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Full Scoreboard »» |
| Dallas Stars 30-27-2, 62pts · 11th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dylan Larkin | 0 | C/LW | 100.00 | 61 | 33 | 76 | 79 | 78 | 88 | 90 | 77 | 93 | 73 | 86 | 71 | 81 | 75 | 84 | 0 | 25 | 87 | 29 | 8,500,000$/5yrs | |||
Leo Carlsson (A) | 91 | C | 100.00 | 54 | 39 | 77 | 86 | 79 | 87 | 90 | 79 | 85 | 83 | 83 | 67 | 81 | 60 | 58 | 0 | 67 | 87 | 21 | 950,000$/1yrs | |||
Adrian Kempe | 9 | C/LW/RW | 100.00 | 74 | 33 | 81 | 79 | 80 | 87 | 90 | 74 | 60 | 76 | 80 | 66 | 77 | 75 | 73 | 0 | 65 | 85 | 29 | 6,500,000$/4yrs | |||
Tyler Seguin | 19 | C/RW | 100.00 | 61 | 33 | 95 | 74 | 80 | 82 | 75 | 72 | 81 | 75 | 77 | 56 | 74 | 82 | 82 | 0 | 61 | 83 | 34 | 9,850,000$/2yrs | |||
Alex Wennberg | 21 | C/LW | 100.00 | 58 | 33 | 91 | 69 | 76 | 88 | 90 | 70 | 85 | 76 | 67 | 86 | 68 | 78 | 77 | 0 | 62 | 82 | 31 | 3,750,000$/3yrs | |||
Jared McCann | 16 | C/LW | 100.00 | 63 | 35 | 91 | 75 | 76 | 83 | 85 | 71 | 73 | 74 | 74 | 70 | 73 | 75 | 74 | 0 | 64 | 82 | 29 | 5,500,000$/3yrs | |||
Mats Zuccarello | 63 | LW/RW | 100.00 | 60 | 32 | 89 | 71 | 66 | 87 | 84 | 70 | 60 | 78 | 71 | 60 | 71 | 90 | 89 | 0 | 44 | 82 | 38 | 6,750,000$/1yrs | |||
JJ Peterka | 0 | LW/RW | 100.00 | 59 | 32 | 84 | 80 | 74 | 84 | 90 | 71 | 58 | 75 | 78 | 51 | 74 | 65 | 63 | 0 | 59 | 82 | 24 | 7,325,000$/6yrs | |||
Jamie Benn | 0 | C/LW | 100.00 | 73 | 41 | 71 | 67 | 81 | 79 | 86 | 67 | 80 | 73 | 70 | 61 | 69 | 87 | 99 | 0 | 75 | 81 | 36 | 2,250,000$/3yrs | |||
Anthony Mantha | 39 | LW/RW | 100.00 | 63 | 44 | 82 | 73 | 95 | 80 | 76 | 67 | 57 | 69 | 76 | 58 | 71 | 78 | 76 | 0 | 49 | 80 | 31 | 3,500,000$/2yrs | |||
Blake Coleman | 20 | LW/RW | 100.00 | 82 | 35 | 82 | 67 | 76 | 84 | 90 | 63 | 60 | 66 | 69 | 80 | 66 | 83 | 81 | 0 | 53 | 80 | 34 | 5,500,000$/4yrs | |||
Conor Garland | 8 | LW/RW | 100.00 | 64 | 47 | 80 | 72 | 63 | 87 | 87 | 68 | 58 | 75 | 59 | 71 | 69 | 75 | 73 | 0 | 63 | 78 | 29 | 4,950,000$/1yrs | |||
Jaccob Slavin (C) | 74 | D | 100.00 | 57 | 33 | 96 | 61 | 83 | 90 | 83 | 64 | 30 | 66 | 59 | 84 | 61 | 79 | 78 | 0 | 66 | 79 | 31 | 6,395,955$/6yrs | |||
Noah Hanifin | 15 | D | 99.00 | 61 | 33 | 93 | 66 | 83 | 91 | 88 | 60 | 30 | 72 | 63 | 66 | 61 | 74 | 73 | 0 | 68 | 79 | 29 | 7,350,000$/7yrs | |||
Brenden Dillon | 0 | D | 100.00 | 83 | 51 | 72 | 55 | 90 | 85 | 90 | 59 | 30 | 63 | 56 | 75 | 58 | 84 | 81 | 0 | 48 | 76 | 35 | 2,250,000$/3yrs | |||
Brian Dumoulin | 2 | D | 100.00 | 65 | 33 | 92 | 56 | 84 | 87 | 90 | 60 | 30 | 65 | 54 | 72 | 57 | 83 | 82 | 0 | 63 | 76 | 34 | 3,150,000$/2yrs | |||
Ben Chiarot | 0 | D | 100.00 | 77 | 36 | 69 | 55 | 92 | 90 | 90 | 56 | 30 | 58 | 58 | 77 | 57 | 83 | 80 | 0 | 35 | 75 | 34 | 4,750,000$/1yrs | |||
Connor Clifton | 75 | D | 100.00 | 90 | 35 | 78 | 55 | 73 | 81 | 84 | 58 | 30 | 62 | 52 | 78 | 55 | 76 | 74 | 0 | 62 | 75 | 30 | 2,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.94 | 67 | 37 | 83 | 69 | 79 | 86 | 87 | 67 | 57 | 71 | 68 | 69 | 68 | 78 | 78 | 0 | 57 | 81 | |||||||
| 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 | 99.00 | 79 | 92 | 80 | 81 | 85 | 76 | 86 | 93 | 84 | 94 | 86 | 90 | 94 | 0 | 48 | 90 | 38 | 2,250,000$/1yrs |
Anthony Stolarz | 0 | 100.00 | 79 | 82 | 75 | 99 | 87 | 75 | 87 | 90 | 85 | 92 | 87 | 79 | 83 | 0 | 53 | 89 | 32 | 3,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 79 | 87 | 78 | 90 | 86 | 76 | 87 | 92 | 85 | 93 | 87 | 85 | 89 | 0 | 51 | 90 | |||
| 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 | 59 | 22 | 36 | 58 | 18 | 50 | 0 | 156 | 251 | 68 | 201 | 8.76% | 8 | 22.18 | 6 | 9 | 15 | 208 | 0 | 1 | 1 | 142 | 5 | 1 | 38.94% | 398 | 0 | 0 | 0 | 1 | 0.89 | 0 | 3 | |
| 2 | Leo Carlsson | 91 | C | 59 | 20 | 26 | 46 | 15 | 23 | 5 | 68 | 243 | 73 | 172 | 8.23% | 3 | 18.38 | 3 | 4 | 7 | 200 | 0 | 0 | 0 | 0 | 4 | 3 | 50.70% | 1434 | 0 | 0 | 0 | 1 | 0.85 | 0 | 2 | |
| 3 | Jared McCann | 16 | C/LW | 59 | 16 | 27 | 43 | -13 | 16 | 0 | 54 | 182 | 62 | 147 | 8.79% | 11 | 20.53 | 3 | 14 | 17 | 209 | 1 | 0 | 1 | 179 | 2 | 1 | 54.43% | 79 | 0 | 0 | 0 | 0 | 0.71 | 1 | 2 | |
| 4 | Tyler Seguin | 19 | C/RW | 59 | 21 | 20 | 41 | -9 | 22 | 0 | 63 | 164 | 50 | 129 | 12.80% | 16 | 17.78 | 10 | 9 | 19 | 200 | 0 | 0 | 0 | 109 | 6 | 2 | 52.73% | 660 | 0 | 0 | 0 | 0 | 0.78 | 1 | 3 | |
| 5 | Dylan Larkin | 0 | C/LW | 60 | 20 | 19 | 39 | -3 | 16 | 0 | 70 | 196 | 52 | 150 | 10.20% | 7 | 19.94 | 4 | 6 | 10 | 194 | 1 | 0 | 1 | 80 | 3 | 0 | 54.23% | 1549 | 0 | 0 | 0 | 0 | 0.65 | 0 | 2 | |
| 6 | Mats Zuccarello | 63 | LW/RW | 59 | 12 | 26 | 38 | 15 | 10 | 0 | 24 | 129 | 30 | 101 | 9.30% | 3 | 18.02 | 2 | 5 | 7 | 159 | 0 | 0 | 0 | 8 | 1 | 1 | 42.35% | 85 | 0 | 0 | 0 | 0 | 0.71 | 1 | 1 | |
| 7 | Connor Clifton | 75 | D | 59 | 6 | 28 | 34 | 0 | 74 | 0 | 155 | 64 | 29 | 47 | 9.38% | 97 | 20.71 | 2 | 10 | 12 | 180 | 0 | 1 | 1 | 161 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 8 | Jaccob Slavin | 74 | D | 59 | 9 | 22 | 31 | -5 | 26 | 0 | 61 | 107 | 36 | 82 | 8.41% | 100 | 24.85 | 4 | 5 | 9 | 221 | 0 | 1 | 1 | 168 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 9 | JJ Peterka | 0 | LW/RW | 59 | 16 | 15 | 31 | 1 | 8 | 0 | 46 | 137 | 40 | 82 | 11.68% | 2 | 16.72 | 5 | 4 | 9 | 145 | 0 | 0 | 0 | 0 | 4 | 3 | 32.39% | 71 | 0 | 0 | 0 | 0 | 0.63 | 0 | 1 | |
| 10 | Noah Hanifin | 15 | D | 59 | 4 | 20 | 24 | -10 | 58 | 0 | 118 | 83 | 30 | 64 | 4.82% | 72 | 25.15 | 2 | 5 | 7 | 222 | 0 | 0 | 0 | 185 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.32 | 0 | 0 | |
| 11 | Ben Chiarot | 0 | D | 58 | 4 | 18 | 22 | -11 | 44 | 0 | 122 | 70 | 23 | 49 | 5.71% | 91 | 22.55 | 1 | 5 | 6 | 145 | 0 | 0 | 0 | 156 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 12 | Jamie Benn | 0 | C/LW | 58 | 9 | 10 | 19 | -9 | 18 | 10 | 58 | 75 | 34 | 59 | 12.00% | 7 | 10.53 | 2 | 0 | 2 | 45 | 1 | 1 | 2 | 41 | 1 | 0 | 51.21% | 453 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 13 | Alex Wennberg | 21 | C/LW | 59 | 6 | 11 | 17 | -3 | 6 | 0 | 14 | 102 | 30 | 76 | 5.88% | 16 | 11.63 | 0 | 0 | 0 | 10 | 1 | 0 | 1 | 129 | 1 | 0 | 54.37% | 756 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 14 | Conor Garland | 8 | LW/RW | 59 | 9 | 8 | 17 | -7 | 4 | 0 | 43 | 94 | 23 | 76 | 9.57% | 4 | 12.03 | 2 | 1 | 3 | 123 | 0 | 0 | 0 | 58 | 3 | 0 | 42.22% | 90 | 0 | 0 | 0 | 0 | 0.48 | 0 | 1 | |
| 15 | Brenden Dillon | 0 | D | 56 | 5 | 11 | 16 | 8 | 82 | 10 | 146 | 37 | 10 | 28 | 13.51% | 60 | 17.06 | 1 | 0 | 1 | 41 | 0 | 1 | 1 | 83 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 16 | Blake Coleman | 20 | LW/RW | 60 | 6 | 9 | 15 | -7 | 27 | 5 | 68 | 97 | 37 | 56 | 6.19% | 7 | 10.36 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 127 | 0 | 1 | 35.19% | 54 | 0 | 0 | 0 | 0 | 0.48 | 1 | 2 | |
| 17 | Anthony Mantha | 39 | LW/RW | 59 | 7 | 6 | 13 | -10 | 16 | 0 | 29 | 91 | 26 | 70 | 7.69% | 9 | 10.75 | 2 | 1 | 3 | 50 | 0 | 0 | 0 | 7 | 0 | 1 | 43.14% | 51 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | |
| 18 | Brian Dumoulin | 2 | D | 59 | 6 | 7 | 13 | -9 | 30 | 0 | 43 | 38 | 11 | 22 | 15.79% | 56 | 16.59 | 2 | 0 | 2 | 51 | 0 | 0 | 0 | 131 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| Team Total or Average | 1059 | 198 | 319 | 517 | -39 | 530 | 30 | 1338 | 2160 | 664 | 1611 | 9.17% | 569 | 17.54 | 51 | 78 | 129 | 2412 | 4 | 5 | 9 | 1771 | 35 | 15 | 50.95% | 5680 | 0 | 0 | 1 | 2 | 0.56 | 4 | 18 |
| 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 | 45 | 24 | 14 | 3 | 0.912 | 2.60 | 2564 | 4 | 1 | 111 | 1259 | 0 | 0 | 3 | 0.706 | 17 | 42 | 16 | 5 | 1 | 1 | |
| 2 | Anthony Stolarz | 25 | 11 | 13 | 0 | 0.914 | 2.70 | 1266 | 4 | 3 | 57 | 663 | 0 | 0 | 2 | 0.000 | 0 | 22 | 36 | 6 | 0 | 1 | |
| Team Total or Average | 70 | 35 | 27 | 3 | 0.913 | 2.63 | 3830 | 8 | 4 | 168 | 1922 | 0 | 0 | 5 | 0.706 | 17 | 64 | 52 | 11 | 1 | 2 |
| Projected Total Cap Hit | 95,470,479$ |
| Projected Cap Space | 29,521$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 71,610,412$ |
| Players In Salary Cap | 20 |
| 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 | ||||
Anthony Mantha ![]() | LW/RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
| Anthony Stolarz | G | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Ben Chiarot ![]() | D | 34 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Blake Coleman ![]() | LW/RW | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Brenden Dillon ![]() | D | 35 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 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 | ||||||
Dylan Larkin ![]() | C/LW | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||
JJ Peterka ![]() | LW/RW | 24 | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 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 | |
Jamie Benn ![]() | C/LW | 36 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Jared McCann ![]() | C/LW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Leo Carlsson | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
Mats Zuccarello ![]() | LW/RW | 38 | 6,750,000$ | 6,750,000$ | UFA | ||||||
Noah Hanifin ![]() | D | 29 | 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 |
Tyler Seguin ![]() | C/RW | 34 | 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 | 24 | 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 | 23 | 875,000$ | 875,000$ | RFA | ||||||
Jackson Edward | D | 22 | 816,666$ | 816,666$ | 816,666$ | RFA | |||||
Jacob Bernard-Docker | D | 25 | 805,000$ | 805,000$ | |||||||
Joona Koppanen | C | 28 | 775,000$ | 775,000$ | |||||||
Karl Henriksson | C | 25 | 800,000$ | 800,000$ | RFA | ||||||
Kirill Kirsanov | D | 23 | 0$ | RFA | |||||||
Lian Bichsel | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Michael Carcone | C/LW | 29 | 850,000$ | 850,000$ | UFA | ||||||
Noah Gregor | C/LW | 27 | 850,000$ | 850,000$ | |||||||
Olivier Nadeau | RW | 23 | 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 | 23 | 830,556$ | 830,556$ | RFA | ||||||
Sahil Panwar | LW | 24 | 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 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 | 28 | 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 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 2 | 0 | 1 | 1 | 38 | 6 | 11 | 17 | 7 | 35 | 10 | 10 | 22 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 23 | 15 | 26 | 7 | 14 | 6 | 50.0% | 10.5% | 91.4% | 102.0 | LUCKY | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 5 | 3 | 4 | 0 | 16 | 10 | 10 | 14 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 19 | 13 | 28 | 8 | 12 | 5 | 33.3% | 8.3% | 87.5% | 95.8 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 22 | 4 | 8 | 10 | 0 | 30 | 11 | 8 | 19 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 23 | 15 | 24 | 7 | 12 | 6 | 100.0% | 13.6% | 96.7% | 110.3 | LUCKY | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 11 | 17 | 2 | 0 | 4 | 1 | 1 | 0 | 74 | 30 | 21 | 23 | 0 | 71 | 14 | 27 | 40 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 51 | 37 | 43 | 14 | 24 | 11 | 33.3% | 8.1% | 85.9% | 94.0 | Unlucky | |
| 5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 37 | 14 | 12 | 11 | 0 | 34 | 13 | 10 | 24 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 26 | 19 | 24 | 6 | 10 | 5 | 50.0% | 10.8% | 85.3% | 96.1 | FUN | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 54 | 16 | 18 | 20 | 0 | 61 | 21 | 12 | 54 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 45 | 31 | 49 | 15 | 25 | 11 | 12.5% | 3.7% | 86.9% | 90.6 | Unlucky | |
| 7 | 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 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 23 | 16 | 25 | 6 | 10 | 5 | 100.0% | 7.4% | 100.0% | 107.4 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 31 | 8 | 8 | 15 | 0 | 27 | 8 | 6 | 19 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 24 | 17 | 23 | 6 | 12 | 6 | 75.0% | 12.9% | 92.6% | 105.5 | LUCKY | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 11 | 8 | 8 | 0 | 33 | 2 | 8 | 27 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 20 | 14 | 27 | 7 | 11 | 5 | 33.3% | 7.4% | 81.8% | 89.2 | Unlucky | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 2 | 0 | 2 | 1 | 1 | 0 | 65 | 21 | 21 | 23 | 0 | 52 | 23 | 16 | 52 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 50 | 35 | 43 | 13 | 25 | 12 | 33.3% | 6.2% | 84.6% | 90.8 | Unlucky | |
| 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 64 | 20 | 28 | 16 | 0 | 80 | 29 | 24 | 42 | 8 | 1 | 12.50% | 10 | 3 | 70.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 49 | 35 | 47 | 14 | 23 | 10 | 30.8% | 7.8% | 85.0% | 92.8 | Unlucky | |
| 12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 6 | 1 | 0 | 0 | 60 | 22 | 12 | 26 | 0 | 68 | 24 | 26 | 54 | 12 | 4 | 33.33% | 13 | 3 | 76.92% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 43 | 28 | 49 | 15 | 26 | 12 | 50.0% | 11.7% | 91.2% | 102.8 | LUCKY | |
| 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 2 | 3 | 0 | 77 | 27 | 15 | 35 | 0 | 63 | 16 | 20 | 29 | 10 | 5 | 50.00% | 9 | 2 | 77.78% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 54 | 39 | 42 | 13 | 22 | 12 | 75.0% | 10.4% | 95.2% | 105.6 | LUCKY | |
| 14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 106 | 33 | 42 | 31 | 0 | 108 | 29 | 12 | 73 | 14 | 4 | 28.57% | 6 | 1 | 83.33% | 1 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 71 | 50 | 71 | 21 | 36 | 18 | 25.0% | 6.6% | 90.7% | 97.3 | Unlucky | |
| 15 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 1.000 | 13 | 22 | 35 | 0 | 0 | 3 | 7 | 2 | 1 | 112 | 33 | 36 | 42 | 1 | 88 | 25 | 24 | 64 | 11 | 2 | 18.18% | 10 | 1 | 90.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 75 | 53 | 67 | 20 | 38 | 19 | 68.8% | 11.6% | 93.2% | 104.8 | LUCKY | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 2 | 3 | 0 | 69 | 19 | 19 | 31 | 0 | 60 | 12 | 29 | 40 | 7 | 3 | 42.86% | 12 | 2 | 83.33% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 48 | 32 | 47 | 15 | 24 | 12 | 100.0% | 10.1% | 96.7% | 106.8 | LUCKY | |
| 17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 62 | 15 | 16 | 31 | 0 | 62 | 26 | 18 | 51 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 46 | 31 | 47 | 16 | 26 | 12 | 85.7% | 11.3% | 96.8% | 108.1 | LUCKY | |
| 18 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | -6 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 3 | 7 | 0 | 0 | 107 | 33 | 40 | 34 | 0 | 131 | 41 | 38 | 86 | 16 | 2 | 12.50% | 19 | 3 | 84.21% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 85 | 59 | 108 | 28 | 45 | 22 | 38.1% | 9.3% | 87.8% | 97.1 | FUN | |
| 19 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 1 | 0.167 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 3 | 0 | 95 | 35 | 26 | 31 | 6 | 113 | 36 | 24 | 50 | 9 | 1 | 11.11% | 11 | 0 | 100.00% | 1 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 74 | 50 | 72 | 21 | 38 | 19 | 27.3% | 4.2% | 92.9% | 97.1 | DULL | |
| 20 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 27 | 5 | 13 | 8 | 1 | 46 | 11 | 6 | 21 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 21 | 14 | 27 | 6 | 12 | 6 | 60.0% | 11.1% | 95.7% | 106.8 | LUCKY | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 39 | 7 | 15 | 17 | 0 | 24 | 6 | 4 | 26 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 26 | 19 | 22 | 6 | 11 | 6 | 50.0% | 7.7% | 95.8% | 103.5 | DULL | |
| 22 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 0 | 5 | 1 | 1 | 62 | 16 | 22 | 23 | 1 | 89 | 27 | 26 | 47 | 4 | 1 | 25.00% | 11 | 1 | 90.91% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 43 | 30 | 54 | 15 | 23 | 10 | 46.2% | 11.3% | 91.0% | 102.3 | FUN | |
| 23 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 0 | 3 | 3 | 1 | 106 | 25 | 35 | 44 | 2 | 38 | 12 | 4 | 36 | 12 | 2 | 16.67% | 2 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 57 | 41 | 37 | 14 | 25 | 14 | 55.6% | 6.6% | 89.5% | 96.1 | Unlucky | |
| 24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 53 | 12 | 26 | 15 | 0 | 76 | 19 | 30 | 45 | 9 | 1 | 11.11% | 14 | 2 | 85.71% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 40 | 25 | 53 | 16 | 26 | 12 | 50.0% | 9.4% | 92.1% | 101.5 | LUCKY | |
| 25 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.333 | 10 | 20 | 30 | 0 | 0 | 6 | 2 | 2 | 0 | 106 | 39 | 34 | 33 | 0 | 79 | 20 | 26 | 63 | 10 | 1 | 10.00% | 12 | 4 | 66.67% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 73 | 51 | 68 | 21 | 38 | 19 | 64.3% | 9.4% | 88.6% | 98.0 | FUN | |
| 26 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 13 | 22 | 1 | 0 | 4 | 4 | 0 | 5 | 87 | 32 | 25 | 28 | 13 | 85 | 20 | 27 | 64 | 16 | 1 | 6.25% | 9 | 3 | 66.67% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 74 | 49 | 70 | 23 | 40 | 21 | 57.1% | 10.3% | 89.4% | 99.8 | FUN | |
| 27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 0 | 4 | 0 | 36 | 16 | 7 | 13 | 0 | 26 | 8 | 4 | 31 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 24 | 16 | 23 | 7 | 12 | 6 | 40.0% | 11.1% | 76.9% | 88.0 | FUN | |
| 28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 39 | 16 | 13 | 10 | 0 | 41 | 6 | 12 | 27 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 24 | 16 | 23 | 7 | 11 | 6 | 66.7% | 5.1% | 97.6% | 102.7 | DULL | |
| 29 | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 1 | 2 | 109 | 29 | 36 | 42 | 2 | 72 | 26 | 18 | 56 | 16 | 1 | 6.25% | 8 | 1 | 87.50% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 83 | 60 | 64 | 21 | 38 | 19 | 50.0% | 5.5% | 91.7% | 97.2 | DULL | |
| 30 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 26 | 6 | 4 | 22 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 25 | 18 | 22 | 7 | 12 | 5 | 20.0% | 7.1% | 84.6% | 91.8 | Unlucky | |
| 31 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 14 | 21 | 0 | 1 | 2 | 2 | 3 | 0 | 121 | 42 | 39 | 40 | 0 | 71 | 20 | 26 | 63 | 16 | 3 | 18.75% | 13 | 1 | 92.31% | 0 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 82 | 57 | 59 | 22 | 38 | 19 | 44.4% | 5.8% | 91.5% | 97.3 | DULL | |
| _Vs Division | 18 | 6 | 9 | 0 | 2 | 0 | 0 | 1 | 53 | 53 | 0 | 17 | 0.472 | 53 | 95 | 148 | 0 | 1 | 20 | 23 | 8 | 2 | 569 | 187 | 180 | 197 | 8 | 590 | 183 | 166 | 378 | 65 | 11 | 16.92% | 77 | 12 | 84.42% | 1 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 418 | 290 | 446 | 129 | 221 | 109 | 50.6% | 9.3% | 91.0% | 100.3 | FUN | |
| _Vs Conference | 36 | 14 | 15 | 0 | 4 | 0 | 2 | 1 | 103 | 96 | 7 | 41 | 0.569 | 103 | 186 | 289 | 1 | 2 | 40 | 37 | 20 | 10 | 1197 | 384 | 372 | 428 | 30 | 1112 | 336 | 301 | 758 | 150 | 28 | 18.67% | 138 | 21 | 84.78% | 2 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 878 | 611 | 853 | 264 | 451 | 225 | 50.0% | 8.6% | 91.4% | 100.0 | DULL | |
| _Since Last GM Reset | 59 | 22 | 27 | 0 | 6 | 1 | 2 | 1 | 165 | 172 | -7 | 62 | 0.525 | 165 | 298 | 463 | 5 | 3 | 55 | 53 | 49 | 12 | 1952 | 613 | 627 | 696 | 33 | 1827 | 541 | 511 | 1275 | 238 | 42 | 17.65% | 228 | 38 | 83.33% | 2 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 1433 | 998 | 1400 | 433 | 732 | 364 | 47.9% | 8.5% | 90.6% | 99.0 | Unlucky | |
| Total | 59 | 22 | 27 | 0 | 6 | 1 | 2 | 1 | 165 | 172 | -7 | 62 | 0.525 | 165 | 298 | 463 | 5 | 3 | 55 | 53 | 49 | 12 | 1952 | 613 | 627 | 696 | 33 | 1827 | 541 | 511 | 1275 | 238 | 42 | 17.65% | 228 | 38 | 83.33% | 2 | 1146 | 2223 | 51.55% | 1053 | 2061 | 51.09% | 478 | 921 | 51.90% | 1433 | 998 | 1400 | 433 | 732 | 364 | 47.9% | 8.5% | 90.6% | 99.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2223 |
| Neutral Zone Start | 921 |
| Defensive Zone Start | 2061 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2677 |
| Faceoffs Lost | 2528 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.4 | 9.57 |
| 2nd Period | 21.0 | 20.31 |
| 3rd Period | 32.8 | 30.68 |
| Overtime | 33.4 | 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 | 2.7 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 116 |
|---|---|
| PP Goal | 42 |
| PK Goal | 2 |
| Empty Net Goal | 5 |
| Home | Away | |
|---|---|---|
| Win | 11 | 19 |
| Lost | 16 | 11 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 238 |
|---|---|
| PP Goal | 42 |
| PK Attempt | 228 |
| PK Goal Against | 38 |
| Home | |
|---|---|
| Shots For | 33.1 |
| Shots Against | 31.0 |
| Goals For | 2.8 |
| Goals Against | 2.9 |
| Hits | 21.6 |
| Shots Blocked | 9.2 |
| Pim | 8.7 |
| 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 | |||||||||||
| 2025-11-09 | @ | Stars5,Predators2 | RECAP | |||||||||||
| 2025-11-10 | @ | Kraken1,Stars3 | RECAP | |||||||||||
| 2025-11-12 | @ | Stars4,Senators6 | RECAP | |||||||||||
| 2025-11-14 | @ | Stars2,Canadiens4 | RECAP | |||||||||||
| 2025-11-16 | @ | Flyers2,Stars1 | RECAP | |||||||||||
| 2025-11-19 | @ | Islanders5,Stars4 (OT) | RECAP | |||||||||||
| 2025-11-21 | @ | Stars3,Canucks2 | RECAP | |||||||||||
| 2025-11-23 | @ | Stars4,Flames3 (SO) | RECAP | |||||||||||
| 2025-11-26 | @ | Stars3,Oilers1 | RECAP | |||||||||||
| 2025-11-27 | @ | Stars3,Kraken0 | RECAP | |||||||||||
| 2025-11-29 | @ | Mammoth2,Stars1 | RECAP | |||||||||||
| 2025-12-01 | @ | Senators4,Stars2 | RECAP | |||||||||||
| 2025-12-03 | @ | Stars4,Rangers2 | RECAP | |||||||||||
| 2025-12-04 | @ | Stars3,Devils1 | RECAP | |||||||||||
| 2025-12-06 | @ | Sharks2,Stars3 (OT) | RECAP | |||||||||||
| 2025-12-08 | @ | Penguins1,Stars2 | RECAP | |||||||||||
| 2025-12-10 | @ | Stars6,Jets3 | RECAP | |||||||||||
| 2025-12-12 | @ | Stars4,Wild2 | RECAP | |||||||||||
| 2025-12-14 | @ | Panthers1,Stars3 | RECAP | |||||||||||
| 2025-12-16 | @ | Kings4,Stars2 | RECAP | |||||||||||
| 2025-12-19 | @ | Stars2,Sharks1 (OT) | RECAP | |||||||||||
| 2025-12-20 | @ | Stars3,Ducks2 | RECAP | |||||||||||
| 2025-12-22 | @ | Maple Leafs6,Stars4 | RECAP | |||||||||||
| 2025-12-24 | @ | Stars2,Red Wings6 | RECAP | |||||||||||
| 2025-12-28 | @ | Blackhawks5,Stars3 | RECAP | |||||||||||
| 2026-01-01 | @ | Sabres1,Stars3 | RECAP | |||||||||||
| 2026-01-02 | @ | Stars4,Blackhawks3 (OT) | RECAP | |||||||||||
| 2026-01-05 | @ | Canadiens4,Stars2 | RECAP | |||||||||||
| 2026-01-07 | @ | Stars0,Hurricanes3 | RECAP | |||||||||||
| 2026-01-08 | @ | Stars3,Capitals7 | RECAP | |||||||||||
| 2026-01-11 | @ | Stars1,Sharks3 | RECAP | |||||||||||
| 2026-01-13 | @ | Stars3,Kings2 | RECAP | |||||||||||
| 2026-01-14 | @ | Stars1,Ducks3 | RECAP | |||||||||||
| 2026-01-16 | @ | Stars2,Mammoth4 | RECAP | |||||||||||
| 2026-01-19 | @ | Lightning0,Stars2 | RECAP | |||||||||||
| 2026-01-21 | @ | Bruins2,Stars3 (OT) | RECAP | |||||||||||
| 2026-01-23 | @ | Stars5,Blue Jackets1 | RECAP | |||||||||||
| 2026-01-24 | @ | Blues7,Stars2 | RECAP | |||||||||||
| 2026-01-28 | @ | Stars3,Blues1 | RECAP | |||||||||||
| 2026-01-30 | @ | Stars2,Golden Knights4 | RECAP | |||||||||||
| 2026-02-01 | @ | Stars1,Mammoth2 (SO) | RECAP | |||||||||||
| 2026-02-03 | @ | Jets3,Stars2 | RECAP | |||||||||||
| 2026-02-05 | @ | Blues4,Stars2 | RECAP | |||||||||||
| 2026-02-26 | @ | Kraken5,Stars1 | RECAP | |||||||||||
| 2026-03-01 | @ | Predators1,Stars4 | RECAP | |||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-17 | @ | |||||||||||||
| 2026-03-19 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
| 2026-03-23 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-03-30 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 97,470,955$ | 0$ | 95,470,479$ | -1,970,955$ |
| 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 | 159156 | 133119 | 52283 | 106197 | 25819 |
| Attendance PCT | 94.74% | 95.09% | 93.36% | 94.82% | 92.21% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 13 | 17021 - 94.56% | 1,557,742$ | 43,616,784$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 97,470,955$ | 97,470,955$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 72,365,653$ | 507,661$ | 71,610,412$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 20,250,650$ | 47 | 512,870$ | 24,104,890$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 24,753,510$ | 97,470,955$ | 30,503,704$ | 26,000,844$ |
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 |
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| 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 | ||||
| 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 |
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