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| Charlotte Checkers 0-0-0, 0pts · 13th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daniil Gushchin | 0 | LW | 100.00 | 69 | 39 | 77 | 65 | 69 | 70 | 82 | 65 | 46 | 60 | 68 | 61 | 64 | 59 | 57 | 0 | 49 | 73 | 24 | 900,000$/2yrs | |||
Gage Goncalves | 0 | C | 100.00 | 70 | 34 | 85 | 62 | 71 | 76 | 86 | 60 | 59 | 66 | 64 | 56 | 62 | 67 | 65 | 0 | 43 | 73 | 25 | 900,000$/1yrs | |||
Ryan Suzuki | 0 | C | 100.00 | 63 | 39 | 86 | 62 | 75 | 68 | 88 | 65 | 71 | 68 | 55 | 63 | 62 | 61 | 60 | 0 | 32 | 72 | 25 | ||||
Tye Felhaber | 43 | LW | 100.00 | 81 | 41 | 56 | 59 | 71 | 68 | 88 | 63 | 71 | 59 | 60 | 66 | 60 | 66 | 62 | 0 | 40 | 71 | 27 | 800,000$/1yrs | |||
Reid Schaefer (R) | 0 | LW | 100.00 | 83 | 40 | 88 | 56 | 92 | 71 | 72 | 55 | 56 | 54 | 63 | 62 | 59 | 62 | 61 | 0 | 43 | 70 | 22 | 886,666$/1yrs | |||
Isak Rosen (R) | 0 | RW | 100.00 | 60 | 31 | 99 | 59 | 62 | 73 | 72 | 57 | 58 | 59 | 63 | 55 | 60 | 63 | 63 | 0 | 31 | 69 | 23 | ||||
Landon Slaggert | 0 | LW | 100.00 | 71 | 35 | 84 | 56 | 71 | 73 | 78 | 56 | 58 | 58 | 57 | 64 | 56 | 64 | 63 | 0 | 46 | 69 | 23 | 800,000$/1yrs | |||
Dylan Peterson (R) | 0 | C/LW/RW | 100.00 | 86 | 43 | 50 | 58 | 83 | 65 | 82 | 59 | 67 | 56 | 59 | 62 | 57 | 59 | 54 | 0 | 46 | 69 | 24 | 850,000$/1yrs | |||
Ozzy Wiesblatt (R) | 0 | RW | 100.00 | 84 | 43 | 71 | 55 | 69 | 72 | 72 | 54 | 58 | 59 | 54 | 61 | 54 | 65 | 62 | 0 | 35 | 68 | 24 | 800,000$/1yrs | |||
Brooklyn Kalmikov | 0 | LW | 100.00 | 63 | 38 | 89 | 64 | 72 | 69 | 60 | 60 | 47 | 55 | 55 | 61 | 63 | 59 | 58 | 0 | 46 | 68 | 25 | 800,000$/1yrs | |||
Francesco Pinelli (R) | 0 | C | 100.00 | 68 | 39 | 78 | 58 | 74 | 64 | 88 | 58 | 65 | 57 | 57 | 61 | 57 | 57 | 55 | 0 | 42 | 68 | 23 | ||||
Blade Jenkins | 0 | LW | 100.00 | 63 | 39 | 86 | 54 | 78 | 63 | 77 | 61 | 45 | 56 | 52 | 65 | 54 | 63 | 61 | 0 | 27 | 67 | 25 | 800,000$/1yrs | |||
Caedan Bankier (R) | 0 | C | 100.00 | 65 | 39 | 82 | 57 | 77 | 63 | 88 | 58 | 67 | 55 | 55 | 61 | 55 | 57 | 56 | 0 | 20 | 67 | 23 | 850,000$/2yrs | |||
Yan Kuznetsov | 0 | D | 100.00 | 73 | 34 | 83 | 55 | 85 | 88 | 74 | 56 | 30 | 60 | 59 | 72 | 57 | 65 | 63 | 0 | 39 | 73 | 24 | 850,000$/1yrs | |||
Emil Andrae | 0 | D | 100.00 | 69 | 32 | 87 | 55 | 70 | 82 | 81 | 52 | 30 | 62 | 55 | 57 | 53 | 65 | 63 | 0 | 39 | 70 | 24 | ||||
Ben Harpur | 22 | D | 100.00 | 88 | 44 | 50 | 49 | 95 | 64 | 72 | 48 | 30 | 54 | 51 | 70 | 53 | 71 | 66 | 0 | 52 | 68 | 31 | 800,000$/1yrs | |||
Connor Mayer | 0 | D | 100.00 | 67 | 39 | 79 | 52 | 71 | 66 | 71 | 51 | 30 | 56 | 57 | 66 | 57 | 64 | 62 | 0 | 46 | 68 | 26 | 800,000$/1yrs | |||
Dawson Barteaux | 0 | D | 100.00 | 62 | 39 | 87 | 50 | 75 | 63 | 76 | 49 | 30 | 56 | 50 | 65 | 53 | 63 | 61 | 0 | 43 | 66 | 26 | 800,000$/1yrs | |||
Helge Grans (R) | 0 | D | 100.00 | 67 | 40 | 79 | 50 | 83 | 63 | 87 | 50 | 30 | 56 | 54 | 63 | 55 | 59 | 57 | 0 | 42 | 66 | 24 | 787,500$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Adam Brooks | 0 | C | 100.00 | 64 | 38 | 85 | 55 | 70 | 66 | 83 | 65 | 70 | 57 | 56 | 68 | 56 | 70 | 68 | 0 | 20 | 70 | 30 | ||||
Daniil But (R) | 0 | LW | 100.00 | 62 | 33 | 90 | 57 | 84 | 75 | 70 | 56 | 67 | 60 | 61 | 55 | 59 | 59 | 58 | 0 | 20 | 69 | 21 | ||||
Cameron Berg (R) | 0 | C | 100.00 | 66 | 39 | 81 | 58 | 74 | 64 | 71 | 59 | 68 | 54 | 59 | 62 | 57 | 59 | 57 | 0 | 20 | 68 | 24 | ||||
Adam Sykora (R) | 0 | LW/RW | 100.00 | 59 | 37 | 93 | 58 | 66 | 63 | 89 | 57 | 62 | 57 | 55 | 60 | 56 | 56 | 55 | 0 | 19 | 67 | 21 | 800,000$/1yrs | |||
Jakub Brabenec (R) | 0 | C | 100.00 | 59 | 38 | 92 | 57 | 72 | 63 | 86 | 58 | 64 | 57 | 55 | 61 | 56 | 57 | 57 | 0 | 42 | 67 | 22 | ||||
Noel Nordh (R) | 0 | LW | 100.00 | 61 | 39 | 88 | 58 | 80 | 63 | 71 | 56 | 45 | 58 | 54 | 59 | 56 | 54 | 53 | 0 | 20 | 66 | 21 | ||||
David Edstrom (R) | 0 | C | 100.00 | 65 | 39 | 83 | 58 | 79 | 62 | 71 | 56 | 65 | 54 | 57 | 59 | 55 | 54 | 52 | 0 | 20 | 66 | 21 | ||||
Blake Biondi (R) | 0 | C | 100.00 | 61 | 39 | 90 | 53 | 78 | 61 | 71 | 60 | 66 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 20 | 65 | 24 | ||||
Albin Grewe (R) | 0 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 20 | 9 | 25 | 800,000$/2yrs | |||
Taige Harding (R) | 0 | D | 100.00 | 84 | 44 | 51 | 50 | 98 | 62 | 71 | 49 | 30 | 56 | 50 | 63 | 53 | 59 | 54 | 0 | 20 | 66 | 24 | ||||
Victor Mete | 0 | D | 100.00 | 65 | 37 | 82 | 48 | 68 | 63 | 75 | 46 | 30 | 53 | 46 | 65 | 49 | 66 | 64 | 0 | 20 | 65 | 27 | 850,000$/1yrs | |||
Case McCarthy (R) | 0 | D | 100.00 | 57 | 38 | 95 | 46 | 78 | 61 | 69 | 46 | 30 | 52 | 50 | 64 | 51 | 61 | 60 | 0 | 19 | 64 | 25 | 800,000$/1yrs | |||
Adam Jiricek (R) | 0 | D | 100.00 | 58 | 38 | 96 | 53 | 74 | 57 | 74 | 48 | 30 | 53 | 50 | 52 | 52 | 53 | 53 | 0 | 19 | 63 | 20 | 975,000$/1yrs | |||
Axel Andersson | 58 | D | 100.00 | 64 | 38 | 85 | 44 | 70 | 59 | 71 | 43 | 30 | 48 | 46 | 65 | 47 | 62 | 61 | 0 | 20 | 62 | 26 | 800,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Niklas Kokko | 0 | 100.00 | 73 | 76 | 70 | 79 | 69 | 76 | 71 | 73 | 76 | 78 | 73 | 57 | 57 | 0 | 42 | 77 | 22 | 891,666$/1yrs |
Keith Petruzzelli | 0 | 100.00 | 66 | 61 | 66 | 78 | 63 | 74 | 68 | 66 | 74 | 72 | 69 | 69 | 67 | 0 | 28 | 73 | 27 | |
| Scratches | ||||||||||||||||||||
Dylan Wells | 0 | 100.00 | 67 | 55 | 66 | 74 | 66 | 72 | 68 | 67 | 72 | 71 | 69 | 65 | 70 | 0 | 23 | 72 | 28 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Gruden | 68 | 70 | 76 | 68 | 78 | 75 | 58 | USA | 56 | 2 | 500,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Brooks | C | 30 | 0$ | UFA | |||||||
| Adam Jiricek | D | 20 | 975,000$ | 975,000$ | RFA | ||||||
| Adam Sykora | LW/RW | 21 | 800,000$ | 800,000$ | RFA | ||||||
| Albin Grewe | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Axel Andersson | D | 26 | 800,000$ | 800,000$ | |||||||
| Ben Harpur | D | 31 | 800,000$ | 800,000$ | UFA | ||||||
| Blade Jenkins | LW | 25 | 800,000$ | 800,000$ | |||||||
| Blake Biondi | C | 24 | 0$ | ||||||||
| Brooklyn Kalmikov | LW | 25 | 800,000$ | 800,000$ | |||||||
| Caedan Bankier | C | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Cameron Berg | C | 24 | 0$ | ||||||||
| Case McCarthy | D | 25 | 800,000$ | 800,000$ | |||||||
| Connor Mayer | D | 26 | 800,000$ | 800,000$ | |||||||
| Daniil But | LW | 21 | 0$ | RFA | |||||||
| Daniil Gushchin | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| David Edstrom | C | 21 | 0$ | RFA | |||||||
| Dawson Barteaux | D | 26 | 800,000$ | 800,000$ | |||||||
| Dylan Peterson | C/LW/RW | 24 | 850,000$ | 850,000$ | |||||||
| Dylan Wells | G | 28 | 0$ | UFA | |||||||
| Dylan Wells | G | 28 | 0$ | UFA | |||||||
| Emil Andrae | D | 24 | 0$ | ||||||||
| Francesco Pinelli | C | 23 | 0$ | RFA | |||||||
| Gage Goncalves | C | 25 | 900,000$ | 900,000$ | |||||||
| Helge Grans | D | 24 | 787,500$ | 787,500$ | |||||||
| Isak Rosen | RW | 23 | 0$ | RFA | |||||||
| Jakub Brabenec | C | 22 | 0$ | RFA | |||||||
| Keith Petruzzelli | G | 27 | 0$ | UFA | |||||||
| Landon Slaggert | LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Niklas Kokko | G | 22 | 891,666$ | 891,666$ | RFA | ||||||
| Noel Nordh | LW | 21 | 0$ | RFA | |||||||
| Ozzy Wiesblatt | RW | 24 | 800,000$ | 800,000$ | |||||||
| Reid Schaefer | LW | 22 | 886,666$ | 886,666$ | RFA | ||||||
| Ryan Suzuki | C | 25 | 0$ | ||||||||
| Taige Harding | D | 24 | 0$ | ||||||||
| Tye Felhaber | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Victor Mete | D | 27 | 850,000$ | 850,000$ | UFA | ||||||
| Yan Kuznetsov | D | 24 | 850,000$ | 850,000$ |
| Forward Lines | |||||||
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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 | |
|---|---|
| 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 |
| 1,674,084$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Charlotte | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| 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 |
| 1,674,084$ | 1,674,084$ | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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