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Full Scoreboard »» |
| Dallas Stars 8-7-0, 16pts · 6th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | 9 | C/LW/RW | 98.00 | 72 | 33 | 76 | 79 | 80 | 88 | 90 | 78 | 59 | 78 | 80 | 70 | 79 | 74 | 71 | 0 | 54 | 86 | 29 | 6,500,000$/4yrs | |||
Mats Zuccarello | 63 | LW/RW | 100.00 | 60 | 32 | 87 | 72 | 66 | 88 | 86 | 73 | 59 | 82 | 70 | 63 | 71 | 89 | 88 | 0 | 31 | 84 | 38 | 6,750,000$/1yrs | |||
Tyler Seguin | 19 | C/RW | 100.00 | 65 | 33 | 88 | 75 | 80 | 83 | 79 | 75 | 83 | 74 | 79 | 63 | 77 | 81 | 80 | 0 | 48 | 84 | 33 | 9,850,000$/2yrs | |||
Jared McCann | 16 | C/LW | 98.00 | 62 | 34 | 89 | 77 | 76 | 84 | 90 | 73 | 74 | 74 | 75 | 71 | 74 | 74 | 73 | 0 | 50 | 83 | 29 | 5,500,000$/3yrs | |||
Blake Coleman | 20 | LW/RW | 100.00 | 78 | 36 | 76 | 71 | 76 | 85 | 90 | 68 | 60 | 68 | 73 | 79 | 71 | 82 | 79 | 0 | 40 | 82 | 33 | 5,500,000$/4yrs | |||
Mason McTavish (A) | 23 | C/LW | 100.00 | 68 | 33 | 70 | 77 | 82 | 84 | 87 | 72 | 84 | 72 | 74 | 59 | 73 | 62 | 59 | 0 | 54 | 81 | 22 | 7,000,000$/6yrs | |||
Anthony Mantha | 39 | LW/RW | 100.00 | 65 | 40 | 85 | 71 | 95 | 79 | 79 | 69 | 58 | 67 | 75 | 59 | 72 | 77 | 75 | 0 | 36 | 80 | 31 | 3,500,000$/2yrs | |||
Conor Garland | 8 | LW/RW | 100.00 | 63 | 38 | 78 | 70 | 63 | 86 | 90 | 69 | 58 | 72 | 70 | 65 | 69 | 74 | 72 | 0 | 50 | 79 | 29 | 4,950,000$/1yrs | |||
Alex Wennberg | 21 | C/LW | 100.00 | 61 | 33 | 93 | 63 | 76 | 87 | 89 | 64 | 84 | 68 | 63 | 82 | 64 | 77 | 76 | 0 | 49 | 78 | 31 | 3,750,000$/3yrs | |||
Leo Carlsson (A) | 91 | C | 100.00 | 59 | 33 | 91 | 75 | 79 | 84 | 85 | 68 | 76 | 69 | 71 | 62 | 69 | 59 | 58 | 0 | 53 | 78 | 20 | 950,000$/1yrs | |||
Nino Niederreiter | 62 | LW/RW | 100.00 | 76 | 34 | 87 | 63 | 86 | 81 | 90 | 65 | 60 | 65 | 69 | 58 | 67 | 80 | 79 | 0 | 49 | 77 | 33 | 4,250,000$/1yrs | |||
Shane Wright (R) | 51 | C | 100.00 | 63 | 32 | 92 | 70 | 75 | 79 | 79 | 65 | 80 | 68 | 72 | 60 | 68 | 60 | 59 | 0 | 49 | 77 | 21 | 886,666$/2yrs | |||
Jaccob Slavin (C) | 74 | D | 98.00 | 61 | 33 | 96 | 65 | 83 | 91 | 90 | 67 | 30 | 69 | 59 | 85 | 63 | 77 | 77 | 0 | 53 | 81 | 31 | 6,395,955$/6yrs | |||
Noah Hanifin | 15 | D | 99.00 | 63 | 33 | 91 | 68 | 83 | 94 | 90 | 64 | 30 | 72 | 65 | 73 | 65 | 73 | 72 | 0 | 55 | 81 | 28 | 7,350,000$/7yrs | |||
Damon Severson | 78 | D | 100.00 | 63 | 37 | 75 | 64 | 81 | 89 | 86 | 61 | 30 | 67 | 62 | 72 | 62 | 77 | 74 | 0 | 54 | 78 | 31 | 5,750,000$/4yrs | |||
Connor Clifton | 75 | D | 100.00 | 88 | 36 | 79 | 55 | 73 | 81 | 88 | 61 | 30 | 64 | 53 | 82 | 57 | 75 | 73 | 0 | 49 | 77 | 30 | 2,500,000$/1yrs | |||
Brian Dumoulin | 2 | D | 100.00 | 67 | 33 | 92 | 55 | 84 | 87 | 90 | 59 | 30 | 63 | 58 | 70 | 58 | 82 | 81 | 0 | 50 | 75 | 34 | 3,150,000$/2yrs | |||
Johnathan Kovacevic | 88 | D | 100.00 | 71 | 44 | 73 | 58 | 85 | 86 | 87 | 56 | 30 | 61 | 57 | 72 | 56 | 71 | 69 | 0 | 30 | 74 | 28 | 3,300,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Alexandre Texier | 0 | C/LW/RW | 100.00 | 64 | 32 | 84 | 67 | 74 | 80 | 82 | 64 | 58 | 64 | 66 | 68 | 65 | 68 | 66 | 0 | 44 | 75 | 26 | 2,100,000$/1yrs | |||
Michael Carcone | 53 | C/LW | 100.00 | 66 | 37 | 81 | 60 | 64 | 74 | 85 | 63 | 59 | 61 | 69 | 52 | 66 | 73 | 71 | 0 | 47 | 73 | 29 | 850,000$/1yrs | |||
| TEAM AVERAGE | 99.65 | 67 | 35 | 84 | 68 | 78 | 85 | 87 | 67 | 57 | 69 | 68 | 68 | 67 | 74 | 73 | 0 | 47 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cam Talbot | 0 | 97.00 | 84 | 95 | 81 | 81 | 90 | 80 | 90 | 94 | 88 | 95 | 90 | 89 | 93 | 0 | 34 | 92 | 38 | 2,250,000$/1yrs |
Alexei Kolosov | 35 | 100.00 | 70 | 66 | 68 | 75 | 65 | 58 | 68 | 78 | 65 | 76 | 68 | 63 | 67 | 0 | 51 | 73 | 23 | 925,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.50 | 77 | 81 | 75 | 78 | 78 | 69 | 79 | 86 | 77 | 86 | 79 | 76 | 80 | 0 | 43 | 83 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spencer Carbery | 77 | 83 | 82 | 79 | 68 | 86 | 85 | CAN | 44 | 4 | 1,000,000$ |
| General Manager | Mathieu Cloutier |
|---|
| 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 | Adrian Kempe | 9 | C/LW/RW | 15 | 5 | 11 | 16 | 3 | 26 | 0 | 28 | 72 | 24 | 66 | 6.94% | 2 | 23.41 | 3 | 5 | 8 | 55 | 0 | 0 | 0 | 61 | 0 | 1 | 37.58% | 165 | 0 | 0 | 0 | 1 | 0.91 | 0 | 1 | |
| 2 | Jared McCann | 16 | C/LW | 15 | 5 | 10 | 15 | 5 | 8 | 0 | 15 | 53 | 10 | 41 | 9.43% | 3 | 23.08 | 1 | 5 | 6 | 55 | 0 | 0 | 0 | 67 | 0 | 0 | 60.87% | 23 | 0 | 0 | 0 | 0 | 0.87 | 1 | 1 | |
| 3 | Tyler Seguin | 19 | C/RW | 15 | 7 | 8 | 15 | 6 | 4 | 0 | 26 | 37 | 17 | 37 | 18.92% | 4 | 20.66 | 2 | 3 | 5 | 55 | 0 | 0 | 0 | 34 | 2 | 0 | 52.24% | 335 | 0 | 0 | 0 | 0 | 0.97 | 0 | 1 | |
| 4 | Mats Zuccarello | 63 | LW/RW | 15 | 5 | 6 | 11 | 2 | 4 | 0 | 8 | 41 | 9 | 27 | 12.20% | 1 | 16.81 | 1 | 2 | 3 | 47 | 0 | 0 | 0 | 8 | 0 | 0 | 32.14% | 28 | 0 | 0 | 0 | 0 | 0.87 | 1 | 1 | |
| 5 | Leo Carlsson | 91 | C | 15 | 4 | 7 | 11 | 3 | 6 | 0 | 16 | 54 | 9 | 27 | 7.41% | 0 | 16.47 | 1 | 2 | 3 | 50 | 0 | 0 | 0 | 0 | 1 | 0 | 49.11% | 336 | 0 | 0 | 0 | 0 | 0.89 | 0 | 1 | |
| 6 | Conor Garland | 8 | LW/RW | 15 | 5 | 5 | 10 | 0 | 4 | 0 | 24 | 41 | 9 | 33 | 12.20% | 4 | 17.17 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 21 | 1 | 0 | 44.90% | 49 | 0 | 0 | 0 | 0 | 0.78 | 0 | 1 | |
| 7 | Noah Hanifin | 15 | D | 15 | 2 | 8 | 10 | -1 | 20 | 0 | 31 | 25 | 6 | 19 | 8.00% | 13 | 25.54 | 1 | 2 | 3 | 60 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.52 | 0 | 0 | |
| 8 | Damon Severson | 78 | D | 15 | 1 | 8 | 9 | 3 | 6 | 0 | 5 | 20 | 12 | 10 | 5.00% | 13 | 20.87 | 1 | 5 | 6 | 46 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 9 | Anthony Mantha | 39 | LW/RW | 15 | 5 | 3 | 8 | -3 | 4 | 0 | 9 | 39 | 10 | 33 | 12.82% | 4 | 13.96 | 2 | 1 | 3 | 46 | 0 | 0 | 0 | 4 | 0 | 1 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | |
| 10 | Jaccob Slavin | 74 | D | 15 | 4 | 4 | 8 | 1 | 12 | 0 | 15 | 32 | 9 | 21 | 12.50% | 26 | 25.73 | 2 | 1 | 3 | 60 | 0 | 0 | 0 | 56 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 11 | Connor Clifton | 75 | D | 15 | 3 | 4 | 7 | 3 | 14 | 0 | 46 | 23 | 8 | 14 | 13.04% | 25 | 21.00 | 1 | 2 | 3 | 46 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 12 | Alex Wennberg | 21 | C/LW | 15 | 1 | 4 | 5 | 0 | 0 | 0 | 5 | 26 | 9 | 21 | 3.85% | 3 | 10.91 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 61.36% | 88 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 13 | Blake Coleman | 20 | LW/RW | 16 | 2 | 3 | 5 | 0 | 11 | 5 | 12 | 37 | 14 | 19 | 5.41% | 1 | 11.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 1 | 42.11% | 19 | 0 | 0 | 0 | 0 | 0.55 | 1 | 2 | |
| 14 | Mason McTavish | 23 | C/LW | 15 | 1 | 4 | 5 | -2 | 4 | 0 | 27 | 24 | 5 | 24 | 4.17% | 4 | 13.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 1 | 0 | 56.05% | 223 | 0 | 0 | 0 | 0 | 0.48 | 0 | 1 | |
| 15 | Johnathan Kovacevic | 88 | D | 14 | 1 | 3 | 4 | 3 | 14 | 0 | 22 | 10 | 0 | 3 | 10.00% | 14 | 14.17 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 16 | Shane Wright | 51 | C | 15 | 1 | 2 | 3 | -3 | 4 | 0 | 5 | 13 | 4 | 7 | 7.69% | 0 | 6.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.46% | 112 | 0 | 0 | 0 | 0 | 0.65 | 1 | 1 | |
| 17 | Brian Dumoulin | 2 | D | 15 | 1 | 1 | 2 | -2 | 10 | 0 | 20 | 7 | 2 | 4 | 14.29% | 14 | 14.38 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 18 | Nino Niederreiter | 62 | LW/RW | 15 | 0 | 1 | 1 | -4 | 10 | 0 | 19 | 17 | 2 | 13 | 0.00% | 3 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 14 | 0 | 0 | 0 | 0 | 0.10 | 1 | 1 | |
| 19 | Alexandre Texier | 0 | C/LW/RW | 12 | 1 | 0 | 1 | -5 | 0 | 0 | 3 | 17 | 4 | 8 | 5.88% | 1 | 5.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 20 | Michael Carcone | 53 | C/LW | 12 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 6 | 2 | 0 | 0.00% | 0 | 1.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 294 | 54 | 92 | 146 | 8 | 161 | 5 | 341 | 594 | 165 | 427 | 9.09% | 135 | 16.06 | 16 | 29 | 45 | 581 | 0 | 0 | 0 | 516 | 7 | 3 | 50.07% | 1412 | 0 | 0 | 1 | 1 | 0.62 | 5 | 12 |
| 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 | Cam Talbot | 13 | 8 | 4 | 1 | 0.906 | 2.86 | 755 | 4 | 0 | 36 | 381 | 0 | 0 | 0 | 0.636 | 11 | 13 | 1 | 0 | 0 | 0 | |
| Team Total or Average | 13 | 8 | 4 | 1 | 0.906 | 2.86 | 755 | 4 | 0 | 36 | 381 | 0 | 0 | 0 | 0.636 | 11 | 13 | 1 | 0 | 0 | 0 |
| Projected Total Cap Hit | 93,218,021$ |
| Projected Cap Space | 2,281,979$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 15,409,304$ |
| Players In Salary Cap | 22 |
| LTIR Players | 0 |
| Stars Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | C/LW/RW | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Alex Wennberg ![]() | C/LW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Alexandre Texier ![]() | C/LW/RW | 26 | 2,100,000$ | 2,100,000$ | |||||||
Alexei Kolosov | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Anthony Mantha ![]() | LW/RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Blake Coleman ![]() | LW/RW | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Brian Dumoulin ![]() | D | 34 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
| Cam Talbot | G | 38 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Connor Clifton ![]() | D | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Conor Garland ![]() | LW/RW | 29 | 4,950,000$ | 4,950,000$ | UFA | ||||||
Damon Severson ![]() | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Jaccob Slavin ![]() | D | 31 | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | UFA | |
Jared McCann ![]() | C/LW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Johnathan Kovacevic ![]() | D | 28 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||
Leo Carlsson | C | 20 | 950,000$ | 950,000$ | RFA | ||||||
Mason McTavish ![]() | C/LW | 22 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||
Mats Zuccarello ![]() | LW/RW | 38 | 6,750,000$ | 6,750,000$ | UFA | ||||||
Michael Carcone | C/LW | 29 | 850,000$ | 850,000$ | UFA | ||||||
Nino Niederreiter ![]() | LW/RW | 33 | 4,250,000$ | 4,250,000$ | UFA | ||||||
Noah Hanifin ![]() | D | 28 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | UFA |
Shane Wright | C | 21 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
Tyler Seguin ![]() | C/RW | 33 | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kisakov | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Alexandre Doucet | C | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Andre Lee | LW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Arvid Holm | G | 27 | 800,000$ | 800,000$ | |||||||
Austin Rueschhoff | RW | 28 | 800,000$ | 800,000$ | |||||||
Brandon Gignac | C | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Calle Odelius | D | 21 | 815,000$ | 815,000$ | 815,000$ | RFA | |||||
Cam Dineen | D | 27 | 775,000$ | 775,000$ | |||||||
Domenick Fensore | D | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Dyllan Gill | D | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Filip Cederqvist | LW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Filip Johansson | D | 25 | 800,000$ | 800,000$ | |||||||
Hunter Jones | G | 25 | 900,000$ | 900,000$ | RFA | ||||||
Hunter McDonald | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
Isaac Belliveau | D | 22 | 875,000$ | 875,000$ | RFA | ||||||
Jackson Edward | D | 21 | 816,666$ | 816,666$ | 816,666$ | RFA | |||||
Jacob Bernard-Docker | D | 25 | 805,000$ | 805,000$ | |||||||
Joona Koppanen | C | 27 | 775,000$ | 775,000$ | |||||||
Justin Sourdif | C/RW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Karl Henriksson | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
Lian Bichsel | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Noah Gregor | C/LW | 27 | 850,000$ | 850,000$ | |||||||
Olivier Nadeau | RW | 22 | 836,667$ | 836,667$ | RFA | ||||||
Reece Vitelli | C | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ryan Gagnier | C | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ryan Mast | D | 22 | 830,556$ | 830,556$ | RFA | ||||||
Sahil Panwar | LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Sawyer Boulton | C/LW/RW | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Scott Morrow | D | 23 | 916,667$ | 916,667$ | RFA | ||||||
Scott Reedy | C | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Simon Lundmark | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Simon Pinard | C/LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Thomas Milic | G | 22 | 841,667$ | 841,667$ | 841,667$ | RFA | |||||
Zachary Sawchenko | G | 27 | 800,000$ | 800,000$ | 800,000$ | UFA |
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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 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 8 | 11 | 12 | 0 | 38 | 6 | 8 | 25 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 23 | 16 | 23 | 7 | 13 | 6 | 20.0% | 6.5% | 86.8% | 93.3 | Unlucky | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 2 | 0 | 0 | 0 | 27 | 9 | 10 | 8 | 0 | 22 | 10 | 2 | 14 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 23 | 16 | 25 | 6 | 10 | 5 | 100.0% | 7.4% | 100.0% | 107.4 | DULL | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 5 | 14 | 10 | 0 | 35 | 10 | 12 | 22 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 25 | 18 | 22 | 7 | 12 | 6 | 20.0% | 6.9% | 85.7% | 92.6 | Unlucky | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 32 | 9 | 10 | 13 | 0 | 46 | 15 | 18 | 29 | 5 | 1 | 20.00% | 9 | 3 | 66.67% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 19 | 12 | 27 | 7 | 13 | 6 | 66.7% | 9.4% | 91.3% | 100.7 | LUCKY | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 41 | 15 | 8 | 18 | 0 | 25 | 9 | 10 | 12 | 6 | 4 | 66.67% | 4 | 1 | 75.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 29 | 21 | 19 | 6 | 11 | 6 | 100.0% | 12.2% | 96.0% | 108.2 | LUCKY | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 41 | 12 | 16 | 13 | 0 | 37 | 10 | 4 | 28 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 24 | 16 | 24 | 7 | 11 | 6 | 0.0% | 4.9% | 89.2% | 94.1 | Unlucky | |
| 7 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 1 | 7 | 0 | 1 | 88 | 27 | 28 | 32 | 1 | 60 | 21 | 14 | 45 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 51 | 36 | 43 | 13 | 25 | 13 | 61.5% | 10.2% | 91.7% | 101.9 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 34 | 9 | 6 | 19 | 0 | 35 | 8 | 14 | 23 | 4 | 2 | 50.00% | 7 | 2 | 71.43% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 22 | 15 | 25 | 8 | 11 | 5 | 100.0% | 14.7% | 94.3% | 109.0 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 32 | 5 | 7 | 20 | 0 | 29 | 10 | 12 | 24 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 24 | 16 | 22 | 7 | 13 | 6 | 100.0% | 12.5% | 96.6% | 109.1 | LUCKY | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 27 | 10 | 10 | 7 | 0 | 28 | 15 | 16 | 20 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 21 | 14 | 26 | 7 | 11 | 5 | 40.0% | 11.1% | 85.7% | 96.8 | FUN | |
| 11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 1 | 1 | 54 | 9 | 16 | 27 | 2 | 25 | 8 | 2 | 17 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 26 | 19 | 20 | 7 | 12 | 6 | 57.1% | 7.4% | 88.0% | 95.4 | Unlucky | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 8 | 8 | 4 | 0 | 54 | 4 | 24 | 27 | 3 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 18 | 11 | 29 | 7 | 12 | 5 | 0.0% | 0.0% | 90.7% | 90.7 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 12 | 9 | 8 | 0 | 19 | 4 | 8 | 24 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 26 | 18 | 20 | 7 | 13 | 6 | 40.0% | 6.9% | 84.2% | 91.1 | Unlucky | |
| 14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 3 | 1 | 0 | 5 | 31 | 12 | 7 | 10 | 13 | 31 | 6 | 10 | 22 | 8 | 1 | 12.50% | 5 | 3 | 40.00% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 27 | 18 | 23 | 7 | 13 | 7 | 80.0% | 16.1% | 87.1% | 103.2 | FUN | |
| _Vs Division | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 19 | 16 | 3 | 6 | 0.500 | 19 | 34 | 53 | 0 | 1 | 8 | 10 | 0 | 1 | 203 | 67 | 67 | 68 | 1 | 175 | 65 | 58 | 132 | 23 | 3 | 13.04% | 27 | 4 | 85.19% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 143 | 99 | 142 | 43 | 74 | 37 | 57.1% | 9.4% | 90.9% | 100.2 | FUN | |
| _Vs Conference | 10 | 4 | 4 | 0 | 1 | 0 | 1 | 0 | 35 | 26 | 9 | 12 | 0.600 | 35 | 63 | 98 | 0 | 1 | 14 | 15 | 4 | 6 | 348 | 111 | 105 | 129 | 14 | 297 | 100 | 94 | 218 | 44 | 11 | 25.00% | 44 | 10 | 77.27% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 248 | 173 | 231 | 73 | 125 | 63 | 60.0% | 10.1% | 91.2% | 101.3 | LUCKY | |
| _Since Last GM Reset | 15 | 5 | 7 | 0 | 2 | 0 | 1 | 0 | 48 | 46 | 2 | 16 | 0.533 | 48 | 87 | 135 | 0 | 1 | 16 | 20 | 9 | 7 | 516 | 150 | 160 | 201 | 16 | 484 | 136 | 154 | 332 | 63 | 15 | 23.81% | 70 | 16 | 77.14% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 365 | 253 | 353 | 112 | 187 | 94 | 52.4% | 9.3% | 90.5% | 99.8 | FUN | |
| Total | 15 | 5 | 7 | 0 | 2 | 0 | 1 | 0 | 48 | 46 | 2 | 16 | 0.533 | 48 | 87 | 135 | 0 | 1 | 16 | 20 | 9 | 7 | 516 | 150 | 160 | 201 | 16 | 484 | 136 | 154 | 332 | 63 | 15 | 23.81% | 70 | 16 | 77.14% | 0 | 286 | 565 | 50.62% | 280 | 561 | 49.91% | 128 | 237 | 54.01% | 365 | 253 | 353 | 112 | 187 | 94 | 52.4% | 9.3% | 90.5% | 99.8 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 565 |
| Neutral Zone Start | 237 |
| Defensive Zone Start | 561 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 694 |
| Faceoffs Lost | 669 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 34.1 | 30.68 |
| Overtime | 35.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.5 | 2.83 |
| Even Strenght Goal | 33 |
|---|---|
| PP Goal | 15 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 5 |
| Lost | 5 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 63 |
|---|---|
| PP Goal | 15 |
| PK Attempt | 70 |
| PK Goal Against | 16 |
| Home | |
|---|---|
| Shots For | 34.4 |
| Shots Against | 32.3 |
| Goals For | 3.2 |
| Goals Against | 3.1 |
| Hits | 22.1 |
| Shots Blocked | 9.1 |
| Pim | 10.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Stars2,Jets3 | RECAP | |||||||||||
| 2025-10-12 | @ | Stars2,Avalanche0 | RECAP | |||||||||||
| 2025-10-15 | @ | Wild4,Stars3 | RECAP | |||||||||||
| 2025-10-17 | @ | Canucks1,Stars5 | RECAP | |||||||||||
| 2025-10-19 | @ | Stars3,Blues4 | RECAP | |||||||||||
| 2025-10-22 | @ | Blue Jackets5,Stars0 | RECAP | |||||||||||
| 2025-10-24 | @ | Kings4,Stars2 | RECAP | |||||||||||
| 2025-10-26 | @ | Hurricanes5,Stars2 | RECAP | |||||||||||
| 2025-10-27 | @ | Stars4,Predators3 (OT) | RECAP | |||||||||||
| 2025-10-29 | @ | Capitals5,Stars2 | RECAP | |||||||||||
| 2025-10-31 | @ | Stars5,Lightning2 | RECAP | |||||||||||
| 2025-11-02 | @ | Stars4,Panthers3 (OT) | RECAP | |||||||||||
| 2025-11-05 | @ | Oilers1,Stars4 | RECAP | |||||||||||
| 2025-11-07 | @ | Ducks4,Stars5 (SO) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 93,957,621$ | 0$ | 93,218,021$ | 1,542,379$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | American Airlines Center | |
| City | Dallas | ||
| 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 | 44207 | 38238 | 15186 | 30078 | 7432 |
| Attendance PCT | 92.10% | 95.60% | 94.91% | 93.99% | 92.90% |
| Income | |||||
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 33 | 16893 - 93.85% | 1,541,287$ | 12,330,294$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 93,957,621$ | 93,957,621$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 15,581,176$ | 489,363$ | 15,409,304$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 50,862,463$ | 159 | 494,571$ | 78,636,789$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 81,438,609$ | 93,957,621$ | 58,126,089$ | 27,549,943$ |
Rookie
Injured
Cold Streak
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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 |
|---|---|---|---|---|---|
| Artyom Galimov | 2020 | 186 | |||
| Brady Turko | 2025 | 223 | |||
| Danil Savunov | 2019 | 191 | |||
| Eric Ciccolini | 2019 | 214 | |||
| Hugo Styf | 2020 | 142 | |||
| Jacob Olofsson | 5.5 - 7.5 | ||||
| Kirill Kirsanov | 2021 | 56 | |||
| Kyle Aucoin | |||||
| Linus Sjodin | 2022 | 224 | |||
| Luke Ellinas | 2024 | 119 | |||
| Maksim Beryozkin | 2020 | 104 | |||
| Miroslav Holinka | 2024 | 176 | |||
| Nathan Quinn | 2025 | 171 | |||
| Noah Ellis | 2020 | 173 | |||
| Owen Beckner | 2023 | 217 | |||
| Parker Holmes | 2025 | 125 | |||
| Prohkor Poltapov | 2021 | 38 | |||
| Samuel Jonsson | 2022 | 172 | |||
| Semyon Vyazovoi | 2021 | 173 | |||
| Timur Mukhanov | 2023 | 125 | |||
| Tom Willander | 2023 | 20 |
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