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Full Scoreboard »» |
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Full Scoreboard »» |
| Texas Stars 0-0-0, 0pts · 14th 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 | 74 | 35 | 84 | 61 | 64 | 75 | 85 | 60 | 60 | 64 | 66 | 52 | 63 | 75 | 73 | 0 | 40 | 73 | 30 | 850,000$/1yrs | |||
Noah Gregor | 0 | C/LW | 100.00 | 74 | 44 | 83 | 58 | 74 | 72 | 79 | 56 | 60 | 57 | 60 | 63 | 58 | 71 | 69 | 0 | 39 | 70 | 27 | 850,000$/1yrs | |||
Joona Koppanen | 19 | C | 100.00 | 81 | 34 | 96 | 55 | 89 | 76 | 69 | 50 | 72 | 54 | 56 | 68 | 53 | 72 | 71 | 0 | 48 | 69 | 28 | 775,000$/1yrs | |||
Andre Lee | 0 | LW | 100.00 | 80 | 43 | 85 | 55 | 85 | 71 | 69 | 56 | 55 | 59 | 59 | 58 | 57 | 67 | 66 | 0 | 38 | 69 | 25 | 800,000$/1yrs | |||
Scott Reedy | 0 | C | 100.00 | 61 | 39 | 88 | 55 | 84 | 65 | 71 | 62 | 66 | 56 | 55 | 65 | 56 | 64 | 63 | 0 | 45 | 68 | 27 | 800,000$/2yrs | |||
Alexandre Doucet | 0 | C | 100.00 | 65 | 39 | 82 | 56 | 71 | 63 | 87 | 59 | 67 | 55 | 54 | 62 | 54 | 59 | 57 | 0 | 28 | 67 | 24 | 800,000$/2yrs | |||
Olivier Nadeau (R) | 0 | RW | 100.00 | 70 | 40 | 74 | 57 | 81 | 63 | 69 | 58 | 69 | 55 | 56 | 61 | 56 | 57 | 55 | 0 | 31 | 67 | 23 | 836,667$/1yrs | |||
Reece Vitelli | 0 | C | 100.00 | 65 | 38 | 83 | 53 | 69 | 61 | 71 | 61 | 49 | 54 | 50 | 64 | 52 | 61 | 59 | 0 | 30 | 66 | 24 | 800,000$/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 | 40 | 66 | 25 | 800,000$/2yrs | |||
Sahil Panwar | 0 | LW | 100.00 | 68 | 39 | 77 | 54 | 74 | 61 | 75 | 60 | 47 | 53 | 52 | 63 | 52 | 59 | 57 | 0 | 42 | 66 | 24 | 800,000$/2yrs | |||
Ryan Gagnier | 0 | C | 100.00 | 60 | 38 | 91 | 53 | 72 | 61 | 74 | 60 | 66 | 50 | 54 | 63 | 52 | 59 | 58 | 0 | 39 | 65 | 23 | 800,000$/2yrs | |||
Sawyer Boulton | 0 | C/LW/RW | 100.00 | 99 | 46 | 50 | 53 | 80 | 60 | 71 | 58 | 68 | 50 | 51 | 61 | 51 | 55 | 50 | 0 | 43 | 65 | 21 | 800,000$/2yrs | |||
Cam Dineen | 12 | D | 100.00 | 63 | 38 | 86 | 59 | 72 | 69 | 83 | 56 | 30 | 65 | 55 | 67 | 60 | 66 | 65 | 0 | 40 | 73 | 27 | 775,000$/1yrs | |||
Scott Morrow (R) | 0 | D | 100.00 | 58 | 33 | 96 | 64 | 78 | 81 | 72 | 54 | 30 | 66 | 54 | 57 | 54 | 63 | 63 | 0 | 48 | 72 | 23 | 916,667$/1yrs | |||
Lian Bichsel (R) | 0 | D | 100.00 | 92 | 40 | 70 | 55 | 95 | 80 | 79 | 51 | 30 | 58 | 61 | 59 | 56 | 61 | 58 | 0 | 34 | 70 | 22 | 950,000$/1yrs | |||
Domenick Fensore (R) | 0 | D | 100.00 | 67 | 37 | 79 | 56 | 55 | 66 | 87 | 54 | 30 | 62 | 55 | 64 | 59 | 61 | 59 | 0 | 43 | 70 | 24 | 900,000$/3yrs | |||
Jacob Bernard-Docker | 0 | D | 100.00 | 67 | 37 | 86 | 55 | 74 | 79 | 81 | 52 | 30 | 58 | 55 | 63 | 53 | 68 | 66 | 0 | 33 | 69 | 25 | 805,000$/1yrs | |||
Isaac Belliveau (R) | 0 | D | 100.00 | 69 | 40 | 76 | 51 | 75 | 63 | 72 | 49 | 30 | 57 | 51 | 63 | 54 | 59 | 57 | 0 | 42 | 66 | 23 | 875,000$/1yrs | |||
Hunter McDonald (R) | 0 | D | 100.00 | 88 | 43 | 50 | 50 | 84 | 62 | 89 | 49 | 30 | 55 | 51 | 63 | 53 | 59 | 54 | 0 | 25 | 66 | 24 | 950,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Brandon Gignac | 51 | C | 100.00 | 70 | 39 | 75 | 55 | 71 | 66 | 69 | 64 | 75 | 58 | 54 | 67 | 56 | 68 | 65 | 0 | 26 | 69 | 28 | 800,000$/3yrs | |||
Austin Rueschhoff | 0 | RW | 100.00 | 71 | 42 | 73 | 52 | 95 | 64 | 86 | 64 | 69 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 30 | 68 | 28 | 800,000$/1yrs | |||
Filip Cederqvist (R) | 0 | LW | 100.00 | 65 | 40 | 83 | 51 | 82 | 61 | 84 | 62 | 67 | 50 | 51 | 65 | 51 | 62 | 61 | 0 | 20 | 66 | 25 | 800,000$/1yrs | |||
Karl Henriksson (R) | 0 | C | 100.00 | 60 | 37 | 91 | 52 | 66 | 61 | 88 | 61 | 67 | 50 | 52 | 64 | 51 | 61 | 60 | 0 | 21 | 65 | 25 | 800,000$/1yrs | |||
Alexander Kisakov (R) | 0 | LW | 100.00 | 64 | 38 | 84 | 52 | 64 | 60 | 79 | 60 | 69 | 49 | 51 | 63 | 50 | 59 | 57 | 0 | 25 | 64 | 23 | 900,000$/3yrs | |||
Calle Odelius (R) | 0 | D | 100.00 | 61 | 38 | 90 | 50 | 75 | 61 | 83 | 48 | 30 | 56 | 50 | 61 | 53 | 55 | 54 | 0 | 22 | 65 | 21 | 815,000$/2yrs | |||
Ryan Mast (R) | 0 | D | 100.00 | 63 | 40 | 86 | 50 | 88 | 61 | 78 | 48 | 30 | 55 | 50 | 62 | 53 | 57 | 56 | 0 | 25 | 65 | 23 | 830,556$/1yrs | |||
Kirill Kirsanov (R) | 0 | D | 100.00 | 58 | 39 | 94 | 49 | 86 | 62 | 71 | 48 | 30 | 52 | 54 | 63 | 53 | 59 | 58 | 0 | 29 | 65 | 23 | ||||
Filip Johansson (R) | 0 | D | 100.00 | 59 | 38 | 93 | 47 | 71 | 61 | 75 | 46 | 30 | 52 | 49 | 65 | 50 | 62 | 62 | 0 | 29 | 64 | 26 | 800,000$/1yrs | |||
Dyllan Gill (R) | 0 | D | 100.00 | 60 | 39 | 91 | 47 | 79 | 61 | 71 | 47 | 30 | 52 | 53 | 61 | 52 | 55 | 55 | 0 | 22 | 64 | 21 | 870,000$/2yrs | |||
Jackson Edward (R) | 0 | D | 100.00 | 63 | 39 | 86 | 49 | 79 | 61 | 75 | 48 | 30 | 54 | 51 | 61 | 53 | 55 | 54 | 0 | 27 | 64 | 22 | 816,666$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Holm | 0 | 100.00 | 74 | 78 | 71 | 85 | 66 | 76 | 75 | 74 | 76 | 74 | 75 | 67 | 68 | 0 | 36 | 78 | 27 | 800,000$/1yrs |
Hunter Jones | 0 | 100.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 47 | 75 | 25 | 900,000$/1yrs |
| Scratches | ||||||||||||||||||||
Thomas Milic | 0 | 100.00 | 69 | 68 | 67 | 69 | 73 | 75 | 68 | 69 | 75 | 76 | 70 | 58 | 58 | 0 | 25 | 74 | 23 | 841,667$/2yrs |
Zachary Sawchenko | 36 | 100.00 | 68 | 57 | 67 | 74 | 69 | 73 | 70 | 68 | 73 | 72 | 70 | 67 | 71 | 0 | 22 | 73 | 28 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spencer Carbery | 77 | 83 | 82 | 79 | 68 | 86 | 85 | CAN | 44 | 4 | 1,000,000$ |
| 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 |
|---|
| 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 |
|---|
| 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 | 24 | 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 | 26 | 800,000$ | 800,000$ | |||||||
| Hunter Jones | G | 25 | 900,000$ | 900,000$ | |||||||
| Hunter McDonald | D | 24 | 950,000$ | 950,000$ | |||||||
| Isaac Belliveau | D | 23 | 875,000$ | 875,000$ | RFA | ||||||
| Jackson Edward | D | 22 | 816,666$ | 816,666$ | 816,666$ | RFA | |||||
| Jacob Bernard-Docker | D | 25 | 805,000$ | 805,000$ | |||||||
| Joona Koppanen | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
| Karl Henriksson | C | 25 | 800,000$ | 800,000$ | |||||||
| Kirill Kirsanov | D | 23 | 0$ | RFA | |||||||
| Lian Bichsel | D | 22 | 950,000$ | 950,000$ | RFA | ||||||
| Michael Carcone | C/LW | 30 | 850,000$ | 850,000$ | UFA | ||||||
| Noah Gregor | C/LW | 27 | 850,000$ | 850,000$ | UFA | ||||||
| Olivier Nadeau | RW | 23 | 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 | 23 | 830,556$ | 830,556$ | RFA | ||||||
| Sahil Panwar | LW | 24 | 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 | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Simon Pinard | C/LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Thomas Milic | G | 23 | 841,667$ | 841,667$ | 841,667$ | ||||||
| Zachary Sawchenko | G | 28 | 800,000$ | 800,000$ | 800,000$ | UFA |
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| 1st Power Play Unit | |||||||
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| Goalies | |||||||
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | nan | 9.57 |
| 2nd Period | nan | 20.31 |
| 3rd Period | nan | 30.68 |
| Overtime | nan | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | nan | 0.64 |
| 2nd Period | nan | 1.65 |
| 3rd Period | nan | 2.67 |
| Overtime | nan | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,335,724$ | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| 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 |
| 36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,335,724$ | 2,335,724$ | 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$ | 6 | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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