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Full Scoreboard »» |
| Chicago Blackhawks 20-44-4, 44pts · 16th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patrik Laine | 0 | LW/RW | 99.00 | 61 | 33 | 90 | 71 | 85 | 78 | 77 | 67 | 60 | 66 | 77 | 57 | 72 | 71 | 70 | 0 | 18 | 79 | 27 | 8,000,000$/2yrs | |||
Evander Kane | 0 | LW/RW | 99.00 | 76 | 33 | 54 | 64 | 83 | 84 | 73 | 65 | 59 | 71 | 65 | 56 | 65 | 83 | 78 | 0 | 17 | 77 | 34 | 7,500,000$/5yrs | |||
Jack Roslovic | 0 | C/RW | 100.00 | 57 | 33 | 94 | 67 | 79 | 79 | 88 | 65 | 77 | 65 | 75 | 51 | 70 | 73 | 73 | 0 | 17 | 77 | 29 | 4,000,000$/3yrs | |||
Taylor Hall | 0 | LW | 100.00 | 62 | 33 | 85 | 62 | 82 | 79 | 89 | 64 | 60 | 68 | 69 | 56 | 66 | 83 | 81 | 0 | 18 | 77 | 34 | 6,000,000$/4yrs | |||
Viktor Arvidsson | 0 | LW/RW | 100.00 | 60 | 32 | 86 | 62 | 70 | 79 | 85 | 62 | 59 | 64 | 70 | 53 | 66 | 80 | 79 | 0 | 18 | 75 | 32 | 4,500,000$/4yrs | |||
Boris Katchouk | 0 | LW | 100.00 | 66 | 40 | 80 | 59 | 81 | 68 | 86 | 62 | 42 | 61 | 60 | 66 | 60 | 66 | 64 | 0 | 18 | 72 | 27 | 850,000$/1yrs | |||
Mavrik Bourque | 0 | C/RW | 100.00 | 62 | 32 | 95 | 61 | 70 | 77 | 89 | 60 | 75 | 63 | 64 | 58 | 62 | 65 | 64 | 0 | 34 | 72 | 24 | 900,000$/1yrs | |||
Cole Guttman | 0 | C | 100.00 | 69 | 38 | 77 | 61 | 63 | 69 | 89 | 61 | 71 | 63 | 60 | 65 | 62 | 65 | 62 | 0 | 18 | 72 | 26 | 850,000$/2yrs | |||
Nathan Bastian | 0 | RW | 100.00 | 83 | 37 | 82 | 55 | 84 | 72 | 82 | 55 | 58 | 57 | 60 | 60 | 57 | 72 | 70 | 0 | 18 | 70 | 28 | 1,000,000$/1yrs | |||
Cole Reinhardt | 0 | LW | 100.00 | 79 | 39 | 81 | 56 | 77 | 70 | 74 | 53 | 60 | 58 | 56 | 53 | 54 | 68 | 66 | 0 | 17 | 68 | 26 | 800,000$/1yrs | |||
Zakhar Bardakov (R) | 0 | C/LW | 100.00 | 66 | 33 | 99 | 57 | 79 | 66 | 70 | 51 | 74 | 61 | 55 | 56 | 53 | 66 | 66 | 0 | 17 | 68 | 25 | 867,500$/1yrs | |||
MacKenzie Entwistle | 0 | C | 100.00 | 83 | 42 | 53 | 52 | 76 | 62 | 70 | 62 | 69 | 51 | 53 | 66 | 52 | 64 | 60 | 0 | 50 | 67 | 26 | 850,000$/1yrs | |||
Simon Edvinsson | 0 | D | 99.00 | 70 | 36 | 66 | 64 | 87 | 90 | 89 | 60 | 30 | 68 | 62 | 73 | 61 | 63 | 60 | 0 | 13 | 77 | 23 | 894,167$/4yrs | |||
Trevor van Riemsdyk | 0 | D | 100.00 | 54 | 33 | 86 | 58 | 78 | 83 | 89 | 60 | 30 | 64 | 53 | 74 | 57 | 83 | 82 | 0 | 18 | 75 | 34 | 3,000,000$/1yrs | |||
J.J. Moser | 0 | D | 100.00 | 64 | 32 | 83 | 61 | 70 | 88 | 84 | 59 | 30 | 65 | 57 | 71 | 58 | 68 | 66 | 0 | 16 | 75 | 25 | 3,375,000$/1yrs | |||
Zeev Buium (R) | 0 | D | 100.00 | 58 | 32 | 89 | 67 | 72 | 85 | 90 | 56 | 30 | 70 | 62 | 51 | 59 | 58 | 57 | 0 | 71 | 75 | 20 | 916,667$/3yrs | |||
Scott Mayfield | 0 | D | 100.00 | 70 | 39 | 73 | 55 | 90 | 83 | 87 | 54 | 30 | 58 | 56 | 73 | 55 | 81 | 78 | 0 | 18 | 73 | 33 | 3,800,000$/5yrs | |||
Wyatt Kaiser | 0 | D | 100.00 | 66 | 32 | 88 | 55 | 68 | 85 | 85 | 53 | 30 | 58 | 60 | 69 | 56 | 64 | 62 | 0 | 18 | 71 | 23 | 850,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Craig Smith | 0 | RW | 100.00 | 67 | 33 | 80 | 59 | 79 | 74 | 78 | 58 | 59 | 61 | 65 | 59 | 61 | 86 | 84 | 0 | 20 | 73 | 36 | 1,250,000$/1yrs | |||
Jordan Harris | 0 | D | 100.00 | 64 | 32 | 94 | 55 | 73 | 75 | 73 | 51 | 30 | 60 | 57 | 56 | 54 | 67 | 66 | 0 | 20 | 69 | 25 | 1,400,000$/2yrs | |||
Torey Krug | 0 | D | 100.00 | 66 | 32 | 85 | 69 | 72 | 93 | 77 | 68 | 30 | 30 | 30 | 30 | 63 | 83 | 81 | 0 | 19 | 61 | 34 | 6,500,000$/2yrs | |||
| TEAM AVERAGE | 99.86 | 67 | 35 | 82 | 60 | 77 | 78 | 82 | 59 | 51 | 61 | 60 | 60 | 60 | 72 | 70 | 0 | 23 | 73 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Elvis Merzlikins | 0 | 99.00 | 73 | 92 | 79 | 76 | 82 | 79 | 84 | 88 | 88 | 88 | 84 | 78 | 83 | 0 | 16 | 87 | 31 | 5,400,000$/2yrs |
Vitek Vanecek | 0 | 95.00 | 64 | 77 | 73 | 76 | 74 | 68 | 77 | 87 | 77 | 88 | 77 | 75 | 79 | 0 | 16 | 81 | 30 | 2,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
Matt Murray | 0 | 100.00 | 69 | 63 | 70 | 84 | 67 | 79 | 73 | 69 | 79 | 75 | 74 | 74 | 73 | 0 | 20 | 77 | 31 | 1,000,000$/2yrs |
| TEAM AVERAGE | 98.00 | 69 | 77 | 74 | 79 | 74 | 75 | 78 | 81 | 81 | 84 | 78 | 76 | 78 | 0 | 17 | 82 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Rick Tocchet | 89 | 84 | 83 | 82 | 76 | 79 | 61 | CAN | 61 | 4 | 1,000,000$ |
| General Manager | Yan Turgeon |
|---|
| 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 |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Patrik Laine | 0 | LW/RW | 68 | 21 | 24 | 45 | -14 | 2 | 0 | 10 | 230 | 83 | 163 | 9.13% | 11 | 22.81 | 2 | 5 | 7 | 210 | 0 | 1 | 1 | 278 | 2 | 2 | 44.85% | 136 | 0 | 0 | 0 | 0 | 0.58 | 1 | 2 | |
| 2 | Taylor Hall | 0 | LW | 68 | 14 | 20 | 34 | -5 | 12 | 0 | 54 | 150 | 50 | 111 | 9.33% | 9 | 18.83 | 2 | 8 | 10 | 197 | 0 | 0 | 0 | 129 | 3 | 2 | 40.00% | 75 | 0 | 0 | 0 | 0 | 0.53 | 0 | 1 | |
| 3 | Viktor Arvidsson | 0 | LW/RW | 68 | 14 | 19 | 33 | -6 | 8 | 0 | 45 | 139 | 37 | 130 | 10.07% | 5 | 16.90 | 4 | 4 | 8 | 197 | 0 | 0 | 0 | 17 | 2 | 1 | 42.59% | 108 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 4 | Trevor van Riemsdyk | 0 | D | 68 | 6 | 24 | 30 | -24 | 32 | 0 | 92 | 89 | 29 | 68 | 6.74% | 82 | 21.37 | 3 | 8 | 11 | 191 | 0 | 1 | 1 | 200 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 5 | Evander Kane | 0 | LW/RW | 68 | 11 | 17 | 28 | -16 | 95 | 15 | 240 | 157 | 51 | 127 | 7.01% | 13 | 22.09 | 2 | 4 | 6 | 210 | 0 | 0 | 0 | 245 | 0 | 0 | 41.91% | 661 | 0 | 0 | 1 | 0 | 0.37 | 1 | 2 | |
| 6 | Scott Mayfield | 0 | D | 63 | 8 | 16 | 24 | -7 | 91 | 15 | 169 | 75 | 22 | 45 | 10.67% | 97 | 21.60 | 2 | 2 | 4 | 150 | 0 | 0 | 0 | 157 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 7 | Cole Guttman | 0 | C | 68 | 10 | 13 | 23 | -15 | 13 | 5 | 44 | 122 | 22 | 79 | 8.20% | 5 | 11.33 | 6 | 5 | 11 | 197 | 0 | 0 | 0 | 0 | 1 | 0 | 44.96% | 932 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 8 | Jack Roslovic | 0 | C/RW | 60 | 11 | 11 | 22 | -11 | 0 | 0 | 2 | 82 | 30 | 69 | 13.41% | 5 | 15.21 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 12 | 0 | 1 | 47.14% | 1171 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 9 | J.J. Moser | 0 | D | 68 | 0 | 22 | 22 | -4 | 26 | 0 | 52 | 32 | 5 | 36 | 0.00% | 76 | 14.41 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 10 | Simon Edvinsson | 0 | D | 68 | 1 | 17 | 18 | -11 | 70 | 0 | 121 | 66 | 19 | 33 | 1.52% | 84 | 16.62 | 1 | 2 | 3 | 77 | 0 | 0 | 0 | 154 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 11 | Zakhar Bardakov | 0 | C/LW | 60 | 8 | 3 | 11 | -13 | 4 | 0 | 12 | 45 | 15 | 34 | 17.78% | 4 | 7.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 12 | Boris Katchouk | 0 | LW | 68 | 6 | 4 | 10 | -4 | 8 | 0 | 28 | 79 | 17 | 63 | 7.59% | 10 | 11.49 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 76 | 1 | 2 | 28.57% | 154 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 13 | Zeev Buium | 0 | D | 49 | 0 | 8 | 8 | -5 | 6 | 0 | 28 | 9 | 8 | 12 | 0.00% | 29 | 14.20 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 14 | Nathan Bastian | 0 | RW | 68 | 3 | 3 | 6 | -13 | 30 | 0 | 75 | 40 | 16 | 34 | 7.50% | 5 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.14% | 35 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 15 | Mavrik Bourque | 0 | C/RW | 45 | 2 | 2 | 4 | 3 | 0 | 0 | 9 | 34 | 9 | 31 | 5.88% | 3 | 8.43 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 44.80% | 250 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
| 16 | Wyatt Kaiser | 0 | D | 17 | 1 | 2 | 3 | -6 | 16 | 0 | 36 | 10 | 1 | 4 | 10.00% | 14 | 15.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 17 | MacKenzie Entwistle | 0 | C | 7 | 1 | 1 | 2 | 4 | 8 | 0 | 10 | 11 | 4 | 8 | 9.09% | 3 | 15.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.45% | 106 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 18 | Cole Reinhardt | 0 | LW | 41 | 0 | 2 | 2 | -2 | 18 | 0 | 38 | 15 | 3 | 11 | 0.00% | 1 | 10.36 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 44.00% | 25 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| 19 | Jordan Harris | 0 | D | 30 | 0 | 1 | 1 | 4 | 16 | 0 | 14 | 2 | 4 | 5 | 0.00% | 13 | 11.51 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | |
| Team Total or Average | 1052 | 117 | 209 | 326 | -145 | 455 | 35 | 1079 | 1387 | 425 | 1063 | 8.44% | 469 | 15.28 | 22 | 38 | 60 | 1515 | 1 | 2 | 3 | 1375 | 12 | 9 | 44.10% | 3680 | 0 | 0 | 1 | 0 | 0.41 | 2 | 5 |
| 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 |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Elvis Merzlikins | 41 | 7 | 32 | 1 | 0.902 | 3.46 | 2359 | 6 | 1 | 136 | 1382 | 0 | 0 | 0 | 1.000 | 2 | 40 | 27 | 5 | 2 | 1 | |
| 2 | Vitek Vanecek | 10 | 2 | 7 | 0 | 0.903 | 3.81 | 504 | 2 | 1 | 32 | 330 | 0 | 1 | 0 | 0.000 | 0 | 9 | 29 | 2 | 0 | 0 | |
| 3 | Matt Murray | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 38 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 0.000 | 0 | 0 | 3 | 0 | 0 | 0 | |
| Team Total or Average | 52 | 9 | 39 | 1 | 0.903 | 3.47 | 2902 | 8 | 2 | 168 | 1737 | 0 | 1 | 0 | 1.000 | 2 | 49 | 59 | 7 | 2 | 1 |
| Projected Total Cap Hit | 71,937,990$ |
| Projected Cap Space | 23,562,010$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 62,348,970$ |
| Players In Salary Cap | 25 |
| LTIR Players | 0 |
| Blackhawks Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Boris Katchouk | LW | 27 | 850,000$ | 850,000$ | |||||||
Cole Guttman | C | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Cole Reinhardt | LW | 26 | 800,000$ | 800,000$ | |||||||
Craig Smith | RW | 36 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Elvis Merzlikins | G | 31 | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | |||||
Evander Kane ![]() | LW/RW | 34 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
J.J. Moser ![]() | D | 25 | 3,375,000$ | 3,375,000$ | |||||||
Jack Roslovic ![]() | C/RW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jordan Harris ![]() | D | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
MacKenzie Entwistle | C | 26 | 850,000$ | 850,000$ | |||||||
Matt Murray | G | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Mavrik Bourque | C/RW | 24 | 900,000$ | 900,000$ | RFA | ||||||
Nathan Bastian | RW | 28 | 1,000,000$ | 1,000,000$ | |||||||
Patrik Laine ![]() | LW/RW | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Scott Mayfield ![]() | D | 33 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | ||
Simon Edvinsson | D | 23 | 894,167$ | 894,167$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Taylor Hall ![]() | LW | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Torey Krug ![]() | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Trevor van Riemsdyk ![]() | D | 34 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Viktor Arvidsson ![]() | LW/RW | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
| Vitek Vanecek | G | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Wyatt Kaiser | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Zakhar Bardakov | C/LW | 25 | 867,500$ | 867,500$ | RFA | ||||||
Zeev Buium | D | 20 | 916,667$ | 916,667$ | 916,667$ | 916,667$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Angus MacDonnell | C | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Anson Thornton | G | 22 | 795,556$ | 795,556$ | RFA | ||||||
| Cal Petersen | G | 31 | 850,000$ | 850,000$ | UFA | ||||||
Casey Fitzgerald | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cole O'Hara | RW | 23 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Connor Corcoran | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Connor Kurth | C/LW/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Declan Chisholm ![]() | D | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Dino Kambeitz | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Filip Roos | D | 27 | 900,000$ | 900,000$ | |||||||
Isaak Phillips | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Jacob Fowler | G | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Jake Livingstone | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jakub Galvas | D | 26 | 875,000$ | 875,000$ | |||||||
Jalen Luypen | C | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Jaxson Stauber | G | 26 | 975,000$ | 975,000$ | 975,000$ | ||||||
Jesse Puljujarvi | RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Johan Sodergran | RW | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Josh Jacobs | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Luke Toporowski | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Matt Luff ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Matthew Seminoff | RW | 22 | 850,000$ | 850,000$ | RFA | ||||||
Milton Gastrin ![]() | C/LW | 18 | 975,000$ | 9,775,000$ | 975,000$ | 975,000$ | |||||
Patrick Guay | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Riley Stillman | D | 28 | 800,000$ | 800,000$ | |||||||
Ronan Seeley | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Samuel Savoie | LW | 21 | 878,333$ | 878,333$ | RFA | ||||||
Seth Griffith ![]() | C | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Shawn Element | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tanner Dickinson | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Taylor Ward | RW | 27 | 775,000$ | 775,000$ | |||||||
Trevor Connelly | LW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA |
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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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 1 | 1 | 4 | 0 | 80 | 37 | 20 | 23 | 0 | 92 | 31 | 20 | 60 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 69 | 48 | 71 | 22 | 39 | 20 | 40.0% | 7.5% | 89.1% | 96.6 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 5 | 7 | 13 | 0 | 29 | 6 | 6 | 13 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 23 | 14 | 23 | 8 | 13 | 6 | 20.0% | 4.0% | 86.2% | 90.2 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 9 | 6 | 7 | 0 | 31 | 9 | 6 | 27 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 25 | 17 | 20 | 7 | 14 | 7 | 25.0% | 4.5% | 87.1% | 91.6 | Unlucky | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 59 | 25 | 20 | 14 | 0 | 71 | 25 | 18 | 36 | 10 | 1 | 10.00% | 7 | 1 | 85.71% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 47 | 32 | 48 | 14 | 24 | 12 | 42.9% | 6.8% | 93.0% | 99.7 | DULL | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 10 | 7 | 7 | 0 | 33 | 7 | 10 | 22 | 2 | 1 | 50.00% | 5 | 3 | 40.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 20 | 12 | 24 | 8 | 14 | 6 | 50.0% | 8.3% | 87.9% | 96.2 | Unlucky | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 34 | 11 | 13 | 10 | 0 | 43 | 14 | 6 | 28 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 20 | 13 | 28 | 7 | 11 | 6 | 66.7% | 11.8% | 95.3% | 107.1 | LUCKY | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 3 | 2 | 0 | 56 | 12 | 25 | 19 | 0 | 52 | 16 | 17 | 41 | 11 | 3 | 27.27% | 4 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 46 | 31 | 49 | 15 | 24 | 12 | 28.6% | 8.9% | 90.4% | 99.3 | Unlucky | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 3 | 9 | 12 | 0 | 41 | 13 | 10 | 26 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 22 | 14 | 24 | 7 | 12 | 6 | 50.0% | 8.3% | 92.7% | 101.0 | DULL | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 37 | 7 | 11 | 19 | 0 | 73 | 27 | 23 | 45 | 2 | 1 | 50.00% | 9 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 37 | 23 | 57 | 15 | 24 | 11 | 36.4% | 13.5% | 90.4% | 103.9 | FUN | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 37 | 13 | 13 | 11 | 0 | 65 | 27 | 27 | 40 | 8 | 1 | 12.50% | 11 | 3 | 72.73% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 44 | 28 | 51 | 14 | 24 | 11 | 25.0% | 5.4% | 90.8% | 96.2 | Unlucky | |
| 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 74 | 27 | 27 | 20 | 0 | 75 | 26 | 6 | 36 | 8 | 1 | 12.50% | 3 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 46 | 33 | 48 | 15 | 24 | 13 | 54.5% | 9.5% | 93.3% | 102.8 | LUCKY | |
| 12 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | -6 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 3 | 2 | 5 | 0 | 102 | 30 | 33 | 39 | 0 | 187 | 37 | 45 | 92 | 13 | 2 | 15.38% | 19 | 3 | 84.21% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 86 | 56 | 103 | 29 | 50 | 23 | 38.1% | 9.8% | 91.4% | 101.2 | LUCKY | |
| 13 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 1 | 2 | 4 | 2 | 93 | 29 | 31 | 32 | 3 | 105 | 42 | 26 | 67 | 8 | 0 | 0.00% | 11 | 4 | 63.64% | 1 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 68 | 46 | 78 | 22 | 37 | 18 | 80.0% | 8.6% | 94.3% | 102.9 | DULL | |
| 14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 2 | 3 | 0 | 0 | 82 | 37 | 25 | 20 | 0 | 94 | 24 | 41 | 78 | 10 | 1 | 10.00% | 12 | 3 | 75.00% | 1 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 72 | 51 | 70 | 21 | 36 | 18 | 36.4% | 6.1% | 89.4% | 95.5 | Unlucky | |
| 15 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 0 | 83 | 29 | 27 | 27 | 0 | 104 | 26 | 34 | 46 | 14 | 3 | 21.43% | 15 | 2 | 86.67% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 73 | 49 | 69 | 22 | 37 | 19 | 25.0% | 6.0% | 92.3% | 98.3 | DULL | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 0 | 3 | 1 | 0 | 50 | 16 | 20 | 14 | 0 | 46 | 12 | 12 | 35 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 47 | 33 | 47 | 14 | 25 | 12 | 66.7% | 8.0% | 97.8% | 105.8 | DULL | |
| 17 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 9 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 58 | 19 | 13 | 20 | 10 | 84 | 12 | 18 | 44 | 9 | 2 | 22.22% | 9 | 2 | 77.78% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 51 | 37 | 50 | 14 | 24 | 12 | 41.7% | 12.1% | 89.3% | 101.4 | FUN | |
| 18 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 4 | 0 | 4 | 0 | 78 | 26 | 18 | 34 | 0 | 89 | 30 | 22 | 49 | 9 | 2 | 22.22% | 11 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 66 | 43 | 76 | 20 | 37 | 18 | 46.2% | 10.3% | 92.1% | 102.4 | LUCKY | |
| 19 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 121 | 24 | 51 | 46 | 0 | 145 | 34 | 36 | 74 | 16 | 0 | 0.00% | 18 | 5 | 72.22% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 88 | 58 | 101 | 31 | 50 | 24 | 30.0% | 2.5% | 91.7% | 94.2 | DULL | |
| 20 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 2 | 1 | 60 | 20 | 22 | 17 | 1 | 73 | 16 | 18 | 40 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 44 | 30 | 50 | 15 | 27 | 13 | 44.4% | 6.7% | 89.0% | 95.7 | Unlucky | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 22 | 5 | 10 | 7 | 0 | 48 | 14 | 19 | 20 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 20 | 13 | 27 | 7 | 12 | 5 | 66.7% | 22.7% | 95.8% | 118.6 | LUCKY | |
| 22 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 46 | 10 | 10 | 26 | 0 | 64 | 15 | 22 | 56 | 6 | 1 | 16.67% | 11 | 1 | 90.91% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 48 | 32 | 47 | 14 | 24 | 12 | 37.5% | 8.7% | 90.6% | 99.3 | Unlucky | |
| 23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 54 | 12 | 23 | 19 | 0 | 81 | 14 | 16 | 47 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 42 | 28 | 52 | 15 | 24 | 11 | 22.2% | 5.6% | 90.1% | 95.7 | Unlucky | |
| 24 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 75 | 30 | 24 | 21 | 0 | 107 | 30 | 25 | 60 | 13 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 68 | 46 | 74 | 21 | 37 | 19 | 30.8% | 5.3% | 88.8% | 94.1 | Unlucky | |
| 25 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 60 | 25 | 14 | 21 | 0 | 107 | 24 | 37 | 65 | 7 | 1 | 14.29% | 15 | 4 | 73.33% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 60 | 38 | 79 | 23 | 39 | 19 | 37.5% | 6.7% | 91.6% | 98.3 | DULL | |
| 26 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 3 | 0.500 | 11 | 19 | 30 | 0 | 0 | 7 | 2 | 2 | 0 | 113 | 32 | 48 | 33 | 0 | 96 | 39 | 18 | 78 | 12 | 1 | 8.33% | 7 | 3 | 57.14% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 75 | 52 | 69 | 20 | 36 | 18 | 55.6% | 9.7% | 88.5% | 98.3 | FUN | |
| 27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 35 | 9 | 14 | 12 | 0 | 85 | 20 | 27 | 43 | 2 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 40 | 26 | 53 | 14 | 25 | 10 | 33.3% | 11.4% | 89.4% | 100.8 | FUN | |
| 28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 48 | 11 | 21 | 16 | 0 | 69 | 16 | 16 | 52 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 44 | 30 | 50 | 14 | 24 | 11 | 53.3% | 18.8% | 88.4% | 107.2 | FUN | |
| 29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 10 | 7 | 4 | 0 | 46 | 8 | 12 | 16 | 2 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 18 | 12 | 29 | 7 | 12 | 5 | 75.0% | 14.3% | 91.3% | 105.6 | LUCKY | |
| 30 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.667 | 7 | 13 | 20 | 0 | 1 | 1 | 3 | 3 | 0 | 74 | 20 | 29 | 25 | 0 | 93 | 19 | 18 | 69 | 14 | 1 | 7.14% | 9 | 3 | 66.67% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 64 | 42 | 79 | 23 | 36 | 17 | 75.0% | 9.5% | 94.6% | 104.1 | LUCKY | |
| 31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 56 | 16 | 19 | 21 | 0 | 68 | 20 | 20 | 31 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 49 | 35 | 47 | 13 | 22 | 11 | 40.0% | 7.1% | 89.7% | 96.8 | Unlucky | |
| _Vs Division | 22 | 5 | 16 | 0 | 0 | 1 | 0 | 0 | 46 | 71 | -25 | 11 | 0.250 | 46 | 84 | 130 | 0 | 0 | 20 | 10 | 16 | 0 | 628 | 183 | 226 | 219 | 0 | 780 | 212 | 197 | 440 | 88 | 11 | 12.50% | 83 | 16 | 80.72% | 0 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 504 | 338 | 542 | 161 | 273 | 137 | 38.9% | 7.3% | 90.9% | 98.2 | Unlucky | |
| _Vs Conference | 42 | 10 | 28 | 0 | 0 | 2 | 1 | 1 | 90 | 131 | -41 | 25 | 0.298 | 90 | 165 | 255 | 0 | 1 | 29 | 27 | 33 | 2 | 1152 | 376 | 384 | 385 | 13 | 1469 | 392 | 389 | 870 | 155 | 16 | 10.32% | 158 | 37 | 76.58% | 2 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 960 | 650 | 1048 | 310 | 522 | 261 | 44.0% | 7.8% | 91.1% | 98.9 | Unlucky | |
| _Since Last GM Reset | 68 | 18 | 44 | 0 | 1 | 3 | 1 | 1 | 151 | 213 | -62 | 44 | 0.324 | 151 | 281 | 432 | 0 | 2 | 47 | 46 | 56 | 3 | 1803 | 569 | 617 | 609 | 14 | 2396 | 653 | 631 | 1436 | 240 | 29 | 12.08% | 263 | 54 | 79.47% | 2 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 1535 | 1035 | 1705 | 505 | 852 | 421 | 43.4% | 8.4% | 91.1% | 99.5 | Unlucky | |
| Total | 68 | 18 | 44 | 0 | 1 | 3 | 1 | 1 | 151 | 213 | -62 | 44 | 0.324 | 151 | 281 | 432 | 0 | 2 | 47 | 46 | 56 | 3 | 1803 | 569 | 617 | 609 | 14 | 2396 | 653 | 631 | 1436 | 240 | 29 | 12.08% | 263 | 54 | 79.47% | 2 | 1078 | 2224 | 48.47% | 1218 | 2591 | 47.01% | 446 | 971 | 45.93% | 1535 | 1035 | 1705 | 505 | 852 | 421 | 43.4% | 8.4% | 91.1% | 99.5 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2224 |
| Neutral Zone Start | 971 |
| Defensive Zone Start | 2591 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2742 |
| Faceoffs Lost | 3044 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.4 | 9.57 |
| 2nd Period | 17.4 | 20.31 |
| 3rd Period | 26.4 | 30.68 |
| Overtime | 26.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.4 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.2 | 2.83 |
| Even Strenght Goal | 120 |
|---|---|
| PP Goal | 29 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 10 |
| Lost | 21 | 23 |
| Overtime Lost | 3 | 1 |
| PP Attempt | 240 |
|---|---|
| PP Goal | 29 |
| PK Attempt | 263 |
| PK Goal Against | 54 |
| Home | |
|---|---|
| Shots For | 26.5 |
| Shots Against | 35.2 |
| Goals For | 2.2 |
| Goals Against | 3.1 |
| Hits | 21.1 |
| Shots Blocked | 9.6 |
| Pim | 9.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Blackhawks2,Panthers3 | RECAP | |||||||||||
| 2025-10-10 | @ | Blackhawks1,Bruins6 | RECAP | |||||||||||
| 2025-10-12 | @ | Canadiens3,Blackhawks2 | RECAP | |||||||||||
| 2025-10-14 | @ | Mammoth5,Blackhawks1 | RECAP | |||||||||||
| 2025-10-16 | @ | Blackhawks4,Blues3 | RECAP | |||||||||||
| 2025-10-18 | @ | Canucks1,Blackhawks3 | RECAP | |||||||||||
| 2025-10-20 | @ | Ducks2,Blackhawks1 | RECAP | |||||||||||
| 2025-10-24 | @ | Blackhawks1,Lightning0 | RECAP | |||||||||||
| 2025-10-27 | @ | Kings2,Blackhawks3 | RECAP | |||||||||||
| 2025-10-29 | @ | Senators1,Blackhawks3 | RECAP | |||||||||||
| 2025-10-31 | @ | Blackhawks2,Jets3 | RECAP | |||||||||||
| 2025-11-02 | @ | Blackhawks4,Oilers5 (SO) | RECAP | |||||||||||
| 2025-11-04 | @ | Blackhawks1,Kraken3 | RECAP | |||||||||||
| 2025-11-06 | @ | Blackhawks2,Canucks3 | RECAP | |||||||||||
| 2025-11-08 | @ | Blackhawks2,Flames4 | RECAP | |||||||||||
| 2025-11-10 | @ | Blackhawks1,Red Wings5 | RECAP | |||||||||||
| 2025-11-13 | @ | Devils4,Blackhawks1 | RECAP | |||||||||||
| 2025-11-16 | @ | Maple Leafs4,Blackhawks1 | RECAP | |||||||||||
| 2025-11-19 | @ | Flames2,Blackhawks4 | RECAP | |||||||||||
| 2025-11-21 | @ | Kraken4,Blackhawks3 | RECAP | |||||||||||
| 2025-11-22 | @ | Blackhawks5,Sabres2 | RECAP | |||||||||||
| 2025-11-24 | @ | Avalanche2,Blackhawks4 | RECAP | |||||||||||
| 2025-11-27 | @ | Wild3,Blackhawks1 | RECAP | |||||||||||
| 2025-11-29 | @ | Predators4,Blackhawks3 | RECAP | |||||||||||
| 2025-12-01 | @ | Ducks4,Blackhawks3 | RECAP | |||||||||||
| 2025-12-03 | @ | Blackhawks1,Golden Knights4 | RECAP | |||||||||||
| 2025-12-05 | @ | Blackhawks0,Kings2 | RECAP | |||||||||||
| 2025-12-07 | @ | Blackhawks2,Kings6 | RECAP | |||||||||||
| 2025-12-08 | @ | Blackhawks0,Ducks3 | RECAP | |||||||||||
| 2025-12-11 | @ | Rangers3,Blackhawks2 | RECAP | |||||||||||
| 2025-12-13 | @ | Blackhawks2,Blues1 | RECAP | |||||||||||
| 2025-12-14 | @ | Red Wings2,Blackhawks4 | RECAP | |||||||||||
| 2025-12-17 | @ | Blackhawks3,Maple Leafs5 | RECAP | |||||||||||
| 2025-12-19 | @ | Blackhawks0,Canadiens3 | RECAP | |||||||||||
| 2025-12-21 | @ | Blackhawks1,Senators4 | RECAP | |||||||||||
| 2025-12-24 | @ | Flyers4,Blackhawks1 | RECAP | |||||||||||
| 2025-12-28 | @ | Blackhawks5,Stars3 | RECAP | |||||||||||
| 2025-12-29 | @ | Penguins7,Blackhawks6 | RECAP | |||||||||||
| 2025-12-31 | @ | Islanders4,Blackhawks2 | RECAP | |||||||||||
| 2026-01-02 | @ | Stars4,Blackhawks3 (OT) | RECAP | |||||||||||
| 2026-01-04 | @ | Blackhawks4,Capitals1 | RECAP | |||||||||||
| 2026-01-05 | @ | Golden Knights0,Blackhawks3 | RECAP | |||||||||||
| 2026-01-08 | @ | Blues3,Blackhawks2 | RECAP | |||||||||||
| 2026-01-10 | @ | Capitals4,Blackhawks3 | RECAP | |||||||||||
| 2026-01-11 | @ | Blackhawks1,Predators2 | RECAP | |||||||||||
| 2026-01-13 | @ | Oilers4,Blackhawks3 (OT) | RECAP | |||||||||||
| 2026-01-16 | @ | Flames4,Blackhawks0 | RECAP | |||||||||||
| 2026-01-18 | @ | Bruins2,Blackhawks3 (OT) | RECAP | |||||||||||
| 2026-01-20 | @ | Jets5,Blackhawks1 | RECAP | |||||||||||
| 2026-01-23 | @ | Blackhawks4,Hurricanes2 | RECAP | |||||||||||
| 2026-01-24 | @ | Lightning1,Blackhawks3 | RECAP | |||||||||||
| 2026-01-26 | @ | Panthers3,Blackhawks2 (OT) | RECAP | |||||||||||
| 2026-01-28 | @ | Blackhawks6,Wild5 | RECAP | |||||||||||
| 2026-01-30 | @ | Blackhawks3,Penguins1 | RECAP | |||||||||||
| 2026-01-31 | @ | Blue Jackets5,Blackhawks2 | RECAP | |||||||||||
| 2026-02-03 | @ | Sharks4,Blackhawks3 | RECAP | |||||||||||
| 2026-02-05 | @ | Blackhawks1,Blue Jackets3 | RECAP | |||||||||||
| 2026-02-27 | @ | Blackhawks1,Predators2 | RECAP | |||||||||||
| 2026-03-01 | @ | Blackhawks1,Avalanche3 | RECAP | |||||||||||
| 2026-03-02 | @ | Blackhawks0,Mammoth1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 66,603,334$ | 0$ | 71,937,990$ | 28,896,666$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | United Center | |
| City | Chicago | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 186135 | 156141 | 63767 | 127209 | 31197 |
| Attendance PCT | 91.24% | 91.85% | 93.78% | 93.54% | 91.76% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 7 | 16601 - 92.23% | 1,515,396$ | 51,523,460$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 66,603,334$ | 66,603,334$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 63,920,303$ | 342,465$ | 62,348,970$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 10,607,771$ | 28 | 352,101$ | 9,858,828$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 10,094,892$ | 66,603,334$ | 69,209,748$ | 69,722,627$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 2030 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
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| 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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Aidan Thompson | 2022 | 105 | |||
| Alexis Bernier | 2024 | 88 | |||
| Bard Gardiner | 2023 | 99 | |||
| Benjamin Kevan | 2025 | 47 | |||
| Bruno Idzan | 2025 | 205 | |||
| Carter Amico | 2025 | 51 | |||
| Cedric Guindon | 2022 | 107 | |||
| Charlie Leddy | 2022 | 146 | |||
| Cole Reschny | 2025 | 17 | |||
| Cole Spicer | 2022 | 120 | |||
| Hampton Slukynsky | 2023 | 94 | |||
| Jake Ryczek | |||||
| Juha Jatkola | 2023 | 95 | |||
| Maceo Phillips | 2025 | 113 | |||
| Mats Lindgren | 2022 | 41 | |||
| Matthew Perkins | 2023 | 137 | |||
| Nathaniel Day | 2023 | 190 | |||
| Nikita Ishimnikov | 2023 | 172 | |||
| Owen Martin | 2025 | 89 | |||
| Riku Tohila | 2022 | 216 | |||
| Stepan Hoch | 2025 | 109 | |||
| Theodor Hallquisth | 2025 | 75 | |||
| Tommy Lafreniere | 2025 | 115 | |||
| Zach Nehring | 2023 | 103 |
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