![]() | Winnipeg Jets |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : William Beaulieu | Morale : 40 | Team Overall : 72 |
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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 | Nick Suzuki (C) | X | X | 100.00 | 68 | 50 | 91 | 84 | 80 | 91 | 99 | 85 | 79 | 86 | 79 | 78 | 93 | 60 | 67 | 0 | 40 | 77 | 0 | 24 | 4 | 7,875,000$ | |||
2 | Brandon Hagel (A) | X | X | 100.00 | 68 | 50 | 90 | 81 | 81 | 88 | 99 | 69 | 64 | 81 | 81 | 80 | 97 | 56 | 60 | 0 | 40 | 74 | 0 | 25 | 0 | 0$ | |||
3 | Thomas Novak | X | 100.00 | 62 | 50 | 94 | 81 | 76 | 84 | 80 | 78 | 74 | 83 | 78 | 73 | 94 | 50 | 60 | 0 | 40 | 73 | 0 | 26 | 0 | 0$ | ||||
4 | Gabriel Vilardi | X | X | 100.00 | 65 | 50 | 92 | 79 | 76 | 85 | 83 | 73 | 76 | 77 | 80 | 74 | 96 | 53 | 60 | 0 | 40 | 72 | 0 | 24 | 2 | 3,437,500$ | |||
5 | Mike Hoffman | X | X | 100.00 | 64 | 50 | 91 | 78 | 74 | 86 | 95 | 77 | 35 | 80 | 77 | 71 | 89 | 77 | 78 | 0 | 40 | 72 | 0 | 34 | 0 | 0$ | |||
6 | Victor Olofsson | X | X | 100.00 | 62 | 50 | 94 | 80 | 74 | 85 | 98 | 75 | 35 | 79 | 81 | 70 | 94 | 56 | 60 | 0 | 40 | 72 | 0 | 28 | 0 | 0$ | |||
7 | Jesper Fast | X | 100.00 | 73 | 50 | 94 | 76 | 79 | 85 | 99 | 51 | 35 | 78 | 75 | 81 | 93 | 73 | 73 | 0 | 40 | 70 | 0 | 32 | 2 | 3,000,000$ | ||||
8 | Logan O'Connor | X | 100.00 | 73 | 50 | 90 | 75 | 81 | 84 | 99 | 50 | 35 | 77 | 74 | 84 | 91 | 53 | 62 | 0 | 40 | 70 | 0 | 27 | 1 | 1,050,000$ | ||||
9 | Mattias Janmark | X | X | X | 100.00 | 63 | 60 | 91 | 76 | 78 | 85 | 95 | 52 | 73 | 78 | 75 | 80 | 90 | 68 | 75 | 0 | 40 | 70 | 0 | 31 | 0 | 0$ | ||
10 | Wade Allison | X | 100.00 | 89 | 50 | 89 | 74 | 74 | 83 | 76 | 51 | 35 | 73 | 75 | 75 | 89 | 51 | 60 | 0 | 40 | 67 | 0 | 26 | 0 | 0$ | ||||
11 | Joey Anderson | X | 100.00 | 69 | 50 | 95 | 73 | 74 | 81 | 71 | 51 | 35 | 72 | 75 | 74 | 91 | 53 | 60 | 0 | 40 | 66 | 0 | 25 | 0 | 0$ | ||||
12 | Aatu Raty | X | 100.00 | 73 | 50 | 92 | 73 | 73 | 78 | 64 | 52 | 84 | 72 | 74 | 73 | 92 | 50 | 60 | 0 | 40 | 65 | 0 | 21 | 2 | 836,667$ | ||||
13 | Adam Fox | X | 100.00 | 63 | 50 | 91 | 87 | 87 | 94 | 99 | 98 | 35 | 95 | 75 | 88 | 89 | 56 | 61 | 0 | 40 | 80 | 0 | 25 | 4 | 9,500,000$ | ||||
14 | Jonas Brodin (A) | X | 100.00 | 67 | 50 | 91 | 75 | 83 | 93 | 95 | 60 | 35 | 79 | 72 | 90 | 83 | 80 | 74 | 0 | 40 | 74 | 0 | 30 | 0 | 0$ | ||||
15 | Neal Pionk | X | 100.00 | 82 | 50 | 89 | 77 | 79 | 92 | 99 | 68 | 35 | 81 | 73 | 81 | 84 | 63 | 63 | 0 | 40 | 74 | 0 | 28 | 2 | 5,875,000$ | ||||
16 | Jeremy Lauzon | X | 100.00 | 96 | 50 | 84 | 72 | 78 | 87 | 95 | 50 | 35 | 73 | 71 | 82 | 82 | 54 | 63 | 0 | 40 | 72 | 0 | 26 | 4 | 2,000,000$ | ||||
17 | Marco Scandella | X | 100.00 | 75 | 50 | 92 | 73 | 81 | 88 | 83 | 50 | 35 | 74 | 71 | 86 | 83 | 81 | 73 | 0 | 40 | 71 | 0 | 33 | 0 | 0$ | ||||
18 | Nick Leddy | X | 100.00 | 65 | 50 | 92 | 75 | 76 | 91 | 99 | 59 | 35 | 79 | 71 | 77 | 82 | 89 | 90 | 0 | 40 | 71 | 0 | 32 | 4 | 4,000,000$ | ||||
19 | Nick Perbix | X | 100.00 | 71 | 50 | 92 | 75 | 76 | 86 | 78 | 51 | 35 | 77 | 72 | 77 | 84 | 50 | 60 | 0 | 40 | 69 | 0 | 25 | 2 | 125,000$ | ||||
20 | Matt Irwin | X | 100.00 | 80 | 50 | 90 | 72 | 76 | 83 | 80 | 50 | 35 | 73 | 71 | 78 | 82 | 69 | 72 | 0 | 40 | 69 | 0 | 36 | 0 | 0$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Dakota Joshua | X | 100.00 | 87 | 50 | 88 | 75 | 75 | 81 | 88 | 55 | 83 | 75 | 74 | 75 | 93 | 51 | 60 | 0 | 40 | 69 | 0 | 27 | 0 | 0$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Gabriel Fortier | X | X | 100.00 | 83 | 50 | 91 | 71 | 72 | 79 | 63 | 50 | 73 | 70 | 73 | 72 | 86 | 61 | 61 | 0 | 40 | 64 | 0 | 23 | 0 | 0$ | |||
2 | Henrik Borgstrom | X | X | X | 100.00 | 65 | 50 | 91 | 72 | 71 | 80 | 74 | 55 | 70 | 72 | 72 | 71 | 89 | 53 | 60 | 0 | 40 | 64 | 0 | 26 | 0 | 0$ | ||
3 | Sampo Ranta | X | 100.00 | 69 | 50 | 93 | 70 | 79 | 81 | 77 | 57 | 35 | 70 | 70 | 71 | 79 | 50 | 60 | 0 | 40 | 64 | 0 | 23 | 0 | 0$ | ||||
4 | Maksim Sushko | X | 100.00 | 70 | 50 | 95 | 70 | 60 | 80 | 82 | 50 | 35 | 70 | 70 | 67 | 77 | 50 | 60 | 0 | 40 | 62 | 0 | 24 | 0 | 0$ | ||||
5 | Akil Thomas | X | 100.00 | 61 | 38 | 87 | 67 | 69 | 86 | 91 | 64 | 76 | 62 | 61 | 57 | 68 | 60 | 62 | 0 | 40 | 61 | 0 | 22 | 0 | 0$ | ||||
6 | Tyler Madden | X | 100.00 | 62 | 35 | 93 | 64 | 71 | 75 | 76 | 66 | 72 | 63 | 58 | 56 | 61 | 63 | 65 | 0 | 40 | 59 | 0 | 24 | 0 | 0$ | ||||
7 | German Rubtsov | X | 100.00 | 58 | 35 | 95 | 62 | 76 | 70 | 73 | 63 | 67 | 61 | 59 | 57 | 63 | 65 | 62 | 0 | 40 | 58 | 0 | 25 | 0 | 0$ | ||||
8 | Samuel Asselin | X | 100.00 | 56 | 33 | 81 | 58 | 65 | 71 | 76 | 61 | 74 | 59 | 62 | 66 | 63 | 65 | 67 | 0 | 40 | 58 | 0 | 25 | 0 | 0$ | ||||
9 | Zayde Wisdom | X | 100.00 | 62 | 58 | 66 | 63 | 71 | 74 | 79 | 61 | 75 | 62 | 60 | 58 | 61 | 59 | 61 | 0 | 40 | 58 | 0 | 21 | 2 | 800,000$ | ||||
10 | Curtis Hall | X | 100.00 | 74 | 35 | 93 | 54 | 83 | 72 | 77 | 52 | 63 | 51 | 53 | 56 | 52 | 61 | 63 | 0 | 40 | 54 | 0 | 23 | 0 | 0$ | ||||
11 | Justin Almeida | X | 100.00 | 56 | 35 | 93 | 55 | 65 | 71 | 74 | 55 | 56 | 55 | 57 | 53 | 56 | 63 | 62 | 0 | 40 | 54 | 0 | 24 | 0 | 0$ | ||||
12 | Brayden Pachal | X | 100.00 | 83 | 50 | 88 | 73 | 70 | 85 | 63 | 50 | 35 | 72 | 70 | 78 | 79 | 50 | 60 | 0 | 40 | 67 | 0 | 24 | 2 | 775,000$ | ||||
13 | Isaak Phillips | X | 100.00 | 75 | 50 | 91 | 73 | 72 | 85 | 65 | 50 | 35 | 74 | 72 | 71 | 84 | 50 | 60 | 0 | 40 | 65 | 0 | 22 | 0 | 0$ | ||||
14 | Jack Ahcan | X | 100.00 | 73 | 50 | 95 | 73 | 71 | 86 | 62 | 66 | 35 | 70 | 73 | 70 | 88 | 67 | 64 | 0 | 40 | 65 | 0 | 26 | 2 | 775,000$ | ||||
15 | Cam Lee | X | 100.00 | 66 | 51 | 74 | 62 | 73 | 77 | 82 | 59 | 30 | 63 | 53 | 56 | 45 | 67 | 64 | 0 | 40 | 58 | 0 | 26 | 0 | 0$ | ||||
16 | Cole Moberg | X | X | 100.00 | 72 | 48 | 79 | 56 | 81 | 71 | 76 | 56 | 30 | 55 | 53 | 57 | 45 | 61 | 62 | 0 | 40 | 57 | 0 | 23 | 0 | 0$ | |||
17 | Mason Millman | X | 100.00 | 63 | 36 | 79 | 58 | 72 | 70 | 68 | 56 | 30 | 57 | 50 | 53 | 45 | 60 | 62 | 0 | 40 | 55 | 0 | 22 | 0 | 0$ | ||||
18 | Philip Kemp | X | 100.00 | 75 | 39 | 88 | 53 | 84 | 60 | 65 | 52 | 30 | 53 | 51 | 56 | 45 | 63 | 62 | 0 | 40 | 55 | 0 | 24 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 70 | 48 | 89 | 71 | 75 | 82 | 82 | 60 | 50 | 71 | 69 | 71 | 78 | 61 | 64 | 0 | 40 | 66 |
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 | Mackenzie Blackwood | 100.00 | 87 | 84 | 85 | 92 | 79 | 89 | 87 | 91 | 87 | 89 | 89 | 65 | 60 | 0 | 40 | 84 | 0 | 27 | 2 | 2,350,000$ | |
2 | Joel Hofer | 100.00 | 84 | 72 | 73 | 87 | 85 | 89 | 85 | 92 | 88 | 90 | 84 | 50 | 60 | 0 | 40 | 82 | 0 | 23 | 2 | 775,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Anthony Stolarz | 100.00 | 88 | 84 | 84 | 97 | 78 | 90 | 88 | 94 | 89 | 90 | 88 | 62 | 60 | 0 | 40 | 84 | 0 | 29 | 0 | 0$ | |
2 | Evan Fitzpatrick | 100.00 | 75 | 80 | 79 | 85 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 66 | 70 | 0 | 40 | 73 | 0 | 25 | 0 | 0$ | |
TEAM AVERAGE | 100.00 | 84 | 80 | 80 | 90 | 79 | 85 | 84 | 88 | 84 | 86 | 84 | 61 | 63 | 0 | 40 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 85 | 85 | 85 | 85 | 85 | 85 | 85 | CAN | 57 | 8 | 1,000,000$ |
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 | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | 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 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Aatu Raty | ![]() | C | 21 | 2002-11-14 02:13:36 | No | 185 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 836,667$ | 836,667$ | 836,667$ | No | 836,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Adam Fox | ![]() | D | 25 | 1998-02-17 | No | 181 Lbs | 5 ft11 | No | No | Trade | 2024-03-16 | No | No | 4 | False | False | Pro & Farm | 9,500,000$ | 9,500,000$ | 9,500,000$ | No | 9,500,000$ | 9,500,000$ | 9,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Brandon Hagel | ![]() | LW/RW | 25 | 1998-08-27 | No | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Dakota Joshua | ![]() | C | 27 | 1996-05-15 | No | 199 Lbs | 6 ft2 | No | No | Trade | 2024-01-23 | No | No | 0 | False | False | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Gabriel Vilardi | ![]() | C/RW | 24 | 1999-08-16 | No | 201 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,437,500$ | 3,437,500$ | 3,437,500$ | No | 3,437,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jeremy Lauzon | ![]() | D | 26 | 1997-04-28 | No | 204 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Jesper Fast | ![]() | RW | 32 | 1991-12-02 | No | 191 Lbs | 6 ft1 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Joel Hofer | ![]() | G | 23 | 2000-07-30 | No | 160 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Joey Anderson | ![]() | RW | 25 | 1998-06-19 | No | 190 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Jonas Brodin | ![]() | D | 30 | 1993-07-12 | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Logan O'Connor | ![]() | RW | 27 | 1996-08-14 | No | 175 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 1,050,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Mackenzie Blackwood | ![]() | G | 27 | 1996-12-09 | No | 225 Lbs | 6 ft4 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 2,350,000$ | 2,350,000$ | 2,350,000$ | No | 2,350,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Marco Scandella | ![]() | D | 33 | 1990-02-23 | No | 212 Lbs | 6 ft3 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Matt Irwin | ![]() | D | 36 | 1987-11-29 | No | 189 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Mattias Janmark | ![]() | C/LW/RW | 31 | 1992-12-08 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Mike Hoffman | ![]() | LW/RW | 34 | 1989-11-24 | No | 182 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Neal Pionk | ![]() | D | 28 | 1995-07-29 | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,875,000$ | 5,875,000$ | 5,875,000$ | No | 5,875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Nick Leddy | ![]() | D | 32 | 1991-03-20 | No | 207 Lbs | 6 ft0 | No | No | N/A | No | Yes | 4 | False | False | Pro & Farm | 4,000,000$ | 4,000,000$ | 4,000,000$ | No | 4,000,000$ | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Nick Perbix | ![]() | D | 25 | 1998-06-15 13:38:06 | No | 220 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 125,000$ | 125,000$ | 125,000$ | No | 125,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Nick Suzuki | ![]() | C/RW | 24 | 1999-08-10 | No | 208 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 7,875,000$ | 7,875,000$ | 7,875,000$ | No | 7,875,000$ | 7,875,000$ | 7,875,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Thomas Novak | ![]() | C | 26 | 1997-04-28 | No | 179 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Victor Olofsson | ![]() | LW/RW | 28 | 1995-07-18 | No | 182 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Wade Allison | ![]() | RW | 26 | 1997-10-14 | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 27.61 | 193 Lbs | 6 ft1 | 1.35 | 1,774,964$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
40,824,167$ | 39,774,167$ | 23,375,000$ | 23,375,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Mattias Janmark | Nick Suzuki | Victor Olofsson | 25 | 5 | 0 | 0 |
2 | Mike Hoffman | Gabriel Vilardi | Brandon Hagel | 25 | 5 | 0 | 0 |
3 | Jesper Fast | Thomas Novak | Logan O'Connor | 25 | 5 | 0 | 0 |
4 | Joey Anderson | Aatu Raty | Wade Allison | 25 | 5 | 0 | 0 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Fox | Jonas Brodin | 25 | 5 | 0 | 0 | |
2 | Neal Pionk | Nick Leddy | 25 | 5 | 0 | 0 | |
3 | Matt Irwin | Nick Perbix | 25 | 5 | 0 | 0 | |
4 | Matt Irwin | Nick Perbix | 25 | 5 | 0 | 0 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Victor Olofsson | Nick Suzuki | Brandon Hagel | 50 | 0 | 5 | 0 |
2 | Mike Hoffman | Thomas Novak | Gabriel Vilardi | 50 | 0 | 5 | 0 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jonas Brodin | Neal Pionk | 50 | 1 | 2 | 2 | |
2 | Nick Perbix | Nick Leddy | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Suzuki | Mike Hoffman | 50 | 5 | 0 | 0 |
2 | Brandon Hagel | Thomas Novak | 50 | 5 | 0 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jonas Brodin | Neal Pionk | 50 | 5 | 0 | 0 |
2 | Nick Perbix | Nick Leddy | 50 | 5 | 0 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Suzuki | 50 | 5 | 0 | 0 | Jonas Brodin | Neal Pionk | 50 | 5 | 0 | 0 |
2 | Brandon Hagel | 50 | 5 | 0 | 0 | Nick Perbix | Nick Leddy | 50 | 5 | 0 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Suzuki | Mattias Janmark | 50 | 5 | 0 | 0 |
2 | Brandon Hagel | Thomas Novak | 50 | 5 | 0 | 0 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jonas Brodin | Neal Pionk | 50 | 5 | 0 | 0 |
2 | Nick Perbix | Jeremy Lauzon | 50 | 5 | 0 | 0 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Mattias Janmark | Nick Suzuki | Brandon Hagel | Jonas Brodin | Neal Pionk |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Mattias Janmark | Nick Suzuki | Brandon Hagel | Jonas Brodin | Neal Pionk |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Wade Allison, Victor Olofsson, Jesper Fast | Wade Allison, Victor Olofsson | Jesper Fast |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Marco Scandella, Nick Leddy, Nick Perbix | Marco Scandella | Nick Leddy, Nick Perbix |
Penalty Shots |
---|
Jesper Fast, Mike Hoffman, Nick Suzuki, Thomas Novak, Brandon Hagel |
Goalie |
---|
#1 : Mackenzie Blackwood, #2 : Joel Hofer |
Custom OT Lines Forwards |
---|
Nick Suzuki, Jesper Fast, Mattias Janmark, Wade Allison, Mike Hoffman, Gabriel Vilardi, Gabriel Vilardi, Victor Olofsson, Thomas Novak, Brandon Hagel, Aatu Raty |
Custom OT Lines Defensemen |
---|
Matt Irwin, Nick Leddy, Nick Perbix, Neal Pionk, Marco Scandella |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 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 | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
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 | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 40,824,167$ | 0$ | 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$ | 12 | 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$ | 4,450,572$ | 4,450,572$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 83,500,000$ | 83,500,000$ | -61,700,000$ |
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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Aidan Thompson | ![]() | 2022 | 91 | |||
Andrei Altybarmakyan | ![]() | 0 | 0 | |||
Ayrton Martino | ![]() | 0 | 0 | |||
Ben King | ![]() | 2022 | 94 | |||
Brandon Kruse | ![]() | 0 | 0 | |||
Brett Stapley | ![]() | 0 | 0 | |||
Carey Terrance | ![]() | 2023 | 73 | |||
Carter Mazur | ![]() | 0 | 0 | |||
Christian Kyrou | ![]() | 2022 | 45 | |||
Christopher Pelosi | ![]() | 2023 | 124 | |||
Cliff Pu | ![]() | 0 | 0 | |||
Connor Kurth | ![]() | 2022 | 68 | |||
David Goyette | ![]() | 2022 | 44 | |||
Dmitri Simashev | ![]() | 2023 | 9 | https://www.eliteprospects.com/player/708607/dmitri-simashev | ||
Dmitry Rashevsky | ![]() | 0 | 0 | |||
Frederic Brunet | ![]() | 2022 | 103 | |||
Graham Sward | ![]() | 2022 | 93 | |||
Jakub Demek | ![]() | 0 | 0 | |||
Jon-Randall Avon | ![]() | 0 | 0 | |||
Kenny Connors | ![]() | 2022 | 151 | |||
Matt Coronato | ![]() | 0 | 0 | |||
Nick Lardis | ![]() | 2023 | 42 | |||
Quinn Schmiemann | ![]() | 2022 | 110 | |||
Quinton Burns | ![]() | 2023 | 84 | |||
Raivis Ansons | ![]() | 0 | 0 | |||
Redmond Savage | ![]() | 0 | 0 | |||
Rory Kerins | ![]() | 0 | 0 | |||
Stephen Halliday | ![]() | 2022 | 70 | |||
Theo Lindstein | ![]() | 2023 | 41 |
Year | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
7 | ![]() ![]() ![]() ![]() | ![]() | ![]() ![]() | ![]() ![]() | ![]() |
9 | ![]() ![]() | ![]() | ![]() | ![]() | |
11 | ![]() | ![]() | ![]() | ![]() | ![]() |
Conditional Draft Picks |
# | 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 | Adam Fox | 83 | 23 | 41 | 64 | -23 | 24 | 66 | 129 | 260 | 8.85% | 97 | 1659 | 20.00 | 0 | 6 | 6 | 33 | 1 | 1 | 2 | 4 | 4 | 1 | 0% | 0 | 0.77 | 0 | 0 |
2 | Nick Suzuki | 82 | 10 | 28 | 38 | -40 | 32 | 96 | 120 | 191 | 5.24% | 34 | 1413 | 17.24 | 4 | 5 | 9 | 19 | 0 | 1 | 1 | 12 | 0 | 0 | 53.83% | 0 | 0.54 | 3 | 5 |
3 | Thomas Novak | 82 | 13 | 19 | 32 | -23 | 22 | 71 | 91 | 221 | 5.88% | 22 | 1422 | 17.35 | 1 | 2 | 3 | 18 | 0 | 2 | 2 | 7 | 1 | 1 | 49.33% | 0 | 0.45 | 1 | 4 |
4 | Gabriel Vilardi | 82 | 10 | 17 | 27 | -36 | 10 | 75 | 63 | 147 | 6.80% | 19 | 1157 | 14.11 | 1 | 3 | 4 | 23 | 0 | 0 | 0 | 0 | 2 | 4 | 51.34% | 0 | 0.47 | 1 | 1 |
5 | Neal Pionk | 82 | 7 | 20 | 27 | -36 | 48 | 132 | 124 | 99 | 7.07% | 76 | 1637 | 19.97 | 2 | 3 | 5 | 14 | 0 | 0 | 0 | 1 | 0 | 2 | 0% | 0 | 0.33 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joel Hofer | 50 | 10 | 26 | 5 | 0.889 | 3.34 | 2554 | 0 | 0 | 142 | 1283 | 662 | 0 | 0 | 0.421 | 19 |
2 | Mackenzie Blackwood | 44 | 5 | 33 | 3 | 0.875 | 3.73 | 2412 | 0 | 0 | 150 | 1198 | 584 | 0 | 0 | 0.917 | 12 |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6 | 82 | 8 | 59 | 0 | 1 | 5 | 6 | 3 | 133 | 295 | -162 | 41 | 2 | 32 | 0 | 0 | 3 | 1 | 3 | 63 | 155 | -92 | 41 | 6 | 27 | 0 | 1 | 2 | 5 | 0 | 70 | 140 | -70 | 38 | 133 | 211 | 344 | 0 | 0 | 34 | 54 | 38 | 14 | 2180 | 681 | 709 | 772 | 48 | 2481 | 858 | 482 | 1571 | 156 | 14 | 8.97% | 241 | 37 | 84.65% | 5 | 699 | 1412 | 49.50% | 796 | 1583 | 50.28% | 495 | 954 | 51.89% | 1746 | 1115 | 1984 | 655 | 1239 | 599 |
Total Regular Season | 82 | 8 | 59 | 0 | 1 | 5 | 6 | 3 | 133 | 295 | -162 | 41 | 2 | 32 | 0 | 0 | 3 | 1 | 3 | 63 | 155 | -92 | 41 | 6 | 27 | 0 | 1 | 2 | 5 | 0 | 70 | 140 | -70 | 38 | 133 | 211 | 344 | 0 | 0 | 34 | 54 | 38 | 14 | 2180 | 681 | 709 | 772 | 48 | 2481 | 858 | 482 | 1571 | 156 | 14 | 8.97% | 241 | 37 | 84.65% | 5 | 699 | 1412 | 49.50% | 796 | 1583 | 50.28% | 495 | 954 | 51.89% | 1746 | 1115 | 1984 | 655 | 1239 | 599 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 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 | 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 | 0 | 0 | 0 | 0 |
# | 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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|