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Full Scoreboard »» |
![]() | Stockton Heat 1-3-0, 2pts · 14th in Conference 2 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 98.00 | 72 | 41 | 84 | 79 | 72 | 75 | 71 | 75 | 42 | 71 | 70 | 66 | 75 | 55 | 50 | 1 | 50 | 69 | 22 | 975,000$/2yrs | |||
![]() | 0 | C | 98.00 | 64 | 41 | 77 | 71 | 71 | 73 | 62 | 63 | 62 | 58 | 59 | 61 | 65 | 51 | 50 | 1 | 50 | 62 | 22 | 975,000$/1yrs | |||
![]() | 0 | LW | 98.00 | 62 | 54 | 58 | 69 | 62 | 67 | 65 | 63 | 43 | 60 | 59 | 63 | 63 | 54 | 50 | 1 | 50 | 61 | 26 | 2,887,887$/1yrs | |||
![]() | 0 | C | 98.00 | 62 | 43 | 68 | 65 | 64 | 66 | 65 | 62 | 43 | 59 | 59 | 58 | 62 | 52 | 50 | 1 | 50 | 60 | 24 | 2,487,887$/1yrs | |||
![]() | 0 | RW | 98.00 | 60 | 41 | 72 | 65 | 64 | 61 | 59 | 63 | 43 | 62 | 58 | 57 | 62 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 58 | 43 | 68 | 61 | 66 | 68 | 66 | 64 | 43 | 61 | 59 | 54 | 61 | 57 | 50 | 1 | 50 | 59 | 28 | 1,500,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 56 | 40 | 74 | 65 | 59 | 60 | 58 | 63 | 43 | 61 | 55 | 52 | 61 | 50 | 50 | 1 | 50 | 58 | 20 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 57 | 42 | 64 | 62 | 61 | 62 | 61 | 62 | 55 | 60 | 59 | 55 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 925,000$/2yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | RW | 100.00 | 63 | 40 | 62 | 58 | 65 | 55 | 53 | 55 | 40 | 54 | 54 | 57 | 56 | 50 | 50 | 1 | 50 | 55 | 20 | 908,333$/2yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 43 | 68 | 66 | 61 | 73 | 72 | 65 | 40 | 64 | 55 | 68 | 62 | 65 | 56 | 1 | 50 | 63 | 32 | 2,487,887$/1yrs | |||
![]() | 0 | D | 98.00 | 57 | 48 | 62 | 68 | 61 | 71 | 68 | 63 | 40 | 61 | 56 | 65 | 62 | 58 | 52 | 1 | 50 | 62 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 43 | 68 | 65 | 69 | 65 | 63 | 63 | 40 | 60 | 56 | 68 | 61 | 52 | 50 | 1 | 50 | 62 | 24 | 1,000,000$/1yrs | |||
![]() | 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$/3yrs | |||
![]() | 0 | D | 100.00 | 56 | 51 | 59 | 65 | 63 | 69 | 67 | 63 | 40 | 58 | 58 | 62 | 62 | 57 | 51 | 1 | 50 | 61 | 28 | 2,487,887$/1yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 42 | 69 | 65 | 63 | 63 | 61 | 59 | 40 | 51 | 52 | 58 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 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$/2yrs | |||
![]() | 0 | C | 100.00 | 54 | 41 | 72 | 65 | 59 | 69 | 67 | 60 | 53 | 59 | 55 | 54 | 60 | 59 | 50 | 1 | 50 | 58 | 29 | 1,300,001$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 44 | 65 | 61 | 66 | 63 | 62 | 60 | 56 | 56 | 53 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 40 | 69 | 58 | 70 | 58 | 56 | 54 | 40 | 50 | 51 | 56 | 55 | 50 | 50 | 1 | 50 | 55 | 22 | 2,487,887$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 40 | 71 | 59 | 69 | 62 | 59 | 55 | 51 | 50 | 51 | 55 | 55 | 53 | 50 | 1 | 50 | 55 | 25 | 1,000,001$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 40 | 66 | 62 | 62 | 59 | 57 | 55 | 40 | 54 | 53 | 61 | 57 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
![]() | 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$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 68 | 63 | 63 | 70 | 67 | 66 | 69 | 66 | 66 | 66 | 57 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
![]() | 0 | 100.00 | 63 | 57 | 57 | 65 | 62 | 62 | 62 | 60 | 62 | 60 | 54 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 71 | 62 | 58 | 64 | 64 | 64 | 64 | 62 | 64 | 64 | 56 | 55 | 50 | 1 | 50 | 58 | 27 | 1,500,000$/1yrs |
![]() | 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 |
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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 |
# | 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 | Tyson Kozak | ![]() | C | 4 | 0 | 3 | 3 | -3 | 0 | 0 | 8 | 3 | 1 | 3 | 0.00% | 1 | 21.35 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 75.00% | 0 | 0 | 0.75 | 0 | 0 | 0.37 | |||
2 | Jacob Gaucher | ![]() | C | 4 | 2 | 0 | 2 | -1 | 0 | 0 | 14 | 8 | 1 | 5 | 25.00% | 0 | 18.21 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 51.61% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | |||
3 | Adam Sykora | ![]() | LW | 4 | 0 | 2 | 2 | -1 | 2 | 0 | 3 | 1 | 0 | 3 | 0.00% | 1 | 16.26 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.20 | |||
4 | Daniil Misyul | ![]() | D | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 12.55 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.10 | |||
5 | Mackie Samoskevich | ![]() | RW | 4 | 1 | 0 | 1 | -3 | 0 | 0 | 3 | 11 | 1 | 13 | 9.09% | 1 | 23.06 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 0 | 34.18% | 0 | 0 | 0.25 | 0 | 0 | 0.13 | |||
6 | Matt Luff | ![]() | RW | 4 | 0 | 1 | 1 | -2 | 17 | 5 | 12 | 6 | 0 | 3 | 0.00% | 1 | 15.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.56 | |||
7 | Tye Felhaber | ![]() | LW | 4 | 1 | 0 | 1 | -3 | 2 | 0 | 6 | 12 | 0 | 2 | 8.33% | 1 | 19.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.25 | 0 | 0 | 0.10 | |||
8 | Adam Wilsby | ![]() | D | 4 | 1 | 0 | 1 | -3 | 0 | 0 | 3 | 8 | 3 | 2 | 12.50% | 4 | 22.45 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.15 | |||
9 | Adam Engstrom | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 9.32 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
10 | Casey Fitzgerald | ![]() | D | 4 | 0 | 0 | 0 | -5 | 0 | 0 | 7 | 2 | 2 | 2 | 0.00% | 3 | 26.94 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.34 | |||
11 | Sasha Pastujov | ![]() | RW | 4 | 0 | 0 | 0 | -5 | 0 | 0 | 5 | 3 | 2 | 2 | 0.00% | 0 | 20.87 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 42.86% | 0 | 0 | 0.00 | 0 | 0 | -0.38 | |||
12 | Dysin Mayo | ![]() | D | 4 | 0 | 0 | 0 | -1 | 7 | 5 | 4 | 3 | 0 | 1 | 0.00% | 1 | 15.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.31 | |||
13 | Robbie Russo | ![]() | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 0 | 0 | 0.00% | 1 | 14.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
14 | Julian Lutz | ![]() | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 0 | 13.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
15 | Kasper Halttunen | ![]() | RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 2 | 0 | 0.00% | 0 | 13.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | |||
16 | Tristan Broz | ![]() | C | 4 | 0 | 0 | 0 | -3 | 4 | 0 | 4 | 2 | 4 | 6 | 0.00% | 0 | 13.59 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.32 | |||
17 | Ilya Solovyov | ![]() | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 6 | 2 | 0 | 1 | 0.00% | 2 | 20.59 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
18 | Eemil Viro | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 72 | 5 | 7 | 12 | -35 | 34 | 10 | 86 | 66 | 16 | 43 | 7.58% | 16 | 16.47 | 1 | 1 | 2 | 70 | 0 | 0 | 0 | 55 | 1 | 1 | 43.54% | 147 | 19 | 23 | 0 | 0 | 0.20 | 0 | 0 |
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 | ![]() | 4 | 1 | 3 | 0 | 0.872 | 2.75 | 240 | 0 | 0 | 11 | 86 | 52 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 1 | 0 |
Team Total or Average | 4 | 1 | 3 | 0 | 0.872 | 2.75 | 240 | 0 | 0 | 11 | 86 | 52 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 1 | 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 | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
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$ | RFA | |||||
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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 9 | 8 | 29 | 29 | 0 | 15 | 3 | 2 | 23 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 2 | 3 | 0 | 15 | 8 | 29 | 29 | 0 | 10 | 2 | 0 | 21 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 25.0% | 6.7% | 70.0% | 76.7 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 3 | 0 | 21 | 8 | 29 | 29 | 0 | 38 | 8 | 28 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 28.6% | 9.5% | 86.8% | 96.4 | FUN |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 3 | 0 | 21 | 8 | 29 | 29 | 0 | 23 | 3 | 4 | 19 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 50.0% | 9.5% | 95.7% | 105.2 | LUCKY |
_Vs Conference | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 3 | 0 | 45 | 8 | 29 | 29 | 0 | 48 | 8 | 6 | 63 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 25.0% | 6.7% | 87.5% | 94.2 | Unlucky | |
_Since Last GM Reset | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.250 | 5 | 7 | 12 | 0 | 0 | 0 | 2 | 3 | 0 | 66 | 8 | 29 | 29 | 0 | 86 | 16 | 34 | 86 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 26.7% | 7.6% | 87.2% | 94.8 | Unlucky | |
Total | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.250 | 5 | 7 | 12 | 0 | 0 | 0 | 2 | 3 | 0 | 66 | 8 | 29 | 29 | 0 | 86 | 16 | 34 | 86 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 18 | 53 | 33.96% | 26 | 50 | 52.00% | 20 | 44 | 45.45% | 65 | 24 | 76 | 44 | 97 | 47 | 26.7% | 7.6% | 87.2% | 94.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 16 |
Neutral Zone | 24 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 53 |
Neutral Zone Start | 44 |
Defensive Zone Start | 50 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 64 |
Faceoffs Lost | 83 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 2.0 | 9.57 |
2nd Period | 9.3 | 20.31 |
3rd Period | 16.5 | 30.68 |
Overtime | 16.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.5 | 1.65 |
3rd Period | 1.3 | 2.67 |
Overtime | 1.3 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 1 |
PK Attempt | 7 |
PK Goal Against | 0 |
Home | |
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Shots For | 16.5 |
Shots Against | 21.5 |
Goals For | 1.3 |
Goals Against | 2.8 |
Hits | 21.5 |
Shots Blocked | 4.0 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | SEA1,CAL2 | RECAP | |||||||||
Sat, Oct 11 | ![]() | @ | ![]() | CAL1,NAS3 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | VAN5,CAL2 | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | CAL0,COL2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Mar 11 | ![]() | @ | ![]() | |||||||||||
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Sun, Mar 22 | ![]() | @ | ![]() |
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 |
39 | 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 |
---|---|---|---|
262,912$ | 0$ | 215,576$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 32,864$ | 5,291,104$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
5,291,104$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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