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Full Scoreboard »» |
![]() | Stockton Heat 9-18-3, 21pts · 16th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mackie Samoskevich | 0 | RW | 100.00 | 72 | 41 | 84 | 79 | 72 | 75 | 71 | 75 | 42 | 71 | 70 | 66 | 75 | 55 | 50 | 1 | 50 | 69 | 22 | 975,000$/2yrs | |||
Tyson Kozak | 0 | C | 100.00 | 64 | 41 | 77 | 71 | 71 | 73 | 62 | 63 | 62 | 58 | 59 | 61 | 65 | 51 | 50 | 1 | 50 | 62 | 22 | 975,000$/1yrs | |||
Tye Felhaber | 0 | LW | 100.00 | 62 | 54 | 58 | 69 | 62 | 67 | 65 | 63 | 43 | 60 | 59 | 63 | 63 | 54 | 50 | 1 | 50 | 61 | 26 | 2,887,887$/1yrs | |||
Jacob Gaucher | 0 | C | 100.00 | 62 | 43 | 68 | 65 | 64 | 66 | 65 | 62 | 43 | 59 | 59 | 58 | 62 | 52 | 50 | 1 | 50 | 60 | 24 | 2,487,887$/1yrs | |||
Sasha Pastujov | 0 | RW | 100.00 | 60 | 41 | 72 | 65 | 64 | 61 | 59 | 63 | 43 | 62 | 58 | 57 | 62 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/2yrs | |||
Matt Luff | 0 | RW | 100.00 | 58 | 43 | 68 | 61 | 66 | 68 | 66 | 64 | 43 | 61 | 59 | 54 | 61 | 57 | 50 | 1 | 50 | 59 | 28 | 1,500,000$/2yrs | |||
Ben King | 0 | C | 100.00 | 60 | 44 | 66 | 61 | 67 | 64 | 63 | 62 | 58 | 59 | 57 | 53 | 60 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/2yrs | |||
Adam Sykora (R) | 0 | LW | 100.00 | 56 | 40 | 74 | 65 | 59 | 60 | 58 | 63 | 43 | 61 | 55 | 52 | 61 | 50 | 50 | 1 | 50 | 58 | 20 | 975,000$/3yrs | |||
Luke Philp | 0 | C | 100.00 | 54 | 41 | 72 | 65 | 59 | 69 | 67 | 60 | 53 | 59 | 55 | 54 | 60 | 59 | 50 | 1 | 50 | 58 | 29 | 1,300,001$/1yrs | |||
Lucas Ciona | 0 | LW | 100.00 | 64 | 49 | 59 | 60 | 69 | 63 | 62 | 60 | 42 | 57 | 54 | 56 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Adam Wilsby | 0 | D | 100.00 | 63 | 41 | 78 | 74 | 73 | 78 | 64 | 67 | 40 | 62 | 61 | 70 | 67 | 52 | 50 | 1 | 50 | 66 | 24 | 975,000$/1yrs | |||
Robbie Russo | 0 | D | 100.00 | 55 | 43 | 68 | 66 | 61 | 73 | 72 | 65 | 40 | 64 | 55 | 68 | 62 | 65 | 56 | 1 | 50 | 63 | 32 | 2,487,887$/1yrs | |||
Casey Fitzgerald | 0 | D | 100.00 | 57 | 48 | 62 | 68 | 61 | 71 | 68 | 63 | 40 | 61 | 56 | 65 | 62 | 58 | 52 | 1 | 50 | 62 | 28 | 1,500,000$/1yrs | |||
Ilya Solovyov | 0 | D | 100.00 | 66 | 43 | 68 | 65 | 69 | 65 | 63 | 63 | 40 | 60 | 56 | 68 | 61 | 52 | 50 | 1 | 50 | 62 | 24 | 1,000,000$/1yrs | |||
Adam Engstrom (R) | 0 | D | 100.00 | 62 | 42 | 63 | 66 | 62 | 61 | 60 | 62 | 40 | 61 | 56 | 65 | 61 | 50 | 50 | 1 | 50 | 61 | 21 | 975,000$/3yrs | |||
Dysin Mayo | 0 | D | 100.00 | 56 | 51 | 59 | 65 | 63 | 69 | 67 | 63 | 40 | 58 | 58 | 62 | 62 | 57 | 51 | 1 | 50 | 61 | 28 | 2,487,887$/1yrs | |||
Daniil Misyul | 0 | D | 100.00 | 56 | 45 | 63 | 67 | 62 | 65 | 63 | 59 | 40 | 55 | 54 | 61 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/2yrs | |||
Eemil Viro | 0 | D | 100.00 | 57 | 42 | 69 | 65 | 63 | 63 | 61 | 59 | 40 | 51 | 52 | 58 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tristan Broz (R) | 0 | C | 100.00 | 57 | 42 | 64 | 62 | 61 | 62 | 61 | 62 | 55 | 60 | 59 | 55 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 925,000$/2yrs | |||
Bradley Marek | 0 | C/LW/RW | 100.00 | 64 | 45 | 64 | 60 | 69 | 64 | 62 | 59 | 42 | 52 | 54 | 56 | 58 | 52 | 50 | 1 | 50 | 57 | 24 | 2,487,887$/1yrs | |||
Jayden Grubbe | 0 | C | 100.00 | 60 | 44 | 65 | 61 | 66 | 63 | 62 | 60 | 56 | 56 | 53 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Julian Lutz (R) | 0 | LW | 100.00 | 60 | 41 | 68 | 58 | 63 | 61 | 59 | 57 | 41 | 57 | 54 | 54 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 923,333$/2yrs | |||
Jett Jones | 0 | C/LW/RW | 100.00 | 65 | 40 | 69 | 58 | 70 | 58 | 56 | 54 | 40 | 50 | 51 | 56 | 55 | 50 | 50 | 1 | 50 | 55 | 22 | 2,487,887$/1yrs | |||
Kasper Halttunen (R) | 0 | RW | 100.00 | 63 | 40 | 62 | 58 | 65 | 55 | 53 | 55 | 40 | 54 | 54 | 57 | 56 | 50 | 50 | 1 | 50 | 55 | 20 | 908,333$/2yrs | |||
Trevor Janicke (R) | 0 | RW | 100.00 | 60 | 40 | 66 | 59 | 62 | 60 | 58 | 55 | 40 | 54 | 53 | 56 | 55 | 51 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
Curtis Hall | 0 | C | 100.00 | 63 | 40 | 71 | 59 | 69 | 62 | 59 | 55 | 51 | 50 | 51 | 55 | 55 | 53 | 50 | 1 | 50 | 55 | 25 | 1,000,001$/1yrs | |||
Ethan Keppen | 0 | C/LW/RW | 100.00 | 60 | 41 | 65 | 57 | 61 | 58 | 56 | 55 | 41 | 51 | 52 | 56 | 54 | 51 | 50 | 1 | 50 | 55 | 24 | 2,887,887$/1yrs | |||
Case McCarthy (R) | 0 | D | 100.00 | 61 | 40 | 66 | 62 | 62 | 59 | 57 | 55 | 40 | 54 | 53 | 61 | 57 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Taige Harding (R) | 0 | D | 100.00 | 65 | 40 | 62 | 58 | 71 | 59 | 57 | 55 | 40 | 54 | 53 | 62 | 55 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Henrik Tikkanen | 0 | 100.00 | 68 | 63 | 63 | 70 | 67 | 66 | 69 | 66 | 66 | 66 | 57 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
Dylan Wells | 0 | 100.00 | 71 | 62 | 58 | 64 | 64 | 64 | 64 | 62 | 64 | 64 | 56 | 55 | 50 | 1 | 50 | 58 | 27 | 1,500,000$/1yrs |
| Scratches | ||||||||||||||||||||
Jacob Fowler | 0 | 100.00 | 63 | 57 | 57 | 65 | 62 | 62 | 62 | 60 | 62 | 60 | 54 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/3yrs |
Isaiah Saville | 0 | 100.00 | 59 | 53 | 52 | 59 | 57 | 56 | 58 | 54 | 57 | 56 | 50 | 51 | 50 | 1 | 50 | 52 | 24 | 1,000,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Glen Gulutzan | 74 | 77 | 79 | 77 | 62 | 56 | 1 | CAN | 53 | 2 | 1,000,000$ |
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mackie Samoskevich | Heat (CAL) | RW | 30 | 17 | 9 | 26 | -6 | 0 | 0 | 39 | 108 | 36 | 57 | 15.74% | 22 | 24.17 | 4 | 2 | 6 | 2 | 1 | 3 | 60 | 3 | 0 | 42.00% | 1 | 0 | 0.87 | 0 | 2 | 0.88 | |||
| 2 | Tyson Kozak | Heat (CAL) | C | 30 | 4 | 11 | 15 | -8 | 2 | 0 | 42 | 36 | 11 | 29 | 11.11% | 5 | 21.91 | 0 | 3 | 3 | 1 | 0 | 1 | 61 | 1 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 2 | 0.37 | |||
| 3 | Sasha Pastujov | Heat (CAL) | RW | 30 | 6 | 7 | 13 | -23 | 6 | 0 | 49 | 47 | 15 | 24 | 12.77% | 13 | 21.17 | 1 | 1 | 2 | 0 | 1 | 1 | 26 | 0 | 1 | 39.66% | 0 | 0 | 0.43 | 0 | 1 | 0.17 | |||
| 4 | Jacob Gaucher | Heat (CAL) | C | 30 | 5 | 7 | 12 | -11 | 18 | 10 | 55 | 56 | 13 | 22 | 8.93% | 8 | 18.43 | 0 | 1 | 1 | 1 | 0 | 1 | 29 | 0 | 1 | 47.41% | 0 | 0 | 0.40 | 0 | 0 | 0.23 | |||
| 5 | Tye Felhaber | Heat (CAL) | LW | 30 | 3 | 7 | 10 | -9 | 39 | 15 | 62 | 49 | 16 | 28 | 6.12% | 8 | 19.67 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 1 | 1 | 0.10 | |||
| 6 | Adam Wilsby | Heat (CAL) | D | 30 | 3 | 7 | 10 | -10 | 15 | 5 | 24 | 40 | 10 | 17 | 7.50% | 43 | 22.58 | 1 | 1 | 2 | 0 | 3 | 3 | 62 | 1 | 1 | 0.00% | 0 | 0 | 0.33 | 1 | 1 | 0.20 | |||
| 7 | Matt Luff | Heat (CAL) | RW | 30 | 4 | 4 | 8 | -12 | 25 | 5 | 42 | 42 | 7 | 30 | 9.52% | 11 | 16.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 53.33% | 0 | 0 | 0.27 | 0 | 0 | 0.06 | |||
| 8 | Casey Fitzgerald | Heat (CAL) | D | 30 | 1 | 6 | 7 | -14 | 35 | 15 | 56 | 31 | 22 | 16 | 3.23% | 42 | 27.45 | 1 | 1 | 2 | 0 | 1 | 1 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | -0.03 | |||
| 9 | Adam Sykora | Heat (CAL) | LW | 30 | 3 | 4 | 7 | -9 | 4 | 0 | 30 | 31 | 16 | 29 | 9.68% | 7 | 16.24 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 1 | 0 | 44.00% | 0 | 0 | 0.23 | 0 | 3 | 0.16 | |||
| 10 | Dysin Mayo | Heat (CAL) | D | 30 | 0 | 4 | 4 | -5 | 17 | 5 | 13 | 14 | 2 | 6 | 0.00% | 16 | 15.66 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | -0.02 | |||
| 11 | Julian Lutz | Heat (CAL) | LW | 25 | 2 | 2 | 4 | -1 | 0 | 0 | 28 | 20 | 1 | 5 | 10.00% | 1 | 13.39 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.70% | 0 | 0 | 0.16 | 1 | 2 | 0.17 | |||
| 12 | Daniil Misyul | Heat (CAL) | D | 30 | 0 | 3 | 3 | -8 | 8 | 0 | 10 | 2 | 1 | 1 | 0.00% | 5 | 11.91 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | -0.06 | |||
| 13 | Kasper Halttunen | Heat (CAL) | RW | 25 | 1 | 2 | 3 | 2 | 6 | 0 | 39 | 7 | 3 | 2 | 14.29% | 1 | 12.68 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 46.67% | 0 | 0 | 0.12 | 0 | 2 | 0.11 | |||
| 14 | Ilya Solovyov | Heat (CAL) | D | 30 | 0 | 3 | 3 | -13 | 8 | 0 | 35 | 18 | 12 | 9 | 0.00% | 29 | 21.46 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | -0.03 | |||
| 15 | Adam Engstrom | Heat (CAL) | D | 30 | 0 | 1 | 1 | -5 | 2 | 0 | 7 | 1 | 0 | 2 | 0.00% | 4 | 8.99 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 50.00% | 0 | 0 | 0.03 | 0 | 0 | -0.05 | |||
| 16 | Ben King | Heat (CAL) | C | 5 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 2 | 2 | 0 | 50.00% | 0 | 13.78 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 56.52% | 0 | 0 | 0.20 | 0 | 0 | 0.12 | |||
| 17 | Robbie Russo | Heat (CAL) | D | 30 | 0 | 1 | 1 | -5 | 4 | 0 | 7 | 11 | 1 | 1 | 0.00% | 18 | 14.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.01 | |||
| 18 | Tristan Broz | Heat (CAL) | C | 25 | 1 | 0 | 1 | -8 | 12 | 0 | 32 | 12 | 7 | 16 | 8.33% | 4 | 13.12 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 38.46% | 0 | 0 | 0.04 | 0 | 0 | -0.09 | |||
| 19 | Lucas Ciona | Heat (CAL) | LW | 5 | 0 | 0 | 0 | -1 | 4 | 0 | 3 | 2 | 0 | 1 | 0.00% | 0 | 9.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.18 | |||
| 20 | Luke Philp | Heat (CAL) | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 3.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 21 | Eemil Viro | Heat (CAL) | D | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 540 | 51 | 78 | 129 | -147 | 205 | 55 | 577 | 529 | 175 | 295 | 9.64% | 237 | 16.55 | 8 | 12 | 20 | 457 | 4 | 6 | 10 | 435 | 7 | 5 | 44.45% | 1280 | 140 | 153 | 1 | 0 | 0.29 | 3 | 14 |
| 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 | Henrik Tikkanen | Heat (CAL) | 26 | 8 | 15 | 2 | 0.879 | 2.98 | 1512 | 0 | 1 | 75 | 619 | 351 | 1 | 0 | 0.875 | 8 | 25 | 5 | 1 | 2 | 1 |
| 2 | Dylan Wells | Heat (CAL) | 5 | 1 | 3 | 1 | 0.850 | 3.24 | 278 | 0 | 0 | 15 | 100 | 49 | 0 | 0 | 0.833 | 6 | 5 | 0 | 0 | 0 | 0 |
| 3 | Jacob Fowler | Heat (CAL) | 1 | 0 | 0 | 0 | 0.750 | 5.00 | 24 | 0 | 0 | 2 | 8 | 2 | 0 | 0 | 0.000 | 0 | 0 | 25 | 0 | 0 | 0 |
| Team Total or Average | 32 | 9 | 18 | 3 | 0.873 | 3.04 | 1815 | 0 | 1 | 92 | 727 | 402 | 1 | 0 | 0.857 | 14 | 30 | 30 | 1 | 2 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Engstrom | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Adam Sykora | LW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Adam Wilsby | D | 24 | 975,000$ | 975,000$ | |||||||
| Ben King | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Bradley Marek | C/LW/RW | 24 | 2,487,887$ | 2,487,887$ | |||||||
| Case McCarthy | D | 23 | 975,000$ | 975,000$ | |||||||
| Casey Fitzgerald | D | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Curtis Hall | C | 25 | 1,000,001$ | 1,000,001$ | |||||||
| Daniil Misyul | D | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Dylan Wells | G | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Dysin Mayo | D | 28 | 2,487,887$ | 2,487,887$ | UFA | ||||||
| Eemil Viro | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Ethan Keppen | C/LW/RW | 24 | 2,887,887$ | 2,887,887$ | |||||||
| Henrik Tikkanen | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ilya Solovyov | D | 24 | 1,000,000$ | 1,000,000$ | |||||||
| Isaiah Saville | G | 24 | 1,000,000$ | 1,000,000$ | |||||||
| Jacob Fowler | G | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Jacob Gaucher | C | 24 | 2,487,887$ | 2,487,887$ | |||||||
| Jayden Grubbe | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jett Jones | C/LW/RW | 22 | 2,487,887$ | 2,487,887$ | RFA | ||||||
| Julian Lutz | LW | 21 | 923,333$ | 975,000$ | 975,000$ | RFA | |||||
| Kasper Halttunen | RW | 20 | 908,333$ | 975,000$ | 975,000$ | RFA | |||||
| Lucas Ciona | LW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Luke Philp | C | 29 | 1,300,001$ | 1,300,001$ | UFA | ||||||
| Mackie Samoskevich | RW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Matt Luff | RW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Robbie Russo | D | 32 | 2,487,887$ | 2,487,887$ | UFA | ||||||
| Sasha Pastujov | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Taige Harding | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Trevor Janicke | RW | 24 | 975,000$ | 975,000$ | |||||||
| Tristan Broz | C | 22 | 925,000$ | 975,000$ | 975,000$ | ||||||
| Tye Felhaber | LW | 26 | 2,887,887$ | 2,887,887$ | UFA | ||||||
| Tyson Kozak | C | 22 | 975,000$ | 975,000$ | RFA |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 10 | 21 | 19 | 4 | 23 | 112 | 201 | 212 | 18 | 35 | 15 | 8 | 46 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 33.3% | 8.7% | 80.0% | 88.7 | Unlucky |
| 2 | Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 10 | 21 | 19 | 4 | 35 | 112 | 201 | 212 | 18 | 79 | 31 | 8 | 34 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 11.1% | 2.9% | 88.6% | 91.5 | Unlucky |
| 3 | Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 21 | 19 | 4 | 9 | 112 | 201 | 212 | 18 | 15 | 4 | 10 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
| 4 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 10 | 21 | 19 | 4 | 10 | 112 | 201 | 212 | 18 | 23 | 5 | 7 | 19 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 14.3% | 10.0% | 73.9% | 83.9 | FUN |
| 5 | Eagles | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 10 | 21 | 19 | 4 | 32 | 112 | 201 | 212 | 18 | 38 | 12 | 10 | 39 | 3 | 0 | 0.00% | 5 | 3 | 40.00% | 2 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 40.0% | 6.3% | 84.2% | 90.5 | Unlucky |
| 6 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 10 | 21 | 19 | 4 | 22 | 112 | 201 | 212 | 18 | 42 | 11 | 6 | 24 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 33.3% | 4.5% | 92.9% | 97.4 | DULL |
| 7 | Condors | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 3 | 0.750 | 9 | 14 | 23 | 0 | 0 | 10 | 21 | 19 | 4 | 38 | 112 | 201 | 212 | 18 | 53 | 17 | 15 | 32 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 58.3% | 23.7% | 88.7% | 112.4 | FUN |
| 8 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 10 | 21 | 19 | 4 | 36 | 112 | 201 | 212 | 18 | 54 | 15 | 8 | 36 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 50.0% | 16.7% | 92.6% | 109.3 | LUCKY |
| 9 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 10 | 21 | 19 | 4 | 30 | 112 | 201 | 212 | 18 | 15 | 4 | 2 | 21 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 75.0% | 10.0% | 93.3% | 103.3 | LUCKY |
| 10 | Rocket | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 10 | 21 | 19 | 4 | 42 | 112 | 201 | 212 | 18 | 37 | 21 | 10 | 46 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 50.0% | 11.9% | 83.8% | 95.7 | FUN |
| 11 | Admirals | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 10 | 21 | 19 | 4 | 25 | 112 | 201 | 212 | 18 | 22 | 5 | 6 | 36 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 28.6% | 8.0% | 77.3% | 85.3 | Unlucky |
| 12 | Comets | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 10 | 21 | 19 | 4 | 18 | 112 | 201 | 212 | 18 | 9 | 4 | 8 | 17 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 100.0% | 5.6% | 100.0% | 105.6 | DULL |
| 13 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 10 | 21 | 19 | 4 | 21 | 112 | 201 | 212 | 18 | 18 | 3 | 4 | 17 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 100.0% | 14.3% | 94.4% | 108.7 | LUCKY |
| 14 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 10 | 21 | 19 | 4 | 18 | 112 | 201 | 212 | 18 | 36 | 10 | 8 | 16 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 28.6% | 11.1% | 83.3% | 94.4 | FUN |
| 15 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 10 | 21 | 19 | 4 | 25 | 112 | 201 | 212 | 18 | 28 | 11 | 11 | 20 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 0.0% | 4.0% | 85.7% | 89.7 | Unlucky |
| 16 | Barracuda | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 10 | 21 | 19 | 4 | 12 | 112 | 201 | 212 | 18 | 15 | 10 | 6 | 24 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 100.0% | 16.7% | 93.3% | 110.0 | LUCKY |
| 17 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 10 | 21 | 19 | 4 | 39 | 112 | 201 | 212 | 18 | 76 | 31 | 31 | 39 | 3 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 36.4% | 10.3% | 85.5% | 95.8 | FUN |
| 18 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 10 | 21 | 19 | 4 | 21 | 112 | 201 | 212 | 18 | 38 | 8 | 28 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 28.6% | 9.5% | 86.8% | 96.4 | FUN |
| 19 | Checkers 2 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.250 | 6 | 9 | 15 | 0 | 0 | 10 | 21 | 19 | 4 | 73 | 112 | 201 | 212 | 18 | 94 | 20 | 19 | 77 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 1 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 38.5% | 8.2% | 89.4% | 97.6 | Unlucky |
| _Vs Conference | 17 | 5 | 8 | 0 | 0 | 2 | 1 | 1 | 33 | 43 | -10 | 15 | 0.441 | 33 | 51 | 84 | 0 | 0 | 10 | 21 | 19 | 4 | 291 | 112 | 201 | 212 | 18 | 368 | 109 | 80 | 335 | 33 | 6 | 18.18% | 35 | 11 | 68.57% | 3 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 45.8% | 11.3% | 88.3% | 99.7 | FUN | |
| _Since Last GM Reset | 30 | 6 | 18 | 0 | 1 | 2 | 2 | 1 | 53 | 93 | -40 | 21 | 0.350 | 53 | 78 | 131 | 0 | 1 | 10 | 21 | 19 | 4 | 529 | 112 | 201 | 212 | 18 | 727 | 237 | 205 | 577 | 55 | 8 | 14.55% | 70 | 20 | 71.43% | 4 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 38.1% | 10.0% | 87.2% | 97.2 | FUN | |
| Total | 30 | 6 | 18 | 0 | 1 | 2 | 2 | 1 | 53 | 93 | -40 | 21 | 0.350 | 53 | 78 | 131 | 0 | 1 | 10 | 21 | 19 | 4 | 529 | 112 | 201 | 212 | 18 | 727 | 237 | 205 | 577 | 55 | 8 | 14.55% | 70 | 20 | 71.43% | 4 | 195 | 444 | 43.92% | 224 | 479 | 46.76% | 150 | 346 | 43.35% | 520 | 207 | 591 | 324 | 704 | 346 | 38.1% | 10.0% | 87.2% | 97.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 23 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 444 |
| Neutral Zone Start | 346 |
| Defensive Zone Start | 479 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 569 |
| Faceoffs Lost | 700 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.7 | 9.57 |
| 2nd Period | 10.4 | 20.31 |
| 3rd Period | 17.5 | 30.68 |
| Overtime | 18.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 1.7 | 2.67 |
| Overtime | 1.8 | 2.83 |
| Even Strenght Goal | 41 |
|---|---|
| PP Goal | 8 |
| PK Goal | 4 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 4 | 5 |
| Lost | 9 | 9 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 55 |
|---|---|
| PP Goal | 8 |
| PK Attempt | 70 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 17.6 |
| Shots Against | 24.2 |
| Goals For | 1.8 |
| Goals Against | 3.1 |
| Hits | 19.2 |
| Shots Blocked | 7.9 |
| Pim | 6.8 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | SEA | @ | CAL | SEA1,CAL2 | RECAP | |||||||||
| Sat, Oct 11 | CAL | @ | NAS | CAL1,NAS3 | RECAP | |||||||||
| Tue, Oct 14 | VAN | @ | CAL | VAN5,CAL2 | RECAP | |||||||||
| Wed, Oct 15 | CAL | @ | COL | CAL0,COL2 | RECAP | |||||||||
| Sat, Oct 18 | COL | @ | CAL | COL4,CAL2 | RECAP | |||||||||
| Tue, Oct 21 | EDM | @ | CAL | EDM2,CAL6 | RECAP | |||||||||
| Thu, Oct 23 | CAL | @ | ANA | CAL1,ANA2 (SO) | RECAP | |||||||||
| Fri, Oct 24 | ANA | @ | CAL | ANA5,CAL1 | RECAP | |||||||||
| Sun, Oct 26 | CAL | @ | SEA | CAL1,SEA4 | RECAP | |||||||||
| Tue, Oct 28 | CAL | @ | NJD | CAL1,NJD0 (OT) | RECAP | |||||||||
| Thu, Oct 30 | MTL | @ | CAL | MTL5,CAL3 | RECAP | |||||||||
| Sat, Nov 1 | LOS | @ | CAL | LOS1,CAL2 | RECAP | |||||||||
| Mon, Nov 3 | CAL | @ | LOS | CAL4,LOS3 | RECAP | |||||||||
| Wed, Nov 5 | CAL | @ | S J | CAL2,S J1 (SO) | RECAP | |||||||||
| Thu, Nov 6 | CAL | @ | NYI | CAL3,NYI1 | RECAP | |||||||||
| Sat, Nov 8 | SEA | @ | CAL | SEA2,CAL1 | RECAP | |||||||||
| Mon, Nov 10 | CAL | @ | TOR | CAL2,TOR4 | RECAP | |||||||||
| Tue, Nov 11 | CAL | @ | MIN | CAL3,MIN1 | RECAP | |||||||||
| Thu, Nov 13 | EDM | @ | CAL | EDM4,CAL3 (OT) | RECAP | |||||||||
| Sat, Nov 15 | SEA | @ | CAL | SEA3,CAL2 | RECAP | |||||||||
| Tue, Nov 18 | CAR | @ | CAL | CAR6,CAL1 | RECAP | |||||||||
| Wed, Nov 19 | CAL | @ | PHI | CAL1,PHI4 | RECAP | |||||||||
| Fri, Nov 21 | TOR | @ | CAL | TOR7,CAL2 | RECAP | |||||||||
| Sun, Nov 23 | CAL | @ | DET | CAL1,DET3 | RECAP | |||||||||
| Tue, Nov 25 | CAL | @ | BOS | CAL1,BOS3 | RECAP | |||||||||
| Thu, Nov 27 | BOS | @ | CAL | BOS6,CAL0 | RECAP | |||||||||
| Sat, Nov 29 | CAL | @ | NYR | CAL2,NYR6 | RECAP | |||||||||
| Mon, Dec 1 | MTL | @ | CAL | MTL1,CAL2 (SO) | RECAP | |||||||||
| Wed, Dec 3 | CAL | @ | BUF | CAL0,BUF2 | RECAP | |||||||||
| Fri, Dec 5 | NAS | @ | CAL | NAS2,CAL1 (OT) | RECAP | |||||||||
| Mon, Dec 8 | NJD | @ | CAL | |||||||||||
| Wed, Dec 10 | CAL | @ | DAL | |||||||||||
| Fri, Dec 12 | FLO | @ | CAL | |||||||||||
| Sat, Dec 13 | CAL | @ | NAS | |||||||||||
| Tue, Dec 16 | NYR | @ | CAL | |||||||||||
| Thu, Dec 18 | CAL | @ | CHI | |||||||||||
| Sat, Dec 20 | STL | @ | CAL | |||||||||||
| Mon, Dec 22 | CAL | @ | LOS | |||||||||||
| Wed, Dec 24 | DAL | @ | CAL | |||||||||||
| Fri, Dec 26 | CAL | @ | WPG | |||||||||||
| Sun, Dec 28 | CAL | @ | OTT | |||||||||||
| Tue, Dec 30 | TAM | @ | CAL | |||||||||||
| Thu, Jan 1 | CAL | @ | TAM | |||||||||||
| Sun, Jan 4 | CHI | @ | CAL | |||||||||||
| Tue, Jan 6 | CAL | @ | PIT | |||||||||||
| Thu, Jan 8 | PIT | @ | CAL | |||||||||||
| Sat, Jan 10 | CAL | @ | COL | |||||||||||
| Sun, Jan 11 | CAL | @ | MTL | |||||||||||
| Tue, Jan 13 | MIN | @ | CAL | |||||||||||
| Fri, Jan 16 | ANA | @ | CAL | |||||||||||
| Sun, Jan 18 | CAL | @ | CHI | |||||||||||
| Mon, Jan 19 | BUF | @ | CAL | |||||||||||
| Wed, Jan 21 | CAL | @ | S J | |||||||||||
| Thu, Jan 22 | CAL | @ | CLB | |||||||||||
| Sat, Jan 24 | LOS | @ | CAL | |||||||||||
| Tue, Jan 27 | S J | @ | CAL | |||||||||||
| Thu, Jan 29 | CAL | @ | CAR | |||||||||||
| Sat, Jan 31 | COL | @ | CAL | |||||||||||
| Mon, Feb 2 | CAL | @ | VAN | |||||||||||
| Wed, Feb 4 | CAL | @ | SEA | |||||||||||
| Thu, Feb 5 | PHI | @ | CAL | |||||||||||
| Sun, Feb 8 | WAS | @ | CAL | |||||||||||
| Mon, Feb 9 | CAL | @ | WAS | |||||||||||
| Thu, Feb 12 | OTT | @ | CAL | |||||||||||
| Sat, Feb 14 | CAL | @ | ANA | |||||||||||
| Mon, Feb 16 | WPG | @ | CAL | |||||||||||
| Thu, Feb 19 | DET | @ | CAL | |||||||||||
| Sat, Feb 21 | CAL | @ | PHO | |||||||||||
| Mon, Feb 23 | VAN | @ | CAL | |||||||||||
| Wed, Feb 25 | CAL | @ | FLO | |||||||||||
| Fri, Feb 27 | CLB | @ | CAL | |||||||||||
| Sat, Feb 28 | CAL | @ | STL | |||||||||||
| Mon, Mar 2 | CAL | @ | EDM | |||||||||||
| Wed, Mar 4 | NYI | @ | CAL | |||||||||||
| Thu, Mar 5 | CAL | @ | NYI | |||||||||||
| Sun, Mar 8 | PHO | @ | CAL | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 11 | CAL | @ | NJD | |||||||||||
| Fri, Mar 13 | PHO | @ | CAL | |||||||||||
| Sat, Mar 14 | CAL | @ | PHO | |||||||||||
| Tue, Mar 17 | CHI | @ | CAL | |||||||||||
| Sat, Mar 21 | S J | @ | CAL | |||||||||||
| Sun, Mar 22 | CAL | @ | EDM | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,554,023$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Stockton | |
| 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 |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,554,023$ | 4,554,023$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,004,704$ | 0$ | 1,643,767$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 32,864$ | 3,549,312$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,549,312$ | 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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