Columbus Blue Jackets | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Trent Minnick | Morale : 50 | Team Overall : 70 |
|
|
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 | Aleksander Barkov (A) | X | 100.00 | 74 | 40 | 91 | 87 | 84 | 86 | 85 | 82 | 85 | 91 | 75 | 78 | 71 | 76 | 79 | 0 | 50 | 82 | 0 | 28 | 4 | 12,000,000$ | ||||
2 | Drake Batherson | X | X | 100.00 | 75 | 64 | 84 | 76 | 76 | 80 | 88 | 72 | 56 | 82 | 70 | 67 | 80 | 61 | 58 | 0 | 50 | 74 | 0 | 25 | 3 | 7,250,000$ | |||
3 | Jonathan Huberdeau | X | 100.00 | 71 | 40 | 81 | 75 | 79 | 76 | 91 | 71 | 54 | 83 | 70 | 70 | 76 | 79 | 68 | 0 | 50 | 74 | 0 | 30 | 3 | 7,250,000$ | ||||
4 | Josh Anderson | X | X | 100.00 | 81 | 64 | 77 | 73 | 86 | 76 | 87 | 65 | 60 | 72 | 73 | 67 | 61 | 69 | 65 | 0 | 50 | 72 | 0 | 29 | 2 | 5,000,000$ | |||
5 | Nicklas Backstrom | X | 100.00 | 68 | 40 | 83 | 72 | 80 | 76 | 71 | 66 | 76 | 77 | 64 | 70 | 69 | 90 | 61 | 0 | 50 | 71 | 0 | 35 | 1 | 5,500,000$ | ||||
6 | Eeli Tolvanen | X | 100.00 | 77 | 40 | 87 | 68 | 79 | 70 | 83 | 66 | 53 | 73 | 73 | 71 | 54 | 60 | 58 | 0 | 50 | 71 | 0 | 24 | 5 | 3,250,000$ | ||||
7 | Nicolas Roy | X | 100.00 | 73 | 40 | 83 | 73 | 76 | 74 | 86 | 65 | 75 | 75 | 68 | 76 | 58 | 61 | 58 | 0 | 50 | 71 | 0 | 26 | 3 | 2,000,000$ | ||||
8 | Sam Lafferty | X | 100.00 | 75 | 68 | 85 | 71 | 76 | 70 | 84 | 63 | 77 | 74 | 67 | 75 | 54 | 61 | 58 | 0 | 50 | 70 | 0 | 28 | 4 | 1,200,000$ | ||||
9 | Lars Eller | X | X | 100.00 | 75 | 40 | 78 | 71 | 80 | 71 | 92 | 61 | 82 | 72 | 64 | 77 | 58 | 85 | 61 | 0 | 50 | 70 | 0 | 34 | 2 | 1,500,000$ | |||
10 | Derek Grant | X | 100.00 | 69 | 40 | 78 | 62 | 81 | 71 | 77 | 62 | 82 | 76 | 62 | 77 | 54 | 68 | 59 | 0 | 50 | 69 | 0 | 33 | 1 | 1,600,000$ | ||||
11 | Brandon Duhaime | X | 100.00 | 83 | 73 | 81 | 66 | 78 | 61 | 80 | 59 | 53 | 68 | 67 | 73 | 54 | 58 | 58 | 0 | 50 | 68 | 0 | 26 | 2 | 990,000$ | ||||
12 | Justin Danforth | X | 100.00 | 64 | 40 | 71 | 57 | 80 | 70 | 63 | 58 | 53 | 73 | 73 | 61 | 54 | 56 | 58 | 0 | 50 | 66 | 0 | 30 | 2 | 1,000,000$ | ||||
13 | Filip Zadina | X | X | 100.00 | 68 | 41 | 83 | 65 | 75 | 66 | 71 | 57 | 53 | 70 | 60 | 70 | 58 | 60 | 58 | 0 | 50 | 65 | 0 | 23 | 2 | 930,000$ | |||
14 | Alex Belzile | X | 100.00 | 63 | 61 | 76 | 65 | 71 | 62 | 59 | 61 | 62 | 66 | 63 | 67 | 54 | 64 | 60 | 0 | 50 | 64 | 0 | 32 | 2 | 945,000$ | ||||
15 | Justin Brazeau | X | 100.00 | 54 | 57 | 67 | 63 | 72 | 67 | 65 | 61 | 55 | 60 | 60 | 62 | 54 | 61 | 56 | 0 | 50 | 62 | 0 | 25 | 2 | 775,000$ | ||||
16 | Adam Pelech | X | 100.00 | 70 | 40 | 76 | 78 | 81 | 87 | 86 | 62 | 40 | 75 | 63 | 92 | 54 | 69 | 59 | 0 | 50 | 75 | 0 | 29 | 3 | 5,750,000$ | ||||
17 | Jacob Trouba | X | 100.00 | 80 | 71 | 80 | 74 | 78 | 86 | 93 | 63 | 40 | 76 | 62 | 85 | 54 | 76 | 69 | 0 | 50 | 74 | 0 | 29 | 4 | 6,500,000$ | ||||
18 | Erik Cernak | X | 100.00 | 85 | 64 | 78 | 69 | 87 | 82 | 87 | 60 | 40 | 74 | 59 | 88 | 54 | 64 | 59 | 0 | 50 | 73 | 0 | 26 | 2 | 4,200,000$ | ||||
19 | Jake Bean | X | 100.00 | 64 | 40 | 81 | 68 | 77 | 73 | 68 | 61 | 40 | 77 | 58 | 77 | 54 | 58 | 58 | 0 | 50 | 68 | 0 | 25 | 1 | 2,750,000$ | ||||
20 | Andreas Englund | X | 100.00 | 74 | 72 | 82 | 58 | 69 | 62 | 66 | 55 | 40 | 66 | 56 | 82 | 54 | 58 | 58 | 0 | 50 | 65 | 0 | 27 | 2 | 950,000$ | ||||
21 | Nikolai Knyzhov | X | 100.00 | 59 | 49 | 70 | 55 | 78 | 64 | 58 | 54 | 40 | 59 | 56 | 66 | 54 | 59 | 57 | 0 | 50 | 60 | 0 | 25 | 2 | 950,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Philip Broberg | X | 100.00 | 64 | 42 | 89 | 60 | 74 | 64 | 65 | 57 | 40 | 70 | 57 | 78 | 54 | 56 | 57 | 0 | 50 | 65 | 0 | 22 | 2 | 975,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Graeme Clarke | X | 100.00 | 54 | 57 | 67 | 65 | 59 | 67 | 65 | 64 | 55 | 60 | 63 | 61 | 62 | 55 | 53 | 0 | 50 | 62 | 0 | 22 | 2 | 875,000$ | ||||
2 | Dominic Toninato | X | 100.00 | 55 | 58 | 67 | 61 | 67 | 64 | 62 | 59 | 69 | 57 | 60 | 62 | 54 | 67 | 60 | 0 | 50 | 61 | 0 | 29 | 1 | 950,000$ | ||||
3 | Hugh McGing | X | 100.00 | 56 | 57 | 64 | 60 | 57 | 68 | 66 | 60 | 55 | 58 | 60 | 61 | 54 | 60 | 56 | 0 | 50 | 60 | 0 | 25 | 1 | 725,000$ | ||||
4 | William Eklund (R) | X | 100.00 | 56 | 56 | 65 | 61 | 60 | 67 | 62 | 60 | 55 | 60 | 61 | 58 | 54 | 54 | 53 | 0 | 50 | 60 | 0 | 20 | 3 | 975,000$ | ||||
5 | Max Willman | X | 100.00 | 57 | 54 | 67 | 59 | 62 | 65 | 63 | 57 | 55 | 58 | 57 | 61 | 54 | 64 | 59 | 0 | 50 | 59 | 0 | 28 | 1 | 950,000$ | ||||
6 | Carson Meyer | X | 100.00 | 60 | 51 | 70 | 59 | 64 | 60 | 59 | 56 | 54 | 61 | 56 | 64 | 54 | 60 | 57 | 0 | 50 | 59 | 0 | 26 | 2 | 700,000$ | ||||
7 | Jonathan Gruden | X | 100.00 | 56 | 56 | 65 | 58 | 59 | 64 | 63 | 59 | 69 | 57 | 60 | 59 | 54 | 57 | 54 | 0 | 50 | 59 | 0 | 23 | 2 | 825,000$ | ||||
8 | Michal Teply | X | 100.00 | 54 | 57 | 67 | 59 | 63 | 65 | 63 | 58 | 55 | 57 | 57 | 56 | 60 | 55 | 53 | 0 | 50 | 58 | 0 | 22 | 2 | 825,000$ | ||||
9 | Kristian Vesalainen | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 24 | 1 | 700,000$ | ||||
10 | William Lagesson | X | 100.00 | 55 | 60 | 65 | 59 | 67 | 67 | 65 | 59 | 40 | 58 | 58 | 63 | 54 | 64 | 58 | 0 | 50 | 60 | 0 | 27 | 2 | 950,000$ | ||||
11 | Filip Berglund | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 26 | 1 | 700,000$ | ||||
12 | Tye Felhaber | X | 100.00 | 54 | 54 | 68 | 56 | 60 | 58 | 57 | 56 | 55 | 55 | 57 | 59 | 54 | 61 | 56 | 0 | 50 | 57 | 0 | 25 | 1 | 625,000$ | ||||
13 | Reece Newkirk | X | 100.00 | 56 | 54 | 67 | 55 | 60 | 57 | 57 | 55 | 70 | 55 | 54 | 60 | 54 | 55 | 53 | 0 | 50 | 56 | 0 | 22 | 2 | 775,000$ | ||||
TEAM AVERAGE | 100.00 | 65 | 53 | 74 | 65 | 72 | 69 | 71 | 61 | 57 | 67 | 62 | 69 | 57 | 63 | 59 | 0 | 50 | 65 |
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 | Igor Shesterkin | 100.00 | 88 | 95 | 95 | 76 | 84 | 76 | 91 | 88 | 89 | 73 | 93 | 63 | 61 | 0 | 50 | 86 | 0 | 27 | 5 | 8,500,000$ | |
2 | Laurent Brossoit | 100.00 | 67 | 60 | 61 | 75 | 74 | 71 | 74 | 66 | 66 | 57 | 67 | 67 | 59 | 0 | 50 | 68 | 0 | 30 | 1 | 1,250,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Maxime Lagace | 100.00 | 76 | 55 | 56 | 81 | 60 | 83 | 60 | 67 | 63 | 61 | 55 | 56 | 55 | 0 | 50 | 66 | 0 | 30 | 1 | 950,000$ | |
2 | Jet Greaves | 100.00 | 61 | 66 | 66 | 62 | 68 | 59 | 67 | 66 | 57 | 60 | 61 | 54 | 51 | 0 | 50 | 63 | 0 | 22 | 2 | 625,000$ | |
3 | Zachary Fucale | 100.00 | 60 | 53 | 51 | 78 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 69 | 73 | 0 | 50 | 60 | 0 | 28 | 1 | 950,000$ | |
TEAM AVERAGE | 100.00 | 70 | 66 | 66 | 74 | 69 | 69 | 70 | 69 | 67 | 62 | 67 | 62 | 60 | 0 | 50 | 69 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
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 |
---|
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 |
---|
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 | Waiver Possible | 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 Pelech | Columbus Blue Jackets | D | 29 | 1994-08-16 | No | 210 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 5,750,000$ | 2,875,000$ | 5,750,000$ | 2,875,000$ | No | 5,750,000$ | 5,750,000$ | Link | |||||||
Aleksander Barkov | Columbus Blue Jackets | C | 28 | 1995-09-02 | No | 215 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 12,000,000$ | 6,000,000$ | 12,000,000$ | 6,000,000$ | No | 12,000,000$ | 12,000,000$ | 12,000,000$ | Link | ||||||
Alex Belzile | Columbus Blue Jackets | C | 32 | 1991-08-31 | No | 196 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 945,000$ | 472,500$ | 945,000$ | 472,500$ | No | 945,000$ | Link | ||||||||
Andreas Englund | Columbus Blue Jackets | D | 27 | 1996-01-21 | No | 189 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 950,000$ | 475,000$ | No | 950,000$ | Link | ||||||||
Brandon Duhaime | Columbus Blue Jackets | C | 26 | 1997-05-22 | No | 200 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 990,000$ | 495,000$ | 990,000$ | 495,000$ | No | 990,000$ | Link | ||||||||
Derek Grant | Columbus Blue Jackets | C | 33 | 1990-04-20 | No | 210 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 1,600,000$ | 800,000$ | 1,600,000$ | 800,000$ | No | Link | |||||||||
Drake Batherson | Columbus Blue Jackets | C/RW | 25 | 1998-04-27 | No | 200 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 7,250,000$ | 3,625,000$ | 7,250,000$ | 3,625,000$ | No | 7,250,000$ | 7,250,000$ | Link | |||||||
Eeli Tolvanen | Columbus Blue Jackets | RW | 24 | 1999-04-22 | No | 191 Lbs | 5 ft10 | No | No | No | No | 5 | Pro & Farm | 3,250,000$ | 1,625,000$ | 3,250,000$ | 1,625,000$ | No | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | Link | |||||
Erik Cernak | Columbus Blue Jackets | D | 26 | 1997-05-28 | No | 224 Lbs | 6 ft4 | No | No | No | No | 2 | Pro & Farm | 4,200,000$ | 2,100,000$ | 4,200,000$ | 2,100,000$ | No | 4,200,000$ | Link | ||||||||
Filip Zadina | Columbus Blue Jackets | LW/RW | 23 | 1999-11-27 | No | 190 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 930,000$ | 465,000$ | 930,000$ | 465,000$ | No | 930,000$ | Link | ||||||||
Igor Shesterkin | Columbus Blue Jackets | G | 27 | 1995-12-30 | No | 189 Lbs | 6 ft1 | No | No | No | No | 5 | Pro & Farm | 8,500,000$ | 4,250,000$ | 8,500,000$ | 4,250,000$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | Link | |||||
Jacob Trouba | Columbus Blue Jackets | D | 29 | 1994-02-26 | No | 203 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 6,500,000$ | 3,250,000$ | 6,500,000$ | 3,250,000$ | No | 6,500,000$ | 6,500,000$ | 6,500,000$ | Link | ||||||
Jake Bean | Columbus Blue Jackets | D | 25 | 1998-06-09 | No | 196 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 2,750,000$ | 1,375,000$ | 2,750,000$ | 1,375,000$ | No | Link | |||||||||
Jonathan Huberdeau | Columbus Blue Jackets | LW | 30 | 1993-06-04 | No | 200 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 7,250,000$ | 3,625,000$ | 7,250,000$ | 3,625,000$ | No | 7,250,000$ | 7,250,000$ | Link | |||||||
Josh Anderson | Columbus Blue Jackets | LW/RW | 29 | 1994-05-07 | No | 218 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 5,000,000$ | 2,500,000$ | 5,000,000$ | 2,500,000$ | No | 5,000,000$ | Link | ||||||||
Justin Brazeau | Columbus Blue Jackets | C | 25 | 1998-02-02 | No | 220 Lbs | 6 ft5 | No | No | No | No | 2 | Pro & Farm | 775,000$ | 387,500$ | 775,000$ | 387,500$ | No | 775,000$ | Link | ||||||||
Justin Danforth | Columbus Blue Jackets | C | 30 | 1993-03-15 | No | 190 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 1,000,000$ | 500,000$ | 1,000,000$ | 500,000$ | No | 1,000,000$ | Link | ||||||||
Lars Eller | Columbus Blue Jackets | C/LW | 34 | 1989-05-08 | No | 205 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 1,500,000$ | 750,000$ | 1,500,000$ | 750,000$ | No | 1,500,000$ | Link | ||||||||
Laurent Brossoit | Columbus Blue Jackets | G | 30 | 1993-03-23 | No | 215 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 1,250,000$ | 625,000$ | 1,250,000$ | 625,000$ | No | Link | |||||||||
Nicklas Backstrom | Columbus Blue Jackets | C | 35 | 1987-11-23 | No | 202 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 5,500,000$ | 2,750,000$ | 5,500,000$ | 2,750,000$ | No | Link | |||||||||
Nicolas Roy | Columbus Blue Jackets | C | 26 | 1997-02-05 | No | 202 Lbs | 6 ft4 | No | No | No | No | 3 | Pro & Farm | 2,000,000$ | 1,000,000$ | 2,000,000$ | 1,000,000$ | No | 2,000,000$ | 2,000,000$ | Link | |||||||
Nikolai Knyzhov | Columbus Blue Jackets | D | 25 | 1998-03-20 | No | 222 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 950,000$ | 475,000$ | No | 950,000$ | Link | ||||||||
Philip Broberg | Columbus Blue Jackets | D | 22 | 2001-06-25 | No | 199 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 975,000$ | 487,500$ | 975,000$ | 487,500$ | No | 975,000$ | Link | ||||||||
Sam Lafferty | Columbus Blue Jackets | C | 28 | 1995-03-06 | No | 195 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 1,200,000$ | 600,000$ | 1,200,000$ | 600,000$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 27.83 | 203 Lbs | 6 ft2 | 2.50 | 3,458,958$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
83,015,000$ | 71,915,000$ | 53,700,000$ | 31,450,000$ | 11,750,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Filip Zadina | Aleksander Barkov | Drake Batherson | 35 | 1 | 2 | 2 |
2 | Jonathan Huberdeau | Nicolas Roy | Eeli Tolvanen | 30 | 1 | 2 | 2 |
3 | Sam Lafferty | Josh Anderson | Lars Eller | 25 | 1 | 2 | 2 |
4 | Brandon Duhaime | Derek Grant | Justin Danforth | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Pelech | Jacob Trouba | 35 | 1 | 2 | 2 | |
2 | Erik Cernak | Jake Bean | 30 | 1 | 2 | 2 | |
3 | Nikolai Knyzhov | Andreas Englund | 25 | 1 | 2 | 2 | |
4 | Adam Pelech | Jacob Trouba | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Filip Zadina | Josh Anderson | Lars Eller | 60 | 1 | 2 | 2 |
2 | Eeli Tolvanen | Drake Batherson | Nicolas Roy | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Pelech | Jacob Trouba | 60 | 1 | 2 | 2 | |
2 | Erik Cernak | Jake Bean | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Josh Anderson | Sam Lafferty | 60 | 1 | 2 | 2 |
2 | Lars Eller | Derek Grant | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jacob Trouba | Adam Pelech | 60 | 1 | 2 | 2 |
2 | Jake Bean | Erik Cernak | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Jonathan Huberdeau | 60 | 1 | 2 | 2 | Jacob Trouba | Adam Pelech | 60 | 1 | 2 | 2 |
2 | Brandon Duhaime | 40 | 1 | 2 | 2 | Andreas Englund | Jake Bean | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Lars Eller | Filip Zadina | 60 | 1 | 2 | 2 |
2 | Josh Anderson | Sam Lafferty | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Adam Pelech | Jacob Trouba | 60 | 1 | 2 | 2 |
2 | Erik Cernak | Andreas Englund | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Sam Lafferty | Josh Anderson | Lars Eller | Adam Pelech | Jacob Trouba |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Sam Lafferty | Josh Anderson | Lars Eller | Adam Pelech | Jacob Trouba |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Filip Zadina, Aleksander Barkov, Drake Batherson | Jonathan Huberdeau, Josh Anderson | Justin Danforth |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jacob Trouba, Adam Pelech, Erik Cernak | Jacob Trouba | Jake Bean, Adam Pelech |
Penalty Shots |
---|
Filip Zadina, Aleksander Barkov, Drake Batherson, Jonathan Huberdeau, Josh Anderson |
Goalie |
---|
#1 : Igor Shesterkin, #2 : Laurent Brossoit |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | 90 | 50 | 30 | 15 | 180 |
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$ | 83,015,000$ | 46,515,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 24 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 14 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 23,467,521$ | 23,467,521$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 86,625,000$ | 86,625,000$ | -61,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 | Link |
---|---|---|---|---|---|
Aiden Thompson | Columbus Blue Jackets | 0 | 0 | ||
Alexeyev Yaroslav | Columbus Blue Jackets | 0 | 0 | ||
Alexsanteri Kaskimaki | Columbus Blue Jackets | 0 | 0 | ||
Angus Booth | Columbus Blue Jackets | 0 | 0 | ||
Cameron Whitehead | Columbus Blue Jackets | 0 | 0 | ||
Charles Leddy | Columbus Blue Jackets | 0 | 0 | ||
Dans Locmelis | Columbus Blue Jackets | 0 | 0 | ||
Eric Hjorth | Columbus Blue Jackets | 0 | 0 | ||
Garrett Brown | Columbus Blue Jackets | 0 | 0 | ||
George Fegaras | Columbus Blue Jackets | 0 | 0 | ||
Jacob Ingham | Columbus Blue Jackets | 0 | 0 | ||
Kenny Connors | Columbus Blue Jackets | 0 | 0 | ||
Ludviq Jansson | Columbus Blue Jackets | 0 | 0 | ||
Matt Maggio | Columbus Blue Jackets | 0 | 0 | ||
Tyson Jugnauth | Columbus Blue Jackets | 0 | 0 | ||
Wouter Peeters | Columbus Blue Jackets | 0 | 0 |
Year | R1 | R2 | R3 |
---|---|---|---|
2024 | |||
2025 | |||
2026 | |||
2027 | |||
2028 |
# | 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 | Aleksander Barkov | 68 | 29 | 31 | 60 | -8 | 38 | 65 | 213 | 251 | 11.55% | 11 | 1435 | 21.11 | 6 | 10 | 16 | 35 | 0 | 0 | 0 | 4 | 5 | 3 | 57.23% | 0 | 0.84 | 2 | 7 |
2 | Drake Batherson | 82 | 15 | 37 | 52 | -13 | 37 | 116 | 91 | 177 | 8.47% | 8 | 1593 | 19.43 | 7 | 14 | 21 | 49 | 0 | 0 | 0 | 1 | 2 | 1 | 38.55% | 0 | 0.65 | 0 | 6 |
3 | Adam Pelech | 82 | 12 | 39 | 51 | -4 | 55 | 89 | 127 | 160 | 7.50% | 150 | 2070 | 25.25 | 5 | 10 | 15 | 87 | 0 | 0 | 0 | 3 | 3 | 2 | 0% | 0 | 0.49 | 0 | 0 |
4 | Jonathan Huberdeau | 82 | 24 | 25 | 49 | -11 | 42 | 99 | 121 | 214 | 11.21% | 12 | 1649 | 20.11 | 6 | 4 | 10 | 35 | 0 | 1 | 1 | 1 | 3 | 3 | 43.32% | 0 | 0.59 | 1 | 7 |
5 | Jacob Trouba | 82 | 13 | 33 | 46 | -11 | 137 | 138 | 116 | 116 | 11.21% | 123 | 1882 | 22.96 | 5 | 14 | 19 | 60 | 1 | 0 | 1 | 1 | 1 | 0 | 0% | 0 | 0.49 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Igor Shesterkin | 56 | 24 | 28 | 4 | 0.892 | 3.25 | 3361 | 2 | 3 | 182 | 1691 | 0 | 0 | 0 | 0.714 | 14 |
2 | Laurent Brossoit | 27 | 10 | 14 | 2 | 0.885 | 3.29 | 1606 | 2 | 0 | 88 | 766 | 0 | 1 | 0 | 0.929 | 14 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2023 | 82 | 25 | 42 | 0 | 4 | 2 | 5 | 4 | 221 | 274 | -53 | 41 | 14 | 23 | 0 | 2 | 0 | 1 | 1 | 100 | 129 | -29 | 41 | 11 | 19 | 0 | 2 | 2 | 4 | 3 | 121 | 145 | -24 | 74 | 221 | 390 | 611 | 0 | 3 | 73 | 73 | 66 | 11 | 2288 | 751 | 776 | 734 | 58 | 2457 | 711 | 895 | 1601 | 308 | 55 | 17.86% | 343 | 84 | 75.51% | 1 | 1458 | 2790 | 52.26% | 1485 | 2888 | 51.42% | 652 | 1282 | 50.86% | 1887 | 1258 | 1995 | 642 | 1090 | 536 |
Total Regular Season | 82 | 25 | 42 | 0 | 4 | 2 | 5 | 4 | 221 | 274 | -53 | 41 | 14 | 23 | 0 | 2 | 0 | 1 | 1 | 100 | 129 | -29 | 41 | 11 | 19 | 0 | 2 | 2 | 4 | 3 | 121 | 145 | -24 | 74 | 221 | 390 | 611 | 0 | 3 | 73 | 73 | 66 | 11 | 2288 | 751 | 776 | 734 | 58 | 2457 | 711 | 895 | 1601 | 308 | 55 | 17.86% | 343 | 84 | 75.51% | 1 | 1458 | 2790 | 52.26% | 1485 | 2888 | 51.42% | 652 | 1282 | 50.86% | 1887 | 1258 | 1995 | 642 | 1090 | 536 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 24 | 15 | 9 | 0 | 0 | 0 | 0 | 0 | 85 | 68 | 17 | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 43 | 37 | 6 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 42 | 31 | 11 | 30 | 85 | 155 | 240 | 0 | 0 | 29 | 26 | 29 | 1 | 767 | 236 | 258 | 268 | 5 | 830 | 211 | 178 | 517 | 83 | 16 | 19.28% | 86 | 16 | 81.40% | 0 | 454 | 863 | 52.61% | 492 | 921 | 53.42% | 189 | 391 | 48.34% | 572 | 394 | 567 | 181 | 310 | 153 |
Total Playoff | 24 | 15 | 9 | 0 | 0 | 0 | 0 | 0 | 85 | 68 | 17 | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 43 | 37 | 6 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 42 | 31 | 11 | 30 | 85 | 155 | 240 | 0 | 0 | 29 | 26 | 29 | 1 | 767 | 236 | 258 | 268 | 5 | 830 | 211 | 178 | 517 | 83 | 16 | 19.28% | 86 | 16 | 81.40% | 0 | 454 | 863 | 52.61% | 492 | 921 | 53.42% | 189 | 391 | 48.34% | 572 | 394 | 567 | 181 | 310 | 153 |
# | 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 | Aleksander Barkov | 24 | 9 | 20 | 29 | 12 | 4 | 31 | 60 | 106 | 8.49% | 3 | 486 | 20.28 | 1 | 4 | 5 | 15 | 0 | 0 | 0 | 2 | 1 | 0 | 54.65% | 0 | 1.19 | 0 | 0 |
2 | Jonathan Huberdeau | 24 | 13 | 14 | 27 | 13 | 8 | 42 | 40 | 62 | 20.97% | 0 | 500 | 20.84 | 3 | 3 | 6 | 17 | 0 | 0 | 0 | 1 | 2 | 0 | 38.68% | 0 | 1.08 | 0 | 0 |
3 | Steven Stamkos | 24 | 6 | 18 | 24 | 12 | 8 | 30 | 24 | 85 | 7.06% | 3 | 485 | 20.23 | 2 | 2 | 4 | 20 | 0 | 0 | 0 | 1 | 1 | 0 | 57.58% | 0 | 0.99 | 0 | 0 |
4 | John Carlson | 24 | 8 | 13 | 21 | 5 | 12 | 12 | 39 | 46 | 17.39% | 44 | 616 | 25.69 | 4 | 4 | 8 | 25 | 0 | 0 | 0 | 0 | 3 | 0 | 0% | 0 | 0.68 | 0 | 0 |
5 | Anze Kopitar | 24 | 6 | 13 | 19 | 1 | 2 | 16 | 64 | 76 | 7.89% | 5 | 476 | 19.84 | 0 | 6 | 6 | 11 | 0 | 0 | 0 | 2 | 1 | 2 | 56.49% | 0 | 0.80 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Igor Shesterkin | 24 | 15 | 6 | 3 | 0.918 | 2.81 | 1450 | 4 | 0 | 68 | 830 | 0 | 0 | 0 | 0 | 0 |