 | 1 | 1 | 0.69 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 |
| 10 | Owen Tippett | Chicago | LW/RW | 79 | 18 | 28 | 46 | 2 | 19 | 5 | 66 | 58 | 220 | 79 | 156 | 8.18% | 6 | 1405 | 17.79 | 6 | 11 | 17 | 50 | 205 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 45.63% | 103 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 |
| 11 | Yegor Sharangovich | Chicago | C/LW/RW | 50 | 20 | 20 | 40 | 2 | 6 | 0 | 13 | 53 | 234 | 69 | 150 | 8.55% | 15 | 937 | 18.74 | 6 | 9 | 15 | 50 | 148 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 46.58% | 73 | 0 | 0 | 0 | 1 | 0.85 | 1 | 2 | 0 | 0 | 0 | 2 | 1 | 4 |
| 12 | Nick Leddy | Chicago | D | 79 | 5 | 31 | 36 | 15 | 12 | 0 | 23 | 47 | 58 | 20 | 25 | 8.62% | 85 | 1162 | 14.71 | 0 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 |
| 13 | Ryan Poehling | Chicago | C/LW | 77 | 13 | 20 | 33 | 21 | 6 | 0 | 23 | 57 | 124 | 37 | 90 | 10.48% | 8 | 864 | 11.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 229 | 2 | 0 | 52.22% | 270 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
| 14 | Jesse Puljujarvi | Chicago | RW | 78 | 10 | 15 | 25 | 14 | 35 | 5 | 90 | 37 | 120 | 37 | 64 | 8.33% | 8 | 965 | 12.38 | 1 | 2 | 3 | 15 | 82 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 40.86% | 93 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 |
| 15 | Martin Fehervary | Chicago | D | 79 | 3 | 20 | 23 | 17 | 66 | 0 | 120 | 44 | 55 | 18 | 38 | 5.45% | 113 | 1347 | 17.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 189 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| 16 | Logan Shaw | Chicago | C/RW | 79 | 6 | 10 | 16 | -18 | 0 | 0 | 16 | 61 | 55 | 20 | 42 | 10.91% | 8 | 714 | 9.04 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 153 | 1 | 3 | 53.27% | 886 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 17 | Curtis Lazar | Chicago | C/LW/RW | 79 | 6 | 4 | 10 | -18 | 14 | 0 | 35 | 38 | 71 | 17 | 56 | 8.45% | 12 | 708 | 8.97 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 148 | 0 | 1 | 54.17% | 48 | 0 | 0 | 1 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 18 | Mikael Backlund | Chicago | C/RW | 79 | 3 | 6 | 9 | -17 | 10 | 0 | 35 | 20 | 82 | 19 | 55 | 3.66% | 12 | 652 | 8.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 79 | 0 | 0 | 50.00% | 56 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Statistiques d’équipe totales ou en moyenne | 1390 | 271 | 510 | 781 | 84 | 516 | 30 | 1199 | 1285 | 2960 | 851 | 2010 | 9.16% | 802 | 22741 | 16.36 | 67 | 119 | 186 | 612 | 2133 | 0 | 0 | 0 | 30 | 1678 | 42 | 16 | 51.95% | 7549 | 0 | 0 | 6 | 6 | 0.69 | 9 | 19 | 0 | 2 | 3 | 38 | 31 | 46 | |||
| 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 | Linus Ullmark | Chicago | 58 | 36 | 19 | 2 | 0.913 | 2.84 | 3447 | 8 | 3 | 163 | 1874 | 0 | 2 | 1 | 0.692 | 13 | 58 | 20 | 6 | 5 | 2 |
| 2 | Sergei Bobrovsky | Chicago | 22 | 12 | 7 | 2 | 0.903 | 3.12 | 1269 | 0 | 0 | 66 | 679 | 0 | 1 | 1 | 0.333 | 6 | 20 | 59 | 1 | 1 | 1 |
| 3 | Kevin Lankinen | Rockford (CHI) | 1 | 0 | 1 | 0 | 0.911 | 4.00 | 60 | 0 | 0 | 4 | 45 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 81 | 48 | 27 | 4 | 0.910 | 2.93 | 4777 | 8 | 3 | 233 | 2598 | 0 | 3 | 2 | 19 | 79 | 79 | 7 | 6 | 3 | |||
| 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 | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aleksander Barkov (contrat à 1 volet) | Chicago | C | 28 | 1995-09-02 | FIN | No | 224 Lbs | 6 ft3 | No | No | Trade | 2025-03-13 | Yes | Yes | 1 | 2025-03-13 | False | False | Pro & Farm | 4,648,000$ | 278,880$ | 4,648,000$ | 278,880$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Brett Pesce (contrat à 1 volet) | Chicago | D | 29 | 1994-11-15 | USA | No | 204 Lbs | 6 ft3 | No | No | N/A | Yes | Yes | 1 | 2025-09-11 | False | False | Pro & Farm | 5,600,000$ | 336,000$ | 5,600,000$ | 336,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Cole Caufield | Chicago | LW/RW | 23 | 2001-01-02 | USA | No | 175 Lbs | 5 ft8 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 900,000$ | 54,000$ | 900,000$ | 54,000$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | ||
| Curtis Lazar (contrat à 1 volet) | Chicago | C/LW/RW | 29 | 1995-02-02 | CAN | No | 217 Lbs | 6 ft0 | No | No | Trade | 2025-03-13 | Yes | Yes | 1 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 48,000$ | 800,000$ | 48,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Jesse Puljujarvi (contrat à 1 volet) | Chicago | RW | 26 | 1998-05-07 | FIN | No | 201 Lbs | 6 ft4 | No | No | N/A | Yes | Yes | 1 | 2024-09-15 | False | False | Pro & Farm | 1,950,000$ | 117,000$ | 1,950,000$ | 117,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| John Klingberg (contrat à 1 volet) | Chicago | D | 31 | 1992-08-14 | SWE | No | 187 Lbs | 6 ft2 | No | No | N/A | Yes | Yes | 2 | False | False | Pro & Farm | 5,800,000$ | 348,000$ | 5,800,000$ | 348,000$ | No | 5,800,000$ | - | - | - | - | - | - | - | - | 5,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| John Marino (contrat à 1 volet) | Chicago | D | 27 | 1997-05-21 | USA | No | 186 Lbs | 6 ft1 | No | No | Trade | 2024-11-07 | Yes | Yes | 2 | False | False | Pro & Farm | 3,700,000$ | 222,000$ | 3,700,000$ | 222,000$ | No | 3,700,000$ | - | - | - | - | - | - | - | - | 3,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Linus Ullmark (contrat à 1 volet) | Chicago | G | 30 | 1993-07-31 | SWE | No | 226 Lbs | 6 ft4 | No | No | N/A | Yes | Yes | 3 | 2024-09-15 | False | False | Pro & Farm | 3,400,000$ | 204,000$ | 3,400,000$ | 204,000$ | No | 3,400,000$ | 3,400,000$ | - | - | - | - | - | - | - | 3,400,000$ | 3,400,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Logan Shaw | Chicago | C/RW | 31 | 1992-10-05 | CAN | No | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 48,000$ | 800,000$ | 48,000$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Martin Fehervary | Chicago | D | 24 | 1999-10-06 | SVK | Yes | 199 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2025-10-16 | False | False | Pro & Farm | 800,000$ | 48,000$ | 800,000$ | 48,000$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Mikael Backlund (contrat à 1 volet) | Chicago | C/RW | 35 | 1989-03-17 | SWE | No | 210 Lbs | 6 ft0 | No | No | Free Agent | Yes | Yes | 2 | 2024-09-28 | False | False | Pro & Farm | 585,000$ | 35,100$ | 585,000$ | 35,100$ | No | 585,000$ | - | - | - | - | - | - | - | - | 585,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Nick Leddy (contrat à 1 volet) | Chicago | D | 33 | 1991-03-20 | USA | No | 210 Lbs | 6 ft0 | No | No | Free Agent | Yes | Yes | 1 | 2025-09-26 | False | False | Pro & Farm | 2,160,000$ | 129,600$ | 2,160,000$ | 129,600$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Owen Tippett | Chicago | LW/RW | 25 | 1999-02-16 | CAN | No | 210 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 54,000$ | 900,000$ | 54,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Pavel Zacha (contrat à 1 volet) | Chicago | C/LW | 27 | 1997-04-06 | CZE | No | 212 Lbs | 6 ft3 | No | No | N/A | Yes | Yes | 2 | False | False | Pro & Farm | 5,500,000$ | 330,000$ | 5,500,000$ | 330,000$ | No | 5,500,000$ | - | - | - | - | - | - | - | - | 5,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Radek Faksa (contrat à 1 volet) | Chicago | C/LW | 30 | 1994-01-09 | CZE | No | 219 Lbs | 6 ft3 | No | No | N/A | Yes | Yes | 2 | 2024-09-15 | False | False | Pro & Farm | 6,250,000$ | 375,000$ | 6,250,000$ | 375,000$ | No | 6,250,000$ | - | - | - | - | - | - | - | - | 6,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ryan O'Reilly (contrat à 1 volet) | Chicago | C/LW | 33 | 1991-01-01 | CAN | No | 217 Lbs | 6 ft0 | No | No | Free Agent | Yes | Yes | 1 | 2025-09-21 | False | False | Pro & Farm | 6,370,000$ | 382,200$ | 6,370,000$ | 382,200$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ryan Poehling (contrat à 1 volet) | Chicago | C/LW | 26 | 1998-01-03 | USA | No | 196 Lbs | 6 ft2 | No | No | Trade | 2026-01-01 | Yes | Yes | 1 | 2025-09-11 | False | False | Pro & Farm | 2,300,000$ | 138,000$ | 2,300,000$ | 138,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL |
| Ryan Pulock (contrat à 1 volet) | Chicago | D | 29 | 1994-10-06 | CAN | No | 221 Lbs | 6 ft2 | No | No | Trade | 2025-03-23 | Yes | Yes | 2 | False | False | Pro & Farm | 4,000,000$ | 240,000$ | 4,000,000$ | 240,000$ | No | 4,000,000$ | - | - | - | - | - | - | - | - | 4,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Sergei Bobrovsky (contrat à 1 volet) | Chicago | G | 36 | 1988-01-21 | RUS | No | 208 Lbs | 6 ft2 | No | No | Trade | 2025-07-22 | Yes | Yes | 2 | 2024-09-24 | False | False | Pro & Farm | 510,000$ | 30,600$ | 510,000$ | 30,600$ | No | 510,000$ | - | - | - | - | - | - | - | - | 510,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Yegor Sharangovich (contrat à 1 volet) | Chicago | C/LW/RW | 26 | 1998-06-06 | BEL | No | 198 Lbs | 6 ft2 | No | No | N/A | Yes | Yes | 3 | 2024-09-15 | False | False | Pro & Farm | 7,850,000$ | 471,000$ | 7,850,000$ | 471,000$ | No | 7,850,000$ | 7,850,000$ | - | - | - | - | - | - | - | 7,850,000$ | 7,850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 20 | 28.90 | 206 Lbs | 6 ft2 | 1.70 | 3,241,150$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 64,823,000$ | 40,095,000$ | 11,250,000$ | 0$ | 0$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Radek Faksa | Aleksander Barkov | Owen Tippett | 31 | 0 | 1 | 4 |
| 2 | Cole Caufield | Pavel Zacha | Yegor Sharangovich | 31 | 0 | 1 | 4 |
| 3 | Ryan Poehling | Ryan O'Reilly | Jesse Puljujarvi | 23 | 0 | 2 | 3 |
| 4 | Curtis Lazar | Logan Shaw | Mikael Backlund | 15 | 0 | 4 | 1 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Ryan Pulock | Brett Pesce | 35 | 0 | 3 | 2 | |
| 2 | John Marino | John Klingberg | 35 | 0 | 3 | 2 | |
| 3 | Martin Fehervary | Nick Leddy | 30 | 0 | 3 | 2 | |
| 4 | Martin Fehervary | Nick Leddy | 0 | 0 | 5 | 0 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Pavel Zacha | Aleksander Barkov | Cole Caufield | 60 | 0 | 0 | 5 |
| 2 | Ryan O'Reilly | Radek Faksa | Owen Tippett | 40 | 0 | 0 | 5 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Yegor Sharangovich | Brett Pesce | 60 | 0 | 1 | 4 | |
| 2 | Ryan Pulock | John Klingberg | 40 | 0 | 1 | 4 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ryan O'Reilly | Ryan Poehling | 55 | 1 | 4 | 0 |
| 2 | Logan Shaw | Curtis Lazar | 45 | 1 | 4 | 0 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Martin Fehervary | John Marino | 65 | 0 | 5 | 0 |
| 2 | Ryan Pulock | Brett Pesce | 35 | 0 | 5 | 0 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ryan Poehling | 60 | 0 | 5 | 0 | Martin Fehervary | John Marino | 65 | 0 | 5 | 0 |
| 2 | Ryan O'Reilly | 40 | 0 | 5 | 0 | Ryan Pulock | Brett Pesce | 35 | 0 | 5 | 0 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Aleksander Barkov | Cole Caufield | 50 | 0 | 2 | 3 |
| 2 | Pavel Zacha | Yegor Sharangovich | 50 | 0 | 2 | 3 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ryan Pulock | Brett Pesce | 50 | 0 | 3 | 2 |
| 2 | John Marino | John Klingberg | 50 | 0 | 2 | 3 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Pavel Zacha | Aleksander Barkov | Cole Caufield | Yegor Sharangovich | Brett Pesce |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ryan Poehling | Ryan O'Reilly | Mikael Backlund | Martin Fehervary | John Marino |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Aleksander Barkov, Pavel Zacha, Yegor Sharangovich | Owen Tippett, Jesse Puljujarvi | Radek Faksa |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Brett Pesce, Ryan Pulock, John Marino | Brett Pesce | John Marino, Martin Fehervary |
| Tirs de pénalité |
|---|
| Cole Caufield, Brett Pesce, Aleksander Barkov, Pavel Zacha, Owen Tippett |
| Gardien |
|---|
| #1 : Linus Ullmark, #2 : Sergei Bobrovsky |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Aleksander Barkov, Cole Caufield, Pavel Zacha, Yegor Sharangovich, Radek Faksa, Owen Tippett, Ryan O'Reilly, Jesse Puljujarvi, Curtis Lazar, Ryan Poehling |
| Lignes de défense personnalisées en prolongation |
|---|
| Brett Pesce, John Klingberg, Ryan Pulock, John Marino, Martin Fehervary |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| 1 | Anaheim | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 13 | 14 | -1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 5 | 0.500 | 13 | 23 | 36 | 0 | 0 | 5 | 2 | 6 | 2 | 149 | 55 | 48 | 43 | 8 | 166 | 52 | 27 | 93 | 10 | 3 | 30.00% | 10 | 2 | 80.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 117 | 83 | 126 | 33 | 61 | 31 |
| 2 | Boston | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 2 | 6 | 4 | 0 | 93 | 18 | 37 | 38 | 0 | 68 | 16 | 6 | 47 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 47 | 32 | 47 | 13 | 25 | 13 |
| 3 | Buffalo | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 10 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 2 | 4 | 3 | 1 | 134 | 48 | 45 | 38 | 3 | 104 | 30 | 16 | 54 | 14 | 3 | 21.43% | 7 | 3 | 57.14% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 76 | 55 | 69 | 19 | 36 | 18 |
| 4 | Colorado | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 19 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.400 | 18 | 35 | 53 | 1 | 0 | 6 | 7 | 5 | 0 | 174 | 51 | 57 | 66 | 0 | 146 | 39 | 38 | 65 | 17 | 3 | 17.65% | 18 | 5 | 72.22% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 125 | 86 | 110 | 35 | 64 | 31 |
| 5 | Columbus | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 68 | 31 | 27 | 10 | 0 | 81 | 26 | 14 | 29 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 42 | 29 | 52 | 15 | 24 | 12 |
| 6 | Dallas | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 6 | 0.750 | 15 | 28 | 43 | 0 | 0 | 5 | 7 | 3 | 0 | 121 | 39 | 39 | 43 | 0 | 139 | 53 | 42 | 57 | 6 | 3 | 50.00% | 20 | 5 | 75.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 84 | 56 | 105 | 27 | 49 | 24 |
| 7 | Detroit | 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 | 1 | 3 | 1 | 0 | 90 | 12 | 31 | 47 | 0 | 66 | 18 | 20 | 45 | 8 | 2 | 25.00% | 10 | 2 | 80.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 47 | 32 | 47 | 15 | 25 | 12 |
| 8 | Edmonton | 7 | 2 | 2 | 0 | 1 | 1 | 1 | 0 | 22 | 22 | 0 | 5 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 14 | 17 | -3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 9 | 0.643 | 22 | 39 | 61 | 0 | 0 | 10 | 7 | 3 | 3 | 300 | 116 | 91 | 83 | 13 | 240 | 60 | 52 | 97 | 27 | 6 | 22.22% | 24 | 2 | 91.67% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 177 | 125 | 163 | 50 | 87 | 44 |
| 9 | Floride | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 75 | 19 | 25 | 31 | 0 | 67 | 32 | 16 | 33 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 45 | 32 | 52 | 14 | 22 | 10 |
| 10 | Los Angeles | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 9 | 12 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 3 | 0.300 | 9 | 18 | 27 | 1 | 0 | 2 | 2 | 5 | 1 | 170 | 58 | 47 | 61 | 7 | 155 | 44 | 40 | 83 | 15 | 3 | 20.00% | 18 | 2 | 88.89% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 116 | 77 | 125 | 37 | 63 | 32 |
| 11 | Minnesota | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 6 | 0.750 | 14 | 25 | 39 | 0 | 0 | 5 | 5 | 4 | 0 | 152 | 53 | 53 | 46 | 0 | 136 | 51 | 25 | 54 | 14 | 3 | 21.43% | 8 | 0 | 100.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 98 | 70 | 90 | 28 | 51 | 25 |
| 12 | Montreal | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 10 | 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 1.000 | 21 | 39 | 60 | 0 | 1 | 9 | 5 | 7 | 0 | 187 | 50 | 59 | 78 | 0 | 125 | 30 | 16 | 60 | 19 | 4 | 21.05% | 6 | 0 | 100.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 107 | 78 | 81 | 28 | 51 | 25 |
| 13 | NYIslanders | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 13 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0.333 | 13 | 23 | 36 | 0 | 0 | 5 | 4 | 4 | 0 | 133 | 33 | 43 | 57 | 0 | 94 | 29 | 18 | 49 | 9 | 6 | 66.67% | 8 | 3 | 62.50% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 72 | 52 | 71 | 19 | 36 | 17 |
| 14 | NYRangers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 4 | 1 | 0 | 0 | 77 | 28 | 19 | 30 | 0 | 71 | 18 | 14 | 33 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 48 | 32 | 45 | 14 | 26 | 13 |
| 15 | New Jersey | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 4 | 1 | 0 | 74 | 25 | 32 | 17 | 0 | 42 | 16 | 14 | 27 | 11 | 2 | 18.18% | 6 | 1 | 83.33% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 53 | 38 | 41 | 14 | 25 | 12 |
| 16 | Philadelphie | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 3 | 1 | 72 | 28 | 17 | 26 | 4 | 92 | 30 | 18 | 32 | 5 | 2 | 40.00% | 9 | 2 | 77.78% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 47 | 32 | 53 | 14 | 24 | 12 |
| 17 | Pittsburgh | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 0.500 | 6 | 9 | 15 | 0 | 1 | 3 | 1 | 2 | 0 | 67 | 27 | 25 | 15 | 0 | 61 | 25 | 4 | 31 | 7 | 4 | 57.14% | 2 | 1 | 50.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 47 | 33 | 46 | 13 | 26 | 12 |
| 18 | San Jose | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 6 | 0.750 | 14 | 27 | 41 | 0 | 0 | 5 | 3 | 5 | 1 | 158 | 64 | 39 | 52 | 3 | 115 | 42 | 31 | 55 | 16 | 7 | 43.75% | 11 | 4 | 63.64% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 101 | 71 | 90 | 28 | 50 | 25 |
| 19 | Seattle | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 13 | 15 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 4 | 0.500 | 13 | 22 | 35 | 0 | 0 | 5 | 3 | 4 | 2 | 161 | 66 | 50 | 44 | 3 | 132 | 44 | 18 | 66 | 16 | 5 | 31.25% | 8 | 2 | 75.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 104 | 73 | 87 | 29 | 52 | 27 |
| 20 | St. Louis | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 15 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 8 | 16 | 24 | 0 | 0 | 5 | 2 | 1 | 0 | 104 | 31 | 38 | 35 | 0 | 90 | 27 | 23 | 51 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 69 | 47 | 67 | 22 | 42 | 20 |
| 21 | Tampa Bay | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 12 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 6 | 1.000 | 17 | 30 | 47 | 0 | 0 | 5 | 5 | 6 | 1 | 145 | 49 | 41 | 54 | 1 | 105 | 26 | 29 | 35 | 11 | 3 | 27.27% | 10 | 3 | 70.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 79 | 56 | 66 | 20 | 38 | 20 |
| 22 | Vancouver | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 9 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 18 | 33 | 51 | 0 | 0 | 7 | 5 | 6 | 0 | 108 | 41 | 33 | 34 | 0 | 118 | 32 | 16 | 48 | 9 | 4 | 44.44% | 8 | 1 | 87.50% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 74 | 53 | 68 | 19 | 36 | 18 |
| 23 | Washington | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 1 | 76 | 29 | 23 | 22 | 6 | 60 | 17 | 17 | 35 | 9 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 54 | 38 | 45 | 14 | 25 | 13 |
| 24 | Winnipeg | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 6 | 12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 8 | 1.000 | 18 | 30 | 48 | 0 | 1 | 6 | 6 | 6 | 0 | 141 | 50 | 49 | 42 | 0 | 127 | 46 | 22 | 59 | 11 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 97 | 69 | 90 | 28 | 52 | 25 |
| Total | 79 | 41 | 27 | 0 | 4 | 1 | 3 | 3 | 282 | 238 | 44 | 39 | 20 | 14 | 0 | 2 | 1 | 1 | 1 | 134 | 117 | 17 | 40 | 21 | 13 | 0 | 2 | 0 | 2 | 2 | 148 | 121 | 27 | 100 | 0.633 | 282 | 515 | 797 | 2 | 3 | 103 | 88 | 84 | 13 | 3029 | 1021 | 968 | 1012 | 48 | 2600 | 803 | 536 | 1238 | 259 | 67 | 25.87% | 232 | 42 | 81.90% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 1935 | 1359 | 1848 | 561 | 997 | 504 | |
| _Since Last GM Reset | 79 | 41 | 27 | 0 | 4 | 1 | 3 | 3 | 282 | 238 | 44 | 39 | 20 | 14 | 0 | 2 | 1 | 1 | 1 | 134 | 117 | 17 | 40 | 21 | 13 | 0 | 2 | 0 | 2 | 2 | 148 | 121 | 27 | 100 | 0.633 | 282 | 515 | 797 | 2 | 3 | 103 | 88 | 84 | 13 | 3029 | 1021 | 968 | 1012 | 48 | 2600 | 803 | 536 | 1238 | 259 | 67 | 25.87% | 232 | 42 | 81.90% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 1935 | 1359 | 1848 | 561 | 997 | 504 | |
| _Vs Conference | 48 | 23 | 18 | 0 | 2 | 1 | 2 | 2 | 162 | 141 | 21 | 25 | 13 | 9 | 0 | 1 | 1 | 1 | 0 | 85 | 72 | 13 | 23 | 10 | 9 | 0 | 1 | 0 | 1 | 2 | 77 | 69 | 8 | 57 | 0.594 | 162 | 296 | 458 | 2 | 1 | 61 | 49 | 48 | 9 | 1738 | 624 | 544 | 549 | 34 | 1564 | 490 | 334 | 728 | 149 | 39 | 26.17% | 144 | 25 | 82.64% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 1166 | 814 | 1126 | 341 | 612 | 307 | |
| _Vs Division | 20 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 73 | 59 | 14 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 36 | 29 | 7 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 37 | 30 | 7 | 24 | 0.600 | 73 | 134 | 207 | 1 | 1 | 27 | 27 | 19 | 0 | 692 | 224 | 236 | 232 | 0 | 638 | 216 | 150 | 286 | 56 | 11 | 19.64% | 65 | 12 | 81.54% | 0 | 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% | 474 | 329 | 465 | 142 | 259 | 128 | |
| 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 |
| 79 | 100 | W5 | 282 | 515 | 797 | 3029 | 2600 | 803 | 536 | 1238 | 2 | 3 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 79 | 41 | 27 | 4 | 1 | 3 | 3 | 282 | 238 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 39 | 20 | 14 | 2 | 1 | 1 | 1 | 134 | 117 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 40 | 21 | 13 | 2 | 0 | 2 | 2 | 148 | 121 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 8 | 2 | 0 | 0 | 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 |
|---|---|---|---|---|---|---|
| 259 | 67 | 25.87% | 232 | 42 | 81.90% | 0 |
| 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 |
|---|---|---|---|---|---|---|---|
| 1021 | 968 | 1012 | 48 | 103 | 88 | 84 | 13 |
| 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 |
| 1657 | 3200 | 51.78% | 1519 | 2896 | 52.45% | 674 | 1261 | 53.45% |
| 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 |
| 1935 | 1359 | 1848 | 561 | 997 | 504 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Capacité de l’aréna - Tendance du prix des billets - % | |||||
|---|---|---|---|---|---|
| Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
| Capacité | 8333 | 6944 | 2778 | 5556 | 1389 |
| Prix des billets | 80 | 75 | 60 | 45 | 200 |
| Assistance | 258,716 | 155,745 | 61,301 | 113,189 | 32,333 |
| Attendance PCT | 79.61% | 57.51% | 56.58% | 52.24% | 59.69% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 2 | 15930 - 63.72% | 1,516,663$ | 59,149,859$ | 25000 | 100 |
| Dépenses | ||||
|---|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
| 64,142,870$ | 64,823,000$ | 64,823,000$ | 5,100,000$0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|---|
| 324,115$ | 58,760,120$ | 0$ | 20 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 3,033,326$ | 12 | 349,615$ | 4,195,380$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 4,397,659$ | 21,826,318$ | 20,591,866$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 62,649,500$ | 2,350,500$ | 65,000,000$ | 22,649,500$ |
| Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
| Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
|---|---|---|---|---|---|---|
| Alexander Alexeyev | Chicago | 17 | 34 | |||
| Alexander Nikishin | Chicago | 19 | 94 | |||
| Alexandre Doucet* | Chicago | 21 | 140 | |||
| Calum Ritchie | Chicago | 22 | 16 | |||
| Dmitri Buchelnikov* | Chicago | 20 | 66 | |||
| Dylan James | Chicago | 21 | 82 | |||
| Elmer Soderblom* | Chicago | 20 | 59 | |||
| Justin Sourdif | Chicago | 19 | 66 | |||
| Logan Stankoven | Chicago | 20 | 18 | |||
| Lukas Cormier | Chicago | 19 | 49 | |||
| Lukas Reichel | Chicago | 19 | 18 | |||
| Luke Hughes | Chicago | 20 | 5 | |||
| Marco Kasper | Chicago | 21 | 10 | |||
| Nate Danielson | Chicago | 22 | 8 | |||
| Roni Hirvonen | Chicago | 19 | 47 | |||
| Ryan Suzuki | Chicago | 18 | 29 | 2025-01-19 | ||
| Samuel Bolduc | Chicago | 18 | 38 | |||
| Simon Edvinsson | Chicago | 20 | 6 | |||
| Thomas Milic* | Chicago | 21 | 130 | |||
| William Dufour | Chicago | 19 | 114 |
| Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 24 | | | | | | | |
| 25 | | | | | | | |
| 26 | | | | | | | |
| 27 | | | | | | | |
| 28 | | | | | | | |
| Choix au repêchage conditionnel | |||||||
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|