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Full Scoreboard »» |
Charlotte Checkers 0-0-0, 0pts · 14th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chase de Leo | 0 | C | 100.00 | 63 | 38 | 86 | 64 | 69 | 74 | 73 | 66 | 78 | 70 | 63 | 68 | 67 | 72 | 71 | 0 | 34 | 76 | 28 | 775,000$/1yrs | |||
Vasily Podkolzin | 0 | LW/RW | 100.00 | 72 | 39 | 91 | 64 | 75 | 75 | 74 | 62 | 71 | 62 | 66 | 62 | 64 | 62 | 61 | 0 | 62 | 73 | 22 | 925,000$/1yrs | |||
Adam Brooks | 0 | C | 100.00 | 65 | 39 | 82 | 57 | 70 | 68 | 80 | 65 | 73 | 62 | 56 | 68 | 59 | 70 | 68 | 0 | 51 | 72 | 27 | 800,000$/3yrs | |||
Gage Goncalves | 0 | C | 100.00 | 64 | 38 | 84 | 62 | 69 | 68 | 90 | 64 | 68 | 67 | 56 | 63 | 62 | 61 | 59 | 0 | 59 | 72 | 23 | 820,000$/1yrs | |||
Tye Felhaber | 43 | LW | 100.00 | 60 | 38 | 90 | 58 | 71 | 67 | 75 | 63 | 74 | 57 | 60 | 66 | 59 | 66 | 65 | 0 | 36 | 71 | 25 | 775,000$/1yrs | |||
Daniil Gushchin | 0 | LW | 100.00 | 62 | 38 | 87 | 62 | 69 | 68 | 88 | 59 | 44 | 62 | 61 | 62 | 61 | 59 | 58 | 0 | 53 | 71 | 22 | 850,833$/1yrs | |||
Colby Barlow (R) | 0 | LW | 100.00 | 64 | 39 | 86 | 65 | 74 | 70 | 60 | 56 | 30 | 63 | 66 | 61 | 64 | 54 | 56 | 0 | 50 | 71 | 19 | 950,000$/3yrs | |||
Blade Jenkins | 0 | LW | 100.00 | 59 | 38 | 94 | 59 | 79 | 67 | 60 | 57 | 42 | 59 | 59 | 63 | 59 | 63 | 63 | 0 | 82 | 70 | 23 | 800,000$/2yrs | |||
Isak Rosen (R) | 0 | RW | 100.00 | 58 | 37 | 93 | 61 | 68 | 67 | 85 | 58 | 59 | 61 | 58 | 61 | 59 | 58 | 57 | 0 | 54 | 70 | 21 | 925,000$/2yrs | |||
Jake Leschyshyn | 0 | C | 100.00 | 75 | 32 | 91 | 55 | 75 | 70 | 73 | 51 | 30 | 50 | 50 | 62 | 50 | 65 | 65 | 0 | 42 | 67 | 25 | 775,000$/2yrs | |||
Adam Sykora (R) | 0 | LW/RW | 100.00 | 55 | 37 | 99 | 58 | 66 | 63 | 72 | 57 | 64 | 58 | 54 | 60 | 56 | 56 | 55 | 0 | 36 | 67 | 19 | 870,000$/2yrs | |||
Reid Schaefer (R) | 0 | LW | 100.00 | 66 | 40 | 81 | 54 | 88 | 61 | 71 | 59 | 46 | 54 | 51 | 62 | 52 | 57 | 55 | 0 | 36 | 67 | 20 | 950,000$/2yrs | |||
Kaedan Korczak (R) | 0 | D | 100.00 | 74 | 33 | 90 | 74 | 82 | 83 | 75 | 70 | 30 | 78 | 64 | 74 | 67 | 63 | 62 | 0 | 53 | 84 | 23 | 789,167$/1yrs | |||
Matthew Benning | 0 | D | 100.00 | 71 | 33 | 84 | 66 | 80 | 88 | 85 | 68 | 30 | 74 | 55 | 76 | 61 | 75 | 73 | 0 | 64 | 82 | 29 | 1,000,000$/1yrs | |||
Josh Jacobs | 28 | D | 100.00 | 68 | 40 | 84 | 57 | 86 | 70 | 60 | 59 | 30 | 62 | 58 | 70 | 60 | 70 | 72 | 0 | 48 | 74 | 28 | 775,000$/1yrs | |||
Chad Krys | 0 | D | 100.00 | 68 | 39 | 78 | 60 | 71 | 61 | 60 | 58 | 65 | 64 | 54 | 66 | 59 | 65 | 62 | 0 | 23 | 73 | 26 | 775,000$/1yrs | |||
Alexander Petrovic | 0 | D | 100.00 | 71 | 41 | 72 | 52 | 87 | 68 | 89 | 51 | 30 | 58 | 53 | 73 | 56 | 77 | 74 | 0 | 67 | 72 | 32 | 775,000$/1yrs | |||
Leon Gawanke | 9 | D | 100.00 | 71 | 40 | 73 | 56 | 78 | 69 | 88 | 55 | 30 | 62 | 59 | 66 | 61 | 65 | 62 | 0 | 51 | 72 | 24 | 775,000$/2yrs | |||
Victor Mete | 0 | D | 100.00 | 64 | 37 | 81 | 54 | 69 | 68 | 70 | 53 | 30 | 61 | 50 | 66 | 54 | 67 | 65 | 0 | 36 | 70 | 25 | 850,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Joona Luoto | 0 | LW/RW | 100.00 | 63 | 38 | 93 | 63 | 82 | 73 | 60 | 63 | 36 | 62 | 67 | 66 | 65 | 68 | 69 | 0 | 19 | 75 | 26 | ||||
Semyon Der-Arguchintsev | 0 | C | 100.00 | 64 | 38 | 88 | 67 | 66 | 72 | 60 | 66 | 71 | 69 | 65 | 61 | 67 | 63 | 64 | 0 | 19 | 75 | 23 | 800,000$/2yrs | |||
Aarne Talvitie (R) | 0 | C | 100.00 | 61 | 38 | 92 | 61 | 77 | 69 | 60 | 59 | 73 | 62 | 60 | 66 | 61 | 65 | 66 | 0 | 20 | 72 | 25 | ||||
Jack Kopacka | 52 | LW | 100.00 | 67 | 40 | 79 | 61 | 79 | 61 | 60 | 59 | 65 | 60 | 62 | 62 | 61 | 65 | 62 | 0 | 20 | 71 | 26 | ||||
J.C. Beaudin | 0 | C | 100.00 | 68 | 39 | 78 | 58 | 77 | 74 | 60 | 57 | 66 | 59 | 56 | 57 | 54 | 65 | 67 | 0 | 19 | 68 | 27 | ||||
Francesco Pinelli (R) | 0 | C | 100.00 | 59 | 38 | 93 | 55 | 74 | 61 | 71 | 59 | 69 | 51 | 55 | 62 | 53 | 57 | 57 | 0 | 19 | 67 | 21 | ||||
Albin Grewe (R) | 0 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 19 | 10 | 23 | ||||
Axel Andersson | 58 | D | 100.00 | 67 | 38 | 85 | 58 | 70 | 68 | 60 | 56 | 30 | 61 | 58 | 65 | 59 | 63 | 64 | 0 | 20 | 72 | 24 | ||||
Jeremy Davies | 28 | D | 100.00 | 84 | 42 | 50 | 51 | 73 | 67 | 87 | 51 | 30 | 57 | 55 | 69 | 56 | 70 | 65 | 0 | 20 | 70 | 27 | 775,000$/1yrs | |||
Jordan Sambrook (R) | 0 | D | 100.00 | 54 | 38 | 94 | 51 | 75 | 64 | 75 | 53 | 30 | 54 | 54 | 68 | 57 | 66 | 66 | 0 | 23 | 68 | 26 | 775,000$/1yrs | |||
Yan Kuznetsov | 0 | D | 100.00 | 64 | 40 | 84 | 50 | 85 | 63 | 87 | 49 | 30 | 56 | 52 | 63 | 54 | 59 | 57 | 0 | 19 | 67 | 22 | 870,000$/1yrs | |||
Helge Grans (R) | 0 | D | 100.00 | 65 | 40 | 83 | 49 | 83 | 62 | 85 | 48 | 30 | 54 | 51 | 63 | 53 | 59 | 57 | 0 | 20 | 66 | 21 | 870,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Keith Petruzzelli | 0 | 100.00 | 73 | 77 | 71 | 81 | 68 | 75 | 74 | 73 | 75 | 74 | 74 | 65 | 66 | 0 | 38 | 78 | 25 | 817,500$/1yrs |
Oskari Salminen | 0 | 100.00 | 72 | 82 | 70 | 82 | 65 | 74 | 73 | 72 | 74 | 73 | 73 | 65 | 67 | 0 | 42 | 77 | 24 | 855,000$/1yrs |
Scratches | ||||||||||||||||||||
Jesper Wallstedt | 0 | 100.00 | 78 | 85 | 73 | 86 | 68 | 76 | 77 | 78 | 76 | 77 | 77 | 60 | 62 | 0 | 43 | 80 | 21 | 925,000$/2yrs |
Dylan Wells | 0 | 100.00 | 67 | 55 | 66 | 74 | 66 | 72 | 68 | 67 | 72 | 71 | 69 | 65 | 70 | 0 | 20 | 72 | 26 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Gruden | 68 | 70 | 76 | 68 | 78 | 75 | 58 | USA | 53 | 5 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie | C | 25 | 0$ | RFA | |||||||
Adam Brooks | C | 27 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Adam Sykora | LW/RW | 19 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Albin Grewe | LW | 23 | 0$ | RFA | |||||||
Alexander Petrovic | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Axel Andersson | D | 24 | 0$ | RFA | |||||||
Blade Jenkins | LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Chad Krys | D | 26 | 775,000$ | 775,000$ | RFA | ||||||
Chase de Leo | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colby Barlow | LW | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Daniil Gushchin | LW | 22 | 850,833$ | 850,833$ | RFA | ||||||
Dylan Wells | G | 26 | 0$ | RFA | |||||||
Dylan Wells | G | 26 | 0$ | RFA | |||||||
Francesco Pinelli | C | 21 | 0$ | RFA | |||||||
Gage Goncalves | C | 23 | 820,000$ | 820,000$ | RFA | ||||||
Helge Grans | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
Isak Rosen | RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
J.C. Beaudin | C | 27 | 0$ | UFA | |||||||
Jack Kopacka | LW | 26 | 0$ | RFA | |||||||
Jake Leschyshyn | C | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Jeremy Davies | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jesper Wallstedt | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Joona Luoto | LW/RW | 26 | 0$ | RFA | |||||||
Jordan Sambrook | D | 26 | 775,000$ | 775,000$ | RFA | ||||||
Josh Jacobs | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Kaedan Korczak | D | 23 | 789,167$ | 789,167$ | RFA | ||||||
Keith Petruzzelli | G | 25 | 817,500$ | 817,500$ | RFA | ||||||
Leon Gawanke | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Matthew Benning | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Oskari Salminen | G | 24 | 855,000$ | 855,000$ | RFA | ||||||
Reid Schaefer | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Semyon Der-Arguchintsev | C | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Tye Felhaber | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Vasily Podkolzin | LW/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Victor Mete | D | 25 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Yan Kuznetsov | D | 22 | 870,000$ | 870,000$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd 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 |
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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 | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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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 |
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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 |
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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 |
2,184,250$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Charlotte | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,184,250$ | 2,184,250$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 9 | 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 | |||
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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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