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Full Scoreboard »» |
![]() | Texas Stars 17-22-8, 42pts · 14th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ethen Frank | 0 | C | 100.00 | 60 | 40 | 79 | 73 | 70 | 75 | 65 | 67 | 42 | 62 | 65 | 64 | 68 | 54 | 50 | 1 | 50 | 64 | 27 | 1,000,000$/2yrs | |||
Nikita Nesterenko | 0 | C/LW | 100.00 | 66 | 41 | 73 | 72 | 77 | 76 | 64 | 67 | 46 | 62 | 63 | 62 | 67 | 56 | 50 | 1 | 50 | 64 | 23 | 1,000,000$/2yrs | |||
Logan Morrison | 0 | C | 100.00 | 63 | 41 | 73 | 68 | 63 | 65 | 63 | 64 | 44 | 63 | 58 | 64 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 870,000$/1yrs | |||
MacKenzie Entwistle | 0 | C/RW | 100.00 | 69 | 50 | 65 | 67 | 71 | 70 | 68 | 61 | 52 | 57 | 57 | 61 | 62 | 65 | 52 | 1 | 50 | 61 | 25 | 1,750,000$/3yrs | |||
Joona Koppanen | 0 | LW | 100.00 | 62 | 42 | 72 | 62 | 66 | 68 | 67 | 60 | 53 | 60 | 54 | 60 | 59 | 55 | 50 | 1 | 50 | 59 | 27 | 1,000,000$/1yrs | |||
Dino Kambeitz | 0 | RW | 100.00 | 65 | 43 | 66 | 63 | 68 | 66 | 64 | 59 | 42 | 52 | 55 | 60 | 59 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/3yrs | |||
Marc McLaughlin | 0 | C/LW/RW | 100.00 | 62 | 42 | 70 | 62 | 65 | 66 | 64 | 60 | 49 | 58 | 53 | 58 | 58 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/3yrs | |||
Noah Philp | 0 | C | 100.00 | 59 | 41 | 64 | 60 | 60 | 62 | 60 | 59 | 56 | 56 | 56 | 58 | 58 | 52 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/2yrs | |||
Jimmy Huntington | 0 | C | 100.00 | 59 | 41 | 59 | 62 | 56 | 59 | 57 | 55 | 53 | 54 | 53 | 60 | 56 | 53 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/3yrs | |||
Ryan Shea | 0 | D | 100.00 | 62 | 40 | 79 | 73 | 82 | 82 | 67 | 68 | 40 | 62 | 63 | 72 | 68 | 56 | 50 | 1 | 50 | 68 | 28 | 1,250,000$/1yrs | |||
Isaak Phillips | 0 | D | 100.00 | 64 | 47 | 64 | 68 | 72 | 71 | 65 | 64 | 40 | 60 | 57 | 65 | 63 | 59 | 50 | 1 | 50 | 63 | 23 | 975,000$/1yrs | |||
Jake Livingstone | 0 | D | 100.00 | 66 | 43 | 68 | 66 | 70 | 69 | 65 | 62 | 40 | 57 | 56 | 68 | 61 | 53 | 50 | 1 | 50 | 63 | 26 | 975,000$/1yrs | |||
Joe Hicketts | 0 | D | 100.00 | 54 | 43 | 67 | 70 | 56 | 69 | 68 | 63 | 40 | 63 | 54 | 68 | 62 | 59 | 54 | 1 | 50 | 62 | 29 | 1,500,000$/2yrs | |||
Joseph Cecconi | 0 | D | 100.00 | 64 | 45 | 64 | 62 | 69 | 70 | 69 | 62 | 40 | 58 | 53 | 66 | 59 | 57 | 50 | 1 | 50 | 62 | 28 | 1,000,000$/1yrs | |||
Cole Clayton | 0 | D | 100.00 | 63 | 44 | 67 | 65 | 65 | 66 | 64 | 61 | 40 | 59 | 53 | 66 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 950,000$/1yrs | |||
Cameron Crotty | 0 | D | 100.00 | 59 | 44 | 66 | 65 | 65 | 67 | 66 | 61 | 40 | 55 | 51 | 62 | 59 | 54 | 50 | 1 | 50 | 60 | 26 | 950,000$/1yrs | |||
Luke Prokop | 0 | D | 100.00 | 67 | 40 | 69 | 60 | 73 | 61 | 58 | 56 | 40 | 52 | 52 | 64 | 56 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
Dennis Cesana | 0 | D | 100.00 | 56 | 40 | 71 | 65 | 61 | 64 | 62 | 55 | 40 | 52 | 50 | 61 | 57 | 55 | 50 | 1 | 50 | 58 | 27 | 1,000,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jack Malone | 0 | C/LW/RW | 100.00 | 59 | 40 | 68 | 60 | 62 | 63 | 62 | 58 | 41 | 54 | 55 | 54 | 58 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs | |||
Paul Ludwinski (R) | 0 | C | 100.00 | 59 | 41 | 66 | 61 | 61 | 61 | 60 | 58 | 41 | 54 | 55 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 900,000$/2yrs | |||
Rhett Pitlick (R) | 0 | C/LW/RW | 100.00 | 57 | 40 | 66 | 62 | 57 | 60 | 58 | 56 | 40 | 54 | 53 | 59 | 57 | 51 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
Drew Callin | 0 | C/LW/RW | 100.00 | 55 | 42 | 70 | 58 | 65 | 71 | 69 | 59 | 41 | 52 | 53 | 51 | 56 | 63 | 53 | 1 | 50 | 56 | 30 | 1,000,000$/3yrs | |||
Dalton Bancroft | 0 | C/LW/RW | 100.00 | 60 | 40 | 66 | 58 | 62 | 60 | 58 | 55 | 40 | 53 | 54 | 55 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
Philippe Daoust | 0 | C | 100.00 | 56 | 41 | 66 | 58 | 60 | 59 | 57 | 56 | 54 | 56 | 52 | 53 | 55 | 51 | 50 | 1 | 50 | 55 | 23 | 1,000,000$/3yrs | |||
Joel L'Esperance | 0 | RW | 100.00 | 54 | 41 | 60 | 55 | 58 | 61 | 60 | 57 | 43 | 53 | 54 | 51 | 55 | 58 | 50 | 1 | 50 | 54 | 29 | 2,000,000$/1yrs | |||
Austin Wagner | 0 | LW | 100.00 | 52 | 42 | 60 | 56 | 57 | 64 | 62 | 57 | 41 | 52 | 52 | 50 | 55 | 55 | 50 | 1 | 50 | 54 | 28 | 1,525,000$/2yrs | |||
Tyler Inamoto | 0 | D | 100.00 | 60 | 40 | 66 | 64 | 64 | 62 | 60 | 53 | 40 | 51 | 50 | 63 | 56 | 54 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/2yrs | |||
Bryce Montgomery (R) | 0 | D | 100.00 | 63 | 40 | 62 | 58 | 67 | 58 | 57 | 54 | 40 | 53 | 53 | 61 | 55 | 50 | 50 | 1 | 50 | 57 | 22 | 854,910$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Kraws | 0 | 100.00 | 64 | 56 | 56 | 66 | 62 | 60 | 61 | 58 | 62 | 60 | 51 | 52 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs |
Brett Brochu | 0 | 100.00 | 63 | 56 | 56 | 60 | 60 | 58 | 58 | 56 | 59 | 59 | 51 | 50 | 50 | 1 | 50 | 54 | 22 | 1,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Ethan Langenegger | 0 | 100.00 | 61 | 57 | 57 | 62 | 59 | 57 | 56 | 54 | 57 | 59 | 54 | 51 | 50 | 1 | 50 | 53 | 24 | 1,000,000$/3yrs |
Dante Giannuzzi | 0 | 100.00 | 53 | 48 | 48 | 54 | 50 | 47 | 46 | 44 | 47 | 50 | 44 | 50 | 50 | 1 | 50 | 46 | 22 | 1,000,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Bylsma | 79 | 82 | 81 | 89 | 79 | 73 | 1 | USA | 54 | 3 | 500,000$ |
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nikita Nesterenko | Stars (DAL) | C/LW | 47 | 16 | 26 | 42 | -8 | 12 | 0 | 59 | 130 | 36 | 75 | 12.31% | 19 | 22.44 | 5 | 8 | 13 | 0 | 1 | 1 | 54 | 3 | 2 | 48.02% | 0 | 0 | 0.89 | 2 | 3 | 0.78 | |||
| 2 | Ethen Frank | Stars (DAL) | C | 47 | 19 | 20 | 39 | -15 | 2 | 0 | 61 | 117 | 35 | 69 | 16.24% | 28 | 23.46 | 1 | 10 | 11 | 1 | 0 | 1 | 73 | 3 | 0 | 45.26% | 1 | 1 | 0.83 | 1 | 6 | 0.71 | |||
| 3 | Logan Morrison | Stars (DAL) | C | 47 | 11 | 14 | 25 | -14 | 11 | 5 | 69 | 84 | 19 | 50 | 13.10% | 12 | 20.28 | 0 | 3 | 3 | 1 | 0 | 1 | 39 | 1 | 2 | 50.58% | 0 | 0 | 0.53 | 1 | 3 | 0.41 | |||
| 4 | MacKenzie Entwistle | Stars (DAL) | C/RW | 47 | 10 | 14 | 24 | -13 | 32 | 10 | 80 | 72 | 32 | 50 | 13.89% | 15 | 22.62 | 5 | 3 | 8 | 1 | 1 | 2 | 34 | 3 | 1 | 46.91% | 0 | 0 | 0.51 | 1 | 6 | 0.31 | |||
| 5 | Ryan Shea | Stars (DAL) | D | 47 | 7 | 15 | 22 | -7 | 8 | 0 | 40 | 58 | 31 | 24 | 12.07% | 49 | 24.16 | 4 | 4 | 8 | 0 | 1 | 1 | 79 | 4 | 0 | 0.00% | 1 | 0 | 0.47 | 0 | 1 | 0.39 | |||
| 6 | Joona Koppanen | Stars (DAL) | LW | 47 | 7 | 12 | 19 | -16 | 16 | 10 | 54 | 54 | 10 | 38 | 12.96% | 18 | 19.47 | 1 | 2 | 3 | 0 | 0 | 0 | 29 | 0 | 0 | 51.28% | 0 | 0 | 0.40 | 0 | 2 | 0.23 | |||
| 7 | Dino Kambeitz | Stars (DAL) | RW | 47 | 6 | 4 | 10 | -19 | 25 | 5 | 68 | 43 | 8 | 17 | 13.95% | 18 | 18.73 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 57.89% | 0 | 0 | 0.21 | 0 | 1 | 0.03 | |||
| 8 | Joe Hicketts | Stars (DAL) | D | 47 | 0 | 9 | 9 | -17 | 22 | 10 | 25 | 29 | 11 | 14 | 0.00% | 42 | 20.62 | 0 | 1 | 1 | 0 | 1 | 1 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.00 | |||
| 9 | Marc McLaughlin | Stars (DAL) | C/LW/RW | 47 | 5 | 3 | 8 | -20 | 10 | 0 | 55 | 35 | 18 | 21 | 14.29% | 11 | 17.41 | 2 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 42.22% | 1 | 0 | 0.17 | 0 | 0 | 0.02 | |||
| 10 | Isaak Phillips | Stars (DAL) | D | 47 | 1 | 5 | 6 | -12 | 41 | 5 | 52 | 48 | 22 | 21 | 2.08% | 48 | 23.74 | 0 | 3 | 3 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | -0.01 | |||
| 11 | Jake Livingstone | Stars (DAL) | D | 47 | 1 | 5 | 6 | -21 | 10 | 0 | 29 | 17 | 9 | 7 | 5.88% | 35 | 19.41 | 1 | 2 | 3 | 0 | 0 | 0 | 38 | 0 | 0 | 100.00% | 0 | 0 | 0.13 | 0 | 0 | -0.05 | |||
| 12 | Noah Philp | Stars (DAL) | C | 47 | 0 | 4 | 4 | -20 | 10 | 0 | 44 | 25 | 8 | 18 | 0.00% | 9 | 14.49 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 47.21% | 0 | 0 | 0.09 | 0 | 0 | -0.07 | |||
| 13 | Jimmy Huntington | Stars (DAL) | C | 24 | 0 | 2 | 2 | -3 | 4 | 0 | 16 | 2 | 0 | 2 | 0.00% | 6 | 9.27 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 52.27% | 0 | 0 | 0.08 | 0 | 0 | 0.00 | |||
| 14 | Joseph Cecconi | Stars (DAL) | D | 47 | 0 | 2 | 2 | -12 | 17 | 5 | 18 | 6 | 1 | 1 | 0.00% | 22 | 14.70 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 75.00% | 0 | 0 | 0.04 | 0 | 0 | -0.10 | |||
| 15 | Luke Prokop | Stars (DAL) | D | 39 | 1 | 0 | 1 | -3 | 2 | 0 | 15 | 8 | 0 | 2 | 12.50% | 4 | 9.64 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.03 | 0 | 0 | 0.00 | |||
| 16 | Cole Clayton | Stars (DAL) | D | 47 | 0 | 1 | 1 | -13 | 4 | 0 | 8 | 5 | 1 | 0 | 0.00% | 13 | 10.44 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.08 | |||
| 17 | Austin Wagner | Stars (DAL) | LW | 8 | 0 | 0 | 0 | -3 | 0 | 0 | 18 | 6 | 3 | 3 | 0.00% | 2 | 17.74 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 25.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| 18 | Paul Ludwinski | Stars (DAL) | C | 6 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 0 | 1 | 0 | 0.00% | 0 | 8.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
| 19 | Cameron Crotty | Stars (DAL) | D | 47 | 0 | 0 | 0 | 1 | 4 | 0 | 6 | 1 | 1 | 2 | 0.00% | 2 | 6.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| 20 | Drew Callin | Stars (DAL) | C/LW/RW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 2 | 0.00% | 1 | 12.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
| 21 | Dennis Cesana | Stars (DAL) | D | 33 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| 22 | Tyler Inamoto | Stars (DAL) | D | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 846 | 84 | 136 | 220 | -218 | 232 | 50 | 728 | 741 | 246 | 416 | 11.34% | 355 | 16.61 | 21 | 36 | 57 | 759 | 3 | 4 | 7 | 540 | 15 | 5 | 46.93% | 1907 | 199 | 291 | 3 | 1 | 0.31 | 5 | 22 |
| 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 | Brett Brochu | Stars (DAL) | 32 | 13 | 14 | 5 | 0.881 | 2.66 | 1870 | 0 | 6 | 83 | 698 | 372 | 1 | 1 | 0.500 | 8 | 32 | 14 | 3 | 1 | 2 |
| 2 | Ben Kraws | Stars (DAL) | 17 | 4 | 8 | 3 | 0.880 | 2.88 | 979 | 0 | 1 | 47 | 391 | 232 | 1 | 0 | 0.643 | 14 | 15 | 32 | 1 | 2 | 0 |
| Team Total or Average | 49 | 17 | 22 | 8 | 0.881 | 2.74 | 2849 | 0 | 7 | 130 | 1089 | 604 | 2 | 1 | 0.591 | 22 | 47 | 46 | 4 | 3 | 2 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Austin Wagner | LW | 28 | 1,525,000$ | 1,525,000$ | 1,525,000$ | UFA | |||||
| Ben Kraws | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Brett Brochu | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Bryce Montgomery | D | 22 | 854,910$ | 975,000$ | 975,000$ | ||||||
| Cameron Crotty | D | 26 | 950,000$ | 975,000$ | |||||||
| Cole Clayton | D | 25 | 950,000$ | 975,000$ | |||||||
| Dalton Bancroft | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Dante Giannuzzi | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Dennis Cesana | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Dino Kambeitz | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Drew Callin | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Ethan Langenegger | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Ethen Frank | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Isaak Phillips | D | 23 | 975,000$ | 975,000$ | |||||||
| Jack Malone | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jake Livingstone | D | 26 | 975,000$ | 975,000$ | |||||||
| Jimmy Huntington | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Joe Hicketts | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Joel L'Esperance | RW | 29 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Joona Koppanen | LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Joseph Cecconi | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Logan Morrison | C | 22 | 870,000$ | 975,000$ | RFA | ||||||
| Luke Prokop | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| MacKenzie Entwistle | C/RW | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
| Marc McLaughlin | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Nikita Nesterenko | C/LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Noah Philp | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Paul Ludwinski | C | 21 | 900,000$ | 975,000$ | 975,000$ | RFA | |||||
| Philippe Daoust | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Rhett Pitlick | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
| Ryan Shea | D | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Tyler Inamoto | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 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 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 9 | 29 | 45 | 6 | 28 | 139 | 246 | 352 | 26 | 15 | 7 | 13 | 33 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 40.0% | 14.3% | 80.0% | 94.3 | FUN |
| 2 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 29 | 45 | 6 | 18 | 139 | 246 | 352 | 26 | 36 | 8 | 6 | 36 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 16.7% | 5.6% | 83.3% | 88.9 | Unlucky |
| 3 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 9 | 29 | 45 | 6 | 17 | 139 | 246 | 352 | 26 | 36 | 19 | 10 | 13 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 25.0% | 5.9% | 86.1% | 92.0 | Unlucky |
| 4 | Americans | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0.500 | 0 | 0 | 0 | 0 | 0 | 9 | 29 | 45 | 6 | 9 | 139 | 246 | 352 | 26 | 8 | 3 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 0.0% | 0.0% | 87.5% | 87.5 | Unlucky |
| 5 | Heat | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 1 | 2 | 3 | 0 | 0 | 9 | 29 | 45 | 6 | 16 | 139 | 246 | 352 | 26 | 25 | 6 | 9 | 23 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 25.0% | 6.3% | 88.0% | 94.3 | Unlucky |
| 6 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 29 | 45 | 6 | 15 | 139 | 246 | 352 | 26 | 31 | 9 | 11 | 17 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 0.0% | 6.7% | 80.6% | 87.3 | Unlucky |
| 7 | IceHogs | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 16 | -11 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 9 | 29 | 45 | 6 | 53 | 139 | 246 | 352 | 26 | 124 | 44 | 14 | 70 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 26.3% | 9.4% | 87.1% | 96.5 | FUN |
| 8 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 9 | 29 | 45 | 6 | 14 | 139 | 246 | 352 | 26 | 12 | 6 | 0 | 16 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 75.0% | 21.4% | 91.7% | 113.1 | LUCKY |
| 9 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 16 | -14 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 9 | 29 | 45 | 6 | 41 | 139 | 246 | 352 | 26 | 92 | 18 | 17 | 30 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 7.1% | 4.9% | 82.6% | 87.5 | Unlucky |
| 10 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 9 | 29 | 45 | 6 | 14 | 139 | 246 | 352 | 26 | 12 | 7 | 4 | 16 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 1 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY |
| 11 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 9 | 29 | 45 | 6 | 29 | 139 | 246 | 352 | 26 | 36 | 9 | 4 | 38 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 42.9% | 13.8% | 86.1% | 99.9 | FUN |
| 12 | Wild | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 9 | 29 | 45 | 6 | 29 | 139 | 246 | 352 | 26 | 19 | 8 | 9 | 19 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 33.3% | 6.9% | 84.2% | 91.1 | Unlucky |
| 13 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 9 | 29 | 45 | 6 | 38 | 139 | 246 | 352 | 26 | 25 | 13 | 6 | 35 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 1 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 14.3% | 5.3% | 76.0% | 81.3 | Unlucky |
| 14 | Admirals | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 4 | 7 | -3 | 3 | 0.500 | 4 | 6 | 10 | 0 | 1 | 9 | 29 | 45 | 6 | 32 | 139 | 246 | 352 | 26 | 54 | 17 | 15 | 39 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 37.5% | 12.5% | 87.0% | 99.5 | FUN |
| 15 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 9 | 29 | 45 | 6 | 44 | 139 | 246 | 352 | 26 | 78 | 26 | 16 | 20 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 16.7% | 6.8% | 85.9% | 92.7 | Unlucky |
| 16 | Belleville Senators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 9 | 29 | 45 | 6 | 35 | 139 | 246 | 352 | 26 | 33 | 12 | 15 | 15 | 5 | 3 | 60.00% | 5 | 2 | 60.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 60.0% | 17.1% | 87.9% | 105.0 | FUN |
| 17 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 9 | 29 | 45 | 6 | 21 | 139 | 246 | 352 | 26 | 47 | 14 | 4 | 40 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 33.3% | 14.3% | 89.4% | 103.6 | FUN |
| 18 | Penguins | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 6 | 0.600 | 15 | 22 | 37 | 0 | 0 | 9 | 29 | 45 | 6 | 118 | 139 | 246 | 352 | 26 | 170 | 45 | 34 | 72 | 13 | 2 | 15.38% | 12 | 3 | 75.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 56.5% | 12.7% | 92.4% | 105.1 | LUCKY |
| 19 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 9 | 29 | 45 | 6 | 21 | 139 | 246 | 352 | 26 | 9 | 3 | 4 | 13 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 0.0% | 9.5% | 100.0% | 109.5 | LUCKY |
| 20 | Thunderbirds | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 3 | 10 | -7 | 1 | 0.167 | 3 | 5 | 8 | 0 | 0 | 9 | 29 | 45 | 6 | 48 | 139 | 246 | 352 | 26 | 113 | 31 | 10 | 46 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 25.0% | 6.3% | 91.2% | 97.4 | DULL |
| 21 | Crunch | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 9 | 29 | 45 | 6 | 13 | 139 | 246 | 352 | 26 | 12 | 4 | 2 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 40.0% | 15.4% | 75.0% | 90.4 | FUN |
| 22 | Canucks | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 9 | 29 | 45 | 6 | 28 | 139 | 246 | 352 | 26 | 31 | 19 | 2 | 19 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 50.0% | 17.9% | 80.6% | 98.5 | FUN |
| 23 | Hershey Bears | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 9 | 29 | 45 | 6 | 14 | 139 | 246 | 352 | 26 | 16 | 3 | 0 | 11 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY |
| 24 | Silver Knights | 4 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 11 | 5 | 6 | 8 | 1.000 | 11 | 15 | 26 | 0 | 2 | 9 | 29 | 45 | 6 | 35 | 139 | 246 | 352 | 26 | 38 | 16 | 25 | 58 | 3 | 2 | 66.67% | 6 | 3 | 50.00% | 1 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 81.8% | 31.4% | 86.8% | 118.3 | FUN |
| 25 | Checkers 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 9 | 29 | 45 | 6 | 11 | 139 | 246 | 352 | 26 | 18 | 8 | 2 | 18 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 100.0% | 18.2% | 100.0% | 118.2 | LUCKY |
| _Vs Division | 13 | 2 | 11 | 0 | 1 | 1 | 2 | 2 | 29 | 22 | 7 | 13 | 0.500 | 29 | 45 | 74 | 0 | 4 | 9 | 29 | 45 | 6 | 168 | 139 | 246 | 352 | 26 | 172 | 68 | 59 | 202 | 23 | 8 | 34.78% | 18 | 5 | 72.22% | 1 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 55.3% | 17.3% | 87.2% | 104.5 | FUN | |
| _Vs Conference | 30 | 8 | 14 | 0 | 1 | 3 | 2 | 2 | 47 | 80 | -33 | 27 | 0.450 | 47 | 75 | 122 | 0 | 5 | 9 | 29 | 45 | 6 | 396 | 139 | 246 | 352 | 26 | 638 | 195 | 132 | 479 | 51 | 12 | 23.53% | 47 | 15 | 68.09% | 1 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 35.0% | 11.9% | 87.5% | 99.3 | FUN | |
| _Since Last GM Reset | 47 | 14 | 22 | 0 | 1 | 4 | 2 | 4 | 86 | 135 | -49 | 42 | 0.447 | 86 | 136 | 222 | 1 | 7 | 9 | 29 | 45 | 6 | 741 | 139 | 246 | 352 | 26 | 1090 | 355 | 232 | 728 | 95 | 21 | 22.11% | 87 | 24 | 72.41% | 3 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 36.9% | 11.6% | 87.6% | 99.2 | FUN | |
| Total | 47 | 14 | 22 | 0 | 1 | 4 | 2 | 4 | 86 | 135 | -49 | 42 | 0.447 | 86 | 136 | 222 | 1 | 7 | 9 | 29 | 45 | 6 | 741 | 139 | 246 | 352 | 26 | 1090 | 355 | 232 | 728 | 95 | 21 | 22.11% | 87 | 24 | 72.41% | 3 | 312 | 653 | 47.78% | 345 | 737 | 46.81% | 238 | 491 | 48.47% | 803 | 295 | 907 | 500 | 1140 | 584 | 36.9% | 11.6% | 87.6% | 99.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 653 |
| Neutral Zone Start | 491 |
| Defensive Zone Start | 737 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 895 |
| Faceoffs Lost | 986 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.0 | 9.57 |
| 2nd Period | 8.2 | 20.31 |
| 3rd Period | 15.7 | 30.68 |
| Overtime | 16.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.8 | 1.65 |
| 3rd Period | 1.8 | 2.67 |
| Overtime | 1.9 | 2.83 |
| Even Strenght Goal | 61 |
|---|---|
| PP Goal | 21 |
| PK Goal | 3 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 9 | 8 |
| Lost | 10 | 12 |
| Overtime Lost | 4 | 4 |
| PP Attempt | 95 |
|---|---|
| PP Goal | 21 |
| PK Attempt | 87 |
| PK Goal Against | 24 |
| Home | |
|---|---|
| Shots For | 15.8 |
| Shots Against | 23.2 |
| Goals For | 1.8 |
| Goals Against | 2.9 |
| Hits | 15.5 |
| Shots Blocked | 7.6 |
| Pim | 4.9 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | DAL | @ | PIT | DAL1,PIT4 | RECAP | |||||||||
| Fri, Oct 10 | PIT | @ | DAL | PIT1,DAL4 | RECAP | |||||||||
| Mon, Oct 13 | CHI | @ | DAL | CHI1,DAL2 (SO) | RECAP | |||||||||
| Wed, Oct 15 | DAL | @ | CHI | DAL0,CHI2 | RECAP | |||||||||
| Fri, Oct 17 | CHI | @ | DAL | CHI6,DAL2 | RECAP | |||||||||
| Sun, Oct 19 | DAL | @ | DET | DAL0,DET6 | RECAP | |||||||||
| Tue, Oct 21 | NAS | @ | DAL | NAS2,DAL1 (SO) | RECAP | |||||||||
| Thu, Oct 23 | DAL | @ | STL | DAL2,STL3 (SO) | RECAP | |||||||||
| Sat, Oct 25 | STL | @ | DAL | STL3,DAL1 | RECAP | |||||||||
| Sun, Oct 26 | DAL | @ | WPG | DAL1,WPG4 | RECAP | |||||||||
| Wed, Oct 29 | DAL | @ | PIT | DAL3,PIT5 | RECAP | |||||||||
| Fri, Oct 31 | PIT | @ | DAL | PIT1,DAL4 | RECAP | |||||||||
| Sun, Nov 2 | DAL | @ | CHI | DAL3,CHI5 | RECAP | |||||||||
| Mon, Nov 3 | DAL | @ | NAS | DAL2,NAS5 | RECAP | |||||||||
| Wed, Nov 5 | ANA | @ | DAL | ANA1,DAL3 | RECAP | |||||||||
| Sat, Nov 8 | DAL | @ | CHI | DAL1,CHI0 (SO) | RECAP | |||||||||
| Sun, Nov 9 | MIN | @ | DAL | MIN3,DAL2 (OT) | RECAP | |||||||||
| Tue, Nov 11 | DAL | @ | WPG | DAL0,WPG2 | RECAP | |||||||||
| Wed, Nov 12 | BOS | @ | DAL | BOS5,DAL1 | RECAP | |||||||||
| Fri, Nov 14 | DAL | @ | PHO | DAL0,PHO4 | RECAP | |||||||||
| Sun, Nov 16 | NYR | @ | DAL | NYR6,DAL2 | RECAP | |||||||||
| Tue, Nov 18 | DAL | @ | COL | DAL3,COL1 | RECAP | |||||||||
| Thu, Nov 20 | STL | @ | DAL | STL4,DAL0 | RECAP | |||||||||
| Sat, Nov 22 | LOS | @ | DAL | LOS4,DAL0 | RECAP | |||||||||
| Mon, Nov 24 | DAL | @ | WAS | DAL2,WAS0 | RECAP | |||||||||
| Thu, Nov 27 | CHI | @ | DAL | CHI3,DAL0 | RECAP | |||||||||
| Sat, Nov 29 | FLO | @ | DAL | FLO0,DAL2 | RECAP | |||||||||
| Sun, Nov 30 | DAL | @ | OTT | DAL6,OTT4 | RECAP | |||||||||
| Wed, Dec 3 | DAL | @ | S J | DAL2,S J0 | RECAP | |||||||||
| Thu, Dec 4 | CHI | @ | DAL | CHI4,DAL5 | RECAP | |||||||||
| Sun, Dec 7 | DAL | @ | LOS | DAL4,LOS1 | RECAP | |||||||||
| Mon, Dec 8 | DAL | @ | TAM | DAL2,TAM3 (SO) | RECAP | |||||||||
| Wed, Dec 10 | CAL | @ | DAL | CAL2,DAL1 (OT) | RECAP | |||||||||
| Fri, Dec 12 | DAL | @ | SEA | DAL2,SEA0 | RECAP | |||||||||
| Sun, Dec 14 | PIT | @ | DAL | PIT2,DAL3 | RECAP | |||||||||
| Tue, Dec 16 | DAL | @ | VAN | DAL5,VAN6 (SO) | RECAP | |||||||||
| Thu, Dec 18 | BUF | @ | DAL | BUF1,DAL0 (OT) | RECAP | |||||||||
| Sun, Dec 21 | NAS | @ | DAL | NAS0,DAL1 (OT) | RECAP | |||||||||
| Wed, Dec 24 | DAL | @ | CAL | DAL0,CAL1 (OT) | RECAP | |||||||||
| Fri, Dec 26 | DAL | @ | NYR | DAL1,NYR5 | RECAP | |||||||||
| Sat, Dec 27 | CAR | @ | DAL | CAR6,DAL1 | RECAP | |||||||||
| Tue, Dec 30 | DAL | @ | DET | DAL2,DET10 | RECAP | |||||||||
| Wed, Dec 31 | MTL | @ | DAL | MTL4,DAL2 | RECAP | |||||||||
| Sun, Jan 4 | ANA | @ | DAL | ANA2,DAL1 | RECAP | |||||||||
| Tue, Jan 6 | DAL | @ | MTL | DAL0,MTL2 | RECAP | |||||||||
| Thu, Jan 8 | PHO | @ | DAL | PHO1,DAL3 | RECAP | |||||||||
| Sat, Jan 10 | DAL | @ | CHI | DAL3,CHI0 | RECAP | |||||||||
| Mon, Jan 12 | VAN | @ | DAL | |||||||||||
| Wed, Jan 14 | DAL | @ | PHI | |||||||||||
| Thu, Jan 15 | DAL | @ | BUF | |||||||||||
| Fri, Jan 16 | MIN | @ | DAL | |||||||||||
| Mon, Jan 19 | DAL | @ | EDM | |||||||||||
| Wed, Jan 21 | TOR | @ | DAL | |||||||||||
| Sat, Jan 24 | DAL | @ | STL | |||||||||||
| Sun, Jan 25 | CLB | @ | DAL | |||||||||||
| Tue, Jan 27 | COL | @ | DAL | |||||||||||
| Thu, Jan 29 | DAL | @ | PIT | |||||||||||
| Sat, Jan 31 | NYI | @ | DAL | |||||||||||
| Tue, Feb 3 | DAL | @ | NJD | |||||||||||
| Wed, Feb 4 | DET | @ | DAL | |||||||||||
| Sat, Feb 7 | DAL | @ | BOS | |||||||||||
| Sun, Feb 8 | S J | @ | DAL | |||||||||||
| Wed, Feb 11 | DAL | @ | TOR | |||||||||||
| Thu, Feb 12 | SEA | @ | DAL | |||||||||||
| Sun, Feb 15 | DAL | @ | FLO | |||||||||||
| Mon, Feb 16 | DET | @ | DAL | |||||||||||
| Thu, Feb 19 | TAM | @ | DAL | |||||||||||
| Fri, Feb 20 | DAL | @ | NAS | |||||||||||
| Sat, Feb 21 | DAL | @ | NYI | |||||||||||
| Tue, Feb 24 | PHI | @ | DAL | |||||||||||
| Fri, Feb 27 | DAL | @ | CHI | |||||||||||
| Sat, Feb 28 | EDM | @ | DAL | |||||||||||
| Mon, Mar 2 | DAL | @ | ANA | |||||||||||
| Wed, Mar 4 | WAS | @ | DAL | |||||||||||
| Sat, Mar 7 | NJD | @ | DAL | |||||||||||
| Sun, Mar 8 | DAL | @ | CLB | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 11 | DAL | @ | MIN | |||||||||||
| Thu, Mar 12 | WPG | @ | DAL | |||||||||||
| Sun, Mar 15 | OTT | @ | DAL | |||||||||||
| Wed, Mar 18 | DAL | @ | MIN | |||||||||||
| Sun, Mar 22 | WPG | @ | DAL | |||||||||||
| Tue, Mar 24 | DAL | @ | CAR | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,480,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Texas | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 18 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,480,000$ | 3,480,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,260,800$ | 0$ | 1,976,832$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 96 | 23,550$ | 1,719,150$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,719,150$ | 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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