![]() | Bakersfield Condors 0-0-0, 0pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |||
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$/1yrs | |||
Ville Ottavainen | 0 | D | 100.00 | 68 | 47 | 62 | 64 | 73 | 64 | 62 | 63 | 40 | 59 | 54 | 68 | 60 | 51 | 50 | 1 | 50 | 62 | 23 | 975,000$/1yrs | |||
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$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Ben Kindel (R) | 0 | C | 100.00 | 68 | 40 | 88 | 85 | 75 | 83 | 73 | 81 | 66 | 74 | 76 | 72 | 81 | 54 | 50 | 1 | 50 | 73 | 19 | 975,000$/3yrs | |||
Matthew Wood (R) | 0 | C/RW | 100.00 | 70 | 40 | 90 | 76 | 84 | 81 | 75 | 78 | 62 | 71 | 76 | 68 | 77 | 56 | 50 | 1 | 50 | 71 | 21 | ||||
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 | ||||
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 | ||||
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 | ||||
Mitch McLain | 0 | C/LW/RW | 100.00 | 55 | 56 | 57 | 64 | 63 | 73 | 72 | 65 | 45 | 60 | 60 | 55 | 63 | 65 | 57 | 1 | 50 | 61 | 32 | ||||
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 | ||||
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 | ||||
Jacob Doty | 0 | C/LW/RW | 100.00 | 61 | 53 | 57 | 55 | 71 | 71 | 70 | 56 | 41 | 51 | 52 | 53 | 55 | 68 | 60 | 1 | 50 | 57 | 33 | ||||
Dalton Smith | 0 | LW | 100.00 | 55 | 52 | 58 | 57 | 64 | 70 | 70 | 56 | 41 | 51 | 51 | 53 | 54 | 70 | 60 | 1 | 50 | 56 | 34 | ||||
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 | 32 | ||||
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$/2yrs | |||
Emilio Pettersen | 0 | C | 100.00 | 52 | 41 | 64 | 59 | 55 | 62 | 61 | 57 | 41 | 57 | 52 | 52 | 55 | 53 | 50 | 1 | 50 | 55 | 26 | 975,000$/1yrs | |||
Kale Kessy | 0 | LW | 100.00 | 60 | 48 | 59 | 55 | 71 | 68 | 67 | 54 | 40 | 50 | 50 | 52 | 53 | 68 | 58 | 1 | 50 | 55 | 33 | ||||
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$/1yrs | |||
Cooper Flinton (R) | 0 | LW | 100.00 | 60 | 42 | 60 | 56 | 66 | 59 | 57 | 54 | 41 | 51 | 51 | 53 | 54 | 50 | 50 | 1 | 50 | 54 | 22 | ||||
Cooper Gay (R) | 0 | RW | 100.00 | 62 | 40 | 66 | 54 | 69 | 57 | 55 | 52 | 41 | 51 | 51 | 55 | 52 | 51 | 50 | 1 | 50 | 54 | 24 | ||||
James Stefan | 0 | RW | 100.00 | 57 | 40 | 70 | 64 | 61 | 59 | 57 | 52 | 40 | 50 | 51 | 52 | 55 | 50 | 50 | 1 | 50 | 54 | 22 | 870,000$/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 | ||||
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 | ||||
Mikulas Hovorka | 0 | D | 100.00 | 68 | 43 | 65 | 61 | 73 | 66 | 64 | 61 | 40 | 56 | 54 | 68 | 59 | 52 | 50 | 1 | 50 | 62 | 24 | ||||
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 | ||||
| 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 | 67 | 63 | 66 | 73 | 69 | 70 | 72 | 70 | 71 | 67 | 57 | 53 | 50 | 1 | 50 | 63 | 25 | 975,000$/1yrs |
Yaniv Perets | 0 | 100.00 | 66 | 58 | 56 | 64 | 62 | 60 | 60 | 56 | 61 | 61 | 52 | 53 | 50 | 1 | 50 | 56 | 26 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Carter Hart | 0 | 100.00 | 79 | 76 | 76 | 75 | 77 | 76 | 75 | 75 | 75 | 77 | 70 | 78 | 69 | 1 | 50 | 70 | 27 | |
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$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Darryl Sutter | 71 | 71 | 70 | 69 | 80 | 76 | 1 | CAN | 67 | 1 | 1,000,000$ |
| 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 |
|---|
| 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 |
|---|
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aidan Fulp | D | 26 | 975,000$ | 975,000$ | |||||||
| Andre Lee | LW | 25 | 0$ | ||||||||
| Avery Hayes | C/LW/RW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
| Ben Kindel | C | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Blake Smith | D | 21 | 916,667$ | RFA | |||||||
| 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 | 2,000,000$ | UFA | |||||||
| Cooper Black | G | 25 | 975,000$ | 975,000$ | |||||||
| Cooper Flinton | LW | 22 | 905,000$ | RFA | |||||||
| Cooper Gay | RW | 24 | 910,000$ | ||||||||
| Dalton Smith | LW | 34 | 0$ | UFA | |||||||
| David Gust | C/LW/RW | 32 | 0$ | UFA | |||||||
| Emilio Pettersen | C | 26 | 975,000$ | 975,000$ | |||||||
| Filip Roos | D | 27 | 1,400,000$ | 1,400,000$ | UFA | ||||||
| Hunter McKown | C | 23 | 0$ | RFA | |||||||
| 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$ | |||||||
| Jacob Doty | C/LW/RW | 33 | 0$ | UFA | |||||||
| James Hamblin | LW | 27 | 0$ | UFA | |||||||
| James Stefan | RW | 22 | 870,000$ | 975,000$ | RFA | ||||||
| Jonathan Aspirot | D | 27 | 0$ | UFA | |||||||
| Josh Samanski | C/LW | 24 | 975,000$ | ||||||||
| Kale Kessy | LW | 33 | 0$ | UFA | |||||||
| Mats Lindgren | D | 21 | 0$ | RFA | |||||||
| Matthew Stienburg | C | 25 | 975,000$ | 975,000$ | |||||||
| Matthew Wood | C/RW | 21 | 950,000$ | RFA | |||||||
| Mikulas Hovorka | D | 24 | 0$ | ||||||||
| Mitch McLain | C/LW/RW | 32 | 0$ | UFA | |||||||
| Navrin Mutter | LW | 25 | 2,000,000$ | 2,000,000$ | |||||||
| Nick Wolff | D | 29 | 0$ | UFA | |||||||
| Patrick Giles | C/RW | 26 | 0$ | ||||||||
| Ville Ottavainen | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Yaniv Perets | G | 26 | 975,000$ | 975,000$ | |||||||
| Zack Hayes | D | 27 | 0$ | UFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
| |||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,917,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Bakersfield | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| 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 | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,917,500$ | 1,917,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 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 |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| ||||||||||||||||||||||||||||||||


