Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Noah Cates | 49 | LW | 100.00 | 72 | 34 | 83 | 65 | 71 | 82 | 75 | 66 | 56 | 67 | 69 | 63 | 68 | 62 | 64 | 0 | 50 | 70 | 24 | 1,066,667$/3yrs | |||
Morgan Geekie | 67 | C | 100.00 | 61 | 36 | 92 | 65 | 82 | 79 | 84 | 67 | 83 | 66 | 61 | 58 | 65 | 66 | 64 | 0 | 50 | 69 | 24 | 1,694,500$/2yrs | |||
Thomas Novak | 82 | C | 100.00 | 62 | 37 | 88 | 67 | 73 | 84 | 87 | 64 | 79 | 67 | 63 | 61 | 62 | 65 | 67 | 0 | 50 | 69 | 26 | 825,000$/3yrs | |||
Andrew Oglevie | 2 | C | 100.00 | 59 | 43 | 82 | 66 | 68 | 74 | 79 | 64 | 73 | 61 | 63 | 56 | 65 | 71 | 67 | 0 | 50 | 67 | 28 | 750,000$/1yrs | |||
Raphael Lavoie | 63 | C/RW | 100.00 | 77 | 34 | 87 | 56 | 86 | 92 | 83 | 57 | 61 | 58 | 59 | 60 | 56 | 62 | 64 | 0 | 50 | 67 | 22 | 925,000$/2yrs | |||
Samuel Poulin (R) | 22 | LW | 100.00 | 70 | 34 | 77 | 61 | 79 | 85 | 91 | 57 | 63 | 59 | 60 | 61 | 59 | 61 | 63 | 0 | 50 | 67 | 22 | 863,333$/3yrs | |||
Tyler Benson | 17 | LW | 100.00 | 71 | 38 | 82 | 62 | 73 | 77 | 78 | 63 | 67 | 61 | 57 | 59 | 62 | 64 | 66 | 0 | 50 | 66 | 25 | 843,750$/2yrs | |||
Cole Schwindt | 3 | C | 100.00 | 67 | 38 | 85 | 58 | 77 | 82 | 80 | 56 | 76 | 58 | 59 | 61 | 56 | 61 | 63 | 0 | 50 | 66 | 22 | 910,833$/3yrs | |||
Tyler Steenbergen | 20 | LW | 100.00 | 61 | 35 | 91 | 61 | 70 | 84 | 89 | 59 | 57 | 58 | 60 | 56 | 57 | 65 | 63 | 0 | 50 | 65 | 25 | 750,000$/1yrs | |||
Marc McLaughlin | 11 | C | 100.00 | 67 | 36 | 89 | 61 | 74 | 78 | 70 | 57 | 63 | 58 | 63 | 53 | 61 | 64 | 65 | 0 | 50 | 65 | 23 | 912,500$/2yrs | |||
Juuso Valimaki | 4 | D | 100.00 | 68 | 36 | 82 | 67 | 83 | 85 | 76 | 66 | 30 | 70 | 59 | 73 | 52 | 64 | 66 | 0 | 50 | 72 | 24 | 1,844,333$/3yrs | |||
Sean Durzi | 50 | D | 100.00 | 64 | 34 | 75 | 71 | 73 | 87 | 90 | 66 | 30 | 72 | 61 | 70 | 52 | 64 | 66 | 0 | 50 | 72 | 24 | 1,518,750$/3yrs | |||
Nicolas Beaudin | 92 | D | 100.00 | 59 | 38 | 91 | 69 | 66 | 79 | 86 | 66 | 30 | 67 | 65 | 62 | 55 | 63 | 65 | 0 | 50 | 69 | 23 | 1,105,000$/2yrs | |||
Egor Zamula | 10 | D | 100.00 | 67 | 38 | 91 | 61 | 79 | 83 | 85 | 61 | 30 | 60 | 58 | 66 | 49 | 62 | 64 | 0 | 50 | 68 | 23 | 1,043,334$/2yrs | |||
Matt Kiersted | 12 | D | 100.00 | 65 | 39 | 88 | 63 | 71 | 82 | 89 | 62 | 30 | 61 | 59 | 65 | 50 | 65 | 66 | 0 | 50 | 68 | 25 | 1,008,333$/3yrs | |||
Nick Perbix (R) | 48 | D | 100.00 | 69 | 38 | 81 | 63 | 79 | 78 | 65 | 62 | 30 | 66 | 57 | 61 | 50 | 64 | 66 | 0 | 50 | 67 | 24 | 1,025,000$/4yrs | |||
Darien Kielb | 24 | D | 100.00 | 71 | 43 | 67 | 59 | 80 | 78 | 60 | 57 | 30 | 62 | 56 | 58 | 45 | 63 | 65 | 0 | 50 | 65 | 24 | 1,250,000$/1yrs | |||
Frederic Allard | 72 | D | 100.00 | 62 | 38 | 92 | 59 | 73 | 83 | 76 | 56 | 30 | 57 | 56 | 60 | 47 | 65 | 67 | 0 | 50 | 65 | 25 | 750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Riley Sutter | 68 | C | 100.00 | 79 | 41 | 86 | 55 | 88 | 66 | 72 | 54 | 63 | 56 | 52 | 60 | 53 | 63 | 65 | 0 | 50 | 64 | 23 | 871,667$/2yrs | |||
Stelio Mattheos | 25 | RW | 100.00 | 68 | 40 | 76 | 56 | 77 | 75 | 87 | 52 | 57 | 54 | 53 | 58 | 56 | 63 | 65 | 0 | 50 | 63 | 23 | 994,500$/2yrs | |||
Max Willman | 38 | LW | 100.00 | 62 | 38 | 83 | 56 | 71 | 68 | 73 | 57 | 70 | 58 | 59 | 56 | 58 | 71 | 66 | 0 | 50 | 63 | 28 | 1,067,500$/2yrs | |||
Keean Washkurak | 32 | C | 100.00 | 58 | 39 | 82 | 57 | 67 | 75 | 80 | 56 | 63 | 55 | 58 | 53 | 54 | 61 | 63 | 0 | 50 | 62 | 21 | 875,000$/3yrs | |||
Mathias Laferriere | 36 | RW | 100.00 | 69 | 37 | 91 | 51 | 78 | 69 | 84 | 52 | 56 | 53 | 54 | 55 | 53 | 62 | 64 | 0 | 50 | 62 | 22 | 800,000$/2yrs | |||
Tristen Nielsen | 42 | C | 100.00 | 60 | 37 | 87 | 58 | 69 | 77 | 69 | 56 | 61 | 53 | 57 | 52 | 56 | 62 | 64 | 0 | 50 | 62 | 23 | 750,000$/1yrs | |||
Nick Henry | 40 | RW | 100.00 | 61 | 38 | 83 | 53 | 70 | 75 | 62 | 54 | 55 | 53 | 55 | 52 | 55 | 63 | 65 | 0 | 50 | 60 | 23 | 826,666$/1yrs | |||
Brady Lyle | 21 | D | 100.00 | 69 | 39 | 87 | 55 | 78 | 69 | 86 | 58 | 30 | 57 | 56 | 55 | 48 | 63 | 65 | 0 | 50 | 64 | 24 | 1,000,000$/2yrs | |||
Cole Hults | 23 | D | 100.00 | 63 | 38 | 84 | 58 | 72 | 69 | 81 | 57 | 30 | 56 | 55 | 54 | 50 | 64 | 66 | 0 | 50 | 63 | 25 | 1,050,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Craig Anderson | 41 | 100.00 | 82 | 70 | 72 | 77 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 93 | 95 | 0 | 50 | 83 | 42 | 2,100,000$/2yrs |
Oscar Dansk | 35 | 100.00 | 74 | 83 | 82 | 84 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 73 | 77 | 0 | 50 | 77 | 29 | 922,000$/2yrs |
Scratches | ||||||||||||||||||||
Connor Ingram | 1 | 100.00 | 75 | 77 | 78 | 80 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 66 | 73 | 0 | 50 | 76 | 26 | 750,000$/2yrs |
Hunter Jones | 33 | 100.00 | 67 | 69 | 70 | 85 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 62 | 67 | 0 | 50 | 70 | 22 | 925,000$/2yrs |
Zachary Emond | 43 | 100.00 | 61 | 68 | 67 | 76 | 60 | 59 | 61 | 60 | 59 | 61 | 60 | 62 | 67 | 0 | 50 | 65 | 22 | 800,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dale Hunter | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 63 | 4 | 0$ |
General Manager |
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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 |
# | 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 |
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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 |
# | 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 |
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Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Oglevie | C | 28 | 750,000$ | 700,000$ | UFA | ||||||
Brady Lyle | D | 24 | 1,000,000$ | 1,200,000$ | 800,000$ | RFA | |||||
Cole Hults | D | 25 | 1,050,000$ | 1,050,000$ | RFA | ||||||
Cole Schwindt | C | 22 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | RFA | ||||
Connor Ingram | G | 26 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Craig Anderson | G | 42 | 2,100,000$ | 2,200,000$ | 2,000,000$ | UFA | |||||
Darien Kielb | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Egor Zamula | D | 23 | 1,043,334$ | 1,300,000$ | 786,667$ | RFA | |||||
Frederic Allard | D | 25 | 750,000$ | 738,000$ | 750,000$ | UFA | |||||
Hunter Jones | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Juuso Valimaki | D | 24 | 1,844,333$ | 2,983,000$ | 1,550,000$ | 1,000,000$ | UFA | ||||
Keean Washkurak | C | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Marc McLaughlin | C | 23 | 912,500$ | 900,000$ | 925,000$ | RFA | |||||
Mathias Laferriere | RW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Matt Kiersted | D | 25 | 1,008,333$ | 1,500,000$ | 762,500$ | 762,500$ | UFA | ||||
Max Willman | LW | 28 | 1,067,500$ | 1,385,000$ | 750,000$ | UFA | |||||
Morgan Geekie | C | 24 | 1,694,500$ | 1,989,000$ | 1,400,000$ | RFA | |||||
Nick Henry | RW | 23 | 826,666$ | 826,666$ | RFA | ||||||
Nick Perbix | D | 24 | 1,025,000$ | 925,000$ | 925,000$ | 1,125,000$ | 1,125,000$ | UFA | |||
Nicolas Beaudin | D | 23 | 1,105,000$ | 1,105,000$ | 1,105,000$ | RFA | |||||
Noah Cates | LW | 24 | 1,066,667$ | 925,000$ | 1,137,500$ | 1,137,500$ | UFA | ||||
Oscar Dansk | G | 29 | 922,000$ | 1,094,000$ | 750,000$ | UFA | |||||
Raphael Lavoie | C/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Riley Sutter | C | 23 | 871,667$ | 871,667$ | 871,667$ | RFA | |||||
Samuel Poulin | LW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Sean Durzi | D | 24 | 1,518,750$ | 1,156,250$ | 1,700,000$ | 1,700,000$ | UFA | ||||
Stelio Mattheos | RW | 23 | 994,500$ | 1,239,000$ | 750,000$ | RFA | |||||
Thomas Novak | C | 26 | 825,000$ | 925,000$ | 750,000$ | 800,000$ | UFA | ||||
Tristen Nielsen | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Tyler Benson | LW | 25 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Tyler Steenbergen | LW | 25 | 750,000$ | 700,000$ | RFA | ||||||
Zachary Emond | G | 22 | 800,000$ | 800,000$ | 800,000$ | RFA |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 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 | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,544,925$ | 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 | 32$ | 12$ | $ | $ | $ |
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 |
3,544,925$ | 3,281,866$ | 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 |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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