Blue Jackets | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Francois Juteau | Morale : 99 | Team Overall : 76 |
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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 | Sidney Crosby | X | 100.00 | 84 | 71 | 83 | 81 | 82 | 80 | 83 | 80 | 82 | 87 | 89 | 72 | 87 | 85 | 74 | 28 | 37 | 82 | 2 | 30 | 4 | 7,500,000$ | ||||
2 | Teuvo Teravainen | X | 100.00 | 82 | 50 | 87 | 82 | 77 | 81 | 80 | 81 | 73 | 81 | 83 | 69 | 78 | 61 | 49 | 49 | 33 | 77 | 1 | 23 | 1 | 3,000,000$ | ||||
3 | Kyle Okposo | X | 100.00 | 87 | 29 | 85 | 74 | 89 | 82 | 81 | 79 | 74 | 77 | 85 | 66 | 71 | 72 | 57 | 27 | 36 | 76 | 1 | 29 | 1 | 3,500,000$ | ||||
4 | Logan Couture | X | 100.00 | 73 | 39 | 87 | 77 | 77 | 78 | 79 | 76 | 78 | 80 | 82 | 73 | 79 | 76 | 55 | 29 | 47 | 76 | 1 | 28 | 1 | 2,750,000$ | ||||
5 | Fabian Brunnstrom | X | 100.00 | 74 | 34 | 78 | 79 | 79 | 78 | 74 | 80 | 67 | 72 | 77 | 73 | 75 | 82 | 80 | 17 | 43 | 75 | 0 | 32 | 2 | 2,000,000$ | ||||
6 | Ryan Kesler | X | 100.00 | 76 | 42 | 73 | 80 | 83 | 72 | 78 | 77 | 81 | 74 | 75 | 62 | 77 | 88 | 89 | 16 | 60 | 75 | 0 | 33 | 2 | 2,750,000$ | ||||
7 | Blake Wheeler | X | 100.00 | 74 | 47 | 72 | 75 | 74 | 79 | 78 | 73 | 73 | 76 | 82 | 70 | 66 | 76 | 66 | 20 | 41 | 74 | 0 | 31 | 1 | 2,000,000$ | ||||
8 | Nail Yakupov | X | 100.00 | 74 | 36 | 86 | 74 | 83 | 74 | 78 | 78 | 73 | 74 | 85 | 60 | 71 | 62 | 56 | 41 | 43 | 74 | 0 | 24 | 1 | 1,000,000$ | ||||
9 | William Karlsson | X | 100.00 | 72 | 33 | 82 | 76 | 80 | 75 | 80 | 79 | 77 | 81 | 77 | 71 | 76 | 58 | 52 | 44 | 43 | 74 | 0 | 24 | 3 | 1,750,000$ | ||||
10 | Michael Raffl | X | 100.00 | 69 | 33 | 74 | 73 | 82 | 69 | 76 | 73 | 68 | 66 | 83 | 71 | 74 | 77 | 70 | 23 | 21 | 72 | 0 | 29 | 1 | 1,000,000$ | ||||
11 | Nick Schmaltz (R) | X | 100.00 | 76 | 46 | 82 | 76 | 71 | 72 | 70 | 75 | 75 | 76 | 76 | 69 | 71 | 51 | 47 | 62 | 63 | 72 | 0 | 21 | 3 | 1,100,000$ | ||||
12 | Ryan Dzingel | X | 100.00 | 73 | 38 | 81 | 73 | 73 | 76 | 72 | 73 | 72 | 68 | 74 | 66 | 74 | 64 | 59 | 38 | 23 | 71 | 0 | 25 | 2 | 925,000$ | ||||
13 | Colton Parayko | X | 100.00 | 90 | 47 | 82 | 81 | 86 | 87 | 75 | 78 | 67 | 85 | 76 | 84 | 66 | 69 | 49 | 43 | 43 | 81 | 1 | 24 | 1 | 4,000,000$ | ||||
14 | Travis Hamonic | X | 100.00 | 85 | 33 | 88 | 82 | 85 | 81 | 86 | 79 | 57 | 85 | 72 | 84 | 69 | 80 | 54 | 33 | 43 | 81 | 1 | 27 | 1 | 5,000,000$ | ||||
15 | Aaron Ekblad | X | 100.00 | 80 | 46 | 90 | 81 | 79 | 82 | 76 | 81 | 61 | 81 | 73 | 82 | 67 | 67 | 45 | 64 | 35 | 79 | 0 | 21 | 3 | 4,000,000$ | ||||
16 | PK Subban | X | 100.00 | 82 | 43 | 81 | 79 | 79 | 81 | 79 | 79 | 64 | 83 | 74 | 82 | 70 | 84 | 52 | 29 | 56 | 79 | 1 | 28 | 2 | 4,000,000$ | ||||
17 | Ben Hutton (R) | X | 100.00 | 77 | 40 | 79 | 77 | 79 | 78 | 78 | 77 | 65 | 78 | 71 | 74 | 68 | 67 | 45 | 50 | 73 | 74 | 0 | 23 | 1 | 2,500,000$ | ||||
18 | Morgan Rielly (R) | X | 100.00 | 74 | 32 | 91 | 73 | 72 | 78 | 79 | 72 | 58 | 81 | 70 | 71 | 68 | 67 | 48 | 52 | 53 | 73 | 0 | 23 | 2 | 1,300,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Brian Ferlin | X | 100.00 | 87 | 46 | 75 | 75 | 79 | 64 | 76 | 73 | 64 | 76 | 77 | 72 | 71 | 66 | 60 | 35 | 37 | 73 | 0 | 25 | 3 | 1,500,000$ | ||||
2 | Dmitrij Jaskin (R) | X | 100.00 | 74 | 26 | 76 | 80 | 72 | 81 | 74 | 71 | 61 | 74 | 77 | 64 | 71 | 54 | 52 | 44 | 19 | 71 | 0 | 24 | 3 | 1,000,000$ | ||||
3 | Ben Chiarot (R) | X | 100.00 | 87 | 52 | 81 | 73 | 88 | 80 | 69 | 55 | 44 | 71 | 63 | 80 | 56 | 57 | 53 | 50 | 23 | 75 | 0 | 26 | 4 | 4,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Zac Dalpe | X | 100.00 | 71 | 35 | 77 | 72 | 69 | 78 | 78 | 77 | 73 | 75 | 65 | 66 | 79 | 69 | 62 | 30 | 63 | 71 | 0 | 28 | 1 | 950,000$ | ||||
2 | Justin Bailey (R) | X | 100.00 | 73 | 34 | 85 | 63 | 79 | 74 | 71 | 73 | 77 | 71 | 85 | 58 | 66 | 54 | 44 | 52 | 50 | 70 | 0 | 22 | 2 | 990,000$ | ||||
3 | Austin Watson | X | 100.00 | 75 | 28 | 79 | 67 | 68 | 70 | 74 | 70 | 70 | 67 | 71 | 63 | 68 | 55 | 50 | 34 | 53 | 67 | 0 | 25 | 1 | 550,000$ | ||||
4 | Jakub Vrana (R) | X | 100.00 | 65 | 38 | 73 | 71 | 65 | 73 | 72 | 70 | 73 | 65 | 72 | 69 | 74 | 46 | 45 | 52 | 29 | 67 | 0 | 21 | 2 | 650,000$ | ||||
5 | Jared Knight | X | 100.00 | 69 | 21 | 72 | 66 | 73 | 72 | 76 | 68 | 72 | 72 | 70 | 66 | 65 | 53 | 50 | 34 | 63 | 67 | 0 | 25 | 1 | 700,000$ | ||||
6 | Joakim Nordstrom | X | 100.00 | 79 | 45 | 66 | 68 | 68 | 66 | 76 | 71 | 63 | 69 | 69 | 60 | 58 | 51 | 50 | 36 | 60 | 66 | 0 | 25 | 1 | 600,000$ | ||||
7 | Ryan Fitzgerald (R) | X | 100.00 | 67 | 43 | 76 | 66 | 70 | 69 | 68 | 74 | 75 | 63 | 67 | 63 | 66 | 48 | 50 | 45 | 63 | 66 | 0 | 23 | 4 | 750,000$ | ||||
8 | Marc Michaelis (R) | X | 100.00 | 71 | 39 | 72 | 68 | 62 | 71 | 57 | 67 | 67 | 71 | 68 | 67 | 61 | 48 | 48 | 56 | 45 | 66 | 0 | 22 | 1 | 500,000$ | ||||
9 | Trevor Moore (R) | X | 100.00 | 70 | 50 | 79 | 70 | 59 | 72 | 68 | 64 | 76 | 66 | 70 | 57 | 73 | 48 | 48 | 59 | 28 | 66 | 0 | 22 | 1 | 500,000$ | ||||
10 | Gerald Mayhew (R) | X | 100.00 | 56 | 42 | 72 | 57 | 62 | 69 | 80 | 76 | 69 | 60 | 79 | 51 | 77 | 55 | 52 | 44 | 64 | 65 | 0 | 25 | 1 | 650,000$ | ||||
11 | Richard Nejezchleb (R) | X | 100.00 | 57 | 46 | 73 | 65 | 67 | 69 | 64 | 63 | 68 | 66 | 74 | 58 | 60 | 47 | 48 | 37 | 49 | 64 | 0 | 23 | 2 | 650,000$ | ||||
12 | Vladimir Tkachev (R) | X | 100.00 | 54 | 44 | 80 | 71 | 57 | 68 | 59 | 61 | 60 | 61 | 73 | 63 | 70 | 49 | 49 | 47 | 27 | 64 | 0 | 22 | 2 | 500,000$ | ||||
13 | Carl Grundstrom (R) | X | 100.00 | 68 | 52 | 84 | 61 | 65 | 70 | 64 | 64 | 64 | 63 | 64 | 63 | 67 | 43 | 45 | 72 | 57 | 64 | 0 | 20 | 1 | 500,000$ | ||||
14 | Maxim Mamin (R) | X | 100.00 | 61 | 34 | 76 | 71 | 59 | 66 | 69 | 64 | 68 | 65 | 67 | 59 | 64 | 45 | 46 | 49 | 47 | 63 | 0 | 22 | 4 | 750,000$ | ||||
15 | Nathan Noel (R) | X | 100.00 | 65 | 39 | 72 | 51 | 77 | 74 | 67 | 55 | 66 | 75 | 71 | 49 | 62 | 46 | 48 | 44 | 29 | 63 | 0 | 22 | 1 | 500,000$ | ||||
16 | Alexandre Texier (R) | X | 100.00 | 49 | 30 | 72 | 70 | 51 | 66 | 56 | 68 | 59 | 65 | 66 | 54 | 72 | 40 | 40 | 77 | 28 | 61 | 0 | 18 | 2 | 500,000$ | ||||
17 | Alex Schoenborn (R) | X | 100.00 | 66 | 48 | 62 | 59 | 70 | 58 | 71 | 61 | 56 | 65 | 68 | 46 | 48 | 43 | 43 | 44 | 28 | 60 | 0 | 21 | 1 | 650,000$ | ||||
18 | Francis Perron (R) | X | 100.00 | 58 | 37 | 69 | 60 | 46 | 55 | 69 | 67 | 70 | 76 | 67 | 37 | 60 | 43 | 43 | 49 | 29 | 60 | 0 | 21 | 2 | 550,000$ | ||||
19 | Daniel Sprong (R) | X | 100.00 | 50 | 39 | 74 | 63 | 70 | 68 | 63 | 57 | 59 | 54 | 72 | 41 | 69 | 42 | 42 | 54 | 25 | 59 | 0 | 20 | 2 | 650,000$ | ||||
20 | Aaron Ness | X | 100.00 | 71 | 39 | 72 | 74 | 72 | 77 | 72 | 72 | 52 | 75 | 70 | 68 | 63 | 68 | 53 | 29 | 34 | 70 | 0 | 27 | 1 | 950,000$ | ||||
21 | Dillon Heatherington (R) | X | 100.00 | 68 | 24 | 86 | 67 | 67 | 70 | 76 | 65 | 49 | 69 | 58 | 81 | 59 | 55 | 45 | 45 | 63 | 69 | 0 | 22 | 3 | 800,000$ | ||||
22 | Matt Grzelcyk (R) | X | 100.00 | 69 | 26 | 71 | 78 | 63 | 68 | 71 | 73 | 47 | 75 | 52 | 70 | 57 | 56 | 49 | 43 | 45 | 67 | 0 | 23 | 1 | 800,000$ | ||||
23 | Jesse Graham (R) | X | 100.00 | 55 | 43 | 71 | 80 | 66 | 61 | 67 | 68 | 49 | 70 | 59 | 70 | 49 | 45 | 45 | 38 | 38 | 65 | 0 | 23 | 1 | 650,000$ | ||||
24 | Victor Mete (R) | X | 100.00 | 50 | 36 | 74 | 77 | 59 | 60 | 71 | 74 | 41 | 75 | 61 | 65 | 49 | 42 | 42 | 71 | 31 | 63 | 0 | 19 | 1 | 500,000$ | ||||
25 | Tarmo Reunanen (R) | X | 100.00 | 58 | 41 | 74 | 66 | 64 | 51 | 60 | 58 | 37 | 66 | 53 | 69 | 54 | 43 | 42 | 57 | 39 | 61 | 0 | 19 | 1 | 500,000$ | ||||
26 | Zachary Senyshyn (R) | X | 100.00 | 45 | 35 | 72 | 68 | 49 | 55 | 58 | 59 | 61 | 61 | 53 | 48 | 71 | 42 | 42 | 55 | 20 | 56 | 0 | 20 | 2 | 500,000$ | ||||
27 | Cameron Hughes (R) | X | 100.00 | 52 | 28 | 66 | 51 | 68 | 59 | 58 | 57 | 58 | 53 | 51 | 44 | 49 | 44 | 44 | 52 | 20 | 53 | 0 | 21 | 1 | 550,000$ | ||||
28 | Collin Miller | X | 100.00 | 72 | 28 | 74 | 70 | 65 | 71 | 71 | 75 | 52 | 66 | 70 | 77 | 57 | 67 | 51 | 36 | 28 | 70 | 0 | 25 | 1 | 925,000$ | ||||
TEAM AVERAGE | 100.00 | 70 | 39 | 77 | 71 | 71 | 72 | 72 | 71 | 65 | 72 | 71 | 65 | 67 | 58 | 52 | 44 | 41 | 69 |
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 | John Gibson | 100.00 | 81 | 82 | 85 | 75 | 76 | 91 | 90 | 72 | 76 | 86 | 84 | 68 | 54 | 44 | 35 | 80 | 1 | 24 | 1 | 3,500,000$ | |
2 | Cam Talbot | 100.00 | 66 | 84 | 68 | 83 | 84 | 72 | 77 | 83 | 79 | 71 | 55 | 62 | 65 | 40 | 43 | 76 | 0 | 30 | 3 | 2,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Connor Hellebyuk | 100.00 | 73 | 73 | 74 | 70 | 70 | 69 | 67 | 69 | 72 | 80 | 77 | 62 | 50 | 37 | 43 | 70 | 0 | 24 | 1 | 900,000$ | |
2 | Maxime Lagace (R) | 100.00 | 64 | 62 | 65 | 78 | 67 | 75 | 76 | 74 | 70 | 65 | 66 | 47 | 50 | 45 | 62 | 69 | 0 | 24 | 2 | 500,000$ | |
3 | Peyton Jones (R) | 100.00 | 55 | 64 | 62 | 53 | 60 | 60 | 63 | 52 | 58 | 61 | 55 | 41 | 41 | 61 | 20 | 58 | 0 | 21 | 1 | 500,000$ | |
TEAM AVERAGE | 100.00 | 68 | 73 | 71 | 72 | 71 | 73 | 75 | 70 | 71 | 73 | 67 | 56 | 52 | 45 | 41 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Randy Carlyle | 87 | 77 | 83 | 67 | 62 | 87 | 50 | CAN | 57 | 2 | 1,500,000$ |
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 |
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Aaron Ekblad | Blue Jackets | D | 21 | 1996-01-01 | No | 180 Lbs | 6 ft0 | No | No | No | 3 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | No | 4,000,000$ | 4,000,000$ | Link | ||||||||
Ben Chiarot | Blue Jackets | D | 26 | 1991-01-01 | Yes | 234 Lbs | 6 ft3 | No | No | No | 4 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | No | 4,000,000$ | 4,000,000$ | 4,000,000$ | Link | |||||||
Ben Hutton | Blue Jackets | D | 23 | 1994-01-01 | Yes | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 2,500,000$ | 2,500,000$ | 0$ | No | Link | ||||||||||
Blake Wheeler | Blue Jackets | RW | 31 | 1986-01-01 | No | 205 Lbs | 6 ft5 | No | No | No | 1 | Pro Only | 2,000,000$ | 2,000,000$ | 0$ | No | |||||||||||
Brian Ferlin | Blue Jackets | RW | 25 | 1992-01-01 | No | 207 Lbs | 6 ft2 | No | No | No | 3 | Pro Only | 1,500,000$ | 1,500,000$ | 0$ | No | 1,600,000$ | 1,700,000$ | |||||||||
Cam Talbot | Blue Jackets | G | 30 | 1987-01-01 | No | 196 Lbs | 6 ft4 | No | No | No | 3 | Pro Only | 2,500,000$ | 2,500,000$ | 0$ | No | 2,500,000$ | 2,000,000$ | Link | ||||||||
Colton Parayko | Blue Jackets | D | 24 | 1993-01-01 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | No | Link | ||||||||||
Dmitrij Jaskin | Blue Jackets | RW | 24 | 1993-01-01 | Yes | 204 Lbs | 6 ft3 | No | No | No | 3 | Pro Only | 1,000,000$ | 1,000,000$ | 0$ | No | 1,200,000$ | 1,400,000$ | |||||||||
Fabian Brunnstrom | Blue Jackets | LW | 32 | 1985-01-01 | No | 212 Lbs | 6 ft2 | No | No | No | 2 | Pro Only | 2,000,000$ | 2,000,000$ | 0$ | No | 2,000,000$ | ||||||||||
John Gibson | Blue Jackets | G | 24 | 1993-01-01 | No | 226 Lbs | 6 ft3 | No | No | No | 1 | Pro Only | 3,500,000$ | 3,500,000$ | 0$ | No | |||||||||||
Kyle Okposo | Blue Jackets | RW | 29 | 1988-01-01 | No | 210 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 3,500,000$ | 3,500,000$ | 0$ | No | |||||||||||
Logan Couture | Blue Jackets | C | 28 | 1989-01-01 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro Only | 2,750,000$ | 2,750,000$ | 0$ | No | |||||||||||
Michael Raffl | Blue Jackets | LW | 29 | 1988-01-01 | No | 195 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 1,000,000$ | 1,000,000$ | 0$ | No | |||||||||||
Morgan Rielly | Blue Jackets | D | 23 | 1994-01-01 | Yes | 200 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,300,000$ | 1,300,000$ | 0$ | No | 1,800,000$ | Link | |||||||||
Nail Yakupov | Blue Jackets | RW | 24 | 1993-01-01 | No | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro Only | 1,000,000$ | 1,000,000$ | 0$ | No | Link | ||||||||||
Nick Schmaltz | Blue Jackets | RW | 21 | 1996-01-01 | Yes | 177 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | No | 1,600,000$ | 2,500,000$ | Link | ||||||||
PK Subban | Blue Jackets | D | 28 | 1989-01-01 | No | 206 Lbs | 6 ft0 | No | No | No | 2 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | No | 4,000,000$ | ||||||||||
Ryan Dzingel | Blue Jackets | LW | 25 | 1992-01-01 | No | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | No | 975,000$ | ||||||||||
Ryan Kesler | Blue Jackets | C | 33 | 1984-01-01 | No | 202 Lbs | 6 ft2 | No | No | No | 2 | Pro Only | 2,750,000$ | 2,750,000$ | 0$ | No | 2,500,000$ | ||||||||||
Sidney Crosby | Blue Jackets | C | 30 | 1987-01-01 | No | 200 Lbs | 5 ft11 | No | No | No | 4 | Pro Only | 7,500,000$ | 7,500,000$ | 0$ | No | 7,500,000$ | 7,000,000$ | 6,000,000$ | ||||||||
Teuvo Teravainen | Blue Jackets | LW | 23 | 1994-01-01 | No | 169 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 3,000,000$ | 3,000,000$ | 0$ | No | Link | ||||||||||
Travis Hamonic | Blue Jackets | D | 27 | 1990-01-01 | No | 203 Lbs | 6 ft2 | No | No | No | 1 | Pro Only | 5,000,000$ | 5,000,000$ | 0$ | No | |||||||||||
William Karlsson | Blue Jackets | C | 24 | 1993-01-01 | No | 188 Lbs | 6 ft1 | No | No | No | 3 | Pro Only | 1,750,000$ | 1,750,000$ | 0$ | No | 1,750,000$ | 2,250,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 26.26 | 198 Lbs | 6 ft1 | 2.00 | 2,720,652$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
62,575,000$ | 35,425,000$ | 24,850,000$ | 10,000,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Teuvo Teravainen | Sidney Crosby | Nick Schmaltz | 40 | 1 | 2 | 2 |
2 | Fabian Brunnstrom | Logan Couture | Nail Yakupov | 30 | 1 | 2 | 2 |
3 | Michael Raffl | Ryan Kesler | Kyle Okposo | 20 | 1 | 2 | 2 |
4 | Ryan Dzingel | William Karlsson | Blake Wheeler | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Colton Parayko | Travis Hamonic | 40 | 1 | 2 | 2 | |
2 | Aaron Ekblad | PK Subban | 30 | 1 | 2 | 2 | |
3 | Ben Hutton | Morgan Rielly | 20 | 1 | 2 | 2 | |
4 | Colton Parayko | Travis Hamonic | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Teuvo Teravainen | Sidney Crosby | Kyle Okposo | 60 | 1 | 2 | 2 |
2 | Fabian Brunnstrom | Logan Couture | Blake Wheeler | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Colton Parayko | Travis Hamonic | 60 | 1 | 2 | 2 | |
2 | Aaron Ekblad | PK Subban | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Sidney Crosby | Teuvo Teravainen | 60 | 1 | 2 | 2 |
2 | Logan Couture | Fabian Brunnstrom | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Colton Parayko | Travis Hamonic | 60 | 1 | 2 | 2 |
2 | Aaron Ekblad | PK Subban | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Sidney Crosby | 60 | 1 | 2 | 2 | Colton Parayko | Travis Hamonic | 60 | 1 | 2 | 2 |
2 | Logan Couture | 40 | 1 | 2 | 2 | Aaron Ekblad | PK Subban | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Sidney Crosby | Teuvo Teravainen | 60 | 1 | 2 | 2 |
2 | Logan Couture | Fabian Brunnstrom | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Colton Parayko | Travis Hamonic | 60 | 1 | 2 | 2 |
2 | Aaron Ekblad | PK Subban | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Teuvo Teravainen | Sidney Crosby | Kyle Okposo | Colton Parayko | Travis Hamonic |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Teuvo Teravainen | Sidney Crosby | Kyle Okposo | Colton Parayko | Travis Hamonic |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Fabian Brunnstrom, Ryan Kesler, Blake Wheeler | Fabian Brunnstrom, Ryan Kesler | Fabian Brunnstrom |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
PK Subban, Ben Hutton, Morgan Rielly | PK Subban | PK Subban, Ben Hutton |
Penalty Shots |
---|
Sidney Crosby, Teuvo Teravainen, Kyle Okposo, Logan Couture, Fabian Brunnstrom |
Goalie |
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#1 : John Gibson, #2 : Cam Talbot |
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 | ||||||||
---|---|---|---|---|---|---|---|---|
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 | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
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 |
40 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 62,575,000$ | 47,775,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 237,776$ | 23 | 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$ | 2,818,628$ | 2,818,628$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 65,818,628$ | 65,818,628$ | -35,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
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Year | R1 | R2 | R3 | R4 | R5 |
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3 | |||||
4 | |||||
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6 | |||||
7 |
Il y a presque 1 an que le dg Juteau à pris possession des Jackets et le moins qu'on puisse dire c'est que le visage de l'organisation a changé. De l'édition qui était du vestiaire au 1e jour du dg, il reste seulement 4 joueurs.
Questionné a ce sujet le dg avait une explication à tous ces changements: " Nous tentons d'inculquer une culture gagnante aux joueurs dans cette équipe. Certain joueurs n'avaient pas ce profil. Rappelez vous de l'état de l'équipe lors de mon arrivée. Je devais faire quelques chose et bien sûr cela passait entre autres par le marché des transactions. Ça nous a réussi l'an dernier passant de la dernière position à un petit point des séries. Maintenant cette année on doit continuer dans cette veine et les succès viendront. "
Questionné a savoir pourquoi il avait échangé le jeune Séguin plus tôt cette semaine le dg s'est fait rassurant: " Nous avons réfléchis cette transaction très longuement. On a amélioré l'aile avec Sheahan tout en amenant un centre de qualité, un vétéran aguérit qui amène une tonne de leadership. Ne soyez pas surpris de le voir prochainement avec un "C" sur son chandail. Des leaders de sa trempe ça en prend dans un vestiaire et en plus c'est tout un joueur de hockey. On a également profiter de cette transaction pour rajouter à notre banque de choix qui est un peu dégarni."
N'oublions pas qu'en plus, ce sont 2 nouveaux cerbères qui se retrouvent devant le filet cette année. Il va s'en dire que le dg ne chôment pas à Colombus. Est-ce que ses décisions continueront de porter fruit? Bien que le principal intéressé semble confiant, ce sont les résultats sur la patinoire qui dicteront l'allure du travail accompli dans les derniers mois.
Le travail continue ce soir face aux Hawks, toujours invaincus en 5 parties jusqu'ici cette saison. C'est le gardien auxiliaire à Neuvirth, Cam Talbot qui aura la lourde tâche de freiner les canons des Hawks à son tout premier match de la saison.
Ici Jean-Luc Grand Pierre en direct de Colombus
Bon ski bon snow mesdames messieurs!
New Comment# | 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 |
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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 |
# | 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 |
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