|  | Orebro HK 0-0-0, 0pts · 14th in Lemieux Conference | 
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Mathieu Olivier | 0 | LW/RW | 100.00 | 83 | 91 | 77 | 68 | 83 | 61 | 99 | 65 | 57 | 65 | 71 | 73 | 54 | 61 | 58 | 77 | 75 | 77 | 27 | 675,000$/3yrs | |||
|  Connor Brown | 0 | LW/RW | 100.00 | 64 | 40 | 91 | 74 | 68 | 60 | 99 | 65 | 58 | 66 | 67 | 77 | 54 | 72 | 65 | 75 | 75 | 75 | 30 | 450,000$/2yrs | |||
|  Tanner Pearson | 0 | LW/RW | 100.00 | 74 | 40 | 93 | 72 | 76 | 54 | 94 | 64 | 54 | 65 | 67 | 64 | 56 | 75 | 60 | 73 | 75 | 73 | 31 | 825,000$/2yrs | |||
|  Mattias Janmark | 26 | C/LW/RW | 100.00 | 69 | 40 | 87 | 75 | 77 | 58 | 97 | 61 | 64 | 66 | 59 | 72 | 54 | 73 | 59 | 72 | 75 | 72 | 31 | 500,000$/1yrs | |||
|  Tanner Jeannot | 0 | LW/RW | 100.00 | 78 | 81 | 81 | 69 | 81 | 52 | 81 | 60 | 56 | 62 | 64 | 70 | 54 | 63 | 58 | 69 | 75 | 69 | 27 | 675,000$/4yrs | |||
|  William Carrier | 0 | LW | 100.00 | 90 | 40 | 84 | 71 | 81 | 54 | 52 | 60 | 55 | 64 | 62 | 68 | 54 | 67 | 59 | 66 | 75 | 66 | 29 | 450,000$/2yrs | |||
|  Vladislav Firstov (R) | 0 | LW | 100.00 | 65 | 65 | 82 | 63 | 65 | 56 | 83 | 58 | 50 | 54 | 61 | 59 | 58 | 38 | 38 | 65 | 75 | 65 | 23 | 925,000$/1yrs | |||
|  Jack Devine (R) | 0 | RW | 100.00 | 65 | 65 | 84 | 65 | 65 | 57 | 87 | 60 | 57 | 57 | 57 | 55 | 55 | 34 | 34 | 65 | 75 | 65 | 20 | 475,000$/1yrs | |||
|  Ryder Rolston (R) | 0 | C/LW/RW | 100.00 | 65 | 64 | 92 | 63 | 64 | 55 | 78 | 56 | 34 | 48 | 59 | 58 | 55 | 37 | 37 | 62 | 75 | 62 | 22 | 895,000$/2yrs | |||
|  Liam O'Brien | 0 | C/LW | 100.00 | 85 | 96 | 84 | 68 | 79 | 48 | 34 | 54 | 52 | 60 | 56 | 65 | 54 | 61 | 58 | 59 | 75 | 59 | 29 | 450,000$/2yrs | |||
|  Brian Dumoulin | 0 | D | 100.00 | 68 | 40 | 90 | 74 | 81 | 73 | 97 | 60 | 40 | 67 | 58 | 84 | 54 | 75 | 68 | 80 | 75 | 80 | 32 | 800,000$/2yrs | |||
|  Hunter McDonald (R) | 0 | D | 100.00 | 65 | 76 | 66 | 64 | 76 | 53 | 73 | 47 | 25 | 38 | 41 | 66 | 39 | 36 | 36 | 59 | 75 | 59 | 22 | 450,000$/1yrs | |||
|  Mikko Kokkonen (R) | 0 | D | 100.00 | 65 | 72 | 85 | 65 | 73 | 53 | 78 | 47 | 25 | 38 | 41 | 61 | 39 | 40 | 40 | 59 | 75 | 59 | 23 | 846,667$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
|  Oskar Steen | 0 | C/RW | 100.00 | 65 | 67 | 81 | 67 | 67 | 58 | 73 | 64 | 68 | 60 | 65 | 63 | 62 | 45 | 45 | 66 | 75 | 66 | 26 | ||||
|  Ryan Suzuki (R) | 0 | C/LW | 100.00 | 66 | 69 | 88 | 66 | 69 | 56 | 80 | 62 | 73 | 60 | 61 | 46 | 58 | 38 | 38 | 65 | 75 | 65 | 23 | ||||
|  Lucas Mercuri (R) | 0 | C/RW | 100.00 | 66 | 71 | 84 | 64 | 71 | 55 | 79 | 51 | 45 | 46 | 49 | 57 | 46 | 33 | 33 | 60 | 75 | 60 | 22 | ||||
|  Jared Wright (R) | 0 | RW | 100.00 | 66 | 69 | 91 | 63 | 69 | 51 | 87 | 49 | 36 | 44 | 47 | 57 | 45 | 34 | 34 | 60 | 75 | 60 | 21 | 450,000$/1yrs | |||
|  Josh Bloom (R) | 0 | LW | 100.00 | 66 | 69 | 89 | 63 | 69 | 53 | 63 | 55 | 43 | 47 | 58 | 49 | 55 | 39 | 39 | 59 | 75 | 59 | 21 | ||||
|  Fyodor Svechkov (R) | 0 | C/LW | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 63 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 57 | 75 | 57 | 21 | ||||
|  Cole Spicer (R) | 0 | C/LW | 100.00 | 66 | 65 | 93 | 63 | 65 | 52 | 64 | 50 | 32 | 46 | 48 | 47 | 46 | 33 | 33 | 57 | 75 | 57 | 20 | 500,000$/1yrs | |||
|  Pasquale Zito (R) | 0 | C/LW/RW | 100.00 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 11 | 75 | 11 | 21 | ||||
|  Alec Regula (R) | 0 | D | 100.00 | 65 | 77 | 79 | 66 | 77 | 57 | 58 | 52 | 25 | 46 | 42 | 77 | 39 | 41 | 41 | 62 | 75 | 62 | 23 | ||||
|  Layton Ahac (R) | 0 | D | 100.00 | 65 | 75 | 84 | 64 | 75 | 53 | 69 | 49 | 25 | 42 | 41 | 66 | 39 | 35 | 35 | 60 | 75 | 60 | 23 | ||||
|  Scott Morrow (R) | 0 | D | 100.00 | 56 | 54 | 74 | 71 | 78 | 66 | 17 | 64 | 41 | 66 | 60 | 64 | 55 | 58 | 56 | 59 | 75 | 59 | 21 | ||||
|  Luke Prokop (R) | 0 | D | 100.00 | 65 | 79 | 81 | 65 | 79 | 55 | 67 | 46 | 25 | 35 | 40 | 65 | 38 | 41 | 41 | 58 | 75 | 58 | 22 | 793,333$/1yrs | |||
|  Otto Salin (R) | 0 | D | 100.00 | 65 | 69 | 88 | 66 | 69 | 56 | 71 | 51 | 25 | 43 | 42 | 50 | 40 | 35 | 35 | 57 | 75 | 57 | 20 | 550,000$/1yrs | |||
|  Tyrel Bauer (R) | 0 | D | 100.00 | 65 | 76 | 61 | 64 | 76 | 49 | 78 | 43 | 25 | 30 | 39 | 48 | 37 | 39 | 39 | 55 | 75 | 55 | 22 | ||||
|  Dru Krebs (R) | 0 | D | 100.00 | 65 | 67 | 82 | 64 | 68 | 53 | 83 | 44 | 25 | 33 | 40 | 42 | 38 | 37 | 37 | 55 | 75 | 55 | 21 | ||||
|  Jakub Dvorak (R) | 0 | D | 100.00 | 65 | 77 | 80 | 63 | 77 | 51 | 63 | 45 | 25 | 34 | 39 | 55 | 37 | 33 | 33 | 55 | 75 | 55 | 19 | 625,000$/1yrs | |||
|  Joaquim Lemay (R) | 0 | D | 100.00 | 65 | 67 | 71 | 64 | 68 | 53 | 77 | 46 | 25 | 35 | 41 | 40 | 39 | 33 | 33 | 54 | 75 | 54 | 21 | ||||
| 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 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Spencer Martin | 0 | 100.00 | 70 | 48 | 69 | 70 | 67 | 72 | 67 | 68 | 62 | 65 | 78 | 70 | 61 | 63 | 75 | 63 | 29 | 450,000$/1yrs | 
| Scratches | ||||||||||||||||||||
|  Lars Johansson | 0 | 100.00 | 66 | 54 | 63 | 59 | 66 | 73 | 66 | 66 | 66 | 66 | 59 | 65 | 65 | 60 | 75 | 60 | 36 | |
|  Simon Hrubec | 0 | 100.00 | 66 | 55 | 64 | 59 | 66 | 73 | 66 | 66 | 66 | 66 | 59 | 66 | 66 | 60 | 75 | 60 | 33 | |
|  Remi Poirier | 0 | 100.00 | 55 | 52 | 62 | 62 | 55 | 62 | 55 | 55 | 55 | 55 | 48 | 42 | 42 | 52 | 75 | 52 | 22 | |
|  Artur Akhtyamov | 0 | 100.00 | 50 | 50 | 60 | 61 | 50 | 57 | 50 | 50 | 50 | 50 | 43 | 45 | 45 | 49 | 75 | 49 | 22 | 851,667$/2yrs | 
| 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 | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alec Regula | D | 23 | 0$ | RFA | |||||||
| Artur Akhtyamov | G | 22 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
| Brian Dumoulin | D | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cole Spicer | C/LW | 20 | 500,000$ | 500,000$ | |||||||
| Connor Brown | LW/RW | 30 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Dru Krebs | D | 21 | 0$ | ||||||||
| Fyodor Svechkov | C/LW | 21 | 0$ | ||||||||
| Hunter McDonald | D | 22 | 450,000$ | 450,000$ | |||||||
| Jack Devine | RW | 20 | 475,000$ | 475,000$ | |||||||
| Jakub Dvorak | D | 19 | 625,000$ | 625,000$ | |||||||
| Jared Wright | RW | 21 | 450,000$ | 450,000$ | |||||||
| Joaquim Lemay | D | 21 | 0$ | ||||||||
| Josh Bloom | LW | 21 | 0$ | ||||||||
| Lars Johansson | G | 36 | 0$ | UFA | |||||||
| Layton Ahac | D | 23 | 0$ | RFA | |||||||
| Liam O'Brien | C/LW | 29 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Lucas Mercuri | C/RW | 22 | 0$ | ||||||||
| Luke Prokop | D | 22 | 793,333$ | 793,333$ | |||||||
| Mathieu Olivier | LW/RW | 27 | 675,000$ | 675,000$ | 675,000$ | 675,000$ | |||||
| Mattias Janmark | C/LW/RW | 31 | 500,000$ | 500,000$ | UFA | ||||||
| Mikko Kokkonen | D | 23 | 846,667$ | 846,667$ | RFA | ||||||
| Oskar Steen | C/RW | 26 | 0$ | RFA | |||||||
| Otto Salin | D | 20 | 550,000$ | 550,000$ | |||||||
| Pasquale Zito | C/LW/RW | 21 | 0$ | ||||||||
| Remi Poirier | G | 22 | 0$ | RFA | |||||||
| Ryan Suzuki | C/LW | 23 | 0$ | RFA | |||||||
| Ryder Rolston | C/LW/RW | 22 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
| Scott Morrow | D | 21 | 0$ | ||||||||
| Simon Hrubec | G | 33 | 0$ | UFA | |||||||
| Spencer Martin | G | 29 | 450,000$ | 450,000$ | |||||||
| Tanner Jeannot | LW/RW | 27 | 675,000$ | 675,000$ | 675,000$ | 675,000$ | 675,000$ | ||||
| Tanner Pearson | LW/RW | 31 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
| Tyrel Bauer | D | 22 | 0$ | ||||||||
| Vladislav Firstov | LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
| William Carrier | LW | 29 | 450,000$ | 450,000$ | 450,000$ | 
| 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 | 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 | 
| 1,263,667$ | 0$ | 0$ | 75,000,000$ | 
| Arena | About us | |
|---|---|---|
|   | Name | |
| City | Orebro | |
| 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 | 
| 1,263,667$ | 1,263,667$ | 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
 Rookie Injured
Injured  Cold Streak
Cold Streak  Hot Streak
Hot Streak | Left Wing | Center | Right Wing | 
|---|---|---|
|  |  |  | 
| Defense #1 | Defense #2 | Goalie | 
|---|---|---|
|  |  | 
| 
 | ||||||||||||||||||||||||||||||||