Full Scoreboard »» |
Hartford Wolf Pack 0-0-0, 0pts · 5th in Conference 1 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Logan Brown | 0 | C/LW | 100.00 | 63 | 43 | 81 | 70 | 90 | 80 | 76 | 69 | 61 | 65 | 63 | 65 | 67 | 74 | 64 | 1 | 50 | 67 | 25 | 1,280,000$/3yrs | |||
Mason Morelli | 0 | LW | 100.00 | 64 | 54 | 61 | 69 | 64 | 69 | 68 | 64 | 43 | 63 | 56 | 66 | 63 | 55 | 50 | 1 | 50 | 62 | 27 | 975,000$/2yrs | |||
Oskar Back | 0 | C/RW | 100.00 | 68 | 45 | 74 | 66 | 68 | 64 | 63 | 61 | 57 | 62 | 53 | 66 | 60 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
Henry Bowlby | 0 | C | 100.00 | 61 | 46 | 64 | 68 | 64 | 66 | 66 | 62 | 42 | 59 | 57 | 62 | 62 | 54 | 50 | 1 | 50 | 60 | 26 | 1,100,000$/3yrs | |||
Dominik Shine | 0 | RW | 100.00 | 53 | 61 | 60 | 67 | 60 | 70 | 70 | 62 | 42 | 57 | 58 | 53 | 62 | 64 | 54 | 1 | 50 | 59 | 30 | 1,100,000$/1yrs | |||
Lucas Edmonds (R) | 0 | LW/RW | 100.00 | 60 | 40 | 70 | 69 | 59 | 61 | 61 | 61 | 41 | 58 | 59 | 60 | 62 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/2yrs | |||
Taylor Ward | 0 | RW | 100.00 | 58 | 52 | 62 | 60 | 66 | 65 | 64 | 60 | 41 | 59 | 53 | 53 | 58 | 53 | 50 | 1 | 50 | 57 | 25 | 1,100,000$/3yrs | |||
Oskar Olausson (R) | 0 | RW | 100.00 | 59 | 40 | 67 | 65 | 62 | 57 | 57 | 62 | 41 | 56 | 57 | 54 | 61 | 50 | 50 | 1 | 50 | 57 | 20 | 975,000$/2yrs | |||
Viktor Lodin | 0 | C/LW | 100.00 | 60 | 45 | 63 | 64 | 63 | 61 | 59 | 57 | 41 | 53 | 53 | 55 | 58 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
Jami Krannila | 0 | C | 100.00 | 56 | 40 | 68 | 66 | 57 | 59 | 57 | 55 | 47 | 53 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 950,000$/1yrs | |||
Michael Milne (R) | 0 | LW | 100.00 | 60 | 40 | 71 | 64 | 62 | 57 | 57 | 59 | 40 | 54 | 55 | 54 | 59 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/2yrs | |||
Mark Friedman | 0 | D | 100.00 | 68 | 54 | 75 | 74 | 75 | 84 | 74 | 69 | 40 | 63 | 62 | 69 | 68 | 69 | 59 | 1 | 50 | 68 | 27 | 1,425,000$/3yrs | |||
Thomas Harley | 0 | D | 100.00 | 67 | 43 | 75 | 71 | 74 | 67 | 62 | 67 | 40 | 63 | 60 | 69 | 66 | 51 | 50 | 1 | 50 | 65 | 21 | 1,275,000$/2yrs | |||
Adam Clendening | 0 | D | 100.00 | 54 | 48 | 61 | 68 | 62 | 70 | 70 | 66 | 40 | 64 | 54 | 66 | 62 | 64 | 56 | 1 | 50 | 63 | 30 | ||||
Zac Jones (C) | 0 | D | 100.00 | 60 | 44 | 66 | 72 | 58 | 62 | 61 | 64 | 40 | 62 | 58 | 68 | 65 | 50 | 50 | 1 | 50 | 62 | 22 | 975,000$/2yrs | |||
Jared McIsaac | 0 | D | 100.00 | 58 | 44 | 68 | 68 | 65 | 64 | 63 | 63 | 40 | 61 | 54 | 61 | 61 | 51 | 50 | 1 | 50 | 60 | 23 | 1,155,000$/2yrs | |||
Jayden Struble (R) | 0 | D | 100.00 | 62 | 40 | 64 | 66 | 63 | 58 | 57 | 56 | 40 | 54 | 53 | 63 | 58 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/2yrs | |||
Mason Lohrei (R) | 0 | D | 100.00 | 62 | 40 | 68 | 63 | 65 | 59 | 57 | 55 | 40 | 54 | 53 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Kirill Marchenko | 0 | RW | 100.00 | 68 | 44 | 80 | 75 | 79 | 80 | 70 | 76 | 51 | 63 | 75 | 66 | 75 | 53 | 50 | 1 | 50 | 68 | 22 | 975,000$/2yrs | |||
Logan Hutsko | 0 | C | 100.00 | 58 | 44 | 71 | 71 | 57 | 65 | 64 | 62 | 42 | 62 | 54 | 62 | 63 | 52 | 50 | 1 | 50 | 60 | 24 | 975,000$/1yrs | |||
Brian Pinho | 0 | C/RW | 100.00 | 55 | 44 | 69 | 63 | 62 | 67 | 66 | 61 | 41 | 59 | 55 | 53 | 60 | 57 | 50 | 1 | 50 | 58 | 28 | 1,300,000$/2yrs | |||
Lukas Svejkovsky (R) | 0 | C | 100.00 | 55 | 40 | 70 | 66 | 57 | 60 | 60 | 60 | 41 | 58 | 54 | 53 | 60 | 50 | 50 | 1 | 50 | 57 | 21 | 1,250,000$/3yrs | |||
Ryder Korczak (R) | 0 | C | 100.00 | 59 | 40 | 68 | 64 | 59 | 54 | 53 | 54 | 47 | 53 | 53 | 54 | 57 | 50 | 50 | 1 | 50 | 55 | 20 | 975,000$/2yrs | |||
Raivis Ansons (R) | 0 | LW | 100.00 | 3 | 44 | 67 | 61 | 64 | 60 | 60 | 57 | 40 | 54 | 54 | 54 | 57 | 50 | 50 | 1 | 50 | 54 | 21 | 975,000$/2yrs | |||
Gustav Lindstrom | 0 | D | 100.00 | 65 | 47 | 75 | 74 | 79 | 84 | 75 | 70 | 40 | 69 | 62 | 66 | 69 | 64 | 54 | 1 | 50 | 68 | 24 | 1,565,000$/3yrs | |||
Dysin Mayo | 0 | D | 100.00 | 60 | 43 | 70 | 69 | 68 | 73 | 67 | 65 | 40 | 58 | 58 | 65 | 64 | 54 | 50 | 1 | 50 | 63 | 26 | 1,250,000$/1yrs | |||
Jon Lizotte | 0 | D | 100.00 | 61 | 45 | 68 | 61 | 68 | 68 | 68 | 60 | 40 | 54 | 52 | 62 | 58 | 57 | 50 | 1 | 50 | 60 | 28 | 1,230,000$/2yrs | |||
Oskari Laaksonen | 0 | D | 100.00 | 57 | 45 | 69 | 71 | 60 | 61 | 61 | 60 | 40 | 57 | 53 | 64 | 61 | 51 | 50 | 1 | 50 | 60 | 23 | 995,000$/2yrs | |||
Patrick Holway | 0 | D | 100.00 | 63 | 55 | 64 | 58 | 72 | 65 | 63 | 57 | 40 | 52 | 51 | 60 | 55 | 54 | 50 | 1 | 50 | 59 | 26 | 975,000$/1yrs | |||
Donovan Sebrango | 0 | D | 100.00 | 60 | 48 | 70 | 66 | 65 | 59 | 57 | 58 | 40 | 51 | 53 | 59 | 59 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/2yrs | |||
Daniil Chayka (R) | 0 | D | 100.00 | 58 | 40 | 71 | 62 | 64 | 57 | 57 | 59 | 40 | 54 | 54 | 54 | 59 | 50 | 50 | 1 | 50 | 57 | 20 | 975,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon | 0 | 100.00 | 81 | 74 | 73 | 77 | 76 | 77 | 78 | 78 | 78 | 77 | 76 | 71 | 64 | 1 | 50 | 71 | 30 | 2,450,000$/2yrs |
Spencer Martin | 0 | 100.00 | 79 | 78 | 79 | 76 | 81 | 76 | 73 | 73 | 75 | 80 | 74 | 71 | 65 | 1 | 50 | 70 | 28 | 4,500,000$/2yrs |
Scratches | ||||||||||||||||||||
Isaac Poulter | 0 | 100.00 | 65 | 57 | 57 | 62 | 62 | 62 | 63 | 60 | 63 | 61 | 54 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 81 | 85 | 89 | 82 | 91 | 84 | 55 | CAN | 63 | 2 | 700,000$ |
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 | MP | 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 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening | D | 30 | 0$ | UFA | |||||||
Alex Lyon | G | 30 | 2,450,000$ | 2,450,000$ | 2,450,000$ | UFA | |||||
Brian Pinho | C/RW | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Daniil Chayka | D | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Dominik Shine | RW | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Donovan Sebrango | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Dysin Mayo | D | 26 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Gustav Lindstrom | D | 24 | 1,565,000$ | 1,565,000$ | 1,565,000$ | 1,565,000$ | UFA | ||||
Henry Bowlby | C | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Isaac Poulter | G | 21 | 975,000$ | 975,000$ | RFA | ||||||
Jami Krannila | C | 22 | 950,000$ | 950,000$ | RFA | ||||||
Jared McIsaac | D | 23 | 1,155,000$ | 1,155,000$ | 1,155,000$ | RFA | |||||
Jayden Struble | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jon Lizotte | D | 28 | 1,230,000$ | 1,230,000$ | 1,230,000$ | UFA | |||||
Kirill Marchenko | RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Logan Brown | C/LW | 25 | 1,280,000$ | 1,280,000$ | 1,280,000$ | 1,280,000$ | UFA | ||||
Logan Hutsko | C | 24 | 975,000$ | 975,000$ | RFA | ||||||
Lucas Edmonds | LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Lukas Svejkovsky | C | 21 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | ||||
Mark Friedman | D | 27 | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | UFA | ||||
Mason Lohrei | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Mason Morelli | LW | 27 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Michael Milne | LW | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Oskar Back | C/RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Oskar Olausson | RW | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Oskari Laaksonen | D | 23 | 995,000$ | 995,000$ | 995,000$ | RFA | |||||
Patrick Holway | D | 26 | 975,000$ | 975,000$ | UFA | ||||||
Raivis Ansons | LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ryder Korczak | C | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Spencer Martin | G | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Taylor Ward | RW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Thomas Harley | D | 21 | 1,275,000$ | 1,275,000$ | 1,275,000$ | RFA | |||||
Viktor Lodin | C/LW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Zac Jones | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,050,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Hartford | |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
4,050,000$ | 4,050,000$ | 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 |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|