Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Agozzino | 26 | LW | 100.00 | 79 | 38 | 88 | 65 | 70 | 88 | 87 | 66 | 73 | 68 | 61 | 67 | 63 | 71 | 73 | 0 | 50 | 72 | 32 | 850,000$/3yrs | |||
Buddy Robinson | 53 | RW | 100.00 | 87 | 76 | 82 | 61 | 99 | 76 | 85 | 60 | 59 | 61 | 58 | 63 | 59 | 71 | 73 | 0 | 50 | 71 | 31 | 862,500$/2yrs | |||
Alexander True | 11 | C | 100.00 | 77 | 36 | 82 | 64 | 89 | 80 | 87 | 63 | 70 | 62 | 59 | 65 | 63 | 65 | 67 | 0 | 50 | 70 | 25 | 966,000$/2yrs | |||
Karson Kuhlman (A) | 20 | C | 100.00 | 74 | 34 | 86 | 67 | 68 | 79 | 77 | 65 | 71 | 63 | 64 | 65 | 62 | 67 | 68 | 0 | 50 | 69 | 27 | 2,012,500$/2yrs | |||
Alex Steeves | 94 | C | 100.00 | 59 | 38 | 82 | 65 | 69 | 88 | 83 | 67 | 65 | 66 | 62 | 64 | 65 | 64 | 67 | 0 | 50 | 69 | 23 | 956,111$/3yrs | |||
Liam Foudy (C) | 91 | C/RW | 100.00 | 60 | 38 | 87 | 69 | 78 | 86 | 70 | 67 | 77 | 64 | 59 | 67 | 71 | 63 | 64 | 0 | 50 | 69 | 23 | 931,389$/3yrs | |||
Austin Wagner | 51 | LW | 100.00 | 70 | 36 | 82 | 67 | 76 | 75 | 81 | 62 | 57 | 61 | 64 | 63 | 62 | 65 | 67 | 0 | 50 | 69 | 25 | 2,175,666$/2yrs | |||
Angus Crookshank | 9 | LW | 100.00 | 65 | 37 | 88 | 67 | 69 | 74 | 79 | 65 | 73 | 67 | 61 | 59 | 55 | 63 | 64 | 0 | 50 | 68 | 23 | 838,333$/3yrs | |||
Anthony Louis | 8 | LW | 100.00 | 58 | 35 | 91 | 65 | 61 | 92 | 93 | 62 | 60 | 65 | 63 | 56 | 66 | 67 | 69 | 0 | 50 | 68 | 28 | 881,000$/1yrs | |||
Danny O'Regan | 65 | C | 100.00 | 58 | 35 | 94 | 65 | 68 | 78 | 82 | 62 | 73 | 64 | 61 | 63 | 65 | 69 | 70 | 0 | 50 | 67 | 29 | 766,000$/2yrs | |||
Evan Polei | 64 | LW | 100.00 | 80 | 72 | 59 | 55 | 89 | 78 | 83 | 54 | 55 | 57 | 58 | 60 | 57 | 66 | 68 | 0 | 50 | 67 | 27 | 1,065,000$/1yrs | |||
Luke Philp | 39 | RW | 100.00 | 59 | 37 | 91 | 63 | 69 | 77 | 81 | 62 | 58 | 61 | 60 | 59 | 63 | 67 | 69 | 0 | 50 | 66 | 27 | 850,000$/2yrs | |||
Steven Santini | 63 | D | 100.00 | 86 | 38 | 94 | 62 | 82 | 81 | 87 | 56 | 30 | 66 | 52 | 61 | 50 | 67 | 69 | 0 | 50 | 69 | 28 | 750,000$/2yrs | |||
Kyle Burroughs | 88 | D | 100.00 | 90 | 47 | 72 | 61 | 73 | 84 | 75 | 59 | 30 | 67 | 54 | 68 | 49 | 66 | 67 | 0 | 50 | 69 | 27 | 973,500$/2yrs | |||
Xavier Ouellet | 61 | D | 100.00 | 84 | 39 | 87 | 61 | 74 | 83 | 81 | 62 | 30 | 61 | 55 | 64 | 50 | 69 | 74 | 0 | 50 | 69 | 29 | 841,667$/3yrs | |||
William Borgen | 6 | D | 100.00 | 83 | 39 | 87 | 58 | 84 | 87 | 80 | 57 | 30 | 58 | 54 | 64 | 47 | 69 | 65 | 0 | 50 | 68 | 26 | 912,500$/2yrs | |||
Dakota Mermis (A) | 57 | D | 100.00 | 82 | 41 | 87 | 62 | 73 | 84 | 83 | 59 | 30 | 60 | 58 | 62 | 51 | 68 | 70 | 0 | 50 | 68 | 29 | 843,750$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Mikhail Abramov | 95 | C | 100.00 | 57 | 36 | 91 | 65 | 69 | 78 | 94 | 62 | 69 | 61 | 57 | 55 | 66 | 61 | 63 | 0 | 50 | 66 | 22 | 809,444$/3yrs | |||
Greg Meireles | 81 | RW | 100.00 | 57 | 37 | 88 | 61 | 66 | 77 | 79 | 63 | 66 | 64 | 55 | 58 | 62 | 63 | 65 | 0 | 50 | 65 | 24 | 750,000$/1yrs | |||
Lauri Pajuniemi | 49 | RW | 100.00 | 65 | 37 | 83 | 58 | 74 | 85 | 79 | 57 | 62 | 58 | 60 | 57 | 59 | 63 | 65 | 0 | 50 | 65 | 23 | 925,000$/2yrs | |||
Matthew Wedman | 58 | LW | 100.00 | 76 | 41 | 81 | 55 | 85 | 71 | 95 | 54 | 53 | 52 | 57 | 58 | 56 | 63 | 65 | 0 | 50 | 65 | 24 | 750,000$/1yrs | |||
Kale Howarth | 47 | LW | 100.00 | 71 | 43 | 72 | 55 | 90 | 69 | 63 | 54 | 52 | 53 | 57 | 59 | 56 | 65 | 67 | 0 | 50 | 64 | 25 | 750,000$/1yrs | |||
Jordan Oesterle | 82 | D | 100.00 | 59 | 34 | 88 | 67 | 71 | 89 | 83 | 65 | 30 | 72 | 56 | 69 | 53 | 71 | 73 | 0 | 50 | 71 | 30 | 1,375,000$/2yrs | |||
Maxime Lajoie | 42 | D | 100.00 | 66 | 37 | 93 | 62 | 77 | 79 | 83 | 61 | 30 | 62 | 58 | 60 | 49 | 65 | 67 | 0 | 50 | 67 | 25 | 762,500$/2yrs | |||
Maxence Guenette | 50 | D | 100.00 | 65 | 37 | 86 | 57 | 74 | 66 | 76 | 56 | 30 | 58 | 56 | 57 | 47 | 61 | 63 | 0 | 50 | 63 | 22 | 813,333$/3yrs | |||
Dmitry Semykin (R) | 83 | D | 100.00 | 78 | 38 | 91 | 52 | 87 | 63 | 62 | 54 | 30 | 52 | 51 | 56 | 45 | 62 | 64 | 0 | 50 | 62 | 23 | 756,666$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jonas Johansson | 33 | 100.00 | 75 | 82 | 78 | 93 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 66 | 77 | 0 | 50 | 78 | 27 | 1,434,000$/1yrs |
Scratches | ||||||||||||||||||||
Joey Daccord | 35 | 100.00 | 74 | 82 | 79 | 80 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 66 | 75 | 0 | 50 | 76 | 26 | 837,500$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 81 | 85 | 83 | 81 | 82 | 77 | 66 | CAN | 55 | 5 | 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 |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Steeves | C | 23 | 956,111$ | 1,200,000$ | 834,167$ | 834,167$ | RFA | ||||
Alexander True | C | 25 | 966,000$ | 1,182,000$ | 750,000$ | UFA | |||||
Andrew Agozzino | LW | 32 | 850,000$ | 1,000,000$ | 775,000$ | 775,000$ | UFA | ||||
Angus Crookshank | LW | 23 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | ||||
Anthony Louis | LW | 28 | 881,000$ | 881,000$ | UFA | ||||||
Austin Wagner | LW | 25 | 2,175,666$ | 3,218,000$ | 1,133,333$ | UFA | |||||
Buddy Robinson | RW | 31 | 862,500$ | 975,000$ | 750,000$ | UFA | |||||
Dakota Mermis | D | 29 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Danny O'Regan | C | 29 | 766,000$ | 782,000$ | 750,000$ | UFA | |||||
Dmitry Semykin | D | 23 | 756,666$ | 700,000$ | 813,333$ | RFA | |||||
Evan Polei | LW | 27 | 1,065,000$ | 1,065,000$ | UFA | ||||||
Greg Meireles | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Joey Daccord | G | 26 | 837,500$ | 925,000$ | 750,000$ | UFA | |||||
Jonas Johansson | G | 27 | 1,434,000$ | 1,434,000$ | UFA | ||||||
Jordan Oesterle | D | 30 | 1,375,000$ | 1,400,000$ | 1,350,000$ | UFA | |||||
Kale Howarth | LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Karson Kuhlman | C | 27 | 2,012,500$ | 3,200,000$ | 825,000$ | UFA | |||||
Kyle Burroughs | D | 27 | 973,500$ | 1,197,000$ | 750,000$ | UFA | |||||
Lauri Pajuniemi | RW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Liam Foudy | C/RW | 23 | 931,389$ | 1,269,167$ | 762,500$ | 762,500$ | RFA | ||||
Luke Philp | RW | 27 | 850,000$ | 950,000$ | 750,000$ | UFA | |||||
Matthew Wedman | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Maxence Guenette | D | 22 | 813,333$ | 813,333$ | 813,333$ | 813,333$ | RFA | ||||
Maxime Lajoie | D | 25 | 762,500$ | 775,000$ | 750,000$ | UFA | |||||
Mikhail Abramov | C | 22 | 809,444$ | 809,444$ | 809,444$ | 809,444$ | RFA | ||||
Steven Santini | D | 28 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
William Borgen | D | 26 | 912,500$ | 925,000$ | 900,000$ | UFA | |||||
Xavier Ouellet | D | 29 | 841,667$ | 1,000,000$ | 762,500$ | 762,500$ | UFA |
Forward Lines | |||||||
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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 |
3,140,178$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Abbotsford | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 40$ | 25$ | $ | $ | $ |
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 |
3,140,178$ | 2,743,936$ | 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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