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Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 28 | RW | 100.00 | 66 | 40 | 89 | 71 | 69 | 68 | 75 | 56 | 56 | 59 | 59 | 69 | 54 | 70 | 65 | 0 | 50 | 67 | 30 | 4,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 50 | 84 | 65 | 59 | 62 | 61 | 60 | 54 | 61 | 61 | 66 | 56 | 59 | 58 | 0 | 50 | 65 | 26 | 775,000$/1yrs | |||
![]() | 81 | LW | 100.00 | 58 | 58 | 66 | 61 | 67 | 68 | 66 | 58 | 55 | 58 | 58 | 64 | 55 | 67 | 60 | 0 | 50 | 64 | 29 | 775,000$/2yrs | |||
![]() | 45 | C/LW | 100.00 | 56 | 56 | 70 | 59 | 74 | 68 | 65 | 59 | 56 | 59 | 57 | 64 | 56 | 62 | 57 | 0 | 50 | 64 | 26 | 775,000$/2yrs | |||
![]() | 14 | C/LW | 100.00 | 56 | 54 | 65 | 58 | 66 | 68 | 66 | 59 | 70 | 59 | 57 | 63 | 54 | 72 | 63 | 0 | 50 | 63 | 32 | 762,500$/1yrs | |||
![]() | 44 | RW | 100.00 | 67 | 65 | 78 | 58 | 78 | 54 | 71 | 52 | 50 | 64 | 56 | 64 | 53 | 72 | 57 | 0 | 50 | 63 | 33 | 3,200,000$/1yrs | |||
![]() | 7 | C/LW/RW | 100.00 | 57 | 54 | 70 | 58 | 71 | 64 | 62 | 60 | 59 | 60 | 58 | 62 | 57 | 65 | 59 | 0 | 50 | 63 | 27 | 775,000$/1yrs | |||
![]() | 54 | C | 100.00 | 54 | 54 | 69 | 56 | 71 | 59 | 58 | 56 | 55 | 55 | 57 | 60 | 54 | 60 | 56 | 0 | 50 | 61 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 51 | 73 | 64 | 67 | 68 | 66 | 57 | 40 | 63 | 55 | 71 | 54 | 62 | 58 | 0 | 50 | 65 | 27 | 775,000$/1yrs | |||
![]() | 37 | D | 100.00 | 57 | 57 | 63 | 62 | 63 | 68 | 66 | 60 | 40 | 59 | 58 | 63 | 54 | 65 | 59 | 0 | 50 | 64 | 27 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 54 | 66 | 59 | 73 | 66 | 64 | 58 | 40 | 59 | 55 | 66 | 54 | 58 | 55 | 0 | 50 | 63 | 23 | 775,000$/2yrs | |||
![]() | 48 | D | 100.00 | 56 | 54 | 64 | 58 | 65 | 68 | 66 | 58 | 40 | 58 | 56 | 64 | 54 | 63 | 58 | 0 | 50 | 63 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 26 | LW | 100.00 | 83 | 95 | 78 | 63 | 82 | 55 | 70 | 57 | 52 | 62 | 61 | 69 | 55 | 58 | 59 | 0 | 50 | 67 | 25 | 810,000$/3yrs | |||
![]() | 17 | C | 100.00 | 56 | 59 | 66 | 61 | 74 | 67 | 65 | 60 | 60 | 59 | 58 | 64 | 54 | 60 | 56 | 0 | 50 | 64 | 25 | 750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 58 | 67 | 61 | 62 | 67 | 65 | 60 | 55 | 58 | 59 | 63 | 55 | 56 | 54 | 0 | 50 | 63 | 23 | 950,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 57 | 69 | 60 | 70 | 63 | 61 | 59 | 56 | 58 | 59 | 63 | 55 | 57 | 54 | 0 | 50 | 63 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 60 | 57 | 67 | 60 | 62 | 65 | 62 | 56 | 52 | 56 | 58 | 62 | 52 | 52 | 51 | 0 | 50 | 62 | 21 | 850,000$/3yrs | |||
![]() | 0 | C | 100.00 | 55 | 57 | 69 | 60 | 62 | 64 | 62 | 58 | 55 | 56 | 58 | 63 | 58 | 55 | 53 | 0 | 50 | 62 | 21 | 950,000$/3yrs | |||
![]() | 0 | C | 100.00 | 54 | 54 | 69 | 58 | 59 | 65 | 63 | 58 | 70 | 58 | 55 | 64 | 56 | 53 | 52 | 0 | 50 | 61 | 21 | 926,667$/3yrs | |||
![]() | 0 | C | 100.00 | 55 | 54 | 68 | 59 | 61 | 65 | 63 | 57 | 60 | 56 | 56 | 63 | 54 | 55 | 53 | 0 | 50 | 61 | 21 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 54 | 69 | 56 | 63 | 60 | 59 | 56 | 70 | 55 | 55 | 60 | 54 | 58 | 55 | 0 | 50 | 60 | 24 | ||||
![]() | 0 | C/LW | 100.00 | 56 | 54 | 67 | 56 | 67 | 61 | 60 | 55 | 55 | 55 | 55 | 61 | 54 | 55 | 53 | 0 | 50 | 60 | 22 | 844,167$/1yrs | |||
![]() | 27 | C/LW | 100.00 | 54 | 55 | 69 | 54 | 69 | 58 | 57 | 55 | 55 | 54 | 55 | 60 | 54 | 58 | 55 | 0 | 50 | 59 | 23 | ||||
![]() | 0 | C | 100.00 | 53 | 51 | 65 | 56 | 62 | 59 | 58 | 54 | 52 | 52 | 55 | 60 | 51 | 52 | 50 | 0 | 50 | 58 | 22 | 880,000$/3yrs | |||
![]() | 0 | C | 100.00 | 53 | 51 | 66 | 53 | 59 | 55 | 54 | 52 | 52 | 52 | 53 | 57 | 51 | 51 | 49 | 0 | 50 | 56 | 20 | 860,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 53 | 72 | 59 | 72 | 67 | 64 | 56 | 41 | 57 | 55 | 67 | 55 | 60 | 56 | 0 | 50 | 63 | 24 | 750,000$/4yrs | |||
![]() | 38 | D | 100.00 | 53 | 51 | 62 | 55 | 62 | 60 | 59 | 53 | 38 | 53 | 52 | 57 | 51 | 56 | 52 | 0 | 50 | 58 | 25 | ||||
![]() | 3 | D | 100.00 | 52 | 52 | 64 | 53 | 58 | 58 | 57 | 53 | 38 | 53 | 52 | 57 | 51 | 56 | 52 | 0 | 50 | 57 | 25 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 66 | 68 | 80 | 86 | 67 | 80 | 71 | 81 | 73 | 83 | 58 | 56 | 0 | 50 | 75 | 26 | 766,667$/5yrs |
![]() | 60 | 100.00 | 62 | 65 | 66 | 66 | 67 | 57 | 68 | 64 | 63 | 64 | 64 | 68 | 60 | 0 | 50 | 65 | 30 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 65 | 64 | 64 | 67 | 67 | 60 | 69 | 65 | 61 | 62 | 61 | 59 | 55 | 0 | 50 | 65 | 25 | 925,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Steve Hartley | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 39 | 5 | 0$ |
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 |
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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 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula ![]() | D | 23 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Alexis Gendron ![]() | C | 20 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Amadeus Lombardi ![]() | C | 21 | 926,667$ | 926,667$ | 926,667$ | 926,667$ | RFA | ||||
Anton Blidh ![]() | LW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Blade Jenkins ![]() | C/LW | 23 | 0$ | RFA | |||||||
Casey Fitzgerald ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Cedric Pare ![]() | C | 25 | 750,000$ | 775,000$ | 775,000$ | ![]() | |||||
Collin Delia ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Connor Brown ![]() | RW | 30 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Emil Heineman ![]() | C/LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Greg McKegg ![]() | C/LW | 32 | 762,500$ | 762,500$ | UFA | ||||||
Jack St. Ivany ![]() | D | 24 | 750,000$ | 950,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | |||
James Malatesta ![]() | LW | 21 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Jared Davidson ![]() | C | 22 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | ![]() | ||||
Jaxson Stauber ![]() | G | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Jeremy Davies ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jonah Gadjovich ![]() | LW | 25 | 810,000$ | 810,000$ | 775,000$ | 775,000$ | UFA | ||||
Joona Koppanen ![]() | C/LW | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Joseph Woll ![]() | G | 26 | 766,667$ | 766,667$ | 766,667$ | 3,666,667$ | 3,666,667$ | 3,666,667$ | UFA | ||
Justin Kirkland ![]() | C/LW/RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Luke Toporowski ![]() | C/LW | 23 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Matthew Maggio ![]() | C | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Matthew Phillips ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Max Gildon ![]() | D | 25 | 0$ | ![]() | |||||||
Mitchell Hoelscher ![]() | C | 24 | 0$ | ![]() | |||||||
Oskari Laaksonen ![]() | D | 25 | 0$ | ![]() | |||||||
Raivis Ansons ![]() | C/LW | 22 | 844,167$ | 844,167$ | RFA | ||||||
Ryder Korczak ![]() | C | 21 | 925,000$ | 925,000$ | RFA | ||||||
Scott Reedy ![]() | C | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Wyatt Kalynuk ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Zack Kassian ![]() | RW | 33 | 3,200,000$ | 3,200,000$ | UFA |
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1st Power Play Unit | |||||||
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Goalies | |||||||
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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 | |
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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 |
2,805,001$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Charlotte | |
Capacity | 3000 | |
Season Ticket Holders | 15% |
Arena Capacity - Ticket Price Attendance - % | |||||
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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 | |||||
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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 |
2,805,001$ | 2,782,501$ | 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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