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Full Scoreboard »» |
![]() | Bakersfield Condors 1-0-0, 2pts · 1st 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/LW | 100.00 | 75 | 45 | 79 | 68 | 92 | 76 | 69 | 68 | 46 | 62 | 64 | 67 | 67 | 59 | 50 | 1 | 50 | 66 | 25 | 975,000$/1yrs | |||
Josh Samanski (R) | 0 | C/LW | 100.00 | 66 | 40 | 77 | 70 | 76 | 77 | 61 | 63 | 69 | 58 | 59 | 64 | 64 | 53 | 50 | 1 | 50 | 63 | 24 | 2,000,000$/4yrs | |||
James Hamblin (A) | 0 | LW | 100.00 | 60 | 42 | 71 | 72 | 60 | 69 | 67 | 65 | 64 | 61 | 63 | 64 | 67 | 55 | 50 | 1 | 50 | 63 | 27 | 2,000,000$/3yrs | |||
Andre Lee | 0 | LW | 100.00 | 68 | 44 | 68 | 69 | 75 | 70 | 63 | 65 | 43 | 61 | 62 | 65 | 65 | 52 | 50 | 1 | 50 | 63 | 25 | 2,000,000$/4yrs | |||
Avery Hayes | 0 | C/LW/RW | 100.00 | 60 | 44 | 65 | 71 | 59 | 64 | 62 | 64 | 43 | 59 | 61 | 61 | 65 | 51 | 50 | 1 | 50 | 61 | 23 | 2,000,000$/3yrs | |||
Matthew Stienburg | 0 | C | 100.00 | 62 | 48 | 66 | 66 | 68 | 66 | 60 | 58 | 41 | 54 | 54 | 57 | 59 | 52 | 50 | 1 | 50 | 58 | 25 | 975,000$/1yrs | |||
Patrick Giles | 0 | C/RW | 100.00 | 63 | 42 | 71 | 58 | 71 | 67 | 65 | 61 | 42 | 56 | 55 | 55 | 58 | 54 | 50 | 1 | 50 | 58 | 26 | 2,000,000$/4yrs | |||
Hunter McKown (C) | 0 | C | 100.00 | 59 | 43 | 68 | 65 | 64 | 64 | 62 | 63 | 60 | 60 | 55 | 53 | 61 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/2yrs | |||
Cameron Butler | 0 | RW | 100.00 | 64 | 45 | 64 | 58 | 70 | 62 | 59 | 55 | 41 | 51 | 51 | 53 | 54 | 52 | 50 | 1 | 50 | 55 | 24 | 975,000$/2yrs | |||
James Stefan | 0 | RW | 100.00 | 57 | 40 | 70 | 64 | 61 | 59 | 57 | 52 | 40 | 50 | 51 | 52 | 55 | 50 | 50 | 1 | 50 | 54 | 22 | 870,000$/1yrs | |||
Jonathan Aspirot | 0 | D | 100.00 | 68 | 59 | 67 | 71 | 75 | 79 | 70 | 70 | 40 | 67 | 62 | 75 | 67 | 55 | 50 | 1 | 50 | 68 | 27 | 2,000,000$/3yrs | |||
Jack St. Ivany | 0 | D | 100.00 | 66 | 42 | 73 | 73 | 82 | 83 | 64 | 66 | 40 | 64 | 60 | 71 | 66 | 59 | 50 | 1 | 50 | 68 | 26 | 2,000,000$/1yrs | |||
Blake Smith (R) | 0 | D | 100.00 | 66 | 59 | 60 | 63 | 71 | 62 | 61 | 61 | 40 | 60 | 60 | 66 | 60 | 50 | 50 | 1 | 50 | 62 | 21 | 1,000,000$/4yrs | |||
Ville Ottavainen | 0 | D | 100.00 | 68 | 47 | 62 | 64 | 73 | 64 | 62 | 63 | 40 | 59 | 54 | 68 | 60 | 51 | 50 | 1 | 50 | 62 | 23 | 975,000$/1yrs | |||
Mikulas Hovorka (A) | 0 | D | 100.00 | 68 | 43 | 65 | 61 | 73 | 66 | 64 | 61 | 40 | 56 | 54 | 68 | 59 | 52 | 50 | 1 | 50 | 62 | 24 | 2,000,000$/4yrs | |||
Brandon Scanlin | 0 | D | 100.00 | 62 | 44 | 65 | 62 | 70 | 68 | 66 | 62 | 40 | 53 | 56 | 62 | 60 | 55 | 50 | 1 | 50 | 60 | 27 | 2,000,000$/1yrs | |||
Aidan Fulp | 0 | D | 100.00 | 62 | 40 | 72 | 62 | 69 | 65 | 62 | 56 | 40 | 51 | 50 | 62 | 56 | 54 | 50 | 1 | 50 | 59 | 26 | 975,000$/1yrs | |||
Filip Roos | 0 | D | 100.00 | 54 | 41 | 61 | 59 | 58 | 62 | 60 | 56 | 40 | 55 | 50 | 59 | 54 | 54 | 50 | 1 | 50 | 56 | 27 | 1,400,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Emilio Pettersen | 0 | C | 100.00 | 52 | 41 | 64 | 59 | 55 | 62 | 61 | 57 | 41 | 57 | 52 | 52 | 55 | 53 | 50 | 1 | 50 | 55 | 26 | 975,000$/1yrs | |||
Navrin Mutter | 0 | LW | 100.00 | 61 | 56 | 55 | 58 | 68 | 64 | 61 | 55 | 41 | 51 | 51 | 52 | 55 | 53 | 50 | 1 | 50 | 55 | 25 | 2,000,000$/1yrs | |||
Cooper Flinton (R) | 0 | LW | 100.00 | 60 | 42 | 60 | 56 | 66 | 59 | 57 | 54 | 41 | 51 | 51 | 53 | 54 | 50 | 50 | 1 | 50 | 54 | 22 | 1,000,000$/4yrs | |||
Cooper Gay (R) | 0 | RW | 100.00 | 62 | 40 | 66 | 54 | 69 | 57 | 55 | 52 | 41 | 51 | 51 | 55 | 52 | 51 | 50 | 1 | 50 | 54 | 24 | 2,000,000$/2yrs | |||
Zack Hayes | 0 | D | 100.00 | 61 | 43 | 67 | 57 | 71 | 65 | 63 | 56 | 40 | 51 | 52 | 58 | 55 | 54 | 50 | 1 | 50 | 58 | 27 | ||||
Nick Wolff | 0 | D | 100.00 | 57 | 45 | 53 | 54 | 63 | 59 | 58 | 53 | 40 | 51 | 50 | 55 | 52 | 55 | 50 | 1 | 50 | 55 | 29 | ||||
Mats Lindgren | 0 | D | 100.00 | 54 | 40 | 58 | 58 | 56 | 51 | 50 | 51 | 40 | 50 | 50 | 54 | 52 | 50 | 50 | 1 | 50 | 53 | 21 | 1,000,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Carter Hart | 0 | 98.00 | 79 | 76 | 76 | 75 | 77 | 76 | 75 | 75 | 75 | 77 | 70 | 78 | 69 | 1 | 50 | 70 | 27 | 4,000,000$/3yrs |
Cooper Black | 0 | 100.00 | 67 | 63 | 66 | 73 | 69 | 70 | 72 | 70 | 71 | 67 | 57 | 53 | 50 | 1 | 50 | 63 | 25 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Hunter Shepard | 0 | 100.00 | 70 | 68 | 70 | 66 | 68 | 67 | 69 | 66 | 68 | 69 | 67 | 63 | 56 | 1 | 50 | 62 | 30 | 2,000,000$/1yrs |
Isak Posch | 0 | 100.00 | 63 | 60 | 62 | 70 | 64 | 63 | 65 | 62 | 64 | 63 | 56 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/3yrs |
Yaniv Perets | 0 | 100.00 | 66 | 58 | 56 | 64 | 62 | 60 | 60 | 56 | 61 | 61 | 52 | 53 | 50 | 1 | 50 | 56 | 26 | 975,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ryan Warsofsky | 82 | 74 | 80 | 79 | 60 | 55 | 1 | USA | 38 | 4 | 500,000$ |
| 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 | Adam Edstrom | Condors (EDM) | C/LW | 1 | 2 | 3 | 5 | 2 | 0 | 0 | 0 | 7 | 2 | 2 | 28.57% | 1 | 27.78 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 35.90% | 0 | 0 | 5.00 | 0 | 0 | 4.69 | |||
| 2 | Josh Samanski | Condors (EDM) | C/LW | 1 | 2 | 1 | 3 | 4 | 5 | 5 | 2 | 3 | 0 | 0 | 66.67% | 1 | 18.97 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 50.00% | 0 | 0 | 3.00 | 0 | 0 | 2.98 | |||
| 3 | Jonathan Aspirot | Condors (EDM) | D | 1 | 0 | 3 | 3 | 2 | 19 | 5 | 0 | 2 | 1 | 0 | 0.00% | 1 | 24.38 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 3.00 | 0 | 0 | -0.45 | |||
| 4 | James Hamblin | Condors (EDM) | LW | 1 | 1 | 2 | 3 | 3 | 0 | 0 | 0 | 3 | 1 | 1 | 33.33% | 0 | 19.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 3.00 | 0 | 0 | 3.30 | |||
| 5 | Andre Lee | Condors (EDM) | LW | 1 | 1 | 2 | 3 | 0 | 7 | 5 | 1 | 5 | 1 | 0 | 20.00% | 1 | 24.13 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 3.00 | 0 | 0 | 1.30 | |||
| 6 | Avery Hayes | Condors (EDM) | C/LW/RW | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 3 | 5 | 0 | 2 | 40.00% | 1 | 18.18 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 66.67% | 0 | 0 | 2.00 | 0 | 0 | 2.39 | |||
| 7 | Ville Ottavainen | Condors (EDM) | D | 1 | 1 | 1 | 2 | 2 | 5 | 5 | 1 | 3 | 1 | 0 | 33.33% | 0 | 18.35 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 2.00 | 0 | 0 | 1.48 | |||
| 8 | Hunter McKown | Condors (EDM) | C | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 3 | 2 | 1 | 2 | 50.00% | 1 | 12.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 2.00 | 0 | 0 | 2.45 | |||
| 9 | Jack St. Ivany | Condors (EDM) | D | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 | 2 | 0 | 1 | 50.00% | 4 | 28.37 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 2.00 | 0 | 0 | 2.50 | |||
| 10 | Blake Smith | Condors (EDM) | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 9.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.98 | |||
| 11 | Aidan Fulp | Condors (EDM) | D | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.68 | |||
| 12 | Cameron Butler | Condors (EDM) | RW | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 1 | 13.27 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.83 | |||
| 13 | Matthew Stienburg | Condors (EDM) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 11.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| 14 | James Stefan | Condors (EDM) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0.00% | 0 | 10.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.08 | |||
| 15 | Mikulas Hovorka | Condors (EDM) | D | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 19.03 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.88 | |||
| 16 | Brandon Scanlin | Condors (EDM) | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 8.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.45 | |||
| 17 | Patrick Giles | Condors (EDM) | C/RW | 1 | 0 | 0 | 0 | 3 | 5 | 5 | 2 | 0 | 0 | 0 | 0.00% | 0 | 17.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.15 | |||
| 18 | Filip Roos | Condors (EDM) | D | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 18 | 11 | 15 | 26 | 30 | 43 | 25 | 17 | 34 | 7 | 11 | 32.35% | 15 | 16.32 | 3 | 5 | 8 | 35 | 0 | 0 | 0 | 24 | 1 | 0 | 41.89% | 74 | 9 | 10 | 0 | 0 | 1.77 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Carter Hart | Condors (EDM) | 1 | 1 | 0 | 0 | 0.925 | 3.00 | 60 | 0 | 0 | 3 | 40 | 24 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| Team Total or Average | 1 | 1 | 0 | 0 | 0.925 | 3.00 | 60 | 0 | 0 | 3 | 40 | 24 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Edstrom | C/LW | 25 | 975,000$ | 975,000$ | |||||||
| Aidan Fulp | D | 26 | 975,000$ | 975,000$ | |||||||
| Andre Lee | LW | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Avery Hayes | C/LW/RW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
| Blake Smith | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
| Brandon Scanlin | D | 27 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Cameron Butler | RW | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Carter Hart | G | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
| Cooper Black | G | 25 | 975,000$ | 975,000$ | |||||||
| Cooper Flinton | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
| Cooper Gay | RW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
| Emilio Pettersen | C | 26 | 975,000$ | 975,000$ | |||||||
| Filip Roos | D | 27 | 1,400,000$ | 1,400,000$ | UFA | ||||||
| Hunter McKown | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Hunter Shepard | G | 30 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Isak Posch | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Jack St. Ivany | D | 26 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| James Hamblin | LW | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
| James Stefan | RW | 22 | 870,000$ | 975,000$ | RFA | ||||||
| Jonathan Aspirot | D | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
| Josh Samanski | C/LW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Mats Lindgren | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Matthew Stienburg | C | 25 | 975,000$ | 975,000$ | |||||||
| Mikulas Hovorka | D | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Navrin Mutter | LW | 25 | 2,000,000$ | 2,000,000$ | |||||||
| Nick Wolff | D | 29 | 0$ | UFA | |||||||
| Patrick Giles | C/RW | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Ville Ottavainen | D | 23 | 975,000$ | 975,000$ | |||||||
| Yaniv Perets | G | 26 | 975,000$ | 975,000$ | |||||||
| Zack Hayes | D | 27 | 0$ | 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 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 2 | 1.000 | 11 | 15 | 26 | 0 | 0 | 2 | 6 | 3 | 0 | 34 | 5 | 13 | 16 | 0 | 40 | 15 | 43 | 17 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 9 | 21 | 42.86% | 13 | 30 | 43.33% | 9 | 23 | 39.13% | 20 | 10 | 20 | 9 | 18 | 10 | 80.0% | 32.4% | 92.5% | 124.9 | LUCKY |
| _Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 2 | 1.000 | 11 | 15 | 26 | 0 | 0 | 2 | 6 | 3 | 0 | 34 | 5 | 13 | 16 | 0 | 40 | 15 | 43 | 17 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 9 | 21 | 42.86% | 13 | 30 | 43.33% | 9 | 23 | 39.13% | 20 | 10 | 20 | 9 | 18 | 10 | 80.0% | 32.4% | 92.5% | 124.9 | LUCKY | |
| _Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 2 | 1.000 | 11 | 15 | 26 | 0 | 0 | 2 | 6 | 3 | 0 | 34 | 5 | 13 | 16 | 0 | 40 | 15 | 43 | 17 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 9 | 21 | 42.86% | 13 | 30 | 43.33% | 9 | 23 | 39.13% | 20 | 10 | 20 | 9 | 18 | 10 | 80.0% | 32.4% | 92.5% | 124.9 | LUCKY | |
| Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 2 | 1.000 | 11 | 15 | 26 | 0 | 0 | 2 | 6 | 3 | 0 | 34 | 5 | 13 | 16 | 0 | 40 | 15 | 43 | 17 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 9 | 21 | 42.86% | 13 | 30 | 43.33% | 9 | 23 | 39.13% | 20 | 10 | 20 | 9 | 18 | 10 | 80.0% | 32.4% | 92.5% | 124.9 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 18 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 21 |
| Neutral Zone Start | 23 |
| Defensive Zone Start | 30 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 31 |
| Faceoffs Lost | 43 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 5.0 | 9.57 |
| 2nd Period | 18.0 | 20.31 |
| 3rd Period | 34.0 | 30.68 |
| Overtime | 34.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 2.0 | 0.64 |
| 2nd Period | 8.0 | 1.65 |
| 3rd Period | 11.0 | 2.67 |
| Overtime | 11.0 | 2.83 |
| Even Strenght Goal | 8 |
|---|---|
| PP Goal | 3 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 1 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 5 |
|---|---|
| PP Goal | 3 |
| PK Attempt | 4 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 34.0 |
| Shots Against | 40.0 |
| Goals For | 11.0 |
| Goals Against | 3.0 |
| Hits | 17.0 |
| Shots Blocked | 15.0 |
| Pim | 43.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Oct 11 | EDM | @ | S J | EDM11,S J3 | RECAP | |||||||||
| Tue, Oct 13 | PHO | @ | EDM | |||||||||||
| Thu, Oct 15 | BUF | @ | EDM | |||||||||||
| Fri, Oct 16 | EDM | @ | LOS | |||||||||||
| Sun, Oct 18 | LOS | @ | EDM | |||||||||||
| Wed, Oct 21 | EDM | @ | COL | |||||||||||
| Thu, Oct 22 | ANA | @ | EDM | |||||||||||
| Sat, Oct 24 | EDM | @ | ANA | |||||||||||
| Mon, Oct 26 | PHO | @ | EDM | |||||||||||
| Wed, Oct 28 | EDM | @ | PHO | |||||||||||
| Fri, Oct 30 | EDM | @ | PHO | |||||||||||
| Sun, Nov 1 | ANA | @ | EDM | |||||||||||
| Tue, Nov 3 | BOS | @ | EDM | |||||||||||
| Thu, Nov 5 | EDM | @ | TOR | |||||||||||
| Sat, Nov 7 | EDM | @ | ANA | |||||||||||
| Mon, Nov 9 | LOS | @ | EDM | |||||||||||
| Wed, Nov 11 | PHI | @ | EDM | |||||||||||
| Sat, Nov 14 | EDM | @ | CHI | |||||||||||
| Sun, Nov 15 | WPG | @ | EDM | |||||||||||
| Tue, Nov 17 | EDM | @ | VAN | |||||||||||
| Thu, Nov 19 | BUF | @ | EDM | |||||||||||
| Sat, Nov 21 | EDM | @ | PHI | |||||||||||
| Mon, Nov 23 | EDM | @ | NYI | |||||||||||
| Wed, Nov 25 | CAL | @ | EDM | |||||||||||
| Fri, Nov 27 | EDM | @ | S J | |||||||||||
| Sun, Nov 29 | EDM | @ | NJD | |||||||||||
| Mon, Nov 30 | CHI | @ | EDM | |||||||||||
| Wed, Dec 2 | WAS | @ | EDM | |||||||||||
| Sat, Dec 5 | EDM | @ | DAL | |||||||||||
| Sun, Dec 6 | EDM | @ | NYR | |||||||||||
| Tue, Dec 8 | OTT | @ | EDM | |||||||||||
| Thu, Dec 10 | EDM | @ | S J | |||||||||||
| Sat, Dec 12 | DET | @ | EDM | |||||||||||
| Mon, Dec 14 | EDM | @ | DET | |||||||||||
| Tue, Dec 15 | BOS | @ | EDM | |||||||||||
| Thu, Dec 17 | NAS | @ | EDM | |||||||||||
| Sun, Dec 20 | EDM | @ | BUF | |||||||||||
| Mon, Dec 21 | CAR | @ | EDM | |||||||||||
| Wed, Dec 23 | EDM | @ | LOS | |||||||||||
| Fri, Dec 25 | NYR | @ | EDM | |||||||||||
| Sun, Dec 27 | CLB | @ | EDM | |||||||||||
| Tue, Dec 29 | EDM | @ | STL | |||||||||||
| Wed, Dec 30 | EDM | @ | FLO | |||||||||||
| Fri, Jan 1 | SEA | @ | EDM | |||||||||||
| Sun, Jan 3 | EDM | @ | OTT | |||||||||||
| Tue, Jan 5 | NYI | @ | EDM | |||||||||||
| Wed, Jan 6 | VAN | @ | EDM | |||||||||||
| Fri, Jan 8 | EDM | @ | BOS | |||||||||||
| Sun, Jan 10 | EDM | @ | WPG | |||||||||||
| Mon, Jan 11 | EDM | @ | COL | |||||||||||
| Tue, Jan 12 | CAL | @ | EDM | |||||||||||
| Thu, Jan 14 | EDM | @ | WAS | |||||||||||
| Sat, Jan 16 | FLO | @ | EDM | |||||||||||
| Mon, Jan 18 | EDM | @ | CAL | |||||||||||
| Tue, Jan 19 | CHI | @ | EDM | |||||||||||
| Fri, Jan 22 | EDM | @ | SEA | |||||||||||
| Sat, Jan 23 | STL | @ | EDM | |||||||||||
| Mon, Jan 25 | EDM | @ | NAS | |||||||||||
| Tue, Jan 26 | TAM | @ | EDM | |||||||||||
| Thu, Jan 28 | EDM | @ | SEA | |||||||||||
| Sat, Jan 30 | DAL | @ | EDM | |||||||||||
| Mon, Feb 1 | EDM | @ | DAL | |||||||||||
| Tue, Feb 2 | SEA | @ | EDM | |||||||||||
| Thu, Feb 4 | EDM | @ | TAM | |||||||||||
| Sat, Feb 6 | PIT | @ | EDM | |||||||||||
| Mon, Feb 8 | PHO | @ | EDM | |||||||||||
| Tue, Feb 9 | EDM | @ | CAR | |||||||||||
| Sat, Feb 13 | MTL | @ | EDM | |||||||||||
| Mon, Feb 15 | EDM | @ | CAL | |||||||||||
| Wed, Feb 17 | TOR | @ | EDM | |||||||||||
| Fri, Feb 19 | MIN | @ | EDM | |||||||||||
| Sat, Feb 20 | EDM | @ | MIN | |||||||||||
| Tue, Feb 23 | COL | @ | EDM | |||||||||||
| Thu, Feb 25 | EDM | @ | MTL | |||||||||||
| Fri, Feb 26 | EDM | @ | CHI | |||||||||||
| Sat, Feb 27 | EDM | @ | CAR | |||||||||||
| Mon, Mar 1 | NJD | @ | EDM | |||||||||||
| Thu, Mar 4 | EDM | @ | PIT | |||||||||||
| Fri, Mar 5 | TOR | @ | EDM | |||||||||||
| Tue, Mar 9 | COL | @ | EDM | |||||||||||
| Thu, Mar 11 | EDM | @ | PIT | |||||||||||
| Sun, Mar 14 | S J | @ | EDM | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Mar 18 | S J | @ | EDM | |||||||||||
| Fri, Mar 19 | EDM | @ | CLB | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,317,500$ | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| 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 |
| 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,317,500$ | 4,317,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 59,476$ | 0$ | 53,302$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 183 | 29,738$ | 4,758,080$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,758,080$ | 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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