Blue Jackets | |
GP: 14 | W: 7 | L: 5 | OTL: 2 | P: 16 GF: 35 | GA: 36 | PP%: 11.32% | PK%: 83.93% GM : Vincent Tardif | Morale : 40 | Team Overall : 68 |
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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 | Matthew Tkachuk (C) | X | 100.00 | 73 | 67 | 58 | 82 | 76 | 85 | 98 | 99 | 39 | 94 | 94 | 64 | 35 | 70 | 71 | 86 | 40 | 78 | 0 | 25 | 8 | 9,500,000$ | ||||
2 | Johnny Gaudreau (A) | X | 100.00 | 57 | 39 | 90 | 92 | 59 | 81 | 98 | 88 | 25 | 88 | 77 | 63 | 53 | 75 | 76 | 78 | 40 | 74 | 0 | 30 | 7 | 9,750,000$ | ||||
3 | Marcus Johansson | X | X | 100.00 | 61 | 42 | 96 | 80 | 75 | 74 | 92 | 84 | 41 | 77 | 75 | 69 | 41 | 80 | 85 | 76 | 40 | 72 | 0 | 32 | 1 | 1,100,000$ | |||
4 | Taylor Hall | X | 100.00 | 67 | 43 | 88 | 90 | 75 | 72 | 88 | 77 | 38 | 76 | 77 | 62 | 55 | 78 | 80 | 76 | 40 | 72 | 0 | 31 | 3 | 6,000,000$ | ||||
5 | Andrew Mangiapane | X | X | 100.00 | 75 | 43 | 85 | 88 | 65 | 75 | 99 | 76 | 35 | 76 | 72 | 71 | 25 | 69 | 70 | 76 | 40 | 71 | 0 | 27 | 3 | 5,800,000$ | |||
6 | Jack Roslovic | X | X | 100.00 | 65 | 42 | 95 | 82 | 69 | 74 | 96 | 74 | 79 | 80 | 66 | 73 | 25 | 69 | 69 | 73 | 40 | 70 | 0 | 26 | 2 | 4,000,000$ | |||
7 | Casey Cizikas | X | 100.00 | 88 | 58 | 81 | 79 | 71 | 68 | 95 | 61 | 91 | 65 | 58 | 84 | 75 | 79 | 83 | 69 | 40 | 69 | 0 | 32 | 5 | 2,500,000$ | ||||
8 | Sean Kuraly | X | X | 100.00 | 91 | 46 | 73 | 76 | 78 | 70 | 91 | 60 | 88 | 61 | 68 | 86 | 25 | 67 | 70 | 72 | 40 | 68 | 0 | 30 | 3 | 2,500,000$ | |||
9 | Eric Robinson | X | 100.00 | 82 | 45 | 97 | 75 | 73 | 66 | 87 | 57 | 31 | 63 | 70 | 84 | 25 | 65 | 65 | 73 | 40 | 67 | 0 | 28 | 2 | 1,600,000$ | ||||
10 | Anthony Duclair | X | X | 100.00 | 75 | 43 | 96 | 90 | 70 | 69 | 64 | 63 | 25 | 77 | 59 | 63 | 77 | 72 | 73 | 68 | 40 | 66 | 0 | 28 | 2 | 3,000,000$ | |||
11 | Kent Johnson (R) | X | X | 100.00 | 59 | 40 | 93 | 76 | 63 | 67 | 77 | 71 | 40 | 75 | 72 | 59 | 75 | 55 | 55 | 71 | 40 | 65 | 0 | 20 | 2 | 1,850,000$ | |||
12 | Teddy Blueger | X | X | 100.00 | 76 | 43 | 85 | 75 | 68 | 65 | 81 | 60 | 85 | 65 | 57 | 85 | 25 | 65 | 66 | 67 | 40 | 65 | 0 | 29 | 1 | 2,200,000$ | |||
13 | Emil Bemstrom | X | X | 100.00 | 61 | 41 | 96 | 82 | 70 | 62 | 78 | 69 | 37 | 72 | 64 | 60 | 25 | 61 | 61 | 67 | 40 | 64 | 0 | 24 | 2 | 900,000$ | |||
14 | Justin Danforth | X | X | 100.00 | 75 | 65 | 83 | 73 | 65 | 51 | 53 | 59 | 65 | 53 | 66 | 63 | 42 | 49 | 49 | 52 | 40 | 58 | 0 | 30 | 2 | 975,000$ | |||
15 | Erik Gudbranson | X | 100.00 | 82 | 76 | 77 | 78 | 84 | 83 | 91 | 58 | 25 | 52 | 47 | 87 | 75 | 78 | 80 | 64 | 40 | 73 | 0 | 31 | 4 | 4,000,000$ | ||||
16 | Christopher Tanev | X | 100.00 | 71 | 53 | 89 | 82 | 74 | 80 | 91 | 62 | 25 | 53 | 47 | 89 | 25 | 78 | 81 | 65 | 40 | 72 | 0 | 33 | 2 | 4,500,000$ | ||||
17 | Zachary Werenski (A) | X | 100.00 | 63 | 42 | 99 | 89 | 78 | 89 | 60 | 90 | 25 | 68 | 63 | 75 | 25 | 69 | 71 | 72 | 40 | 72 | 0 | 26 | 6 | 9,583,333$ | ||||
18 | Adam Boqvist | X | 100.00 | 65 | 41 | 94 | 84 | 64 | 77 | 66 | 85 | 25 | 69 | 51 | 65 | 25 | 61 | 61 | 66 | 40 | 66 | 0 | 23 | 3 | 2,600,000$ | ||||
19 | Nick Blankenburg (R) | X | 100.00 | 82 | 44 | 86 | 78 | 62 | 78 | 60 | 68 | 25 | 62 | 51 | 78 | 25 | 47 | 47 | 66 | 40 | 66 | 0 | 25 | 2 | 825,000$ | ||||
20 | Jake Bean | X | 100.00 | 73 | 43 | 87 | 80 | 69 | 69 | 60 | 65 | 25 | 67 | 49 | 77 | 75 | 58 | 59 | 65 | 40 | 66 | 0 | 25 | 2 | 2,333,333$ | ||||
21 | Gavin Bayreuther | X | 100.00 | 76 | 56 | 86 | 73 | 73 | 69 | 69 | 63 | 25 | 58 | 48 | 77 | 53 | 58 | 58 | 63 | 40 | 65 | 0 | 29 | 1 | 750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||||||||
1 | Brendan Gaunce | X | X | 100.00 | 77 | 79 | 71 | 67 | 79 | 64 | 63 | 68 | 80 | 66 | 66 | 67 | 63 | 47 | 47 | 67 | 40 | 63 | 0 | 29 | 2 | 762,500$ | |||
2 | Rasmus Asplund | X | X | 100.00 | 65 | 42 | 96 | 77 | 69 | 58 | 80 | 59 | 41 | 61 | 56 | 72 | 25 | 61 | 61 | 63 | 40 | 62 | 0 | 25 | 1 | 0$ | |||
3 | Axel Jonsson-Fjallby (R) | X | 100.00 | 73 | 42 | 94 | 65 | 64 | 57 | 66 | 61 | 30 | 63 | 62 | 72 | 25 | 48 | 48 | 66 | 40 | 61 | 0 | 25 | 1 | 0$ | ||||
4 | Joshua Dunne (R) | X | 100.00 | 77 | 80 | 70 | 66 | 80 | 65 | 67 | 60 | 75 | 54 | 62 | 65 | 59 | 45 | 45 | 63 | 40 | 60 | 0 | 25 | 1 | 874,125$ | ||||
5 | Joona Luoto | X | X | 100.00 | 79 | 73 | 92 | 67 | 73 | 59 | 59 | 59 | 50 | 52 | 62 | 66 | 59 | 46 | 46 | 64 | 40 | 59 | 0 | 26 | 1 | 0$ | |||
6 | Carsen Twarynski | X | 100.00 | 73 | 73 | 72 | 63 | 73 | 80 | 87 | 56 | 50 | 46 | 61 | 62 | 58 | 45 | 45 | 62 | 40 | 59 | 0 | 25 | 1 | 0$ | ||||
7 | Jasper Weatherby (R) | X | 100.00 | 80 | 81 | 79 | 73 | 81 | 81 | 89 | 50 | 63 | 47 | 47 | 64 | 45 | 44 | 44 | 57 | 40 | 59 | 0 | 25 | 1 | 0$ | ||||
8 | Noah Philp (R) | X | 100.00 | 76 | 76 | 75 | 66 | 76 | 59 | 59 | 59 | 74 | 53 | 60 | 64 | 57 | 44 | 44 | 62 | 40 | 59 | 0 | 25 | 1 | 0$ | ||||
9 | Linus Weissbach (R) | X | X | 100.00 | 64 | 58 | 79 | 63 | 58 | 79 | 84 | 61 | 50 | 58 | 60 | 58 | 57 | 44 | 44 | 62 | 40 | 59 | 0 | 25 | 1 | 0$ | |||
10 | Josh Melnick | X | X | 100.00 | 73 | 65 | 91 | 66 | 65 | 67 | 70 | 59 | 74 | 55 | 58 | 62 | 55 | 44 | 44 | 62 | 40 | 59 | 0 | 28 | 1 | 500,000$ | |||
11 | Cole Koepke (R) | X | X | 100.00 | 84 | 45 | 95 | 63 | 72 | 53 | 85 | 54 | 25 | 50 | 57 | 64 | 25 | 45 | 45 | 61 | 40 | 58 | 0 | 25 | 1 | 0$ | |||
12 | Tyler Angle (R) | X | 100.00 | 70 | 62 | 87 | 63 | 62 | 79 | 86 | 54 | 68 | 48 | 56 | 60 | 53 | 44 | 44 | 60 | 40 | 58 | 0 | 23 | 2 | 925,000$ | ||||
13 | Jeff Kubiak (R) | X | 100.00 | 80 | 79 | 81 | 67 | 79 | 74 | 80 | 52 | 65 | 49 | 51 | 64 | 48 | 44 | 44 | 58 | 40 | 58 | 0 | 29 | 1 | 0$ | ||||
14 | Connor Mackey (R) | X | 100.00 | 85 | 99 | 57 | 71 | 78 | 64 | 62 | 55 | 25 | 50 | 50 | 77 | 75 | 47 | 47 | 61 | 40 | 64 | 0 | 27 | 1 | 0$ | ||||
15 | Kristians Rubins (R) | X | 100.00 | 84 | 85 | 83 | 67 | 85 | 65 | 70 | 47 | 25 | 37 | 41 | 65 | 39 | 44 | 44 | 53 | 40 | 60 | 0 | 25 | 1 | 0$ | ||||
16 | Billy Sweezey (R) | X | 100.00 | 75 | 79 | 66 | 63 | 79 | 76 | 84 | 47 | 25 | 39 | 39 | 60 | 37 | 44 | 44 | 52 | 40 | 59 | 0 | 27 | 2 | 762,500$ | ||||
17 | David Jiricek (R) | X | 100.00 | 74 | 71 | 81 | 64 | 71 | 62 | 64 | 57 | 25 | 55 | 45 | 62 | 43 | 44 | 44 | 57 | 40 | 59 | 0 | 19 | 3 | 1,950,000$ | ||||
18 | Luke Witkowski | X | X | 100.00 | 78 | 79 | 74 | 71 | 79 | 59 | 63 | 46 | 45 | 35 | 39 | 65 | 37 | 56 | 56 | 52 | 40 | 59 | 0 | 33 | 1 | 0$ | |||
19 | Samuel Knazko (R) | X | 100.00 | 76 | 70 | 89 | 64 | 70 | 61 | 64 | 52 | 25 | 50 | 39 | 62 | 37 | 44 | 44 | 54 | 40 | 58 | 0 | 21 | 3 | 902,500$ | ||||
20 | Anton Blidh | X | X | 100.00 | 78 | 44 | 90 | 69 | 73 | 46 | 66 | 58 | 33 | 50 | 55 | 65 | 25 | 61 | 61 | 59 | 40 | 58 | 0 | 28 | 1 | 0$ | |||
21 | Ole Julian Bjorgvik Holm (R) | X | 100.00 | 78 | 72 | 91 | 67 | 72 | 56 | 59 | 44 | 25 | 34 | 39 | 61 | 37 | 44 | 44 | 50 | 40 | 56 | 0 | 21 | 3 | 896,667$ | ||||
TEAM AVERAGE | 100.00 | 72 | 48 | 87 | 81 | 71 | 73 | 81 | 71 | 43 | 69 | 63 | 73 | 43 | 67 | 68 | 70 | 40 | 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 | Ilya Sorokin | 100.00 | 90 | 87 | 83 | 66 | 90 | 89 | 85 | 88 | 89 | 90 | 75 | 59 | 60 | 88 | 40 | 80 | 0 | 28 | 2 | 4,000,000$ | |
2 | Elvis Merzlikins | 100.00 | 62 | 74 | 72 | 73 | 65 | 58 | 83 | 65 | 65 | 62 | 95 | 60 | 61 | 67 | 40 | 65 | 0 | 29 | 5 | 5,400,000$ | |
Scratches | |||||||||||||||||||||||
1 | Joel Hofer (R) | 100.00 | 60 | 54 | 68 | 66 | 64 | 66 | 56 | 64 | 65 | 63 | 30 | 44 | 44 | 61 | 40 | 59 | 0 | 23 | 1 | 910,833$ | |
Farm Team | |||||||||||||||||||||||
1 | Zane McIntyre (R) | 100.00 | 50 | 52 | 65 | 79 | 49 | 54 | 51 | 56 | 54 | 53 | 30 | 44 | 44 | 52 | 40 | 54 | 0 | 31 | 1 | 0$ | |
2 | Jet Greaves (R) | 100.00 | 49 | 50 | 63 | 65 | 49 | 51 | 50 | 55 | 51 | 51 | 30 | 44 | 44 | 51 | 40 | 52 | 0 | 22 | 2 | 758,333$ | |
TEAM AVERAGE | 100.00 | 71 | 72 | 74 | 68 | 73 | 71 | 75 | 72 | 73 | 72 | 67 | 54 | 55 | 72 | 40 | 68 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matthew Tkachuk | Blue Jackets | RW | 14 | 9 | 8 | 17 | 3 | 44 | 10 | 35 | 13 | 75 | 18 | 32 | 12.00% | 9 | 310 | 22.20 | 3 | 2 | 5 | 10 | 49 | 0 | 1 | 1 | 2 | 36 | 0 | 1 | 42.68% | 82 | 16 | 9 | 1 | 0 | 1.09 | 1 | 3 | 1 | 1 | 0 | 2 | 1 | 0 |
2 | Johnny Gaudreau | Blue Jackets | LW | 14 | 3 | 12 | 15 | 3 | 4 | 0 | 20 | 15 | 62 | 13 | 35 | 4.84% | 5 | 329 | 23.52 | 1 | 2 | 3 | 9 | 49 | 1 | 0 | 1 | 1 | 53 | 0 | 0 | 17.86% | 28 | 16 | 5 | 0 | 0 | 0.91 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 3 |
3 | Taylor Hall | Blue Jackets | LW | 14 | 6 | 3 | 9 | -4 | 6 | 0 | 7 | 16 | 43 | 15 | 31 | 13.95% | 5 | 237 | 17.00 | 0 | 1 | 1 | 4 | 36 | 0 | 0 | 0 | 2 | 15 | 2 | 1 | 33.33% | 24 | 10 | 4 | 0 | 0 | 0.76 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Marcus Johansson | Blue Jackets | LW/RW | 14 | 2 | 6 | 8 | -4 | 0 | 0 | 10 | 17 | 43 | 22 | 46 | 4.65% | 8 | 254 | 18.19 | 0 | 1 | 1 | 5 | 39 | 1 | 0 | 1 | 2 | 27 | 1 | 0 | 40.00% | 10 | 10 | 4 | 0 | 0 | 0.63 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Jack Roslovic | Blue Jackets | C/RW | 14 | 4 | 4 | 8 | 1 | 13 | 5 | 15 | 18 | 19 | 5 | 9 | 21.05% | 2 | 264 | 18.86 | 0 | 1 | 1 | 3 | 48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.75% | 361 | 1 | 6 | 0 | 0 | 0.61 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
6 | Zachary Werenski | Blue Jackets | D | 14 | 1 | 6 | 7 | 1 | 2 | 0 | 10 | 12 | 21 | 9 | 17 | 4.76% | 17 | 282 | 20.21 | 1 | 1 | 2 | 4 | 37 | 0 | 1 | 1 | 2 | 33 | 0 | 0 | 0.00% | 0 | 2 | 13 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Andrew Mangiapane | Blue Jackets | LW/RW | 14 | 2 | 1 | 3 | 1 | 6 | 0 | 20 | 15 | 35 | 16 | 29 | 5.71% | 5 | 190 | 13.60 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 27 | 0 | 1 | 33.33% | 33 | 10 | 3 | 0 | 0 | 0.32 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Christopher Tanev | Blue Jackets | D | 14 | 1 | 2 | 3 | -4 | 6 | 0 | 7 | 28 | 24 | 8 | 11 | 4.17% | 27 | 357 | 25.51 | 1 | 1 | 2 | 2 | 52 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 4 | 18 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Teddy Blueger | Blue Jackets | C/LW | 14 | 1 | 2 | 3 | 2 | 2 | 0 | 3 | 11 | 14 | 3 | 9 | 7.14% | 2 | 105 | 7.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.58% | 33 | 2 | 1 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
10 | Nick Blankenburg | Blue Jackets | D | 14 | 1 | 2 | 3 | 4 | 0 | 0 | 8 | 12 | 5 | 1 | 1 | 20.00% | 11 | 165 | 11.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
11 | Anthony Duclair | Blue Jackets | LW/RW | 14 | 1 | 2 | 3 | 1 | 0 | 0 | 11 | 5 | 22 | 8 | 14 | 4.55% | 3 | 146 | 10.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 6 | 7 | 0 | 0 | 0 | 0.41 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
12 | Eric Robinson | Blue Jackets | LW | 14 | 0 | 2 | 2 | 1 | 0 | 0 | 10 | 10 | 12 | 4 | 9 | 0.00% | 0 | 105 | 7.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 1 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Erik Gudbranson | Blue Jackets | D | 14 | 0 | 2 | 2 | -5 | 16 | 0 | 32 | 25 | 12 | 5 | 9 | 0.00% | 16 | 384 | 27.48 | 0 | 1 | 1 | 1 | 52 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 5 | 17 | 0 | 0 | 0.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
14 | Emil Bemstrom | Blue Jackets | LW/RW | 14 | 1 | 1 | 2 | 1 | 0 | 0 | 2 | 4 | 25 | 3 | 15 | 4.00% | 1 | 105 | 7.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 10 | 2 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Adam Boqvist | Blue Jackets | D | 14 | 0 | 2 | 2 | 0 | 2 | 0 | 8 | 16 | 12 | 6 | 8 | 0.00% | 14 | 280 | 20.06 | 0 | 1 | 1 | 0 | 37 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 1 | 7 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Jake Bean | Blue Jackets | D | 14 | 0 | 2 | 2 | 5 | 2 | 0 | 8 | 9 | 5 | 0 | 3 | 0.00% | 11 | 179 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Casey Cizikas | Blue Jackets | C | 14 | 0 | 1 | 1 | -5 | 14 | 0 | 25 | 22 | 7 | 4 | 9 | 0.00% | 4 | 235 | 16.79 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 53.99% | 163 | 5 | 3 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Sean Kuraly | Blue Jackets | C/LW | 14 | 1 | 0 | 1 | 1 | 10 | 0 | 20 | 18 | 14 | 3 | 4 | 7.14% | 8 | 149 | 10.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 49.04% | 104 | 1 | 2 | 0 | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
19 | Kent Johnson | Blue Jackets | C/LW | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0.00% | 0 | 17 | 1.24 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Gavin Bayreuther | Blue Jackets | D | 14 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 0.00% | 0 | 49 | 3.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Justin Danforth | Blue Jackets | C/RW | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5 | 0.38 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 294 | 33 | 58 | 91 | 3 | 127 | 15 | 253 | 271 | 451 | 143 | 291 | 7.32% | 148 | 4156 | 14.14 | 6 | 11 | 17 | 38 | 450 | 2 | 2 | 4 | 9 | 362 | 5 | 3 | 46.78% | 855 | 103 | 105 | 1 | 0 | 0.44 | 4 | 13 | 1 | 2 | 0 | 5 | 4 | 6 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ilya Sorokin | Blue Jackets | 14 | 7 | 5 | 2 | 0.924 | 2.46 | 855 | 0 | 0 | 35 | 462 | 212 | 0 | 0 | 0.769 | 13 | 14 | 0 | 2 | 2 | 1 |
Team Total or Average | 14 | 7 | 5 | 2 | 0.924 | 2.46 | 855 | 0 | 0 | 35 | 462 | 212 | 0 | 0 | 13 | 14 | 0 | 2 | 2 | 1 |
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 Average | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist | Blue Jackets | D | 23 | 2000-08-14 | No | 179 Lbs | 5 ft11 | No | No | No | No | 3 | Pro Only | 2,600,000$ | 2,600,000$ | 0$ | 0$ | No | 2,600,000$ | 2,600,000$ | Link | |||||||
Andrew Mangiapane | Blue Jackets | LW/RW | 27 | 1996-04-03 | No | 184 Lbs | 5 ft10 | No | No | No | No | 3 | Pro Only | 5,800,000$ | 5,800,000$ | 0$ | 0$ | No | 5,800,000$ | 5,800,000$ | Link | |||||||
Anthony Duclair | Blue Jackets | LW/RW | 28 | 1995-08-26 | No | 198 Lbs | 5 ft11 | No | No | No | No | 2 | Pro Only | 3,000,000$ | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | Link | ||||||||
Casey Cizikas | Blue Jackets | C | 32 | 1991-02-26 | No | 195 Lbs | 5 ft11 | No | No | No | No | 5 | Pro Only | 2,500,000$ | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | Link | |||||
Christopher Tanev | Blue Jackets | D | 33 | 1989-12-20 | No | 197 Lbs | 6 ft2 | No | No | No | No | 2 | Pro Only | 4,500,000$ | 4,500,000$ | 0$ | 0$ | No | 4,500,000$ | Link | ||||||||
Elvis Merzlikins | Blue Jackets | G | 29 | 1994-04-13 | No | 181 Lbs | 6 ft3 | No | No | No | No | 5 | Pro Only | 5,400,000$ | 5,400,000$ | 0$ | 0$ | No | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | Link | |||||
Emil Bemstrom | Blue Jackets | LW/RW | 24 | 1999-06-01 | No | 190 Lbs | 6 ft0 | No | No | No | No | 2 | Pro Only | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Link | ||||||||
Eric Robinson | Blue Jackets | LW | 28 | 1995-06-14 | No | 197 Lbs | 6 ft2 | No | No | No | No | 2 | Pro Only | 1,600,000$ | 1,600,000$ | 0$ | 0$ | No | 1,600,000$ | Link | ||||||||
Erik Gudbranson | Blue Jackets | D | 31 | 1992-01-07 | No | 217 Lbs | 6 ft5 | No | No | No | No | 4 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | 0$ | No | 4,000,000$ | 4,000,000$ | 4,000,000$ | Link | ||||||
Gavin Bayreuther | Blue Jackets | D | 29 | 1994-05-12 | No | 195 Lbs | 6 ft1 | No | No | No | No | 1 | Pro Only | 750,000$ | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Ilya Sorokin | Blue Jackets | G | 28 | 1995-08-03 | No | 172 Lbs | 6 ft2 | No | No | No | No | 2 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | 0$ | No | 4,000,000$ | Link | ||||||||
Jack Roslovic | Blue Jackets | C/RW | 26 | 1997-01-29 | No | 187 Lbs | 6 ft1 | No | No | No | No | 2 | Pro Only | 4,000,000$ | 4,000,000$ | 0$ | 0$ | No | 4,000,000$ | Link | ||||||||
Jake Bean | Blue Jackets | D | 25 | 1998-06-09 | No | 186 Lbs | 6 ft1 | No | No | No | No | 2 | Pro Only | 2,333,333$ | 2,333,333$ | 0$ | 0$ | No | 2,333,333$ | Link | ||||||||
Joel Hofer | Blue Jackets | G | 23 | 2000-07-30 | Yes | 161 Lbs | 6 ft3 | No | No | No | No | 1 | Pro Only | 910,833$ | 910,833$ | 0$ | 0$ | No | Link | |||||||||
Johnny Gaudreau | Blue Jackets | LW | 30 | 1993-08-13 | No | 165 Lbs | 5 ft9 | No | No | No | No | 7 | Pro Only | 9,750,000$ | 9,750,000$ | 0$ | 0$ | No | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | Link | |||
Justin Danforth | Blue Jackets | C/RW | 30 | 1993-03-15 | No | 185 Lbs | 5 ft9 | No | No | No | No | 2 | Pro Only | 975,000$ | 975,000$ | 0$ | 0$ | No | 975,000$ | Link | ||||||||
Kent Johnson | Blue Jackets | C/LW | 20 | 2002-10-18 | Yes | 168 Lbs | 6 ft1 | No | No | No | No | 2 | Pro Only | 1,850,000$ | 1,850,000$ | 0$ | 0$ | No | 1,850,000$ | Link | ||||||||
Marcus Johansson | Blue Jackets | LW/RW | 32 | 1990-10-06 | No | 205 Lbs | 6 ft1 | No | No | No | No | 1 | Pro Only | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | Link | |||||||||
Matthew Tkachuk | Blue Jackets | RW | 25 | 1997-12-11 | No | 202 Lbs | 6 ft2 | No | No | No | No | 8 | Pro Only | 9,500,000$ | 9,500,000$ | 0$ | 0$ | No | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | Link | ||
Nick Blankenburg | Blue Jackets | D | 25 | 1998-05-12 | Yes | 175 Lbs | 5 ft9 | No | No | No | No | 2 | Pro Only | 825,000$ | 825,000$ | 0$ | 0$ | No | 825,000$ | Link | ||||||||
Sean Kuraly | Blue Jackets | C/LW | 30 | 1993-01-20 | No | 213 Lbs | 6 ft2 | No | No | No | No | 3 | Pro Only | 2,500,000$ | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | 2,500,000$ | Link | |||||||
Taylor Hall | Blue Jackets | LW | 31 | 1991-11-13 | No | 205 Lbs | 6 ft1 | No | No | No | No | 3 | Pro Only | 6,000,000$ | 6,000,000$ | 0$ | 0$ | No | 6,000,000$ | 6,000,000$ | Link | |||||||
Teddy Blueger | Blue Jackets | C/LW | 29 | 1994-08-14 | No | 185 Lbs | 6 ft0 | No | No | No | No | 1 | Pro Only | 2,200,000$ | 2,200,000$ | 0$ | 0$ | No | Link | |||||||||
Zachary Werenski | Blue Jackets | D | 26 | 1997-07-19 | No | 212 Lbs | 6 ft2 | No | No | No | No | 6 | Pro Only | 9,583,333$ | 9,583,333$ | 0$ | 0$ | No | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 27.67 | 190 Lbs | 6 ft1 | 2.96 | 3,607,396$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
86,577,499$ | 81,616,666$ | 57,633,333$ | 40,733,333$ | 36,733,333$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Johnny Gaudreau | Jack Roslovic | Matthew Tkachuk | 40 | 1 | 2 | 2 |
2 | Taylor Hall | Casey Cizikas | Marcus Johansson | 30 | 1 | 2 | 2 |
3 | Andrew Mangiapane | Sean Kuraly | Anthony Duclair | 20 | 1 | 2 | 2 |
4 | Eric Robinson | Teddy Blueger | Emil Bemstrom | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Erik Gudbranson | Christopher Tanev | 40 | 1 | 2 | 2 | |
2 | Zachary Werenski | Adam Boqvist | 30 | 1 | 2 | 2 | |
3 | Nick Blankenburg | Jake Bean | 20 | 1 | 2 | 2 | |
4 | Gavin Bayreuther | Erik Gudbranson | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Johnny Gaudreau | Jack Roslovic | Matthew Tkachuk | 60 | 1 | 2 | 2 |
2 | Taylor Hall | Casey Cizikas | Marcus Johansson | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Erik Gudbranson | Christopher Tanev | 60 | 1 | 2 | 2 | |
2 | Zachary Werenski | Adam Boqvist | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Matthew Tkachuk | Johnny Gaudreau | 60 | 1 | 2 | 2 |
2 | Taylor Hall | Marcus Johansson | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Erik Gudbranson | Christopher Tanev | 60 | 1 | 2 | 2 |
2 | Zachary Werenski | Adam Boqvist | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Matthew Tkachuk | 60 | 1 | 2 | 2 | Erik Gudbranson | Christopher Tanev | 60 | 1 | 2 | 2 |
2 | Johnny Gaudreau | 40 | 1 | 2 | 2 | Zachary Werenski | Adam Boqvist | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Matthew Tkachuk | Johnny Gaudreau | 60 | 1 | 2 | 2 |
2 | Taylor Hall | Marcus Johansson | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Erik Gudbranson | Christopher Tanev | 60 | 1 | 2 | 2 |
2 | Zachary Werenski | Adam Boqvist | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Johnny Gaudreau | Jack Roslovic | Matthew Tkachuk | Erik Gudbranson | Christopher Tanev |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Johnny Gaudreau | Jack Roslovic | Matthew Tkachuk | Erik Gudbranson | Christopher Tanev |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Kent Johnson, Justin Danforth, Andrew Mangiapane | Kent Johnson, Justin Danforth | Andrew Mangiapane |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Nick Blankenburg, Jake Bean, Gavin Bayreuther | Nick Blankenburg | Jake Bean, Gavin Bayreuther |
Penalty Shots |
---|
Matthew Tkachuk, Johnny Gaudreau, Taylor Hall, Marcus Johansson, Andrew Mangiapane |
Goalie |
---|
#1 : Ilya Sorokin, #2 : Elvis Merzlikins |
Custom OT Lines Forwards |
---|
Matthew Tkachuk, Johnny Gaudreau, Taylor Hall, Marcus Johansson, Andrew Mangiapane, Jack Roslovic, Jack Roslovic, Casey Cizikas, Sean Kuraly, Eric Robinson, Anthony Duclair |
Custom OT Lines Defensemen |
---|
Erik Gudbranson, Christopher Tanev, Zachary Werenski, Adam Boqvist, Nick Blankenburg |
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 |
1 | Capitals | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 60 | 29 | 19 | 12 | 0 | 74 | 27 | 25 | 31 | 8 | 0 | 0.00% | 10 | 0 | 100.00% | 1 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 42 | 24 | 45 | 18 | 32 | 14 |
2 | Devils | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 4 | 1.000 | 6 | 6 | 12 | 0 | 0 | 2 | 1 | 1 | 2 | 78 | 22 | 22 | 26 | 15 | 70 | 18 | 19 | 49 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 47 | 27 | 45 | 19 | 37 | 18 |
3 | Flyers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 73 | 20 | 31 | 22 | 0 | 57 | 20 | 19 | 31 | 12 | 2 | 16.67% | 7 | 3 | 57.14% | 0 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 46 | 27 | 39 | 17 | 33 | 18 |
4 | Hurricanes | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 66 | 17 | 36 | 13 | 0 | 64 | 22 | 16 | 38 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 44 | 26 | 41 | 18 | 33 | 16 |
5 | Islanders | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 1 | 62 | 20 | 24 | 17 | 1 | 58 | 17 | 14 | 44 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 43 | 25 | 41 | 18 | 36 | 17 |
6 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 59 | 13 | 17 | 29 | 0 | 70 | 25 | 12 | 30 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 39 | 23 | 47 | 17 | 32 | 16 |
7 | Rangers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 2 | 53 | 21 | 11 | 20 | 7 | 69 | 19 | 22 | 30 | 6 | 0 | 0.00% | 11 | 2 | 81.82% | 1 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 39 | 21 | 48 | 19 | 36 | 17 |
Total | 14 | 4 | 5 | 0 | 1 | 1 | 2 | 1 | 35 | 36 | -1 | 7 | 2 | 3 | 0 | 0 | 1 | 1 | 0 | 18 | 19 | -1 | 7 | 2 | 2 | 0 | 1 | 0 | 1 | 1 | 17 | 17 | 0 | 16 | 0.571 | 35 | 58 | 93 | 0 | 0 | 11 | 11 | 10 | 5 | 451 | 142 | 160 | 139 | 23 | 462 | 148 | 127 | 253 | 53 | 6 | 11.32% | 56 | 9 | 83.93% | 2 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 304 | 177 | 309 | 130 | 243 | 119 | |
_Since Last GM Reset | 14 | 4 | 5 | 0 | 1 | 1 | 2 | 1 | 35 | 36 | -1 | 7 | 2 | 3 | 0 | 0 | 1 | 1 | 0 | 18 | 19 | -1 | 7 | 2 | 2 | 0 | 1 | 0 | 1 | 1 | 17 | 17 | 0 | 16 | 0.571 | 35 | 58 | 93 | 0 | 0 | 11 | 11 | 10 | 5 | 451 | 142 | 160 | 139 | 23 | 462 | 148 | 127 | 253 | 53 | 6 | 11.32% | 56 | 9 | 83.93% | 2 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 304 | 177 | 309 | 130 | 243 | 119 | |
_Vs Conference | 14 | 4 | 5 | 0 | 1 | 1 | 2 | 1 | 35 | 36 | -1 | 7 | 2 | 3 | 0 | 0 | 1 | 1 | 0 | 18 | 19 | -1 | 7 | 2 | 2 | 0 | 1 | 0 | 1 | 1 | 17 | 17 | 0 | 16 | 0.571 | 35 | 58 | 93 | 0 | 0 | 11 | 11 | 10 | 5 | 451 | 142 | 160 | 139 | 23 | 462 | 148 | 127 | 253 | 53 | 6 | 11.32% | 56 | 9 | 83.93% | 2 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 304 | 177 | 309 | 130 | 243 | 119 | |
_Vs Division | 14 | 4 | 5 | 0 | 1 | 1 | 2 | 1 | 35 | 36 | -1 | 7 | 2 | 3 | 0 | 0 | 1 | 1 | 0 | 18 | 19 | -1 | 7 | 2 | 2 | 0 | 1 | 0 | 1 | 1 | 17 | 17 | 0 | 16 | 0.571 | 35 | 58 | 93 | 0 | 0 | 11 | 11 | 10 | 5 | 451 | 142 | 160 | 139 | 23 | 462 | 148 | 127 | 253 | 53 | 6 | 11.32% | 56 | 9 | 83.93% | 2 | 158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% | 304 | 177 | 309 | 130 | 243 | 119 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
14 | 16 | SOW1 | 35 | 58 | 93 | 451 | 462 | 148 | 127 | 253 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 4 | 5 | 1 | 1 | 2 | 1 | 35 | 36 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 2 | 3 | 0 | 1 | 1 | 0 | 18 | 19 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 2 | 2 | 1 | 0 | 1 | 1 | 17 | 17 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 3 | 1 | 0 | 2 | 1 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
53 | 6 | 11.32% | 56 | 9 | 83.93% | 2 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
142 | 160 | 139 | 23 | 11 | 11 | 10 | 5 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
158 | 304 | 51.97% | 170 | 366 | 46.45% | 72 | 169 | 42.60% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
304 | 177 | 309 | 130 | 243 | 119 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
2 - 2023-09-29 | 14 | Blue Jackets | 3 | Hurricanes | 2 | AW | BoxScore | |||
3 - 2023-09-30 | 23 | Capitals | 3 | Blue Jackets | 2 | BL | X | BoxScore | ||
5 - 2023-10-02 | 49 | Hurricanes | 3 | Blue Jackets | 2 | BL | BoxScore | |||
7 - 2023-10-04 | 63 | Blue Jackets | 1 | Capitals | 2 | AL | BoxScore | |||
9 - 2023-10-06 | 79 | Islanders | 1 | Blue Jackets | 3 | BW | BoxScore | |||
11 - 2023-10-08 | 102 | Penguins | 4 | Blue Jackets | 2 | BL | BoxScore | |||
14 - 2023-10-11 | 127 | Rangers | 3 | Blue Jackets | 4 | BW | BoxScore | |||
16 - 2023-10-13 | 142 | Blue Jackets | 1 | Rangers | 2 | AL | X | X | BoxScore | |
17 - 2023-10-14 | 159 | Blue Jackets | 1 | Penguins | 4 | AL | BoxScore | |||
19 - 2023-10-16 | 167 | Devils | 2 | Blue Jackets | 3 | BW | X | X | BoxScore | |
20 - 2023-10-17 | 170 | Blue Jackets | 4 | Flyers | 2 | AW | BoxScore | |||
22 - 2023-10-19 | 188 | Blue Jackets | 4 | Islanders | 3 | AW | X | BoxScore | ||
25 - 2023-10-22 | 207 | Flyers | 3 | Blue Jackets | 2 | BL | BoxScore | |||
26 - 2023-10-23 | 214 | Blue Jackets | 3 | Devils | 2 | AW | X | X | BoxScore |
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 | 0.00% | 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 |
0 | 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$ | 86,577,499$ | 86,577,499$ | 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$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
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Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 10,000,000$ | 10,000,000$ |
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 | R6 | R7 |
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7 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
8 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
9 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
10 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
11 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
# | 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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