![]() | Stockton Heat 23-51-8, 54pts · 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 | |||
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$/1yrs | |||
Matt Luff | 0 | RW | 100.00 | 58 | 43 | 68 | 61 | 66 | 68 | 66 | 64 | 43 | 61 | 59 | 54 | 61 | 57 | 50 | 1 | 50 | 59 | 28 | 1,500,000$/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$/1yrs | |||
Tristan Broz (R) | 0 | C | 100.00 | 57 | 42 | 64 | 62 | 61 | 62 | 61 | 62 | 55 | 60 | 59 | 55 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 925,000$/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$/1yrs | |||
Lucas Ciona | 0 | LW | 100.00 | 64 | 49 | 59 | 60 | 69 | 63 | 62 | 60 | 42 | 57 | 54 | 56 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/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$/3yrs | |||
Case McCarthy (R) | 0 | D | 100.00 | 61 | 40 | 66 | 62 | 62 | 59 | 57 | 55 | 40 | 54 | 53 | 61 | 57 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/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$/1yrs | |||
Eemil Viro | 0 | D | 100.00 | 57 | 42 | 69 | 65 | 63 | 63 | 61 | 59 | 40 | 51 | 52 | 58 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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 | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/1yrs |
Jacob Fowler | 0 | 100.00 | 63 | 57 | 57 | 65 | 62 | 62 | 62 | 60 | 62 | 60 | 54 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/3yrs |
| Scratches | ||||||||||||||||||||
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 | 82 | 34 | 23 | 57 | -36 | 17 | 15 | 90 | 196 | 62 | 131 | 17.35% | 46 | 23.42 | 8 | 8 | 16 | 2 | 3 | 5 | 123 | 6 | 2 | 44.19% | 1 | 0 | 0.70 | 0 | 4 | 0.53 | |||
| 2 | Tyson Kozak | Heat (CAL) | C | 82 | 11 | 16 | 27 | -31 | 8 | 0 | 105 | 94 | 26 | 68 | 11.70% | 22 | 22.47 | 3 | 6 | 9 | 2 | 0 | 2 | 123 | 1 | 0 | 53.74% | 0 | 0 | 0.33 | 0 | 4 | 0.21 | |||
| 3 | Jacob Gaucher | Heat (CAL) | C | 82 | 6 | 17 | 23 | -31 | 47 | 25 | 138 | 99 | 35 | 51 | 6.06% | 18 | 19.65 | 0 | 1 | 1 | 1 | 1 | 2 | 57 | 1 | 1 | 45.50% | 0 | 0 | 0.28 | 1 | 2 | 0.08 | |||
| 4 | Adam Wilsby | Heat (CAL) | D | 82 | 4 | 16 | 20 | -33 | 26 | 10 | 73 | 98 | 26 | 44 | 4.08% | 90 | 24.37 | 2 | 3 | 5 | 0 | 3 | 3 | 134 | 1 | 1 | 0.00% | 0 | 0 | 0.24 | 3 | 3 | 0.11 | |||
| 5 | Casey Fitzgerald | Heat (CAL) | D | 82 | 2 | 14 | 16 | -39 | 93 | 25 | 125 | 88 | 35 | 27 | 2.27% | 104 | 26.62 | 2 | 2 | 4 | 0 | 1 | 1 | 117 | 0 | 0 | 100.00% | 0 | 0 | 0.20 | 0 | 1 | -0.08 | |||
| 6 | Matt Luff | Heat (CAL) | RW | 82 | 6 | 8 | 14 | -33 | 39 | 5 | 106 | 77 | 19 | 64 | 7.79% | 23 | 18.43 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 35.00% | 0 | 0 | 0.17 | 0 | 1 | 0.00 | |||
| 7 | Adam Sykora | Heat (CAL) | LW | 71 | 4 | 5 | 9 | -22 | 25 | 5 | 68 | 41 | 23 | 39 | 9.76% | 11 | 15.06 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 2 | 0 | 38.46% | 0 | 0 | 0.13 | 0 | 4 | -0.01 | |||
| 8 | Ben King | Heat (CAL) | C | 51 | 3 | 4 | 7 | -4 | 6 | 0 | 50 | 27 | 8 | 17 | 11.11% | 6 | 15.86 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 2 | 1 | 54.50% | 0 | 0 | 0.14 | 0 | 0 | 0.10 | |||
| 9 | Adam Engstrom | Heat (CAL) | D | 73 | 1 | 3 | 4 | -11 | 8 | 0 | 45 | 12 | 5 | 12 | 8.33% | 8 | 13.11 | 0 | 1 | 1 | 0 | 0 | 0 | 52 | 1 | 0 | 60.00% | 0 | 0 | 0.05 | 0 | 0 | -0.01 | |||
| 10 | 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 | |||
| 11 | Ilya Solovyov | Heat (CAL) | D | 82 | 0 | 4 | 4 | -38 | 23 | 5 | 72 | 36 | 18 | 18 | 0.00% | 64 | 20.85 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | -0.11 | |||
| 12 | Robbie Russo | Heat (CAL) | D | 82 | 0 | 3 | 3 | -24 | 23 | 15 | 35 | 26 | 4 | 6 | 0.00% | 39 | 17.08 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | -0.09 | |||
| 13 | Luke Philp | Heat (CAL) | C | 46 | 3 | 0 | 3 | -2 | 0 | 0 | 21 | 11 | 2 | 4 | 27.27% | 1 | 7.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 47.83% | 0 | 0 | 0.07 | 0 | 0 | 0.06 | |||
| 14 | 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 | |||
| 15 | Bradley Marek | Heat (CAL) | C/LW/RW | 34 | 1 | 1 | 2 | -8 | 10 | 0 | 54 | 13 | 3 | 11 | 7.69% | 6 | 17.20 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 1 | 0 | 44.83% | 0 | 0 | 0.06 | 0 | 0 | -0.03 | |||
| 16 | Lucas Ciona | Heat (CAL) | LW | 57 | 1 | 0 | 1 | -6 | 14 | 0 | 46 | 12 | 3 | 1 | 8.33% | 2 | 9.04 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 12.50% | 0 | 0 | 0.02 | 0 | 0 | -0.04 | |||
| 17 | Tristan Broz | Heat (CAL) | C | 31 | 1 | 0 | 1 | -8 | 14 | 0 | 33 | 12 | 7 | 16 | 8.33% | 4 | 10.97 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 42.86% | 0 | 0 | 0.03 | 0 | 0 | -0.08 | |||
| 18 | Case McCarthy | Heat (CAL) | D | 46 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 3 | 0 | 1 | 0.00% | 2 | 9.22 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| 19 | Taige Harding | Heat (CAL) | D | 41 | 0 | 0 | 0 | 1 | 2 | 0 | 8 | 1 | 0 | 0 | 0.00% | 0 | 4.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 20 | Eemil Viro | Heat (CAL) | D | 82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1238 | 80 | 118 | 198 | -325 | 361 | 105 | 1142 | 873 | 280 | 517 | 9.16% | 448 | 16.23 | 16 | 22 | 38 | 861 | 5 | 8 | 13 | 811 | 18 | 6 | 46.17% | 2653 | 261 | 322 | 1 | 0 | 0.20 | 5 | 23 |
| 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 | Dylan Wells | Heat (CAL) | 57 | 15 | 36 | 6 | 0.865 | 2.30 | 3343 | 0 | 7 | 128 | 946 | 497 | 2 | 4 | 0.818 | 22 | 57 | 0 | 3 | 1 | 1 |
| 2 | Jacob Fowler | Heat (CAL) | 1 | 0 | 0 | 0 | 0.750 | 5.00 | 24 | 0 | 0 | 2 | 8 | 2 | 0 | 0 | 0.000 | 0 | 0 | 34 | 0 | 0 | 0 |
| Team Total or Average | 58 | 15 | 36 | 6 | 0.864 | 2.32 | 3367 | 0 | 7 | 130 | 954 | 499 | 2 | 4 | 0.818 | 22 | 57 | 34 | 3 | 1 | 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$ | |||||||
| Dylan Wells | G | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Eemil Viro | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| 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$ | ||||||
| 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$ | ||||||
| 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 | ||||||
| Taige Harding | D | 23 | 975,000$ | 975,000$ | |||||||
| Trevor Janicke | RW | 24 | 975,000$ | 975,000$ | |||||||
| Tristan Broz | C | 22 | 925,000$ | 975,000$ | 975,000$ | ||||||
| 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 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 3 | 11 | -8 | 1 | 0.125 | 3 | 6 | 9 | 1 | 0 | 15 | 41 | 38 | 15 | 44 | 200 | 360 | 497 | 55 | 49 | 23 | 14 | 75 | 6 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 30.0% | 6.8% | 77.6% | 84.4 | Unlucky |
| 2 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 6 | 11 | 0 | 0 | 15 | 41 | 38 | 15 | 31 | 200 | 360 | 497 | 55 | 23 | 7 | 6 | 32 | 8 | 1 | 12.50% | 3 | 0 | 100.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 66.7% | 16.1% | 91.3% | 107.4 | LUCKY |
| 3 | Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 15 | 41 | 38 | 15 | 35 | 200 | 360 | 497 | 55 | 79 | 31 | 8 | 34 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 11.1% | 2.9% | 88.6% | 91.5 | Unlucky |
| 4 | Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 15 | 41 | 38 | 15 | 15 | 200 | 360 | 497 | 55 | 27 | 8 | 12 | 22 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 0.0% | 6.7% | 85.2% | 91.9 | Unlucky |
| 5 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 15 | 41 | 38 | 15 | 28 | 200 | 360 | 497 | 55 | 62 | 10 | 11 | 30 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 20.0% | 7.1% | 85.5% | 92.6 | Unlucky |
| 6 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 15 | 41 | 38 | 15 | 36 | 200 | 360 | 497 | 55 | 47 | 16 | 39 | 24 | 2 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 28.6% | 5.6% | 80.9% | 86.4 | Unlucky |
| 7 | Eagles | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 0.250 | 3 | 4 | 7 | 0 | 1 | 15 | 41 | 38 | 15 | 56 | 200 | 360 | 497 | 55 | 70 | 20 | 23 | 70 | 4 | 0 | 0.00% | 9 | 4 | 55.56% | 2 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 37.5% | 5.4% | 87.1% | 92.5 | Unlucky |
| 8 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 3 | 6 | 1 | 0 | 15 | 41 | 38 | 15 | 24 | 200 | 360 | 497 | 55 | 30 | 9 | 8 | 37 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 33.3% | 12.5% | 80.0% | 92.5 | FUN |
| 9 | Stars | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 15 | 41 | 38 | 15 | 25 | 200 | 360 | 497 | 55 | 16 | 6 | 9 | 26 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 75.0% | 12.0% | 93.8% | 105.8 | LUCKY |
| 10 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 15 | 41 | 38 | 15 | 30 | 200 | 360 | 497 | 55 | 81 | 24 | 8 | 46 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 16.7% | 6.7% | 92.6% | 99.3 | DULL |
| 11 | Condors | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 10 | 17 | -7 | 3 | 0.375 | 10 | 16 | 26 | 0 | 0 | 15 | 41 | 38 | 15 | 68 | 200 | 360 | 497 | 55 | 101 | 30 | 33 | 75 | 9 | 3 | 33.33% | 9 | 2 | 77.78% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 31.8% | 14.7% | 83.2% | 97.9 | FUN |
| 12 | Checkers 1 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 1 | 3 | 0 | 1 | 15 | 41 | 38 | 15 | 21 | 200 | 360 | 497 | 55 | 22 | 9 | 4 | 41 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 66.7% | 9.5% | 90.9% | 100.4 | FUN |
| 13 | Reign | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 6 | 0.750 | 8 | 12 | 20 | 1 | 0 | 15 | 41 | 38 | 15 | 56 | 200 | 360 | 497 | 55 | 72 | 22 | 12 | 57 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 50.0% | 14.3% | 90.3% | 104.6 | FUN |
| 14 | Wild | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 15 | 41 | 38 | 15 | 41 | 200 | 360 | 497 | 55 | 30 | 10 | 11 | 35 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 75.0% | 14.6% | 90.0% | 104.6 | FUN |
| 15 | Rocket | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 9 | 16 | 0 | 0 | 15 | 41 | 38 | 15 | 50 | 200 | 360 | 497 | 55 | 47 | 25 | 10 | 67 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 53.8% | 14.0% | 85.1% | 99.1 | FUN |
| 16 | Admirals | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | -5 | 1 | 0.167 | 2 | 4 | 6 | 0 | 0 | 15 | 41 | 38 | 15 | 37 | 200 | 360 | 497 | 55 | 42 | 8 | 17 | 54 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 25.0% | 5.4% | 83.3% | 88.7 | Unlucky |
| 17 | Comets | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 0.667 | 3 | 5 | 8 | 1 | 2 | 15 | 41 | 38 | 15 | 31 | 200 | 360 | 497 | 55 | 19 | 7 | 10 | 43 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 60.0% | 9.7% | 89.5% | 99.2 | FUN |
| 18 | Islanders | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 4 | 0 | 4 | 0.667 | 4 | 5 | 9 | 0 | 0 | 15 | 41 | 38 | 15 | 27 | 200 | 360 | 497 | 55 | 30 | 9 | 6 | 57 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 50.0% | 14.8% | 86.7% | 101.5 | FUN |
| 19 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 15 | 41 | 38 | 15 | 34 | 200 | 360 | 497 | 55 | 70 | 19 | 16 | 31 | 5 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 22.2% | 5.9% | 87.1% | 93.0 | Unlucky |
| 20 | Belleville Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 15 | 41 | 38 | 15 | 17 | 200 | 360 | 497 | 55 | 38 | 24 | 18 | 26 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 37.5% | 17.6% | 81.6% | 99.2 | FUN |
| 21 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 15 | 41 | 38 | 15 | 29 | 200 | 360 | 497 | 55 | 43 | 15 | 15 | 39 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 0.0% | 3.4% | 86.0% | 89.5 | Unlucky |
| 22 | Roadrunners | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | -9 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 15 | 41 | 38 | 15 | 24 | 200 | 360 | 497 | 55 | 49 | 14 | 20 | 52 | 2 | 0 | 0.00% | 10 | 4 | 60.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 0.0% | 0.0% | 81.6% | 81.6 | Unlucky |
| 23 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 15 | 41 | 38 | 15 | 30 | 200 | 360 | 497 | 55 | 76 | 27 | 21 | 39 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 11.1% | 3.3% | 89.5% | 92.8 | Unlucky |
| 24 | Barracuda | 4 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 10 | 6 | 4 | 7 | 0.875 | 10 | 13 | 23 | 0 | 1 | 15 | 41 | 38 | 15 | 54 | 200 | 360 | 497 | 55 | 41 | 21 | 29 | 77 | 9 | 4 | 44.44% | 7 | 1 | 85.71% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 54.5% | 18.5% | 85.4% | 103.9 | FUN |
| 25 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 15 | 41 | 38 | 15 | 17 | 200 | 360 | 497 | 55 | 82 | 30 | 10 | 35 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 14.3% | 5.9% | 91.5% | 97.3 | DULL |
| 26 | Crunch | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 3 | 6 | 0 | 0 | 15 | 41 | 38 | 15 | 20 | 200 | 360 | 497 | 55 | 28 | 3 | 8 | 22 | 2 | 1 | 50.00% | 4 | 2 | 50.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 40.0% | 15.0% | 82.1% | 97.1 | FUN |
| 27 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 15 | 41 | 38 | 15 | 39 | 200 | 360 | 497 | 55 | 76 | 31 | 31 | 39 | 3 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 36.4% | 10.3% | 85.5% | 95.8 | FUN |
| 28 | Canucks | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 7 | 13 | 0 | 1 | 15 | 41 | 38 | 15 | 47 | 200 | 360 | 497 | 55 | 82 | 17 | 41 | 52 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 30.8% | 12.8% | 87.8% | 100.6 | FUN |
| 29 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | -3 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 15 | 41 | 38 | 15 | 18 | 200 | 360 | 497 | 55 | 20 | 7 | 6 | 41 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 0.0% | 0.0% | 85.0% | 85.0 | Unlucky |
| 30 | Silver Knights | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 15 | 41 | 38 | 15 | 16 | 200 | 360 | 497 | 55 | 25 | 5 | 4 | 38 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 0.0% | 6.3% | 84.0% | 90.3 | Unlucky |
| 31 | Checkers 2 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 2 | 0.200 | 7 | 10 | 17 | 0 | 0 | 15 | 41 | 38 | 15 | 83 | 200 | 360 | 497 | 55 | 122 | 30 | 21 | 90 | 11 | 2 | 18.18% | 8 | 3 | 62.50% | 1 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 31.3% | 8.4% | 88.5% | 97.0 | Unlucky |
| _Vs Conference | 46 | 8 | 26 | 0 | 5 | 4 | 2 | 1 | 63 | 112 | -49 | 35 | 0.380 | 63 | 95 | 158 | 2 | 3 | 15 | 41 | 38 | 15 | 618 | 200 | 360 | 497 | 55 | 850 | 266 | 256 | 786 | 80 | 14 | 17.50% | 88 | 28 | 68.18% | 4 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 36.8% | 10.2% | 86.8% | 97.0 | FUN | |
| _Since Last GM Reset | 82 | 11 | 51 | 0 | 8 | 6 | 4 | 2 | 106 | 214 | -108 | 54 | 0.329 | 106 | 151 | 257 | 4 | 7 | 15 | 41 | 38 | 15 | 1083 | 200 | 360 | 497 | 55 | 1599 | 517 | 481 | 1406 | 138 | 21 | 15.22% | 158 | 49 | 68.99% | 6 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 34.0% | 9.8% | 86.6% | 96.4 | FUN | |
| Total | 82 | 11 | 51 | 0 | 8 | 6 | 4 | 2 | 106 | 214 | -108 | 54 | 0.329 | 106 | 151 | 257 | 4 | 7 | 15 | 41 | 38 | 15 | 1083 | 200 | 360 | 497 | 55 | 1599 | 517 | 481 | 1406 | 138 | 21 | 15.22% | 158 | 49 | 68.99% | 6 | 478 | 1033 | 46.27% | 532 | 1153 | 46.14% | 362 | 779 | 46.47% | 1358 | 464 | 1534 | 898 | 2064 | 1042 | 34.0% | 9.8% | 86.6% | 96.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1033 |
| Neutral Zone Start | 779 |
| Defensive Zone Start | 1153 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1372 |
| Faceoffs Lost | 1593 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 2.4 | 9.57 |
| 2nd Period | 6.8 | 20.31 |
| 3rd Period | 12.9 | 30.68 |
| Overtime | 13.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.7 | 1.65 |
| 3rd Period | 1.1 | 2.67 |
| Overtime | 1.3 | 2.83 |
| Even Strenght Goal | 75 |
|---|---|
| PP Goal | 21 |
| PK Goal | 6 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 11 | 12 |
| Lost | 25 | 26 |
| Overtime Lost | 5 | 3 |
| PP Attempt | 138 |
|---|---|
| PP Goal | 21 |
| PK Attempt | 158 |
| PK Goal Against | 49 |
| Home | |
|---|---|
| Shots For | 13.2 |
| Shots Against | 19.5 |
| Goals For | 1.3 |
| Goals Against | 2.6 |
| Hits | 17.1 |
| Shots Blocked | 6.3 |
| Pim | 5.9 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,435,156$ | 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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![]() |
![]() |
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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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,435,156$ | 3,435,156$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 5,188,420$ | 0$ | 4,188,432$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 26,244$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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