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Full Scoreboard »» |
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Full Scoreboard »» |
| Chicago Blackhawks 3-5-0, 6pts · 13th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Evander Kane | 0 | LW/RW | 100.00 | 91 | 43 | 63 | 68 | 83 | 84 | 77 | 69 | 61 | 66 | 75 | 59 | 72 | 82 | 78 | 0 | 39 | 80 | 34 | 7,500,000$/5yrs | |||
Patrik Laine | 0 | LW/RW | 100.00 | 60 | 33 | 90 | 71 | 85 | 80 | 76 | 68 | 60 | 65 | 79 | 59 | 73 | 70 | 69 | 0 | 39 | 79 | 27 | 8,000,000$/2yrs | |||
Zakhar Bardakov (R) | 0 | C/LW | 100.00 | 71 | 40 | 80 | 68 | 83 | 76 | 84 | 67 | 66 | 66 | 71 | 71 | 69 | 65 | 63 | 0 | 36 | 78 | 24 | 867,500$/1yrs | |||
Erik Haula | 0 | C/LW/RW | 100.00 | 72 | 34 | 78 | 64 | 73 | 82 | 88 | 63 | 84 | 63 | 67 | 74 | 65 | 83 | 80 | 0 | 39 | 77 | 34 | 3,150,000$/1yrs | |||
Taylor Hall | 0 | LW | 100.00 | 62 | 33 | 84 | 63 | 82 | 81 | 79 | 64 | 61 | 68 | 70 | 57 | 67 | 81 | 80 | 0 | 39 | 77 | 33 | 6,000,000$/4yrs | |||
Jack Roslovic | 0 | C/RW | 100.00 | 58 | 33 | 93 | 67 | 79 | 80 | 87 | 65 | 76 | 67 | 69 | 57 | 67 | 72 | 71 | 0 | 32 | 76 | 28 | 4,000,000$/3yrs | |||
Viktor Arvidsson | 0 | LW/RW | 100.00 | 61 | 32 | 84 | 65 | 70 | 82 | 78 | 64 | 59 | 66 | 71 | 56 | 68 | 79 | 77 | 0 | 39 | 76 | 32 | 4,500,000$/4yrs | |||
Sam Carrick | 0 | C/RW | 100.00 | 79 | 55 | 65 | 55 | 77 | 76 | 89 | 58 | 82 | 60 | 61 | 72 | 59 | 81 | 77 | 0 | 42 | 73 | 33 | 1,300,000$/2yrs | |||
Joe Veleno | 0 | C/RW | 100.00 | 75 | 36 | 90 | 61 | 80 | 77 | 89 | 60 | 78 | 62 | 63 | 64 | 62 | 67 | 66 | 0 | 39 | 73 | 25 | 1,000,000$/1yrs | |||
Cole Guttman | 0 | C | 100.00 | 60 | 41 | 90 | 64 | 63 | 77 | 69 | 61 | 76 | 61 | 64 | 63 | 63 | 68 | 67 | 0 | 39 | 73 | 26 | 850,000$/2yrs | |||
Boris Katchouk | 0 | LW | 100.00 | 73 | 33 | 92 | 61 | 82 | 75 | 74 | 58 | 60 | 58 | 62 | 66 | 60 | 70 | 69 | 0 | 39 | 72 | 27 | 850,000$/1yrs | |||
Nathan Bastian | 0 | RW | 100.00 | 84 | 40 | 81 | 55 | 84 | 73 | 83 | 58 | 60 | 59 | 59 | 63 | 58 | 70 | 69 | 0 | 39 | 71 | 27 | 1,000,000$/1yrs | |||
Adam Pelech | 0 | D | 100.00 | 70 | 36 | 83 | 63 | 84 | 90 | 83 | 64 | 30 | 68 | 52 | 78 | 58 | 77 | 75 | 0 | 39 | 79 | 31 | 5,750,000$/4yrs | |||
Josh Manson | 0 | D | 100.00 | 85 | 44 | 68 | 58 | 87 | 86 | 84 | 61 | 30 | 66 | 59 | 76 | 60 | 82 | 79 | 0 | 39 | 78 | 34 | 4,800,000$/2yrs | |||
John Marino | 0 | D | 100.00 | 60 | 34 | 86 | 63 | 72 | 91 | 82 | 64 | 30 | 69 | 56 | 75 | 60 | 72 | 70 | 0 | 39 | 78 | 28 | 4,400,000$/3yrs | |||
Trevor van Riemsdyk | 0 | D | 100.00 | 56 | 33 | 88 | 58 | 78 | 86 | 89 | 62 | 30 | 65 | 52 | 74 | 57 | 82 | 81 | 0 | 39 | 76 | 34 | 3,000,000$/1yrs | |||
J.J. Moser | 0 | D | 100.00 | 68 | 34 | 85 | 62 | 70 | 89 | 86 | 61 | 30 | 66 | 57 | 72 | 59 | 66 | 65 | 0 | 39 | 76 | 25 | 3,375,000$/1yrs | |||
Isaak Phillips | 0 | D | 100.00 | 75 | 33 | 79 | 58 | 83 | 84 | 71 | 57 | 30 | 62 | 54 | 69 | 56 | 64 | 62 | 0 | 39 | 73 | 24 | 850,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Craig Smith | 0 | RW | 100.00 | 65 | 35 | 83 | 57 | 79 | 73 | 86 | 58 | 58 | 60 | 64 | 58 | 61 | 85 | 83 | 0 | 32 | 72 | 36 | 1,250,000$/1yrs | |||
Torey Krug | 0 | D | 100.00 | 66 | 32 | 85 | 69 | 72 | 93 | 77 | 68 | 30 | 30 | 30 | 30 | 63 | 83 | 81 | 0 | 33 | 61 | 34 | 6,500,000$/2yrs | |||
| TEAM AVERAGE | 100.00 | 70 | 37 | 82 | 63 | 78 | 82 | 82 | 63 | 55 | 62 | 62 | 65 | 63 | 75 | 73 | 0 | 38 | 75 | |||||||
| 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 | 98.00 | 80 | 93 | 80 | 76 | 84 | 77 | 86 | 91 | 88 | 90 | 86 | 77 | 82 | 0 | 40 | 88 | 31 | 5,400,000$/2yrs |
Dustin Wolf | 32 | 100.00 | 77 | 85 | 76 | 64 | 85 | 79 | 86 | 90 | 86 | 90 | 86 | 66 | 70 | 0 | 41 | 85 | 24 | 2,300,000$/2yrs |
| Scratches | ||||||||||||||||||||
Matt Murray | 0 | 100.00 | 60 | 60 | 65 | 85 | 68 | 60 | 60 | 60 | 60 | 69 | 60 | 75 | 78 | 0 | 36 | 70 | 31 | 1,000,000$/2yrs |
| TEAM AVERAGE | 99.33 | 72 | 79 | 74 | 75 | 79 | 72 | 77 | 80 | 78 | 83 | 77 | 73 | 77 | 0 | 39 | 81 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Rick Tocchet | 89 | 84 | 83 | 82 | 76 | 79 | 61 | CAN | 61 | 4 | 1,000,000$ |
| 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 | J.J. Moser | 0 | D | 8 | 0 | 5 | 5 | 6 | 2 | 0 | 6 | 5 | 0 | 6 | 0.00% | 8 | 13.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | |
| 2 | Evander Kane | 0 | LW/RW | 8 | 2 | 2 | 4 | -1 | 8 | 0 | 26 | 28 | 10 | 17 | 7.14% | 1 | 22.17 | 1 | 1 | 2 | 16 | 0 | 0 | 0 | 30 | 0 | 0 | 37.80% | 82 | 0 | 0 | 1 | 0 | 0.45 | 0 | 0 | |
| 3 | Sam Carrick | 0 | C/RW | 8 | 2 | 2 | 4 | 0 | 2 | 0 | 11 | 13 | 3 | 9 | 15.38% | 0 | 10.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | |
| 4 | Patrik Laine | 0 | LW/RW | 8 | 0 | 4 | 4 | -1 | 0 | 0 | 0 | 21 | 6 | 15 | 0.00% | 1 | 22.63 | 0 | 2 | 2 | 16 | 0 | 0 | 0 | 34 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 5 | Viktor Arvidsson | 0 | LW/RW | 8 | 2 | 2 | 4 | -1 | 2 | 0 | 11 | 16 | 5 | 13 | 12.50% | 0 | 16.31 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 1 | 1 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 6 | Joe Veleno | 0 | C/RW | 8 | 1 | 3 | 4 | 0 | 2 | 0 | 6 | 10 | 1 | 9 | 10.00% | 1 | 10.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.38% | 105 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |
| 7 | Boris Katchouk | 0 | LW | 8 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 11 | 3 | 6 | 9.09% | 2 | 11.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 1 | 41.18% | 17 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 8 | Erik Haula | 0 | C/LW/RW | 8 | 1 | 1 | 2 | -1 | 4 | 0 | 6 | 13 | 4 | 12 | 7.69% | 2 | 20.53 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 17 | 1 | 0 | 49.57% | 234 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 9 | Taylor Hall | 0 | LW | 8 | 0 | 2 | 2 | -1 | 2 | 0 | 9 | 22 | 7 | 11 | 0.00% | 2 | 18.91 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 16 | 0 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 10 | Trevor van Riemsdyk | 0 | D | 8 | 1 | 1 | 2 | -5 | 2 | 0 | 11 | 9 | 5 | 9 | 11.11% | 6 | 21.45 | 1 | 1 | 2 | 15 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 11 | Cole Guttman | 0 | C | 8 | 1 | 1 | 2 | -1 | 4 | 0 | 10 | 13 | 3 | 11 | 7.69% | 1 | 16.31 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 42.51% | 167 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 12 | Adam Pelech | 0 | D | 8 | 0 | 1 | 1 | -4 | 6 | 0 | 6 | 11 | 5 | 11 | 0.00% | 15 | 24.57 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
| 13 | Josh Manson | 0 | D | 8 | 1 | 0 | 1 | -4 | 17 | 5 | 29 | 11 | 5 | 7 | 9.09% | 12 | 24.04 | 1 | 0 | 1 | 17 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
| 14 | John Marino | 0 | D | 8 | 0 | 1 | 1 | -5 | 6 | 0 | 16 | 3 | 0 | 6 | 0.00% | 6 | 21.27 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 15 | Isaak Phillips | 0 | D | 8 | 1 | 0 | 1 | 6 | 14 | 0 | 14 | 4 | 1 | 0 | 25.00% | 9 | 14.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 16 | Nathan Bastian | 0 | RW | 8 | 0 | 0 | 0 | -1 | 2 | 0 | 6 | 3 | 2 | 3 | 0.00% | 0 | 7.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 128 | 13 | 26 | 39 | -13 | 73 | 5 | 169 | 193 | 60 | 145 | 6.74% | 66 | 17.26 | 3 | 6 | 9 | 165 | 0 | 0 | 0 | 221 | 3 | 2 | 46.47% | 637 | 0 | 0 | 1 | 0 | 0.35 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | 7 | 2 | 5 | 0 | 0.924 | 2.87 | 418 | 0 | 1 | 20 | 263 | 0 | 0 | 0 | 0.000 | 0 | 7 | 1 | 2 | 0 | 1 | |
| 2 | Dustin Wolf | 1 | 1 | 0 | 0 | 0.919 | 3.00 | 60 | 0 | 0 | 3 | 37 | 0 | 0 | 0 | 0.000 | 0 | 1 | 7 | 0 | 0 | 0 | |
| Team Total or Average | 8 | 3 | 5 | 0 | 0.923 | 2.89 | 478 | 0 | 1 | 23 | 300 | 0 | 0 | 0 | 0.000 | 0 | 8 | 8 | 2 | 0 | 1 |
| Projected Total Cap Hit | 76,222,862$ |
| Projected Cap Space | 19,277,138$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 6,992,090$ |
| Players In Salary Cap | 24 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Boris Katchouk | LW | 27 | 850,000$ | 850,000$ | |||||||
Cole Guttman | C | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Craig Smith | RW | 36 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Dustin Wolf ![]() | G | 24 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
| Elvis Merzlikins | G | 31 | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | |||||
Erik Haula ![]() | C/LW/RW | 34 | 3,150,000$ | 3,150,000$ | 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 | ||
Isaak Phillips | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
J.J. Moser ![]() | D | 25 | 3,375,000$ | 3,375,000$ | |||||||
Jack Roslovic ![]() | C/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Joe Veleno | C/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
John Marino ![]() | D | 28 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||||
Josh Manson ![]() | D | 34 | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||||
Matt Murray | G | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Nathan Bastian | RW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Patrik Laine ![]() | LW/RW | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Sam Carrick ![]() | C/RW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Taylor Hall ![]() | LW | 33 | 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 | |||
Zakhar Bardakov | C/LW | 24 | 867,500$ | 867,500$ | 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 | ||||||
Bradly Nadeau | LW | 20 | 975,000$ | 975,000$ | RFA | ||||||
Brady Martin | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Cal Petersen | G | 31 | 850,000$ | 850,000$ | UFA | ||||||
Casey Fitzgerald | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cole O'Hara | RW | 23 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Cole Reinhardt | LW | 25 | 800,000$ | 800,000$ | |||||||
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 | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Dino Kambeitz | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Filip Roos | D | 26 | 900,000$ | 900,000$ | |||||||
Jacob Fowler | G | 20 | 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 | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Josh Jacobs | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Louis Crevier | D | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Luke Toporowski | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
MacKenzie Entwistle | C | 26 | 850,000$ | 850,000$ | |||||||
Matt Luff ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Matthew Seminoff | RW | 21 | 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 | 27 | 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 | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Shawn Element | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tanner Dickinson | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Taylor Ward | RW | 27 | 775,000$ | 775,000$ | |||||||
Trevor Connelly | LW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Wyatt Kaiser | D | 23 | 850,000$ | 850,000$ | 850,000$ | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 20 | 8 | 8 | 4 | 0 | 41 | 15 | 15 | 26 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 19 | 12 | 29 | 7 | 11 | 5 | 50.0% | 10.0% | 92.7% | 102.7 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 37 | 12 | 17 | 8 | 0 | 37 | 13 | 6 | 20 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 24 | 16 | 23 | 6 | 12 | 6 | 100.0% | 8.1% | 97.3% | 105.4 | DULL | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 22 | 9 | 6 | 7 | 0 | 25 | 5 | 6 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 22 | 16 | 24 | 8 | 12 | 5 | 100.0% | 4.5% | 100.0% | 104.5 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 3 | 0 | 26 | 5 | 8 | 13 | 0 | 37 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 18 | 11 | 28 | 7 | 12 | 5 | 57.1% | 15.4% | 91.9% | 107.3 | LUCKY | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 7 | 4 | 10 | 0 | 43 | 6 | 10 | 24 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 20 | 13 | 27 | 7 | 12 | 5 | 25.0% | 4.8% | 88.4% | 93.1 | Unlucky | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 12 | 15 | 5 | 0 | 43 | 9 | 8 | 22 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 21 | 14 | 25 | 7 | 13 | 6 | 20.0% | 3.1% | 86.0% | 89.2 | Unlucky | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 6 | 7 | 15 | 0 | 41 | 7 | 14 | 30 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 24 | 15 | 23 | 7 | 12 | 6 | 25.0% | 7.1% | 92.7% | 99.8 | DULL | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 10 | 5 | 7 | 0 | 33 | 2 | 10 | 16 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 21 | 14 | 25 | 7 | 12 | 6 | 0.0% | 4.5% | 93.9% | 98.5 | DULL | |
| _Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 47 | 12 | 12 | 23 | 0 | 80 | 18 | 16 | 47 | 3 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 39 | 24 | 56 | 14 | 24 | 11 | 45.5% | 10.6% | 90.0% | 100.6 | FUN | |
| _Vs Conference | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 106 | 34 | 34 | 38 | 0 | 150 | 33 | 32 | 83 | 8 | 1 | 12.50% | 15 | 4 | 73.33% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 84 | 55 | 105 | 29 | 49 | 24 | 53.3% | 8.5% | 92.7% | 101.2 | DULL | |
| _Since Last GM Reset | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 15 | 23 | -8 | 6 | 0.375 | 15 | 28 | 43 | 0 | 1 | 4 | 4 | 7 | 0 | 208 | 69 | 70 | 69 | 0 | 300 | 69 | 75 | 178 | 19 | 3 | 15.79% | 33 | 8 | 75.76% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 172 | 114 | 207 | 59 | 99 | 48 | 44.4% | 7.2% | 92.3% | 99.5 | DULL | |
| Total | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 15 | 23 | -8 | 6 | 0.375 | 15 | 28 | 43 | 0 | 1 | 4 | 4 | 7 | 0 | 208 | 69 | 70 | 69 | 0 | 300 | 69 | 75 | 178 | 19 | 3 | 15.79% | 33 | 8 | 75.76% | 0 | 120 | 276 | 43.48% | 159 | 333 | 47.75% | 51 | 116 | 43.97% | 172 | 114 | 207 | 59 | 99 | 48 | 44.4% | 7.2% | 92.3% | 99.5 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 276 |
| Neutral Zone Start | 116 |
| Defensive Zone Start | 333 |
| Puck Time | |
|---|---|
| With Puck | 27 |
| Without Puck | 32 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 330 |
| Faceoffs Lost | 395 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.6 | 9.57 |
| 2nd Period | 17.4 | 20.31 |
| 3rd Period | 26.0 | 30.68 |
| Overtime | 26.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 1.9 | 2.83 |
| Even Strenght Goal | 12 |
|---|---|
| PP Goal | 3 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 2 |
| Lost | 3 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 19 |
|---|---|
| PP Goal | 3 |
| PK Attempt | 33 |
| PK Goal Against | 8 |
| Home | |
|---|---|
| Shots For | 26.0 |
| Shots Against | 37.5 |
| Goals For | 1.9 |
| Goals Against | 2.9 |
| Hits | 22.3 |
| Shots Blocked | 8.6 |
| Pim | 9.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 77,242,500$ | 0$ | 76,222,862$ | 18,257,500$ |
| 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 | 22062 | 18983 | 7549 | 14516 | 3651 |
| Attendance PCT | 91.93% | 94.92% | 94.36% | 90.73% | 91.28% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 37 | 16690 - 92.72% | 1,528,311$ | 6,113,243$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 77,242,500$ | 77,242,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 7,165,522$ | 397,878$ | 6,992,090$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 56,547,498$ | 174 | 407,513$ | 70,907,262$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 73,697,874$ | 77,242,500$ | 82,807,018$ | 65,656,642$ |
Rookie
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Cold Streak
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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. |
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| 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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