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Full Scoreboard »» |
![]() | Stockton Heat 8-5-2, 18pts · 7th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arseny Gritsyuk (R) | 0 | LW/RW | 100.00 | 68 | 40 | 76 | 72 | 75 | 81 | 69 | 77 | 47 | 71 | 70 | 66 | 73 | 53 | 50 | 1 | 50 | 68 | 25 | 975,000$/3yrs | |||
Oliver Moore (R) | 0 | C/LW | 99.00 | 66 | 53 | 81 | 73 | 77 | 81 | 70 | 70 | 71 | 72 | 65 | 65 | 69 | 56 | 50 | 1 | 50 | 67 | 21 | 975,000$/3yrs | |||
Dryden Hunt | 0 | LW/RW | 99.00 | 61 | 45 | 64 | 68 | 64 | 72 | 70 | 67 | 44 | 66 | 60 | 64 | 65 | 65 | 58 | 1 | 50 | 64 | 30 | 1,500,000$/1yrs | |||
Max Shabanov | 0 | RW | 99.00 | 63 | 40 | 83 | 72 | 67 | 79 | 66 | 68 | 40 | 69 | 62 | 62 | 68 | 53 | 50 | 1 | 50 | 64 | 25 | 975,000$/3yrs | |||
Sacha Boisvert (R) | 0 | C | 99.00 | 60 | 53 | 73 | 73 | 76 | 76 | 60 | 65 | 49 | 61 | 62 | 60 | 66 | 54 | 50 | 1 | 50 | 63 | 20 | 975,000$/3yrs | |||
Alex Bump (R) | 0 | LW | 99.00 | 56 | 40 | 71 | 71 | 77 | 79 | 56 | 65 | 40 | 60 | 62 | 60 | 66 | 53 | 50 | 1 | 50 | 62 | 22 | 975,000$/3yrs | |||
Matt Luff | 0 | RW | 100.00 | 59 | 43 | 68 | 60 | 69 | 70 | 68 | 65 | 44 | 64 | 60 | 54 | 62 | 59 | 50 | 1 | 50 | 61 | 29 | 1,500,000$/1yrs | |||
Tye Felhaber | 0 | LW | 100.00 | 61 | 49 | 62 | 67 | 63 | 68 | 66 | 65 | 43 | 60 | 59 | 62 | 64 | 55 | 50 | 1 | 50 | 61 | 27 | 1,000,087$/4yrs | |||
Juraj Pekarcik (R) | 0 | LW | 100.00 | 62 | 41 | 72 | 63 | 66 | 60 | 60 | 62 | 42 | 62 | 60 | 60 | 61 | 50 | 50 | 1 | 50 | 60 | 20 | 975,000$/3yrs | |||
Florian Xhekaj | 0 | LW | 100.00 | 65 | 67 | 51 | 65 | 67 | 63 | 62 | 63 | 60 | 57 | 60 | 62 | 63 | 50 | 50 | 1 | 50 | 60 | 22 | 866,667$/1yrs | |||
Julian Lutz | 0 | LW | 100.00 | 60 | 44 | 66 | 60 | 65 | 63 | 61 | 58 | 41 | 55 | 53 | 53 | 57 | 50 | 50 | 1 | 50 | 56 | 22 | 923,333$/1yrs | |||
Jayden Grubbe | 0 | C | 99.00 | 54 | 42 | 60 | 54 | 60 | 58 | 56 | 55 | 53 | 52 | 51 | 51 | 53 | 50 | 50 | 1 | 50 | 53 | 23 | 975,000$/1yrs | |||
Charle-Edouard D'Astous (R) | 0 | D | 99.00 | 71 | 63 | 55 | 71 | 78 | 84 | 71 | 74 | 40 | 72 | 68 | 72 | 71 | 53 | 50 | 1 | 50 | 69 | 28 | 975,000$/3yrs | |||
Jacob Moverare | 0 | D | 99.00 | 59 | 40 | 81 | 72 | 84 | 78 | 71 | 67 | 40 | 62 | 61 | 68 | 67 | 68 | 58 | 1 | 50 | 67 | 27 | 1,800,087$/4yrs | |||
Ilya Solovyov | 0 | D | 100.00 | 67 | 41 | 75 | 70 | 78 | 75 | 67 | 67 | 40 | 64 | 60 | 69 | 65 | 57 | 50 | 1 | 50 | 66 | 25 | 1,500,087$/4yrs | |||
Adam Engstrom | 0 | D | 99.00 | 64 | 42 | 69 | 70 | 64 | 62 | 60 | 64 | 40 | 62 | 60 | 69 | 65 | 50 | 50 | 1 | 50 | 63 | 22 | 975,000$/2yrs | |||
Daniil Misyul | 0 | D | 100.00 | 52 | 42 | 57 | 60 | 57 | 60 | 58 | 53 | 40 | 52 | 51 | 54 | 54 | 52 | 50 | 1 | 50 | 55 | 25 | 975,000$/1yrs | |||
Eemil Viro | 0 | D | 100.00 | 53 | 41 | 61 | 58 | 58 | 59 | 57 | 54 | 40 | 50 | 51 | 53 | 53 | 51 | 50 | 1 | 50 | 54 | 24 | 1,500,087$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Kenny Connors (R) | 0 | C/LW | 100.00 | 63 | 42 | 65 | 65 | 63 | 61 | 59 | 61 | 42 | 59 | 55 | 63 | 60 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/3yrs | |||
Mathieu Cataford (R) | 0 | C | 100.00 | 60 | 42 | 70 | 61 | 64 | 62 | 61 | 60 | 41 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/3yrs | |||
Lucas Ciona | 0 | LW | 100.00 | 63 | 51 | 58 | 60 | 69 | 64 | 62 | 59 | 42 | 53 | 53 | 55 | 58 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs | |||
Ben King | 0 | C | 100.00 | 61 | 43 | 67 | 60 | 67 | 63 | 60 | 57 | 55 | 54 | 53 | 53 | 57 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
Luke Philp | 0 | C | 100.00 | 51 | 40 | 66 | 58 | 54 | 64 | 62 | 56 | 53 | 55 | 52 | 51 | 54 | 60 | 50 | 1 | 50 | 55 | 30 | ||||
Kalle Vaisanen (R) | 0 | LW | 100.00 | 56 | 40 | 69 | 56 | 62 | 60 | 58 | 54 | 41 | 51 | 51 | 51 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | 975,000$/3yrs | |||
Trevor Janicke | 0 | RW | 100.00 | 55 | 40 | 63 | 54 | 57 | 55 | 52 | 51 | 40 | 50 | 50 | 52 | 51 | 52 | 50 | 1 | 50 | 52 | 25 | 1,500,087$/4yrs | |||
Scott Morrow | 0 | D | 100.00 | 57 | 41 | 76 | 72 | 80 | 78 | 66 | 67 | 40 | 65 | 62 | 67 | 67 | 56 | 50 | 1 | 50 | 66 | 23 | 975,000$/1yrs | |||
Emil Pieniniemi (R) | 0 | D | 100.00 | 61 | 40 | 68 | 68 | 62 | 60 | 60 | 60 | 40 | 60 | 60 | 64 | 60 | 50 | 50 | 1 | 50 | 61 | 21 | 975,000$/3yrs | |||
Etienne Morin (R) | 0 | D | 100.00 | 60 | 41 | 71 | 66 | 62 | 62 | 60 | 60 | 40 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/3yrs | |||
Taige Harding | 0 | D | 100.00 | 67 | 53 | 56 | 57 | 75 | 63 | 60 | 57 | 40 | 52 | 52 | 64 | 55 | 52 | 50 | 1 | 50 | 59 | 24 | 1,500,087$/4yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Fowler | 0 | 98.00 | 75 | 67 | 66 | 82 | 72 | 73 | 74 | 73 | 74 | 71 | 67 | 54 | 50 | 1 | 50 | 66 | 21 | 975,000$/2yrs |
Jack Campbell | 0 | 100.00 | 69 | 70 | 69 | 67 | 69 | 67 | 69 | 66 | 68 | 69 | 68 | 70 | 63 | 1 | 50 | 63 | 34 | 5,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
Henrik Tikkanen | 0 | 100.00 | 67 | 64 | 66 | 73 | 69 | 68 | 71 | 68 | 69 | 67 | 58 | 53 | 50 | 1 | 50 | 62 | 25 | 975,000$/1yrs |
Arno Tiefensee | 0 | 100.00 | 61 | 57 | 58 | 66 | 62 | 62 | 64 | 61 | 62 | 60 | 54 | 52 | 50 | 1 | 50 | 57 | 24 | 975,000$/3yrs |
Topias Leinonen | 0 | 100.00 | 57 | 54 | 54 | 75 | 61 | 57 | 57 | 53 | 58 | 57 | 50 | 50 | 50 | 1 | 50 | 54 | 22 | 975,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bob Boughner | 74 | 76 | 68 | 79 | 62 | 57 | 1 | CAN | 55 | 2 | 500,000$ |
| 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 | Arseny Gritsyuk | Heat (CAL) | LW/RW | 15 | 9 | 13 | 22 | 11 | 2 | 0 | 17 | 52 | 12 | 24 | 17.31% | 8 | 18.20 | 1 | 3 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 56.67% | 0 | 0 | 1.47 | 1 | 3 | 1.60 | |||
| 2 | Oliver Moore | Heat (CAL) | C/LW | 15 | 10 | 12 | 22 | 12 | 12 | 10 | 27 | 67 | 16 | 34 | 14.93% | 6 | 23.96 | 2 | 2 | 4 | 0 | 0 | 0 | 24 | 2 | 1 | 57.98% | 0 | 0 | 1.47 | 1 | 3 | 1.64 | |||
| 3 | Max Shabanov | Heat (CAL) | RW | 15 | 4 | 6 | 10 | -1 | 0 | 0 | 19 | 40 | 13 | 17 | 10.00% | 5 | 17.72 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 27.27% | 0 | 0 | 0.67 | 0 | 0 | 0.69 | |||
| 4 | Matt Luff | Heat (CAL) | RW | 15 | 3 | 5 | 8 | 6 | 4 | 0 | 26 | 18 | 2 | 14 | 16.67% | 4 | 13.90 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 27.27% | 0 | 0 | 0.53 | 0 | 0 | 0.61 | |||
| 5 | Dryden Hunt | Heat (CAL) | LW/RW | 15 | 2 | 5 | 7 | 6 | 13 | 5 | 38 | 26 | 16 | 26 | 7.69% | 12 | 23.19 | 0 | 1 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 43.24% | 0 | 0 | 0.47 | 2 | 2 | 0.57 | |||
| 6 | Ilya Solovyov | Heat (CAL) | D | 15 | 0 | 7 | 7 | 7 | 7 | 5 | 13 | 15 | 10 | 5 | 0.00% | 13 | 20.71 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.51 | |||
| 7 | Jayden Grubbe | Heat (CAL) | C | 12 | 4 | 1 | 5 | -3 | 4 | 0 | 23 | 7 | 1 | 5 | 57.14% | 4 | 17.96 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 48.48% | 0 | 0 | 0.42 | 0 | 0 | 0.25 | |||
| 8 | Tye Felhaber | Heat (CAL) | LW | 15 | 1 | 4 | 5 | -4 | 4 | 0 | 17 | 25 | 9 | 17 | 4.00% | 2 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.33 | 0 | 0 | 0.26 | |||
| 9 | Jacob Moverare | Heat (CAL) | D | 15 | 1 | 4 | 5 | 0 | 0 | 0 | 16 | 18 | 4 | 9 | 5.56% | 21 | 25.79 | 1 | 0 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.39 | |||
| 10 | Alex Bump | Heat (CAL) | LW | 15 | 1 | 3 | 4 | 0 | 7 | 5 | 17 | 15 | 6 | 11 | 6.67% | 4 | 17.22 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 40.00% | 0 | 0 | 0.27 | 0 | 0 | 0.21 | |||
| 11 | Charle-Edouard D'Astous | Heat (CAL) | D | 15 | 0 | 4 | 4 | 0 | 47 | 25 | 28 | 26 | 9 | 6 | 0.00% | 13 | 25.06 | 0 | 1 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | -0.18 | |||
| 12 | Sacha Boisvert | Heat (CAL) | C | 15 | 3 | 1 | 4 | 0 | 0 | 0 | 21 | 25 | 3 | 13 | 12.00% | 8 | 16.84 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 1 | 0 | 45.13% | 0 | 0 | 0.27 | 0 | 0 | 0.36 | |||
| 13 | Adam Engstrom | Heat (CAL) | D | 15 | 0 | 3 | 3 | 9 | 2 | 0 | 7 | 4 | 3 | 0 | 0.00% | 14 | 20.32 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.37 | |||
| 14 | Juraj Pekarcik | Heat (CAL) | LW | 11 | 2 | 0 | 2 | 2 | 2 | 0 | 12 | 9 | 2 | 2 | 22.22% | 7 | 12.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 60.00% | 0 | 0 | 0.18 | 0 | 0 | 0.28 | |||
| 15 | Daniil Misyul | Heat (CAL) | D | 12 | 0 | 1 | 1 | 2 | 4 | 0 | 3 | 1 | 3 | 1 | 0.00% | 5 | 15.39 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.07 | |||
| 16 | Scott Morrow | Heat (CAL) | D | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0.00% | 3 | 18.69 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.31 | |||
| 17 | Florian Xhekaj | Heat (CAL) | LW | 15 | 1 | 0 | 1 | 1 | 2 | 0 | 5 | 4 | 2 | 2 | 25.00% | 0 | 2.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 100.00% | 0 | 0 | 0.07 | 0 | 0 | 0.09 | |||
| 18 | Eemil Viro | Heat (CAL) | D | 12 | 0 | 1 | 1 | 0 | 6 | 0 | 6 | 5 | 2 | 2 | 0.00% | 7 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.03 | |||
| 19 | Emil Pieniniemi | Heat (CAL) | D | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 10.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.21 | |||
| 20 | Etienne Morin | Heat (CAL) | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 21 | Mathieu Cataford | Heat (CAL) | C | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 2 | 0 | 0.00% | 0 | 12.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 0 | 0 | 0.00 | 0 | 0 | 0.21 | |||
| 22 | Julian Lutz | Heat (CAL) | LW | 12 | 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 | 266 | 41 | 71 | 112 | 51 | 116 | 50 | 300 | 363 | 115 | 188 | 11.29% | 136 | 16.57 | 5 | 10 | 15 | 251 | 0 | 0 | 0 | 175 | 7 | 3 | 52.45% | 736 | 70 | 88 | 0 | 0 | 0.51 | 4 | 8 |
| 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 | Jacob Fowler | Heat (CAL) | 11 | 5 | 4 | 2 | 0.912 | 2.32 | 673 | 0 | 1 | 26 | 295 | 157 | 0 | 0 | 0.333 | 9 | 11 | 0 | 2 | 0 | 0 |
| 2 | Jack Campbell | Heat (CAL) | 4 | 3 | 1 | 0 | 0.914 | 1.76 | 239 | 0 | 1 | 7 | 81 | 40 | 0 | 0 | 0.000 | 0 | 4 | 11 | 0 | 0 | 0 |
| Team Total or Average | 15 | 8 | 5 | 2 | 0.912 | 2.17 | 913 | 0 | 2 | 33 | 376 | 197 | 0 | 0 | 0.333 | 9 | 15 | 11 | 2 | 0 | 0 |
| 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 | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Alex Bump | LW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Arno Tiefensee | G | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Arseny Gritsyuk | LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Ben King | C | 24 | 975,000$ | 975,000$ | |||||||
| Charle-Edouard D'Astous | D | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Daniil Misyul | D | 25 | 975,000$ | 975,000$ | |||||||
| Dryden Hunt | LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Eemil Viro | D | 24 | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | UFA | |||
| Emil Pieniniemi | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Etienne Morin | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Florian Xhekaj | LW | 22 | 866,667$ | 975,000$ | RFA | ||||||
| Henrik Tikkanen | G | 25 | 975,000$ | 975,000$ | |||||||
| Ilya Solovyov | D | 25 | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | UFA | |||
| Jack Campbell | G | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
| Jacob Fowler | G | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jacob Moverare | D | 27 | 1,800,087$ | 1,800,087$ | 1,800,087$ | 1,800,087$ | 1,800,087$ | UFA | |||
| Jayden Grubbe | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Julian Lutz | LW | 22 | 923,333$ | 975,000$ | RFA | ||||||
| Juraj Pekarcik | LW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Kalle Vaisanen | LW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Kenny Connors | C/LW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Lucas Ciona | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Luke Philp | C | 30 | 0$ | UFA | |||||||
| Mathieu Cataford | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Matt Luff | RW | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Max Shabanov | RW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Oliver Moore | C/LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Sacha Boisvert | C | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Scott Morrow | D | 23 | 975,000$ | 975,000$ | |||||||
| Taige Harding | D | 24 | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | UFA | |||
| Topias Leinonen | G | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Trevor Janicke | RW | 25 | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | 1,500,087$ | UFA | |||
| Tye Felhaber | LW | 27 | 1,000,087$ | 1,000,087$ | 1,000,087$ | 1,000,087$ | 1,000,087$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 9 | 16 | 18 | 5 | 20 | 98 | 121 | 156 | 13 | 9 | 5 | 9 | 22 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 100.0% | 20.0% | 100.0% | 120.0 | LUCKY |
| 2 | Wolves | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 10 | 11 | -1 | 3 | 0.500 | 10 | 15 | 25 | 0 | 0 | 9 | 16 | 18 | 5 | 80 | 98 | 121 | 156 | 13 | 109 | 44 | 8 | 59 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 47.1% | 12.5% | 89.9% | 102.4 | FUN |
| 3 | IceHogs | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 9 | 16 | 18 | 5 | 19 | 98 | 121 | 156 | 13 | 26 | 10 | 9 | 19 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 100.0% | 10.5% | 96.2% | 106.7 | LUCKY |
| 4 | Eagles | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 9 | 16 | 18 | 5 | 46 | 98 | 121 | 156 | 13 | 42 | 8 | 14 | 35 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 44.4% | 8.7% | 85.7% | 94.4 | Unlucky |
| 5 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 9 | 16 | 18 | 5 | 25 | 98 | 121 | 156 | 13 | 41 | 18 | 14 | 21 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 80.0% | 20.0% | 97.6% | 117.6 | LUCKY |
| 6 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 9 | 16 | 18 | 5 | 29 | 98 | 121 | 156 | 13 | 21 | 3 | 4 | 33 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 80.0% | 13.8% | 95.2% | 109.0 | LUCKY |
| 7 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 9 | 16 | 18 | 5 | 59 | 98 | 121 | 156 | 13 | 58 | 19 | 37 | 36 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 44.4% | 6.8% | 89.7% | 96.4 | Unlucky |
| 8 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 9 | 16 | 18 | 5 | 20 | 98 | 121 | 156 | 13 | 5 | 7 | 2 | 23 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 0.0% | 10.0% | 100.0% | 110.0 | LUCKY |
| 9 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 9 | 16 | 18 | 5 | 30 | 98 | 121 | 156 | 13 | 6 | 5 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 75.0% | 10.0% | 83.3% | 93.3 | FUN |
| 10 | Checkers 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 9 | 16 | 18 | 5 | 52 | 98 | 121 | 156 | 13 | 59 | 19 | 19 | 29 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 41.7% | 13.5% | 86.4% | 99.9 | FUN |
| _Vs Conference | 8 | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 24 | 16 | 8 | 11 | 0.688 | 24 | 38 | 62 | 0 | 2 | 9 | 16 | 18 | 5 | 182 | 98 | 121 | 156 | 13 | 182 | 67 | 67 | 149 | 23 | 5 | 21.74% | 16 | 3 | 81.25% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 59.4% | 13.2% | 91.2% | 104.4 | LUCKY | |
| _Since Last GM Reset | 15 | 6 | 5 | 0 | 1 | 0 | 1 | 2 | 45 | 35 | 10 | 18 | 0.600 | 45 | 72 | 117 | 0 | 2 | 9 | 16 | 18 | 5 | 380 | 98 | 121 | 156 | 13 | 376 | 138 | 116 | 303 | 32 | 7 | 21.88% | 28 | 6 | 78.57% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 56.7% | 11.8% | 90.7% | 102.5 | FUN | |
| Total | 15 | 6 | 5 | 0 | 1 | 0 | 1 | 2 | 45 | 35 | 10 | 18 | 0.600 | 45 | 72 | 117 | 0 | 2 | 9 | 16 | 18 | 5 | 380 | 98 | 121 | 156 | 13 | 376 | 138 | 116 | 303 | 32 | 7 | 21.88% | 28 | 6 | 78.57% | 0 | 153 | 287 | 53.31% | 142 | 278 | 51.08% | 112 | 192 | 58.33% | 290 | 133 | 290 | 152 | 334 | 169 | 56.7% | 11.8% | 90.7% | 102.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 19 |
| Neutral Zone | 22 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 287 |
| Neutral Zone Start | 192 |
| Defensive Zone Start | 278 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 407 |
| Faceoffs Lost | 350 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 6.5 | 9.57 |
| 2nd Period | 14.6 | 20.31 |
| 3rd Period | 25.0 | 30.68 |
| Overtime | 25.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 38 |
|---|---|
| PP Goal | 7 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 5 | 3 |
| Lost | 2 | 3 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 32 |
|---|---|
| PP Goal | 7 |
| PK Attempt | 28 |
| PK Goal Against | 6 |
| Home | |
|---|---|
| Shots For | 25.3 |
| Shots Against | 25.1 |
| Goals For | 3.0 |
| Goals Against | 2.3 |
| Hits | 20.2 |
| Shots Blocked | 9.2 |
| Pim | 7.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mon, Oct 12 | CAR | @ | CAL | CAR4,CAL3 | RECAP | |||||||||
| Wed, Oct 14 | SEA | @ | CAL | SEA2,CAL5 | RECAP | |||||||||
| Thu, Oct 15 | CAL | @ | NYR | CAL4,NYR1 | RECAP | |||||||||
| Sat, Oct 17 | CAL | @ | ANA | CAL4,ANA0 | RECAP | |||||||||
| Mon, Oct 19 | COL | @ | CAL | COL3,CAL2 (SO) | RECAP | |||||||||
| Wed, Oct 21 | CAR | @ | CAL | CAR3,CAL4 (OT) | RECAP | |||||||||
| Fri, Oct 23 | CAL | @ | SEA | CAL2,SEA6 | RECAP | |||||||||
| Sun, Oct 25 | DET | @ | CAL | DET1,CAL5 | RECAP | |||||||||
| Tue, Oct 27 | TAM | @ | CAL | TAM1,CAL3 | RECAP | |||||||||
| Thu, Oct 29 | CAL | @ | CAR | CAL3,CAR4 (SO) | RECAP | |||||||||
| Sat, Oct 31 | CAL | @ | COL | CAL2,COL3 | RECAP | |||||||||
| Mon, Nov 2 | PIT | @ | CAL | PIT4,CAL3 | RECAP | |||||||||
| Wed, Nov 4 | CAL | @ | PIT | CAL1,PIT2 | RECAP | |||||||||
| Fri, Nov 6 | CAL | @ | S J | CAL2,S J0 | RECAP | |||||||||
| Sun, Nov 8 | CHI | @ | CAL | CHI1,CAL2 (SO) | RECAP | |||||||||
| Tue, Nov 10 | CAL | @ | S J | |||||||||||
| Thu, Nov 12 | CAL | @ | LOS | |||||||||||
| Sat, Nov 14 | NAS | @ | CAL | |||||||||||
| Mon, Nov 16 | S J | @ | CAL | |||||||||||
| Wed, Nov 18 | DAL | @ | CAL | |||||||||||
| Fri, Nov 20 | CAL | @ | SEA | |||||||||||
| Sun, Nov 22 | FLO | @ | CAL | |||||||||||
| Wed, Nov 25 | CAL | @ | EDM | |||||||||||
| Fri, Nov 27 | CAL | @ | WAS | |||||||||||
| Sat, Nov 28 | MTL | @ | CAL | |||||||||||
| Mon, Nov 30 | COL | @ | CAL | |||||||||||
| Wed, Dec 2 | CAL | @ | WPG | |||||||||||
| Fri, Dec 4 | OTT | @ | CAL | |||||||||||
| Sat, Dec 5 | CAL | @ | MIN | |||||||||||
| Mon, Dec 7 | CLB | @ | CAL | |||||||||||
| Wed, Dec 9 | CAL | @ | VAN | |||||||||||
| Fri, Dec 11 | WPG | @ | CAL | |||||||||||
| Sun, Dec 13 | CAL | @ | PHI | |||||||||||
| Tue, Dec 15 | CAL | @ | CLB | |||||||||||
| Wed, Dec 16 | TOR | @ | CAL | |||||||||||
| Sat, Dec 19 | CAL | @ | DET | |||||||||||
| Sun, Dec 20 | NJD | @ | CAL | |||||||||||
| Tue, Dec 22 | CAL | @ | BOS | |||||||||||
| Thu, Dec 24 | STL | @ | CAL | |||||||||||
| Sat, Dec 26 | CAL | @ | NYR | |||||||||||
| Mon, Dec 28 | WPG | @ | CAL | |||||||||||
| Wed, Dec 30 | CAL | @ | LOS | |||||||||||
| Thu, Dec 31 | CAL | @ | OTT | |||||||||||
| Sat, Jan 2 | S J | @ | CAL | |||||||||||
| Mon, Jan 4 | WAS | @ | CAL | |||||||||||
| Tue, Jan 5 | CAL | @ | STL | |||||||||||
| Thu, Jan 7 | PHI | @ | CAL | |||||||||||
| Sat, Jan 9 | CAL | @ | DAL | |||||||||||
| Mon, Jan 11 | ANA | @ | CAL | |||||||||||
| Tue, Jan 12 | CAL | @ | EDM | |||||||||||
| Thu, Jan 14 | MIN | @ | CAL | |||||||||||
| Sun, Jan 17 | CAL | @ | MTL | |||||||||||
| Mon, Jan 18 | EDM | @ | CAL | |||||||||||
| Wed, Jan 20 | CAL | @ | CHI | |||||||||||
| Thu, Jan 21 | LOS | @ | CAL | |||||||||||
| Sun, Jan 24 | NYI | @ | CAL | |||||||||||
| Tue, Jan 26 | CAL | @ | ANA | |||||||||||
| Wed, Jan 27 | CAL | @ | COL | |||||||||||
| Thu, Jan 28 | LOS | @ | CAL | |||||||||||
| Sat, Jan 30 | CAL | @ | TAM | |||||||||||
| Mon, Feb 1 | CAL | @ | NYI | |||||||||||
| Wed, Feb 3 | PIT | @ | CAL | |||||||||||
| Thu, Feb 4 | CHI | @ | CAL | |||||||||||
| Sun, Feb 7 | BUF | @ | CAL | |||||||||||
| Tue, Feb 9 | CAL | @ | FLO | |||||||||||
| Wed, Feb 10 | BOS | @ | CAL | |||||||||||
| Sat, Feb 13 | CAL | @ | CHI | |||||||||||
| Mon, Feb 15 | EDM | @ | CAL | |||||||||||
| Thu, Feb 18 | NYR | @ | CAL | |||||||||||
| Sat, Feb 20 | CAL | @ | TOR | |||||||||||
| Sun, Feb 21 | SEA | @ | CAL | |||||||||||
| Wed, Feb 24 | CAL | @ | PHO | |||||||||||
| Fri, Feb 26 | COL | @ | CAL | |||||||||||
| Sun, Feb 28 | CAL | @ | PHO | |||||||||||
| Tue, Mar 2 | VAN | @ | CAL | |||||||||||
| Thu, Mar 4 | CAL | @ | BUF | |||||||||||
| Fri, Mar 5 | CAL | @ | NJD | |||||||||||
| Sun, Mar 7 | PHO | @ | CAL | |||||||||||
| Mon, Mar 8 | CAL | @ | BUF | |||||||||||
| Wed, Mar 10 | CAL | @ | NJD | |||||||||||
| Fri, Mar 12 | ANA | @ | CAL | |||||||||||
| Sun, Mar 14 | CAL | @ | NAS | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Mar 17 | CAL | @ | NAS | |||||||||||
| Thu, Mar 18 | PHO | @ | CAL | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,020,054$ | 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 |
| 34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,020,054$ | 4,020,054$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 807,297$ | 0$ | 717,775$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 156 | 27,902$ | 3,710,966$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,710,966$ | 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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