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 | 100.00 | 73 | 64 | 58 | 69 | 71 | 75 | 72 | 82 | 44 | 80 | 79 | 69 | 76 | 52 | 47 | 82 | 50 | 68 | 18 | 900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 47 | 70 | 66 | 73 | 67 | 77 | 73 | 73 | 77 | 64 | 75 | 62 | 92 | 91 | 3 | 50 | 68 | 33 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 44 | 75 | 67 | 77 | 76 | 69 | 77 | 77 | 75 | 72 | 70 | 72 | 53 | 48 | 77 | 50 | 66 | 19 | 850,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 78 | 73 | 59 | 73 | 74 | 76 | 74 | 77 | 44 | 72 | 73 | 67 | 71 | 53 | 48 | 75 | 52 | 66 | 19 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 55 | 65 | 69 | 65 | 74 | 74 | 72 | 63 | 74 | 69 | 65 | 70 | 55 | 57 | 81 | 50 | 65 | 17 | 850,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 80 | 52 | 74 | 63 | 81 | 74 | 70 | 59 | 54 | 72 | 80 | 64 | 86 | 56 | 51 | 83 | 48 | 65 | 20 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 51 | 35 | 77 | 63 | 76 | 68 | 67 | 62 | 77 | 56 | 61 | 76 | 63 | 99 | 99 | 1 | 50 | 64 | 38 | 2,100,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 60 | 68 | 65 | 77 | 73 | 72 | 68 | 62 | 69 | 65 | 68 | 69 | 52 | 47 | 83 | 50 | 63 | 18 | 650,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 58 | 67 | 70 | 74 | 68 | 71 | 68 | 51 | 65 | 69 | 67 | 72 | 53 | 48 | 79 | 50 | 63 | 18 | 650,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 65 | 62 | 63 | 77 | 48 | 77 | 64 | 76 | 61 | 59 | 69 | 59 | 87 | 83 | 8 | 50 | 63 | 33 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 68 | 55 | 69 | 68 | 69 | 73 | 68 | 68 | 60 | 69 | 67 | 64 | 67 | 55 | 55 | 79 | 50 | 63 | 17 | 750,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 66 | 54 | 64 | 68 | 76 | 74 | 72 | 71 | 51 | 66 | 65 | 69 | 71 | 53 | 48 | 75 | 50 | 63 | 19 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 46 | 30 | 86 | 68 | 72 | 56 | 57 | 58 | 88 | 58 | 50 | 80 | 55 | 99 | 95 | 1 | 50 | 62 | 39 | 1,200,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 55 | 37 | 83 | 63 | 74 | 59 | 76 | 65 | 64 | 61 | 62 | 67 | 60 | 82 | 79 | 31 | 50 | 62 | 31 | 1,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 49 | 32 | 85 | 64 | 77 | 45 | 57 | 73 | 33 | 68 | 69 | 68 | 58 | 71 | 64 | 60 | 50 | 62 | 28 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 57 | 66 | 67 | 76 | 68 | 70 | 67 | 45 | 70 | 68 | 81 | 59 | 52 | 47 | 82 | 50 | 66 | 18 | 800,000$/2yrs | |||
![]() | 0 | D | 99.00 | 72 | 55 | 68 | 68 | 76 | 76 | 71 | 70 | 50 | 76 | 69 | 68 | 70 | 61 | 59 | 88 | 50 | 66 | 17 | 900,000$/3yrs | |||
![]() | 0 | D | 99.00 | 61 | 41 | 78 | 64 | 73 | 68 | 79 | 64 | 30 | 63 | 66 | 77 | 55 | 83 | 82 | 30 | 50 | 66 | 30 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 55 | 69 | 69 | 69 | 76 | 74 | 67 | 50 | 73 | 64 | 67 | 65 | 58 | 55 | 86 | 52 | 64 | 17 | 800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 53 | 38 | 87 | 59 | 80 | 75 | 69 | 51 | 30 | 53 | 55 | 79 | 54 | 82 | 82 | 31 | 50 | 64 | 31 | 1,800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 70 | 55 | 53 | 68 | 71 | 75 | 72 | 63 | 58 | 65 | 65 | 67 | 64 | 55 | 57 | 78 | 48 | 62 | 17 | 750,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 80 | 81 | 74 | 60 | 77 | 50 | 85 | 53 | 54 | 51 | 49 | 64 | 54 | 89 | 84 | 6 | 48 | 59 | 33 | 675,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 55 | 69 | 68 | 67 | 61 | 65 | 63 | 50 | 65 | 61 | 60 | 62 | 55 | 55 | 70 | 48 | 60 | 17 | 700,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 44 | 79 | 63 | 77 | 52 | 50 | 56 | 33 | 50 | 49 | 74 | 48 | 79 | 74 | 34 | 48 | 60 | 31 | 850,000$/1yrs | |||
TEAM AVERAGE | 99.92 | 65 | 52 | 71 | 66 | 74 | 67 | 70 | 66 | 55 | 66 | 65 | 70 | 64 | 68 | 65 | 55 | 50 | 64 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 73 | 77 | 80 | 79 | 83 | 78 | 81 | 78 | 72 | 65 | 62 | 62 | 72 | 50 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 79 | 92 | 81 | 77 | 66 | 87 | 70 | CAN | 52 | 8 | 2,000,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | ![]() | RW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 14 | 3 | 9 | 7.14% | 1 | 21.57 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 1 | 3 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
![]() | ![]() | D | 2 | 0 | 1 | 1 | -3 | 2 | 0 | 8 | 10 | 2 | 1 | 0.00% | 3 | 27.97 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
![]() | ![]() | D | 2 | 0 | 1 | 1 | 0 | 5 | 5 | 4 | 3 | 1 | 2 | 0.00% | 0 | 21.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
![]() | ![]() | C | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 5 | 5 | 0 | 0 | 20.00% | 0 | 16.81 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 45.83% | 24 | 1 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
![]() | ![]() | LW | 2 | 1 | 0 | 1 | 1 | 5 | 5 | 7 | 5 | 1 | 0 | 20.00% | 1 | 20.67 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 25.00% | 4 | 1 | 1 | 0 | 0 | 0.48 | 0 | 0 | ||
![]() | ![]() | C | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 10 | 0 | 3 | 0.00% | 0 | 21.55 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 57.14% | 63 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
![]() | ![]() | RW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 11 | 4 | 1 | 0 | 0.00% | 0 | 16.13 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 1 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
![]() | ![]() | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 5.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 8.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 5 | 3 | 1 | 2 | 0.00% | 3 | 24.03 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 2 | 0 | 3 | 0.00% | 0 | 8.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C/LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 0 | 0 | 1 | 0.00% | 1 | 11.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C/LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 11.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | LW | 2 | 0 | 0 | 0 | -1 | 10 | 10 | 1 | 0 | 1 | 1 | 0.00% | 0 | 14.62 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 1 | 16.72 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C/LW/RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 6 | 4 | 2 | 0.00% | 0 | 11.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 2 | 0 | 0 | 0 | -3 | 2 | 0 | 4 | 8 | 2 | 1 | 0.00% | 0 | 25.17 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 0 | 8.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 40 | 3 | 4 | 7 | -15 | 26 | 20 | 72 | 73 | 17 | 28 | 4.11% | 10 | 14.85 | 2 | 3 | 5 | 42 | 0 | 0 | 0 | 23 | 1 | 1 | 53.47% | 101 | 13 | 4 | 0 | 0 | 0.24 | 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 | Darcy Kuemper | Stockton Heat (CGY) | 2 | 1 | 1 | 0 | 0.897 | 2.00 | 120 | 0 | 0 | 4 | 39 | 22 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Team Total or Average | 2 | 1 | 1 | 0 | 0.897 | 2.00 | 120 | 0 | 0 | 4 | 39 | 22 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Texier ![]() | C/LW | 17 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | RFA | ||||
Andrew Peeke ![]() | D | 18 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Antoine Morand ![]() | C | 17 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Anton Stralman ![]() | D | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Boris Katchouk ![]() | LW | 18 | 650,000$ | 650,000$ | 650,000$ | RFA | |||||
Brendan Perlini ![]() | LW | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Darcy Kuemper ![]() | G | 27 | 2,000,000$ | 2,000,000$ | UFA | ||||||
David Ullstrom ![]() | LW/RW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Dennis Yan ![]() | LW | 19 | 700,000$ | 700,000$ | RFA | ||||||
Elvis Merzlikins ![]() | G | 22 | 650,000$ | 650,000$ | RFA | ||||||
Eric Belanger ![]() | C | 39 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Henri Jokiharju ![]() | D | 17 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | RFA | ||||
Jake Leschyshyn ![]() | C | 17 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | RFA | ||||
Jean-Christophe Beaudin ![]() | RW | 19 | 700,000$ | 700,000$ | RFA | ||||||
Julius Nattinen ![]() | C | 19 | 850,000$ | 850,000$ | RFA | ||||||
Juuso Valimaki ![]() | D | 17 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Kevin Porter ![]() | C/LW/RW | 31 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Matthew Stajan ![]() | C | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Nate Prosser ![]() | D | 31 | 850,000$ | 850,000$ | UFA | ||||||
Nikita Nikitin ![]() | D | 31 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Reilly Walsh ![]() | D | 17 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | RFA | ||||
Ryan Carter ![]() | C/LW | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Shawn Horcoff ![]() | C/LW | 38 | 2,100,000$ | 2,100,000$ | UFA | ||||||
Tanner Glass ![]() | LW | 33 | 675,000$ | 675,000$ | UFA | ||||||
Trent Frederic ![]() | C | 18 | 650,000$ | 650,000$ | 650,000$ | RFA | |||||
Vitaly Abramov ![]() | RW | 18 | 900,000$ | 900,000$ | 900,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
San Jose Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 40 | 23 | 31 | 19 | 0 | 19 | 9 | 17 | 31 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 26 | 52 | 50.00% | 15 | 27 | 55.56% | 13 | 22 | 59.09% | 44 | 24 | 34 | 19 | 40 | 20 | 0.0% | 2.5% | 84.2% | 86.7 | Unlucky |
Bakersfield Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 23 | 31 | 19 | 0 | 20 | 1 | 9 | 41 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 26 | 52 | 50.00% | 15 | 27 | 55.56% | 13 | 22 | 59.09% | 44 | 24 | 34 | 19 | 40 | 20 | 50.0% | 6.1% | 95.0% | 101.1 | DULL |
_Vs Division | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 23 | 31 | 19 | 0 | 20 | 1 | 9 | 41 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 26 | 52 | 50.00% | 15 | 27 | 55.56% | 13 | 22 | 59.09% | 44 | 24 | 34 | 19 | 40 | 20 | 50.0% | 6.1% | 95.0% | 101.1 | DULL |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 73 | 23 | 31 | 19 | 0 | 39 | 10 | 26 | 72 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 26 | 52 | 50.00% | 15 | 27 | 55.56% | 13 | 22 | 59.09% | 44 | 24 | 34 | 19 | 40 | 20 | 20.0% | 4.1% | 89.7% | 93.9 | Unlucky |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 73 | 23 | 31 | 19 | 0 | 39 | 10 | 26 | 72 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 26 | 52 | 50.00% | 15 | 27 | 55.56% | 13 | 22 | 59.09% | 44 | 24 | 34 | 19 | 40 | 20 | 20.0% | 4.1% | 89.7% | 93.9 | Unlucky |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 73 | 23 | 31 | 19 | 0 | 39 | 10 | 26 | 72 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 26 | 52 | 50.00% | 15 | 27 | 55.56% | 13 | 22 | 59.09% | 44 | 24 | 34 | 19 | 40 | 20 | 20.0% | 4.1% | 89.7% | 93.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 20 |
Defensive Zone | 17 |
Puck Time | |
---|---|
Offensive Zone Start | 52 |
Neutral Zone Start | 22 |
Defensive Zone Start | 27 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 54 |
Faceoffs Lost | 47 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 27.0 | 20.31 |
3rd Period | 36.5 | 30.68 |
Overtime | 36.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.5 | 2.67 |
Overtime | 1.5 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 6 |
---|---|
PP Goal | 2 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 36.5 |
Shots Against | 19.5 |
Goals For | 1.5 |
Goals Against | 2.0 |
Hits | 36.0 |
Shots Blocked | 5.0 |
Pim | 13.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,727,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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City | Stockton | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 12$ | 5$ | $ | $ | $ |
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 |
14 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,727,500$ | 2,727,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 82 | 0$ | 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 |
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Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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