Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Max Comtois | 0 | LW | 100.00 | 78 | 48 | 71 | 72 | 82 | 85 | 87 | 71 | 63 | 70 | 69 | 64 | 72 | 63 | 68 | 0 | 50 | 74 | 24 | 1,481,250$/2yrs | |||
Isaac Ratcliffe | 0 | LW | 100.00 | 80 | 31 | 72 | 61 | 92 | 79 | 84 | 62 | 56 | 64 | 61 | 60 | 65 | 63 | 66 | 0 | 50 | 70 | 24 | 838,542$/2yrs | |||
Josiah Slavin | 0 | LW | 100.00 | 67 | 38 | 86 | 63 | 81 | 79 | 82 | 62 | 73 | 61 | 62 | 65 | 61 | 64 | 67 | 0 | 50 | 69 | 24 | 925,000$/2yrs | |||
Antti Suomela | 0 | C | 100.00 | 61 | 37 | 94 | 62 | 70 | 82 | 75 | 61 | 73 | 62 | 63 | 59 | 62 | 68 | 70 | 0 | 50 | 67 | 29 | 1,200,000$/1yrs | |||
Joel Kellman | 0 | C | 100.00 | 62 | 39 | 80 | 61 | 73 | 77 | 66 | 62 | 72 | 64 | 61 | 63 | 64 | 69 | 70 | 0 | 50 | 67 | 29 | 850,000$/1yrs | |||
Paul Thompson | 0 | RW | 100.00 | 68 | 45 | 62 | 59 | 77 | 80 | 65 | 58 | 61 | 59 | 60 | 57 | 60 | 74 | 76 | 0 | 50 | 66 | 34 | 750,000$/1yrs | |||
Jermaine Loewen | 0 | RW | 100.00 | 81 | 75 | 56 | 52 | 90 | 74 | 70 | 53 | 56 | 55 | 54 | 61 | 52 | 64 | 66 | 0 | 50 | 65 | 25 | 750,000$/1yrs | |||
Jakub Pour | 0 | RW | 100.00 | 74 | 34 | 86 | 59 | 83 | 69 | 72 | 57 | 55 | 52 | 56 | 63 | 58 | 63 | 65 | 0 | 50 | 65 | 24 | 750,000$/1yrs | |||
Ryan Fitzgerald | 0 | C/LW | 100.00 | 55 | 36 | 89 | 57 | 65 | 81 | 86 | 58 | 76 | 59 | 63 | 57 | 62 | 73 | 67 | 0 | 50 | 65 | 28 | 750,000$/1yrs | |||
Adam Johnson | 0 | C/LW | 100.00 | 60 | 38 | 85 | 57 | 69 | 82 | 80 | 56 | 61 | 59 | 58 | 54 | 57 | 68 | 70 | 0 | 50 | 64 | 28 | 1,000,000$/1yrs | |||
Cameron Hebig | 0 | RW | 100.00 | 59 | 38 | 83 | 55 | 71 | 80 | 89 | 56 | 60 | 57 | 58 | 54 | 56 | 65 | 67 | 0 | 50 | 64 | 26 | 750,000$/1yrs | |||
Will Cuylle | 0 | LW | 100.00 | 75 | 64 | 55 | 58 | 84 | 64 | 69 | 57 | 53 | 56 | 59 | 55 | 57 | 59 | 61 | 0 | 50 | 64 | 21 | 902,500$/3yrs | |||
Simon Benoit | 0 | D | 100.00 | 86 | 42 | 89 | 60 | 84 | 80 | 79 | 61 | 30 | 62 | 58 | 67 | 45 | 64 | 66 | 0 | 50 | 70 | 24 | 807,500$/2yrs | |||
Alexander Alexeyev (A) | 0 | D | 100.00 | 83 | 70 | 86 | 65 | 88 | 74 | 79 | 63 | 30 | 66 | 56 | 64 | 52 | 63 | 65 | 0 | 50 | 70 | 23 | 878,750$/2yrs | |||
Joey Keane | 0 | D | 100.00 | 61 | 34 | 70 | 65 | 72 | 85 | 82 | 64 | 30 | 62 | 58 | 60 | 51 | 63 | 65 | 0 | 50 | 67 | 23 | 925,000$/1yrs | |||
Mac Hollowell | 0 | D | 100.00 | 63 | 38 | 76 | 59 | 63 | 67 | 70 | 57 | 30 | 64 | 55 | 57 | 50 | 64 | 66 | 0 | 50 | 63 | 24 | 774,883$/2yrs | |||
Michael Kesselring | 0 | D | 100.00 | 75 | 41 | 77 | 53 | 84 | 73 | 80 | 52 | 30 | 55 | 53 | 51 | 46 | 62 | 64 | 0 | 50 | 63 | 23 | 925,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Connor Dewar | 0 | C | 100.00 | 63 | 38 | 77 | 65 | 67 | 81 | 78 | 64 | 72 | 63 | 62 | 61 | 65 | 63 | 64 | 0 | 50 | 67 | 23 | 841,667$/3yrs | |||
John Ludvig (A) | 0 | D | 100.00 | 71 | 57 | 69 | 60 | 80 | 70 | 65 | 57 | 30 | 65 | 56 | 59 | 49 | 61 | 61 | 0 | 50 | 65 | 22 | 925,000$/2yrs | |||
Josh Jacobs | 0 | D | 100.00 | 71 | 39 | 86 | 59 | 80 | 69 | 75 | 57 | 30 | 56 | 54 | 62 | 50 | 66 | 67 | 0 | 50 | 65 | 27 | 750,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ivan Prosvetov | 0 | 100.00 | 73 | 79 | 78 | 88 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 63 | 69 | 0 | 50 | 75 | 24 | 837,500$/2yrs |
Matthew Villalta | 0 | 100.00 | 71 | 77 | 78 | 76 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 63 | 69 | 0 | 50 | 73 | 24 | 1,006,250$/2yrs |
Scratches | ||||||||||||||||||||
Jiri Patera | 0 | 100.00 | 70 | 71 | 70 | 82 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 63 | 69 | 0 | 50 | 72 | 24 | 800,000$/2yrs |
David Tendeck | 0 | 100.00 | 67 | 65 | 66 | 72 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 63 | 69 | 0 | 50 | 68 | 23 | 783,333$/2yrs |
Ian Scott | 0 | 100.00 | 60 | 65 | 63 | 77 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 63 | 67 | 0 | 50 | 64 | 24 | 910,833$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jean Jacques Daigneault | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 56 | 4 | 0$ |
General Manager |
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Priority | Type | Description |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Johnson | C/LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Alexander Alexeyev | D | 23 | 878,750$ | 894,167$ | 863,333$ | RFA | |||||
Antti Suomela | C | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Cameron Hebig | RW | 26 | 750,000$ | 750,000$ | UFA | ||||||
Connor Dewar | C | 23 | 841,667$ | 925,000$ | 800,000$ | 800,000$ | RFA | ||||
David Tendeck | G | 23 | 783,333$ | 783,333$ | 783,333$ | RFA | |||||
Ian Scott | G | 24 | 910,833$ | 910,833$ | RFA | ||||||
Isaac Ratcliffe | LW | 24 | 838,542$ | 863,333$ | 813,750$ | RFA | |||||
Ivan Prosvetov | G | 24 | 837,500$ | 925,000$ | 750,000$ | RFA | |||||
Jakub Pour | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jermaine Loewen | RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Jiri Patera | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Joel Kellman | C | 29 | 850,000$ | 850,000$ | UFA | ||||||
Joey Keane | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
John Ludvig | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Josh Jacobs | D | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Josiah Slavin | LW | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Mac Hollowell | D | 24 | 774,883$ | 799,766$ | 750,000$ | RFA | |||||
Matthew Villalta | G | 24 | 1,006,250$ | 1,225,000$ | 787,500$ | RFA | |||||
Max Comtois | LW | 24 | 1,481,250$ | 925,000$ | 2,037,500$ | RFA | |||||
Michael Kesselring | D | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Paul Thompson | RW | 34 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Fitzgerald | C/LW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Simon Benoit | D | 24 | 807,500$ | 865,000$ | 750,000$ | RFA | |||||
Will Cuylle | LW | 21 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | 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 |
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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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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 | |
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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 |
2,206,893$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Henderson | |
Capacity | 4000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 2000 | |||
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$ | 4000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,206,893$ | 2,211,300$ | 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 | |||
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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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