|
|
|
|
|
|
|
Full Scoreboard »» |
![]() | San Jose Barracuda 18-7-4, 40pts · 2nd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Conor Sheary | 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$/2yrs | |||
Elmer Soderblom | 0 | LW | 100.00 | 69 | 40 | 80 | 65 | 92 | 78 | 67 | 68 | 47 | 65 | 63 | 64 | 65 | 57 | 50 | 1 | 50 | 65 | 23 | 975,000$/1yrs | |||
Joshua Roy | 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$/2yrs | |||
Chris Terry | 0 | C/LW/RW | 100.00 | 52 | 46 | 64 | 65 | 60 | 69 | 68 | 67 | 45 | 66 | 61 | 53 | 64 | 75 | 68 | 1 | 50 | 62 | 36 | 1,300,000$/2yrs | |||
Nikita Pavlychev | 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$/1yrs | |||
Jack Becker | 0 | C/LW/RW | 100.00 | 61 | 43 | 68 | 59 | 68 | 69 | 67 | 59 | 42 | 52 | 54 | 57 | 58 | 57 | 50 | 1 | 50 | 57 | 28 | 1,300,000$/2yrs | |||
Alex Gallant | 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$/1yrs | |||
Brandon Baddock | 0 | LW | 100.00 | 60 | 60 | 53 | 57 | 70 | 71 | 69 | 57 | 40 | 51 | 51 | 52 | 55 | 63 | 53 | 1 | 50 | 56 | 30 | 975,000$/1yrs | |||
Jeff Kubiak | 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$/1yrs | |||
Ryan Dzingel | 0 | C/LW/RW | 100.00 | 51 | 40 | 62 | 55 | 54 | 59 | 57 | 52 | 42 | 51 | 51 | 51 | 53 | 65 | 52 | 1 | 50 | 53 | 33 | 1,100,000$/2yrs | |||
Tyler Kleven | 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$/4yrs | |||
Michael Callahan | 0 | D | 100.00 | 61 | 42 | 69 | 65 | 65 | 66 | 65 | 60 | 40 | 55 | 53 | 63 | 60 | 53 | 50 | 1 | 50 | 60 | 25 | 1,100,000$/1yrs | |||
Andy Welinski | 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$/2yrs | |||
Maveric Lamoureux (R) | 0 | D | 100.00 | 62 | 42 | 62 | 61 | 65 | 61 | 59 | 59 | 40 | 57 | 55 | 61 | 58 | 50 | 50 | 1 | 50 | 59 | 21 | 886,667$/2yrs | |||
Cole Krygier | 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$/2yrs | |||
Taylor Fedun | 0 | D | 100.00 | 52 | 41 | 58 | 57 | 55 | 58 | 58 | 54 | 40 | 52 | 51 | 58 | 53 | 75 | 68 | 1 | 50 | 56 | 37 | 1,100,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
John Hayden | 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$/1yrs | |||
Jonathan Lekkerimaki (R) | 0 | RW | 100.00 | 60 | 40 | 74 | 69 | 69 | 75 | 62 | 64 | 40 | 61 | 62 | 61 | 65 | 51 | 50 | 1 | 50 | 62 | 20 | 975,000$/3yrs | |||
Dylan McIlrath | 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$/1yrs | |||
Calle Rosen | 0 | D | 100.00 | 59 | 42 | 74 | 70 | 63 | 73 | 72 | 67 | 40 | 64 | 61 | 69 | 66 | 75 | 56 | 1 | 50 | 65 | 31 | 1,100,000$/1yrs | |||
Cavan Fitzgerald | 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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonas Johansson | 0 | 100.00 | 81 | 79 | 79 | 89 | 81 | 79 | 77 | 78 | 78 | 81 | 74 | 71 | 64 | 1 | 50 | 73 | 29 | 2,500,000$/2yrs |
Jesper Vikman | 0 | 100.00 | 63 | 56 | 56 | 68 | 62 | 60 | 61 | 57 | 62 | 60 | 51 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Michael Houser | 0 | 100.00 | 66 | 65 | 60 | 65 | 64 | 63 | 64 | 61 | 63 | 63 | 67 | 65 | 58 | 1 | 50 | 59 | 32 | 1,100,000$/1yrs |
Jeremy Brodeur | 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 |
|---|
| 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 | Elmer Soderblom | Barracuda (SJ ) | LW | 29 | 15 | 9 | 24 | 0 | 2 | 0 | 30 | 62 | 17 | 40 | 24.19% | 7 | 23.53 | 9 | 3 | 12 | 0 | 0 | 0 | 36 | 4 | 1 | 48.43% | 0 | 0 | 0.83 | 1 | 1 | 0.79 | |||
| 2 | Joshua Roy | Barracuda (SJ ) | LW/RW | 29 | 8 | 13 | 21 | -5 | 4 | 0 | 44 | 70 | 30 | 54 | 11.43% | 10 | 24.41 | 2 | 7 | 9 | 0 | 0 | 0 | 48 | 1 | 1 | 52.67% | 0 | 0 | 0.72 | 1 | 4 | 0.69 | |||
| 3 | John Hayden | Barracuda (SJ ) | C | 29 | 7 | 13 | 20 | -1 | 50 | 20 | 47 | 55 | 11 | 36 | 12.73% | 19 | 23.82 | 2 | 6 | 8 | 0 | 0 | 0 | 41 | 1 | 1 | 50.88% | 0 | 0 | 0.69 | 0 | 1 | 0.36 | |||
| 4 | Conor Sheary | Barracuda (SJ ) | C/LW/RW | 29 | 11 | 9 | 20 | 2 | 13 | 5 | 33 | 66 | 23 | 33 | 16.67% | 6 | 20.44 | 2 | 3 | 5 | 0 | 0 | 0 | 8 | 3 | 1 | 61.11% | 0 | 0 | 0.69 | 2 | 7 | 0.66 | |||
| 5 | Tyler Kleven | Barracuda (SJ ) | D | 29 | 2 | 14 | 16 | 7 | 17 | 15 | 34 | 34 | 13 | 21 | 5.88% | 21 | 22.12 | 1 | 3 | 4 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 1 | 0 | 0.55 | 0 | 0 | 0.49 | |||
| 6 | Chris Terry | Barracuda (SJ ) | C/LW/RW | 29 | 4 | 5 | 9 | -3 | 0 | 0 | 31 | 39 | 10 | 26 | 10.26% | 1 | 16.42 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 45.00% | 0 | 0 | 0.31 | 4 | 7 | 0.30 | |||
| 7 | Cavan Fitzgerald | Barracuda (SJ ) | D | 29 | 0 | 8 | 8 | -1 | 20 | 10 | 38 | 21 | 16 | 17 | 0.00% | 20 | 23.42 | 0 | 2 | 2 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.15 | |||
| 8 | Jeff Kubiak | Barracuda (SJ ) | C/LW/RW | 24 | 4 | 3 | 7 | 3 | 10 | 0 | 27 | 15 | 1 | 3 | 26.67% | 3 | 14.59 | 1 | 1 | 2 | 0 | 0 | 0 | 16 | 1 | 1 | 47.92% | 0 | 0 | 0.29 | 0 | 0 | 0.23 | |||
| 9 | Jack Becker | Barracuda (SJ ) | C/LW/RW | 29 | 1 | 6 | 7 | 0 | 8 | 0 | 28 | 30 | 5 | 22 | 3.33% | 4 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.38% | 0 | 0 | 0.24 | 0 | 0 | 0.20 | |||
| 10 | Alex Gallant | Barracuda (SJ ) | LW | 24 | 1 | 5 | 6 | 2 | 2 | 0 | 11 | 6 | 6 | 2 | 16.67% | 2 | 7.13 | 1 | 1 | 2 | 0 | 0 | 0 | 25 | 0 | 1 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.22 | |||
| 11 | Michael Callahan | Barracuda (SJ ) | D | 29 | 0 | 6 | 6 | -6 | 11 | 5 | 26 | 11 | 6 | 14 | 0.00% | 26 | 21.74 | 0 | 2 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.08 | |||
| 12 | Brandon Baddock | Barracuda (SJ ) | LW | 29 | 4 | 1 | 5 | -1 | 14 | 0 | 51 | 18 | 8 | 13 | 22.22% | 9 | 15.73 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 30.00% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | |||
| 13 | Andy Welinski | Barracuda (SJ ) | D | 29 | 0 | 2 | 2 | -1 | 8 | 0 | 21 | 9 | 5 | 0 | 0.00% | 17 | 20.78 | 0 | 2 | 2 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 14 | Cole Krygier | Barracuda (SJ ) | D | 29 | 0 | 2 | 2 | 1 | 2 | 0 | 5 | 4 | 0 | 2 | 0.00% | 1 | 11.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.05 | |||
| 15 | Maveric Lamoureux | Barracuda (SJ ) | D | 29 | 0 | 1 | 1 | -4 | 20 | 0 | 18 | 6 | 3 | 1 | 0.00% | 13 | 18.10 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.11 | |||
| 16 | Nikita Pavlychev | Barracuda (SJ ) | C | 29 | 1 | 0 | 1 | -3 | 6 | 0 | 45 | 10 | 4 | 3 | 10.00% | 5 | 15.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 0 | 0 | 0.03 | 0 | 0 | 0.01 | |||
| 17 | Dylan McIlrath | Barracuda (SJ ) | D | 5 | 0 | 0 | 0 | -1 | 2 | 0 | 7 | 1 | 0 | 0 | 0.00% | 1 | 20.06 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
| 18 | Calle Rosen | Barracuda (SJ ) | D | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 0 | 5.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
| 19 | Jonathan Lekkerimaki | Barracuda (SJ ) | RW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 4 | 0.00% | 0 | 11.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
| 20 | Ryan Dzingel | Barracuda (SJ ) | C/LW/RW | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0.00% | 0 | 5.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 21 | Taylor Fedun | Barracuda (SJ ) | D | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.55 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| Team Total or Average | 522 | 58 | 97 | 155 | -11 | 189 | 55 | 502 | 461 | 160 | 293 | 12.58% | 165 | 16.75 | 18 | 30 | 48 | 538 | 0 | 0 | 0 | 383 | 12 | 7 | 49.51% | 1214 | 109 | 145 | 1 | 0 | 0.35 | 8 | 20 |
| 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 | Barracuda (SJ ) | 29 | 18 | 7 | 4 | 0.902 | 2.03 | 1745 | 4 | 3 | 59 | 604 | 304 | 1 | 0 | 0.952 | 21 | 29 | 0 | 4 | 1 | 0 |
| 2 | Jesper Vikman | Barracuda (SJ ) | 2 | 0 | 0 | 0 | 0.900 | 3.00 | 40 | 0 | 0 | 2 | 20 | 10 | 0 | 0 | 0.000 | 0 | 0 | 24 | 0 | 0 | 0 |
| Team Total or Average | 31 | 18 | 7 | 4 | 0.902 | 2.05 | 1785 | 4 | 3 | 61 | 624 | 314 | 1 | 0 | 0.952 | 21 | 29 | 24 | 4 | 1 | 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$ |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| |||||||
| |||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| |||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| |||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 6 | 3 | 3 | 6 | 1.000 | 6 | 10 | 16 | 0 | 1 | 9 | 22 | 23 | 12 | 43 | 118 | 154 | 179 | 30 | 49 | 11 | 12 | 52 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 66.7% | 14.0% | 93.9% | 107.8 | LUCKY |
| 2 | Moose | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 9 | 22 | 23 | 12 | 11 | 118 | 154 | 179 | 30 | 11 | 3 | 7 | 15 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 100.0% | 18.2% | 90.9% | 109.1 | FUN |
| 3 | Heat | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 9 | 22 | 23 | 12 | 15 | 118 | 154 | 179 | 30 | 12 | 6 | 4 | 13 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 0.0% | 6.7% | 83.3% | 90.0 | Unlucky |
| 4 | Wolves | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 9 | 22 | 23 | 12 | 5 | 118 | 154 | 179 | 30 | 19 | 8 | 10 | 14 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 0.0% | 20.0% | 89.5% | 109.5 | FUN |
| 5 | Eagles | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 9 | 22 | 23 | 12 | 17 | 118 | 154 | 179 | 30 | 17 | 7 | 4 | 19 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 50.0% | 23.5% | 82.4% | 105.9 | FUN |
| 6 | Monsters | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 12 | -1 | 5 | 0.625 | 11 | 17 | 28 | 0 | 0 | 9 | 22 | 23 | 12 | 92 | 118 | 154 | 179 | 30 | 91 | 16 | 22 | 65 | 8 | 3 | 37.50% | 6 | 2 | 66.67% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 44.4% | 12.0% | 86.8% | 98.8 | FUN |
| 7 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 22 | 23 | 12 | 9 | 118 | 154 | 179 | 30 | 21 | 6 | 4 | 18 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 0.0% | 0.0% | 90.5% | 90.5 | Unlucky |
| 8 | Griffins | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 11 | -2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 9 | 22 | 23 | 12 | 62 | 118 | 154 | 179 | 30 | 116 | 26 | 40 | 52 | 13 | 3 | 23.08% | 5 | 2 | 60.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 40.0% | 14.5% | 90.5% | 105.0 | FUN |
| 9 | Condors | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 9 | 22 | 23 | 12 | 42 | 118 | 154 | 179 | 30 | 43 | 13 | 15 | 29 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 66.7% | 11.9% | 88.4% | 100.3 | FUN |
| 10 | Checkers 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 9 | 22 | 23 | 12 | 9 | 118 | 154 | 179 | 30 | 13 | 4 | 2 | 14 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 100.0% | 11.1% | 100.0% | 111.1 | LUCKY |
| 11 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 9 | 22 | 23 | 12 | 25 | 118 | 154 | 179 | 30 | 34 | 9 | 4 | 21 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 75.0% | 16.0% | 94.1% | 110.1 | LUCKY |
| 12 | Wild | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 9 | 22 | 23 | 12 | 18 | 118 | 154 | 179 | 30 | 13 | 2 | 2 | 18 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 33.3% | 5.6% | 84.6% | 90.2 | Unlucky |
| 13 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 22 | 23 | 12 | 27 | 118 | 154 | 179 | 30 | 29 | 10 | 4 | 17 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 0.0% | 3.7% | 93.1% | 96.8 | DULL |
| 14 | Roadrunners | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 9 | 22 | 23 | 12 | 33 | 118 | 154 | 179 | 30 | 61 | 23 | 24 | 62 | 6 | 3 | 50.00% | 12 | 2 | 83.33% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 66.7% | 33.3% | 90.2% | 123.5 | FUN |
| 15 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 22 | 23 | 12 | 10 | 118 | 154 | 179 | 30 | 20 | 4 | 6 | 15 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky |
| 16 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 22 | 23 | 12 | 3 | 118 | 154 | 179 | 30 | 20 | 5 | 21 | 17 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 0.0% | 0.0% | 80.0% | 80.0 | Unlucky |
| 17 | Silver Knights | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 9 | 22 | 23 | 12 | 14 | 118 | 154 | 179 | 30 | 11 | 2 | 2 | 18 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 100.0% | 7.1% | 100.0% | 107.1 | DULL |
| 18 | Checkers 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 9 | 22 | 23 | 12 | 26 | 118 | 154 | 179 | 30 | 44 | 10 | 10 | 43 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 75.0% | 23.1% | 93.2% | 116.3 | LUCKY |
| _Vs Conference | 20 | 7 | 3 | 0 | 3 | 1 | 5 | 1 | 50 | 40 | 10 | 32 | 0.800 | 50 | 77 | 127 | 0 | 2 | 9 | 22 | 23 | 12 | 315 | 118 | 154 | 179 | 30 | 432 | 118 | 128 | 360 | 52 | 13 | 25.00% | 44 | 15 | 65.91% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 59.7% | 15.9% | 90.7% | 106.6 | FUN | |
| _Since Last GM Reset | 29 | 8 | 7 | 0 | 4 | 3 | 6 | 1 | 64 | 62 | 2 | 40 | 0.690 | 64 | 97 | 161 | 0 | 3 | 9 | 22 | 23 | 12 | 461 | 118 | 154 | 179 | 30 | 624 | 165 | 193 | 502 | 71 | 18 | 25.35% | 64 | 19 | 70.31% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 51.7% | 13.9% | 90.1% | 103.9 | FUN | |
| Total | 29 | 8 | 7 | 0 | 4 | 3 | 6 | 1 | 64 | 62 | 2 | 40 | 0.690 | 64 | 97 | 161 | 0 | 3 | 9 | 22 | 23 | 12 | 461 | 118 | 154 | 179 | 30 | 624 | 165 | 193 | 502 | 71 | 18 | 25.35% | 64 | 19 | 70.31% | 0 | 209 | 397 | 52.64% | 250 | 508 | 49.21% | 142 | 286 | 49.65% | 505 | 189 | 566 | 324 | 716 | 357 | 51.7% | 13.9% | 90.1% | 103.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 397 |
| Neutral Zone Start | 286 |
| Defensive Zone Start | 508 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 601 |
| Faceoffs Lost | 590 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 4.1 | 9.57 |
| 2nd Period | 9.4 | 20.31 |
| 3rd Period | 15.6 | 30.68 |
| Overtime | 16.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 1.1 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 2.3 | 2.83 |
| Even Strenght Goal | 46 |
|---|---|
| PP Goal | 18 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 8 |
| Lost | 3 | 4 |
| Overtime Lost | 2 | 2 |
| PP Attempt | 71 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 64 |
| PK Goal Against | 19 |
| Home | |
|---|---|
| Shots For | 15.9 |
| Shots Against | 21.5 |
| Goals For | 2.2 |
| Goals Against | 2.1 |
| Hits | 17.3 |
| Shots Blocked | 5.7 |
| Pim | 6.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | S J | @ | CLB | S J2,CLB4 | RECAP | |||||||||
| Fri, Oct 10 | DET | @ | S J | DET1,S J2 | RECAP | |||||||||
| Tue, Oct 14 | COL | @ | S J | COL3,S J4 (SO) | RECAP | |||||||||
| Thu, Oct 16 | PHO | @ | S J | PHO1,S J3 | RECAP | |||||||||
| Sat, Oct 18 | S J | @ | SEA | S J3,SEA2 (SO) | RECAP | |||||||||
| Tue, Oct 21 | DET | @ | S J | DET4,S J5 (SO) | RECAP | |||||||||
| Wed, Oct 22 | S J | @ | CLB | S J3,CLB4 (OT) | RECAP | |||||||||
| Sat, Oct 25 | LOS | @ | S J | LOS2,S J4 | RECAP | |||||||||
| Sun, Oct 26 | S J | @ | EDM | S J4,EDM3 (SO) | RECAP | |||||||||
| Wed, Oct 29 | CLB | @ | S J | CLB2,S J3 (OT) | RECAP | |||||||||
| Sat, Nov 1 | S J | @ | PHO | S J4,PHO3 | RECAP | |||||||||
| Sun, Nov 2 | EDM | @ | S J | EDM2,S J1 | RECAP | |||||||||
| Wed, Nov 5 | CAL | @ | S J | CAL2,S J1 (SO) | RECAP | |||||||||
| Fri, Nov 7 | S J | @ | ANA | S J1,ANA0 | RECAP | |||||||||
| Sun, Nov 9 | ANA | @ | S J | ANA2,S J3 (OT) | RECAP | |||||||||
| Mon, Nov 10 | S J | @ | NYR | S J1,NYR2 | RECAP | |||||||||
| Wed, Nov 12 | S J | @ | ANA | S J2,ANA1 (OT) | RECAP | |||||||||
| Thu, Nov 13 | CHI | @ | S J | CHI0,S J1 (SO) | RECAP | |||||||||
| Sun, Nov 16 | MIN | @ | S J | MIN2,S J1 (OT) | RECAP | |||||||||
| Tue, Nov 18 | S J | @ | SEA | S J3,SEA1 | RECAP | |||||||||
| Wed, Nov 19 | S J | @ | FLO | S J1,FLO0 (SO) | RECAP | |||||||||
| Fri, Nov 21 | DET | @ | S J | DET6,S J2 | RECAP | |||||||||
| Sun, Nov 23 | S J | @ | TAM | S J0,TAM2 | RECAP | |||||||||
| Tue, Nov 25 | CLB | @ | S J | CLB2,S J3 | RECAP | |||||||||
| Fri, Nov 28 | S J | @ | CAR | S J1,CAR2 (OT) | RECAP | |||||||||
| Sat, Nov 29 | PHO | @ | S J | PHO2,S J4 | RECAP | |||||||||
| Tue, Dec 2 | S J | @ | WPG | S J2,WPG1 (OT) | RECAP | |||||||||
| Wed, Dec 3 | DAL | @ | S J | DAL2,S J0 | RECAP | |||||||||
| Sat, Dec 6 | S J | @ | WAS | S J0,WAS4 | RECAP | |||||||||
| Mon, Dec 8 | PIT | @ | S J | |||||||||||
| Thu, Dec 11 | VAN | @ | S J | |||||||||||
| Fri, Dec 12 | S J | @ | LOS | |||||||||||
| Mon, Dec 15 | BOS | @ | S J | |||||||||||
| Tue, Dec 16 | S J | @ | MTL | |||||||||||
| Thu, Dec 18 | PHI | @ | S J | |||||||||||
| Sun, Dec 21 | S J | @ | CHI | |||||||||||
| Tue, Dec 23 | CHI | @ | S J | |||||||||||
| Fri, Dec 26 | S J | @ | CHI | |||||||||||
| Sun, Dec 28 | SEA | @ | S J | |||||||||||
| Wed, Dec 31 | S J | @ | PHO | |||||||||||
| Fri, Jan 2 | BUF | @ | S J | |||||||||||
| Mon, Jan 5 | LOS | @ | S J | |||||||||||
| Wed, Jan 7 | S J | @ | LOS | |||||||||||
| Fri, Jan 9 | STL | @ | S J | |||||||||||
| Sun, Jan 11 | S J | @ | NJD | |||||||||||
| Mon, Jan 12 | S J | @ | OTT | |||||||||||
| Tue, Jan 13 | WAS | @ | S J | |||||||||||
| Sat, Jan 17 | SEA | @ | S J | |||||||||||
| Sun, Jan 18 | S J | @ | DET | |||||||||||
| Tue, Jan 20 | S J | @ | STL | |||||||||||
| Wed, Jan 21 | CAL | @ | S J | |||||||||||
| Sat, Jan 24 | S J | @ | COL | |||||||||||
| Sun, Jan 25 | NAS | @ | S J | |||||||||||
| Tue, Jan 27 | S J | @ | CAL | |||||||||||
| Thu, Jan 29 | NJD | @ | S J | |||||||||||
| Sun, Feb 1 | S J | @ | NAS | |||||||||||
| Mon, Feb 2 | S J | @ | TOR | |||||||||||
| Tue, Feb 3 | WPG | @ | S J | |||||||||||
| Fri, Feb 6 | EDM | @ | S J | |||||||||||
| Sun, Feb 8 | S J | @ | DAL | |||||||||||
| Tue, Feb 10 | FLO | @ | S J | |||||||||||
| Fri, Feb 13 | S J | @ | EDM | |||||||||||
| Sat, Feb 14 | NYI | @ | S J | |||||||||||
| Mon, Feb 16 | S J | @ | BUF | |||||||||||
| Wed, Feb 18 | CAR | @ | S J | |||||||||||
| Sat, Feb 21 | S J | @ | WPG | |||||||||||
| Sun, Feb 22 | S J | @ | VAN | |||||||||||
| Mon, Feb 23 | NYR | @ | S J | |||||||||||
| Thu, Feb 26 | ANA | @ | S J | |||||||||||
| Sat, Feb 28 | S J | @ | COL | |||||||||||
| Mon, Mar 2 | COL | @ | S J | |||||||||||
| Wed, Mar 4 | S J | @ | PHI | |||||||||||
| Thu, Mar 5 | S J | @ | MIN | |||||||||||
| Sat, Mar 7 | OTT | @ | S J | |||||||||||
| Mon, Mar 9 | S J | @ | BOS | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Tue, Mar 10 | TAM | @ | S J | |||||||||||
| Sat, Mar 14 | MTL | @ | S J | |||||||||||
| Mon, Mar 16 | S J | @ | CLB | |||||||||||
| Wed, Mar 18 | S J | @ | NYI | |||||||||||
| Thu, Mar 19 | S J | @ | PIT | |||||||||||
| Sat, Mar 21 | S J | @ | CAL | |||||||||||
| Mon, Mar 23 | TOR | @ | S J | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,885,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Jose | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| 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 |
|---|---|---|---|
| 1,292,514$ | 0$ | 1,039,852$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 21,213$ | 2,291,004$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,291,004$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||


