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Full Scoreboard »» |
| Detroit Red Wings 20-26-4, 44pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lucas Raymond | 0 | LW/RW | 100.00 | 61 | 32 | 92 | 82 | 68 | 86 | 90 | 76 | 57 | 84 | 75 | 60 | 76 | 65 | 64 | 0 | 36 | 85 | 23 | 7,000,000$/3yrs | |||
Trevor Zegras | 0 | C/LW/RW | 100.00 | 59 | 32 | 75 | 80 | 72 | 85 | 90 | 76 | 61 | 78 | 80 | 52 | 78 | 67 | 64 | 0 | 34 | 84 | 24 | 5,750,000$/1yrs | |||
Dylan Guenther | 0 | LW/RW | 100.00 | 65 | 32 | 88 | 79 | 71 | 83 | 88 | 73 | 59 | 74 | 80 | 58 | 77 | 63 | 62 | 0 | 38 | 83 | 22 | 7,100,000$/8yrs | |||
Dylan Cozens | 0 | C/LW | 100.00 | 86 | 33 | 74 | 74 | 79 | 83 | 90 | 72 | 84 | 75 | 74 | 58 | 73 | 67 | 64 | 0 | 35 | 82 | 24 | 6,250,000$/5yrs | |||
Beckett Sennecke (R) | 0 | LW/RW | 100.00 | 68 | 32 | 75 | 74 | 72 | 82 | 73 | 70 | 60 | 75 | 73 | 53 | 72 | 58 | 55 | 0 | 52 | 79 | 19 | 942,500$/3yrs | |||
Ryan Leonard (R) | 0 | C/RW | 100.00 | 73 | 32 | 83 | 72 | 75 | 78 | 89 | 69 | 61 | 75 | 70 | 53 | 69 | 60 | 58 | 0 | 41 | 79 | 20 | 950,000$/3yrs | |||
Emmitt Finnie (R) | 0 | C/LW | 100.00 | 75 | 32 | 96 | 68 | 67 | 83 | 73 | 63 | 59 | 66 | 70 | 66 | 66 | 59 | 58 | 0 | 30 | 77 | 20 | 821,667$/3yrs | |||
Shane Wright (R) | 0 | C | 100.00 | 64 | 32 | 93 | 68 | 75 | 78 | 90 | 62 | 78 | 68 | 69 | 60 | 66 | 61 | 61 | 0 | 62 | 76 | 22 | 886,666$/2yrs | |||
Logan Stankoven | 0 | C/RW | 100.00 | 62 | 33 | 88 | 68 | 62 | 80 | 90 | 64 | 75 | 68 | 66 | 55 | 65 | 63 | 62 | 0 | 36 | 75 | 22 | 814,167$/9yrs | |||
Jackson Blake (R) | 0 | C/RW | 100.00 | 56 | 31 | 84 | 66 | 59 | 80 | 90 | 64 | 59 | 66 | 71 | 52 | 68 | 62 | 60 | 0 | 38 | 74 | 22 | 905,833$/9yrs | |||
Noah Laba (R) | 0 | C/RW | 100.00 | 71 | 34 | 83 | 62 | 86 | 77 | 74 | 59 | 81 | 62 | 62 | 68 | 61 | 62 | 60 | 0 | 40 | 73 | 22 | 870,000$/2yrs | |||
Ty Dellandrea | 0 | C/LW/RW | 100.00 | 85 | 40 | 76 | 55 | 77 | 76 | 88 | 55 | 80 | 61 | 54 | 75 | 54 | 67 | 65 | 0 | 31 | 71 | 25 | 1,300,000$/1yrs | |||
Cale Makar | 8 | D | 100.00 | 62 | 32 | 90 | 86 | 72 | 97 | 90 | 76 | 30 | 88 | 80 | 81 | 78 | 72 | 71 | 0 | 38 | 92 | 27 | 7,500,000$/8yrs | |||
Moritz Seider | 0 | D | 100.00 | 82 | 35 | 78 | 74 | 83 | 96 | 90 | 70 | 30 | 77 | 63 | 80 | 67 | 67 | 64 | 0 | 40 | 85 | 24 | 8,550,000$/6yrs | |||
Jake Sanderson | 0 | D | 100.00 | 60 | 33 | 95 | 75 | 79 | 96 | 90 | 70 | 30 | 79 | 67 | 80 | 68 | 65 | 64 | 0 | 38 | 85 | 23 | 4,100,000$/2yrs | |||
Alexander Nikishin (R) | 0 | D | 100.00 | 80 | 34 | 87 | 62 | 87 | 87 | 73 | 57 | 30 | 67 | 62 | 68 | 60 | 65 | 64 | 0 | 45 | 76 | 24 | 925,000$/2yrs | |||
Braden Schneider | 0 | D | 100.00 | 82 | 33 | 91 | 55 | 84 | 87 | 90 | 58 | 30 | 60 | 56 | 76 | 57 | 65 | 64 | 0 | 25 | 74 | 24 | 2,250,000$/2yrs | |||
Arber Xhekaj | 0 | D | 100.00 | 84 | 66 | 50 | 55 | 95 | 78 | 87 | 50 | 30 | 55 | 53 | 62 | 52 | 66 | 61 | 0 | 25 | 68 | 24 | 1,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 71 | 35 | 83 | 70 | 76 | 84 | 86 | 66 | 55 | 71 | 68 | 64 | 67 | 64 | 62 | 0 | 38 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jet Greaves | 0 | 97.00 | 84 | 95 | 82 | 74 | 90 | 84 | 90 | 91 | 93 | 91 | 90 | 67 | 72 | 0 | 52 | 90 | 24 | 900,000$/1yrs |
Lukas Dostal | 1 | 100.00 | 88 | 95 | 82 | 72 | 86 | 78 | 88 | 93 | 86 | 93 | 88 | 68 | 73 | 0 | 40 | 89 | 25 | 6,500,000$/5yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.50 | 86 | 95 | 82 | 73 | 88 | 81 | 89 | 92 | 90 | 92 | 89 | 68 | 73 | 0 | 46 | 90 | |||
| 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 | 50 | 9 | 32 | 41 | 7 | 18 | 0 | 66 | 93 | 36 | 77 | 9.68% | 79 | 25.15 | 6 | 6 | 12 | 179 | 0 | 1 | 1 | 150 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | |
| 2 | Cale Makar | 8 | D | 50 | 10 | 28 | 38 | -3 | 36 | 0 | 93 | 118 | 42 | 89 | 8.47% | 89 | 25.72 | 7 | 11 | 18 | 182 | 0 | 0 | 0 | 157 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
| 3 | Lucas Raymond | 0 | LW/RW | 50 | 13 | 23 | 36 | 6 | 8 | 0 | 40 | 131 | 45 | 103 | 9.92% | 3 | 19.26 | 0 | 10 | 10 | 163 | 0 | 0 | 0 | 25 | 1 | 0 | 33.77% | 77 | 0 | 0 | 0 | 0 | 0.75 | 1 | 4 | |
| 4 | Trevor Zegras | 0 | C/LW/RW | 51 | 13 | 18 | 31 | -5 | 5 | 5 | 44 | 128 | 35 | 87 | 10.16% | 4 | 16.73 | 4 | 7 | 11 | 161 | 0 | 0 | 0 | 29 | 2 | 0 | 41.56% | 397 | 0 | 0 | 0 | 0 | 0.73 | 0 | 1 | |
| 5 | Moritz Seider | 0 | D | 50 | 9 | 20 | 29 | -7 | 86 | 10 | 114 | 104 | 35 | 65 | 8.65% | 59 | 21.18 | 3 | 4 | 7 | 151 | 0 | 0 | 0 | 73 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 6 | Dylan Guenther | 0 | LW/RW | 50 | 12 | 15 | 27 | 4 | 24 | 0 | 57 | 121 | 40 | 101 | 9.92% | 6 | 18.39 | 0 | 5 | 5 | 162 | 0 | 0 | 0 | 18 | 1 | 0 | 35.82% | 67 | 0 | 0 | 0 | 0 | 0.59 | 1 | 2 | |
| 7 | Alexander Nikishin | 0 | D | 50 | 6 | 20 | 26 | -2 | 31 | 15 | 44 | 49 | 14 | 35 | 12.24% | 61 | 17.30 | 4 | 3 | 7 | 96 | 0 | 0 | 0 | 72 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 8 | Logan Stankoven | 0 | C/RW | 47 | 8 | 13 | 21 | -5 | 8 | 0 | 44 | 88 | 29 | 59 | 9.09% | 10 | 17.84 | 2 | 4 | 6 | 122 | 0 | 0 | 0 | 50 | 2 | 0 | 43.44% | 1013 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 9 | Dylan Cozens | 0 | C/LW | 51 | 6 | 11 | 17 | -8 | 38 | 0 | 118 | 87 | 30 | 77 | 6.90% | 3 | 18.93 | 3 | 4 | 7 | 160 | 0 | 0 | 0 | 79 | 0 | 0 | 50.89% | 845 | 0 | 0 | 0 | 0 | 0.35 | 1 | 2 | |
| 10 | Beckett Sennecke | 0 | LW/RW | 35 | 3 | 9 | 12 | -4 | 6 | 0 | 34 | 61 | 19 | 52 | 4.92% | 1 | 12.89 | 1 | 2 | 3 | 106 | 0 | 0 | 0 | 0 | 1 | 0 | 41.94% | 31 | 0 | 0 | 0 | 0 | 0.53 | 0 | 1 | |
| 11 | Shane Wright | 0 | C | 49 | 3 | 5 | 8 | -3 | 8 | 0 | 12 | 30 | 17 | 36 | 10.00% | 4 | 7.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.46% | 434 | 0 | 0 | 0 | 0 | 0.43 | 1 | 2 | |
| 12 | Ryan Leonard | 0 | C/RW | 34 | 3 | 4 | 7 | 0 | 10 | 0 | 55 | 27 | 6 | 17 | 11.11% | 1 | 8.94 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 35.96% | 89 | 0 | 0 | 0 | 0 | 0.46 | 0 | 1 | |
| 13 | Braden Schneider | 0 | D | 51 | 0 | 6 | 6 | 5 | 32 | 0 | 55 | 39 | 14 | 44 | 0.00% | 63 | 17.83 | 0 | 2 | 2 | 59 | 0 | 0 | 0 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 14 | Ty Dellandrea | 0 | C/LW/RW | 36 | 2 | 2 | 4 | 0 | 19 | 5 | 30 | 29 | 8 | 13 | 6.90% | 5 | 9.61 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 86 | 1 | 0 | 53.06% | 343 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 15 | Emmitt Finnie | 0 | C/LW | 30 | 1 | 3 | 4 | -1 | 2 | 0 | 10 | 40 | 9 | 15 | 2.50% | 1 | 7.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 29.41% | 17 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 16 | Arber Xhekaj | 0 | D | 27 | 0 | 3 | 3 | 13 | 64 | 10 | 79 | 6 | 4 | 5 | 0.00% | 24 | 12.40 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 17 | Jackson Blake | 0 | C/RW | 50 | 2 | 1 | 3 | -19 | 2 | 0 | 23 | 41 | 12 | 36 | 4.88% | 4 | 14.18 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 45 | 0 | 0 | 43.14% | 51 | 0 | 0 | 0 | 0 | 0.08 | 0 | 1 | |
| 18 | Noah Laba | 0 | C/RW | 22 | 1 | 0 | 1 | -3 | 10 | 0 | 13 | 24 | 10 | 25 | 4.17% | 4 | 11.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0 | 0 | 43.02% | 86 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| Team Total or Average | 783 | 101 | 213 | 314 | -25 | 407 | 45 | 931 | 1216 | 405 | 936 | 8.31% | 421 | 16.48 | 30 | 59 | 89 | 1564 | 0 | 1 | 1 | 1046 | 13 | 4 | 46.23% | 3450 | 0 | 0 | 0 | 0 | 0.49 | 4 | 16 |
| 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 | 29 | 10 | 13 | 3 | 0.916 | 2.47 | 1601 | 0 | 0 | 66 | 785 | 0 | 0 | 0 | 0.500 | 2 | 26 | 24 | 2 | 2 | 1 | |
| 2 | Jet Greaves | 25 | 10 | 12 | 2 | 0.894 | 3.19 | 1391 | 4 | 1 | 74 | 696 | 0 | 1 | 0 | 0.857 | 14 | 24 | 27 | 0 | 2 | 2 | |
| Team Total or Average | 54 | 20 | 25 | 5 | 0.905 | 2.81 | 2992 | 4 | 1 | 140 | 1481 | 0 | 1 | 0 | 0.813 | 16 | 50 | 51 | 2 | 4 | 3 |
| Projected Total Cap Hit | 73,337,381$ |
| Projected Cap Space | 22,162,619$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 43,857,355$ |
| 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$ |
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/RW | 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 | ||||
Shane Wright | C | 22 | 886,666$ | 886,666$ | 886,666$ | 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 | |||||
Justin Sourdif | C/RW | 23 | 950,000$ | 950,000$ | 950,000$ | 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 | 24 | 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$ | |||||
Tom Willander | D | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Topias Leinonen | G | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Tristan Luneau | D | 22 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 29 | 21 | 22 | 8 | 13 | 6 | 80.0% | 10.8% | 88.9% | 99.7 | FUN | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 57 | 17 | 27 | 13 | 0 | 86 | 19 | 14 | 49 | 14 | 4 | 28.57% | 7 | 2 | 71.43% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 49 | 33 | 45 | 14 | 24 | 12 | 11.1% | 8.8% | 88.4% | 97.1 | Unlucky | |
| 4 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 76 | 53 | 67 | 21 | 39 | 20 | 72.7% | 8.8% | 93.1% | 101.8 | DULL | |
| 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 52 | 20 | 18 | 14 | 0 | 59 | 16 | 12 | 52 | 13 | 3 | 23.08% | 6 | 2 | 66.67% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 48 | 33 | 46 | 14 | 24 | 12 | 40.0% | 9.6% | 91.5% | 101.1 | LUCKY | |
| 6 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 41 | 28 | 52 | 14 | 26 | 12 | 40.0% | 8.5% | 86.4% | 94.9 | Unlucky | |
| 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 1 | 3 | 0 | 71 | 28 | 25 | 18 | 0 | 61 | 12 | 20 | 41 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 48 | 33 | 46 | 15 | 25 | 12 | 75.0% | 9.9% | 95.1% | 104.9 | LUCKY | |
| 8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 49 | 16 | 20 | 13 | 0 | 75 | 20 | 25 | 42 | 5 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 50 | 35 | 45 | 14 | 23 | 11 | 42.9% | 6.1% | 90.7% | 96.8 | Unlucky | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 58 | 11 | 24 | 23 | 0 | 61 | 17 | 19 | 49 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 53 | 37 | 40 | 13 | 26 | 13 | 66.7% | 5.2% | 95.1% | 100.3 | DULL | |
| 10 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 22 | 16 | 23 | 7 | 13 | 6 | 25.0% | 2.9% | 86.1% | 89.0 | Unlucky | |
| 11 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 26 | 18 | 20 | 7 | 13 | 6 | 50.0% | 9.1% | 90.5% | 99.6 | FUN | |
| 12 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 54 | 40 | 40 | 13 | 25 | 13 | 75.0% | 13.0% | 95.7% | 108.8 | LUCKY | |
| 13 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 51 | 37 | 43 | 13 | 24 | 12 | 14.3% | 7.8% | 84.6% | 92.4 | Unlucky | |
| 14 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 47 | 32 | 53 | 15 | 23 | 12 | 50.0% | 8.5% | 92.2% | 100.7 | DULL | |
| 15 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 26 | 17 | 20 | 7 | 13 | 6 | 33.3% | 4.0% | 80.0% | 84.0 | Unlucky | |
| 16 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 4 | 2 | 3 | 1 | 68 | 21 | 20 | 26 | 1 | 76 | 20 | 24 | 67 | 9 | 3 | 33.33% | 10 | 0 | 100.00% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 68 | 44 | 73 | 22 | 39 | 20 | 53.8% | 14.7% | 92.1% | 106.8 | LUCKY | |
| 17 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 53 | 39 | 47 | 14 | 24 | 12 | 60.0% | 10.0% | 86.9% | 96.9 | FUN | |
| 18 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 57 | 42 | 37 | 13 | 24 | 13 | 63.6% | 9.6% | 86.5% | 96.1 | FUN | |
| 19 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 27 | 21 | 20 | 6 | 11 | 5 | 75.0% | 10.0% | 95.5% | 105.5 | LUCKY | |
| 20 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 46 | 31 | 47 | 14 | 26 | 13 | 42.9% | 9.4% | 91.3% | 100.7 | LUCKY | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 50 | 7 | 18 | 25 | 0 | 25 | 8 | 13 | 28 | 4 | 1 | 25.00% | 4 | 3 | 25.00% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 27 | 20 | 19 | 7 | 12 | 6 | 0.0% | 2.0% | 84.0% | 86.0 | Unlucky | |
| 22 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 44 | 30 | 49 | 14 | 26 | 13 | 50.0% | 12.5% | 92.7% | 105.2 | LUCKY | |
| 23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 33 | 12 | 9 | 12 | 0 | 27 | 8 | 4 | 16 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 27 | 20 | 20 | 6 | 11 | 6 | 66.7% | 18.2% | 92.6% | 110.8 | LUCKY | |
| 24 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 2 | 1 | 90 | 23 | 38 | 27 | 4 | 97 | 38 | 27 | 59 | 16 | 1 | 6.25% | 11 | 3 | 72.73% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 74 | 52 | 72 | 22 | 37 | 20 | 55.6% | 6.7% | 92.8% | 99.5 | DULL | |
| 25 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 1 | 73 | 38 | 18 | 12 | 16 | 60 | 25 | 18 | 32 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 50 | 35 | 49 | 14 | 25 | 12 | 50.0% | 4.1% | 91.7% | 95.8 | DULL | |
| 26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 49 | 17 | 17 | 15 | 0 | 73 | 22 | 18 | 44 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 47 | 32 | 48 | 14 | 24 | 12 | 62.5% | 10.2% | 93.2% | 103.4 | LUCKY | |
| 27 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 25 | 17 | 24 | 7 | 10 | 5 | 66.7% | 8.8% | 93.8% | 102.6 | DULL | |
| 28 | 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 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 48 | 33 | 46 | 14 | 25 | 11 | 16.7% | 2.3% | 91.3% | 93.6 | DULL | |
| _Vs Division | 15 | 7 | 5 | 0 | 1 | 0 | 1 | 1 | 46 | 37 | 9 | 19 | 0.633 | 46 | 82 | 128 | 0 | 0 | 19 | 10 | 15 | 2 | 445 | 145 | 158 | 132 | 15 | 450 | 132 | 123 | 314 | 60 | 12 | 20.00% | 56 | 10 | 82.14% | 1 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 376 | 264 | 344 | 108 | 188 | 97 | 55.7% | 10.3% | 91.8% | 102.1 | LUCKY | |
| _Vs Conference | 29 | 10 | 13 | 0 | 1 | 1 | 2 | 2 | 78 | 78 | 0 | 29 | 0.500 | 78 | 139 | 217 | 0 | 1 | 35 | 20 | 20 | 4 | 847 | 296 | 288 | 244 | 38 | 889 | 264 | 242 | 651 | 108 | 17 | 15.74% | 110 | 27 | 75.45% | 1 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 719 | 504 | 675 | 212 | 368 | 187 | 54.5% | 9.2% | 91.2% | 100.4 | LUCKY | |
| _Since Last GM Reset | 50 | 17 | 26 | 0 | 1 | 2 | 2 | 2 | 126 | 139 | -13 | 44 | 0.440 | 126 | 227 | 353 | 0 | 1 | 47 | 45 | 31 | 4 | 1451 | 478 | 483 | 469 | 40 | 1505 | 448 | 477 | 1084 | 195 | 31 | 15.90% | 195 | 47 | 75.90% | 1 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 1252 | 878 | 1143 | 360 | 631 | 320 | 50.8% | 8.7% | 90.8% | 99.4 | Unlucky | |
| Total | 50 | 17 | 26 | 0 | 1 | 2 | 2 | 2 | 126 | 139 | -13 | 44 | 0.440 | 126 | 227 | 353 | 0 | 1 | 47 | 45 | 31 | 4 | 1451 | 478 | 483 | 469 | 40 | 1505 | 448 | 477 | 1084 | 195 | 31 | 15.90% | 195 | 47 | 75.90% | 1 | 801 | 1638 | 48.90% | 883 | 1716 | 51.46% | 358 | 745 | 48.05% | 1252 | 878 | 1143 | 360 | 631 | 320 | 50.8% | 8.7% | 90.8% | 99.4 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1638 |
| Neutral Zone Start | 745 |
| Defensive Zone Start | 1716 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2042 |
| Faceoffs Lost | 2057 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.6 | 9.57 |
| 2nd Period | 19.2 | 20.31 |
| 3rd Period | 28.6 | 30.68 |
| Overtime | 29.4 | 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 | 94 |
|---|---|
| PP Goal | 31 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 14 | 6 |
| Lost | 12 | 14 |
| Overtime Lost | 1 | 3 |
| PP Attempt | 195 |
|---|---|
| PP Goal | 31 |
| PK Attempt | 195 |
| PK Goal Against | 47 |
| Home | |
|---|---|
| Shots For | 29.0 |
| Shots Against | 30.1 |
| Goals For | 2.5 |
| Goals Against | 2.8 |
| Hits | 21.7 |
| Shots Blocked | 9.0 |
| Pim | 9.5 |
| 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 | |||||||||||
| 2025-12-21 | @ | Red Wings2,Capitals3 | RECAP | |||||||||||
| 2025-12-22 | @ | Capitals4,Red Wings1 | RECAP | |||||||||||
| 2025-12-24 | @ | Stars2,Red Wings6 | RECAP | |||||||||||
| 2025-12-28 | @ | Red Wings2,Hurricanes3 | RECAP | |||||||||||
| 2025-12-29 | @ | Maple Leafs2,Red Wings3 (SO) | RECAP | |||||||||||
| 2026-01-01 | @ | Jets4,Red Wings1 | RECAP | |||||||||||
| 2026-01-02 | @ | Red Wings1,Penguins2 (SO) | RECAP | |||||||||||
| 2026-01-04 | @ | Penguins3,Red Wings2 | RECAP | |||||||||||
| 2026-01-06 | @ | Red Wings3,Senators5 | RECAP | |||||||||||
| 2026-01-09 | @ | Canucks1,Red Wings2 | RECAP | |||||||||||
| 2026-01-11 | @ | Red Wings3,Canadiens2 | RECAP | |||||||||||
| 2026-01-13 | @ | Hurricanes2,Red Wings3 | RECAP | |||||||||||
| 2026-01-14 | @ | Red Wings5,Bruins4 (OT) | RECAP | |||||||||||
| 2026-01-17 | @ | Sharks1,Red Wings2 | RECAP | |||||||||||
| 2026-01-19 | @ | Senators5,Red Wings2 | RECAP | |||||||||||
| 2026-01-22 | @ | |||||||||||||
| 2026-01-23 | @ | |||||||||||||
| 2026-01-25 | @ | |||||||||||||
| 2026-01-28 | @ | |||||||||||||
| 2026-01-30 | @ | |||||||||||||
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| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | |||||||||||||
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| 2026-03-28 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
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| 2026-04-10 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 65,815,833$ | 0$ | 73,337,381$ | 29,684,167$ |
| 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 | 151535 | 127021 | 50586 | 100736 | 25274 |
| Attendance PCT | 93.54% | 94.09% | 93.68% | 93.27% | 93.61% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 14 | 16857 - 93.65% | 1,546,445$ | 41,754,010$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 65,815,833$ | 65,815,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 44,409,441$ | 342,791$ | 43,857,355$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 21,650,227$ | 86 | 347,999$ | 29,927,914$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 31,526,832$ | 65,815,833$ | 40,146,053$ | 30,269,448$ |
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 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 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 |
| 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 |
|---|---|---|---|---|---|
| Anton Silayev | 2024 | 11 | |||
| Jackson Smith | 2025 | 11 | |||
| Rodion Amirov | RIP |
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