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Full Scoreboard >> |
![]() | Karate Kicking Kangaroos 0-0-0, 0pts · 9th in Orr Conference |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mathew Barzal | 0 | C/RW | 100.00 | 66 | 40 | 92 | 92 | 70 | 75 | 36 | 71 | 61 | 75 | 68 | 70 | 57 | 70 | 59 | 69 | 75 | 69 | 28 | 9,150,000$/7yrs | |||
Jakub Lauko (R) | 0 | C/LW/RW | 100.00 | 77 | 76 | 84 | 74 | 72 | 52 | 68 | 60 | 52 | 62 | 63 | 74 | 54 | 58 | 58 | 67 | 75 | 67 | 25 | 787,500$/1yrs | |||
Jake Richard (R) | 0 | LW/RW | 100.00 | 66 | 69 | 86 | 67 | 69 | 55 | 78 | 60 | 68 | 58 | 58 | 59 | 55 | 35 | 35 | 65 | 75 | 65 | 20 | 625,000$/1yrs | |||
Reid Schaefer (R) | 0 | LW | 100.00 | 66 | 77 | 66 | 67 | 78 | 57 | 67 | 61 | 85 | 57 | 60 | 60 | 57 | 40 | 40 | 64 | 75 | 64 | 21 | 725,000$/1yrs | |||
Brad Lambert (R) | 0 | C/RW | 100.00 | 65 | 66 | 89 | 65 | 66 | 55 | 81 | 58 | 55 | 55 | 57 | 46 | 54 | 37 | 37 | 63 | 75 | 63 | 21 | 725,000$/1yrs | |||
Quinn Finley (R) | 0 | LW | 100.00 | 65 | 65 | 81 | 63 | 65 | 55 | 80 | 58 | 50 | 54 | 61 | 45 | 58 | 36 | 36 | 63 | 75 | 63 | 20 | 575,000$/1yrs | |||
Vasili Ponomaryov (R) | 0 | C/LW | 100.00 | 64 | 64 | 82 | 63 | 64 | 56 | 72 | 58 | 43 | 52 | 61 | 57 | 57 | 40 | 40 | 62 | 75 | 62 | 23 | 795,000$/1yrs | |||
Stiven Sardaryan (R) | 0 | C/RW | 100.00 | 65 | 71 | 69 | 64 | 70 | 55 | 77 | 57 | 64 | 55 | 55 | 49 | 52 | 34 | 34 | 62 | 75 | 62 | 22 | 550,000$/1yrs | |||
Anton Wahlberg (R) | 0 | C/LW | 100.00 | 67 | 71 | 92 | 63 | 71 | 53 | 78 | 55 | 48 | 47 | 58 | 55 | 54 | 34 | 34 | 62 | 75 | 62 | 19 | 725,000$/2yrs | |||
Calum Ritchie (R) | 0 | C | 100.00 | 65 | 71 | 78 | 64 | 71 | 55 | 75 | 56 | 76 | 55 | 53 | 56 | 50 | 40 | 40 | 62 | 75 | 62 | 20 | 875,000$/2yrs | |||
Ethan Miedema (R) | 0 | LW/RW | 100.00 | 66 | 77 | 76 | 64 | 77 | 53 | 87 | 50 | 57 | 45 | 48 | 50 | 46 | 39 | 39 | 61 | 75 | 61 | 20 | 550,000$/1yrs | |||
Antti Saarela (R) | 0 | C/LW/RW | 100.00 | 65 | 65 | 85 | 64 | 65 | 55 | 84 | 55 | 32 | 46 | 57 | 59 | 54 | 37 | 37 | 61 | 75 | 61 | 24 | 896,250$/1yrs | |||
Sam Malinski | 0 | D | 100.00 | 61 | 40 | 89 | 78 | 69 | 64 | 92 | 58 | 40 | 63 | 60 | 81 | 54 | 57 | 58 | 75 | 75 | 75 | 26 | 850,000$/1yrs | |||
Darren Raddysh | 0 | D | 100.00 | 64 | 40 | 89 | 70 | 74 | 67 | 88 | 67 | 40 | 72 | 60 | 74 | 54 | 59 | 58 | 75 | 75 | 75 | 29 | 575,000$/3yrs | |||
Olen Zellweger (R) | 0 | D | 100.00 | 59 | 40 | 86 | 82 | 67 | 71 | 75 | 61 | 40 | 65 | 62 | 71 | 54 | 57 | 58 | 71 | 75 | 71 | 21 | 844,167$/2yrs | |||
David Bernhardt (R) | 0 | D | 100.00 | 65 | 75 | 76 | 67 | 75 | 58 | 88 | 56 | 25 | 46 | 50 | 63 | 48 | 43 | 43 | 65 | 75 | 65 | 27 | 450,000$/1yrs | |||
Frederic Allard (R) | 0 | D | 100.00 | 65 | 67 | 81 | 65 | 67 | 56 | 85 | 52 | 25 | 46 | 43 | 78 | 41 | 48 | 48 | 65 | 75 | 65 | 27 | 450,000$/1yrs | |||
Libor Sulak | 0 | D | 100.00 | 65 | 76 | 77 | 67 | 76 | 59 | 84 | 55 | 25 | 46 | 50 | 72 | 47 | 43 | 43 | 65 | 75 | 65 | 31 | 450,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jake Leschyshyn (R) | 0 | C/LW | 100.00 | 65 | 66 | 89 | 65 | 66 | 54 | 81 | 54 | 34 | 46 | 57 | 44 | 54 | 48 | 48 | 61 | 75 | 61 | 26 | 766,667$/1yrs | |||
Michael Pezzetta | 0 | C/LW | 100.00 | 80 | 75 | 79 | 73 | 80 | 45 | 30 | 54 | 53 | 58 | 56 | 71 | 58 | 60 | 58 | 59 | 75 | 59 | 27 | 812,500$/1yrs | |||
Jackson Hallum (R) | 0 | C/LW/RW | 100.00 | 65 | 68 | 87 | 62 | 68 | 53 | 70 | 49 | 34 | 44 | 48 | 46 | 46 | 33 | 33 | 57 | 75 | 57 | 22 | 475,000$/1yrs | |||
Hayden Stavroff (R) | 0 | C/LW/RW | 100.00 | 65 | 68 | 74 | 63 | 67 | 53 | 60 | 52 | 39 | 47 | 53 | 50 | 50 | 31 | 31 | 57 | 75 | 57 | 20 | 5,200,000$/1yrs | |||
Jacob Perreault (R) | 0 | C/RW | 100.00 | 65 | 67 | 81 | 64 | 67 | 54 | 59 | 51 | 36 | 46 | 48 | 45 | 46 | 37 | 37 | 56 | 75 | 56 | 23 | 863,334$/1yrs | |||
Noah Ostlund (R) | 0 | C/LW | 100.00 | 54 | 55 | 69 | 60 | 64 | 64 | 61 | 62 | 55 | 59 | 62 | 66 | 60 | 55 | 56 | 56 | 75 | 56 | 21 | 875,000$/1yrs | |||
Daniil Orlov (R) | 0 | D | 100.00 | 65 | 72 | 87 | 64 | 73 | 54 | 77 | 49 | 25 | 39 | 42 | 73 | 40 | 40 | 40 | 62 | 75 | 62 | 21 | 550,000$/1yrs | |||
Ryan Chesley (R) | 0 | D | 100.00 | 65 | 69 | 71 | 64 | 70 | 54 | 82 | 48 | 25 | 39 | 42 | 63 | 40 | 33 | 33 | 60 | 75 | 60 | 21 | 725,000$/1yrs | |||
Gavin McCarthy (R) | 0 | D | 100.00 | 65 | 68 | 65 | 64 | 69 | 51 | 82 | 46 | 25 | 36 | 40 | 54 | 38 | 34 | 34 | 57 | 75 | 57 | 20 | 625,000$/1yrs | |||
Yegor Rykov | 0 | D | 100.00 | 65 | 75 | 84 | 64 | 75 | 54 | 63 | 46 | 25 | 35 | 40 | 56 | 38 | 46 | 46 | 56 | 75 | 56 | 28 | 450,000$/1yrs | |||
Samuel Jonsson (R) | 0 | D | 100.00 | 65 | 63 | 87 | 66 | 63 | 58 | 65 | 51 | 25 | 44 | 42 | 42 | 40 | 40 | 40 | 55 | 75 | 55 | 27 | 450,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Damian Clara | 0 | 100.00 | 51 | 71 | 63 | 72 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 34 | 34 | 50 | 75 | 50 | 20 | 625,000$/1yrs |
Trey Augustine | 0 | 100.00 | 51 | 68 | 62 | 59 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 33 | 33 | 49 | 75 | 49 | 20 | 725,000$/2yrs |
| Scratches | ||||||||||||||||||||
Topias Leinonen | 0 | 100.00 | 57 | 63 | 60 | 74 | 57 | 64 | 57 | 57 | 57 | 57 | 50 | 32 | 32 | 54 | 75 | 54 | 21 | 450,000$/1yrs |
Michal Postava | 0 | 100.00 | 56 | 57 | 67 | 62 | 56 | 63 | 56 | 56 | 56 | 56 | 49 | 34 | 34 | 53 | 75 | 53 | 23 | 5,100,000$/1yrs |
Scott Ratzlaff | 0 | 100.00 | 46 | 86 | 70 | 59 | 46 | 53 | 46 | 46 | 46 | 46 | 39 | 35 | 35 | 47 | 75 | 47 | 20 | 550,000$/1yrs |
Calle Clang | 0 | 100.00 | 42 | 69 | 62 | 62 | 42 | 49 | 42 | 42 | 42 | 42 | 35 | 35 | 35 | 45 | 75 | 45 | 23 | 878,333$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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% | 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 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anton Wahlberg | C/LW | 19 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Antti Saarela | C/LW/RW | 24 | 896,250$ | 896,250$ | RFA | ||||||
| Brad Lambert | C/RW | 21 | 725,000$ | 725,000$ | |||||||
| Calle Clang | G | 23 | 878,333$ | 878,333$ | |||||||
| Calum Ritchie | C | 20 | 875,000$ | 875,000$ | 875,000$ | ||||||
| Damian Clara | G | 20 | 625,000$ | 625,000$ | |||||||
| Daniil Orlov | D | 21 | 550,000$ | 550,000$ | |||||||
| Darren Raddysh | D | 29 | 575,000$ | 575,000$ | 575,000$ | 575,000$ | |||||
| David Bernhardt | D | 27 | 450,000$ | 450,000$ | RFA | ||||||
| Ethan Miedema | LW/RW | 20 | 550,000$ | 550,000$ | |||||||
| Frederic Allard | D | 27 | 450,000$ | 450,000$ | RFA | ||||||
| Gavin McCarthy | D | 20 | 625,000$ | 625,000$ | |||||||
| Hayden Stavroff | C/LW/RW | 20 | 5,200,000$ | 5,200,000$ | |||||||
| Jackson Hallum | C/LW/RW | 22 | 475,000$ | 475,000$ | |||||||
| Jacob Perreault | C/RW | 23 | 863,334$ | 863,334$ | |||||||
| Jake Leschyshyn | C/LW | 26 | 766,667$ | 766,667$ | RFA | ||||||
| Jake Richard | LW/RW | 20 | 625,000$ | 625,000$ | |||||||
| Jakub Lauko | C/LW/RW | 25 | 787,500$ | 787,500$ | RFA | ||||||
| Libor Sulak | D | 31 | 450,000$ | 450,000$ | |||||||
| Mathew Barzal | C/RW | 28 | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | UFA |
| Michael Pezzetta | C/LW | 27 | 812,500$ | 812,500$ | RFA | ||||||
| Michal Postava | G | 23 | 5,100,000$ | 5,100,000$ | |||||||
| Noah Ostlund | C/LW | 21 | 875,000$ | 875,000$ | |||||||
| Olen Zellweger | D | 21 | 844,167$ | 844,167$ | 844,167$ | ||||||
| Quinn Finley | LW | 20 | 575,000$ | 575,000$ | |||||||
| Reid Schaefer | LW | 21 | 725,000$ | 725,000$ | |||||||
| Ryan Chesley | D | 21 | 725,000$ | 725,000$ | |||||||
| Sam Malinski | D | 26 | 850,000$ | 850,000$ | RFA | ||||||
| Samuel Jonsson | D | 27 | 450,000$ | 450,000$ | RFA | ||||||
| Scott Ratzlaff | G | 20 | 550,000$ | 550,000$ | |||||||
| Stiven Sardaryan | C/RW | 22 | 550,000$ | 550,000$ | |||||||
| Topias Leinonen | G | 21 | 450,000$ | 450,000$ | |||||||
| Trey Augustine | G | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Vasili Ponomaryov | C/LW | 23 | 795,000$ | 795,000$ | |||||||
| Yegor Rykov | D | 28 | 450,000$ | 450,000$ | RFA |
| Forward Lines | |||||||
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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 | nan | nan | nan | 0 | 0.000 | nan | nan | nan | 0 | 0 | 0 | 0 | 0 | 0 | nan | 0 | 0 | 0 | 0 | nan | nan | nan | nan | nan | nan | 0.00% | nan | nan | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | nan | nan | nan | nan | nan | nan | 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 |
| 3,156,875$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Karate Kicking | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| 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 | |||||
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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 |
| 3,156,875$ | 3,156,875$ | 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$ | 13 | 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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