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Full Scoreboard »» |
Dallas Stars 29-30-7, 65pts · 10th 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/RW | 97.00 | 73 | 35 | 73 | 79 | 80 | 87 | 90 | 78 | 58 | 75 | 82 | 69 | 80 | 72 | 70 | 0 | 44 | 86 | 28 | 6,500,000$/5yrs | |||
![]() | 0 | C/RW | 99.00 | 56 | 33 | 96 | 78 | 80 | 82 | 86 | 75 | 81 | 75 | 82 | 59 | 78 | 81 | 80 | 0 | 24 | 85 | 33 | 9,850,000$/3yrs | |||
![]() | 19 | C/LW | 100.00 | 59 | 33 | 96 | 76 | 76 | 85 | 90 | 72 | 60 | 75 | 77 | 72 | 74 | 73 | 73 | 0 | 41 | 84 | 28 | 5,500,000$/4yrs | |||
![]() | 21 | RW | 99.00 | 64 | 33 | 84 | 70 | 76 | 87 | 90 | 74 | 60 | 72 | 77 | 62 | 76 | 82 | 81 | 0 | 41 | 82 | 34 | 5,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 37 | 85 | 71 | 83 | 81 | 87 | 68 | 81 | 73 | 67 | 73 | 67 | 71 | 70 | 0 | 75 | 80 | 28 | 3,000,000$/3yrs | |||
![]() | 20 | LW/RW | 99.00 | 57 | 33 | 92 | 70 | 84 | 82 | 89 | 68 | 60 | 65 | 74 | 63 | 71 | 79 | 78 | 0 | 41 | 79 | 32 | 4,750,000$/2yrs | |||
![]() | 62 | LW/RW | 100.00 | 82 | 34 | 84 | 67 | 86 | 80 | 90 | 67 | 59 | 63 | 77 | 60 | 72 | 79 | 78 | 0 | 41 | 79 | 32 | 4,250,000$/2yrs | |||
![]() | 23 | C/LW | 99.00 | 65 | 33 | 70 | 74 | 82 | 82 | 87 | 70 | 81 | 70 | 71 | 61 | 71 | 61 | 58 | 0 | 41 | 79 | 22 | 894,167$/1yrs | |||
![]() | 91 | C | 100.00 | 59 | 33 | 89 | 75 | 79 | 86 | 74 | 67 | 75 | 69 | 69 | 64 | 68 | 57 | 56 | 0 | 41 | 78 | 20 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 37 | 82 | 61 | 69 | 80 | 87 | 64 | 60 | 64 | 65 | 79 | 64 | 72 | 70 | 0 | 41 | 76 | 28 | 1,050,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 32 | 83 | 68 | 74 | 81 | 77 | 64 | 58 | 65 | 65 | 73 | 64 | 67 | 65 | 0 | 24 | 76 | 25 | 2,100,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 39 | 86 | 62 | 74 | 76 | 84 | 60 | 60 | 58 | 63 | 64 | 62 | 68 | 67 | 0 | 20 | 73 | 26 | 850,000$/2yrs | |||
![]() | 0 | D | 99.00 | 65 | 35 | 87 | 69 | 83 | 94 | 90 | 69 | 30 | 73 | 64 | 81 | 66 | 72 | 70 | 0 | 45 | 83 | 28 | 7,350,000$/8yrs | |||
![]() | 74 | D | 99.00 | 62 | 33 | 96 | 65 | 83 | 91 | 89 | 69 | 30 | 69 | 60 | 85 | 64 | 76 | 87 | 0 | 42 | 82 | 30 | 5,300,000$/7yrs | |||
![]() | 78 | D | 100.00 | 62 | 33 | 80 | 67 | 81 | 91 | 80 | 61 | 30 | 64 | 66 | 86 | 64 | 76 | 74 | 0 | 41 | 80 | 30 | 5,750,000$/5yrs | |||
![]() | 42 | D | 99.00 | 72 | 38 | 67 | 56 | 90 | 89 | 84 | 62 | 30 | 63 | 57 | 83 | 59 | 79 | 84 | 0 | 44 | 78 | 32 | 3,800,000$/6yrs | |||
![]() | 0 | D | 99.00 | 70 | 33 | 92 | 55 | 84 | 87 | 90 | 62 | 30 | 64 | 56 | 73 | 59 | 80 | 80 | 0 | 37 | 76 | 33 | 3,150,000$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 36 | 88 | 55 | 74 | 82 | 88 | 58 | 30 | 60 | 57 | 74 | 58 | 65 | 64 | 0 | 50 | 73 | 24 | 805,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 74 | 39 | 79 | 58 | 77 | 78 | 84 | 61 | 74 | 64 | 60 | 70 | 61 | 65 | 63 | 0 | 20 | 73 | 24 | 1,400,000$/1yrs | |||
TEAM AVERAGE | 99.42 | 67 | 35 | 85 | 67 | 80 | 84 | 86 | 67 | 55 | 67 | 68 | 71 | 67 | 72 | 72 | 0 | 40 | 79 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 87 | 95 | 83 | 80 | 89 | 80 | 90 | 91 | 90 | 91 | 90 | 74 | 79 | 0 | 33 | 91 | 29 | 5,500,000$/2yrs |
![]() | 36 | 100.00 | 70 | 85 | 77 | 87 | 74 | 72 | 78 | 84 | 80 | 83 | 78 | 72 | 76 | 0 | 43 | 83 | 28 | 2,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 0.00 | 60 | 62 | 66 | 88 | 57 | 57 | 60 | 60 | 60 | 57 | 60 | 83 | 86 | 0 | 40 | 69 | 37 | 10,500,000$/2yrs |
TEAM AVERAGE | 65.67 | 72 | 81 | 75 | 85 | 73 | 70 | 76 | 78 | 77 | 77 | 76 | 76 | 80 | 0 | 39 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Spencer Carbery | 86 | 84 | 80 | 94 | 61 | 57 | 85 | CAN | 43 | 5 | 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 | Adrian Kempe | 0 | C/LW/RW | 66 | 26 | 27 | 53 | -7 | 65 | 15 | 194 | 265 | 68 | 219 | 9.81% | 16 | 21.88 | 9 | 8 | 17 | 219 | 0 | 2 | 2 | 199 | 5 | 1 | 40.17% | 473 | 0 | 0 | 1 | 0 | 0.73 | 0 | 2 | |
2 | Jaccob Slavin | 74 | D | 66 | 9 | 38 | 47 | -17 | 31 | 5 | 65 | 108 | 34 | 88 | 8.33% | 108 | 24.10 | 5 | 11 | 16 | 235 | 0 | 0 | 0 | 223 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
3 | Noah Hanifin | 0 | D | 66 | 8 | 34 | 42 | -11 | 68 | 10 | 127 | 112 | 38 | 82 | 7.14% | 119 | 23.88 | 6 | 13 | 19 | 197 | 0 | 2 | 2 | 211 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
4 | Brandon Saad | 20 | LW/RW | 66 | 17 | 23 | 40 | -2 | 12 | 0 | 27 | 145 | 46 | 112 | 11.72% | 14 | 19.21 | 4 | 15 | 19 | 209 | 2 | 0 | 2 | 288 | 4 | 3 | 49.24% | 132 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
5 | Scott Mayfield | 42 | D | 66 | 12 | 28 | 40 | -6 | 61 | 5 | 123 | 116 | 18 | 52 | 10.34% | 81 | 21.69 | 7 | 8 | 15 | 196 | 0 | 0 | 0 | 193 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
6 | Mason McTavish | 23 | C/LW | 66 | 16 | 23 | 39 | -1 | 43 | 5 | 116 | 153 | 38 | 122 | 10.46% | 6 | 19.58 | 10 | 5 | 15 | 222 | 0 | 0 | 0 | 125 | 0 | 2 | 50.78% | 1475 | 0 | 0 | 0 | 0 | 0.60 | 0 | 3 | |
7 | Tyler Seguin | 0 | C/RW | 66 | 15 | 23 | 38 | -13 | 10 | 0 | 40 | 200 | 49 | 145 | 7.50% | 15 | 19.39 | 4 | 9 | 13 | 201 | 0 | 0 | 0 | 113 | 2 | 0 | 50.98% | 1426 | 0 | 0 | 1 | 0 | 0.59 | 0 | 0 | |
8 | Leo Carlsson | 91 | C | 66 | 11 | 26 | 37 | -3 | 12 | 0 | 30 | 137 | 48 | 110 | 8.03% | 8 | 13.92 | 3 | 13 | 16 | 184 | 0 | 0 | 0 | 0 | 2 | 0 | 47.77% | 1166 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
9 | Kyle Palmieri | 21 | RW | 66 | 15 | 20 | 35 | -3 | 28 | 0 | 73 | 159 | 46 | 140 | 9.43% | 6 | 14.44 | 0 | 5 | 5 | 76 | 0 | 0 | 0 | 0 | 2 | 2 | 51.85% | 81 | 0 | 0 | 0 | 0 | 0.73 | 0 | 3 | |
10 | Jared McCann | 19 | C/LW | 65 | 19 | 13 | 32 | -8 | 10 | 0 | 30 | 185 | 32 | 118 | 10.27% | 10 | 18.99 | 3 | 2 | 5 | 152 | 0 | 0 | 0 | 82 | 4 | 2 | 40.08% | 257 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
11 | Nicolas Roy | 0 | C/RW | 66 | 12 | 16 | 28 | 14 | 8 | 0 | 32 | 139 | 33 | 79 | 8.63% | 10 | 11.08 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 29 | 3 | 1 | 48.04% | 102 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
12 | Damon Severson | 78 | D | 66 | 3 | 19 | 22 | -9 | 40 | 0 | 55 | 46 | 14 | 46 | 6.52% | 52 | 13.87 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 26 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
13 | Brian Dumoulin | 0 | D | 66 | 4 | 15 | 19 | -1 | 71 | 5 | 77 | 28 | 8 | 31 | 14.29% | 63 | 16.09 | 1 | 1 | 2 | 38 | 0 | 0 | 0 | 119 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
14 | Logan O'Connor | 0 | LW/RW | 66 | 5 | 8 | 13 | -6 | 18 | 0 | 23 | 58 | 22 | 52 | 8.62% | 6 | 7.65 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 44.12% | 34 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
15 | Nino Niederreiter | 62 | LW/RW | 66 | 6 | 7 | 13 | -4 | 34 | 0 | 104 | 74 | 28 | 76 | 8.11% | 7 | 10.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 42 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
16 | Alexandre Texier | 0 | C/LW/RW | 55 | 4 | 8 | 12 | -15 | 6 | 0 | 17 | 63 | 16 | 53 | 6.35% | 10 | 10.96 | 0 | 1 | 1 | 24 | 0 | 0 | 0 | 76 | 0 | 0 | 40.66% | 455 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
17 | Ty Dellandrea | 0 | C/RW | 43 | 2 | 6 | 8 | -7 | 28 | 10 | 61 | 39 | 10 | 35 | 5.13% | 2 | 13.17 | 0 | 0 | 0 | 94 | 0 | 0 | 0 | 3 | 0 | 1 | 51.11% | 90 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
18 | Jacob Bernard-Docker | 0 | D | 13 | 2 | 1 | 3 | 4 | 2 | 0 | 20 | 5 | 3 | 6 | 40.00% | 19 | 14.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
19 | Noah Gregor | 0 | C/LW | 12 | 0 | 2 | 2 | 2 | 6 | 0 | 14 | 5 | 2 | 0 | 0.00% | 0 | 7.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
Team Total or Average | 1112 | 186 | 337 | 523 | -93 | 553 | 55 | 1228 | 2037 | 553 | 1566 | 9.13% | 552 | 16.47 | 52 | 92 | 144 | 2066 | 2 | 4 | 6 | 1709 | 31 | 14 | 47.79% | 5744 | 0 | 0 | 2 | 0 | 0.57 | 0 | 8 |
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 | Ilya Sorokin | 44 | 18 | 18 | 6 | 0.901 | 3.14 | 2427 | 4 | 0 | 127 | 1284 | 0 | 0 | 3 | 0.692 | 13 | 42 | 23 | 2 | 3 | 5 | |
2 | Kaapo Kahkonen | 31 | 13 | 9 | 2 | 0.914 | 2.69 | 1561 | 0 | 2 | 70 | 818 | 0 | 0 | 1 | 0.667 | 3 | 25 | 39 | 3 | 1 | 3 | |
Team Total or Average | 75 | 31 | 27 | 8 | 0.906 | 2.96 | 3989 | 4 | 2 | 197 | 2102 | 0 | 0 | 4 | 0.688 | 16 | 67 | 62 | 5 | 4 | 8 |
Projected Total Cap Hit | 80,471,157$ |
Projected Cap Space | 7,528,843$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 67,450,869$ |
Players In Salary Cap | 21 |
LTIR Players | 1 |
Stars Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | C/LW/RW | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Alexandre Texier ![]() | C/LW/RW | 25 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Brandon Saad ![]() | LW/RW | 32 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Brian Dumoulin ![]() | D | 33 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||
Carey Price ![]() ![]() | G | 37 | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||||
Damon Severson ![]() | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Ilya Sorokin | G | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Jaccob Slavin ![]() | D | 30 | 5,300,000$ | 5,300,000$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | 6,395,955$ | UFA |
Jacob Bernard-Docker ![]() | D | 24 | 805,000$ | 805,000$ | 805,000$ | ||||||
Jared McCann ![]() | C/LW | 28 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Kaapo Kahkonen | G | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Kyle Palmieri ![]() | RW | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Leo Carlsson ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Logan O'Connor ![]() | LW/RW | 28 | 1,050,000$ | 1,050,000$ | UFA | ||||||
Mason McTavish ![]() | C/LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Nicolas Roy ![]() | C/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Nino Niederreiter ![]() | LW/RW | 32 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Noah Gregor ![]() | C/LW | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
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$ | 7,350,000$ |
Scott Mayfield ![]() | D | 32 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |
Ty Dellandrea ![]() | C/RW | 24 | 1,400,000$ | 1,400,000$ | RFA | ||||||
Tyler Seguin ![]() | C/RW | 33 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kisakov ![]() | LW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Alexei Kolosov ![]() | G | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Andre Lee ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Arvid Holm ![]() | G | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Austin Rueschhoff ![]() ![]() | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Brandon Fortunato ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Brandon Gignac ![]() | C | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Cam Dineen ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Cameron Hughes ![]() | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colt Conrad ![]() | C | 27 | 0$ | UFA | |||||||
Domenick Fensore ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Filip Cederqvist ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Filip Johansson ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Hunter Jones ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Hunter McDonald ![]() | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
Isaac Belliveau ![]() | D | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Jermaine Loewen ![]() | RW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Joona Koppanen ![]() | C | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Justin Sourdif ![]() | C/RW | 23 | 847,500$ | 847,500$ | RFA | ||||||
Karl Henriksson ![]() | C | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Lian Bichsel ![]() | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Markus Nurmi ![]() | LW/RW | 26 | 0$ | ![]() | |||||||
Michael Carcone ![]() | C/LW | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Mitchell Balmas ![]() | C | 27 | 0$ | ![]() | |||||||
Mitchell Stephens ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Olivier Nadeau ![]() | RW | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Scott Morrow ![]() | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Scott Reedy ![]() ![]() | C | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Shane Wright ![]() | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
Simon Lundmark ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Travis Dermott ![]() | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
Zachary Emond ![]() | G | 24 | 0$ | ![]() | |||||||
Zachary Sawchenko ![]() | G | 27 | 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 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 10 | -7 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 64 | 19 | 24 | 19 | 2 | 52 | 21 | 18 | 49 | 8 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 51 | 36 | 46 | 15 | 26 | 12 | 27.3% | 4.7% | 80.8% | 85.5 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 29 | 8 | 16 | 5 | 0 | 42 | 20 | 8 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 20 | 13 | 28 | 7 | 11 | 5 | 33.3% | 10.3% | 90.5% | 100.8 | FUN | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 60 | 28 | 21 | 11 | 0 | 51 | 18 | 29 | 48 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 51 | 36 | 43 | 13 | 25 | 12 | 57.1% | 8.3% | 94.1% | 102.5 | DULL | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | -9 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 72 | 24 | 30 | 18 | 0 | 79 | 19 | 20 | 47 | 8 | 2 | 25.00% | 9 | 3 | 66.67% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 53 | 39 | 43 | 13 | 22 | 11 | 21.4% | 6.9% | 82.3% | 89.2 | Unlucky | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 72 | 22 | 24 | 26 | 0 | 64 | 16 | 20 | 38 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 51 | 35 | 43 | 15 | 25 | 13 | 44.4% | 8.3% | 90.6% | 99.0 | Unlucky | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 0 | 4 | 0 | 60 | 21 | 12 | 27 | 0 | 67 | 27 | 26 | 54 | 9 | 3 | 33.33% | 12 | 4 | 66.67% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 45 | 30 | 49 | 14 | 24 | 12 | 33.3% | 8.3% | 88.1% | 96.4 | Unlucky | |
7 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 8 | 11 | -3 | 2 | 0.333 | 8 | 16 | 24 | 0 | 0 | 1 | 3 | 4 | 0 | 95 | 17 | 38 | 35 | 8 | 96 | 25 | 31 | 56 | 11 | 3 | 27.27% | 14 | 2 | 85.71% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 79 | 55 | 71 | 23 | 37 | 19 | 35.7% | 8.4% | 88.5% | 97.0 | Unlucky | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 56 | 18 | 18 | 14 | 8 | 57 | 14 | 18 | 33 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 53 | 38 | 46 | 14 | 24 | 12 | 50.0% | 8.9% | 91.2% | 100.2 | Unlucky | |
9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 9 | 6 | 9 | 0 | 25 | 6 | 12 | 20 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 25 | 15 | 24 | 8 | 14 | 6 | 33.3% | 4.2% | 92.0% | 96.2 | DULL | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 4 | 1.000 | 9 | 17 | 26 | 0 | 1 | 3 | 3 | 3 | 0 | 77 | 20 | 32 | 25 | 0 | 51 | 23 | 12 | 40 | 8 | 3 | 37.50% | 5 | 1 | 80.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 49 | 35 | 45 | 14 | 25 | 12 | 100.0% | 11.7% | 98.0% | 109.7 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 0 | 0.000 | 8 | 16 | 24 | 0 | 0 | 3 | 3 | 2 | 0 | 55 | 13 | 22 | 20 | 0 | 72 | 20 | 23 | 49 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 51 | 36 | 45 | 13 | 22 | 11 | 43.8% | 14.5% | 84.7% | 99.3 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 0 | 3 | 1 | 0 | 54 | 19 | 19 | 16 | 0 | 49 | 17 | 12 | 39 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 48 | 33 | 47 | 13 | 24 | 12 | 100.0% | 7.4% | 98.0% | 105.4 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 77 | 22 | 37 | 18 | 0 | 52 | 20 | 12 | 43 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 1 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 57 | 42 | 38 | 13 | 24 | 13 | 54.5% | 9.1% | 88.5% | 97.6 | FUN | |
14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 15 | -1 | 2 | 0.333 | 14 | 27 | 41 | 0 | 0 | 4 | 5 | 5 | 0 | 102 | 29 | 34 | 39 | 0 | 113 | 29 | 32 | 59 | 16 | 6 | 37.50% | 16 | 4 | 75.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 67 | 47 | 74 | 21 | 37 | 18 | 42.1% | 13.7% | 86.7% | 100.5 | FUN | |
15 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 4 | 1 | 1 | 62 | 27 | 25 | 9 | 1 | 64 | 24 | 43 | 48 | 7 | 1 | 14.29% | 14 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 48 | 32 | 46 | 15 | 25 | 12 | 58.3% | 12.9% | 92.2% | 105.1 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 41 | 11 | 16 | 14 | 0 | 38 | 19 | 10 | 27 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 21 | 14 | 25 | 8 | 13 | 6 | 100.0% | 12.2% | 94.7% | 106.9 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 71 | 28 | 24 | 19 | 0 | 58 | 11 | 8 | 51 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 49 | 34 | 46 | 14 | 24 | 12 | 45.5% | 8.5% | 89.7% | 98.1 | Unlucky | |
18 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 17 | 26 | 1 | 0 | 5 | 3 | 1 | 0 | 91 | 37 | 33 | 21 | 0 | 92 | 29 | 24 | 81 | 9 | 4 | 44.44% | 10 | 2 | 80.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 73 | 51 | 69 | 21 | 37 | 19 | 41.7% | 9.9% | 90.2% | 100.1 | FUN | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 2 | 1 | 5 | 0 | 74 | 24 | 21 | 29 | 0 | 107 | 36 | 41 | 56 | 13 | 1 | 7.69% | 18 | 3 | 83.33% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 63 | 42 | 77 | 23 | 39 | 18 | 46.7% | 10.8% | 89.7% | 100.5 | FUN | |
20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 68 | 28 | 17 | 23 | 0 | 66 | 13 | 14 | 53 | 7 | 3 | 42.86% | 7 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 44 | 31 | 49 | 15 | 25 | 12 | 42.9% | 8.8% | 93.9% | 102.8 | DULL | |
21 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 65 | 23 | 16 | 24 | 2 | 82 | 20 | 27 | 29 | 9 | 1 | 11.11% | 11 | 3 | 72.73% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 51 | 35 | 47 | 14 | 24 | 12 | 42.9% | 6.2% | 91.5% | 97.6 | DULL | |
22 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 4 | 0.500 | 12 | 22 | 34 | 1 | 0 | 5 | 5 | 2 | 0 | 132 | 47 | 44 | 41 | 0 | 129 | 32 | 51 | 90 | 21 | 5 | 23.81% | 22 | 3 | 86.36% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 98 | 66 | 92 | 29 | 48 | 24 | 43.8% | 9.1% | 90.7% | 99.8 | FUN | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 2 | 5 | 2 | 0 | 62 | 26 | 19 | 17 | 0 | 50 | 18 | 12 | 34 | 11 | 2 | 18.18% | 6 | 1 | 83.33% | 1 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 54 | 38 | 41 | 15 | 24 | 13 | 50.0% | 14.5% | 84.0% | 98.5 | FUN | |
24 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 71 | 21 | 21 | 24 | 8 | 80 | 19 | 10 | 39 | 11 | 2 | 18.18% | 5 | 3 | 40.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 54 | 39 | 44 | 14 | 26 | 13 | 22.2% | 5.6% | 87.5% | 93.1 | Unlucky | |
25 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 82 | 28 | 33 | 21 | 0 | 78 | 31 | 29 | 55 | 7 | 1 | 14.29% | 12 | 4 | 66.67% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 72 | 48 | 68 | 22 | 39 | 19 | 50.0% | 9.8% | 85.9% | 95.7 | FUN | |
26 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 51 | 15 | 18 | 16 | 2 | 74 | 22 | 20 | 37 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 43 | 28 | 53 | 15 | 26 | 12 | 50.0% | 5.9% | 95.9% | 101.8 | DULL | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 54 | 19 | 16 | 19 | 0 | 76 | 16 | 14 | 40 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 50 | 36 | 45 | 14 | 24 | 11 | 40.0% | 7.4% | 92.1% | 99.5 | DULL | |
28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 33 | 9 | 15 | 9 | 0 | 33 | 8 | 12 | 12 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 23 | 16 | 24 | 7 | 11 | 6 | 50.0% | 12.1% | 93.9% | 106.1 | LUCKY | |
29 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 12 | 18 | 1 | 0 | 3 | 1 | 2 | 0 | 84 | 32 | 20 | 32 | 0 | 87 | 21 | 26 | 52 | 13 | 2 | 15.38% | 13 | 1 | 92.31% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 73 | 50 | 70 | 21 | 36 | 17 | 36.4% | 7.1% | 90.8% | 97.9 | Unlucky | |
30 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 5 | 3 | 2 | 0 | 93 | 39 | 29 | 25 | 0 | 85 | 16 | 27 | 56 | 9 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 77 | 55 | 67 | 20 | 35 | 18 | 58.8% | 10.8% | 89.4% | 100.2 | FUN | |
31 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 25 | 8 | 11 | 6 | 0 | 47 | 15 | 25 | 20 | 3 | 2 | 66.67% | 6 | 1 | 83.33% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 17 | 10 | 29 | 8 | 13 | 5 | 66.7% | 16.0% | 95.7% | 111.7 | LUCKY | |
_Vs Division | 20 | 9 | 8 | 0 | 1 | 1 | 0 | 1 | 57 | 60 | -3 | 22 | 0.550 | 57 | 105 | 162 | 2 | 1 | 19 | 22 | 15 | 1 | 590 | 199 | 213 | 172 | 9 | 615 | 194 | 231 | 425 | 75 | 17 | 22.67% | 96 | 15 | 84.38% | 0 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 484 | 330 | 473 | 149 | 251 | 126 | 47.1% | 9.7% | 90.2% | 99.9 | FUN | |
_Vs Conference | 38 | 16 | 17 | 0 | 2 | 2 | 0 | 1 | 110 | 119 | -9 | 39 | 0.513 | 110 | 208 | 318 | 3 | 1 | 38 | 39 | 31 | 2 | 1157 | 391 | 410 | 346 | 13 | 1183 | 349 | 399 | 792 | 149 | 30 | 20.13% | 166 | 27 | 83.73% | 1 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 922 | 636 | 899 | 279 | 475 | 237 | 46.5% | 9.5% | 89.9% | 99.4 | FUN | |
_Since Last GM Reset | 66 | 27 | 30 | 0 | 2 | 4 | 0 | 3 | 193 | 212 | -19 | 65 | 0.492 | 193 | 357 | 550 | 3 | 2 | 67 | 70 | 54 | 2 | 2056 | 691 | 711 | 631 | 31 | 2116 | 625 | 666 | 1379 | 259 | 56 | 21.62% | 279 | 49 | 82.44% | 2 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 1625 | 1132 | 1546 | 484 | 822 | 412 | 45.7% | 9.4% | 90.0% | 99.4 | FUN | |
Total | 66 | 27 | 30 | 0 | 2 | 4 | 0 | 3 | 193 | 212 | -19 | 65 | 0.492 | 193 | 357 | 550 | 3 | 2 | 67 | 70 | 54 | 2 | 2056 | 691 | 711 | 631 | 31 | 2116 | 625 | 666 | 1379 | 259 | 56 | 21.62% | 279 | 49 | 82.44% | 2 | 1160 | 2327 | 49.85% | 1092 | 2329 | 46.89% | 487 | 1014 | 48.03% | 1625 | 1132 | 1546 | 484 | 822 | 412 | 45.7% | 9.4% | 90.0% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2327 |
Neutral Zone Start | 1014 |
Defensive Zone Start | 2329 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2739 |
Faceoffs Lost | 2931 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 132 |
---|---|
PP Goal | 56 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 14 | 15 |
Lost | 14 | 16 |
Overtime Lost | 4 | 3 |
PP Attempt | 259 |
---|---|
PP Goal | 56 |
PK Attempt | 279 |
PK Goal Against | 49 |
Home | |
---|---|
Shots For | 31.2 |
Shots Against | 32.1 |
Goals For | 2.9 |
Goals Against | 3.2 |
Hits | 20.9 |
Shots Blocked | 9.5 |
Pim | 10.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Stars5,Predators3 | RECAP | |||||||||||
2024-10-14 | @ | Islanders4,Stars2 | RECAP | |||||||||||
2024-10-15 | @ | Kraken2,Stars4 | RECAP | |||||||||||
2024-10-17 | @ | Sharks3,Stars4 | RECAP | |||||||||||
2024-10-19 | @ | Stars5,Capitals6 | RECAP | |||||||||||
2024-10-21 | @ | Oilers2,Stars5 | RECAP | |||||||||||
2024-10-24 | @ | Stars1,Sabres3 | RECAP | |||||||||||
2024-10-26 | @ | Stars4,Bruins3 | RECAP | |||||||||||
2024-10-28 | @ | Blackhawks3,Stars4 | RECAP | |||||||||||
2024-11-03 | @ | Panthers4,Stars7 | RECAP | |||||||||||
2024-11-04 | @ | Stars2,Panthers4 | RECAP | |||||||||||
2024-11-09 | @ | Blackhawks2,Stars4 | RECAP | |||||||||||
2024-11-11 | @ | Stars2,Jets3 | RECAP | |||||||||||
2024-11-13 | @ | Stars4,Penguins2 | RECAP | |||||||||||
2024-11-16 | @ | Bruins1,Stars2 | RECAP | |||||||||||
2024-11-18 | @ | Stars2,Wild0 | RECAP | |||||||||||
2024-11-20 | @ | Ducks1,Stars2 (OT) | RECAP | |||||||||||
2024-11-22 | @ | Sharks2,Stars1 | RECAP | |||||||||||
2024-11-25 | @ | Stars5,Lightning2 | RECAP | |||||||||||
2024-11-27 | @ | Stars2,Hurricanes4 | RECAP | |||||||||||
2024-11-29 | @ | Stars2,Blackhawks3 | RECAP | |||||||||||
2024-12-01 | @ | Avalanche3,Stars2 | RECAP | |||||||||||
2024-12-03 | @ | Jets5,Stars2 | RECAP | |||||||||||
2024-12-04 | @ | Stars4,Hockey Club3 | RECAP | |||||||||||
2024-12-06 | @ | Stars4,Kings5 | RECAP | |||||||||||
2024-12-08 | @ | Stars3,Golden Knights1 | RECAP | |||||||||||
2024-12-10 | @ | Flames7,Stars1 | RECAP | |||||||||||
2024-12-14 | @ | Predators2,Stars3 (OT) | RECAP | |||||||||||
2024-12-16 | @ | Blues1,Stars2 | RECAP | |||||||||||
2024-12-18 | @ | Capitals5,Stars3 | RECAP | |||||||||||
2024-12-20 | @ | Maple Leafs3,Stars2 | RECAP | |||||||||||
2024-12-22 | @ | Rangers4,Stars3 (SO) | RECAP | |||||||||||
2024-12-25 | @ | Stars2,Hockey Club4 | RECAP | |||||||||||
2024-12-29 | @ | Wild1,Stars2 | RECAP | |||||||||||
2024-12-31 | @ | Stars2,Blackhawks4 | RECAP | |||||||||||
2025-01-02 | @ | Sabres4,Stars3 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Senators4,Stars3 | RECAP | |||||||||||
2025-01-06 | @ | Hockey Club4,Stars2 | RECAP | |||||||||||
2025-01-09 | @ | Stars2,Rangers1 | RECAP | |||||||||||
2025-01-11 | @ | Stars3,Flyers4 | RECAP | |||||||||||
2025-01-13 | @ | Stars6,Canadiens0 | RECAP | |||||||||||
2025-01-14 | @ | Stars2,Senators10 | RECAP | |||||||||||
2025-01-16 | @ | Stars2,Maple Leafs3 | RECAP | |||||||||||
2025-01-18 | @ | Canadiens1,Stars3 | RECAP | |||||||||||
2025-01-20 | @ | Stars3,Avalanche4 (OT) | RECAP | |||||||||||
2025-01-21 | @ | Red Wings2,Stars1 (OT) | RECAP | |||||||||||
2025-01-23 | @ | Hurricanes4,Stars3 | RECAP | |||||||||||
2025-01-26 | @ | Golden Knights5,Stars2 | RECAP | |||||||||||
2025-01-27 | @ | Stars1,Blues3 | RECAP | |||||||||||
2025-01-30 | @ | Stars5,Golden Knights3 | RECAP | |||||||||||
2025-02-02 | @ | Canucks5,Stars3 | RECAP | |||||||||||
2025-02-04 | @ | Blue Jackets7,Stars2 | RECAP | |||||||||||
2025-02-06 | @ | Stars1,Ducks2 | RECAP | |||||||||||
2025-02-09 | @ | Stars5,Kings4 | RECAP | |||||||||||
2025-02-10 | @ | Stars1,Sharks3 | RECAP | |||||||||||
2025-02-24 | @ | Stars2,Devils1 | RECAP | |||||||||||
2025-02-25 | @ | Stars4,Islanders2 | RECAP | |||||||||||
2025-02-27 | @ | Stars2,Blue Jackets3 (SO) | RECAP | |||||||||||
2025-03-02 | @ | Kings6,Stars5 | RECAP | |||||||||||
2025-03-04 | @ | Blues5,Stars6 | RECAP | |||||||||||
2025-03-06 | @ | Devils2,Stars3 | RECAP | |||||||||||
2025-03-08 | @ | Flames3,Stars2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Stars1,Oilers4 | RECAP | |||||||||||
2025-03-11 | @ | Stars4,Canucks1 | RECAP | |||||||||||
2025-03-16 | @ | Stars4,Jets3 | RECAP | |||||||||||
2025-03-18 | @ | Stars3,Avalanche4 (SO) | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,749,167$ | 0$ | 80,471,157$ | 8,250,833$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 179518 | 151105 | 60783 | 121097 | 30067 |
Attendance PCT | 93.50% | 94.44% | 94.97% | 94.61% | 93.96% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 16955 - 94.20% | 1,551,320$ | 49,642,226$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,749,167$ | 79,749,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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68,287,597$ | 406,884$ | 67,450,869$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,961,876$ | 32 | 411,986$ | 13,183,552$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,454,146$ | 79,749,167$ | 61,555,618$ | 62,063,348$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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2025 | ||||||||
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Priority | Type | Description |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Artyom Galimov | 2020 | 186 | |||
Calle Odelius | 2022 | 32 | |||
Daniil Orlov | 2022 | 127 | |||
Danil Savunov | 2019 | 191 | |||
Dyllan Gill | 2022 | 223 | |||
Eric Ciccolini | 2019 | 214 | |||
Fraser Minten | 2022 | 68 | |||
Hugo Styf | 2020 | 142 | |||
Jackson Edward | 2022 | 219 | |||
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 | |||
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 |
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