![]() | Rockford IceHogs 0-0-0, 0pts · 1st in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fraser Minten | 0 | C | 100.00 | 76 | 40 | 86 | 83 | 84 | 84 | 75 | 77 | 72 | 71 | 73 | 77 | 78 | 59 | 50 | 1 | 50 | 73 | 21 | 816,667$/1yrs | |||
Alex Turcotte | 0 | C/LW | 100.00 | 71 | 49 | 85 | 75 | 78 | 81 | 79 | 72 | 74 | 71 | 66 | 70 | 71 | 68 | 58 | 1 | 50 | 70 | 25 | 1,200,000$/2yrs | |||
Fedor Svechkov | 0 | C | 100.00 | 72 | 40 | 86 | 76 | 78 | 80 | 73 | 72 | 65 | 71 | 66 | 69 | 71 | 56 | 50 | 1 | 50 | 69 | 23 | 975,000$/2yrs | |||
Adam Erne | 0 | LW/RW | 100.00 | 77 | 49 | 80 | 68 | 77 | 76 | 77 | 64 | 42 | 59 | 61 | 64 | 65 | 79 | 69 | 1 | 50 | 65 | 31 | 1,200,000$/3yrs | |||
Alex Barré-Boulet | 0 | C/RW | 100.00 | 62 | 43 | 70 | 73 | 63 | 73 | 69 | 68 | 62 | 65 | 63 | 66 | 68 | 64 | 52 | 1 | 50 | 65 | 29 | 1,250,000$/3yrs | |||
Axel Jonsson-Fjällby | 0 | C/LW | 100.00 | 63 | 41 | 77 | 68 | 69 | 72 | 69 | 65 | 43 | 62 | 59 | 62 | 64 | 60 | 50 | 1 | 50 | 62 | 28 | 1,200,000$/3yrs | |||
Andrew Agozzino | 0 | C/LW | 100.00 | 52 | 43 | 69 | 67 | 58 | 71 | 71 | 65 | 62 | 63 | 61 | 55 | 64 | 73 | 66 | 1 | 50 | 62 | 35 | 1,500,000$/1yrs | |||
Ivan Ivan | 0 | C/LW | 100.00 | 60 | 43 | 71 | 69 | 69 | 70 | 63 | 65 | 48 | 61 | 59 | 60 | 64 | 51 | 50 | 1 | 50 | 61 | 23 | 1,250,000$/1yrs | |||
Tristen Nielsen | 0 | C/LW/RW | 100.00 | 58 | 47 | 63 | 69 | 61 | 68 | 66 | 66 | 44 | 61 | 62 | 58 | 66 | 54 | 50 | 1 | 50 | 61 | 26 | 1,200,000$/3yrs | |||
Luke Toporowski | 0 | RW | 100.00 | 58 | 44 | 65 | 66 | 60 | 64 | 62 | 61 | 42 | 56 | 55 | 58 | 61 | 53 | 50 | 1 | 50 | 58 | 25 | 1,200,000$/3yrs | |||
Nikolas Brouillard | 0 | D | 100.00 | 53 | 48 | 62 | 71 | 55 | 72 | 71 | 65 | 40 | 63 | 55 | 67 | 64 | 65 | 55 | 1 | 50 | 63 | 31 | 975,000$/1yrs | |||
Luke Krys | 0 | D | 100.00 | 61 | 43 | 68 | 68 | 63 | 64 | 62 | 61 | 40 | 55 | 56 | 65 | 62 | 53 | 50 | 1 | 50 | 61 | 25 | 1,000,000$/3yrs | |||
Nate Clurman | 0 | D | 100.00 | 61 | 42 | 71 | 65 | 65 | 68 | 66 | 60 | 40 | 54 | 52 | 66 | 59 | 57 | 50 | 1 | 50 | 61 | 28 | 1,300,000$/3yrs | |||
Scott Walford | 0 | D | 100.00 | 54 | 40 | 66 | 57 | 59 | 60 | 59 | 53 | 40 | 50 | 51 | 55 | 53 | 54 | 50 | 1 | 50 | 55 | 27 | 1,000,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Easton Cowan (R) | 0 | LW/RW | 100.00 | 71 | 53 | 67 | 75 | 78 | 83 | 71 | 76 | 42 | 74 | 70 | 65 | 74 | 54 | 50 | 1 | 50 | 69 | 21 | ||||
John Beecher | 0 | C/LW | 100.00 | 70 | 50 | 73 | 74 | 88 | 82 | 72 | 69 | 73 | 65 | 64 | 72 | 69 | 59 | 50 | 1 | 50 | 68 | 25 | ||||
Gavin Brindley | 0 | C/RW | 100.00 | 64 | 41 | 84 | 76 | 68 | 72 | 69 | 68 | 47 | 63 | 62 | 62 | 69 | 56 | 50 | 1 | 50 | 64 | 21 | 975,000$/1yrs | |||
Zakhar Bardakov (R) | 0 | C/LW | 100.00 | 73 | 40 | 85 | 70 | 77 | 70 | 69 | 65 | 63 | 65 | 58 | 66 | 64 | 53 | 50 | 1 | 50 | 64 | 25 | ||||
Trevor Connelly (R) | 0 | LW | 100.00 | 60 | 41 | 70 | 69 | 61 | 60 | 60 | 64 | 43 | 64 | 60 | 60 | 63 | 50 | 50 | 1 | 50 | 61 | 20 | ||||
Brayden Yager (R) | 0 | C | 100.00 | 60 | 41 | 72 | 66 | 60 | 62 | 61 | 62 | 59 | 62 | 60 | 60 | 62 | 50 | 50 | 1 | 50 | 60 | 21 | ||||
Rasmus Kumpulainen (R) | 0 | C | 100.00 | 62 | 42 | 69 | 60 | 66 | 60 | 60 | 60 | 41 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 20 | ||||
Chase Bradley | 0 | LW | 100.00 | 61 | 44 | 64 | 66 | 62 | 64 | 62 | 59 | 42 | 52 | 55 | 60 | 60 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/3yrs | |||
Nikita Prishchepov | 0 | C | 100.00 | 62 | 42 | 67 | 65 | 64 | 61 | 59 | 58 | 42 | 56 | 53 | 60 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 1,200,000$/3yrs | |||
Egor Afanasyev (R) | 0 | LW | 100.00 | 58 | 44 | 59 | 60 | 65 | 63 | 61 | 62 | 42 | 59 | 54 | 55 | 58 | 52 | 50 | 1 | 50 | 57 | 25 | ||||
Maros Jedlicka | 0 | C/LW/RW | 100.00 | 63 | 42 | 68 | 63 | 66 | 62 | 59 | 56 | 41 | 52 | 52 | 57 | 57 | 51 | 50 | 1 | 50 | 56 | 23 | 1,000,000$/3yrs | |||
Grigori Denisenko | 0 | LW | 100.00 | 52 | 46 | 54 | 59 | 57 | 61 | 59 | 59 | 42 | 57 | 54 | 51 | 57 | 53 | 50 | 1 | 50 | 55 | 26 | ||||
Kyle Jackson (R) | 0 | C/LW/RW | 100.00 | 56 | 40 | 66 | 59 | 61 | 56 | 54 | 52 | 41 | 51 | 51 | 51 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | ||||
Ole Julian Bjørgvik-Holm | 0 | D | 100.00 | 61 | 43 | 61 | 62 | 64 | 62 | 61 | 58 | 40 | 54 | 55 | 61 | 58 | 51 | 50 | 1 | 50 | 58 | 24 | 1,200,000$/3yrs | |||
Chris Ortiz | 0 | D | 100.00 | 57 | 40 | 71 | 65 | 60 | 63 | 60 | 54 | 40 | 52 | 50 | 62 | 56 | 52 | 50 | 1 | 50 | 58 | 25 | 975,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid | 0 | 100.00 | 79 | 79 | 80 | 77 | 82 | 79 | 75 | 77 | 78 | 81 | 70 | 64 | 58 | 1 | 50 | 71 | 26 | 1,500,000$/3yrs |
Kevin Mandolese | 0 | 100.00 | 67 | 58 | 57 | 68 | 64 | 65 | 66 | 64 | 65 | 63 | 51 | 53 | 50 | 1 | 50 | 59 | 25 | 1,800,000$/3yrs |
| Scratches | ||||||||||||||||||||
Georgi Romanov | 0 | 100.00 | 69 | 63 | 63 | 67 | 66 | 66 | 67 | 65 | 66 | 66 | 57 | 52 | 50 | 1 | 50 | 60 | 26 | 1,200,000$/1yrs |
Aaron Dell | 0 | 100.00 | 64 | 66 | 61 | 64 | 64 | 64 | 65 | 62 | 64 | 63 | 66 | 75 | 68 | 1 | 50 | 59 | 37 | 2,500,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| David Bell | 69 | 63 | 65 | 69 | 62 | 57 | 1 | CAN | 59 | 3 | 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aaron Dell | G | 37 | 2,500,000$ | 2,500,000$ | UFA | ||||||
| Adam Erne | LW/RW | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Akira Schmid | G | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Alex Barré-Boulet | C/RW | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Alex Turcotte | C/LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
| Andrew Agozzino | C/LW | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Axel Jonsson-Fjällby | C/LW | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Brayden Yager | C | 21 | 918,333$ | RFA | |||||||
| Chase Bradley | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Chris Ortiz | D | 25 | 975,000$ | 975,000$ | |||||||
| Easton Cowan | LW/RW | 21 | 876,167$ | RFA | |||||||
| Egor Afanasyev | LW | 25 | 0$ | ||||||||
| Fedor Svechkov | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Fraser Minten | C | 21 | 816,667$ | 975,000$ | RFA | ||||||
| Gavin Brindley | C/RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Georgi Romanov | G | 26 | 1,200,000$ | 1,200,000$ | |||||||
| Grigori Denisenko | LW | 26 | 0$ | ||||||||
| Ivan Ivan | C/LW | 23 | 1,250,000$ | 1,250,000$ | RFA | ||||||
| John Beecher | C/LW | 25 | 0$ | ||||||||
| Kevin Mandolese | G | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
| Kyle Jackson | C/LW/RW | 23 | 0$ | RFA | |||||||
| Luke Krys | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Luke Toporowski | RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Maros Jedlicka | C/LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Nate Clurman | D | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | ||||
| Nikita Prishchepov | C | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
| Nikolas Brouillard | D | 31 | 975,000$ | 975,000$ | UFA | ||||||
| Ole Julian Bjørgvik-Holm | D | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
| Rasmus Kumpulainen | C | 20 | 888,333$ | RFA | |||||||
| Scott Walford | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Trevor Connelly | LW | 20 | 975,000$ | RFA | |||||||
| Tristen Nielsen | C/LW/RW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Zakhar Bardakov | C/LW | 25 | 0$ |
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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 | 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 |
| 2,957,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Rockford | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 32$ | 17$ | $ | $ | $ |
| 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,957,500$ | 2,957,500$ | 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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