Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Egor Sokolov | 75 | LW | 100.00 | 79 | 81 | 87 | 64 | 88 | 86 | 85 | 63 | 54 | 61 | 62 | 59 | 65 | 63 | 64 | 0 | 50 | 70 | 22 | 850,000$/2yrs | |||
Brandon Pirri | 73 | C/LW/RW | 100.00 | 64 | 42 | 85 | 66 | 73 | 80 | 78 | 63 | 75 | 64 | 65 | 62 | 67 | 78 | 69 | 0 | 50 | 69 | 32 | 957,000$/1yrs | |||
C.J. Smith | 17 | LW | 100.00 | 76 | 36 | 94 | 65 | 70 | 86 | 79 | 62 | 59 | 63 | 62 | 61 | 63 | 68 | 70 | 0 | 50 | 69 | 28 | 800,000$/2yrs | |||
Michael Chaput | 62 | C | 100.00 | 72 | 39 | 82 | 60 | 81 | 74 | 83 | 59 | 77 | 60 | 56 | 64 | 58 | 70 | 72 | 0 | 50 | 68 | 31 | 839,000$/1yrs | |||
Tomas Jurco | 83 | LW/RW | 100.00 | 55 | 35 | 94 | 67 | 80 | 77 | 70 | 68 | 62 | 63 | 62 | 57 | 66 | 77 | 69 | 0 | 50 | 68 | 30 | 750,000$/1yrs | |||
Luke Johnson | 41 | C | 100.00 | 74 | 38 | 82 | 60 | 67 | 86 | 70 | 61 | 80 | 62 | 63 | 64 | 59 | 68 | 70 | 0 | 50 | 68 | 28 | 869,000$/1yrs | |||
Austin Poganski | 72 | RW | 100.00 | 72 | 39 | 89 | 61 | 77 | 78 | 87 | 59 | 57 | 60 | 58 | 61 | 59 | 66 | 68 | 0 | 50 | 67 | 27 | 850,000$/2yrs | |||
Remi Elie | 6 | LW | 100.00 | 75 | 38 | 92 | 60 | 82 | 87 | 77 | 59 | 62 | 58 | 61 | 57 | 61 | 67 | 69 | 0 | 50 | 67 | 28 | 1,018,000$/1yrs | |||
Cole Koepke | 45 | LW | 100.00 | 68 | 31 | 70 | 58 | 77 | 95 | 93 | 59 | 62 | 58 | 60 | 57 | 61 | 64 | 66 | 0 | 50 | 67 | 25 | 925,000$/2yrs | |||
Blake Speers | 39 | C/RW | 100.00 | 70 | 37 | 82 | 62 | 69 | 75 | 78 | 62 | 73 | 60 | 61 | 65 | 62 | 65 | 67 | 0 | 50 | 67 | 26 | 850,000$/1yrs | |||
Jackson Cates | 59 | C | 100.00 | 63 | 36 | 85 | 62 | 72 | 75 | 74 | 61 | 73 | 60 | 62 | 59 | 62 | 65 | 67 | 0 | 50 | 66 | 25 | 862,500$/2yrs | |||
Cal Foote | 52 | D | 100.00 | 78 | 43 | 88 | 67 | 92 | 81 | 89 | 66 | 30 | 65 | 59 | 62 | 53 | 64 | 66 | 0 | 50 | 71 | 24 | 956,250$/2yrs | |||
Carl Dahlstrom | 48 | D | 100.00 | 85 | 73 | 91 | 60 | 95 | 79 | 74 | 55 | 30 | 67 | 58 | 63 | 51 | 67 | 69 | 0 | 50 | 70 | 28 | 1,205,500$/2yrs | |||
Nikita Nesterov | 89 | D | 100.00 | 74 | 34 | 83 | 64 | 71 | 85 | 73 | 66 | 30 | 67 | 55 | 63 | 52 | 75 | 68 | 0 | 50 | 69 | 30 | 1,250,000$/1yrs | |||
Dan Renouf | 44 | D | 100.00 | 72 | 45 | 74 | 59 | 83 | 76 | 84 | 57 | 30 | 66 | 58 | 62 | 53 | 68 | 70 | 0 | 50 | 68 | 29 | 869,000$/3yrs | |||
Jacob MacDonald | 9 | D | 100.00 | 66 | 34 | 88 | 64 | 76 | 87 | 72 | 57 | 30 | 70 | 59 | 62 | 51 | 69 | 71 | 0 | 50 | 68 | 30 | 908,333$/3yrs | |||
Ben Gleason | 63 | D | 100.00 | 64 | 38 | 77 | 62 | 73 | 76 | 94 | 61 | 30 | 65 | 56 | 55 | 48 | 64 | 66 | 0 | 50 | 67 | 25 | 850,000$/2yrs | |||
Otto Leskinen | 47 | D | 100.00 | 80 | 35 | 95 | 63 | 70 | 78 | 77 | 61 | 30 | 62 | 57 | 58 | 49 | 67 | 64 | 0 | 50 | 67 | 26 | 800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Chase Pearson | 46 | C | 100.00 | 63 | 39 | 89 | 60 | 84 | 77 | 78 | 59 | 73 | 58 | 57 | 60 | 63 | 65 | 67 | 0 | 50 | 66 | 25 | 904,416$/2yrs | |||
Jean-Luc Foudy | 93 | C | 100.00 | 59 | 36 | 84 | 66 | 70 | 78 | 82 | 63 | 71 | 60 | 56 | 57 | 63 | 61 | 62 | 0 | 50 | 65 | 21 | 894,167$/4yrs | |||
Shane Gersich | 63 | LW | 100.00 | 61 | 39 | 72 | 58 | 70 | 82 | 92 | 57 | 55 | 58 | 59 | 56 | 58 | 66 | 68 | 0 | 50 | 65 | 26 | 975,000$/1yrs | |||
Hugh McGing | 56 | C/LW | 100.00 | 62 | 37 | 85 | 58 | 62 | 77 | 89 | 57 | 58 | 59 | 57 | 52 | 57 | 64 | 66 | 0 | 50 | 63 | 24 | 837,500$/2yrs | |||
Graham McPhee | 37 | LW | 100.00 | 56 | 38 | 85 | 54 | 69 | 77 | 61 | 55 | 59 | 56 | 57 | 53 | 56 | 64 | 66 | 0 | 50 | 61 | 24 | 750,000$/1yrs | |||
Jordan Schmaltz | 2 | D | 100.00 | 71 | 46 | 82 | 54 | 80 | 76 | 81 | 54 | 30 | 57 | 54 | 57 | 46 | 75 | 71 | 0 | 50 | 65 | 29 | 962,000$/1yrs | |||
Parker Wotherspoon | 38 | D | 100.00 | 63 | 45 | 57 | 60 | 69 | 76 | 82 | 57 | 30 | 60 | 53 | 52 | 46 | 65 | 67 | 0 | 50 | 64 | 25 | 764,500$/2yrs | |||
Wyatte Wylie | 65 | D | 100.00 | 63 | 38 | 87 | 58 | 72 | 69 | 87 | 55 | 30 | 57 | 54 | 55 | 45 | 63 | 65 | 0 | 50 | 63 | 23 | 812,500$/2yrs | |||
Jacob Friend | 3 | D | 100.00 | 65 | 46 | 56 | 54 | 76 | 63 | 61 | 53 | 30 | 52 | 54 | 56 | 45 | 65 | 67 | 0 | 50 | 61 | 25 | 750,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Troy Grosenick | 29 | 100.00 | 75 | 73 | 72 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 73 | 87 | 0 | 50 | 77 | 33 | 825,000$/2yrs |
Kevin Boyle | 34 | 100.00 | 70 | 80 | 78 | 75 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 77 | 83 | 0 | 50 | 74 | 31 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
Pat Nagle | 1 | 100.00 | 71 | 72 | 71 | 74 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 75 | 89 | 0 | 50 | 74 | 35 | 1,130,000$/1yrs |
Evan Cormier | 34 | 100.00 | 71 | 69 | 70 | 83 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 66 | 73 | 0 | 50 | 73 | 25 | 750,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 86 | 93 | 85 | 79 | 85 | 79 | 63 | CAN | 57 | 5 | 0$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austin Poganski | RW | 27 | 850,000$ | 950,000$ | 750,000$ | UFA | |||||
Ben Gleason | D | 25 | 850,000$ | 950,000$ | 750,000$ | UFA | |||||
Blake Speers | C/RW | 26 | 850,000$ | 850,000$ | UFA | ||||||
Brandon Pirri | C/LW/RW | 32 | 957,000$ | 957,000$ | UFA | ||||||
C.J. Smith | LW | 28 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Cal Foote | D | 24 | 956,250$ | 1,062,500$ | 850,000$ | RFA | |||||
Carl Dahlstrom | D | 28 | 1,205,500$ | 1,661,000$ | 750,000$ | UFA | |||||
Chase Pearson | C | 25 | 904,416$ | 891,000$ | 917,831$ | UFA | |||||
Cole Koepke | LW | 25 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Dan Renouf | D | 29 | 869,000$ | 1,082,000$ | 762,500$ | 762,500$ | UFA | ||||
Egor Sokolov | LW | 22 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Evan Cormier | G | 25 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Graham McPhee | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Hugh McGing | C/LW | 24 | 837,500$ | 925,000$ | 750,000$ | RFA | |||||
Jackson Cates | C | 25 | 862,500$ | 950,000$ | 775,000$ | UFA | |||||
Jacob Friend | D | 25 | 750,000$ | 750,000$ | RFA | ||||||
Jacob MacDonald | D | 30 | 908,333$ | 1,200,000$ | 762,500$ | 762,500$ | UFA | ||||
Jean-Luc Foudy | C | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | |||
Jordan Schmaltz | D | 29 | 962,000$ | 962,000$ | UFA | ||||||
Kevin Boyle | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Luke Johnson | C | 28 | 869,000$ | 869,000$ | UFA | ||||||
Michael Chaput | C | 31 | 839,000$ | 839,000$ | UFA | ||||||
Nikita Nesterov | D | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Otto Leskinen | D | 26 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Parker Wotherspoon | D | 25 | 764,500$ | 779,000$ | 750,000$ | UFA | |||||
Pat Nagle | G | 35 | 1,130,000$ | 1,130,000$ | UFA | ||||||
Remi Elie | LW | 28 | 1,018,000$ | 1,018,000$ | UFA | ||||||
Shane Gersich | LW | 26 | 975,000$ | 975,000$ | UFA | ||||||
Tomas Jurco | LW/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Troy Grosenick | G | 33 | 825,000$ | 900,000$ | 750,000$ | UFA | |||||
Wyatte Wylie | D | 23 | 812,500$ | 750,000$ | 875,000$ | RFA |
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 | 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 |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,906,967$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Ontario | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 20$ | 10$ | $ | $ | $ |
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 |
2,906,967$ | 2,751,467$ | 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 |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|