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Full Scoreboard »» |
Texas Stars 1-0-0, 2pts · 3rd 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 | 100.00 | 63 | 32 | 92 | 70 | 75 | 79 | 79 | 65 | 80 | 68 | 72 | 60 | 68 | 60 | 59 | 0 | 81 | 77 | 21 | 950,000$/1yrs | |||
![]() | 53 | C/LW | 98.00 | 66 | 37 | 81 | 60 | 64 | 74 | 85 | 63 | 59 | 61 | 69 | 52 | 66 | 73 | 71 | 0 | 66 | 73 | 28 | 850,000$/2yrs | |||
![]() | 53 | C/LW | 100.00 | 72 | 40 | 72 | 58 | 72 | 70 | 73 | 66 | 45 | 61 | 61 | 70 | 61 | 74 | 71 | 0 | 81 | 73 | 28 | 775,000$/1yrs | |||
![]() | 51 | C | 98.00 | 70 | 40 | 74 | 58 | 75 | 69 | 69 | 65 | 50 | 62 | 58 | 69 | 60 | 72 | 69 | 0 | 80 | 72 | 27 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 79 | 40 | 60 | 59 | 68 | 67 | 70 | 61 | 42 | 60 | 58 | 64 | 59 | 63 | 59 | 0 | 83 | 70 | 23 | 847,500$/1yrs | |||
![]() | 19 | C | 99.00 | 88 | 34 | 99 | 55 | 89 | 75 | 67 | 50 | 70 | 50 | 58 | 66 | 54 | 70 | 70 | 0 | 80 | 69 | 27 | 800,000$/1yrs | |||
![]() | 0 | C | 99.00 | 63 | 32 | 93 | 57 | 73 | 71 | 73 | 55 | 80 | 55 | 57 | 63 | 56 | 72 | 71 | 0 | 82 | 68 | 28 | 775,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 71 | 42 | 73 | 52 | 95 | 64 | 86 | 64 | 69 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 82 | 68 | 27 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 78 | 47 | 80 | 55 | 85 | 71 | 68 | 54 | 55 | 58 | 57 | 57 | 55 | 66 | 64 | 0 | 82 | 68 | 24 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 71 | 41 | 72 | 50 | 89 | 63 | 65 | 65 | 50 | 52 | 50 | 69 | 51 | 70 | 67 | 0 | 58 | 67 | 27 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 65 | 40 | 83 | 51 | 82 | 61 | 84 | 62 | 67 | 50 | 51 | 65 | 51 | 62 | 61 | 0 | 82 | 66 | 24 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 37 | 91 | 52 | 66 | 61 | 88 | 61 | 67 | 50 | 52 | 64 | 51 | 61 | 60 | 0 | 44 | 65 | 24 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 33 | 99 | 69 | 78 | 83 | 67 | 53 | 30 | 69 | 58 | 58 | 56 | 62 | 62 | 0 | 31 | 74 | 22 | 916,667$/2yrs | |||
![]() | 0 | D | 99.00 | 66 | 33 | 86 | 55 | 78 | 82 | 76 | 56 | 30 | 56 | 55 | 69 | 55 | 72 | 71 | 0 | 72 | 71 | 28 | 800,000$/1yrs | |||
![]() | 12 | D | 99.00 | 62 | 38 | 88 | 54 | 73 | 67 | 67 | 52 | 30 | 60 | 54 | 69 | 57 | 70 | 69 | 0 | 78 | 70 | 26 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 98 | 41 | 63 | 55 | 95 | 81 | 71 | 51 | 30 | 60 | 62 | 55 | 57 | 59 | 55 | 0 | 66 | 70 | 20 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 38 | 81 | 52 | 66 | 65 | 67 | 51 | 30 | 58 | 53 | 66 | 56 | 64 | 63 | 0 | 82 | 68 | 23 | 775,000$/1yrs | |||
![]() | 57 | D | 99.00 | 65 | 38 | 82 | 54 | 66 | 59 | 60 | 56 | 65 | 50 | 42 | 70 | 54 | 68 | 66 | 0 | 57 | 66 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 99.00 | 68 | 40 | 77 | 50 | 75 | 63 | 65 | 49 | 30 | 56 | 51 | 65 | 54 | 63 | 60 | 0 | 76 | 66 | 22 | 875,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 80 | 33 | 94 | 62 | 77 | 77 | 69 | 56 | 78 | 57 | 62 | 59 | 59 | 59 | 58 | 0 | 44 | 70 | 20 | ||||
![]() | 0 | C | 100.00 | 59 | 39 | 92 | 55 | 85 | 66 | 67 | 64 | 41 | 54 | 57 | 67 | 56 | 68 | 67 | 0 | 61 | 69 | 26 | 850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 39 | 89 | 53 | 85 | 64 | 73 | 63 | 41 | 52 | 56 | 67 | 54 | 66 | 65 | 0 | 24 | 68 | 26 | ||||
![]() | 72 | C | 100.00 | 70 | 39 | 74 | 48 | 69 | 61 | 72 | 65 | 77 | 49 | 49 | 68 | 49 | 68 | 65 | 0 | 24 | 66 | 28 | ||||
![]() | 0 | C | 100.00 | 59 | 37 | 93 | 47 | 66 | 59 | 71 | 64 | 70 | 46 | 47 | 67 | 47 | 66 | 65 | 0 | 24 | 64 | 27 | ||||
![]() | 0 | LW | 100.00 | 64 | 38 | 84 | 52 | 64 | 60 | 79 | 60 | 69 | 49 | 51 | 63 | 50 | 59 | 57 | 0 | 28 | 64 | 22 | 859,167$/1yrs | |||
![]() | 0 | RW | 100.00 | 63 | 39 | 86 | 50 | 81 | 58 | 66 | 59 | 64 | 45 | 51 | 62 | 48 | 57 | 56 | 0 | 24 | 63 | 22 | 836,667$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 39 | 87 | 48 | 77 | 63 | 67 | 48 | 30 | 54 | 52 | 67 | 53 | 66 | 65 | 0 | 23 | 66 | 24 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 42 | 54 | 49 | 84 | 63 | 66 | 48 | 30 | 55 | 52 | 65 | 53 | 63 | 58 | 0 | 24 | 66 | 22 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 38 | 88 | 49 | 75 | 62 | 65 | 48 | 30 | 54 | 51 | 63 | 52 | 59 | 58 | 0 | 44 | 65 | 20 | ||||
![]() | 0 | D | 100.00 | 64 | 39 | 84 | 49 | 79 | 62 | 65 | 48 | 30 | 54 | 51 | 63 | 53 | 59 | 57 | 0 | 44 | 65 | 21 | ||||
![]() | 0 | D | 100.00 | 65 | 40 | 83 | 47 | 89 | 61 | 65 | 47 | 30 | 53 | 50 | 64 | 51 | 61 | 59 | 0 | 44 | 65 | 22 | ||||
![]() | 0 | D | 100.00 | 59 | 38 | 93 | 47 | 71 | 61 | 75 | 46 | 30 | 52 | 49 | 65 | 50 | 62 | 62 | 0 | 24 | 64 | 25 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 39 | 91 | 47 | 79 | 61 | 65 | 47 | 30 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 44 | 64 | 20 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 74 | 78 | 71 | 85 | 66 | 76 | 75 | 74 | 76 | 74 | 75 | 67 | 68 | 0 | 85 | 78 | 26 | 800,000$/2yrs |
![]() | 0 | 100.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 68 | 75 | 24 | 900,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 72 | 69 | 69 | 69 | 78 | 75 | 72 | 72 | 75 | 75 | 73 | 62 | 62 | 0 | 44 | 76 | 22 | |
![]() | 36 | 100.00 | 68 | 57 | 67 | 74 | 69 | 73 | 70 | 68 | 73 | 72 | 70 | 67 | 71 | 0 | 24 | 73 | 27 | 775,000$/1yrs |
![]() | 0 | 100.00 | 67 | 54 | 65 | 74 | 66 | 71 | 67 | 67 | 71 | 71 | 68 | 62 | 66 | 0 | 24 | 71 | 24 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Travis Green | 86 | 84 | 81 | 78 | 72 | 79 | 75 | CAN | 52 | 1 | 500,000$ |
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 | Michael Carcone | C/LW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 0 | 3 | 0.00% | 0 | 24.02 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 61.11% | 18 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | ||
2 | Cam Dineen | D | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 3 | 1 | 2 | 33.33% | 1 | 19.22 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | ||
3 | Travis Dermott | D | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 5 | 1 | 0 | 20.00% | 2 | 22.43 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | ||
4 | Shane Wright | C | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0.00% | 1 | 17.05 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 72.22% | 18 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 | ||
5 | Isaac Belliveau | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 1 | 23.27 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
6 | Brandon Fortunato | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 2 | 0 | 0.00% | 0 | 19.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Mitchell Stephens | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 0.00% | 0 | 21.82 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Brandon Gignac | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 4 | 3 | 6 | 0.00% | 1 | 22.58 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 68.75% | 16 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Cameron Hughes | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 0.00% | 0 | 6.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Joona Koppanen | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 19.85 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 72.73% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Austin Rueschhoff | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 0.00% | 0 | 16.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Jermaine Loewen | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 1 | 1 | 0.00% | 0 | 10.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Andre Lee | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Justin Sourdif | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 0 | 18.27 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Filip Cederqvist | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 0.00% | 0 | 16.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Karl Henriksson | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Lian Bichsel | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Scott Morrow | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 2 | 0.00% | 2 | 18.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Domenick Fensore | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 1 | 0.00% | 0 | 17.35 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 19 | 2 | 3 | 5 | -5 | 6 | 0 | 13 | 36 | 13 | 35 | 5.56% | 8 | 15.47 | 2 | 3 | 5 | 32 | 0 | 0 | 0 | 23 | 1 | 0 | 65.52% | 87 | 0 | 0 | 0 | 0 | 0.34 | 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 | 1 | 1 | 0 | 0 | 0.960 | 1.00 | 60 | 0 | 0 | 1 | 25 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 1 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 0.960 | 1.00 | 60 | 0 | 0 | 1 | 25 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 1 | 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 | 859,167$ | 859,167$ | RFA | ||||||
Andre Lee | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Arvid Holm | G | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
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$ | UFA | ||||||
Calle Odelius | D | 20 | 0$ | RFA | |||||||
Cam Dineen | D | 26 | 800,000$ | 800,000$ | |||||||
Cameron Hughes | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colt Conrad | C | 28 | 0$ | UFA | |||||||
Domenick Fensore | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Dyllan Gill | D | 20 | 0$ | RFA | |||||||
Filip Cederqvist | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Filip Johansson | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Fraser Minten | C | 20 | 0$ | RFA | |||||||
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 | |||||
Jackson Edward | D | 21 | 0$ | RFA | |||||||
Jermaine Loewen | RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Joona Koppanen | C | 27 | 800,000$ | 800,000$ | UFA | ||||||
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$ | UFA | |||||||
Mitchell Stephens | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Olivier Nadeau | RW | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Ryan Mast | D | 22 | 0$ | RFA | |||||||
Scott Morrow | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Scott Reedy | C | 26 | 850,000$ | 850,000$ | |||||||
Shane Wright | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
Simon Lundmark | D | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
Thomas Milic | G | 22 | 0$ | RFA | |||||||
Travis Dermott | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
Zachary Emond | G | 24 | 0$ | ||||||||
Zachary Sawchenko | G | 27 | 775,000$ | 775,000$ | 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 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 14 | 11 | 11 | 0 | 25 | 8 | 6 | 13 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 27 | 40 | 67.50% | 23 | 35 | 65.71% | 7 | 12 | 58.33% | 25 | 17 | 21 | 7 | 12 | 6 | 0.0% | 5.6% | 96.0% | 101.6 | DULL | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 14 | 11 | 11 | 0 | 25 | 8 | 6 | 13 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 27 | 40 | 67.50% | 23 | 35 | 65.71% | 7 | 12 | 58.33% | 25 | 17 | 21 | 7 | 12 | 6 | 0.0% | 5.6% | 96.0% | 101.6 | DULL | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 14 | 11 | 11 | 0 | 25 | 8 | 6 | 13 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 27 | 40 | 67.50% | 23 | 35 | 65.71% | 7 | 12 | 58.33% | 25 | 17 | 21 | 7 | 12 | 6 | 0.0% | 5.6% | 96.0% | 101.6 | DULL | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 14 | 11 | 11 | 0 | 25 | 8 | 6 | 13 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 27 | 40 | 67.50% | 23 | 35 | 65.71% | 7 | 12 | 58.33% | 25 | 17 | 21 | 7 | 12 | 6 | 0.0% | 5.6% | 96.0% | 101.6 | DULL |
Puck Time | |
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Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 40 |
Neutral Zone Start | 12 |
Defensive Zone Start | 35 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 57 |
Faceoffs Lost | 30 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
---|---|
PP Goal | 2 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 36.0 |
Shots Against | 25.0 |
Goals For | 2.0 |
Goals Against | 1.0 |
Hits | 13.0 |
Shots Blocked | 8.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Barracuda1,Stars2 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,308,501$ | 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 |
2,308,501$ | 2,308,501$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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