![]() | Bakersfield Condors 37-35-10, 84pts · 11th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | 0 | C/RW | 100.00 | 73 | 49 | 73 | 66 | 86 | 72 | 68 | 66 | 41 | 60 | 62 | 64 | 65 | 55 | 50 | 1 | 50 | 64 | 24 | 975,000$/2yrs | |||
James Hamblin (A) | 0 | C/LW | 100.00 | 61 | 41 | 75 | 73 | 62 | 69 | 66 | 65 | 66 | 63 | 60 | 66 | 66 | 57 | 50 | 1 | 50 | 63 | 26 | 1,000,000$/1yrs | |||
Andre Lee | 0 | LW | 100.00 | 69 | 44 | 72 | 68 | 79 | 71 | 60 | 64 | 41 | 58 | 59 | 62 | 64 | 51 | 50 | 1 | 50 | 62 | 24 | 1,000,000$/1yrs | |||
Matthew Stienburg | 0 | C | 100.00 | 63 | 56 | 65 | 70 | 71 | 69 | 61 | 63 | 41 | 58 | 58 | 61 | 63 | 51 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs | |||
Mitch McLain | 0 | C/LW/RW | 100.00 | 57 | 53 | 59 | 63 | 64 | 72 | 71 | 63 | 49 | 58 | 58 | 57 | 61 | 65 | 55 | 1 | 50 | 60 | 31 | 2,000,000$/1yrs | |||
Avery Hayes | 0 | RW | 100.00 | 59 | 44 | 66 | 69 | 59 | 62 | 60 | 62 | 42 | 58 | 59 | 59 | 63 | 50 | 50 | 1 | 50 | 59 | 22 | 2,000,000$/4yrs | |||
Hunter McKown (C) | 0 | C | 100.00 | 60 | 42 | 69 | 66 | 66 | 65 | 61 | 63 | 60 | 61 | 56 | 56 | 62 | 51 | 50 | 1 | 50 | 59 | 22 | 975,000$/1yrs | |||
Patrick Giles | 0 | RW | 100.00 | 66 | 44 | 66 | 60 | 71 | 66 | 64 | 59 | 42 | 53 | 55 | 60 | 58 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/1yrs | |||
Jacob Doty | 0 | C/LW/RW | 100.00 | 62 | 49 | 59 | 56 | 71 | 71 | 70 | 57 | 41 | 52 | 52 | 56 | 56 | 65 | 55 | 1 | 50 | 57 | 32 | 2,000,000$/1yrs | |||
Dalton Smith | 0 | C/LW/RW | 100.00 | 58 | 50 | 59 | 58 | 66 | 69 | 68 | 56 | 40 | 51 | 51 | 57 | 55 | 68 | 58 | 1 | 50 | 57 | 33 | 2,000,000$/1yrs | |||
David Gust | 0 | C/LW/RW | 100.00 | 51 | 41 | 59 | 59 | 53 | 63 | 62 | 57 | 42 | 56 | 54 | 53 | 57 | 65 | 54 | 1 | 50 | 56 | 31 | 2,000,000$/1yrs | |||
Jack St. Ivany | 0 | D | 100.00 | 65 | 44 | 70 | 70 | 77 | 77 | 63 | 64 | 40 | 59 | 58 | 69 | 64 | 56 | 50 | 1 | 50 | 65 | 25 | 2,000,000$/2yrs | |||
Ville Ottavainen | 0 | D | 100.00 | 68 | 43 | 67 | 63 | 71 | 64 | 62 | 64 | 40 | 59 | 56 | 67 | 61 | 50 | 50 | 1 | 50 | 62 | 22 | 975,000$/2yrs | |||
Brandon Scanlin | 0 | D | 100.00 | 63 | 44 | 68 | 63 | 70 | 67 | 66 | 63 | 40 | 53 | 59 | 62 | 62 | 54 | 50 | 1 | 50 | 61 | 26 | 2,000,000$/2yrs | |||
Filip Roos | 0 | D | 100.00 | 59 | 43 | 68 | 65 | 64 | 67 | 65 | 61 | 40 | 60 | 51 | 64 | 59 | 54 | 50 | 1 | 50 | 61 | 26 | 1,400,000$/2yrs | |||
Mikulas Hovorka (R) | 0 | D | 100.00 | 64 | 42 | 64 | 60 | 68 | 63 | 62 | 60 | 40 | 55 | 55 | 64 | 58 | 51 | 50 | 1 | 50 | 60 | 24 | 950,000$/1yrs | |||
Aidan Fulp | 0 | D | 100.00 | 59 | 41 | 71 | 59 | 68 | 64 | 62 | 57 | 40 | 53 | 52 | 58 | 56 | 52 | 50 | 1 | 50 | 58 | 25 | 975,000$/2yrs | |||
Zack Hayes | 0 | D | 100.00 | 60 | 43 | 58 | 57 | 65 | 61 | 60 | 55 | 40 | 51 | 52 | 61 | 55 | 52 | 50 | 1 | 50 | 57 | 26 | 975,000$/1yrs | |||
Mats Lindgren (R) | 0 | D | 100.00 | 59 | 40 | 62 | 62 | 61 | 55 | 53 | 54 | 40 | 53 | 53 | 59 | 57 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Emilio Pettersen | 0 | C | 100.00 | 56 | 42 | 69 | 66 | 60 | 67 | 66 | 63 | 43 | 63 | 55 | 56 | 61 | 53 | 50 | 1 | 50 | 59 | 25 | 975,000$/2yrs | |||
Cameron Butler (R) | 0 | RW | 100.00 | 63 | 48 | 59 | 59 | 69 | 62 | 60 | 56 | 40 | 52 | 52 | 53 | 56 | 51 | 50 | 1 | 50 | 55 | 23 | 975,000$/3yrs | |||
Kale Kessy | 0 | LW | 100.00 | 60 | 51 | 58 | 55 | 71 | 68 | 67 | 53 | 40 | 51 | 50 | 52 | 53 | 65 | 55 | 1 | 50 | 55 | 32 | 2,000,000$/1yrs | |||
James Stefan (R) | 0 | RW | 100.00 | 55 | 40 | 68 | 62 | 59 | 61 | 59 | 57 | 40 | 53 | 54 | 53 | 57 | 50 | 50 | 1 | 50 | 55 | 21 | 870,000$/2yrs | |||
Navrin Mutter | 0 | LW | 100.00 | 62 | 54 | 56 | 59 | 67 | 63 | 60 | 56 | 40 | 51 | 51 | 53 | 55 | 52 | 50 | 1 | 50 | 55 | 24 | 2,000,000$/2yrs | |||
Jonathan Aspirot | 0 | D | 100.00 | 60 | 47 | 62 | 66 | 64 | 67 | 65 | 64 | 40 | 63 | 56 | 67 | 62 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/1yrs | |||
Harrison Brunicke (R) | 0 | D | 100.00 | 61 | 41 | 65 | 62 | 62 | 55 | 53 | 55 | 40 | 54 | 53 | 59 | 57 | 50 | 50 | 1 | 50 | 57 | 19 | 875,000$/2yrs | |||
Nick Wolff | 0 | D | 100.00 | 57 | 45 | 53 | 54 | 63 | 59 | 58 | 53 | 40 | 51 | 50 | 55 | 52 | 55 | 50 | 1 | 50 | 55 | 28 | 1,000,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cooper Black | 0 | 100.00 | 66 | 59 | 57 | 69 | 64 | 64 | 66 | 65 | 65 | 62 | 54 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/2yrs |
Yaniv Perets | 0 | 100.00 | 67 | 59 | 58 | 66 | 63 | 60 | 59 | 56 | 62 | 62 | 56 | 52 | 50 | 1 | 50 | 56 | 25 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Isak Posch | 0 | 100.00 | 59 | 57 | 57 | 66 | 59 | 57 | 56 | 54 | 57 | 58 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | 1,000,000$/4yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Darryl Sutter | 71 | 71 | 70 | 69 | 80 | 76 | 1 | CAN | 66 | 2 | 1,000,000$ |
| 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 | James Hamblin | Condors (EDM) | C/LW | 82 | 40 | 33 | 73 | -17 | 20 | 10 | 113 | 255 | 76 | 155 | 15.69% | 25 | 22.10 | 9 | 6 | 15 | 0 | 2 | 2 | 155 | 7 | 2 | 52.62% | 1 | 1 | 0.89 | 2 | 13 | 0.83 | |||
| 2 | Mitch McLain | Condors (EDM) | C/LW/RW | 82 | 19 | 40 | 59 | -18 | 89 | 25 | 132 | 187 | 67 | 89 | 10.16% | 28 | 19.05 | 4 | 10 | 14 | 0 | 0 | 0 | 3 | 4 | 4 | 50.63% | 1 | 1 | 0.72 | 1 | 4 | 0.47 | |||
| 3 | Matthew Stienburg | Condors (EDM) | C | 82 | 21 | 23 | 44 | -5 | 41 | 25 | 115 | 153 | 38 | 72 | 13.73% | 13 | 16.86 | 3 | 8 | 11 | 5 | 1 | 6 | 100 | 2 | 1 | 44.21% | 0 | 0 | 0.54 | 2 | 5 | 0.44 | |||
| 4 | Andre Lee | Condors (EDM) | LW | 75 | 13 | 31 | 44 | 2 | 20 | 10 | 105 | 136 | 55 | 109 | 9.56% | 33 | 18.51 | 4 | 9 | 13 | 1 | 2 | 3 | 81 | 3 | 5 | 42.47% | 0 | 0 | 0.59 | 2 | 11 | 0.58 | |||
| 5 | Avery Hayes | Condors (EDM) | RW | 82 | 20 | 21 | 41 | -13 | 50 | 10 | 109 | 180 | 63 | 99 | 11.11% | 28 | 19.33 | 4 | 7 | 11 | 0 | 0 | 0 | 0 | 4 | 3 | 50.00% | 0 | 0 | 0.50 | 4 | 7 | 0.42 | |||
| 6 | Jacob Doty | Condors (EDM) | C/LW/RW | 65 | 10 | 14 | 24 | -2 | 54 | 10 | 120 | 55 | 24 | 45 | 18.18% | 16 | 17.98 | 0 | 0 | 0 | 0 | 2 | 2 | 28 | 0 | 0 | 37.25% | 0 | 0 | 0.37 | 0 | 0 | 0.22 | |||
| 7 | Hunter McKown | Condors (EDM) | C | 82 | 10 | 13 | 23 | -3 | 10 | 0 | 77 | 102 | 31 | 61 | 9.80% | 19 | 14.64 | 0 | 1 | 1 | 0 | 0 | 0 | 62 | 3 | 0 | 53.19% | 0 | 0 | 0.28 | 1 | 1 | 0.29 | |||
| 8 | Jack St. Ivany | Condors (EDM) | D | 82 | 4 | 19 | 23 | -15 | 122 | 60 | 102 | 123 | 42 | 54 | 3.25% | 99 | 24.42 | 2 | 8 | 10 | 0 | 0 | 0 | 159 | 0 | 1 | 0.00% | 0 | 0 | 0.28 | 0 | 3 | 0.06 | |||
| 9 | Emilio Pettersen | Condors (EDM) | C | 58 | 9 | 11 | 20 | -6 | 42 | 10 | 69 | 86 | 29 | 62 | 10.47% | 20 | 14.24 | 2 | 0 | 2 | 1 | 0 | 1 | 49 | 2 | 2 | 44.48% | 0 | 0 | 0.34 | 1 | 1 | 0.25 | |||
| 10 | Patrick Giles | Condors (EDM) | RW | 82 | 11 | 7 | 18 | 1 | 21 | 5 | 96 | 96 | 26 | 52 | 11.46% | 30 | 15.02 | 0 | 0 | 0 | 1 | 1 | 2 | 51 | 0 | 2 | 44.44% | 0 | 0 | 0.22 | 0 | 1 | 0.25 | |||
| 11 | Filip Roos | Condors (EDM) | D | 72 | 3 | 15 | 18 | -7 | 44 | 20 | 40 | 49 | 24 | 19 | 6.12% | 56 | 18.38 | 3 | 4 | 7 | 0 | 1 | 1 | 111 | 0 | 1 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.12 | |||
| 12 | Jonathan Aspirot | Condors (EDM) | D | 57 | 1 | 15 | 16 | -10 | 38 | 10 | 40 | 56 | 15 | 34 | 1.79% | 50 | 17.46 | 0 | 7 | 7 | 0 | 2 | 2 | 78 | 0 | 0 | 0.00% | 1 | 0 | 0.28 | 1 | 2 | 0.14 | |||
| 13 | Ville Ottavainen | Condors (EDM) | D | 82 | 0 | 15 | 15 | -9 | 41 | 25 | 57 | 52 | 26 | 23 | 0.00% | 50 | 18.39 | 0 | 0 | 0 | 0 | 2 | 2 | 116 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.08 | |||
| 14 | Dalton Smith | Condors (EDM) | C/LW/RW | 39 | 2 | 7 | 9 | -8 | 15 | 5 | 35 | 22 | 10 | 21 | 9.09% | 5 | 14.37 | 1 | 4 | 5 | 0 | 0 | 0 | 8 | 0 | 0 | 41.18% | 0 | 0 | 0.23 | 0 | 0 | 0.09 | |||
| 15 | Brandon Scanlin | Condors (EDM) | D | 82 | 3 | 6 | 9 | -15 | 19 | 5 | 39 | 20 | 14 | 8 | 15.00% | 33 | 14.05 | 3 | 1 | 4 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 1 | 0.01 | |||
| 16 | Adam Edstrom | Condors (EDM) | C/RW | 29 | 3 | 5 | 8 | 1 | 15 | 5 | 26 | 26 | 7 | 14 | 11.54% | 1 | 13.12 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 1 | 0 | 52.38% | 1 | 0 | 0.28 | 1 | 1 | 0.20 | |||
| 17 | David Gust | Condors (EDM) | C/LW/RW | 23 | 4 | 3 | 7 | -1 | 6 | 0 | 23 | 35 | 8 | 16 | 11.43% | 2 | 13.97 | 3 | 0 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 45.00% | 0 | 0 | 0.30 | 0 | 0 | 0.29 | |||
| 18 | Aidan Fulp | Condors (EDM) | D | 82 | 0 | 4 | 4 | 13 | 0 | 0 | 18 | 6 | 4 | 7 | 0.00% | 12 | 10.13 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.10 | |||
| 19 | Mats Lindgren | Condors (EDM) | D | 34 | 0 | 3 | 3 | -2 | 15 | 5 | 15 | 19 | 8 | 6 | 0.00% | 18 | 17.12 | 0 | 0 | 0 | 0 | 1 | 1 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.03 | |||
| 20 | Mikulas Hovorka | Condors (EDM) | D | 82 | 1 | 2 | 3 | -17 | 21 | 5 | 29 | 30 | 6 | 7 | 3.33% | 25 | 13.35 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 1 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | -0.06 | |||
| 21 | Zack Hayes | Condors (EDM) | D | 65 | 0 | 1 | 1 | 7 | 8 | 0 | 22 | 3 | 0 | 2 | 0.00% | 6 | 7.58 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.04 | |||
| 22 | Harrison Brunicke | Condors (EDM) | D | 8 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 2.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
| 23 | Navrin Mutter | Condors (EDM) | LW | 7 | 0 | 0 | 0 | -2 | 7 | 5 | 11 | 7 | 1 | 2 | 0.00% | 0 | 18.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.00 | 0 | 0 | -0.18 | |||
| Team Total or Average | 1434 | 174 | 288 | 462 | -125 | 698 | 250 | 1394 | 1698 | 574 | 957 | 10.25% | 569 | 16.42 | 38 | 66 | 104 | 1261 | 8 | 14 | 22 | 1149 | 29 | 21 | 49.37% | 3646 | 419 | 425 | 4 | 2 | 0.39 | 15 | 50 |
| 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 | Cooper Black | Condors (EDM) | 61 | 30 | 24 | 7 | 0.879 | 2.59 | 3504 | 0 | 8 | 151 | 1244 | 688 | 7 | 3 | 0.688 | 48 | 61 | 21 | 3 | 2 | 1 |
| 2 | Yaniv Perets | Condors (EDM) | 19 | 4 | 8 | 1 | 0.861 | 3.13 | 919 | 0 | 1 | 48 | 345 | 187 | 2 | 0 | 0.000 | 0 | 13 | 34 | 0 | 1 | 0 |
| 3 | Isak Posch | Condors (EDM) | 12 | 3 | 3 | 2 | 0.858 | 2.91 | 557 | 0 | 0 | 27 | 190 | 100 | 0 | 1 | 1.000 | 3 | 8 | 27 | 0 | 0 | 0 |
| Team Total or Average | 92 | 37 | 35 | 10 | 0.873 | 2.72 | 4982 | 0 | 9 | 226 | 1779 | 975 | 9 | 4 | 0.706 | 51 | 82 | 82 | 3 | 3 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Edstrom | C/RW | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Aidan Fulp | D | 25 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Andre Lee | LW | 24 | 1,000,000$ | 1,000,000$ | |||||||
| Avery Hayes | RW | 22 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
| Brandon Scanlin | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
| Cameron Butler | RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Cooper Black | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Dalton Smith | C/LW/RW | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| David Gust | C/LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Emilio Pettersen | C | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Filip Roos | D | 26 | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||||
| Harrison Brunicke | D | 19 | 875,000$ | 975,000$ | 975,000$ | RFA | |||||
| Hunter McKown | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Isak Posch | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Jack St. Ivany | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
| Jacob Doty | C/LW/RW | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| James Hamblin | C/LW | 26 | 1,000,000$ | 1,000,000$ | |||||||
| James Stefan | RW | 21 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jonathan Aspirot | D | 26 | 1,500,000$ | 1,500,000$ | |||||||
| Kale Kessy | LW | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Mats Lindgren | D | 20 | 975,000$ | 975,000$ | RFA | ||||||
| Matthew Stienburg | C | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Mikulas Hovorka | D | 24 | 950,000$ | 975,000$ | |||||||
| Mitch McLain | C/LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Navrin Mutter | LW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
| Nick Wolff | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Patrick Giles | RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Ville Ottavainen | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Yaniv Perets | G | 25 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Zack Hayes | D | 26 | 975,000$ | 975,000$ |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gulls | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 4 | 0.500 | 5 | 7 | 12 | 1 | 1 | 28 | 69 | 85 | 20 | 67 | 442 | 657 | 731 | 66 | 47 | 12 | 19 | 59 | 5 | 1 | 20.00% | 7 | 3 | 57.14% | 1 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 57.1% | 7.5% | 87.2% | 94.7 | Unlucky |
| 2 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 28 | 69 | 85 | 20 | 37 | 442 | 657 | 731 | 66 | 43 | 16 | 20 | 35 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 37.5% | 8.1% | 83.7% | 91.8 | Unlucky |
| 3 | Bruins | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 28 | 69 | 85 | 20 | 53 | 442 | 657 | 731 | 66 | 65 | 31 | 20 | 30 | 2 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 50.0% | 11.3% | 86.2% | 97.5 | FUN |
| 4 | Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 28 | 69 | 85 | 20 | 48 | 442 | 657 | 731 | 66 | 47 | 16 | 29 | 32 | 1 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 20.0% | 4.2% | 74.5% | 78.6 | Unlucky |
| 5 | Heat | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 10 | 7 | 6 | 0.750 | 17 | 25 | 42 | 0 | 1 | 28 | 69 | 85 | 20 | 101 | 442 | 657 | 731 | 66 | 68 | 22 | 61 | 67 | 9 | 2 | 22.22% | 9 | 3 | 66.67% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 68.2% | 16.8% | 85.3% | 102.1 | FUN |
| 6 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 28 | 69 | 85 | 20 | 61 | 442 | 657 | 731 | 66 | 57 | 17 | 21 | 27 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 1 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 50.0% | 8.2% | 87.7% | 95.9 | Unlucky |
| 7 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 28 | 69 | 85 | 20 | 31 | 442 | 657 | 731 | 66 | 49 | 19 | 29 | 46 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 15.4% | 12.9% | 77.6% | 90.5 | FUN |
| 8 | Eagles | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 10 | 0 | 5 | 0.625 | 10 | 19 | 29 | 0 | 1 | 28 | 69 | 85 | 20 | 86 | 442 | 657 | 731 | 66 | 72 | 20 | 27 | 66 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 1 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 50.0% | 11.6% | 86.1% | 97.7 | FUN |
| 9 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 28 | 69 | 85 | 20 | 29 | 442 | 657 | 731 | 66 | 26 | 10 | 32 | 32 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 28.6% | 6.9% | 69.2% | 76.1 | Unlucky |
| 10 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 28 | 69 | 85 | 20 | 25 | 442 | 657 | 731 | 66 | 22 | 10 | 4 | 30 | 6 | 4 | 66.67% | 2 | 0 | 100.00% | 1 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 80.0% | 32.0% | 95.5% | 127.5 | LUCKY |
| 11 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 28 | 69 | 85 | 20 | 53 | 442 | 657 | 731 | 66 | 69 | 24 | 17 | 44 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 16.7% | 1.9% | 91.3% | 93.2 | DULL |
| 12 | Checkers 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 28 | 69 | 85 | 20 | 63 | 442 | 657 | 731 | 66 | 60 | 17 | 31 | 51 | 9 | 2 | 22.22% | 13 | 3 | 76.92% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 37.5% | 7.9% | 86.7% | 94.6 | Unlucky |
| 13 | Reign | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 18 | 28 | 1 | 0 | 28 | 69 | 85 | 20 | 90 | 442 | 657 | 731 | 66 | 83 | 34 | 32 | 63 | 6 | 2 | 33.33% | 17 | 5 | 70.59% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 57.1% | 11.1% | 86.7% | 97.9 | FUN |
| 14 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 28 | 69 | 85 | 20 | 35 | 442 | 657 | 731 | 66 | 12 | 8 | 10 | 44 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 100.0% | 14.3% | 91.7% | 106.0 | LUCKY |
| 15 | Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 28 | 69 | 85 | 20 | 32 | 442 | 657 | 731 | 66 | 23 | 12 | 4 | 40 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 100.0% | 9.4% | 95.7% | 105.0 | LUCKY |
| 16 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 28 | 69 | 85 | 20 | 49 | 442 | 657 | 731 | 66 | 23 | 6 | 17 | 43 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 50.0% | 6.1% | 82.6% | 88.7 | Unlucky |
| 17 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 8 | 14 | 0 | 1 | 28 | 69 | 85 | 20 | 49 | 442 | 657 | 731 | 66 | 30 | 9 | 6 | 26 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 62.5% | 12.2% | 90.0% | 102.2 | FUN |
| 18 | Islanders | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 6 | 10 | -4 | 2 | 0.333 | 6 | 9 | 15 | 1 | 0 | 28 | 69 | 85 | 20 | 66 | 442 | 657 | 731 | 66 | 65 | 16 | 12 | 53 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 41.7% | 9.1% | 84.6% | 93.7 | FUN |
| 19 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 28 | 69 | 85 | 20 | 45 | 442 | 657 | 731 | 66 | 81 | 17 | 34 | 39 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 30.0% | 6.7% | 91.4% | 98.0 | DULL |
| 20 | Belleville Senators | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 28 | 69 | 85 | 20 | 62 | 442 | 657 | 731 | 66 | 52 | 13 | 14 | 36 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 1 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 60.0% | 16.1% | 88.5% | 104.6 | FUN |
| 21 | Phantoms | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 28 | 69 | 85 | 20 | 53 | 442 | 657 | 731 | 66 | 39 | 9 | 17 | 36 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 1 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 62.5% | 13.2% | 87.2% | 100.4 | FUN |
| 22 | Roadrunners | 4 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 7 | 14 | -7 | 3 | 0.375 | 7 | 11 | 18 | 0 | 0 | 28 | 69 | 85 | 20 | 85 | 442 | 657 | 731 | 66 | 93 | 34 | 17 | 74 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 33.3% | 8.2% | 84.9% | 93.2 | Unlucky |
| 23 | Penguins | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 28 | 69 | 85 | 20 | 46 | 442 | 657 | 731 | 66 | 56 | 18 | 0 | 32 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 80.0% | 8.7% | 98.2% | 106.9 | DULL |
| 24 | Barracuda | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 7 | 8 | -1 | 5 | 0.625 | 7 | 9 | 16 | 0 | 0 | 28 | 69 | 85 | 20 | 63 | 442 | 657 | 731 | 66 | 71 | 20 | 22 | 74 | 8 | 4 | 50.00% | 6 | 2 | 66.67% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 33.3% | 11.1% | 88.7% | 99.8 | FUN |
| 25 | Thunderbirds | 6 | 1 | 3 | 0 | 1 | 0 | 0 | 1 | 20 | 28 | -8 | 5 | 0.417 | 20 | 32 | 52 | 0 | 0 | 28 | 69 | 85 | 20 | 192 | 442 | 657 | 731 | 66 | 216 | 74 | 103 | 117 | 12 | 3 | 25.00% | 19 | 5 | 73.68% | 2 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 42.5% | 10.4% | 87.0% | 97.5 | FUN |
| 26 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 28 | 69 | 85 | 20 | 49 | 442 | 657 | 731 | 66 | 43 | 15 | 12 | 39 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 44.4% | 8.2% | 83.7% | 91.9 | Unlucky |
| 27 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 28 | 69 | 85 | 20 | 58 | 442 | 657 | 731 | 66 | 62 | 16 | 12 | 27 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 44.4% | 10.3% | 90.3% | 100.7 | FUN |
| 28 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 28 | 69 | 85 | 20 | 68 | 442 | 657 | 731 | 66 | 74 | 27 | 39 | 39 | 6 | 4 | 66.67% | 7 | 2 | 71.43% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 27.3% | 10.3% | 86.5% | 96.8 | FUN |
| 29 | Hershey Bears | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 28 | 69 | 85 | 20 | 23 | 442 | 657 | 731 | 66 | 21 | 8 | 9 | 43 | 8 | 1 | 12.50% | 2 | 2 | 0.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 66.7% | 13.0% | 85.7% | 98.8 | FUN |
| 30 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 28 | 69 | 85 | 20 | 34 | 442 | 657 | 731 | 66 | 34 | 5 | 4 | 37 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 80.0% | 11.8% | 97.1% | 108.8 | LUCKY |
| 31 | Checkers 2 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 10 | 15 | -5 | 5 | 0.625 | 10 | 16 | 26 | 0 | 0 | 28 | 69 | 85 | 20 | 91 | 442 | 657 | 731 | 66 | 80 | 29 | 39 | 78 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 36.4% | 11.0% | 81.3% | 92.2 | FUN |
| _Vs Conference | 48 | 16 | 20 | 0 | 3 | 2 | 4 | 3 | 114 | 133 | -19 | 51 | 0.531 | 114 | 184 | 298 | 2 | 6 | 28 | 69 | 85 | 20 | 1039 | 442 | 657 | 731 | 66 | 982 | 333 | 421 | 877 | 86 | 25 | 29.07% | 111 | 29 | 73.87% | 5 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 46.1% | 11.0% | 86.5% | 97.4 | FUN | |
| _Since Last GM Reset | 82 | 26 | 35 | 0 | 5 | 4 | 6 | 6 | 193 | 236 | -43 | 84 | 0.512 | 193 | 307 | 500 | 4 | 9 | 28 | 69 | 85 | 20 | 1844 | 442 | 657 | 731 | 66 | 1783 | 584 | 713 | 1459 | 169 | 41 | 24.26% | 198 | 58 | 70.71% | 8 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 46.1% | 10.5% | 86.8% | 97.2 | FUN | |
| Total | 82 | 26 | 35 | 0 | 5 | 4 | 6 | 6 | 193 | 236 | -43 | 84 | 0.512 | 193 | 307 | 500 | 4 | 9 | 28 | 69 | 85 | 20 | 1844 | 442 | 657 | 731 | 66 | 1783 | 584 | 713 | 1459 | 169 | 41 | 24.26% | 198 | 58 | 70.71% | 8 | 695 | 1425 | 48.77% | 639 | 1315 | 48.59% | 535 | 1018 | 52.55% | 1521 | 658 | 1546 | 876 | 1919 | 948 | 46.1% | 10.5% | 86.8% | 97.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 18 |
| Neutral Zone | 23 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1425 |
| Neutral Zone Start | 1018 |
| Defensive Zone Start | 1315 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1869 |
| Faceoffs Lost | 1889 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 5.4 | 9.57 |
| 2nd Period | 13.4 | 20.31 |
| 3rd Period | 22.3 | 30.68 |
| Overtime | 23.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 1.2 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 140 |
|---|---|
| PP Goal | 41 |
| PK Goal | 8 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 17 | 20 |
| Lost | 20 | 15 |
| Overtime Lost | 4 | 6 |
| PP Attempt | 169 |
|---|---|
| PP Goal | 41 |
| PK Attempt | 198 |
| PK Goal Against | 58 |
| Home | |
|---|---|
| Shots For | 22.5 |
| Shots Against | 21.7 |
| Goals For | 2.4 |
| Goals Against | 2.9 |
| Hits | 17.8 |
| Shots Blocked | 7.1 |
| Pim | 8.7 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,955,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Bakersfield | |
| 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 |
| 3,955,000$ | 3,955,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 5,031,784$ | 0$ | 4,031,737$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 29,320$ | 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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