|
|
Full Scoreboard »» |
Bakersfield Condors Team Overall:56 0-0-0, 0pts · 8th in Conférence EST |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 28 | 64 | 34 | 86 | 75 | 69 | 86 | 89 | 73 | 78 | 72 | 71 | 63 | 74 | 72 | 73 | 0 | 40 | 74 | 100.00 | 2,000,000$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 22 | 83 | 41 | 69 | 66 | 72 | 79 | 88 | 64 | 59 | 62 | 68 | 71 | 64 | 63 | 65 | 0 | 40 | 71 | 100.00 | 726,667$/2yrs | ||
![]() | 0 | C | 100.00 | 22 | 59 | 36 | 87 | 71 | 66 | 80 | 86 | 69 | 80 | 68 | 62 | 66 | 71 | 63 | 67 | 0 | 40 | 70 | 100.00 | 863,333$/1yrs | ||
![]() | 0 | C | 100.00 | 26 | 67 | 38 | 93 | 64 | 77 | 76 | 75 | 63 | 79 | 62 | 64 | 65 | 62 | 67 | 68 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 23 | 63 | 39 | 86 | 63 | 74 | 80 | 79 | 65 | 61 | 64 | 65 | 68 | 64 | 65 | 67 | 0 | 40 | 69 | 100.00 | 793,750$/3yrs | ||
![]() | 0 | C | 100.00 | 29 | 63 | 36 | 92 | 65 | 70 | 84 | 71 | 65 | 77 | 67 | 63 | 62 | 65 | 70 | 72 | 0 | 40 | 69 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 21 | 62 | 37 | 84 | 69 | 71 | 89 | 85 | 68 | 73 | 67 | 62 | 56 | 69 | 62 | 64 | 0 | 40 | 69 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 30 | 69 | 37 | 85 | 64 | 74 | 78 | 71 | 61 | 69 | 62 | 58 | 62 | 64 | 71 | 73 | 0 | 40 | 68 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 20 | 65 | 37 | 93 | 66 | 76 | 83 | 68 | 64 | 53 | 59 | 63 | 56 | 64 | 61 | 63 | 0 | 40 | 68 | 100.00 | 875,000$/3yrs | ||
![]() | 0 | C/RW | 100.00 | 27 | 62 | 41 | 69 | 63 | 71 | 79 | 74 | 61 | 70 | 63 | 62 | 60 | 63 | 68 | 70 | 0 | 40 | 67 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 19 | 56 | 39 | 78 | 66 | 71 | 83 | 79 | 65 | 58 | 62 | 57 | 59 | 64 | 61 | 63 | 0 | 40 | 67 | 100.00 | 894,167$/3yrs | ||
![]() | 0 | C/LW | 100.00 | 21 | 63 | 35 | 92 | 56 | 63 | 81 | 73 | 57 | 61 | 58 | 59 | 53 | 56 | 62 | 64 | 0 | 40 | 64 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | D | 100.00 | 37 | 58 | 35 | 87 | 67 | 78 | 94 | 92 | 65 | 30 | 76 | 62 | 77 | 52 | 91 | 79 | 0 | 40 | 74 | 100.00 | 5,594,230$/1yrs | ||
![]() | 0 | D | 100.00 | 29 | 84 | 74 | 78 | 60 | 96 | 85 | 88 | 59 | 30 | 66 | 58 | 73 | 45 | 70 | 75 | 0 | 40 | 71 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | D | 100.00 | 23 | 70 | 34 | 88 | 70 | 69 | 85 | 76 | 69 | 30 | 70 | 63 | 59 | 54 | 63 | 65 | 0 | 40 | 70 | 100.00 | 910,833$/1yrs | ||
![]() | 0 | D | 100.00 | 20 | 70 | 39 | 81 | 69 | 83 | 81 | 79 | 68 | 30 | 67 | 59 | 63 | 52 | 61 | 63 | 0 | 40 | 70 | 100.00 | 1,713,333$/3yrs | ||
![]() | 0 | D | 100.00 | 24 | 66 | 35 | 74 | 67 | 77 | 86 | 76 | 64 | 30 | 70 | 57 | 58 | 52 | 64 | 66 | 0 | 40 | 68 | 100.00 | 894,166$/1yrs | ||
![]() | 0 | D | 100.00 | 24 | 56 | 39 | 75 | 64 | 67 | 74 | 79 | 62 | 30 | 66 | 56 | 59 | 50 | 65 | 67 | 0 | 40 | 66 | 100.00 | 800,000$/1yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 24 | 58 | 37 | 87 | 61 | 83 | 78 | 76 | 62 | 77 | 60 | 64 | 57 | 62 | 65 | 67 | 0 | 40 | 67 | 100.00 | 1,491,667$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 23 | 57 | 37 | 88 | 60 | 66 | 90 | 92 | 59 | 62 | 60 | 58 | 55 | 59 | 64 | 66 | 0 | 40 | 66 | 100.00 | 910,000$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 20 | 67 | 38 | 85 | 58 | 77 | 82 | 80 | 56 | 76 | 58 | 59 | 61 | 56 | 61 | 63 | 0 | 40 | 66 | 100.00 | 910,833$/3yrs | ||
![]() | 0 | C | 100.00 | 21 | 58 | 37 | 76 | 59 | 67 | 78 | 87 | 58 | 66 | 57 | 56 | 54 | 59 | 61 | 63 | 0 | 40 | 64 | 100.00 | 910,833$/3yrs | ||
![]() | 0 | C/LW | 100.00 | 22 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 880,000$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 24 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 902,500$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 23 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 894,166$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 27 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 1,775,000$/1yrs | ||
![]() | 0 | LW | 100.00 | 23 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | LW/RW | 100.00 | 21 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 1,775,000$/1yrs | ||
![]() | 0 | D | 100.00 | 21 | 77 | 39 | 82 | 54 | 89 | 68 | 83 | 54 | 30 | 57 | 55 | 59 | 47 | 62 | 64 | 0 | 40 | 65 | 100.00 | 925,000$/2yrs | ||
![]() | 0 | D | 100.00 | 25 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 1,775,000$/1yrs | ||
![]() | 0 | D | 100.00 | 23 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 925,000$/1yrs | ||
TEAM AVERAGE | 100.00 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 26 | 81 | 84 | 88 | 81 | 81 | 80 | 66 | 77 | 0 | 40 | 69 | 700,000$/1yrs | ||||||||
![]() | 0 | 100.00 | 20 | 73 | 76 | 75 | 73 | 73 | 72 | 61 | 65 | 0 | 40 | 64 | 825,000$/3yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 23 | 65 | 71 | 70 | 65 | 65 | 64 | 66 | 71 | 0 | 40 | 61 | 925,000$/3yrs | ||||||||
![]() | 0 | 100.00 | 20 | 65 | 73 | 72 | 65 | 65 | 64 | 61 | 65 | 0 | 40 | 60 | 925,000$/3yrs | ||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Guy Boucher | 77 | 77 | 73 | 70 | 72 | 73 | 1 | CAN | 49 | 1 | 525,000$ |
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 | 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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Mascherin | C/LW | 22 | 880,000$ | 880,000$ | |||||||
Aleksi Saarela | C/LW | 24 | 902,500$ | 902,500$ | |||||||
Alex Belzile | C/RW | 30 | 700,000$ | 700,000$ | |||||||
Cole Fonstad | C/LW | 21 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Cole Schwindt | C/RW | 20 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | |||||
| 0$ | 0$ | |||||||||
| 0$ | 0$ | |||||||||
Evan Rodrigues | C/LW/RW | 28 | 2,000,000$ | 2,000,000$ | |||||||
Filip Chlapik | C/LW | 23 | 894,166$ | 894,166$ | |||||||
Henrik Borgstrom | C/LW/RW | 24 | 1,491,667$ | 1,491,667$ | |||||||
| 0$ | 0$ | |||||||||
| 0$ | 0$ | |||||||||
Jacob Perreault | RW | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Jamieson Rees | C | 21 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | |||||
Jaycob Megna | D | 29 | 700,000$ | 700,000$ | |||||||
Jonatan Berggren | C/LW/RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Joseph Blandisi | C/RW | 27 | 700,000$ | 700,000$ | |||||||
Joseph Duszak | D | 24 | 800,000$ | 800,000$ | |||||||
Josh Mahura | D | 23 | 910,833$ | 910,833$ | |||||||
Kyle Capobianco | D | 24 | 894,166$ | 894,166$ | |||||||
Lukas Vejdemo | C | 26 | 925,000$ | 925,000$ | |||||||
Marian Studenic | RW | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Michael Sgarbossa | C | 29 | 700,000$ | 700,000$ | |||||||
Morgan Frost | C | 22 | 863,333$ | 863,333$ | |||||||
Nikolai Prokhorkin | C/LW/RW | 27 | 1,775,000$ | 1,775,000$ | |||||||
Noel Gunler | RW | 20 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | |||||
Oliwer Kaski | D | 25 | 1,775,000$ | 1,775,000$ | |||||||
Parker Kelly | C/RW | 22 | 726,667$ | 726,667$ | 726,667$ | ||||||
Philip Broberg | D | 20 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | |||||
Ryan Suter | D | 37 | 3,650,000$ | 3,650,000$ | |||||||
Samuel Bolduc | D | 21 | 925,000$ | 925,000$ | 925,000$ | ||||||
Tim Soderlund | LW | 23 | 925,000$ | 925,000$ | |||||||
Vitali Kravtsov | LW/RW | 21 | 1,775,000$ | 1,775,000$ | |||||||
Will Bitten | C/RW | 23 | 910,000$ | 910,000$ | |||||||
Yegor Rykov | D | 23 | 925,000$ | 925,000$ |
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 | 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 |
30,059,164$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Bakersfield | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
30,059,164$ | 32,047,144$ | 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$ | 10 | 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 |
---|---|---|
|
|
|