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Full Scoreboard »» |
| Detroit Red Wings 13-19-3, 29pts · 14th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dylan Larkin (C) | 71 | C/LW | 96.00 | 59 | 33 | 81 | 80 | 78 | 89 | 90 | 79 | 93 | 78 | 85 | 66 | 82 | 75 | 84 | 0 | 35 | 88 | 29 | 8,500,000$/5yrs | |||
Lucas Raymond | 0 | LW/RW | 99.00 | 64 | 32 | 89 | 80 | 68 | 86 | 90 | 77 | 58 | 80 | 78 | 59 | 77 | 64 | 63 | 0 | 33 | 85 | 23 | 7,000,000$/3yrs | |||
Dylan Guenther | 0 | LW/RW | 99.00 | 65 | 32 | 88 | 79 | 71 | 84 | 83 | 74 | 58 | 74 | 80 | 63 | 77 | 62 | 61 | 0 | 35 | 83 | 22 | 7,100,000$/8yrs | |||
Trevor Zegras | 0 | C/LW/RW | 100.00 | 61 | 32 | 59 | 77 | 72 | 85 | 90 | 73 | 63 | 83 | 70 | 54 | 71 | 66 | 62 | 0 | 30 | 82 | 24 | 5,750,000$/1yrs | |||
Dylan Cozens | 0 | C/LW | 100.00 | 90 | 33 | 86 | 68 | 79 | 84 | 90 | 67 | 83 | 63 | 78 | 57 | 72 | 66 | 65 | 0 | 32 | 79 | 24 | 6,250,000$/5yrs | |||
Beckett Sennecke (R) | 0 | LW/RW | 100.00 | 66 | 32 | 83 | 70 | 72 | 82 | 90 | 65 | 66 | 65 | 76 | 54 | 71 | 57 | 56 | 0 | 49 | 77 | 19 | 942,500$/3yrs | |||
Logan Stankoven | 0 | C | 100.00 | 64 | 31 | 92 | 70 | 62 | 81 | 81 | 66 | 61 | 69 | 68 | 56 | 67 | 62 | 61 | 0 | 33 | 76 | 22 | 814,167$/9yrs | |||
Jackson Blake (R) | 0 | C/RW | 100.00 | 56 | 31 | 74 | 69 | 59 | 81 | 90 | 65 | 55 | 72 | 68 | 51 | 67 | 62 | 59 | 0 | 35 | 75 | 22 | 905,833$/9yrs | |||
Ty Dellandrea | 0 | C/LW/RW | 100.00 | 83 | 33 | 94 | 57 | 77 | 78 | 90 | 59 | 82 | 65 | 56 | 76 | 57 | 67 | 66 | 0 | 27 | 74 | 25 | 1,300,000$/1yrs | |||
Emmitt Finnie (R) | 0 | C/LW | 100.00 | 78 | 32 | 99 | 64 | 67 | 82 | 90 | 58 | 59 | 61 | 66 | 67 | 62 | 58 | 58 | 0 | 27 | 74 | 20 | 821,667$/3yrs | |||
Ryan Leonard (R) | 0 | C/RW | 100.00 | 76 | 32 | 81 | 63 | 75 | 76 | 90 | 56 | 62 | 63 | 65 | 53 | 61 | 59 | 57 | 0 | 39 | 72 | 20 | 950,000$/3yrs | |||
Noah Laba (R) | 0 | C/RW | 100.00 | 74 | 40 | 71 | 59 | 77 | 67 | 84 | 56 | 43 | 59 | 58 | 65 | 58 | 61 | 58 | 0 | 37 | 70 | 22 | 870,000$/2yrs | |||
Cale Makar | 8 | D | 98.00 | 62 | 32 | 93 | 88 | 72 | 98 | 89 | 80 | 30 | 89 | 78 | 86 | 79 | 70 | 70 | 0 | 35 | 94 | 27 | 7,500,000$/8yrs | |||
Jake Sanderson | 0 | D | 100.00 | 61 | 33 | 94 | 77 | 79 | 95 | 90 | 71 | 30 | 80 | 65 | 82 | 68 | 63 | 63 | 0 | 35 | 86 | 23 | 4,100,000$/2yrs | |||
Moritz Seider | 0 | D | 100.00 | 85 | 35 | 81 | 73 | 83 | 96 | 90 | 71 | 30 | 74 | 62 | 85 | 66 | 65 | 64 | 0 | 36 | 85 | 24 | 8,550,000$/6yrs | |||
Alexander Nikishin (R) | 0 | D | 100.00 | 71 | 40 | 81 | 69 | 87 | 78 | 89 | 66 | 30 | 73 | 68 | 73 | 71 | 64 | 62 | 0 | 41 | 81 | 24 | 925,000$/2yrs | |||
Braden Schneider | 0 | D | 100.00 | 79 | 33 | 92 | 55 | 84 | 84 | 90 | 57 | 30 | 62 | 59 | 70 | 58 | 64 | 63 | 0 | 22 | 74 | 24 | 2,250,000$/2yrs | |||
Arber Xhekaj | 0 | D | 100.00 | 86 | 59 | 50 | 55 | 95 | 81 | 83 | 52 | 30 | 58 | 55 | 64 | 54 | 65 | 60 | 0 | 22 | 70 | 24 | 1,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.56 | 71 | 35 | 83 | 70 | 75 | 84 | 88 | 66 | 54 | 70 | 69 | 66 | 68 | 64 | 63 | 0 | 34 | 79 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lukas Dostal | 1 | 100.00 | 85 | 95 | 81 | 72 | 87 | 80 | 89 | 93 | 87 | 92 | 89 | 67 | 72 | 0 | 38 | 89 | 25 | 6,500,000$/5yrs |
Jet Greaves | 0 | 100.00 | 89 | 67 | 68 | 74 | 83 | 68 | 84 | 81 | 81 | 81 | 84 | 66 | 70 | 0 | 54 | 81 | 24 | 900,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 87 | 81 | 75 | 73 | 85 | 74 | 87 | 87 | 84 | 87 | 87 | 67 | 71 | 0 | 46 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Kris Knoblauch | 73 | 83 | 91 | 78 | 68 | 90 | 83 | CAN | 46 | 4 | 1,000,000$ |
| General Manager | Jean-francois Claes |
|---|
| 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 | Jake Sanderson | 0 | D | 35 | 3 | 25 | 28 | 8 | 14 | 0 | 38 | 54 | 24 | 47 | 5.56% | 55 | 24.73 | 1 | 4 | 5 | 121 | 0 | 1 | 1 | 100 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 2 | Dylan Larkin | 71 | C/LW | 35 | 14 | 12 | 26 | 6 | 8 | 0 | 38 | 112 | 32 | 82 | 12.50% | 5 | 21.14 | 2 | 4 | 6 | 119 | 1 | 0 | 1 | 59 | 3 | 0 | 51.94% | 926 | 0 | 0 | 0 | 0 | 0.70 | 0 | 1 | |
| 3 | Trevor Zegras | 0 | C/LW/RW | 36 | 10 | 15 | 25 | 0 | 0 | 0 | 24 | 84 | 22 | 53 | 11.90% | 2 | 16.16 | 2 | 6 | 8 | 108 | 0 | 0 | 0 | 20 | 2 | 0 | 41.98% | 374 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
| 4 | Cale Makar | 8 | D | 35 | 6 | 17 | 23 | -1 | 34 | 0 | 59 | 76 | 32 | 58 | 7.89% | 60 | 25.25 | 5 | 4 | 9 | 124 | 0 | 0 | 0 | 101 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 5 | Moritz Seider | 0 | D | 35 | 6 | 16 | 22 | 2 | 63 | 5 | 83 | 70 | 26 | 46 | 8.57% | 38 | 21.01 | 2 | 2 | 4 | 101 | 0 | 0 | 0 | 35 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 6 | Lucas Raymond | 0 | LW/RW | 35 | 9 | 13 | 22 | 10 | 4 | 0 | 30 | 84 | 28 | 68 | 10.71% | 2 | 18.75 | 0 | 5 | 5 | 109 | 0 | 0 | 0 | 21 | 0 | 0 | 29.17% | 48 | 0 | 0 | 0 | 0 | 0.67 | 0 | 2 | |
| 7 | Dylan Guenther | 0 | LW/RW | 35 | 9 | 11 | 20 | 9 | 24 | 0 | 39 | 76 | 30 | 61 | 11.84% | 4 | 17.31 | 0 | 3 | 3 | 108 | 0 | 0 | 0 | 1 | 1 | 0 | 35.42% | 48 | 0 | 0 | 0 | 0 | 0.66 | 1 | 1 | |
| 8 | Alexander Nikishin | 0 | D | 35 | 4 | 15 | 19 | 6 | 22 | 10 | 29 | 33 | 9 | 19 | 12.12% | 49 | 16.57 | 2 | 1 | 3 | 46 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
| 9 | Logan Stankoven | 0 | C | 32 | 6 | 10 | 16 | -4 | 8 | 0 | 34 | 68 | 24 | 44 | 8.82% | 7 | 19.90 | 2 | 3 | 5 | 93 | 0 | 0 | 0 | 50 | 2 | 0 | 43.37% | 754 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 10 | Dylan Cozens | 0 | C/LW | 36 | 4 | 5 | 9 | -2 | 24 | 0 | 75 | 59 | 17 | 50 | 6.78% | 2 | 18.41 | 1 | 1 | 2 | 109 | 0 | 0 | 0 | 55 | 0 | 0 | 50.77% | 453 | 0 | 0 | 0 | 0 | 0.27 | 0 | 1 | |
| 11 | Beckett Sennecke | 0 | LW/RW | 20 | 1 | 5 | 6 | -8 | 0 | 0 | 16 | 34 | 11 | 24 | 2.94% | 1 | 12.93 | 1 | 1 | 2 | 52 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 12 | Braden Schneider | 0 | D | 36 | 0 | 4 | 4 | 1 | 30 | 0 | 47 | 32 | 11 | 34 | 0.00% | 45 | 18.91 | 0 | 2 | 2 | 58 | 0 | 0 | 0 | 111 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 13 | Jackson Blake | 0 | C/RW | 35 | 2 | 1 | 3 | -15 | 2 | 0 | 14 | 27 | 7 | 21 | 7.41% | 4 | 13.73 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 25 | 0 | 0 | 37.04% | 27 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 14 | Ty Dellandrea | 0 | C/LW/RW | 22 | 1 | 1 | 2 | 1 | 9 | 5 | 18 | 16 | 4 | 6 | 6.25% | 3 | 9.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 54.86% | 175 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 15 | Arber Xhekaj | 0 | D | 12 | 0 | 2 | 2 | 8 | 30 | 10 | 47 | 2 | 1 | 2 | 0.00% | 14 | 12.89 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 16 | Emmitt Finnie | 0 | C/LW | 15 | 1 | 1 | 2 | 0 | 2 | 0 | 5 | 20 | 4 | 7 | 5.00% | 1 | 8.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 17 | Ryan Leonard | 0 | C/RW | 19 | 1 | 1 | 2 | -5 | 2 | 0 | 24 | 12 | 4 | 7 | 8.33% | 0 | 8.29 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 38.16% | 76 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
| 18 | Noah Laba | 0 | C/RW | 7 | 0 | 0 | 0 | -2 | 6 | 0 | 8 | 8 | 5 | 3 | 0.00% | 2 | 12.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 36.92% | 65 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 515 | 77 | 154 | 231 | 14 | 282 | 30 | 628 | 867 | 291 | 632 | 8.88% | 294 | 17.68 | 18 | 37 | 55 | 1167 | 1 | 1 | 2 | 730 | 10 | 1 | 46.87% | 2972 | 0 | 0 | 0 | 0 | 0.51 | 1 | 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 | Lukas Dostal | 26 | 9 | 12 | 3 | 0.915 | 2.48 | 1478 | 0 | 0 | 61 | 715 | 0 | 0 | 0 | 0.500 | 2 | 24 | 11 | 1 | 2 | 1 | |
| 2 | Jet Greaves | 11 | 4 | 6 | 1 | 0.865 | 3.68 | 604 | 2 | 1 | 37 | 274 | 0 | 1 | 0 | 0.000 | 0 | 11 | 25 | 0 | 0 | 1 | |
| Team Total or Average | 37 | 13 | 18 | 4 | 0.901 | 2.82 | 2082 | 2 | 1 | 98 | 989 | 0 | 1 | 0 | 0.500 | 2 | 35 | 36 | 1 | 2 | 2 |
| Projected Total Cap Hit | 77,417,165$ |
| Projected Cap Space | 18,082,835$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 31,523,885$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Red Wings Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nikishin | D | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Arber Xhekaj ![]() | D | 24 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Beckett Sennecke | LW/RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Braden Schneider ![]() | D | 24 | 2,250,000$ | 2,250,000$ | 2,250,000$ | RFA | |||||
Cale Makar ![]() | D | 27 | 7,500,000$ | 7,500,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ |
Dylan Cozens ![]() | C/LW | 24 | 6,250,000$ | 6,250,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | UFA | ||
Dylan Guenther ![]() | LW/RW | 22 | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ |
Dylan Larkin ![]() | C/LW | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||
Emmitt Finnie | C/LW | 20 | 821,667$ | 821,667$ | 821,667$ | 821,667$ | RFA | ||||
Jackson Blake | C/RW | 22 | 905,833$ | 905,833$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ |
Jake Sanderson ![]() | D | 23 | 4,100,000$ | 4,100,000$ | 4,100,000$ | RFA | |||||
Jet Greaves | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Logan Stankoven | C | 22 | 814,167$ | 814,167$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Lucas Raymond ![]() | LW/RW | 23 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Lukas Dostal ![]() | G | 25 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Moritz Seider ![]() | D | 24 | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | UFA | |
Noah Laba | C/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Ryan Leonard | C/RW | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Trevor Zegras ![]() | C/LW/RW | 24 | 5,750,000$ | 5,750,000$ | RFA | ||||||
Ty Dellandrea ![]() | C/LW/RW | 25 | 1,300,000$ | 1,300,000$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Wahlberg | C/LW | 20 | 896,667$ | 896,667$ | RFA | ||||||
Avery Hayes | C | 23 | 830,000$ | 830,000$ | 830,000$ | RFA | |||||
Bradly Nadeau | LW/RW | 20 | 975,000$ | 975,000$ | RFA | ||||||
Brady Martin | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Carson Bjarnason | G | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Dalibor Dvorsky | C/RW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
David Reinbacher | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Dominic James | C/LW | 23 | 910,000$ | 910,000$ | 910,000$ | RFA | |||||
Ethan Gauthier | RW | 20 | 833,333$ | 833,333$ | 833,333$ | 833,333$ | RFA | ||||
Etienne Morin | D | 20 | 871,666$ | 871,666$ | 871,666$ | 871,666$ | RFA | ||||
Finn Harding | D | 20 | 885,000$ | 885,000$ | 885,000$ | 885,000$ | RFA | ||||
Florian Xhekaj | C/LW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Gabe Perreault | RW | 20 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
Hendrix Lapierre | C | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Ilya Nabokov | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jeremie Poirier | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Jordan Dumais | LW/RW | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Kai Uchacz | C/LW/RW | 22 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Louis Crevier | D | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Lucas Pettersson | C/LW | 19 | 869,050$ | 869,050$ | 869,050$ | 869,050$ | RFA | ||||
Luke Haymes | C/LW | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Mathieu Cataford | C/RW | 20 | 801,666$ | 801,666$ | 801,666$ | 801,666$ | RFA | ||||
Mavrik Bourque | C/RW | 23 | 900,000$ | 900,000$ | RFA | ||||||
Michal Postava | G | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Sam Dickinson | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Taylor Makar | C/LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Tij Iginla | C/LW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | |||||
Topias Leinonen | G | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Tristan Luneau | D | 21 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Zayne Parekh | D | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | 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 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 28 | 12 | 9 | 7 | 0 | 31 | 7 | 13 | 14 | 3 | 3 | 100.00% | 4 | 1 | 75.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 26 | 18 | 21 | 6 | 12 | 6 | 20.0% | 14.3% | 83.9% | 98.2 | FUN | |
| 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 0 | 1 | 37 | 9 | 11 | 13 | 7 | 27 | 3 | 10 | 27 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 29 | 21 | 22 | 8 | 13 | 6 | 80.0% | 10.8% | 88.9% | 99.7 | FUN | |
| 3 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 5 | 0.833 | 8 | 14 | 22 | 0 | 1 | 2 | 5 | 1 | 0 | 91 | 31 | 29 | 31 | 0 | 72 | 20 | 20 | 90 | 8 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 76 | 53 | 67 | 21 | 39 | 20 | 72.7% | 8.8% | 93.1% | 101.8 | DULL | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 47 | 16 | 22 | 9 | 0 | 66 | 27 | 22 | 50 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 41 | 28 | 52 | 14 | 26 | 12 | 40.0% | 8.5% | 86.4% | 94.9 | Unlucky | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 44 | 16 | 16 | 12 | 0 | 25 | 4 | 10 | 17 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 26 | 20 | 21 | 7 | 11 | 5 | 100.0% | 9.1% | 96.0% | 105.1 | LUCKY | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 29 | 8 | 11 | 10 | 0 | 38 | 16 | 8 | 14 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 24 | 17 | 22 | 6 | 13 | 6 | 50.0% | 3.4% | 94.7% | 98.2 | DULL | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 35 | 8 | 12 | 15 | 0 | 36 | 10 | 19 | 14 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 22 | 16 | 23 | 7 | 13 | 6 | 25.0% | 2.9% | 86.1% | 89.0 | Unlucky | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 33 | 14 | 6 | 13 | 0 | 21 | 12 | 10 | 13 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 26 | 18 | 20 | 7 | 13 | 6 | 50.0% | 9.1% | 90.5% | 99.6 | FUN | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 2 | 4 | 0 | 69 | 25 | 26 | 18 | 0 | 47 | 12 | 14 | 38 | 11 | 3 | 27.27% | 7 | 0 | 100.00% | 1 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 54 | 40 | 40 | 13 | 25 | 13 | 75.0% | 13.0% | 95.7% | 108.8 | LUCKY | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 4 | 0 | 0 | 64 | 18 | 24 | 22 | 0 | 52 | 10 | 18 | 39 | 15 | 4 | 26.67% | 6 | 2 | 66.67% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 51 | 37 | 43 | 13 | 24 | 12 | 14.3% | 7.8% | 84.6% | 92.4 | Unlucky | |
| 11 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 47 | 19 | 6 | 20 | 2 | 77 | 19 | 37 | 40 | 9 | 1 | 11.11% | 16 | 3 | 81.25% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 47 | 32 | 53 | 15 | 23 | 12 | 50.0% | 8.5% | 92.2% | 100.7 | DULL | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 10 | 9 | 6 | 0 | 20 | 9 | 11 | 22 | 9 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 26 | 17 | 20 | 7 | 13 | 6 | 33.3% | 4.0% | 80.0% | 84.0 | Unlucky | |
| 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 41 | 12 | 18 | 11 | 0 | 46 | 14 | 16 | 42 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 43 | 28 | 49 | 15 | 26 | 13 | 66.7% | 12.2% | 95.7% | 107.8 | LUCKY | |
| 14 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 60 | 20 | 14 | 19 | 10 | 61 | 20 | 14 | 39 | 3 | 0 | 0.00% | 6 | 4 | 33.33% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 53 | 39 | 47 | 14 | 24 | 12 | 60.0% | 10.0% | 86.9% | 96.9 | FUN | |
| 15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 73 | 21 | 25 | 27 | 0 | 37 | 13 | 9 | 39 | 9 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 57 | 42 | 37 | 13 | 24 | 13 | 63.6% | 9.6% | 86.5% | 96.1 | FUN | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 11 | 8 | 11 | 0 | 22 | 11 | 10 | 21 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 27 | 21 | 20 | 6 | 11 | 5 | 75.0% | 10.0% | 95.5% | 105.5 | LUCKY | |
| 17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 53 | 21 | 12 | 20 | 0 | 80 | 21 | 12 | 44 | 9 | 2 | 22.22% | 6 | 3 | 50.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 46 | 31 | 47 | 14 | 26 | 13 | 42.9% | 9.4% | 91.3% | 100.7 | LUCKY | |
| 18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 32 | 10 | 7 | 15 | 0 | 55 | 19 | 10 | 45 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 44 | 30 | 49 | 14 | 26 | 13 | 50.0% | 12.5% | 92.7% | 105.2 | LUCKY | |
| 19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 57 | 16 | 24 | 17 | 0 | 63 | 29 | 17 | 38 | 10 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 49 | 34 | 46 | 14 | 24 | 12 | 50.0% | 5.3% | 92.1% | 97.3 | DULL | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 24 | 8 | 7 | 9 | 0 | 36 | 11 | 8 | 33 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 22 | 16 | 24 | 7 | 12 | 6 | 60.0% | 12.5% | 88.9% | 101.4 | FUN | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 34 | 4 | 17 | 13 | 0 | 32 | 8 | 10 | 21 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 25 | 17 | 24 | 7 | 10 | 5 | 66.7% | 8.8% | 93.8% | 102.6 | DULL | |
| 22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 43 | 19 | 12 | 12 | 0 | 69 | 22 | 44 | 49 | 4 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 48 | 33 | 46 | 14 | 25 | 11 | 16.7% | 2.3% | 91.3% | 93.6 | DULL | |
| _Vs Division | 10 | 6 | 3 | 0 | 0 | 0 | 0 | 1 | 30 | 19 | 11 | 13 | 0.650 | 30 | 56 | 86 | 0 | 0 | 11 | 7 | 12 | 0 | 301 | 100 | 106 | 88 | 10 | 264 | 90 | 81 | 195 | 35 | 5 | 14.29% | 35 | 7 | 80.00% | 1 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 256 | 184 | 225 | 71 | 123 | 64 | 67.6% | 10.0% | 92.8% | 102.8 | LUCKY | |
| _Vs Conference | 18 | 8 | 7 | 0 | 0 | 1 | 1 | 1 | 51 | 43 | 8 | 20 | 0.556 | 51 | 92 | 143 | 0 | 1 | 21 | 14 | 15 | 1 | 529 | 177 | 180 | 161 | 17 | 509 | 161 | 145 | 406 | 59 | 7 | 11.86% | 66 | 17 | 74.24% | 1 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 449 | 319 | 414 | 130 | 229 | 116 | 62.9% | 9.6% | 91.6% | 101.2 | LUCKY | |
| _Since Last GM Reset | 35 | 12 | 19 | 0 | 0 | 2 | 1 | 1 | 88 | 96 | -8 | 29 | 0.414 | 88 | 159 | 247 | 0 | 1 | 30 | 32 | 25 | 1 | 996 | 328 | 325 | 330 | 19 | 1013 | 317 | 342 | 749 | 129 | 17 | 13.18% | 137 | 33 | 75.91% | 1 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 874 | 617 | 801 | 251 | 442 | 223 | 53.0% | 8.8% | 90.5% | 99.4 | Unlucky | |
| Total | 35 | 12 | 19 | 0 | 0 | 2 | 1 | 1 | 88 | 96 | -8 | 29 | 0.414 | 88 | 159 | 247 | 0 | 1 | 30 | 32 | 25 | 1 | 996 | 328 | 325 | 330 | 19 | 1013 | 317 | 342 | 749 | 129 | 17 | 13.18% | 137 | 33 | 75.91% | 1 | 545 | 1103 | 49.41% | 595 | 1172 | 50.77% | 242 | 515 | 46.99% | 874 | 617 | 801 | 251 | 442 | 223 | 53.0% | 8.8% | 90.5% | 99.4 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1103 |
| Neutral Zone Start | 515 |
| Defensive Zone Start | 1172 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1382 |
| Faceoffs Lost | 1408 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.4 | 9.57 |
| 2nd Period | 18.7 | 20.31 |
| 3rd Period | 28.1 | 30.68 |
| Overtime | 28.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 70 |
|---|---|
| PP Goal | 17 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 9 | 4 |
| Lost | 8 | 11 |
| Overtime Lost | 1 | 2 |
| PP Attempt | 129 |
|---|---|
| PP Goal | 17 |
| PK Attempt | 137 |
| PK Goal Against | 33 |
| Home | |
|---|---|
| Shots For | 28.5 |
| Shots Against | 28.9 |
| Goals For | 2.5 |
| Goals Against | 2.7 |
| Hits | 21.4 |
| Shots Blocked | 9.1 |
| Pim | 9.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Canadiens1,Red Wings4 | RECAP | |||||||||||
| 2025-10-12 | @ | Maple Leafs1,Red Wings2 | RECAP | |||||||||||
| 2025-10-14 | @ | Red Wings1,Maple Leafs4 | RECAP | |||||||||||
| 2025-10-16 | @ | Panthers1,Red Wings3 | RECAP | |||||||||||
| 2025-10-18 | @ | Lightning1,Red Wings4 | RECAP | |||||||||||
| 2025-10-20 | @ | Oilers4,Red Wings3 | RECAP | |||||||||||
| 2025-10-23 | @ | Red Wings5,Sabres6 (SO) | RECAP | |||||||||||
| 2025-10-24 | @ | Red Wings2,Islanders1 | RECAP | |||||||||||
| 2025-10-26 | @ | Blues4,Red Wings3 | RECAP | |||||||||||
| 2025-10-29 | @ | Red Wings1,Blues2 (OT) | RECAP | |||||||||||
| 2025-10-31 | @ | Red Wings1,Kings5 | RECAP | |||||||||||
| 2025-11-01 | @ | Red Wings1,Ducks3 | RECAP | |||||||||||
| 2025-11-03 | @ | Red Wings3,Sharks4 | RECAP | |||||||||||
| 2025-11-05 | @ | Red Wings3,Golden Knights2 | RECAP | |||||||||||
| 2025-11-08 | @ | Rangers6,Red Wings2 | RECAP | |||||||||||
| 2025-11-10 | @ | Blackhawks1,Red Wings5 | RECAP | |||||||||||
| 2025-11-14 | @ | Ducks1,Red Wings3 | RECAP | |||||||||||
| 2025-11-16 | @ | Sabres2,Red Wings1 | RECAP | |||||||||||
| 2025-11-17 | @ | Red Wings2,Rangers3 | RECAP | |||||||||||
| 2025-11-19 | @ | Kraken3,Red Wings1 | RECAP | |||||||||||
| 2025-11-21 | @ | Islanders4,Red Wings3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Blue Jackets3,Red Wings2 | RECAP | |||||||||||
| 2025-11-25 | @ | Red Wings4,Devils3 (SO) | RECAP | |||||||||||
| 2025-11-27 | @ | Predators2,Red Wings3 | RECAP | |||||||||||
| 2025-11-29 | @ | Lightning1,Red Wings5 | RECAP | |||||||||||
| 2025-11-30 | @ | Red Wings5,Bruins1 | RECAP | |||||||||||
| 2025-12-03 | @ | Bruins1,Red Wings0 | RECAP | |||||||||||
| 2025-12-05 | @ | Red Wings3,Blue Jackets4 | RECAP | |||||||||||
| 2025-12-07 | @ | Red Wings0,Kraken3 | RECAP | |||||||||||
| 2025-12-09 | @ | Red Wings1,Canucks2 | RECAP | |||||||||||
| 2025-12-11 | @ | Red Wings4,Flames5 | RECAP | |||||||||||
| 2025-12-12 | @ | Red Wings2,Oilers4 | RECAP | |||||||||||
| 2025-12-14 | @ | Red Wings2,Blackhawks4 | RECAP | |||||||||||
| 2025-12-17 | @ | Islanders0,Red Wings3 | RECAP | |||||||||||
| 2025-12-18 | @ | Mammoth4,Red Wings1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 73,429,167$ | 0$ | 77,417,165$ | 22,070,833$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Joe Louis Arena | |
| City | Detroit | ||
| 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 | 101402 | 85287 | 33939 | 67950 | 17037 |
| Attendance PCT | 93.89% | 94.76% | 94.28% | 94.38% | 94.65% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 16979 - 94.33% | 1,556,492$ | 28,016,864$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 73,429,167$ | 73,429,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 31,898,891$ | 382,444$ | 31,523,885$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 35,799,326$ | 120 | 387,652$ | 46,518,240$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 48,680,832$ | 73,429,167$ | 39,618,177$ | 26,736,671$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Anton Silayev | 2024 | 11 | |||
| Jackson Smith | 2025 | 11 | |||
| Rodion Amirov | RIP |
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