| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| GM: Noah Dawson | League Rank:19th | Arena: Holly Springs Arena |
| Conference: Eastern Conference | Conference Rank:9th | Capacity:3,000 |
| Division: Southeast | Division Rank:4th | Total Player Salaries:2,465,789$ |
| Captain: Cedric Winnik | Last 10: 0-0-0 | |
| Coach: | Home: 0-0-0 | |
| All-Time Record: 194 W - 158 L - 48 OTL | Away: 0-0-0 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 London Crossman (R) | 18 | LW | 100.00 | 76 | 50 | 62 | 96 | 66 | 83 | 87 | 88 | 86 | 92 | 50 | 52 | 34 | 68 | 68 | 72 | 50 | 77 | 22 | 1,750,000$/4yrs | |||
 Peter Jensen (R) | 0 | C | 100.00 | 51 | 65 | 81 | 82 | 48 | 90 | 92 | 91 | 83 | 77 | 57 | 88 | 77 | 64 | 67 | 75 | 50 | 77 | 19 | 1,000,000$/2yrs | |||
 Sampson Rushton (R) | 0 | RW | 100.00 | 97 | 30 | 82 | 61 | 56 | 99 | 58 | 95 | 55 | 81 | 75 | 77 | 93 | 92 | 64 | 60 | 50 | 76 | 23 | 800,000$/1yrs | |||
 Rylan Poirier (R) | 0 | LW | 100.00 | 29 | 56 | 91 | 99 | 97 | 94 | 78 | 79 | 45 | 81 | 79 | 29 | 72 | 30 | 30 | 71 | 50 | 76 | 21 | 800,000$/2yrs | |||
 Maxime Glenn (R) | 41 | C | 100.00 | 79 | 61 | 87 | 58 | 81 | 68 | 58 | 93 | 84 | 74 | 71 | 82 | 69 | 92 | 80 | 52 | 50 | 75 | 24 | 1,475,000$/5yrs | |||
 Calvin Decourcy (R) | 0 | RW | 100.00 | 66 | 54 | 83 | 74 | 81 | 66 | 99 | 67 | 65 | 64 | 63 | 99 | 52 | 60 | 66 | 69 | 50 | 75 | 22 | 1,000,000$/2yrs | |||
 Adrien Pinette (R) | 61 | RW | 100.00 | 67 | 53 | 69 | 81 | 72 | 58 | 59 | 79 | 92 | 78 | 57 | 93 | 67 | 52 | 91 | 56 | 50 | 73 | 24 | 850,000$/5yrs | |||
 Antoni Keiser | 37 | C | 100.00 | 73 | 45 | 59 | 88 | 86 | 59 | 84 | 60 | 99 | 57 | 36 | 99 | 55 | 55 | 95 | 50 | 50 | 71 | 27 | 1,000,000$/3yrs | |||
 Simo-Ville Annola (R) (A) | 25 | LW | 100.00 | 39 | 51 | 86 | 78 | 97 | 69 | 52 | 89 | 57 | 54 | 95 | 43 | 50 | 53 | 77 | 62 | 50 | 70 | 23 | 1,350,000$/3yrs | |||
 Jarl Koppa (R) | 0 | D | 100.00 | 92 | 35 | 90 | 91 | 64 | 88 | 90 | 71 | 25 | 69 | 47 | 90 | 68 | 26 | 44 | 79 | 50 | 78 | 21 | 1,000,000$/1yrs | |||
 Pascal Latonas | 9 | D | 100.00 | 50 | 52 | 75 | 91 | 96 | 67 | 97 | 47 | 25 | 54 | 65 | 99 | 98 | 95 | 51 | 19 | 50 | 77 | 32 | 1,890,000$/2yrs | |||
 Cedric Winnik (C) | 33 | D | 100.00 | 79 | 37 | 69 | 73 | 95 | 86 | 76 | 60 | 25 | 65 | 34 | 87 | 60 | 89 | 81 | 0 | 50 | 75 | 35 | 1,550,000$/1yrs | |||
 Arun Walton (R) | 0 | D | 100.00 | 24 | 51 | 83 | 59 | 54 | 90 | 79 | 90 | 25 | 75 | 79 | 71 | 50 | 55 | 41 | 60 | 50 | 72 | 23 | 900,000$/1yrs | |||
 Leon Hausermann (R) | 0 | D | 100.00 | 56 | 59 | 72 | 80 | 74 | 59 | 61 | 81 | 60 | 82 | 64 | 65 | 56 | 56 | 61 | 88 | 50 | 68 | 22 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
 Amos Rigdon (A) | 14 | C | 100.00 | 65 | 33 | 68 | 95 | 58 | 80 | 75 | 64 | 82 | 85 | 74 | 83 | 62 | 94 | 78 | 44 | 50 | 76 | 26 | 1,200,000$/5yrs | |||
 Gino Genua | 0 | LW | 100.00 | 59 | 51 | 58 | 57 | 75 | 68 | 78 | 73 | 79 | 81 | 98 | 81 | 92 | 47 | 58 | 56 | 50 | 75 | 27 | 1,600,000$/1yrs | |||
 Abram Nekhocheninov (R) | 73 | D | 100.00 | 93 | 58 | 78 | 63 | 82 | 84 | 63 | 87 | 25 | 66 | 67 | 89 | 90 | 43 | 91 | 62 | 50 | 77 | 24 | ||||
 Court Koritzinsky | 77 | D | 100.00 | 82 | 62 | 69 | 77 | 95 | 58 | 63 | 67 | 25 | 71 | 53 | 76 | 58 | 87 | 48 | 50 | 50 | 73 | 25 | 980,000$/2yrs | |||
 Garet Pawlick | 51 | D | 100.00 | 61 | 49 | 70 | 73 | 65 | 76 | 51 | 99 | 25 | 91 | 63 | 81 | 54 | 71 | 36 | 8 | 50 | 71 | 35 | 1,412,889$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Jeremie Soderberg | 39 | 100.00 | 64 | 55 | 94 | 68 | 80 | 83 | 76 | 72 | 85 | 92 | 54 | 76 | 57 | 51 | 50 | 77 | 26 | 1,900,000$/2yrs |
 Luka Decarie | 0 | 100.00 | 60 | 79 | 71 | 77 | 61 | 80 | 93 | 68 | 65 | 77 | 72 | 72 | 86 | 65 | 50 | 73 | 23 | 1,400,000$/3yrs |
| Scratches | ||||||||||||||||||||
 Kerr Rich | 38 | 100.00 | 57 | 65 | 81 | 67 | 80 | 74 | 72 | 47 | 69 | 83 | 53 | 39 | 84 | 62 | 50 | 70 | 24 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| General Manager | Noah Dawson |
|---|
| 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 | MPG | 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 | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Abram Nekhocheninov  | D | 24 | 0$ | 0$ | |||||||
| Adrien Pinette | RW | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||
| Amos Rigdon | C | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||
| Antoni Keiser | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Arun Walton | D | 23 | 900,000$ | 900,000$ | |||||||
| Calvin Decourcy | RW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Cedric Winnik | D | 35 | 1,550,000$ | 1,550,000$ | |||||||
| Court Koritzinsky | D | 25 | 980,000$ | 980,000$ | 980,000$ | ||||||
| Garet Pawlick | D | 35 | 1,412,889$ | 1,412,889$ | |||||||
| Gino Genua | LW | 27 | 1,600,000$ | 1,600,000$ | |||||||
| Jarl Koppa | D | 21 | 1,000,000$ | 1,000,000$ | |||||||
| Jeremie Soderberg | G | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
| Kerr Rich | G | 24 | 0$ | 0$ | |||||||
| Leon Hausermann | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
| London Crossman | LW | 22 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||
| Luka Decarie | G | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
| Maxime Glenn | C | 24 | 1,475,000$ | 1,475,000$ | 1,475,000$ | 1,475,000$ | 1,475,000$ | 1,475,000$ | |||
| Pascal Latonas | D | 32 | 1,890,000$ | 1,890,000$ | 1,890,000$ | ||||||
| Peter Jensen | C | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Rylan Poirier | LW | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Sampson Rushton | RW | 23 | 800,000$ | 800,000$ | |||||||
| Simo-Ville Annola | LW | 23 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ |
| 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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 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 | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,465,789$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Holly Springs | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
| 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 | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,465,789$ | 2,465,789$ | 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 |
| 
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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