| Texas Stars 8-11-2, 18pts · 13th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael Carcone | 53 | C/LW | 100.00 | 66 | 37 | 81 | 60 | 64 | 74 | 85 | 63 | 59 | 61 | 69 | 52 | 66 | 73 | 71 | 0 | 44 | 73 | 29 | 850,000$/1yrs | |||
Noah Gregor | 0 | C/LW | 96.00 | 80 | 39 | 86 | 57 | 74 | 74 | 83 | 57 | 61 | 57 | 60 | 67 | 58 | 69 | 68 | 0 | 42 | 71 | 27 | 850,000$/1yrs | |||
Justin Sourdif (R) | 0 | C/RW | 100.00 | 79 | 40 | 60 | 59 | 68 | 67 | 70 | 61 | 42 | 60 | 58 | 64 | 59 | 63 | 59 | 0 | 44 | 70 | 23 | 950,000$/2yrs | |||
Alexandre Doucet | 0 | C | 100.00 | 67 | 39 | 80 | 65 | 71 | 70 | 60 | 62 | 67 | 56 | 57 | 63 | 64 | 60 | 57 | 0 | 34 | 70 | 23 | 800,000$/2yrs | |||
Joona Koppanen | 19 | C | 100.00 | 88 | 34 | 99 | 55 | 89 | 75 | 67 | 50 | 70 | 50 | 58 | 66 | 54 | 70 | 70 | 0 | 42 | 69 | 27 | 775,000$/1yrs | |||
Scott Reedy | 0 | C | 100.00 | 59 | 39 | 92 | 55 | 85 | 66 | 67 | 64 | 41 | 54 | 57 | 67 | 56 | 68 | 67 | 0 | 38 | 69 | 26 | 800,000$/2yrs | |||
Andre Lee | 0 | LW | 100.00 | 78 | 47 | 80 | 55 | 85 | 71 | 68 | 54 | 55 | 58 | 57 | 57 | 55 | 66 | 64 | 0 | 41 | 68 | 25 | 800,000$/1yrs | |||
Reece Vitelli | 0 | C | 100.00 | 72 | 39 | 71 | 52 | 69 | 63 | 65 | 62 | 43 | 53 | 51 | 66 | 52 | 64 | 61 | 0 | 36 | 66 | 24 | 800,000$/2yrs | |||
Simon Pinard | 0 | C/LW/RW | 100.00 | 60 | 38 | 91 | 51 | 72 | 61 | 65 | 63 | 37 | 51 | 50 | 66 | 51 | 64 | 63 | 0 | 39 | 66 | 24 | 800,000$/2yrs | |||
Ryan Gagnier | 0 | C | 100.00 | 60 | 38 | 91 | 52 | 72 | 62 | 66 | 62 | 65 | 50 | 53 | 65 | 52 | 63 | 62 | 0 | 26 | 66 | 23 | 800,000$/2yrs | |||
Sahil Panwar | 0 | LW | 100.00 | 68 | 39 | 78 | 53 | 74 | 62 | 66 | 62 | 43 | 52 | 52 | 65 | 52 | 63 | 60 | 0 | 39 | 66 | 23 | 800,000$/2yrs | |||
Sawyer Boulton | 0 | C/LW/RW | 100.00 | 99 | 47 | 50 | 52 | 80 | 60 | 65 | 60 | 50 | 50 | 52 | 63 | 51 | 59 | 54 | 0 | 39 | 66 | 21 | 800,000$/2yrs | |||
Scott Morrow (R) | 0 | D | 100.00 | 57 | 33 | 99 | 69 | 78 | 83 | 67 | 53 | 30 | 69 | 58 | 58 | 56 | 62 | 62 | 0 | 48 | 74 | 23 | 916,667$/1yrs | |||
Jacob Bernard-Docker | 0 | D | 100.00 | 66 | 37 | 87 | 55 | 74 | 81 | 82 | 56 | 30 | 60 | 57 | 69 | 57 | 66 | 65 | 0 | 37 | 71 | 25 | 805,000$/1yrs | |||
Cam Dineen | 12 | D | 100.00 | 62 | 38 | 88 | 54 | 73 | 67 | 67 | 52 | 30 | 60 | 54 | 69 | 57 | 70 | 69 | 0 | 44 | 70 | 27 | 775,000$/1yrs | |||
Lian Bichsel (R) | 0 | D | 100.00 | 98 | 41 | 63 | 55 | 95 | 81 | 71 | 51 | 30 | 60 | 62 | 55 | 57 | 59 | 55 | 0 | 36 | 70 | 21 | 950,000$/1yrs | |||
Domenick Fensore (R) | 0 | D | 100.00 | 66 | 38 | 81 | 52 | 66 | 65 | 67 | 51 | 30 | 58 | 53 | 66 | 56 | 64 | 63 | 0 | 45 | 68 | 24 | 900,000$/3yrs | |||
Simon Lundmark | 0 | D | 100.00 | 63 | 39 | 87 | 48 | 77 | 63 | 67 | 48 | 30 | 54 | 52 | 67 | 53 | 66 | 65 | 0 | 37 | 66 | 25 | 850,000$/1yrs | |||
Isaac Belliveau (R) | 0 | D | 100.00 | 68 | 40 | 77 | 50 | 75 | 63 | 65 | 49 | 30 | 56 | 51 | 65 | 54 | 63 | 60 | 0 | 41 | 66 | 23 | 875,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Brandon Gignac | 51 | C | 100.00 | 70 | 40 | 74 | 58 | 75 | 69 | 69 | 65 | 50 | 62 | 58 | 69 | 60 | 72 | 69 | 0 | 21 | 72 | 28 | 800,000$/3yrs | |||
Austin Rueschhoff | 0 | RW | 100.00 | 71 | 42 | 73 | 52 | 95 | 64 | 86 | 64 | 69 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 25 | 68 | 28 | 800,000$/1yrs | |||
Filip Cederqvist (R) | 0 | LW | 100.00 | 65 | 40 | 83 | 51 | 82 | 61 | 84 | 62 | 67 | 50 | 51 | 65 | 51 | 62 | 61 | 0 | 26 | 66 | 25 | 800,000$/1yrs | |||
Karl Henriksson (R) | 0 | C | 100.00 | 60 | 37 | 91 | 52 | 66 | 61 | 88 | 61 | 67 | 50 | 52 | 64 | 51 | 61 | 60 | 0 | 19 | 65 | 24 | 800,000$/1yrs | |||
Alexander Kisakov (R) | 0 | LW | 100.00 | 64 | 38 | 84 | 52 | 64 | 60 | 79 | 60 | 69 | 49 | 51 | 63 | 50 | 59 | 57 | 0 | 24 | 64 | 23 | 900,000$/3yrs | |||
Olivier Nadeau (R) | 0 | RW | 100.00 | 63 | 39 | 86 | 50 | 81 | 58 | 66 | 59 | 64 | 45 | 51 | 62 | 48 | 57 | 56 | 0 | 35 | 63 | 22 | 836,667$/1yrs | |||
Hunter McDonald (R) | 0 | D | 100.00 | 82 | 42 | 54 | 49 | 84 | 63 | 66 | 48 | 30 | 55 | 52 | 65 | 53 | 63 | 58 | 0 | 21 | 66 | 23 | 950,000$/1yrs | |||
Calle Odelius (R) | 0 | D | 100.00 | 62 | 38 | 88 | 49 | 75 | 62 | 65 | 48 | 30 | 54 | 51 | 63 | 52 | 59 | 58 | 0 | 19 | 65 | 21 | 815,000$/2yrs | |||
Jackson Edward (R) | 0 | D | 100.00 | 64 | 39 | 84 | 49 | 79 | 62 | 65 | 48 | 30 | 54 | 51 | 63 | 53 | 59 | 57 | 0 | 19 | 65 | 21 | 816,666$/2yrs | |||
Ryan Mast (R) | 0 | D | 100.00 | 65 | 40 | 83 | 47 | 89 | 61 | 65 | 47 | 30 | 53 | 50 | 64 | 51 | 61 | 59 | 0 | 26 | 65 | 22 | 830,556$/1yrs | |||
Filip Johansson (R) | 0 | D | 100.00 | 59 | 38 | 93 | 47 | 71 | 61 | 75 | 46 | 30 | 52 | 49 | 65 | 50 | 62 | 62 | 0 | 20 | 64 | 25 | 800,000$/1yrs | |||
Dyllan Gill (R) | 0 | D | 100.00 | 60 | 39 | 91 | 47 | 79 | 61 | 65 | 47 | 30 | 52 | 53 | 63 | 52 | 59 | 58 | 0 | 24 | 64 | 21 | 870,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Holm | 0 | 100.00 | 74 | 78 | 71 | 85 | 66 | 76 | 75 | 74 | 76 | 74 | 75 | 67 | 68 | 0 | 42 | 78 | 27 | 800,000$/1yrs |
Thomas Milic | 0 | 96.00 | 72 | 69 | 69 | 69 | 78 | 75 | 72 | 72 | 75 | 75 | 73 | 62 | 62 | 0 | 49 | 76 | 22 | 841,667$/2yrs |
| Scratches | ||||||||||||||||||||
Hunter Jones | 0 | 100.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 34 | 75 | 25 | 900,000$/1yrs |
Zachary Sawchenko | 36 | 100.00 | 68 | 57 | 67 | 74 | 69 | 73 | 70 | 68 | 73 | 72 | 70 | 67 | 71 | 0 | 35 | 73 | 27 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Bylsma | 78 | 80 | 74 | 74 | 76 | 86 | 80 | USA | 54 | 3 | 1,000,000$ |
| General Manager |
|---|
| 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 | 21 | 7 | 8 | 15 | -6 | 13 | 5 | 21 | 66 | 13 | 44 | 10.61% | 6 | 22.72 | 3 | 3 | 6 | 52 | 0 | 0 | 0 | 69 | 0 | 0 | 51.56% | 609 | 0 | 0 | 0 | 0 | 0.63 | 1 | 2 | ||
| 2 | Justin Sourdif | C/RW | 21 | 3 | 10 | 13 | -7 | 13 | 5 | 39 | 62 | 20 | 33 | 4.84% | 6 | 18.43 | 1 | 6 | 7 | 52 | 0 | 0 | 0 | 34 | 0 | 0 | 41.38% | 29 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 3 | Scott Reedy | C | 21 | 4 | 8 | 12 | 0 | 0 | 0 | 5 | 71 | 26 | 46 | 5.63% | 9 | 18.02 | 1 | 2 | 3 | 54 | 0 | 0 | 0 | 0 | 1 | 0 | 45.32% | 481 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 4 | Domenick Fensore | D | 21 | 3 | 9 | 12 | -3 | 6 | 0 | 21 | 33 | 12 | 25 | 9.09% | 16 | 18.33 | 1 | 3 | 4 | 48 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 5 | Cam Dineen | D | 21 | 4 | 7 | 11 | -6 | 4 | 0 | 24 | 34 | 8 | 17 | 11.76% | 30 | 21.40 | 3 | 2 | 5 | 54 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 6 | Jacob Bernard-Docker | D | 21 | 2 | 8 | 10 | -7 | 12 | 0 | 41 | 29 | 11 | 16 | 6.90% | 34 | 23.70 | 2 | 2 | 4 | 57 | 0 | 0 | 0 | 59 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 7 | Sawyer Boulton | C/LW/RW | 21 | 3 | 3 | 6 | -3 | 16 | 0 | 61 | 31 | 7 | 19 | 9.68% | 4 | 13.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | 1 | 41.15% | 192 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 8 | Andre Lee | LW | 21 | 2 | 3 | 5 | 0 | 25 | 5 | 43 | 42 | 5 | 24 | 4.76% | 2 | 18.26 | 0 | 1 | 1 | 53 | 0 | 0 | 0 | 9 | 0 | 0 | 57.14% | 21 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 9 | Sahil Panwar | LW | 21 | 2 | 3 | 5 | -1 | 0 | 0 | 1 | 24 | 10 | 18 | 8.33% | 0 | 6.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 55.56% | 9 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 10 | Joona Koppanen | C | 21 | 2 | 2 | 4 | 0 | 10 | 0 | 47 | 50 | 14 | 26 | 4.00% | 7 | 18.32 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 6 | 0 | 0 | 51.52% | 33 | 0 | 0 | 0 | 0 | 0.21 | 0 | 1 | ||
| 11 | Alexandre Doucet | C | 17 | 2 | 2 | 4 | -5 | 9 | 5 | 12 | 29 | 16 | 25 | 6.90% | 1 | 13.11 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 0 | 1 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 12 | Reece Vitelli | C | 21 | 0 | 4 | 4 | -3 | 19 | 5 | 39 | 34 | 13 | 34 | 0.00% | 4 | 13.09 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 20 | 0 | 0 | 38.87% | 301 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 13 | Scott Morrow | D | 17 | 0 | 4 | 4 | -1 | 6 | 0 | 15 | 8 | 4 | 4 | 0.00% | 16 | 15.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
| 14 | Simon Pinard | C/LW/RW | 21 | 2 | 2 | 4 | -3 | 2 | 0 | 7 | 32 | 14 | 33 | 6.25% | 4 | 14.12 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 41 | 1 | 1 | 45.24% | 42 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 15 | Simon Lundmark | D | 21 | 1 | 1 | 2 | -2 | 24 | 0 | 40 | 25 | 5 | 9 | 4.00% | 32 | 23.11 | 1 | 0 | 1 | 50 | 0 | 0 | 0 | 53 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | ||
| 16 | Isaac Belliveau | D | 19 | 0 | 1 | 1 | -1 | 8 | 0 | 18 | 4 | 0 | 7 | 0.00% | 10 | 12.05 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | ||
| 17 | Olivier Nadeau | RW | 13 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 8 | 7 | 4 | 12.50% | 2 | 7.86 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 24 | 0 | 0 | 0 | 0 | 0.20 | 0 | 1 | ||
| 18 | Hunter McDonald | D | 6 | 1 | 0 | 1 | -1 | 7 | 5 | 8 | 2 | 0 | 3 | 50.00% | 0 | 8.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 19 | Michael Carcone | C/LW | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.56 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 20 | Lian Bichsel | D | 18 | 0 | 0 | 0 | -1 | 18 | 0 | 36 | 4 | 2 | 7 | 0.00% | 7 | 8.76 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 23 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Ryan Gagnier | C | 14 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 5 | 0 | 1 | 0.00% | 1 | 3.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 383 | 39 | 75 | 114 | -51 | 196 | 30 | 481 | 594 | 187 | 395 | 6.57% | 191 | 15.42 | 12 | 21 | 33 | 514 | 0 | 0 | 0 | 489 | 7 | 2 | 46.44% | 1770 | 0 | 0 | 0 | 0 | 0.39 | 1 | 4 |
| 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 | 11 | 4 | 7 | 0 | 0.907 | 2.76 | 652 | 4 | 2 | 30 | 324 | 0 | 0 | 1 | 0.667 | 3 | 11 | 10 | 1 | 1 | 1 | |
| 2 | Thomas Milic | 11 | 4 | 4 | 2 | 0.928 | 2.43 | 618 | 0 | 0 | 25 | 348 | 0 | 0 | 0 | 0.500 | 2 | 10 | 11 | 4 | 0 | 1 | |
| Team Total or Average | 22 | 8 | 11 | 2 | 0.918 | 2.60 | 1270 | 4 | 2 | 55 | 672 | 0 | 0 | 1 | 0.600 | 5 | 21 | 21 | 5 | 1 | 2 |
| 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 | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Alexandre Doucet | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Andre Lee | LW | 25 | 800,000$ | 800,000$ | |||||||
| Arvid Holm | G | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Austin Rueschhoff | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Brandon Gignac | C | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
| Calle Odelius | D | 21 | 815,000$ | 815,000$ | 815,000$ | RFA | |||||
| Cam Dineen | D | 27 | 775,000$ | 775,000$ | 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$ | |||||||
| Hunter Jones | G | 25 | 900,000$ | 900,000$ | |||||||
| Hunter McDonald | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
| Isaac Belliveau | D | 23 | 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 | ||||||
| Michael Carcone | C/LW | 29 | 850,000$ | 850,000$ | UFA | ||||||
| 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 Morrow | D | 23 | 916,667$ | 916,667$ | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 14 | 14 | 14 | 3 | 26 | 219 | 197 | 199 | 14 | 40 | 10 | 8 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 100.0% | 7.7% | 97.5% | 105.2 | DULL | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 14 | 14 | 14 | 3 | 31 | 219 | 197 | 199 | 14 | 36 | 8 | 10 | 26 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 50.0% | 9.7% | 88.9% | 98.6 | FUN | |
| 3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 14 | 14 | 14 | 3 | 61 | 219 | 197 | 199 | 14 | 58 | 14 | 16 | 48 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 16.7% | 3.3% | 87.9% | 91.2 | Unlucky | |
| 4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 0.333 | 3 | 5 | 8 | 0 | 1 | 14 | 14 | 14 | 3 | 89 | 219 | 197 | 199 | 14 | 57 | 21 | 20 | 71 | 9 | 1 | 11.11% | 10 | 2 | 80.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 25.0% | 3.4% | 86.0% | 89.3 | Unlucky | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 14 | 14 | 14 | 3 | 38 | 219 | 197 | 199 | 14 | 28 | 10 | 4 | 13 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 50.0% | 10.5% | 92.9% | 103.4 | LUCKY | |
| 6 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 14 | 14 | 14 | 3 | 65 | 219 | 197 | 199 | 14 | 75 | 17 | 42 | 43 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 60.0% | 10.8% | 89.3% | 100.1 | FUN | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 14 | 14 | 14 | 3 | 31 | 219 | 197 | 199 | 14 | 36 | 6 | 4 | 25 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 50.0% | 6.5% | 97.2% | 103.7 | DULL | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 14 | 14 | 14 | 3 | 26 | 219 | 197 | 199 | 14 | 43 | 6 | 14 | 24 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 50.0% | 7.7% | 93.0% | 100.7 | DULL | |
| 9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 14 | 14 | 14 | 3 | 83 | 219 | 197 | 199 | 14 | 97 | 43 | 28 | 67 | 13 | 3 | 23.08% | 12 | 1 | 91.67% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 33.3% | 7.2% | 92.8% | 100.0 | DULL | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 14 | 14 | 14 | 3 | 24 | 219 | 197 | 199 | 14 | 24 | 11 | 10 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 25.0% | 8.3% | 83.3% | 91.7 | Unlucky | |
| 11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 14 | 14 | 14 | 3 | 24 | 219 | 197 | 199 | 14 | 40 | 9 | 12 | 28 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 33.3% | 12.5% | 90.0% | 102.5 | FUN | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 14 | 14 | 14 | 3 | 35 | 219 | 197 | 199 | 14 | 21 | 3 | 4 | 25 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 100.0% | 5.7% | 100.0% | 105.7 | DULL | |
| 13 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 14 | 14 | 14 | 3 | 90 | 219 | 197 | 199 | 14 | 118 | 34 | 30 | 75 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 45.5% | 6.7% | 93.2% | 99.9 | DULL | |
| _Vs Division | 11 | 4 | 9 | 0 | 0 | 0 | 1 | 1 | 24 | 32 | -8 | 11 | 0.500 | 24 | 42 | 66 | 1 | 1 | 14 | 14 | 14 | 3 | 325 | 219 | 197 | 199 | 14 | 324 | 108 | 118 | 239 | 37 | 9 | 24.32% | 43 | 10 | 76.74% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 40.5% | 7.4% | 90.1% | 97.5 | Unlucky | |
| _Vs Conference | 19 | 6 | 9 | 0 | 1 | 1 | 1 | 1 | 39 | 50 | -11 | 18 | 0.474 | 39 | 68 | 107 | 1 | 2 | 14 | 14 | 14 | 3 | 566 | 219 | 197 | 199 | 14 | 594 | 178 | 178 | 439 | 61 | 13 | 21.31% | 67 | 13 | 80.60% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 41.3% | 6.9% | 91.6% | 98.5 | DULL | |
| _Since Last GM Reset | 21 | 6 | 11 | 0 | 1 | 1 | 1 | 1 | 44 | 57 | -13 | 18 | 0.429 | 44 | 78 | 122 | 1 | 2 | 14 | 14 | 14 | 3 | 623 | 219 | 197 | 199 | 14 | 673 | 192 | 202 | 489 | 67 | 14 | 20.90% | 78 | 16 | 79.49% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 42.3% | 7.1% | 91.5% | 98.6 | DULL | |
| Total | 21 | 6 | 11 | 0 | 1 | 1 | 1 | 1 | 44 | 57 | -13 | 18 | 0.429 | 44 | 78 | 122 | 1 | 2 | 14 | 14 | 14 | 3 | 623 | 219 | 197 | 199 | 14 | 673 | 192 | 202 | 489 | 67 | 14 | 20.90% | 78 | 16 | 79.49% | 0 | 326 | 699 | 46.64% | 363 | 765 | 47.45% | 153 | 313 | 48.88% | 482 | 315 | 499 | 170 | 289 | 143 | 42.3% | 7.1% | 91.5% | 98.6 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 699 |
| Neutral Zone Start | 313 |
| Defensive Zone Start | 765 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 842 |
| Faceoffs Lost | 935 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.4 | 9.57 |
| 2nd Period | 19.8 | 20.31 |
| 3rd Period | 29.3 | 30.68 |
| Overtime | 30.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.3 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 29 |
|---|---|
| PP Goal | 14 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 2 | 6 |
| Lost | 8 | 3 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 67 |
|---|---|
| PP Goal | 14 |
| PK Attempt | 78 |
| PK Goal Against | 16 |
| Home | |
|---|---|
| Shots For | 29.7 |
| Shots Against | 32.0 |
| Goals For | 2.1 |
| Goals Against | 2.7 |
| Hits | 23.3 |
| Shots Blocked | 9.1 |
| Pim | 9.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Stars4,Wild2 | RECAP | |||||||||||
| 2025-10-11 | @ | Firebirds3,Stars2 | RECAP | |||||||||||
| 2025-10-14 | @ | Admirals4,Stars2 | RECAP | |||||||||||
| 2025-10-17 | @ | Stars1,Eagles4 | RECAP | |||||||||||
| 2025-10-19 | @ | IceHogs3,Stars1 | RECAP | |||||||||||
| 2025-10-22 | @ | Wolves4,Stars0 | RECAP | |||||||||||
| 2025-10-24 | @ | Stars1,Eagles0 | RECAP | |||||||||||
| 2025-10-25 | @ | Stars2,Moose4 | RECAP | |||||||||||
| 2025-10-27 | @ | Stars2,Silver Knights0 | RECAP | |||||||||||
| 2025-10-28 | @ | Firebirds3,Stars1 | RECAP | |||||||||||
| 2025-10-30 | @ | Admirals4,Stars5 (SO) | RECAP | |||||||||||
| 2025-11-02 | @ | Stars2,Wolves3 (SO) | RECAP | |||||||||||
| 2025-11-04 | @ | IceHogs2,Stars4 | RECAP | |||||||||||
| 2025-11-07 | @ | Stars1,IceHogs2 | RECAP | |||||||||||
| 2025-11-12 | @ | Thunderbirds3,Stars2 | RECAP | |||||||||||
| 2025-11-15 | @ | Eagles4,Stars1 | RECAP | |||||||||||
| 2025-11-17 | @ | Stars2,Condors1 | RECAP | |||||||||||
| 2025-11-19 | @ | Stars3,Firebirds2 | RECAP | |||||||||||
| 2025-11-20 | @ | Barracuda4,Stars3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Comets4,Stars3 | RECAP | |||||||||||
| 2025-11-26 | @ | Stars2,Wranglers1 (OT) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,515,723$ | 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,515,723$ | 2,515,723$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 977,728$ | 13,976$ | 699,942$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 19,532$ | 2,519,628$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,519,628$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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