![]() | San Jose Barracuda 47-21-14, 108pts · 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$/2yrs | |||
John Hayden | 0 | C | 100.00 | 70 | 54 | 60 | 67 | 81 | 74 | 72 | 65 | 50 | 59 | 61 | 65 | 64 | 74 | 64 | 1 | 50 | 65 | 30 | 975,000$/1yrs | |||
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$/1yrs | |||
Chris Terry | 0 | C/LW/RW | 100.00 | 52 | 46 | 64 | 65 | 60 | 69 | 68 | 67 | 45 | 66 | 61 | 53 | 64 | 75 | 68 | 1 | 50 | 62 | 36 | 1,300,000$/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 | |||
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$/2yrs | |||
Henry Thrun | 0 | D | 100.00 | 65 | 55 | 79 | 75 | 84 | 86 | 75 | 71 | 40 | 69 | 65 | 73 | 70 | 59 | 50 | 1 | 50 | 70 | 24 | 975,000$/1yrs | |||
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$/4yrs | |||
Dylan McIlrath | 0 | D | 100.00 | 68 | 67 | 59 | 63 | 83 | 77 | 75 | 64 | 40 | 59 | 57 | 66 | 61 | 78 | 71 | 1 | 50 | 66 | 33 | 975,000$/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 | |||
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 | |||
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 | ||||||||||||||||||||||||||
Alex Gallant | 0 | LW | 95.74 | 53 | 61 | 52 | 61 | 60 | 70 | 68 | 55 | 40 | 51 | 50 | 52 | 55 | 65 | 58 | 1 | 50 | 56 | 32 | 1,000,000$/1yrs | |||
Maveric Lamoureux (R) | 0 | D | 100.00 | 62 | 42 | 62 | 61 | 65 | 61 | 59 | 59 | 40 | 57 | 55 | 61 | 58 | 50 | 50 | 1 | 50 | 59 | 21 | 886,667$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dan Vladar | 0 | 100.00 | 83 | 83 | 82 | 88 | 86 | 81 | 78 | 78 | 80 | 83 | 77 | 68 | 61 | 1 | 50 | 74 | 27 | 2,700,000$/2yrs |
Jonas Johansson | 0 | 100.00 | 81 | 79 | 79 | 89 | 81 | 79 | 77 | 78 | 78 | 81 | 74 | 71 | 64 | 1 | 50 | 73 | 29 | 2,500,000$/2yrs |
| 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 |
Jesper Vikman | 0 | 100.00 | 63 | 56 | 56 | 68 | 62 | 60 | 61 | 57 | 62 | 60 | 51 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Paul Coffey | 64 | 70 | 71 | 68 | 63 | 60 | 1 | CAN | 64 | 3 | 700,000$ |
| 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 | Conor Sheary | Barracuda (SJ ) | C/LW/RW | 82 | 34 | 38 | 72 | 8 | 33 | 15 | 110 | 222 | 72 | 121 | 15.32% | 32 | 22.56 | 7 | 12 | 19 | 0 | 1 | 1 | 87 | 9 | 3 | 51.56% | 1 | 2 | 0.88 | 5 | 18 | 0.85 | |||
| 2 | John Hayden | Barracuda (SJ ) | C | 82 | 21 | 33 | 54 | 7 | 92 | 30 | 118 | 148 | 29 | 79 | 14.19% | 30 | 22.21 | 4 | 10 | 14 | 2 | 1 | 3 | 106 | 5 | 4 | 52.53% | 0 | 0 | 0.66 | 3 | 9 | 0.47 | |||
| 3 | Elmer Soderblom | Barracuda (SJ ) | LW | 82 | 28 | 26 | 54 | 0 | 37 | 15 | 101 | 141 | 32 | 91 | 19.86% | 29 | 23.23 | 13 | 8 | 21 | 1 | 1 | 2 | 149 | 6 | 2 | 45.22% | 1 | 1 | 0.66 | 3 | 10 | 0.54 | |||
| 4 | Tyler Kleven | Barracuda (SJ ) | D | 82 | 7 | 35 | 42 | 13 | 37 | 25 | 90 | 96 | 51 | 54 | 7.29% | 88 | 23.94 | 4 | 8 | 12 | 0 | 1 | 1 | 184 | 1 | 0 | 0.00% | 2 | 0 | 0.51 | 1 | 3 | 0.48 | |||
| 5 | Chris Terry | Barracuda (SJ ) | C/LW/RW | 82 | 21 | 17 | 38 | 0 | 44 | 10 | 94 | 146 | 50 | 62 | 14.38% | 17 | 18.29 | 3 | 3 | 6 | 0 | 1 | 1 | 31 | 6 | 3 | 42.68% | 0 | 0 | 0.46 | 5 | 14 | 0.41 | |||
| 6 | Jack Becker | Barracuda (SJ ) | C/LW/RW | 82 | 4 | 14 | 18 | 0 | 18 | 0 | 80 | 58 | 18 | 38 | 6.90% | 14 | 16.03 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 44.25% | 0 | 0 | 0.22 | 0 | 0 | 0.18 | |||
| 7 | Brandon Baddock | Barracuda (SJ ) | LW | 82 | 11 | 5 | 16 | 6 | 36 | 0 | 115 | 45 | 18 | 34 | 24.44% | 16 | 16.18 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 1 | 2 | 41.03% | 0 | 0 | 0.20 | 0 | 0 | 0.16 | |||
| 8 | Cavan Fitzgerald | Barracuda (SJ ) | D | 82 | 1 | 14 | 15 | 8 | 28 | 10 | 54 | 38 | 19 | 26 | 2.63% | 35 | 15.47 | 0 | 3 | 3 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.16 | |||
| 9 | Nikita Pavlychev | Barracuda (SJ ) | C | 82 | 5 | 9 | 14 | 5 | 28 | 0 | 102 | 31 | 11 | 23 | 16.13% | 17 | 16.18 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 47.06% | 0 | 0 | 0.17 | 1 | 1 | 0.13 | |||
| 10 | Dylan McIlrath | Barracuda (SJ ) | D | 58 | 1 | 11 | 12 | 6 | 54 | 10 | 58 | 41 | 8 | 19 | 2.44% | 31 | 21.81 | 1 | 1 | 2 | 0 | 1 | 1 | 75 | 0 | 0 | 60.00% | 0 | 0 | 0.21 | 0 | 0 | 0.10 | |||
| 11 | Alex Gallant | Barracuda (SJ ) | LW | 72 | 3 | 8 | 11 | 5 | 10 | 0 | 52 | 19 | 9 | 10 | 15.79% | 10 | 12.07 | 1 | 1 | 2 | 1 | 0 | 1 | 81 | 1 | 1 | 50.00% | 0 | 0 | 0.15 | 0 | 0 | 0.14 | |||
| 12 | Andy Welinski | Barracuda (SJ ) | D | 82 | 0 | 10 | 10 | 6 | 16 | 0 | 40 | 21 | 10 | 6 | 0.00% | 40 | 17.02 | 0 | 3 | 3 | 0 | 0 | 0 | 59 | 0 | 0 | 83.33% | 0 | 0 | 0.12 | 0 | 0 | 0.11 | |||
| 13 | Michael Callahan | Barracuda (SJ ) | D | 82 | 1 | 9 | 10 | -14 | 62 | 20 | 64 | 30 | 12 | 25 | 3.33% | 51 | 18.93 | 0 | 3 | 3 | 0 | 0 | 0 | 70 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | -0.05 | |||
| 14 | Jeff Kubiak | Barracuda (SJ ) | C/LW/RW | 37 | 4 | 3 | 7 | 4 | 14 | 0 | 37 | 17 | 2 | 4 | 23.53% | 5 | 14.43 | 1 | 1 | 2 | 0 | 0 | 0 | 32 | 1 | 1 | 45.16% | 0 | 0 | 0.19 | 0 | 0 | 0.15 | |||
| 15 | Calle Rosen | Barracuda (SJ ) | D | 58 | 0 | 6 | 6 | 8 | 4 | 0 | 11 | 17 | 12 | 11 | 0.00% | 21 | 11.94 | 0 | 1 | 1 | 0 | 0 | 0 | 51 | 0 | 0 | 75.00% | 0 | 0 | 0.10 | 0 | 0 | 0.14 | |||
| 16 | Cole Krygier | Barracuda (SJ ) | D | 82 | 0 | 2 | 2 | -2 | 8 | 0 | 12 | 7 | 1 | 6 | 0.00% | 11 | 9.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.00 | |||
| 17 | Maveric Lamoureux | Barracuda (SJ ) | D | 75 | 0 | 1 | 1 | 0 | 40 | 0 | 44 | 15 | 7 | 5 | 0.00% | 28 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 0 | 0.00% | 0 | 0 | 0.01 | 0 | 0 | -0.06 | |||
| 18 | Ryan Dzingel | Barracuda (SJ ) | C/LW/RW | 28 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 2 | 1 | 1 | 0.00% | 0 | 5.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.89% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| 19 | Taylor Fedun | Barracuda (SJ ) | D | 76 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.04 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| 20 | Henry Thrun | Barracuda (SJ ) | D | 13 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 5 | 2 | 2 | 0.00% | 0 | 6.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1401 | 141 | 241 | 382 | 57 | 561 | 135 | 1189 | 1099 | 364 | 617 | 12.83% | 475 | 16.38 | 35 | 56 | 91 | 1164 | 4 | 6 | 10 | 1118 | 33 | 17 | 49.07% | 3069 | 286 | 367 | 4 | 3 | 0.33 | 18 | 55 |
| 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 ) | 53 | 29 | 15 | 9 | 0.903 | 2.02 | 3183 | 4 | 9 | 107 | 1101 | 543 | 1 | 1 | 0.805 | 41 | 53 | 29 | 6 | 3 | 2 |
| 2 | Dan Vladar | Barracuda (SJ ) | 29 | 18 | 6 | 5 | 0.908 | 1.63 | 1772 | 0 | 4 | 48 | 521 | 248 | 2 | 0 | 0.760 | 25 | 29 | 0 | 4 | 3 | 1 |
| 3 | Michael Houser | Barracuda (SJ ) | 1 | 0 | 0 | 0 | 0.813 | 6.92 | 26 | 0 | 0 | 3 | 16 | 11 | 0 | 0 | 0.000 | 0 | 0 | 29 | 0 | 0 | 0 |
| 4 | 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 | 85 | 47 | 21 | 14 | 0.903 | 1.91 | 5023 | 4 | 13 | 160 | 1658 | 812 | 3 | 1 | 0.788 | 66 | 82 | 82 | 10 | 6 | 3 |
| 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 | |||||
| Dan Vladar | G | 27 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
| Dylan McIlrath | D | 33 | 975,000$ | 975,000$ | UFA | ||||||
| Elmer Soderblom | LW | 23 | 975,000$ | 975,000$ | |||||||
| Henry Thrun | D | 24 | 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$ | |||||||
| John Hayden | C | 30 | 975,000$ | 975,000$ | UFA | ||||||
| Jonas Johansson | G | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
| 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$ | UFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gulls | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 6 | 5 | 1 | 6 | 0.750 | 6 | 10 | 16 | 0 | 1 | 18 | 64 | 71 | 29 | 51 | 264 | 474 | 494 | 96 | 62 | 12 | 16 | 65 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 57.1% | 11.8% | 91.9% | 103.7 | LUCKY |
| 2 | Moose | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 12 | 20 | 0 | 1 | 18 | 64 | 71 | 29 | 38 | 264 | 474 | 494 | 96 | 25 | 12 | 17 | 51 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 88.9% | 21.1% | 88.0% | 109.1 | FUN |
| 3 | Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 18 | 64 | 71 | 29 | 30 | 264 | 474 | 494 | 96 | 52 | 14 | 14 | 36 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 25.0% | 10.0% | 88.5% | 98.5 | FUN |
| 4 | Americans | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 2 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 18 | 64 | 71 | 29 | 27 | 264 | 474 | 494 | 96 | 17 | 6 | 6 | 33 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 60.0% | 14.8% | 88.2% | 103.1 | FUN |
| 5 | Heat | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 6 | 10 | -4 | 4 | 0.500 | 6 | 10 | 16 | 0 | 0 | 18 | 64 | 71 | 29 | 41 | 264 | 474 | 494 | 96 | 54 | 14 | 23 | 57 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 1 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 45.5% | 14.6% | 81.5% | 96.1 | FUN |
| 6 | Wolves | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 3 | 6 | 0 | 0 | 18 | 64 | 71 | 29 | 25 | 264 | 474 | 494 | 96 | 51 | 24 | 12 | 31 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 40.0% | 12.0% | 94.1% | 106.1 | LUCKY |
| 7 | IceHogs | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 12 | -9 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 18 | 64 | 71 | 29 | 32 | 264 | 474 | 494 | 96 | 74 | 24 | 16 | 29 | 6 | 2 | 33.33% | 8 | 3 | 62.50% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 10.0% | 9.4% | 83.8% | 93.2 | FUN |
| 8 | Eagles | 4 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 8 | 7 | 1 | 6 | 0.750 | 8 | 11 | 19 | 0 | 0 | 18 | 64 | 71 | 29 | 46 | 264 | 474 | 494 | 96 | 55 | 18 | 24 | 61 | 7 | 3 | 42.86% | 12 | 3 | 75.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 55.6% | 17.4% | 87.3% | 104.7 | FUN |
| 9 | Monsters | 5 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 13 | 13 | 0 | 7 | 0.700 | 13 | 21 | 34 | 0 | 0 | 18 | 64 | 71 | 29 | 101 | 264 | 474 | 494 | 96 | 113 | 24 | 26 | 75 | 9 | 3 | 33.33% | 8 | 2 | 75.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 47.6% | 12.9% | 88.5% | 101.4 | FUN |
| 10 | Stars | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 2 | 4 | 0 | 0 | 18 | 64 | 71 | 29 | 24 | 264 | 474 | 494 | 96 | 41 | 10 | 4 | 32 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 66.7% | 8.3% | 92.7% | 101.0 | DULL |
| 11 | Griffins | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 16 | -6 | 4 | 0.500 | 10 | 17 | 27 | 0 | 0 | 18 | 64 | 71 | 29 | 80 | 264 | 474 | 494 | 96 | 159 | 40 | 44 | 69 | 15 | 3 | 20.00% | 7 | 4 | 42.86% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 36.8% | 12.5% | 89.9% | 102.4 | FUN |
| 12 | Condors | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 8 | 7 | 1 | 5 | 0.625 | 8 | 11 | 19 | 0 | 1 | 18 | 64 | 71 | 29 | 71 | 264 | 474 | 494 | 96 | 63 | 29 | 26 | 67 | 6 | 2 | 33.33% | 8 | 4 | 50.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 66.7% | 11.3% | 88.9% | 100.2 | FUN |
| 13 | Checkers 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 6 | 11 | 0 | 1 | 18 | 64 | 71 | 29 | 28 | 264 | 474 | 494 | 96 | 27 | 6 | 27 | 34 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 80.0% | 17.9% | 92.6% | 110.4 | LUCKY |
| 14 | Reign | 4 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 8 | 3 | 5 | 8 | 1.000 | 8 | 12 | 20 | 0 | 2 | 18 | 64 | 71 | 29 | 59 | 264 | 474 | 494 | 96 | 61 | 18 | 10 | 76 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 75.0% | 13.6% | 95.1% | 108.6 | LUCKY |
| 15 | Wild | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 18 | 64 | 71 | 29 | 28 | 264 | 474 | 494 | 96 | 24 | 6 | 8 | 26 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 60.0% | 10.7% | 87.5% | 98.2 | FUN |
| 16 | Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 18 | 64 | 71 | 29 | 23 | 264 | 474 | 494 | 96 | 32 | 16 | 14 | 26 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 1 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 100.0% | 21.7% | 96.9% | 118.6 | LUCKY |
| 17 | Admirals | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 18 | 64 | 71 | 29 | 27 | 264 | 474 | 494 | 96 | 20 | 8 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 1 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 42.9% | 18.5% | 80.0% | 98.5 | FUN |
| 18 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 18 | 64 | 71 | 29 | 32 | 264 | 474 | 494 | 96 | 32 | 9 | 10 | 24 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 71.4% | 18.8% | 90.6% | 109.4 | FUN |
| 19 | Islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 64 | 71 | 29 | 28 | 264 | 474 | 494 | 96 | 24 | 5 | 15 | 20 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 0.0% | 7.1% | 70.8% | 78.0 | Unlucky |
| 20 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 18 | 64 | 71 | 29 | 46 | 264 | 474 | 494 | 96 | 56 | 20 | 6 | 33 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 20.0% | 4.3% | 92.9% | 97.2 | DULL |
| 21 | Belleville Senators | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 18 | 64 | 71 | 29 | 33 | 264 | 474 | 494 | 96 | 46 | 10 | 16 | 34 | 1 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 100.0% | 9.1% | 97.8% | 106.9 | LUCKY |
| 22 | Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 18 | 64 | 71 | 29 | 42 | 264 | 474 | 494 | 96 | 28 | 18 | 8 | 30 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 100.0% | 11.9% | 96.4% | 108.3 | LUCKY |
| 23 | Roadrunners | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 7 | 6 | 8 | 1.000 | 13 | 20 | 33 | 0 | 0 | 18 | 64 | 71 | 29 | 37 | 264 | 474 | 494 | 96 | 71 | 24 | 26 | 69 | 6 | 3 | 50.00% | 13 | 2 | 84.62% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 66.7% | 35.1% | 90.1% | 125.3 | FUN |
| 24 | Penguins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 18 | 64 | 71 | 29 | 40 | 264 | 474 | 494 | 96 | 83 | 13 | 32 | 27 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 55.6% | 12.5% | 94.0% | 106.5 | LUCKY |
| 25 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 4 | 8 | 0 | 0 | 18 | 64 | 71 | 29 | 38 | 264 | 474 | 494 | 96 | 77 | 30 | 22 | 25 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 36.4% | 10.5% | 89.6% | 100.1 | FUN |
| 26 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 64 | 71 | 29 | 22 | 264 | 474 | 494 | 96 | 38 | 13 | 23 | 32 | 3 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 50.0% | 9.1% | 86.8% | 95.9 | FUN |
| 27 | Marlies | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 18 | 64 | 71 | 29 | 54 | 264 | 474 | 494 | 96 | 76 | 18 | 41 | 36 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 45.5% | 13.0% | 89.5% | 102.4 | FUN |
| 28 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 18 | 64 | 71 | 29 | 39 | 264 | 474 | 494 | 96 | 42 | 20 | 17 | 31 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 66.7% | 17.9% | 85.7% | 103.7 | FUN |
| 29 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | -5 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 18 | 64 | 71 | 29 | 24 | 264 | 474 | 494 | 96 | 33 | 7 | 23 | 37 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 20.0% | 4.2% | 81.8% | 86.0 | Unlucky |
| 30 | Silver Knights | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 0 | 6 | 4 | 1.000 | 6 | 8 | 14 | 0 | 2 | 18 | 64 | 71 | 29 | 37 | 264 | 474 | 494 | 96 | 25 | 4 | 16 | 35 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 100.0% | 16.2% | 100.0% | 116.2 | LUCKY |
| 31 | Checkers 2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 0.750 | 11 | 16 | 27 | 0 | 0 | 18 | 64 | 71 | 29 | 61 | 264 | 474 | 494 | 96 | 98 | 31 | 27 | 69 | 8 | 2 | 25.00% | 11 | 3 | 72.73% | 0 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 69.2% | 18.0% | 92.9% | 110.9 | LUCKY |
| _Vs Conference | 47 | 14 | 10 | 0 | 8 | 4 | 7 | 4 | 101 | 95 | 6 | 66 | 0.702 | 101 | 152 | 253 | 0 | 7 | 18 | 64 | 71 | 29 | 670 | 264 | 474 | 494 | 96 | 909 | 280 | 283 | 752 | 88 | 23 | 26.14% | 104 | 32 | 69.23% | 3 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 55.3% | 15.1% | 89.5% | 104.6 | FUN | |
| _Since Last GM Reset | 82 | 26 | 21 | 0 | 10 | 7 | 11 | 7 | 174 | 168 | 6 | 108 | 0.659 | 174 | 264 | 438 | 1 | 12 | 18 | 64 | 71 | 29 | 1264 | 264 | 474 | 494 | 96 | 1659 | 503 | 573 | 1291 | 168 | 42 | 25.00% | 198 | 52 | 73.74% | 4 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 53.2% | 13.8% | 89.9% | 103.6 | FUN | |
| Total | 82 | 26 | 21 | 0 | 10 | 7 | 11 | 7 | 174 | 168 | 6 | 108 | 0.659 | 174 | 264 | 438 | 1 | 12 | 18 | 64 | 71 | 29 | 1264 | 264 | 474 | 494 | 96 | 1659 | 503 | 573 | 1291 | 168 | 42 | 25.00% | 198 | 52 | 73.74% | 4 | 559 | 1088 | 51.38% | 680 | 1372 | 49.56% | 390 | 795 | 49.06% | 1417 | 521 | 1573 | 913 | 2036 | 1024 | 53.2% | 13.8% | 89.9% | 103.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1088 |
| Neutral Zone Start | 795 |
| Defensive Zone Start | 1372 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1629 |
| Faceoffs Lost | 1626 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.2 | 9.57 |
| 2nd Period | 9.0 | 20.31 |
| 3rd Period | 15.0 | 30.68 |
| Overtime | 16.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 2.2 | 2.83 |
| Even Strenght Goal | 127 |
|---|---|
| PP Goal | 42 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 21 | 26 |
| Lost | 11 | 10 |
| Overtime Lost | 9 | 5 |
| PP Attempt | 168 |
|---|---|
| PP Goal | 42 |
| PK Attempt | 198 |
| PK Goal Against | 52 |
| Home | |
|---|---|
| Shots For | 15.4 |
| Shots Against | 20.2 |
| Goals For | 2.1 |
| Goals Against | 2.0 |
| Hits | 15.7 |
| Shots Blocked | 6.1 |
| Pim | 7.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,057,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,057,500$ | 3,057,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,619,257$ | 0$ | 2,919,259$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 22,234$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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