Roadrunners | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Philippe Langevin | Morale : 50 | Team Overall : 74 |
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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 |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alex Tuch | X | X | 100.00 | 72 | 67 | 94 | 82 | 85 | 84 | 56 | 83 | 50 | 86 | 80 | 86 | 74 | 77 | 81 | 0 | 50 | 77 | 0 | 26 | 5 | 4,750,000$ | |||
2 | Anthony Cirelli | X | X | 100.00 | 78 | 63 | 80 | 85 | 81 | 84 | 86 | 80 | 77 | 80 | 79 | 94 | 58 | 78 | 82 | 0 | 50 | 77 | 0 | 25 | 2 | 4,800,000$ | |||
3 | Anders Lee | X | 100.00 | 82 | 70 | 90 | 81 | 91 | 82 | 85 | 80 | 63 | 74 | 86 | 68 | 63 | 81 | 91 | 0 | 50 | 76 | 0 | 32 | 5 | 7,000,000$ | ||||
4 | Martin Necas | X | 100.00 | 73 | 58 | 91 | 88 | 78 | 82 | 87 | 78 | 57 | 79 | 76 | 73 | 53 | 73 | 77 | 0 | 50 | 73 | 0 | 24 | 1 | 1,462,500$ | ||||
5 | Kirby Dach | X | 100.00 | 73 | 61 | 87 | 84 | 78 | 84 | 79 | 74 | 57 | 75 | 73 | 77 | 51 | 70 | 72 | 0 | 50 | 71 | 0 | 22 | 1 | 3,425,000$ | ||||
6 | Rocco Grimaldi | X | 100.00 | 73 | 55 | 94 | 86 | 76 | 76 | 40 | 61 | 50 | 60 | 62 | 77 | 50 | 71 | 74 | 0 | 50 | 64 | 0 | 29 | 1 | 701,001$ | ||||
7 | Darnell Nurse | X | 100.00 | 94 | 79 | 84 | 86 | 91 | 92 | 83 | 78 | 50 | 81 | 74 | 86 | 52 | 78 | 87 | 0 | 50 | 79 | 0 | 27 | 1 | 5,600,000$ | ||||
8 | P.K. Subban | X | 100.00 | 76 | 73 | 78 | 88 | 88 | 84 | 87 | 71 | 50 | 73 | 69 | 67 | 50 | 89 | 85 | 0 | 50 | 73 | 0 | 33 | 1 | 9,000,000$ | ||||
9 | Bowen Byram (R) | X | 100.00 | 89 | 65 | 91 | 91 | 82 | 84 | 40 | 80 | 50 | 82 | 77 | 71 | 54 | 69 | 73 | 0 | 50 | 73 | 0 | 21 | 2 | 3,425,000$ | ||||
10 | Calvin De Haan | X | 100.00 | 91 | 66 | 90 | 89 | 86 | 84 | 78 | 67 | 50 | 65 | 69 | 73 | 50 | 79 | 78 | 0 | 50 | 72 | 0 | 31 | 1 | 4,550,000$ | ||||
11 | Adam Boqvist | X | 100.00 | 70 | 53 | 95 | 87 | 75 | 83 | 58 | 76 | 50 | 72 | 80 | 62 | 59 | 70 | 73 | 0 | 50 | 70 | 0 | 22 | 1 | 1,775,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Andrew Copp | X | X | 100.00 | 72 | 61 | 95 | 83 | 80 | 85 | 82 | 83 | 79 | 83 | 83 | 86 | 58 | 79 | 79 | 0 | 50 | 77 | 0 | 28 | 0 | 0$ | |||
2 | Nick Schmaltz | X | X | X | 100.00 | 58 | 52 | 95 | 86 | 74 | 84 | 71 | 87 | 64 | 87 | 86 | 76 | 76 | 74 | 80 | 0 | 50 | 77 | 0 | 26 | 0 | 0$ | ||
3 | Mathew Barzal | X | 100.00 | 70 | 55 | 94 | 95 | 78 | 84 | 82 | 83 | 68 | 88 | 78 | 62 | 73 | 77 | 87 | 0 | 50 | 76 | 0 | 25 | 2 | 7,000,000$ | ||||
4 | Brandon Saad | X | X | 100.00 | 59 | 61 | 97 | 86 | 83 | 82 | 87 | 82 | 52 | 79 | 84 | 79 | 59 | 87 | 84 | 0 | 50 | 76 | 0 | 30 | 0 | 0$ | |||
5 | Tanner Pearson | X | 100.00 | 82 | 63 | 90 | 84 | 82 | 82 | 76 | 78 | 50 | 78 | 78 | 80 | 61 | 81 | 80 | 0 | 50 | 74 | 0 | 30 | 0 | 0$ | ||||
6 | Olli Maatta | X | 100.00 | 78 | 61 | 96 | 86 | 81 | 84 | 74 | 66 | 50 | 67 | 65 | 79 | 50 | 82 | 79 | 0 | 50 | 72 | 0 | 28 | 0 | 0$ | ||||
7 | Will Butcher | X | 100.00 | 62 | 52 | 99 | 87 | 75 | 82 | 41 | 69 | 50 | 69 | 68 | 62 | 50 | 72 | 75 | 0 | 50 | 67 | 0 | 28 | 1 | 3,733,333$ | ||||
8 | Libor Hajek (R) | X | 100.00 | 68 | 56 | 90 | 85 | 77 | 79 | 40 | 64 | 50 | 65 | 63 | 68 | 50 | 68 | 69 | 0 | 50 | 65 | 0 | 24 | 0 | 0$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Seth Jarvis (R) | X | 100.00 | 78 | 54 | 94 | 90 | 75 | 79 | 75 | 81 | 54 | 80 | 81 | 72 | 60 | 69 | 72 | 0 | 50 | 74 | 0 | 20 | 3 | 1,425,000$ | ||||
2 | Owen Tippett (R) | X | 100.00 | 87 | 58 | 95 | 86 | 86 | 79 | 69 | 72 | 50 | 70 | 74 | 72 | 52 | 69 | 72 | 0 | 50 | 70 | 0 | 23 | 1 | 1,658,333$ | ||||
3 | Timothy Liljegren (R) | X | 100.00 | 85 | 57 | 95 | 89 | 82 | 82 | 68 | 75 | 50 | 78 | 71 | 73 | 50 | 68 | 72 | 0 | 50 | 73 | 0 | 23 | 1 | 1,325,000$ | ||||
4 | Mattias Samuelsson (R) | X | 100.00 | 92 | 69 | 92 | 83 | 92 | 86 | 48 | 69 | 50 | 75 | 62 | 75 | 50 | 68 | 70 | 0 | 50 | 71 | 0 | 22 | 2 | 925,000$ | ||||
5 | Casey Fitzgerald (R) | X | 100.00 | 92 | 63 | 79 | 84 | 85 | 82 | 40 | 66 | 50 | 70 | 62 | 67 | 50 | 66 | 69 | 0 | 50 | 68 | 0 | 25 | 2 | 750,000$ | ||||
6 | Alexandre Texier (R) | X | 100.00 | 68 | 57 | 93 | 95 | 76 | 80 | 40 | 80 | 50 | 76 | 84 | 81 | 71 | 70 | 73 | 0 | 50 | 74 | 0 | 23 | 0 | 0$ | ||||
7 | Trent Frederic (R) | X | 100.00 | 91 | 68 | 80 | 88 | 88 | 77 | 65 | 72 | 51 | 70 | 73 | 78 | 54 | 69 | 73 | 0 | 50 | 71 | 0 | 24 | 0 | 0$ | ||||
8 | Devin Shore | X | X | 100.00 | 84 | 63 | 95 | 82 | 84 | 75 | 52 | 69 | 64 | 68 | 70 | 78 | 63 | 74 | 75 | 0 | 50 | 70 | 0 | 28 | 0 | 0$ | |||
9 | Drake Caggiula | X | X | 100.00 | 77 | 65 | 95 | 88 | 77 | 80 | 40 | 68 | 50 | 67 | 68 | 79 | 50 | 73 | 74 | 0 | 50 | 68 | 0 | 28 | 0 | 0$ | |||
10 | Greg Mckegg | X | 100.00 | 81 | 60 | 97 | 83 | 81 | 76 | 46 | 66 | 59 | 66 | 66 | 75 | 50 | 72 | 72 | 0 | 50 | 67 | 0 | 30 | 0 | 0$ | ||||
11 | Brett Ritchie | X | 100.00 | 90 | 70 | 85 | 82 | 90 | 75 | 44 | 65 | 50 | 62 | 68 | 66 | 50 | 74 | 73 | 0 | 50 | 66 | 0 | 29 | 0 | 0$ | ||||
12 | Jaret Anderson-Dolan (R) | X | 100.00 | 89 | 59 | 88 | 89 | 82 | 79 | 40 | 61 | 66 | 60 | 62 | 74 | 50 | 68 | 69 | 0 | 50 | 65 | 0 | 23 | 1 | 975,000$ | ||||
13 | Nic Petan (R) | X | 100.00 | 65 | 57 | 95 | 87 | 75 | 76 | 40 | 64 | 50 | 66 | 61 | 70 | 50 | 70 | 71 | 0 | 50 | 64 | 0 | 27 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 75 | 62 | 91 | 86 | 81 | 83 | 70 | 76 | 56 | 76 | 75 | 75 | 57 | 77 | 79 | 0 | 50 | 73 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jack Campbell | 100.00 | 81 | 85 | 83 | 89 | 79 | 80 | 82 | 83 | 80 | 82 | 83 | 72 | 78 | 0 | 50 | 79 | 0 | 31 | 1 | 1,650,000$ | |
Scratches | |||||||||||||||||||||||
1 | Alex Nedeljkovic | 100.00 | 77 | 90 | 89 | 85 | 77 | 80 | 76 | 75 | 74 | 77 | 76 | 70 | 76 | 0 | 50 | 76 | 0 | 27 | 0 | 0$ | |
2 | James Reimer | 100.00 | 75 | 84 | 83 | 89 | 74 | 76 | 77 | 79 | 75 | 74 | 73 | 80 | 82 | 0 | 50 | 76 | 0 | 34 | 0 | 0$ | |
Farm Team | |||||||||||||||||||||||
1 | Jake Oettinger (R) | 100.00 | 78 | 84 | 82 | 94 | 76 | 79 | 83 | 79 | 78 | 79 | 81 | 70 | 75 | 0 | 50 | 77 | 0 | 24 | 1 | 1,387,500$ | |
2 | Michael Hutchinson | 100.00 | 62 | 60 | 50 | 88 | 65 | 64 | 68 | 63 | 67 | 64 | 61 | 71 | 70 | 0 | 50 | 64 | 0 | 32 | 1 | 1,850,000$ | |
TEAM AVERAGE | 100.00 | 78 | 86 | 85 | 88 | 77 | 79 | 78 | 79 | 76 | 78 | 77 | 74 | 79 | 0 | 50 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 86 | 90 | 87 | 87 | 80 | 82 | 99 | CAN | 57 | 3 | 750,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
# | 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 |
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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 |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist | Roadrunners | D | 22 | 2000-08-15 08:18:30 | No | 179 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | No | Link | |||||||||
Alex Nedeljkovic | Roadrunners | G | 27 | 1996-01-07 08:14:08 | No | 203 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | ||||||||||||
Alex Tuch | Roadrunners | LW/RW | 26 | 1996-05-10 06:49:37 | No | 222 Lbs | 6 ft4 | No | No | No | 5 | Pro Only | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | No | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | Link | |||||
Anders Lee | Roadrunners | LW | 32 | 1990-07-03 03:26:19 | No | 231 Lbs | 6 ft3 | No | No | No | 5 | Pro Only | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | No | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | Link | |||||
Andrew Copp | Roadrunners | C/LW | 28 | 1994-07-08 03:26:19 | No | 206 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Anthony Cirelli | Roadrunners | C/RW | 25 | 1997-07-15 10:12:50 | No | 193 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | No | 4,800,000$ | Link | ||||||||
Bowen Byram | Roadrunners | D | 21 | 2001-06-13 14:46:59 | Yes | 190 Lbs | 6 ft1 | No | No | No | 2 | Pro Only | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | No | 3,425,000$ | |||||||||
Brandon Saad | Roadrunners | LW/RW | 30 | 1992-10-27 15:26:19 | No | 202 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Calvin De Haan | Roadrunners | D | 31 | 1991-05-09 09:26:19 | No | 197 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 4,550,000$ | 4,550,000$ | 4,550,000$ | 4,550,000$ | No | Link | |||||||||
Darnell Nurse | Roadrunners | D | 27 | 1995-02-04 09:26:19 | No | 213 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | No | Link | |||||||||
Jack Campbell | Roadrunners | G | 31 | 1992-01-09 17:11:01 | No | 207 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | No | ||||||||||
James Reimer | Roadrunners | G | 34 | 1988-03-15 15:26:20 | No | 205 Lbs | 6 ft3 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | ||||||||||||
Kirby Dach | Roadrunners | C | 22 | 2001-01-21 10:04:38 | No | 197 Lbs | 6 ft4 | No | No | No | 1 | Pro Only | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | No | Link | |||||||||
Libor Hajek | Roadrunners | D | 24 | 1998-02-04 08:37:49 | Yes | 203 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Martin Necas | Roadrunners | C | 24 | 1999-01-15 16:27:03 | No | 189 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,462,500$ | 1,462,500$ | 1,462,500$ | 1,462,500$ | No | Link | |||||||||
Mathew Barzal | Roadrunners | C | 25 | 1997-05-26 07:00:39 | No | 187 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | No | 7,000,000$ | Link | ||||||||
Nick Schmaltz | Roadrunners | C/LW/RW | 26 | 1996-02-23 15:26:19 | No | 177 Lbs | 6 ft0 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Olli Maatta | Roadrunners | D | 28 | 1994-08-22 03:26:19 | No | 206 Lbs | 6 ft2 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
P.K. Subban | Roadrunners | D | 33 | 1989-05-13 21:26:19 | No | 217 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | No | Link | |||||||||
Rocco Grimaldi | Roadrunners | RW | 29 | 1993-02-08 12:58:03 | No | 180 Lbs | 5 ft6 | No | No | No | 1 | Pro & Farm | 701,001$ | 701,001$ | 701,001$ | 701,001$ | No | Link | |||||||||
Tanner Pearson | Roadrunners | LW | 30 | 1992-08-10 15:26:19 | No | 200 Lbs | 6 ft1 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Will Butcher | Roadrunners | D | 28 | 1995-01-06 18:34:43 | No | 190 Lbs | 5 ft10 | No | No | No | 1 | Pro Only | 3,733,333$ | 3,733,333$ | 3,733,333$ | 3,733,333$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 27.41 | 200 Lbs | 6 ft1 | 1.14 | 2,675,992$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
58,871,834$ | 26,975,000$ | 11,750,000$ | 11,750,000$ | 11,750,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anders Lee | Alex Tuch | 40 | 2 | 0 | 3 | |
2 | Martin Necas | Anthony Cirelli | 33 | 1 | 1 | 3 | |
3 | 20 | 1 | 2 | 2 | |||
4 | Kirby Dach | 7 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Darnell Nurse | P.K. Subban | 40 | 1 | 2 | 2 | |
2 | Calvin De Haan | 30 | 1 | 2 | 2 | ||
3 | Adam Boqvist | 20 | 1 | 2 | 2 | ||
4 | Darnell Nurse | P.K. Subban | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anders Lee | Martin Necas | Alex Tuch | 60 | 1 | 1 | 3 |
2 | Anthony Cirelli | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Darnell Nurse | Adam Boqvist | 60 | 1 | 2 | 2 | |
2 | P.K. Subban | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Martin Necas | 60 | 1 | 2 | 2 | |
2 | Anders Lee | Alex Tuch | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Darnell Nurse | P.K. Subban | 60 | 1 | 2 | 2 |
2 | Calvin De Haan | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Darnell Nurse | P.K. Subban | 60 | 1 | 2 | 2 | |
2 | Martin Necas | 40 | 1 | 2 | 2 | Calvin De Haan | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Martin Necas | 60 | 1 | 2 | 2 | |
2 | Anders Lee | Alex Tuch | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Darnell Nurse | P.K. Subban | 60 | 1 | 2 | 2 |
2 | Calvin De Haan | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Anders Lee | Alex Tuch | Darnell Nurse | P.K. Subban |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Anders Lee | Alex Tuch | Darnell Nurse | P.K. Subban |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Adam Boqvist, | Adam Boqvist, |
Penalty Shots |
---|
, Martin Necas, Anders Lee, Alex Tuch, |
Goalie |
---|
#1 : , #2 : Jack Campbell |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 4200 | 4000 | 4200 | 4000 | 1010 |
Ticket Price | 95 | 60 | 41 | 30 | 195 |
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 | Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 17410 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 58,871,834$ | 58,871,834$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 14 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | -41,645,652$ | -41,645,652$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 85,000,000$ | 85,000,000$ | -60,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aatu Raty | Roadrunners | ||||
Alex Vlasic | Roadrunners | 2020 | 104 | ||
Anttoni Honka | Roadrunners | 2020 | 89 | ||
Brendan Guhle | Roadrunners | ||||
Carter Savoie | Roadrunners | 2021 | 53 | ||
Devon Levi | Roadrunners | ||||
Felix Sandstrom | Roadrunners | ||||
Hunter Shinkaruk | Roadrunners | ||||
Jack Finley | Roadrunners | 2021 | 97 | ||
Jake Neighbours | Roadrunners | ||||
Joachim Blichfeld | Roadrunners | ||||
John Quenneville | Roadrunners | ||||
Julius Nattinen | Roadrunners | 2016 | 76 | ||
Kieffer Bellows | Roadrunners | ||||
Lassi Thomson | Roadrunners | 2020 | 45 | ||
Mackie Samoskevich | Roadrunners | ||||
Marcus Davidsson | Roadrunners | 2018 | 61 | ||
Matej Pekar | Roadrunners | ||||
Riley Tufte | Roadrunners | ||||
Samuel Fagemo | Roadrunners | 2020 | 35 | ||
Shane Pinto | Roadrunners | 2020 | 33 | ||
Thomas Harley | Roadrunners | 2020 | 23 | ||
Ukko-Pekka Luukkonen | Roadrunners | ||||
Vili Saarijarvi | Roadrunners |
Year | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
2022 | RDS | RDS | |||
2023 | RDS | RDS BUL | RDS WLV BJT MRS | FGI RDS BJT CHI | RDS |
2024 | RDS | RDS | RDS OLS BUL | BJT RDS | BJT RDS OLS GON |
2025 | RDS | RDS | RDS | RDS WLV BUL DBS | RDS |
2026 | RDS | RDS PEN | RDS | RDS BUL | RDS |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | 157 | 65 | 104 | 169 | -11 | 62 | 262 | 366 | 619 | 10.50% | 76 | 3476 | 22.14 | 20 | 41 | 61 | 87 | 0 | 2 | 2 | 7 | 15 | 8 | 53.20 | 1 | 0.97 | 6 | 32 |
2 | Elias Lindholm | 164 | 53 | 61 | 114 | -4 | 139 | 261 | 206 | 496 | 10.69% | 81 | 3438 | 20.97 | 19 | 25 | 44 | 65 | 3 | 3 | 6 | 22 | 5 | 10 | 52.13 | 1 | 0.66 | 4 | 25 |
3 | Filip Forsberg | 150 | 48 | 57 | 105 | -9 | 84 | 235 | 186 | 492 | 9.76% | 65 | 2803 | 18.69 | 13 | 18 | 31 | 64 | 0 | 0 | 0 | 3 | 4 | 2 | 43.04 | 1 | 0.75 | 5 | 14 |
4 | Bo Horvat | 164 | 35 | 54 | 89 | -26 | 64 | 196 | 250 | 430 | 8.14% | 65 | 2865 | 17.47 | 7 | 11 | 18 | 31 | 0 | 1 | 1 | 4 | 6 | 4 | 58.22 | 0 | 0.62 | 8 | 34 |
5 | Ryan Nugent-Hopkins | 81 | 29 | 54 | 83 | 4 | 72 | 127 | 109 | 331 | 8.76% | 53 | 1700 | 21.00 | 9 | 27 | 36 | 51 | 0 | 0 | 0 | 8 | 8 | 1 | 48.34 | 0 | 0.98 | 2 | 7 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Frederik Andersen | 91 | 45 | 34 | 11 | 0.907 | 2.81 | 5442 | 0 | 1 | 255 | 2744 | 1362 | 3 | 0 | 0.735 | 68 |
2 | Jonathan Quick | 77 | 34 | 24 | 16 | 0.913 | 2.70 | 4571 | 8 | 0 | 206 | 2366 | 1173 | 7 | 3 | 0.672 | 67 |
3 | Oscar Dansk | 1 | 0 | 0 | 0 | 1.000 | 0.00% | 10 | 0 | 0 | 0 | 5 | 3 | 0 | 0 | 0.00% | 0 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 31 | 29 | 0 | 3 | 5 | 9 | 5 | 231 | 230 | 1 | 41 | 20 | 12 | 0 | 0 | 2 | 5 | 2 | 121 | 114 | 7 | 41 | 11 | 17 | 0 | 3 | 3 | 4 | 3 | 110 | 116 | -6 | 96 | 231 | 385 | 616 | 0 | 1 | 54 | 85 | 80 | 21 | 2758 | 917 | 941 | 881 | 78 | 2511 | 890 | 943 | 1735 | 272 | 55 | 20.22% | 275 | 55 | 80.00% | 1 | 1051 | 1896 | 55.43% | 971 | 1826 | 53.18% | 612 | 1145 | 53.45% | 1829 | 1073 | 1733 | 740 | 1435 | 720 |
2021 | 82 | 26 | 29 | 0 | 4 | 1 | 6 | 16 | 223 | 255 | -32 | 41 | 12 | 14 | 0 | 2 | 0 | 2 | 11 | 100 | 125 | -25 | 41 | 14 | 15 | 0 | 2 | 1 | 4 | 5 | 123 | 130 | -7 | 89 | 223 | 367 | 590 | 3 | 0 | 68 | 73 | 72 | 20 | 2819 | 1043 | 926 | 831 | 94 | 2607 | 869 | 945 | 1792 | 243 | 44 | 18.11% | 317 | 55 | 82.65% | 7 | 1059 | 1972 | 53.70% | 1002 | 1879 | 53.33% | 622 | 1169 | 53.21% | 1856 | 1102 | 1732 | 736 | 1445 | 716 |
Total Regular Season | 164 | 58 | 75 | 0 | 11 | 3 | 9 | 8 | 419 | 478 | -59 | 82 | 34 | 32 | 0 | 3 | 1 | 6 | 6 | 208 | 220 | -12 | 82 | 24 | 43 | 0 | 8 | 2 | 3 | 2 | 211 | 258 | -47 | 167 | 419 | 690 | 1109 | 5 | 2 | 109 | 156 | 134 | 23 | 5068 | 1610 | 1814 | 1617 | 81 | 5492 | 1724 | 1289 | 3264 | 491 | 98 | 19.96% | 487 | 103 | 78.85% | 6 | 1803 | 3601 | 50.07% | 1901 | 3824 | 49.71% | 1143 | 2231 | 51.23% | 3384 | 1917 | 3654 | 1505 | 2897 | 1440 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 20 | 11 | 9 | 0 | 0 | 0 | 0 | 0 | 64 | 61 | 3 | 10 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 30 | 33 | -3 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 34 | 28 | 6 | 22 | 64 | 110 | 174 | 0 | 0 | 14 | 18 | 30 | 2 | 705 | 229 | 224 | 227 | 25 | 671 | 232 | 205 | 442 | 69 | 18 | 26.09% | 70 | 13 | 81.43% | 1 | 300 | 527 | 56.93% | 268 | 489 | 54.81% | 144 | 293 | 49.15% | 455 | 275 | 429 | 173 | 342 | 170 |
2021 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 25 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 2 | 18 | 29 | 47 | 0 | 0 | 8 | 4 | 6 | 0 | 181 | 58 | 65 | 56 | 2 | 190 | 54 | 72 | 116 | 14 | 1 | 7.14% | 21 | 8 | 61.90% | 0 | 60 | 143 | 41.96% | 55 | 118 | 46.61% | 40 | 87 | 45.98% | 109 | 66 | 114 | 43 | 81 | 41 |
Total Playoff | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 75 | 65 | 10 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 33 | 26 | 7 | 14 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 42 | 39 | 3 | 32 | 75 | 135 | 210 | 0 | 0 | 22 | 24 | 24 | 5 | 887 | 259 | 290 | 316 | 22 | 857 | 293 | 208 | 554 | 89 | 12 | 13.48% | 79 | 19 | 75.95% | 3 | 311 | 610 | 50.98% | 298 | 572 | 52.10% | 179 | 352 | 50.85% | 555 | 324 | 563 | 225 | 435 | 221 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | 25 | 5 | 21 | 26 | 0 | 7 | 40 | 63 | 88 | 5.68% | 15 | 583 | 23.35 | 1 | 9 | 10 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 51.79 | 0 | 0.89 | 0 | 0 |
2 | Ryan Nugent-Hopkins | 20 | 10 | 11 | 21 | 1 | 19 | 29 | 28 | 88 | 11.36% | 10 | 434 | 21.75 | 5 | 4 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 65.85 | 0 | 0.97 | 0 | 0 |
3 | Bo Horvat | 25 | 7 | 13 | 20 | -4 | 6 | 34 | 52 | 77 | 9.09% | 11 | 477 | 19.12 | 3 | 3 | 6 | 11 | 0 | 0 | 0 | 2 | 0 | 0 | 56.35 | 0 | 0.84 | 0 | 0 |
4 | Tom Wilson | 25 | 10 | 9 | 19 | -4 | 57 | 48 | 22 | 58 | 17.24% | 6 | 388 | 15.53 | 2 | 4 | 6 | 6 | 0 | 0 | 0 | 0 | 2 | 1 | 36.36 | 1 | 0.98 | 0 | 0 |
5 | Elias Lindholm | 25 | 8 | 9 | 17 | 0 | 31 | 38 | 27 | 73 | 10.96% | 18 | 531 | 21.25 | 3 | 2 | 5 | 13 | 0 | 0 | 0 | 1 | 1 | 0 | 46.15 | 0 | 0.64 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Frederik Andersen | 22 | 11 | 10 | 1 | 0.901 | 3.25 | 1328 | 2 | 0 | 72 | 724 | 338 | 2 | 0 | 0.00% | 0 |
2 | Jonathan Quick | 4 | 1 | 1 | 1 | 0.898 | 4.12 | 204 | 0 | 0 | 14 | 137 | 70 | 1 | 0 | 0.00% | 0 |