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Full Scoreboard »» |
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Full Scoreboard »» |
Dallas Stars 13-9-3, 29pts · 5th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 99.00 | 59 | 33 | 66 | 94 | 82 | 84 | 90 | 85 | 89 | 84 | 85 | 65 | 85 | 60 | 57 | 0 | 46 | 91 | 20 | 925,000$/1yrs | |||
![]() | 0 | C | 99.00 | 64 | 33 | 91 | 88 | 79 | 86 | 84 | 78 | 73 | 74 | 86 | 68 | 82 | 57 | 56 | 0 | 55 | 87 | 18 | 950,000$/3yrs | |||
![]() | 0 | C | 100.00 | 64 | 36 | 86 | 77 | 89 | 85 | 85 | 75 | 80 | 80 | 74 | 67 | 75 | 78 | 86 | 0 | 46 | 86 | 31 | 7,142,858$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 67 | 34 | 86 | 75 | 86 | 80 | 90 | 77 | 62 | 76 | 80 | 67 | 79 | 78 | 77 | 0 | 46 | 85 | 31 | 4,250,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 33 | 93 | 74 | 77 | 86 | 89 | 76 | 60 | 77 | 79 | 67 | 77 | 76 | 76 | 0 | 43 | 85 | 30 | 5,350,000$/5yrs | |||
![]() | 0 | LW/RW | 99.00 | 58 | 33 | 94 | 75 | 84 | 83 | 88 | 75 | 60 | 74 | 78 | 72 | 76 | 77 | 77 | 0 | 46 | 84 | 31 | 4,750,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 43 | 66 | 73 | 87 | 84 | 87 | 72 | 60 | 69 | 78 | 75 | 75 | 75 | 71 | 0 | 39 | 84 | 29 | 5,500,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 66 | 33 | 91 | 76 | 76 | 85 | 90 | 74 | 61 | 78 | 72 | 69 | 73 | 81 | 80 | 0 | 46 | 84 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 36 | 84 | 68 | 84 | 80 | 83 | 70 | 80 | 72 | 71 | 83 | 70 | 82 | 80 | 0 | 46 | 83 | 33 | 1,750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 66 | 51 | 62 | 78 | 97 | 76 | 87 | 78 | 59 | 78 | 73 | 64 | 75 | 64 | 60 | 0 | 47 | 83 | 23 | 925,000$/2yrs | |||
![]() | 58 | C/LW | 100.00 | 63 | 31 | 81 | 69 | 64 | 72 | 90 | 76 | 55 | 66 | 83 | 62 | 79 | 71 | 69 | 0 | 46 | 81 | 27 | 850,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 32 | 89 | 67 | 72 | 79 | 85 | 67 | 82 | 72 | 66 | 84 | 67 | 74 | 73 | 0 | 46 | 81 | 29 | 2,250,000$/2yrs | |||
![]() | 0 | D | 99.00 | 62 | 33 | 84 | 75 | 76 | 87 | 90 | 73 | 30 | 84 | 72 | 71 | 73 | 79 | 77 | 0 | 46 | 88 | 31 | 5,000,000$/1yrs | |||
![]() | 19 | D | 99.00 | 81 | 38 | 80 | 65 | 80 | 89 | 89 | 71 | 30 | 73 | 61 | 88 | 66 | 76 | 74 | 0 | 46 | 85 | 30 | 4,000,000$/2yrs | |||
![]() | 42 | D | 99.00 | 71 | 41 | 67 | 65 | 90 | 90 | 87 | 69 | 30 | 72 | 63 | 88 | 66 | 77 | 81 | 0 | 46 | 85 | 31 | 3,800,000$/7yrs | |||
![]() | 0 | D | 100.00 | 82 | 34 | 87 | 61 | 90 | 89 | 73 | 66 | 30 | 72 | 63 | 81 | 65 | 84 | 82 | 0 | 46 | 83 | 34 | 5,850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 33 | 73 | 60 | 80 | 85 | 90 | 67 | 30 | 64 | 50 | 93 | 59 | 75 | 72 | 0 | 46 | 82 | 29 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 33 | 89 | 64 | 81 | 82 | 73 | 66 | 30 | 68 | 65 | 75 | 65 | 76 | 75 | 0 | 35 | 80 | 30 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 77 | 39 | 83 | 76 | 74 | 79 | 84 | 69 | 59 | 69 | 69 | 73 | 69 | 67 | 65 | 0 | 44 | 81 | 25 | 1,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 49 | 70 | 63 | 74 | 76 | 70 | 65 | 76 | 65 | 65 | 69 | 66 | 78 | 76 | 0 | 20 | 76 | 31 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 92 | 56 | 78 | 80 | 76 | 57 | 30 | 62 | 61 | 65 | 59 | 69 | 68 | 0 | 24 | 73 | 26 | 800,000$/1yrs | |||
TEAM AVERAGE | 99.67 | 69 | 36 | 82 | 71 | 81 | 83 | 85 | 72 | 56 | 73 | 71 | 74 | 71 | 74 | 73 | 0 | 43 | 83 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 97 | 94 | 81 | 71 | 97 | 84 | 97 | 96 | 93 | 94 | 97 | 77 | 82 | 0 | 40 | 93 | 30 | 5,000,000$/3yrs |
![]() | 0 | 99.00 | 78 | 84 | 76 | 87 | 81 | 77 | 83 | 90 | 81 | 91 | 83 | 70 | 74 | 0 | 47 | 86 | 27 | 2,750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 38 | 75 | 23 | 787,000$/1yrs |
![]() | 0 | 0.00 | 60 | 62 | 66 | 88 | 57 | 57 | 60 | 60 | 60 | 57 | 60 | 83 | 86 | 0 | 41 | 69 | 36 | 10,500,000$/3yrs |
TEAM AVERAGE | 74.00 | 76 | 76 | 73 | 82 | 76 | 73 | 78 | 79 | 77 | 79 | 78 | 74 | 77 | 0 | 42 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 79 | 87 | 90 | 83 | 82 | 74 | 87 | CAN | 55 | 1 | 1,000,000$ |
General Manager | Mathieu Cloutier |
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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 |
# | 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 | Mason McTavish | 0 | C/LW | 25 | 10 | 16 | 26 | 7 | 8 | 0 | 37 | 82 | 23 | 63 | 12.20% | 4 | 20.02 | 4 | 4 | 8 | 66 | 0 | 0 | 0 | 49 | 1 | 1 | 50.95% | 579 | 0 | 0 | 0 | 0 | 1.04 | 1 | 1 | |
2 | Jake McCabe | 19 | D | 25 | 5 | 15 | 20 | -2 | 38 | 0 | 60 | 37 | 14 | 25 | 13.51% | 47 | 23.34 | 2 | 5 | 7 | 77 | 0 | 0 | 0 | 78 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
3 | Nino Niederreiter | 0 | LW/RW | 25 | 3 | 15 | 18 | 5 | 12 | 0 | 59 | 45 | 15 | 46 | 6.67% | 0 | 16.32 | 3 | 5 | 8 | 73 | 0 | 0 | 0 | 0 | 0 | 0 | 27.27% | 33 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | |
4 | Michael Carcone | 58 | C/LW | 25 | 7 | 9 | 16 | 2 | 34 | 0 | 51 | 39 | 15 | 32 | 17.95% | 3 | 18.52 | 1 | 2 | 3 | 37 | 0 | 0 | 0 | 25 | 2 | 0 | 31.11% | 45 | 0 | 0 | 1 | 0 | 0.69 | 0 | 0 | |
5 | Brandon Saad | 0 | LW/RW | 25 | 8 | 6 | 14 | 3 | 4 | 0 | 11 | 78 | 19 | 38 | 10.26% | 7 | 20.54 | 0 | 2 | 2 | 64 | 0 | 0 | 0 | 101 | 1 | 0 | 36.84% | 57 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
6 | Kevin Hayes | 0 | C | 25 | 4 | 9 | 13 | -10 | 2 | 0 | 10 | 56 | 18 | 40 | 7.14% | 2 | 16.67 | 1 | 0 | 1 | 13 | 0 | 0 | 0 | 0 | 1 | 0 | 51.71% | 468 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
7 | Derek Grant | 0 | C/LW | 25 | 5 | 5 | 10 | 3 | 0 | 0 | 5 | 43 | 8 | 28 | 11.63% | 5 | 13.20 | 1 | 3 | 4 | 62 | 0 | 0 | 0 | 107 | 2 | 0 | 55.74% | 418 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | |
8 | Erik Gustafsson | 0 | D | 25 | 1 | 9 | 10 | 4 | 6 | 0 | 22 | 24 | 5 | 18 | 4.17% | 21 | 17.37 | 1 | 5 | 6 | 66 | 0 | 0 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
9 | Jake Muzzin | 0 | D | 25 | 3 | 7 | 10 | 7 | 24 | 0 | 42 | 27 | 7 | 16 | 11.11% | 41 | 19.08 | 1 | 1 | 2 | 62 | 0 | 0 | 0 | 84 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
10 | Rickard Rakell | 0 | C/LW/RW | 25 | 6 | 4 | 10 | -5 | 11 | 5 | 18 | 62 | 12 | 51 | 9.68% | 3 | 17.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 30 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
11 | Ilya Lyubushkin | 0 | D | 25 | 2 | 6 | 8 | -3 | 28 | 0 | 54 | 20 | 5 | 10 | 10.00% | 25 | 21.07 | 2 | 1 | 3 | 31 | 0 | 0 | 0 | 60 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
12 | Scott Mayfield | 42 | D | 25 | 3 | 5 | 8 | -3 | 14 | 0 | 53 | 20 | 6 | 18 | 15.00% | 41 | 22.90 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
13 | Josh Anderson | 0 | LW/RW | 25 | 3 | 3 | 6 | -5 | 27 | 5 | 31 | 20 | 5 | 14 | 15.00% | 2 | 6.98 | 1 | 1 | 2 | 18 | 0 | 0 | 0 | 1 | 0 | 1 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
14 | Noah Gregor | 0 | C/LW | 24 | 1 | 4 | 5 | -3 | 12 | 0 | 23 | 34 | 8 | 26 | 2.94% | 1 | 11.47 | 0 | 1 | 1 | 61 | 0 | 0 | 0 | 48 | 0 | 0 | 47.92% | 96 | 0 | 0 | 1 | 0 | 0.36 | 0 | 1 | |
15 | Kyle Palmieri | 0 | RW | 25 | 2 | 2 | 4 | -1 | 4 | 0 | 22 | 36 | 8 | 19 | 5.56% | 2 | 10.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 38.89% | 18 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
16 | Teddy Blueger | 0 | C/LW | 25 | 2 | 1 | 3 | -1 | 4 | 0 | 9 | 27 | 7 | 18 | 7.41% | 5 | 10.73 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 47.60% | 292 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
17 | Scott Harrington | 0 | D | 17 | 0 | 2 | 2 | 1 | 4 | 0 | 17 | 7 | 1 | 9 | 0.00% | 21 | 17.99 | 0 | 1 | 1 | 36 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
18 | Leo Carlsson | 0 | C | 1 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 5 | 0 | 3 | 0.00% | 0 | 18.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 2.15 | 0 | 0 | |
19 | Dmitri Voronkov | 0 | LW | 10 | 0 | 2 | 2 | 1 | 2 | 0 | 9 | 8 | 0 | 8 | 0.00% | 2 | 8.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
20 | Travis Dermott | 0 | D | 8 | 1 | 0 | 1 | -1 | 2 | 0 | 1 | 3 | 0 | 1 | 33.33% | 4 | 14.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
Team Total or Average | 435 | 66 | 122 | 188 | 0 | 236 | 10 | 535 | 673 | 176 | 483 | 9.81% | 236 | 16.47 | 17 | 32 | 49 | 688 | 0 | 0 | 0 | 693 | 13 | 3 | 49.86% | 2072 | 0 | 0 | 2 | 0 | 0.52 | 1 | 3 |
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 | Jordan Binnington | 22 | 9 | 9 | 4 | 0.911 | 2.64 | 1273 | 0 | 2 | 56 | 632 | 0 | 1 | 1 | 0.333 | 3 | 21 | 3 | 2 | 2 | 0 | |
2 | Kaapo Kahkonen | 13 | 6 | 6 | 0 | 0.908 | 2.76 | 740 | 2 | 2 | 34 | 368 | 0 | 0 | 1 | 0.000 | 0 | 13 | 12 | 3 | 0 | 0 | |
3 | Hunter Jones | 2 | 2 | 0 | 0 | 0.887 | 2.90 | 124 | 0 | 0 | 6 | 53 | 0 | 0 | 0 | 0.000 | 0 | 2 | 3 | 0 | 0 | 0 | |
Team Total or Average | 37 | 17 | 15 | 4 | 0.909 | 2.69 | 2138 | 2 | 4 | 96 | 1053 | 0 | 1 | 2 | 0.333 | 3 | 36 | 18 | 5 | 2 | 0 |
Projected Total Cap Hit | 76,139,812$ |
Projected Cap Space | 7,360,188$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,453,628$ |
Players In Salary Cap | 24 |
LTIR Players | 1 |
Stars Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Saad | LW/RW | 31 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Carey Price ![]() ![]() | G | 36 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | ||||
Derek Grant | C/LW | 33 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Dmitri Voronkov ![]() | LW | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Erik Gustafsson | D | 31 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Hunter Jones ![]() | G | 23 | 787,000$ | 787,000$ | RFA | ||||||
Ilya Lyubushkin | D | 29 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Jake McCabe | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Jake Muzzin | D | 34 | 5,850,000$ | 5,850,000$ | UFA | ||||||
Jordan Binnington | G | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Josh Anderson | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Kaapo Kahkonen | G | 27 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Kevin Hayes | C | 31 | 7,142,858$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | ||||
Kyle Palmieri | RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Leo Carlsson ![]() | C | 18 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Mason McTavish ![]() | C/LW | 20 | 925,000$ | 925,000$ | RFA | ||||||
Michael Carcone ![]() | C/LW | 27 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Nino Niederreiter | LW/RW | 31 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||||
Noah Gregor | C/LW | 25 | 1,300,000$ | 1,300,000$ | |||||||
Rickard Rakell | C/LW/RW | 30 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | ||
Ryan Dzingel | LW/RW | 31 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Scott Harrington ![]() | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Scott Mayfield | D | 31 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA |
Teddy Blueger | C/LW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Travis Dermott ![]() | D | 26 | 800,000$ | 800,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Alexander Kisakov ![]() | LW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Alexei Kosolov ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Andre Lee ![]() | LW | 23 | 883,000$ | 883,000$ | RFA | ||||||
Austin Rueschhoff ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Brandon Fortunato ![]() | D | 27 | 0$ | UFA | |||||||
Brandon Gignac ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Cam Dineen ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cameron Hughes ![]() | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Chaz Lucius ![]() | C | 20 | 775,000$ | 775,000$ | RFA | ||||||
Colt Conrad ![]() | C | 26 | 0$ | UFA | |||||||
Filip Cederqvist ![]() | LW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Gerald Mayhew ![]() | C/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Isaac Belliveau ![]() | D | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Jakub Lauko ![]() | C | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ![]() | ||||
James Malatesta ![]() | LW | 20 | 841,667$ | 841,667$ | 841,667$ | 841,667$ | RFA | ||||
Jermaine Loewen ![]() | RW | 25 | 0$ | ![]() | |||||||
Joel Kiviranta ![]() | LW/RW | 27 | 0$ | UFA | |||||||
Joona Koppanen ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Justin Sourdif ![]() | C/RW | 21 | 847,500$ | 847,500$ | 847,500$ | RFA | |||||
Karl Henriksson ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Lian Bichsel ![]() | D | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Linus Olund ![]() | C | 26 | 0$ | UFA | |||||||
Lukas Reichel ![]() | C/LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Mark Friedman ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Markus Nurmi ![]() | LW/RW | 25 | 0$ | ![]() | |||||||
Max Veronneau ![]() | RW | 27 | 0$ | UFA | |||||||
Mitchell Balmas ![]() | C | 25 | 0$ | ![]() | |||||||
Mitchell Stephens ![]() | C | 26 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Nathan Walker ![]() | LW | 29 | 825,000$ | 825,000$ | UFA | ||||||
Nolan Allan ![]() | D | 20 | 847,500$ | 847,500$ | 847,500$ | RFA | |||||
Olivier Nadeau ![]() | RW | 20 | 836,667$ | 836,667$ | 836,667$ | 836,667$ | RFA | ||||
Reid Duke ![]() | C/RW | 27 | 0$ | UFA | |||||||
Sam Miletic ![]() | LW | 26 | 0$ | UFA | |||||||
Scott Reedy ![]() | C | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Shane Wright ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Simon Lundmark ![]() | D | 23 | 850,333$ | 850,333$ | RFA | ||||||
Zachary Sawchenko ![]() | G | 25 | 775,000$ | 775,000$ | ![]() |
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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 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 25 | 38 | 0 | 0 | 1 | 7 | 4 | 1 | 90 | 23 | 28 | 35 | 4 | 101 | 32 | 24 | 71 | 8 | 3 | 37.50% | 12 | 1 | 91.67% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 70 | 48 | 76 | 22 | 37 | 17 | 62.5% | 14.4% | 93.1% | 107.5 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 37 | 10 | 19 | 8 | 0 | 18 | 8 | 6 | 24 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 25 | 17 | 23 | 7 | 11 | 5 | 100.0% | 5.4% | 100.0% | 105.4 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 20 | 6 | 5 | 9 | 0 | 25 | 11 | 4 | 21 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 23 | 15 | 23 | 7 | 13 | 7 | 66.7% | 20.0% | 92.0% | 112.0 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 35 | 10 | 11 | 14 | 0 | 31 | 8 | 14 | 17 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 25 | 19 | 23 | 6 | 10 | 5 | 66.7% | 8.6% | 93.5% | 102.1 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 35 | 11 | 11 | 13 | 0 | 26 | 11 | 7 | 23 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 23 | 16 | 25 | 7 | 11 | 5 | 50.0% | 11.4% | 92.3% | 103.7 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 12 | 12 | 6 | 2 | 41 | 16 | 27 | 27 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 23 | 16 | 28 | 7 | 12 | 5 | 44.4% | 12.5% | 87.8% | 100.3 | FUN | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 37 | 14 | 14 | 9 | 0 | 34 | 11 | 10 | 22 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 21 | 13 | 25 | 7 | 13 | 6 | 50.0% | 8.1% | 88.2% | 96.3 | Unlucky | |
8 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 56 | 16 | 22 | 14 | 7 | 67 | 21 | 18 | 29 | 10 | 1 | 10.00% | 9 | 2 | 77.78% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 47 | 31 | 50 | 16 | 26 | 12 | 40.0% | 5.4% | 92.5% | 97.9 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 24 | 6 | 8 | 10 | 0 | 20 | 8 | 6 | 19 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 22 | 15 | 25 | 8 | 12 | 5 | 71.4% | 20.8% | 85.0% | 105.8 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 40 | 11 | 14 | 15 | 0 | 21 | 9 | 4 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 23 | 15 | 23 | 8 | 13 | 6 | 57.1% | 12.5% | 85.7% | 98.2 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 7 | 8 | 2 | 0 | 40 | 12 | 12 | 24 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 21 | 14 | 25 | 7 | 12 | 6 | 16.7% | 5.9% | 82.5% | 88.4 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 2 | 16 | 9 | 0 | 22 | 9 | 8 | 23 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 24 | 16 | 22 | 7 | 13 | 6 | 50.0% | 3.7% | 90.9% | 94.6 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 29 | 12 | 6 | 11 | 0 | 20 | 2 | 4 | 21 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 26 | 19 | 20 | 6 | 13 | 6 | 66.7% | 17.2% | 95.0% | 112.2 | LUCKY | |
14 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 35 | 10 | 9 | 12 | 4 | 91 | 29 | 28 | 39 | 3 | 1 | 33.33% | 13 | 2 | 84.62% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 37 | 23 | 60 | 15 | 24 | 11 | 42.9% | 11.4% | 93.4% | 104.8 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 1 | 0 | 2 | 1 | 2 | 0 | 63 | 22 | 17 | 24 | 0 | 51 | 14 | 24 | 39 | 10 | 1 | 10.00% | 12 | 3 | 75.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 49 | 32 | 46 | 15 | 24 | 11 | 57.1% | 7.9% | 88.2% | 96.2 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 13 | 9 | 9 | 0 | 41 | 9 | 12 | 32 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 22 | 16 | 25 | 7 | 11 | 5 | 66.7% | 6.5% | 97.6% | 104.0 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 2 | 0 | 1 | 0 | 23 | 5 | 12 | 6 | 0 | 26 | 4 | 6 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 21 | 14 | 24 | 7 | 13 | 6 | 100.0% | 13.0% | 100.0% | 113.0 | LUCKY | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 11 | 5 | 4 | 0 | 29 | 11 | 12 | 16 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 20 | 14 | 27 | 7 | 11 | 5 | 0.0% | 5.0% | 89.7% | 94.7 | Unlucky | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 45 | 18 | 15 | 12 | 0 | 58 | 12 | 12 | 42 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 43 | 29 | 49 | 15 | 26 | 12 | 0.0% | 2.2% | 84.5% | 86.7 | Unlucky | |
_Vs Division | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 23 | -4 | 7 | 0.583 | 19 | 37 | 56 | 1 | 0 | 8 | 5 | 6 | 0 | 172 | 58 | 56 | 56 | 2 | 178 | 62 | 71 | 134 | 23 | 4 | 17.39% | 27 | 6 | 77.78% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 140 | 94 | 147 | 45 | 76 | 37 | 46.9% | 11.0% | 87.1% | 98.1 | FUN | |
_Vs Conference | 14 | 7 | 5 | 0 | 1 | 1 | 0 | 0 | 43 | 47 | -4 | 17 | 0.607 | 43 | 81 | 124 | 1 | 0 | 12 | 16 | 14 | 1 | 399 | 132 | 130 | 131 | 6 | 432 | 134 | 135 | 320 | 46 | 8 | 17.39% | 58 | 10 | 82.76% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 321 | 218 | 350 | 106 | 178 | 85 | 48.6% | 10.8% | 89.1% | 99.9 | FUN | |
_Since Last GM Reset | 25 | 12 | 9 | 0 | 1 | 2 | 0 | 1 | 69 | 68 | 1 | 29 | 0.580 | 69 | 125 | 194 | 2 | 2 | 19 | 26 | 23 | 2 | 696 | 219 | 241 | 222 | 17 | 762 | 237 | 238 | 535 | 91 | 18 | 19.78% | 103 | 17 | 83.50% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 573 | 390 | 629 | 187 | 314 | 152 | 50.0% | 9.9% | 91.1% | 101.0 | Unlucky | |
Total | 25 | 12 | 9 | 0 | 1 | 2 | 0 | 1 | 69 | 68 | 1 | 29 | 0.580 | 69 | 125 | 194 | 2 | 2 | 19 | 26 | 23 | 2 | 696 | 219 | 241 | 222 | 17 | 762 | 237 | 238 | 535 | 91 | 18 | 19.78% | 103 | 17 | 83.50% | 0 | 418 | 835 | 50.06% | 424 | 868 | 48.85% | 199 | 377 | 52.79% | 573 | 390 | 629 | 187 | 314 | 152 | 50.0% | 9.9% | 91.1% | 101.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 835 |
Neutral Zone Start | 377 |
Defensive Zone Start | 868 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1041 |
Faceoffs Lost | 1039 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 18.4 | 20.31 |
3rd Period | 27.3 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 49 |
---|---|
PP Goal | 18 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 6 | 7 |
Lost | 4 | 5 |
Overtime Lost | 1 | 2 |
PP Attempt | 91 |
---|---|
PP Goal | 18 |
PK Attempt | 103 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 27.8 |
Shots Against | 30.5 |
Goals For | 2.8 |
Goals Against | 2.7 |
Hits | 21.4 |
Shots Blocked | 9.5 |
Pim | 9.5 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-12 | @ | Blues3,Stars5 | RECAP | |||||||||||
2023-10-17 | @ | Stars0,Golden Knights5 | RECAP | |||||||||||
2023-10-19 | @ | Stars2,Ducks1 | RECAP | |||||||||||
2023-10-21 | @ | Flyers0,Stars2 | RECAP | |||||||||||
2023-10-24 | @ | Stars1,Penguins3 | RECAP | |||||||||||
2023-10-26 | @ | Maple Leafs0,Stars3 | RECAP | |||||||||||
2023-10-30 | @ | Blue Jackets3,Stars2 | RECAP | |||||||||||
2023-11-01 | @ | Stars4,Flames3 (OT) | RECAP | |||||||||||
2023-11-02 | @ | Stars5,Oilers3 | RECAP | |||||||||||
2023-11-04 | @ | Stars3,Canucks4 | RECAP | |||||||||||
2023-11-06 | @ | Bruins2,Stars1 | RECAP | |||||||||||
2023-11-09 | @ | Stars2,Blue Jackets3 (OT) | RECAP | |||||||||||
2023-11-11 | @ | Stars3,Jets2 | RECAP | |||||||||||
2023-11-12 | @ | Stars4,Wild5 (OT) | RECAP | |||||||||||
2023-11-14 | @ | Coyotes7,Stars1 | RECAP | |||||||||||
2023-11-18 | @ | Avalanche2,Stars4 | RECAP | |||||||||||
2023-11-20 | @ | Rangers2,Stars3 | RECAP | |||||||||||
2023-11-22 | @ | Golden Knights4,Stars1 | RECAP | |||||||||||
2023-11-24 | @ | Flames2,Stars5 | RECAP | |||||||||||
2023-11-28 | @ | Stars2,Jets4 | RECAP | |||||||||||
2023-11-30 | @ | Stars4,Flames2 | RECAP | |||||||||||
2023-12-02 | @ | Lightning1,Stars0 (SO) | RECAP | |||||||||||
2023-12-04 | @ | Stars3,Lightning4 | RECAP | |||||||||||
2023-12-06 | @ | Stars5,Panthers1 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,179,857$ | 0$ | 76,139,812$ | 8,320,143$ |
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 | 63028 | 52206 | 20382 | 39930 | 10345 |
Attendance PCT | 95.50% | 94.92% | 92.65% | 90.75% | 94.05% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 16899 - 93.88% | 1,501,793$ | 16,519,723$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,179,857$ | 75,179,858$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,766,118$ | 391,562$ | 24,453,628$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,053,790$ | 132 | 396,770$ | 52,373,640$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
54,362,730$ | 75,179,857$ | 42,365,285$ | 33,056,345$ |
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Priority | Type | Description |
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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. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Perevalov | 2022 | 37 | |||
Artem Grushnikov | 2021 | 75 | |||
Artyom Galimov | 2020 | 186 | |||
Aydar Suniev | 2023 | 82 | |||
Daniil Orlov | 2022 | 127 | |||
Danil Savunov | 2019 | 191 | |||
Domenick Fensore | 2019 | 95 | |||
Dyllan Gill | 2022 | 223 | |||
Eric Ciccolini | 2019 | 214 | |||
Filip Johansson | 5.0 - 7.0 | ||||
Fraser Minten | 2022 | 68 | |||
Hugo Styf | 2020 | 142 | |||
Hunter McDonald | 2022 | 192 | |||
Jackson Edward | 2022 | 219 | |||
Jacob Olofsson | 5.5 - 7.5 | ||||
Kirill Kirsanov | 2021 | 56 | |||
Kyle Aucoin | |||||
Linus Sjodin | 2022 | 224 | |||
Maksim Beryozkin | 2020 | 104 | |||
Mathias Bau | |||||
Noah Ellis | 2020 | 173 | |||
Owen Beckner | 2023 | 217 | |||
Prohkor Poltapov | 2021 | 38 | |||
Ryan Mast | 2021 | 178 | |||
Samuel Jonsson | 2022 | 172 | |||
Semyon Vyazovoi | 2021 | 173 | |||
Thomas Milic | 2021 | 169 | |||
Timur Mukhanov | 2023 | 125 | |||
Tom Willander | 2023 | 20 | |||
Topias Leinonen | 2022 | 70 |
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