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Full Scoreboard »» |
Texas Stars 1-1-0, 2pts · 9th 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 | 100.00 | 80 | 39 | 86 | 57 | 74 | 74 | 83 | 57 | 61 | 57 | 60 | 67 | 58 | 69 | 68 | 0 | 43 | 71 | 27 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 79 | 40 | 60 | 59 | 68 | 67 | 70 | 61 | 42 | 60 | 58 | 64 | 59 | 63 | 59 | 0 | 45 | 70 | 23 | 950,000$/2yrs | |||
![]() | 0 | C | 100.00 | 80 | 33 | 94 | 62 | 77 | 77 | 69 | 56 | 78 | 57 | 62 | 59 | 59 | 59 | 58 | 0 | 47 | 70 | 21 | 816,666$/2yrs | |||
![]() | 19 | C | 100.00 | 88 | 34 | 99 | 55 | 89 | 75 | 67 | 50 | 70 | 50 | 58 | 66 | 54 | 70 | 70 | 0 | 43 | 69 | 27 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 39 | 92 | 55 | 85 | 66 | 67 | 64 | 41 | 54 | 57 | 67 | 56 | 68 | 67 | 0 | 40 | 69 | 26 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 78 | 47 | 80 | 55 | 85 | 71 | 68 | 54 | 55 | 58 | 57 | 57 | 55 | 66 | 64 | 0 | 42 | 68 | 25 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 39 | 71 | 52 | 69 | 63 | 65 | 62 | 43 | 53 | 51 | 66 | 52 | 64 | 61 | 0 | 41 | 66 | 24 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 38 | 91 | 51 | 72 | 61 | 65 | 63 | 37 | 51 | 50 | 66 | 51 | 64 | 63 | 0 | 41 | 66 | 24 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 38 | 91 | 52 | 72 | 62 | 66 | 62 | 65 | 50 | 53 | 65 | 52 | 63 | 62 | 0 | 41 | 66 | 23 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 68 | 39 | 78 | 53 | 74 | 62 | 66 | 62 | 43 | 52 | 52 | 65 | 52 | 63 | 60 | 0 | 41 | 66 | 23 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 99 | 47 | 50 | 52 | 80 | 60 | 65 | 60 | 50 | 50 | 52 | 63 | 51 | 59 | 54 | 0 | 41 | 66 | 21 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 63 | 39 | 86 | 50 | 81 | 58 | 66 | 59 | 64 | 45 | 51 | 62 | 48 | 57 | 56 | 0 | 46 | 63 | 22 | 836,667$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 37 | 87 | 55 | 74 | 81 | 82 | 56 | 30 | 60 | 57 | 69 | 57 | 66 | 65 | 0 | 39 | 71 | 25 | 805,000$/1yrs | |||
![]() | 12 | D | 100.00 | 62 | 38 | 88 | 54 | 73 | 67 | 67 | 52 | 30 | 60 | 54 | 69 | 57 | 70 | 69 | 0 | 46 | 70 | 27 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 38 | 81 | 52 | 66 | 65 | 67 | 51 | 30 | 58 | 53 | 66 | 56 | 64 | 63 | 0 | 47 | 68 | 24 | 900,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 39 | 87 | 48 | 77 | 63 | 67 | 48 | 30 | 54 | 52 | 67 | 53 | 66 | 65 | 0 | 39 | 66 | 25 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 40 | 77 | 50 | 75 | 63 | 65 | 49 | 30 | 56 | 51 | 65 | 54 | 63 | 60 | 0 | 43 | 66 | 22 | 875,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 42 | 54 | 49 | 84 | 63 | 66 | 48 | 30 | 55 | 52 | 65 | 53 | 63 | 58 | 0 | 39 | 66 | 23 | 950,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 51 | C | 100.00 | 70 | 40 | 74 | 58 | 75 | 69 | 69 | 65 | 50 | 62 | 58 | 69 | 60 | 72 | 69 | 0 | 40 | 72 | 27 | 800,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 71 | 42 | 73 | 52 | 95 | 64 | 86 | 64 | 69 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 44 | 68 | 28 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 65 | 40 | 83 | 51 | 82 | 61 | 84 | 62 | 67 | 50 | 51 | 65 | 51 | 62 | 61 | 0 | 45 | 66 | 25 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 37 | 91 | 52 | 66 | 61 | 88 | 61 | 67 | 50 | 52 | 64 | 51 | 61 | 60 | 0 | 38 | 65 | 24 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 64 | 38 | 84 | 52 | 64 | 60 | 79 | 60 | 69 | 49 | 51 | 63 | 50 | 59 | 57 | 0 | 43 | 64 | 22 | 900,000$/3yrs | |||
![]() | 0 | D | 94.09 | 98 | 41 | 63 | 55 | 95 | 81 | 71 | 51 | 30 | 60 | 62 | 55 | 57 | 59 | 55 | 0 | 36 | 70 | 21 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 38 | 88 | 49 | 75 | 62 | 65 | 48 | 30 | 54 | 51 | 63 | 52 | 59 | 58 | 0 | 38 | 65 | 21 | 815,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 39 | 84 | 49 | 79 | 62 | 65 | 48 | 30 | 54 | 51 | 63 | 53 | 59 | 57 | 0 | 37 | 65 | 21 | 816,666$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 40 | 83 | 47 | 89 | 61 | 65 | 47 | 30 | 53 | 50 | 64 | 51 | 61 | 59 | 0 | 45 | 65 | 22 | 830,556$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 38 | 93 | 47 | 71 | 61 | 75 | 46 | 30 | 52 | 49 | 65 | 50 | 62 | 62 | 0 | 38 | 64 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 39 | 91 | 47 | 79 | 61 | 65 | 47 | 30 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 43 | 64 | 21 | 870,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 74 | 78 | 71 | 85 | 66 | 76 | 75 | 74 | 76 | 74 | 75 | 67 | 68 | 0 | 45 | 78 | 26 | 800,000$/1yrs |
![]() | 0 | 100.00 | 72 | 69 | 69 | 69 | 78 | 75 | 72 | 72 | 75 | 75 | 73 | 62 | 62 | 0 | 48 | 76 | 22 | 841,667$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 43 | 75 | 25 | 900,000$/1yrs |
![]() | 36 | 100.00 | 68 | 57 | 67 | 74 | 69 | 73 | 70 | 68 | 73 | 72 | 70 | 67 | 71 | 0 | 44 | 73 | 27 | 800,000$/2yrs |
![]() | 0 | 100.00 | 70 | 66 | 68 | 75 | 65 | 58 | 68 | 78 | 65 | 76 | 68 | 63 | 67 | 0 | 41 | 73 | 23 | 925,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 78 | 80 | 74 | 74 | 76 | 86 | 80 | USA | 54 | 3 | 1,000,000$ |
General Manager |
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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 | Noah Gregor | C/LW | 2 | 0 | 4 | 4 | 2 | 0 | 0 | 3 | 10 | 1 | 5 | 0.00% | 1 | 21.78 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 50.75% | 67 | 0 | 0 | 0 | 0 | 1.84 | 0 | 0 | ||
2 | Justin Sourdif | C/RW | 2 | 2 | 2 | 4 | 2 | 0 | 0 | 4 | 6 | 1 | 7 | 33.33% | 2 | 18.62 | 1 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 2.15 | 0 | 0 | ||
3 | Domenick Fensore | D | 2 | 1 | 2 | 3 | -1 | 2 | 0 | 5 | 2 | 1 | 3 | 50.00% | 4 | 18.07 | 1 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.66 | 0 | 0 | ||
4 | Fraser Minten | C | 2 | 2 | 1 | 3 | 2 | 0 | 0 | 0 | 4 | 1 | 1 | 50.00% | 0 | 21.63 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.39 | 0 | 0 | ||
5 | Jacob Bernard-Docker | D | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 3 | 7 | 1 | 1 | 14.29% | 2 | 22.48 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | ||
6 | Andre Lee | LW | 2 | 0 | 1 | 1 | -1 | 2 | 0 | 2 | 4 | 1 | 4 | 0.00% | 0 | 17.51 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
7 | Cam Dineen | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 0.00% | 0 | 22.45 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Joona Koppanen | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 5 | 3 | 0 | 0.00% | 2 | 17.89 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Scott Reedy | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 5 | 0 | 2 | 0.00% | 1 | 17.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 53.85% | 39 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Simon Lundmark | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 5 | 1 | 1 | 0.00% | 3 | 23.85 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Reece Vitelli | C | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 3 | 0 | 2 | 0.00% | 0 | 11.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.71% | 28 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Lian Bichsel | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 4.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Isaac Belliveau | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 20.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Olivier Nadeau | RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 3 | 1 | 1 | 0.00% | 0 | 8.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Hunter McDonald | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 1 | 0 | 0 | 0.00% | 0 | 9.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Simon Pinard | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0.00% | 0 | 12.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Ryan Gagnier | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 1 | 11.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Sahil Panwar | LW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 1 | 2 | 1 | 0.00% | 0 | 8.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Sawyer Boulton | C/LW/RW | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 6 | 1 | 1 | 0.00% | 0 | 8.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 63.64% | 22 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 37 | 6 | 11 | 17 | -5 | 10 | 0 | 43 | 70 | 19 | 32 | 8.57% | 17 | 15.96 | 3 | 5 | 8 | 27 | 0 | 0 | 0 | 38 | 1 | 0 | 53.41% | 176 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 |
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 | Arvid Holm | 2 | 1 | 1 | 0 | 0.919 | 2.50 | 120 | 0 | 0 | 5 | 62 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
Team Total or Average | 2 | 1 | 1 | 0 | 0.919 | 2.50 | 120 | 0 | 0 | 5 | 62 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kisakov | LW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Alexei Kolosov | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Andre Lee | LW | 25 | 800,000$ | 800,000$ | |||||||
Arvid Holm | G | 26 | 800,000$ | 800,000$ | |||||||
Austin Rueschhoff | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Brandon Gignac | C | 27 | 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$ | UFA | ||||||
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$ | |||||||
Filip Johansson | D | 25 | 800,000$ | 800,000$ | |||||||
Fraser Minten | C | 21 | 816,666$ | 816,666$ | 816,666$ | RFA | |||||
Hunter Jones | G | 25 | 900,000$ | 900,000$ | |||||||
Hunter McDonald | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
Isaac Belliveau | D | 22 | 875,000$ | 875,000$ | RFA | ||||||
Jackson Edward | D | 21 | 816,666$ | 816,666$ | 816,666$ | RFA | |||||
Jacob Bernard-Docker | D | 25 | 805,000$ | 805,000$ | |||||||
Joona Koppanen | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Justin Sourdif | C/RW | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
Karl Henriksson | C | 24 | 800,000$ | 800,000$ | |||||||
Lian Bichsel | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
Noah Gregor | C/LW | 27 | 850,000$ | 850,000$ | UFA | ||||||
Olivier Nadeau | RW | 22 | 836,667$ | 836,667$ | RFA | ||||||
Reece Vitelli | C | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ryan Gagnier | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ryan Mast | D | 22 | 830,556$ | 830,556$ | RFA | ||||||
Sahil Panwar | LW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sawyer Boulton | C/LW/RW | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Scott Reedy | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Simon Lundmark | D | 25 | 850,000$ | 850,000$ | |||||||
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 | 27 | 800,000$ | 800,000$ | 800,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 2 | 1 | 0 | 38 | 25 | 15 | 30 | 0 | 28 | 10 | 4 | 13 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 35 | 72 | 48.61% | 40 | 71 | 56.34% | 19 | 33 | 57.58% | 44 | 28 | 46 | 16 | 28 | 13 | 50.0% | 10.5% | 92.9% | 103.4 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 3 | 2 | 1 | 0 | 32 | 25 | 15 | 30 | 0 | 34 | 7 | 6 | 30 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 35 | 72 | 48.61% | 40 | 71 | 56.34% | 19 | 33 | 57.58% | 44 | 28 | 46 | 16 | 28 | 13 | 33.3% | 6.3% | 91.2% | 97.4 | DULL | |
_Vs Division | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 2 | 1 | 0 | 38 | 25 | 15 | 30 | 0 | 28 | 10 | 4 | 13 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 35 | 72 | 48.61% | 40 | 71 | 56.34% | 19 | 33 | 57.58% | 44 | 28 | 46 | 16 | 28 | 13 | 50.0% | 10.5% | 92.9% | 103.4 | LUCKY | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 70 | 25 | 15 | 30 | 0 | 62 | 17 | 10 | 43 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 35 | 72 | 48.61% | 40 | 71 | 56.34% | 19 | 33 | 57.58% | 44 | 28 | 46 | 16 | 28 | 13 | 42.9% | 8.6% | 91.9% | 100.5 | DULL | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 70 | 25 | 15 | 30 | 0 | 62 | 17 | 10 | 43 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 35 | 72 | 48.61% | 40 | 71 | 56.34% | 19 | 33 | 57.58% | 44 | 28 | 46 | 16 | 28 | 13 | 42.9% | 8.6% | 91.9% | 100.5 | DULL | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 70 | 25 | 15 | 30 | 0 | 62 | 17 | 10 | 43 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 35 | 72 | 48.61% | 40 | 71 | 56.34% | 19 | 33 | 57.58% | 44 | 28 | 46 | 16 | 28 | 13 | 42.9% | 8.6% | 91.9% | 100.5 | DULL |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 72 |
Neutral Zone Start | 33 |
Defensive Zone Start | 71 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 94 |
Faceoffs Lost | 82 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.5 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 35.0 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 3 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 1 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
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PP Goal | 3 |
PK Attempt | 5 |
PK Goal Against | 1 |
Home | |
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Shots For | 35.0 |
Shots Against | 31.0 |
Goals For | 3.0 |
Goals Against | 2.5 |
Hits | 21.5 |
Shots Blocked | 8.5 |
Pim | 5.0 |
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2025-10-11 | @ | Firebirds3,Stars2 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,338,224$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Texas | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,338,224$ | 2,338,224$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
104,066$ | 12,990$ | 76,286$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 186 | 18,546$ | 3,227,004$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,227,004$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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