Columbus Blue Jackets | |
GP: 24 | W: 11 | L: 10 | OTL: 3 | P: 25 GF: 72 | GA: 80 | PP%: 15.38% | PK%: 81.01% GM : Jeff Roukema | Morale : 40 | Team Overall : 70 Next Games #418 vs Edmonton Oilers |
|
|
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 | Seth Jarvis | X | X | 99.00 | 79 | 40 | 89 | 78 | 67 | 81 | 94 | 75 | 67 | 69 | 79 | 77 | 54 | 61 | 58 | 0 | 40 | 76 | 0 | 22 | 4 | 7,420,087$ | |||
2 | Tomas Hertl | X | 100.00 | 71 | 40 | 87 | 83 | 83 | 85 | 82 | 72 | 87 | 68 | 75 | 76 | 56 | 76 | 68 | 0 | 40 | 76 | 0 | 31 | 4 | 8,137,500$ | ||||
3 | Trevor Moore | X | X | 100.00 | 72 | 40 | 84 | 87 | 77 | 79 | 91 | 72 | 56 | 65 | 81 | 74 | 74 | 65 | 59 | 0 | 40 | 75 | 0 | 29 | 4 | 4,200,000$ | |||
4 | Johnny Gaudreau | X | X | 99.00 | 65 | 40 | 90 | 88 | 62 | 81 | 91 | 73 | 51 | 75 | 67 | 65 | 64 | 78 | 65 | 0 | 40 | 73 | 0 | 31 | 1 | 9,750,000$ | |||
5 | Gabriel Vilardi | X | 100.00 | 76 | 40 | 85 | 73 | 83 | 77 | 74 | 72 | 64 | 66 | 81 | 62 | 58 | 60 | 58 | 0 | 40 | 73 | 0 | 25 | 1 | 3,437,500$ | ||||
6 | Anders Lee | X | X | 100.00 | 78 | 67 | 78 | 66 | 89 | 73 | 94 | 66 | 60 | 62 | 71 | 70 | 54 | 78 | 81 | 0 | 40 | 71 | 0 | 34 | 2 | 7,000,000$ | |||
7 | Ryan Strome | X | 100.00 | 69 | 67 | 69 | 77 | 73 | 74 | 91 | 67 | 70 | 67 | 66 | 67 | 57 | 78 | 65 | 0 | 40 | 69 | 0 | 31 | 3 | 5,000,000$ | ||||
8 | Jason Zucker | X | X | 100.00 | 74 | 66 | 77 | 73 | 76 | 69 | 86 | 66 | 57 | 63 | 69 | 69 | 56 | 76 | 60 | 0 | 40 | 69 | 0 | 32 | 1 | 5,000,000$ | |||
9 | Drew O'Connor | X | X | 100.00 | 72 | 40 | 86 | 73 | 74 | 73 | 83 | 65 | 62 | 63 | 70 | 69 | 54 | 59 | 58 | 0 | 40 | 69 | 0 | 26 | 1 | 925,000$ | |||
10 | Justin Danforth | X | 100.00 | 74 | 40 | 86 | 71 | 78 | 70 | 77 | 63 | 73 | 63 | 66 | 75 | 54 | 58 | 58 | 0 | 40 | 68 | 0 | 31 | 1 | 1,100,000$ | ||||
11 | Dmitri Voronkov | X | X | 100.00 | 73 | 67 | 76 | 66 | 93 | 68 | 76 | 66 | 66 | 63 | 71 | 65 | 55 | 58 | 59 | 0 | 40 | 68 | 0 | 24 | 1 | 925,000$ | |||
12 | Barrett Hayton | X | 100.00 | 67 | 40 | 78 | 72 | 82 | 77 | 74 | 61 | 74 | 63 | 62 | 71 | 54 | 60 | 58 | 0 | 40 | 67 | 0 | 24 | 2 | 2,650,000$ | ||||
13 | Tanner Pearson | X | X | 100.00 | 74 | 65 | 84 | 80 | 82 | 66 | 72 | 60 | 53 | 60 | 63 | 69 | 56 | 74 | 60 | 0 | 40 | 67 | 0 | 32 | 1 | 775,000$ | |||
14 | Noah Dobson | X | 100.00 | 71 | 40 | 78 | 80 | 73 | 96 | 92 | 74 | 40 | 80 | 63 | 81 | 54 | 64 | 59 | 0 | 40 | 76 | 0 | 24 | 1 | 4,000,000$ | ||||
15 | Matt Roy | X | 100.00 | 70 | 40 | 80 | 72 | 81 | 86 | 94 | 60 | 40 | 64 | 60 | 89 | 54 | 65 | 59 | 0 | 40 | 72 | 0 | 29 | 4 | 5,750,000$ | ||||
16 | Brett Pesce | X | 100.00 | 72 | 40 | 84 | 75 | 77 | 85 | 88 | 57 | 40 | 60 | 59 | 83 | 54 | 74 | 60 | 0 | 40 | 70 | 0 | 30 | 4 | 5,500,000$ | ||||
17 | Samuel Girard | X | 100.00 | 68 | 40 | 89 | 76 | 64 | 83 | 84 | 60 | 40 | 64 | 59 | 85 | 54 | 69 | 59 | 0 | 40 | 70 | 0 | 26 | 3 | 5,000,000$ | ||||
18 | Matt Grzelcyk | X | 100.00 | 68 | 40 | 81 | 88 | 70 | 78 | 85 | 56 | 40 | 60 | 58 | 74 | 54 | 68 | 59 | 0 | 40 | 68 | 0 | 30 | 1 | 2,750,000$ | ||||
19 | Haydn Fleury | X | 100.00 | 66 | 43 | 79 | 74 | 78 | 73 | 63 | 56 | 41 | 61 | 57 | 82 | 55 | 64 | 60 | 0 | 40 | 68 | 0 | 28 | 1 | 775,000$ | ||||
20 | Henry Thrun | X | 100.00 | 61 | 45 | 81 | 70 | 71 | 79 | 66 | 58 | 41 | 61 | 59 | 77 | 55 | 57 | 58 | 0 | 40 | 66 | 0 | 23 | 2 | 1,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Conor Sheary | X | X | 100.00 | 73 | 40 | 87 | 74 | 72 | 62 | 83 | 61 | 53 | 62 | 62 | 69 | 57 | 72 | 59 | 0 | 40 | 66 | 0 | 32 | 2 | 2,000,000$ | |||
Farm Team | |||||||||||||||||||||||||||||
1 | Egor Sokolov | X | X | 100.00 | 56 | 58 | 65 | 67 | 74 | 70 | 68 | 64 | 55 | 61 | 62 | 65 | 57 | 59 | 55 | 0 | 40 | 64 | 0 | 24 | 1 | 775,000$ | |||
2 | Aatu Raty | X | 100.00 | 55 | 61 | 69 | 61 | 69 | 70 | 67 | 65 | 70 | 64 | 61 | 66 | 54 | 55 | 53 | 0 | 40 | 63 | 0 | 22 | 1 | 836,667$ | ||||
3 | James Malatesta | X | 100.00 | 63 | 60 | 71 | 63 | 65 | 68 | 65 | 59 | 55 | 59 | 61 | 65 | 55 | 55 | 54 | 0 | 40 | 62 | 0 | 21 | 2 | 841,667$ | ||||
4 | Luca Del Bel Belluz | X | 100.00 | 56 | 56 | 71 | 61 | 66 | 68 | 65 | 62 | 71 | 61 | 58 | 65 | 58 | 55 | 53 | 0 | 40 | 62 | 0 | 21 | 2 | 891,667$ | ||||
5 | Oskar Olausson | X | X | 100.00 | 57 | 60 | 70 | 60 | 69 | 64 | 62 | 59 | 56 | 58 | 59 | 63 | 58 | 56 | 54 | 0 | 40 | 60 | 0 | 22 | 2 | 863,333$ | |||
6 | Jean-Luc Foudy | X | 100.00 | 57 | 54 | 71 | 60 | 65 | 61 | 59 | 58 | 55 | 58 | 56 | 62 | 55 | 56 | 55 | 0 | 40 | 59 | 0 | 22 | 1 | 847,500$ | ||||
7 | Filip Bystedt | X | 100.00 | 56 | 54 | 69 | 55 | 74 | 56 | 55 | 55 | 55 | 55 | 55 | 60 | 54 | 52 | 51 | 0 | 40 | 57 | 0 | 20 | 3 | 918,333$ | ||||
TEAM AVERAGE | 99.93 | 68 | 49 | 79 | 72 | 75 | 74 | 78 | 64 | 57 | 63 | 65 | 71 | 56 | 64 | 59 | 0 | 40 | 68 |
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 | Samuel Ersson | 100.00 | 82 | 89 | 89 | 83 | 83 | 72 | 80 | 58 | 94 | 76 | 95 | 58 | 55 | 0 | 40 | 78 | 0 | 25 | 1 | 1,450,000$ | |
2 | Justus Annunen | 99.00 | 72 | 62 | 64 | 75 | 71 | 62 | 77 | 70 | 70 | 71 | 59 | 57 | 54 | 0 | 40 | 69 | 0 | 24 | 2 | 837,500$ | |
Scratches | |||||||||||||||||||||||
1 | Jake Barczewski | 100.00 | 54 | 54 | 54 | 58 | 55 | 54 | 63 | 54 | 62 | 63 | 68 | 60 | 55 | 0 | 40 | 57 | 0 | 25 | 2 | 700,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Nolan Maier | 100.00 | 55 | 54 | 54 | 55 | 66 | 54 | 72 | 54 | 61 | 55 | 68 | 56 | 53 | 0 | 40 | 59 | 0 | 23 | 2 | 700,000$ | |
TEAM AVERAGE | 99.75 | 66 | 65 | 65 | 68 | 69 | 61 | 73 | 59 | 72 | 66 | 73 | 58 | 54 | 0 | 40 | 66 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Seth Jarvis | Columbus Blue Jackets | C/RW | 24 | 9 | 11 | 20 | 7 | 14 | 0 | 39 | 43 | 89 | 27 | 71 | 10.11% | 7 | 494 | 20.60 | 1 | 3 | 4 | 10 | 57 | 1 | 1 | 2 | 3 | 75 | 1 | 2 | 44.44% | 261 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 |
2 | Noah Dobson | Columbus Blue Jackets | D | 24 | 4 | 16 | 20 | 0 | 16 | 0 | 25 | 30 | 41 | 9 | 22 | 9.76% | 37 | 586 | 24.43 | 0 | 6 | 6 | 23 | 62 | 0 | 0 | 0 | 0 | 74 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
3 | Trevor Moore | Columbus Blue Jackets | LW/RW | 24 | 9 | 8 | 17 | -7 | 4 | 0 | 30 | 37 | 79 | 26 | 64 | 11.39% | 3 | 441 | 18.39 | 2 | 1 | 3 | 11 | 55 | 0 | 0 | 0 | 2 | 40 | 1 | 0 | 38.89% | 72 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 |
4 | Brett Pesce | Columbus Blue Jackets | D | 24 | 1 | 13 | 14 | 2 | 24 | 0 | 49 | 19 | 22 | 9 | 15 | 4.55% | 43 | 507 | 21.16 | 0 | 3 | 3 | 7 | 51 | 1 | 0 | 1 | 2 | 61 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
5 | Johnny Gaudreau | Columbus Blue Jackets | LW/RW | 24 | 2 | 12 | 14 | 6 | 2 | 0 | 8 | 28 | 60 | 11 | 37 | 3.33% | 4 | 496 | 20.70 | 1 | 1 | 2 | 9 | 56 | 0 | 2 | 2 | 2 | 80 | 0 | 0 | 31.11% | 45 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6 | Tomas Hertl | Columbus Blue Jackets | C | 24 | 7 | 7 | 14 | 7 | 4 | 0 | 21 | 45 | 59 | 13 | 45 | 11.86% | 4 | 361 | 15.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 56.59% | 440 | 0 | 0 | 0 | 1 | 0.77 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
7 | Matt Roy | Columbus Blue Jackets | D | 24 | 7 | 5 | 12 | 3 | 16 | 0 | 33 | 21 | 41 | 10 | 12 | 17.07% | 35 | 519 | 21.65 | 1 | 0 | 1 | 16 | 62 | 0 | 0 | 0 | 0 | 72 | 2 | 0 | 0% | 0 | 0 | 0 | 1 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
8 | Samuel Girard | Columbus Blue Jackets | D | 24 | 3 | 9 | 12 | 4 | 10 | 0 | 13 | 28 | 39 | 13 | 16 | 7.69% | 13 | 459 | 19.15 | 2 | 1 | 3 | 20 | 50 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
9 | Gabriel Vilardi | Columbus Blue Jackets | C | 24 | 7 | 5 | 12 | -7 | 4 | 0 | 32 | 27 | 54 | 21 | 44 | 12.96% | 1 | 390 | 16.26 | 3 | 0 | 3 | 8 | 52 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.23% | 206 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
10 | Justin Danforth | Columbus Blue Jackets | C | 24 | 3 | 9 | 12 | -1 | 6 | 0 | 16 | 37 | 33 | 9 | 23 | 9.09% | 4 | 307 | 12.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 49.04% | 365 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
11 | Ryan Strome | Columbus Blue Jackets | C | 24 | 4 | 6 | 10 | -1 | 16 | 10 | 23 | 32 | 58 | 12 | 41 | 6.90% | 0 | 375 | 15.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | 0 | 47.45% | 314 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 |
12 | Haydn Fleury | Columbus Blue Jackets | D | 24 | 0 | 9 | 9 | -6 | 8 | 0 | 22 | 11 | 11 | 7 | 12 | 0% | 26 | 348 | 14.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13 | Jason Zucker | Columbus Blue Jackets | LW/RW | 24 | 4 | 4 | 8 | -1 | 12 | 0 | 25 | 20 | 45 | 13 | 31 | 8.89% | 1 | 388 | 16.18 | 0 | 1 | 1 | 3 | 54 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.48% | 23 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Tanner Pearson | Columbus Blue Jackets | LW/RW | 24 | 4 | 4 | 8 | 1 | 2 | 0 | 15 | 9 | 23 | 7 | 24 | 17.39% | 1 | 253 | 10.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
15 | Barrett Hayton | Columbus Blue Jackets | C | 24 | 4 | 2 | 6 | 0 | 4 | 0 | 6 | 27 | 28 | 4 | 12 | 14.29% | 0 | 211 | 8.83 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 50.60% | 249 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
16 | Anders Lee | Columbus Blue Jackets | LW/RW | 24 | 1 | 2 | 3 | -9 | 8 | 0 | 19 | 9 | 19 | 4 | 29 | 5.26% | 0 | 267 | 11.15 | 0 | 1 | 1 | 5 | 55 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 45.83% | 24 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Matt Grzelcyk | Columbus Blue Jackets | D | 24 | 1 | 2 | 3 | -6 | 18 | 0 | 30 | 21 | 19 | 5 | 10 | 5.26% | 19 | 395 | 16.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
18 | Dmitri Voronkov | Columbus Blue Jackets | C/RW | 24 | 1 | 1 | 2 | -1 | 2 | 0 | 9 | 6 | 11 | 4 | 11 | 9.09% | 1 | 153 | 6.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Drew O'Connor | Columbus Blue Jackets | LW/RW | 24 | 1 | 0 | 1 | -2 | 2 | 0 | 4 | 3 | 7 | 1 | 10 | 14.29% | 0 | 47 | 1.97 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 1 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Conor Sheary | Columbus Blue Jackets | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0.60 | 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 |
21 | Henry Thrun | Columbus Blue Jackets | D | 24 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 3 | 6 | 0 | 6 | 0% | 3 | 72 | 3.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 481 | 72 | 125 | 197 | -12 | 172 | 10 | 422 | 456 | 744 | 205 | 535 | 9.68% | 202 | 7079 | 14.72 | 10 | 17 | 27 | 114 | 569 | 2 | 3 | 5 | 9 | 550 | 11 | 2 | 48.35% | 2025 | 0 | 0 | 1 | 1 | 0.56 | 0 | 0 | 2 | 0 | 0 | 9 | 8 | 10 |
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 | Samuel Ersson | Columbus Blue Jackets | 24 | 11 | 9 | 3 | 0.892 | 3.31 | 1269 | 0 | 2 | 70 | 646 | 0 | 1 | 1 | 0 | 0 | 24 | 0 | 1 | 2 | 0 |
2 | Justus Annunen | Columbus Blue Jackets | 5 | 0 | 1 | 0 | 0.903 | 3.05 | 177 | 0 | 0 | 9 | 93 | 0 | 1 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0 |
Team Total or Average | 29 | 11 | 10 | 3 | 0.893 | 3.28 | 1446 | 0 | 2 | 79 | 739 | 0 | 2 | 1 | 0 | 24 | 24 | 1 | 2 | 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 |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anders Lee | Columbus Blue Jackets | LW/RW | 34 | 1990-07-03 | USA | No | 226 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 2 | 2024-08-03 | False | False | Pro & Farm | 7,000,000$ | 4,871,134$ | 7,000,000$ | 4,871,134$ | No | 7,000,000$ | - | - | - | - | - | - | - | - | 7,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Barrett Hayton | Columbus Blue Jackets | C | 24 | 2000-06-09 | CAN | No | 206 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-09-20 | False | False | Pro & Farm | 2,650,000$ | 1,844,072$ | 2,650,000$ | 1,844,072$ | No | 2,650,000$ | - | - | - | - | - | - | - | - | 2,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Brett Pesce | Columbus Blue Jackets | D | 30 | 1994-11-15 | USA | No | 204 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 4 | 2024-09-20 | False | False | Pro & Farm | 5,500,000$ | 3,827,320$ | 5,500,000$ | 3,827,320$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | 5,500,000$ | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | |
Conor Sheary | Columbus Blue Jackets | LW/RW | 32 | 1992-06-08 | USA | No | 178 Lbs | 5 ft8 | No | No | Assign Manually | No | Yes | 2 | 2024-08-03 | False | False | Pro & Farm | 2,000,000$ | 1,391,753$ | 2,000,000$ | 1,391,753$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Dmitri Voronkov | Columbus Blue Jackets | C/RW | 24 | 2000-09-10 | RUS | No | 239 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 1 | 2024-08-03 | False | False | Pro & Farm | 925,000$ | 643,686$ | 925,000$ | 643,686$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Drew O'Connor | Columbus Blue Jackets | LW/RW | 26 | 1998-06-09 | USA | No | 200 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 1 | 2024-08-03 | False | False | Pro & Farm | 925,000$ | 643,686$ | 925,000$ | 643,686$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Gabriel Vilardi | Columbus Blue Jackets | C | 25 | 1999-08-16 | CAN | No | 215 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 1 | 2024-08-03 | False | False | Pro & Farm | 3,437,500$ | 2,392,075$ | 3,437,500$ | 2,392,075$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Haydn Fleury | Columbus Blue Jackets | D | 28 | 1996-07-08 | CAN | No | 206 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 1 | 2024-09-20 | False | False | Pro & Farm | 775,000$ | 539,304$ | 775,000$ | 539,304$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Henry Thrun | Columbus Blue Jackets | D | 23 | 2001-03-12 | USA | No | 189 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-09-20 | False | False | Pro & Farm | 1,000,000$ | 695,876$ | 1,000,000$ | 695,876$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Jake Barczewski | Columbus Blue Jackets | G | 25 | 1999-01-07 | USA | No | 180 Lbs | 6 ft1 | No | No | Assign Manually | No | Yes | 2 | 2024-10-07 | False | False | Pro & Farm | 700,000$ | 487,113$ | 700,000$ | 487,113$ | No | 700,000$ | - | - | - | - | - | - | - | - | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Jason Zucker | Columbus Blue Jackets | LW/RW | 32 | 1992-01-16 | USA | No | 191 Lbs | 5 ft10 | No | No | Assign Manually | No | Yes | 1 | 2024-09-20 | False | False | Pro & Farm | 5,000,000$ | 3,479,381$ | 5,000,000$ | 3,479,381$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Johnny Gaudreau | Columbus Blue Jackets | LW/RW | 31 | 1993-08-13 | USA | No | 162 Lbs | 5 ft8 | No | No | Assign Manually | No | Yes | 1 | 2024-09-20 | False | False | Pro & Farm | 9,750,000$ | 6,784,794$ | 9,750,000$ | 6,784,794$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Justin Danforth | Columbus Blue Jackets | C | 31 | 1993-03-15 | CAN | No | 187 Lbs | 5 ft8 | No | No | Assign Manually | No | Yes | 1 | 2024-09-20 | False | False | Pro & Farm | 1,100,000$ | 765,464$ | 1,100,000$ | 765,464$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Justus Annunen | Columbus Blue Jackets | G | 24 | 2000-03-11 | FIN | No | 209 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2024-09-20 | False | False | Pro & Farm | 837,500$ | 582,796$ | 837,500$ | 582,796$ | No | 837,500$ | - | - | - | - | - | - | - | - | 837,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Matt Grzelcyk | Columbus Blue Jackets | D | 30 | 1994-01-05 | USA | No | 180 Lbs | 5 ft10 | No | No | Assign Manually | No | Yes | 1 | 2024-09-20 | False | False | Pro & Farm | 2,750,000$ | 1,913,660$ | 2,750,000$ | 1,913,660$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Matt Roy | Columbus Blue Jackets | D | 29 | 1995-03-01 | USA | No | 209 Lbs | 6 ft2 | No | No | Assign Manually | No | Yes | 4 | 2024-09-20 | False | False | Pro & Farm | 5,750,000$ | 4,001,289$ | 5,750,000$ | 4,001,289$ | No | 5,750,000$ | 5,750,000$ | 5,750,000$ | - | - | - | - | - | - | 5,750,000$ | 5,750,000$ | 5,750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | |
Noah Dobson | Columbus Blue Jackets | D | 24 | 2000-01-07 | CAN | No | 200 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-03 | False | False | Pro & Farm | 4,000,000$ | 2,783,505$ | 4,000,000$ | 2,783,505$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Ryan Strome | Columbus Blue Jackets | C | 31 | 1993-07-11 | CAN | No | 191 Lbs | 6 ft0 | No | No | Assign Manually | No | Yes | 3 | 2024-08-03 | False | False | Pro & Farm | 5,000,000$ | 3,479,381$ | 5,000,000$ | 3,479,381$ | No | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
Samuel Ersson | Columbus Blue Jackets | G | 25 | 1999-10-20 | SWE | No | 194 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 1 | 2024-09-20 | False | False | Pro & Farm | 1,450,000$ | 1,009,021$ | 1,450,000$ | 1,009,021$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Samuel Girard | Columbus Blue Jackets | D | 26 | 1998-05-12 | CAN | No | 169 Lbs | 5 ft10 | No | No | Assign Manually | No | Yes | 3 | 2024-08-03 | False | False | Pro & Farm | 5,000,000$ | 3,479,381$ | 5,000,000$ | 3,479,381$ | No | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
Seth Jarvis | Columbus Blue Jackets | C/RW | 22 | 2002-02-01 | CAN | No | 173 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 4 | 2024-09-20 | False | False | Pro & Farm | 7,420,087$ | 5,163,463$ | 7,420,087$ | 5,163,463$ | No | 7,420,087$ | 7,420,087$ | 7,420,087$ | - | - | - | - | - | - | 7,420,087$ | 7,420,087$ | 7,420,087$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | |
Tanner Pearson | Columbus Blue Jackets | LW/RW | 32 | 1992-08-10 | CAN | No | 206 Lbs | 6 ft0 | No | No | Assign Manually | No | Yes | 1 | 2024-10-05 | False | False | Pro & Farm | 775,000$ | 539,304$ | 775,000$ | 539,304$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Tomas Hertl | Columbus Blue Jackets | C | 31 | 1993-11-12 | CZE | No | 215 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 4 | 2024-08-03 | False | False | Pro & Farm | 8,137,500$ | 5,662,693$ | 8,137,500$ | 5,662,693$ | No | 8,137,500$ | 8,137,500$ | 8,137,500$ | - | - | - | - | - | - | 8,137,500$ | 8,137,500$ | 8,137,500$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | |
Trevor Moore | Columbus Blue Jackets | LW/RW | 29 | 1995-03-31 | USA | No | 193 Lbs | 5 ft10 | No | No | Assign Manually | No | Yes | 4 | 2024-08-03 | False | False | Pro & Farm | 4,200,000$ | 2,922,680$ | 4,200,000$ | 2,922,680$ | No | 4,200,000$ | 4,200,000$ | 4,200,000$ | - | - | - | - | - | - | 4,200,000$ | 4,200,000$ | 4,200,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 27.83 | 197 Lbs | 6 ft1 | 2.04 | 3,586,774$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
86,082,587$ | 55,195,087$ | 41,007,587$ | 31,007,587$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Johnny Gaudreau | Tomas Hertl | Seth Jarvis | 33 | 0 | 2 | 3 |
2 | Trevor Moore | Justin Danforth | Gabriel Vilardi | 31 | 0 | 2 | 3 |
3 | Jason Zucker | Ryan Strome | Tanner Pearson | 31 | 0 | 2 | 3 |
4 | Anders Lee | Barrett Hayton | Dmitri Voronkov | 5 | 0 | 2 | 3 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Noah Dobson | Matt Roy | 35 | 0 | 3 | 2 | |
2 | Samuel Girard | Brett Pesce | 35 | 0 | 3 | 2 | |
3 | Haydn Fleury | Matt Grzelcyk | 30 | 0 | 3 | 2 | |
4 | Henry Thrun | Noah Dobson | 0 | 0 | 3 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Trevor Moore | Seth Jarvis | Johnny Gaudreau | 60 | 0 | 1 | 4 |
2 | Anders Lee | Gabriel Vilardi | Jason Zucker | 40 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Noah Dobson | Matt Roy | 60 | 0 | 2 | 3 | |
2 | Brett Pesce | Samuel Girard | 40 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Seth Jarvis | Johnny Gaudreau | 60 | 1 | 3 | 1 |
2 | Trevor Moore | Ryan Strome | 40 | 1 | 3 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Noah Dobson | Matt Roy | 60 | 1 | 3 | 1 |
2 | Matt Grzelcyk | Brett Pesce | 40 | 1 | 3 | 1 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Tomas Hertl | 60 | 1 | 3 | 1 | Noah Dobson | Samuel Girard | 60 | 1 | 3 | 1 |
2 | Dmitri Voronkov | 40 | 1 | 3 | 1 | Henry Thrun | Matt Roy | 40 | 1 | 3 | 1 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Trevor Moore | Seth Jarvis | 60 | 1 | 2 | 2 |
2 | Johnny Gaudreau | Drew O'Connor | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Matt Roy | Noah Dobson | 60 | 1 | 2 | 2 |
2 | Haydn Fleury | Matt Grzelcyk | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Trevor Moore | Seth Jarvis | Johnny Gaudreau | Noah Dobson | Matt Roy |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Trevor Moore | Seth Jarvis | Johnny Gaudreau | Noah Dobson | Matt Roy |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Barrett Hayton, Seth Jarvis, Tomas Hertl | Trevor Moore, Gabriel Vilardi | Justin Danforth |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Haydn Fleury, Henry Thrun, Noah Dobson | Matt Roy | Brett Pesce, Noah Dobson |
Penalty Shots |
---|
Barrett Hayton, Seth Jarvis, Tomas Hertl, Trevor Moore, Gabriel Vilardi |
Goalie |
---|
#1 : Samuel Ersson, #2 : Justus Annunen |
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 |
1 | Anaheim Ducks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 3 | 0 | 0 | 0 | 26 | 9 | 7 | 10 | 0 | 31 | 12 | 8 | 18 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 21 | 14 | 25 | 8 | 12 | 6 |
2 | Boston Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 8 | 8 | 10 | 0 | 41 | 13 | 8 | 13 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 21 | 15 | 27 | 6 | 11 | 4 |
3 | Buffalo Sabres | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 0 | 4 | 0 | 45 | 20 | 12 | 13 | 0 | 44 | 10 | 2 | 18 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 25 | 18 | 22 | 6 | 12 | 6 |
4 | Calgary Flames | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 3 | 0 | 49 | 21 | 17 | 11 | 0 | 67 | 15 | 22 | 36 | 3 | 1 | 33.33% | 10 | 1 | 90.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 47 | 31 | 47 | 14 | 25 | 12 |
5 | Carolina Hurricanes | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 33 | 16 | 11 | 6 | 0 | 28 | 6 | 8 | 20 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 1 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 24 | 16 | 23 | 6 | 12 | 6 |
6 | Chicago Blackhawks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 5 | 6 | 0 | 31 | 6 | 8 | 20 | 0 | 0 | 0% | 4 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 19 | 13 | 27 | 8 | 12 | 5 |
7 | Colorado Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 1 | 1 | 0 | 34 | 8 | 10 | 16 | 0 | 41 | 11 | 10 | 24 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 23 | 15 | 23 | 7 | 12 | 6 |
8 | Edmonton Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 36 | 11 | 8 | 17 | 0 | 33 | 6 | 2 | 17 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 25 | 18 | 21 | 7 | 12 | 6 |
9 | Florida Panthers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 24 | 9 | 10 | 5 | 0 | 39 | 18 | 4 | 18 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 19 | 12 | 28 | 6 | 12 | 6 |
10 | Los Angeles Kings | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 8 | 10 | 8 | 1 | 29 | 9 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 22 | 14 | 25 | 8 | 13 | 6 |
11 | Minnesota Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 59 | 19 | 20 | 20 | 0 | 64 | 16 | 7 | 38 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 47 | 32 | 44 | 14 | 27 | 14 |
12 | Montreal Canadiens | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 1 | 3 | 2 | 0 | 0 | 63 | 21 | 24 | 18 | 0 | 43 | 16 | 18 | 37 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 55 | 39 | 40 | 15 | 25 | 13 |
13 | Nashville Predators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 1 | 3 | 0 | 43 | 12 | 12 | 19 | 0 | 22 | 10 | 4 | 12 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 26 | 19 | 19 | 7 | 13 | 7 |
14 | New York Islanders | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 1 | 35 | 9 | 9 | 16 | 1 | 22 | 5 | 6 | 16 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 1 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 25 | 17 | 22 | 7 | 12 | 6 |
15 | Pittsburgh Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 27 | 10 | 11 | 6 | 0 | 38 | 10 | 17 | 24 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 21 | 14 | 24 | 8 | 13 | 6 |
16 | San Jose Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 10 | 10 | 3 | 0 | 27 | 6 | 4 | 9 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 21 | 14 | 24 | 6 | 13 | 6 |
17 | Seattle Kraken | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 44 | 19 | 17 | 8 | 0 | 24 | 6 | 0 | 12 | 3 | 0 | 0.00% | 0 | 0 | 0% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 24 | 16 | 21 | 7 | 14 | 7 |
18 | Tampa Bay Lightning | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 14 | 8 | 9 | 0 | 22 | 4 | 12 | 17 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 23 | 15 | 22 | 7 | 13 | 6 |
19 | Toronto Maple Leafs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 19 | 8 | 10 | 0 | 29 | 5 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 22 | 15 | 25 | 7 | 12 | 5 |
20 | Washington Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 34 | 12 | 11 | 11 | 0 | 23 | 10 | 6 | 13 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 25 | 18 | 21 | 7 | 13 | 6 |
21 | Winnipeg Jets | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 29 | 12 | 7 | 8 | 2 | 42 | 8 | 16 | 17 | 0 | 0 | 0% | 8 | 1 | 87.50% | 0 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 24 | 15 | 25 | 7 | 14 | 7 |
Total | 24 | 10 | 10 | 0 | 1 | 3 | 0 | 0 | 72 | 80 | -8 | 12 | 6 | 4 | 0 | 1 | 1 | 0 | 0 | 40 | 43 | -3 | 12 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 32 | 37 | -5 | 25 | 0.521 | 72 | 125 | 197 | 1 | 2 | 29 | 22 | 20 | 1 | 744 | 275 | 235 | 230 | 4 | 740 | 202 | 172 | 422 | 65 | 10 | 15.38% | 79 | 15 | 81.01% | 2 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 570 | 392 | 565 | 178 | 311 | 156 | |
_Since Last GM Reset | 24 | 10 | 10 | 0 | 1 | 3 | 0 | 0 | 72 | 80 | -8 | 12 | 6 | 4 | 0 | 1 | 1 | 0 | 0 | 40 | 43 | -3 | 12 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 32 | 37 | -5 | 25 | 0.521 | 72 | 125 | 197 | 1 | 2 | 29 | 22 | 20 | 1 | 744 | 275 | 235 | 230 | 4 | 740 | 202 | 172 | 422 | 65 | 10 | 15.38% | 79 | 15 | 81.01% | 2 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 570 | 392 | 565 | 178 | 311 | 156 | |
_Vs Conference | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 32 | 42 | -10 | 8 | 3 | 4 | 0 | 1 | 0 | 0 | 0 | 24 | 29 | -5 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 11 | 0.500 | 32 | 54 | 86 | 0 | 1 | 13 | 12 | 6 | 1 | 355 | 138 | 112 | 104 | 1 | 329 | 97 | 85 | 198 | 32 | 3 | 9.38% | 39 | 10 | 74.36% | 2 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 264 | 183 | 258 | 81 | 139 | 68 | |
_Vs Division | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 11 | 5 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 9 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 8 | 1.000 | 16 | 29 | 45 | 0 | 0 | 6 | 8 | 1 | 1 | 129 | 47 | 42 | 39 | 1 | 111 | 31 | 37 | 73 | 13 | 2 | 15.38% | 16 | 4 | 75.00% | 2 | 383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% | 96 | 66 | 92 | 30 | 51 | 24 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
24 | 25 | L2 | 72 | 125 | 197 | 744 | 740 | 202 | 172 | 422 | 1 | 2 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 10 | 10 | 1 | 3 | 0 | 0 | 72 | 80 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 6 | 4 | 1 | 1 | 0 | 0 | 40 | 43 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 4 | 6 | 0 | 2 | 0 | 0 | 32 | 37 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
65 | 10 | 15.38% | 79 | 15 | 81.01% | 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 |
---|---|---|---|---|---|---|---|
275 | 235 | 230 | 4 | 29 | 22 | 20 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
383 | 804 | 47.64% | 394 | 813 | 48.46% | 202 | 396 | 51.01% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
570 | 392 | 565 | 178 | 311 | 156 |
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 |
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 | 68,410 | 55,423 | 23,247 | 44,965 | 11,114 |
Attendance PCT | 95.01% | 92.37% | 96.86% | 93.68% | 92.62% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
29 | 16930 - 94.06% | 1,193,913$ | 14,326,950$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
26,189,440$ | 86,082,587$ | 86,082,587$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
443,725$ | 26,189,440$ | 0$ | 24 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
34,623,462$ | 135 | 443,725$ | 59,902,875$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
59,949,315$ | -1,882,689$ | -27,208,542$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
86,092,315$ | 1,907,685$ | 88,000,000$ | 21,092,315$ |
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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Aleksanteri Kaskimaki | Columbus Blue Jackets | 0 | 0 | |||
Brad Gardiner | Columbus Blue Jackets | 0 | 0 | |||
Denton Mateychuk | Columbus Blue Jackets | 0 | 0 | |||
Emil Hemming | Columbus Blue Jackets | 0 | 0 | |||
Gabe Smith | Columbus Blue Jackets | 0 | 0 | |||
Guillaume Richard | Columbus Blue Jackets | 0 | 0 | |||
Jakub Stancl | Columbus Blue Jackets | 0 | 0 | |||
Jesse Kiiskinen | Columbus Blue Jackets | 0 | 0 | |||
Joseph Willis | Columbus Blue Jackets | 0 | 0 | |||
Justin Ertel | Columbus Blue Jackets | 0 | 0 | |||
Niilopekka Muhonen | Columbus Blue Jackets | 0 | 0 | |||
Noah Dower Nilsson | Columbus Blue Jackets | 0 | 0 | |||
Prokhor Poltapov | Columbus Blue Jackets | 0 | 0 | |||
Rasmus Kumpulainen | Columbus Blue Jackets | 0 | 0 | |||
Theodor Niederbach | Columbus Blue Jackets | 0 | 0 | |||
Tyler Thorpe | Columbus Blue Jackets | 0 | 0 | |||
Viktor Norringer | Columbus Blue Jackets | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
2025 | |||||
2026 | |||||
2027 | |||||
2028 | |||||
2029 | |||||
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
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 |
# | 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 |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|