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Full Scoreboard »» |
![]() | San Jose Barracuda 2-1-0, 4pts · 6th 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 | C/LW/RW | 100.00 | 60 | 43 | 79 | 74 | 62 | 76 | 78 | 69 | 48 | 69 | 63 | 69 | 69 | 83 | 62 | 1 | 50 | 67 | 32 | 1,300,000$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 54 | 60 | 67 | 81 | 74 | 72 | 65 | 50 | 59 | 61 | 65 | 64 | 74 | 64 | 1 | 50 | 65 | 30 | 975,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 69 | 40 | 80 | 65 | 92 | 78 | 67 | 68 | 47 | 65 | 63 | 64 | 65 | 57 | 50 | 1 | 50 | 65 | 23 | 975,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 41 | 76 | 70 | 69 | 69 | 62 | 65 | 42 | 62 | 62 | 62 | 65 | 52 | 50 | 1 | 50 | 62 | 21 | 975,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 46 | 64 | 65 | 60 | 69 | 68 | 67 | 45 | 66 | 61 | 53 | 64 | 75 | 68 | 1 | 50 | 62 | 36 | 1,300,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 45 | 64 | 59 | 68 | 68 | 66 | 59 | 53 | 58 | 52 | 57 | 57 | 57 | 50 | 1 | 50 | 58 | 28 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 43 | 68 | 59 | 68 | 69 | 67 | 59 | 42 | 52 | 54 | 57 | 58 | 57 | 50 | 1 | 50 | 57 | 28 | 1,300,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 53 | 61 | 52 | 61 | 60 | 70 | 68 | 55 | 40 | 51 | 50 | 52 | 55 | 65 | 58 | 1 | 50 | 56 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 60 | 60 | 53 | 57 | 70 | 71 | 69 | 57 | 40 | 51 | 51 | 52 | 55 | 63 | 53 | 1 | 50 | 56 | 30 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 53 | 42 | 58 | 54 | 59 | 63 | 62 | 54 | 42 | 52 | 52 | 51 | 53 | 65 | 54 | 1 | 50 | 54 | 31 | 1,100,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 51 | 40 | 62 | 55 | 54 | 59 | 57 | 52 | 42 | 51 | 51 | 51 | 53 | 65 | 52 | 1 | 50 | 53 | 33 | 1,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 51 | 76 | 72 | 85 | 78 | 72 | 70 | 40 | 64 | 63 | 74 | 69 | 56 | 50 | 1 | 50 | 69 | 23 | 1,600,000$/4yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 70 | 68 | 63 | 69 | 67 | 64 | 40 | 59 | 60 | 66 | 64 | 57 | 50 | 1 | 50 | 62 | 28 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 69 | 65 | 65 | 66 | 65 | 60 | 40 | 55 | 53 | 63 | 60 | 53 | 50 | 1 | 50 | 60 | 25 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 40 | 68 | 61 | 63 | 68 | 66 | 57 | 40 | 53 | 52 | 60 | 57 | 65 | 55 | 1 | 50 | 59 | 32 | 1,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 42 | 62 | 61 | 65 | 61 | 59 | 59 | 40 | 57 | 55 | 61 | 58 | 50 | 50 | 1 | 50 | 59 | 21 | 886,667$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 42 | 67 | 64 | 64 | 63 | 60 | 57 | 40 | 52 | 52 | 61 | 58 | 53 | 50 | 1 | 50 | 58 | 25 | 1,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 52 | 41 | 58 | 57 | 55 | 58 | 58 | 54 | 40 | 52 | 51 | 58 | 53 | 75 | 68 | 1 | 50 | 56 | 37 | 1,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 60 | 40 | 74 | 69 | 69 | 75 | 62 | 64 | 40 | 61 | 62 | 61 | 65 | 51 | 50 | 1 | 50 | 62 | 20 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 68 | 67 | 59 | 63 | 83 | 77 | 75 | 64 | 40 | 59 | 57 | 66 | 61 | 78 | 71 | 1 | 50 | 66 | 33 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 74 | 70 | 63 | 73 | 72 | 67 | 40 | 64 | 61 | 69 | 66 | 75 | 56 | 1 | 50 | 65 | 31 | 1,100,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 81 | 79 | 79 | 89 | 81 | 79 | 77 | 78 | 78 | 81 | 74 | 71 | 64 | 1 | 50 | 73 | 29 | 2,500,000$/2yrs |
![]() | 0 | 100.00 | 63 | 56 | 56 | 68 | 62 | 60 | 61 | 57 | 62 | 60 | 51 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 66 | 65 | 60 | 65 | 64 | 63 | 64 | 61 | 63 | 63 | 67 | 65 | 58 | 1 | 50 | 59 | 32 | 1,100,000$/1yrs |
![]() | 0 | 100.00 | 69 | 59 | 56 | 62 | 62 | 60 | 61 | 59 | 61 | 62 | 57 | 56 | 51 | 1 | 50 | 56 | 28 | 1,300,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Coffey | 64 | 70 | 71 | 68 | 63 | 60 | 1 | CAN | 64 | 3 | 700,000$ |
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 | John Hayden | ![]() | C | 3 | 2 | 2 | 4 | 0 | 5 | 5 | 4 | 9 | 0 | 3 | 22.22% | 2 | 25.58 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 1 | 55.36% | 0 | 0 | 1.33 | 0 | 0 | 0.93 | |||
2 | Michael Callahan | ![]() | D | 3 | 0 | 3 | 3 | -1 | 2 | 0 | 2 | 0 | 0 | 2 | 0.00% | 1 | 21.83 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.45 | |||
3 | Elmer Soderblom | ![]() | LW | 3 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 5 | 5 | 8 | 20.00% | 4 | 24.01 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 42.50% | 0 | 0 | 1.00 | 0 | 0 | 1.05 | |||
4 | Joshua Roy | ![]() | LW/RW | 3 | 1 | 1 | 2 | -2 | 0 | 0 | 9 | 9 | 3 | 6 | 11.11% | 1 | 25.59 | 1 | 1 | 2 | 0 | 0 | 0 | 5 | 0 | 1 | 42.86% | 0 | 0 | 0.67 | 0 | 0 | 0.59 | |||
5 | Conor Sheary | ![]() | C/LW/RW | 3 | 2 | 0 | 2 | 1 | 0 | 0 | 4 | 14 | 4 | 2 | 14.29% | 0 | 19.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.67 | 1 | 1 | 1.02 | |||
6 | Alex Gallant | ![]() | LW | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 2 | 2 | 0 | 0.00% | 0 | 7.91 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.43 | |||
7 | Andy Welinski | ![]() | D | 3 | 0 | 1 | 1 | -2 | 0 | 0 | 1 | 2 | 2 | 0 | 0.00% | 0 | 20.59 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.05 | |||
8 | Jeff Kubiak | ![]() | C/LW/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 0 | 0 | 33.33% | 1 | 14.23 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 62.50% | 0 | 0 | 0.33 | 0 | 0 | 0.36 | |||
9 | Cavan Fitzgerald | ![]() | D | 3 | 0 | 1 | 1 | 0 | 4 | 0 | 4 | 2 | 0 | 1 | 0.00% | 2 | 28.42 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.05 | |||
10 | Brandon Baddock | ![]() | LW | 3 | 0 | 0 | 0 | -3 | 2 | 0 | 2 | 1 | 0 | 1 | 0.00% | 2 | 14.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.45 | |||
11 | Maveric Lamoureux | ![]() | D | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 2 | 18.02 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.23 | |||
12 | Ryan Dzingel | ![]() | C/LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
13 | Chris Terry | ![]() | C/LW/RW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 6 | 1 | 0 | 0.00% | 0 | 15.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 1 | 1 | -0.09 | |||
14 | Taylor Fedun | ![]() | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
15 | Nikita Pavlychev | ![]() | C | 3 | 0 | 0 | 0 | -2 | 2 | 0 | 6 | 2 | 1 | 1 | 0.00% | 1 | 14.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.24 | |||
16 | Cole Krygier | ![]() | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 10.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
17 | Jack Becker | ![]() | C/LW/RW | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 3 | 0 | 2 | 0.00% | 0 | 13.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.84% | 0 | 0 | 0.00 | 0 | 0 | -0.28 | |||
18 | Tyler Kleven | ![]() | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.00% | 4 | 21.67 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
Team Total or Average | 54 | 7 | 11 | 18 | -15 | 15 | 5 | 48 | 62 | 19 | 28 | 11.29% | 20 | 16.79 | 3 | 5 | 8 | 96 | 0 | 0 | 0 | 35 | 1 | 2 | 47.26% | 146 | 10 | 16 | 0 | 0 | 0.40 | 2 | 2 |
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 | Jonas Johansson | ![]() | 3 | 2 | 1 | 0 | 0.892 | 2.87 | 167 | 0 | 0 | 8 | 74 | 37 | 0 | 0 | 1.000 | 2 | 3 | 0 | 1 | 0 | 0 |
2 | Jesper Vikman | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 17 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.000 | 0 | 0 | 3 | 0 | 0 | 0 |
Team Total or Average | 4 | 2 | 1 | 0 | 0.895 | 2.60 | 185 | 0 | 0 | 8 | 76 | 37 | 0 | 0 | 1.000 | 2 | 3 | 3 | 1 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Gallant | LW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Andy Welinski | D | 32 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Brandon Baddock | LW | 30 | 975,000$ | 975,000$ | UFA | ||||||
Calle Rosen | D | 31 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Cavan Fitzgerald | D | 28 | 975,000$ | 975,000$ | UFA | ||||||
Chris Terry | C/LW/RW | 36 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Cole Krygier | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Conor Sheary | C/LW/RW | 32 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Dylan McIlrath | D | 33 | 975,000$ | 975,000$ | UFA | ||||||
Elmer Soderblom | LW | 23 | 975,000$ | 975,000$ | |||||||
Jack Becker | C/LW/RW | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Jeff Kubiak | C/LW/RW | 31 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Jeremy Brodeur | G | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Jesper Vikman | G | 23 | 975,000$ | 975,000$ | RFA | ||||||
John Hayden | C | 30 | 975,000$ | 975,000$ | UFA | ||||||
Jonas Johansson | G | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Jonathan Lekkerimaki | RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Joshua Roy | LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Maveric Lamoureux | D | 21 | 886,667$ | 975,000$ | 975,000$ | RFA | |||||
Michael Callahan | D | 25 | 1,100,000$ | 1,100,000$ | |||||||
Michael Houser | G | 32 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Nikita Pavlychev | C | 28 | 975,000$ | 975,000$ | UFA | ||||||
Ryan Dzingel | C/LW/RW | 33 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Taylor Fedun | D | 37 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Tyler Kleven | D | 23 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ |
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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 |
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1 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 0 | 3 | 4 | 2 | 17 | 22 | 16 | 23 | 3 | 17 | 7 | 4 | 19 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 25 | 50 | 50.00% | 27 | 59 | 45.76% | 17 | 37 | 45.95% | 52 | 21 | 61 | 33 | 70 | 35 | 50.0% | 23.5% | 82.4% | 105.9 | FUN |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 3 | 4 | 2 | 24 | 22 | 16 | 23 | 3 | 20 | 0 | 9 | 11 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 25 | 50 | 50.00% | 27 | 59 | 45.76% | 17 | 37 | 45.95% | 52 | 21 | 61 | 33 | 70 | 35 | 33.3% | 8.3% | 80.0% | 88.3 | Unlucky |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 3 | 4 | 2 | 21 | 22 | 16 | 23 | 3 | 39 | 13 | 2 | 18 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 25 | 50 | 50.00% | 27 | 59 | 45.76% | 17 | 37 | 45.95% | 52 | 21 | 61 | 33 | 70 | 35 | 50.0% | 9.5% | 97.4% | 107.0 | LUCKY |
_Vs Conference | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 0 | 3 | 4 | 2 | 38 | 22 | 16 | 23 | 3 | 56 | 20 | 6 | 37 | 12 | 3 | 25.00% | 3 | 1 | 66.67% | 0 | 25 | 50 | 50.00% | 27 | 59 | 45.76% | 17 | 37 | 45.95% | 52 | 21 | 61 | 33 | 70 | 35 | 50.0% | 15.8% | 92.9% | 108.6 | LUCKY | |
_Since Last GM Reset | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 11 | 19 | 0 | 0 | 0 | 3 | 4 | 2 | 62 | 22 | 16 | 23 | 3 | 76 | 20 | 15 | 48 | 12 | 3 | 25.00% | 5 | 1 | 80.00% | 0 | 25 | 50 | 50.00% | 27 | 59 | 45.76% | 17 | 37 | 45.95% | 52 | 21 | 61 | 33 | 70 | 35 | 41.7% | 12.9% | 89.5% | 102.4 | FUN | |
Total | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 11 | 19 | 0 | 0 | 0 | 3 | 4 | 2 | 62 | 22 | 16 | 23 | 3 | 76 | 20 | 15 | 48 | 12 | 3 | 25.00% | 5 | 1 | 80.00% | 0 | 25 | 50 | 50.00% | 27 | 59 | 45.76% | 17 | 37 | 45.95% | 52 | 21 | 61 | 33 | 70 | 35 | 41.7% | 12.9% | 89.5% | 102.4 | FUN |
Puck Time | |
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Offensive Zone | 17 |
Neutral Zone | 23 |
Defensive Zone | 20 |
Puck Time | |
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Offensive Zone Start | 50 |
Neutral Zone Start | 37 |
Defensive Zone Start | 59 |
Puck Time | |
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With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 69 |
Faceoffs Lost | 77 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.3 | 9.57 |
2nd Period | 12.7 | 20.31 |
3rd Period | 20.3 | 30.68 |
Overtime | 21.3 | 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 | 2.3 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 5 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 3 |
PK Attempt | 5 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 20.7 |
Shots Against | 25.3 |
Goals For | 2.7 |
Goals Against | 2.7 |
Hits | 16.0 |
Shots Blocked | 6.7 |
Pim | 5.0 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | S J2,CLB4 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | DET1,S J2 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,885,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | San Jose | |
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 | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,885,000$ | 2,885,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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169,704$ | 0$ | 136,568$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 21,213$ | 3,415,293$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,415,293$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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