Day : 23 |
NYR - 2 |
OTT - 3 |
QUE - 4 |
CLB - 3 |
BNG - 2 |
TRL - 7 |
Day : 24 |
(6-3-0) - W2 |
(6-5-0) - L2 |
(7-1-0) - W3 |
(5-5-0) - L3 |
(6-3-0) - L1 |
(6-5-0) - W1 |
(6-5-0) - W2 |
(6-3-0) - L2 |
GP: 4 | W: 0 | L: 4 GF: 9 | GA: 16 | PP%: 22.22% | PK%: 70.59% GM : Alex See-Cret |
|
|
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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cody Glass (R) | X | 100.00 | 73 | 25 | 87 | 81 | 81 | 82 | 80 | 81 | 74 | 76 | 75 | 73 | 76 | 80 | 82 | 7 | 50 | 0 | 0 | 24 | 1 | 1,000,000$ | ||||
2 | Eric Robinson | X | 100.00 | 84 | 35 | 90 | 82 | 86 | 84 | 77 | 81 | 65 | 73 | 74 | 74 | 72 | 80 | 85 | 5 | 50 | 0 | 0 | 28 | 2 | 1,200,000$ | ||||
3 | Jack Drury (R) | X | 100.00 | 74 | 30 | 78 | 80 | 76 | 82 | 82 | 80 | 76 | 74 | 74 | 71 | 78 | 72 | 72 | 6 | 50 | 0 | 0 | 23 | 3 | 900,000$ | ||||
4 | Sidney Crosby (C) | X | 100.00 | 67 | 30 | 87 | 91 | 76 | 74 | 68 | 92 | 93 | 88 | 86 | 74 | 97 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 3 | 10,000,000$ | ||||
5 | Mark Scheifele (A) | X | 100.00 | 88 | 35 | 80 | 84 | 85 | 89 | 83 | 85 | 82 | 80 | 80 | 69 | 81 | 99 | 99 | 1 | 50 | 0 | 0 | 30 | 4 | 8,333,333$ | ||||
6 | Alex Galchenyuk | X | X | X | 100.00 | 77 | 27 | 97 | 88 | 84 | 87 | 85 | 91 | 76 | 86 | 82 | 66 | 91 | 96 | 95 | 1 | 50 | 0 | 0 | 29 | 4 | 8,500,000$ | ||
7 | Teuvo Teravainen | X | X | X | 100.00 | 60 | 25 | 99 | 92 | 78 | 91 | 87 | 91 | 75 | 82 | 81 | 67 | 90 | 95 | 95 | 1 | 50 | 0 | 0 | 29 | 5 | 8,000,000$ | ||
8 | Robby Fabbri | X | X | 100.00 | 87 | 40 | 81 | 92 | 84 | 85 | 82 | 88 | 76 | 81 | 81 | 66 | 82 | 80 | 81 | 8 | 50 | 0 | 0 | 27 | 4 | 7,500,000$ | |||
9 | Carter Verhaeghe | X | X | X | 100.00 | 75 | 35 | 84 | 82 | 82 | 82 | 76 | 83 | 78 | 76 | 75 | 71 | 73 | 78 | 91 | 6 | 50 | 0 | 0 | 28 | 2 | 1,250,000$ | ||
10 | Connor Brown | X | 100.00 | 70 | 30 | 95 | 85 | 82 | 85 | 82 | 84 | 65 | 74 | 75 | 68 | 74 | 86 | 85 | 1 | 50 | 0 | 0 | 29 | 2 | 1,400,000$ | ||||
11 | Michael McLeod (R) | X | 100.00 | 86 | 38 | 82 | 79 | 81 | 83 | 82 | 83 | 76 | 74 | 73 | 67 | 75 | 73 | 73 | 6 | 50 | 0 | 0 | 25 | 2 | 1,300,000$ | ||||
12 | Jordan Greenway | X | X | 100.00 | 93 | 42 | 80 | 81 | 92 | 87 | 91 | 82 | 63 | 75 | 76 | 68 | 72 | 84 | 80 | 7 | 50 | 0 | 0 | 26 | 2 | 2,150,000$ | |||
13 | Otto Leskinen | X | 100.00 | 77 | 33 | 86 | 83 | 80 | 90 | 86 | 82 | 50 | 74 | 69 | 84 | 68 | 79 | 78 | 6 | 50 | 0 | 0 | 26 | 3 | 1,800,000$ | ||||
14 | John Carlson (A) | X | 100.00 | 84 | 48 | 78 | 87 | 86 | 93 | 93 | 84 | 50 | 83 | 76 | 87 | 80 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 4 | 8,000,000$ | ||||
15 | Jacob Trouba | X | 100.00 | 97 | 45 | 71 | 87 | 87 | 91 | 86 | 86 | 52 | 83 | 77 | 91 | 70 | 96 | 99 | 8 | 50 | 0 | 0 | 29 | 3 | 7,250,000$ | ||||
16 | Olli Maatta | X | 100.00 | 79 | 37 | 82 | 88 | 83 | 87 | 83 | 85 | 50 | 81 | 70 | 85 | 70 | 95 | 96 | 7 | 50 | 0 | 0 | 29 | 4 | 5,000,000$ | ||||
17 | Markus Nutivaara | X | 100.00 | 82 | 35 | 87 | 78 | 82 | 82 | 82 | 79 | 50 | 76 | 65 | 92 | 61 | 80 | 81 | 6 | 50 | 0 | 0 | 29 | 3 | 2,750,000$ | ||||
18 | Darnell Nurse | X | 100.00 | 96 | 46 | 73 | 87 | 90 | 85 | 79 | 83 | 50 | 79 | 73 | 88 | 70 | 93 | 94 | 8 | 50 | 0 | 0 | 28 | 5 | 8,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||||||||
1 | Andrew Cogliano | X | X | X | 100.00 | 75 | 35 | 87 | 84 | 71 | 85 | 85 | 76 | 80 | 72 | 69 | 72 | 76 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 1 | 850,000$ | ||
2 | Nick Merkley (R) | X | X | 100.00 | 68 | 30 | 88 | 81 | 75 | 82 | 70 | 80 | 73 | 74 | 72 | 66 | 73 | 77 | 78 | 6 | 50 | 0 | 0 | 26 | 1 | 1,000,000$ | |||
3 | Yevgeni Svechnikov | X | X | 100.00 | 85 | 46 | 79 | 85 | 85 | 86 | 88 | 81 | 68 | 74 | 74 | 65 | 76 | 73 | 72 | 6 | 50 | 0 | 0 | 27 | 1 | 1,250,000$ | |||
4 | Filip Hallander (R) | X | X | 100.00 | 66 | 30 | 81 | 78 | 80 | 81 | 81 | 79 | 75 | 73 | 72 | 72 | 78 | 74 | 67 | 6 | 50 | 0 | 0 | 23 | 3 | 850,000$ | |||
5 | Alan Quine | X | X | X | 100.00 | 63 | 30 | 96 | 83 | 76 | 79 | 76 | 78 | 78 | 72 | 71 | 72 | 72 | 79 | 79 | 1 | 50 | 0 | 0 | 30 | 3 | 1,800,000$ | ||
6 | Dakota Joshua | X | 100.00 | 79 | 43 | 80 | 78 | 80 | 81 | 82 | 80 | 75 | 74 | 72 | 68 | 73 | 74 | 77 | 5 | 50 | 0 | 0 | 27 | 1 | 925,000$ | ||||
7 | Lukas Sedlak | X | X | 100.00 | 73 | 28 | 93 | 81 | 84 | 86 | 84 | 78 | 79 | 73 | 73 | 76 | 73 | 82 | 81 | 1 | 50 | 0 | 0 | 30 | 1 | 2,000,000$ | |||
8 | Matthew Peca | X | 100.00 | 60 | 25 | 96 | 87 | 78 | 81 | 77 | 81 | 76 | 73 | 72 | 68 | 77 | 91 | 91 | 70 | 50 | 0 | 0 | 30 | 1 | 785,000$ | ||||
9 | Rihards Bukarts | X | X | 100.00 | 74 | 30 | 89 | 86 | 78 | 81 | 78 | 81 | 67 | 74 | 73 | 67 | 77 | 81 | 80 | 5 | 50 | 0 | 0 | 28 | 2 | 850,000$ | |||
10 | J.T. Compher | X | X | 100.00 | 84 | 36 | 82 | 86 | 78 | 79 | 69 | 82 | 73 | 73 | 73 | 67 | 73 | 72 | 74 | 5 | 50 | 0 | 0 | 28 | 2 | 875,000$ | |||
11 | Matthew Highmore | X | X | X | 100.00 | 67 | 32 | 94 | 88 | 74 | 87 | 87 | 80 | 74 | 73 | 73 | 68 | 76 | 78 | 88 | 6 | 50 | 0 | 0 | 27 | 1 | 1,500,000$ | ||
12 | Jacob Olofsson (R) | X | 100.00 | 71 | 30 | 93 | 80 | 80 | 82 | 79 | 78 | 75 | 72 | 72 | 72 | 69 | 66 | 83 | 6 | 50 | 0 | 0 | 23 | 1 | 825,000$ | ||||
13 | Niklas Hansson | X | 100.00 | 72 | 35 | 84 | 81 | 78 | 80 | 77 | 78 | 50 | 73 | 63 | 85 | 63 | 76 | 67 | 5 | 50 | 0 | 0 | 28 | 2 | 875,000$ | ||||
14 | Jared Spurgeon | X | 100.00 | 65 | 40 | 97 | 80 | 73 | 73 | 71 | 78 | 50 | 71 | 66 | 80 | 71 | 89 | 88 | 70 | 50 | 0 | 0 | 34 | 1 | 920,000$ | ||||
15 | Lucas Johansen (R) | X | 100.00 | 71 | 33 | 89 | 80 | 79 | 86 | 74 | 80 | 50 | 73 | 69 | 87 | 62 | 76 | 74 | 7 | 50 | 0 | 0 | 26 | 1 | 1,300,000$ | ||||
16 | Leon Gawanke (R) | X | 100.00 | 69 | 32 | 86 | 78 | 81 | 86 | 86 | 79 | 50 | 74 | 67 | 84 | 62 | 71 | 72 | 6 | 50 | 0 | 0 | 24 | 1 | 1,500,000$ | ||||
17 | Ty Smith (R) | X | 100.00 | 76 | 25 | 81 | 82 | 78 | 82 | 80 | 80 | 58 | 74 | 66 | 83 | 66 | 74 | 72 | 6 | 50 | 0 | 0 | 23 | 1 | 1,000,000$ | ||||
18 | Jason Fram | X | 100.00 | 76 | 38 | 86 | 78 | 80 | 80 | 75 | 76 | 50 | 73 | 68 | 85 | 65 | 76 | 77 | 6 | 50 | 0 | 0 | 28 | 2 | 1,400,000$ | ||||
19 | Josh Williams (R) | X | 100.00 | 69 | 45 | 87 | 77 | 78 | 81 | 82 | 76 | 67 | 70 | 70 | 64 | 73 | 65 | 64 | 6 | 50 | 0 | 0 | 22 | 1 | 800,000$ | ||||
20 | Kody Clark (R) | X | 100.00 | 71 | 42 | 86 | 78 | 75 | 81 | 76 | 76 | 68 | 71 | 71 | 66 | 73 | 69 | 67 | 6 | 50 | 0 | 0 | 24 | 1 | 850,000$ | ||||
21 | Rocco Grimaldi | X | X | 100.00 | 66 | 28 | 96 | 90 | 72 | 80 | 77 | 81 | 76 | 73 | 73 | 64 | 78 | 94 | 94 | 1 | 50 | 0 | 0 | 30 | 1 | 850,000$ | |||
22 | Alexander Edler | X | 100.00 | 85 | 42 | 77 | 74 | 80 | 73 | 72 | 81 | 50 | 75 | 68 | 89 | 73 | 99 | 99 | 1 | 50 | 0 | 0 | 37 | 1 | 925,000$ | ||||
23 | Jakob Ragnarsson (R) | X | 100.00 | 79 | 45 | 85 | 74 | 79 | 80 | 78 | 76 | 50 | 68 | 60 | 83 | 57 | 68 | 66 | 5 | 50 | 0 | 0 | 24 | 1 | 725,000$ | ||||
24 | Adam Almqvist | X | 100.00 | 78 | 40 | 78 | 78 | 75 | 80 | 77 | 79 | 54 | 76 | 70 | 85 | 69 | 88 | 87 | 1 | 50 | 0 | 0 | 32 | 1 | 1,575,000$ | ||||
TEAM AVERAGE | 100.00 | 81 | 35 | 84 | 85 | 83 | 86 | 82 | 84 | 67 | 79 | 76 | 76 | 77 | 87 | 88 | 5 | 50 | 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 |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | John Gibson | 100.00 | 90 | 85 | 85 | 89 | 93 | 90 | 91 | 89 | 90 | 91 | 90 | 87 | 88 | 8 | 50 | 0 | 0 | 30 | 2 | 2,050,000$ | |
2 | Ondrej Pavelec | 100.00 | 87 | 90 | 88 | 94 | 92 | 93 | 95 | 91 | 91 | 94 | 92 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 1 | 5,000,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Ukko-Pekka Luukkonen (R) | 100.00 | 84 | 84 | 87 | 87 | 89 | 89 | 88 | 88 | 86 | 90 | 87 | 76 | 75 | 8 | 50 | 0 | 0 | 24 | 1 | 950,000$ | |
2 | Steve Mason | 100.00 | 84 | 87 | 84 | 89 | 89 | 88 | 93 | 86 | 87 | 90 | 90 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 975,000$ | |
3 | Kevin Lankinen | 100.00 | 86 | 83 | 85 | 85 | 89 | 87 | 86 | 85 | 86 | 86 | 85 | 76 | 73 | 6 | 50 | 0 | 0 | 28 | 2 | 1,700,000$ | |
TEAM AVERAGE | 100.00 | 89 | 88 | 87 | 92 | 93 | 92 | 93 | 90 | 91 | 93 | 91 | 93 | 94 | 5 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 87 | 87 | 86 | 86 | 88 | 90 | 70 | CAN | 63 | 2 | 2,500,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sidney Crosby | Calgary Flames | C | 4 | 4 | 1 | 5 | -1 | 2 | 0 | 3 | 4 | 15 | 5 | 8 | 26.67% | 3 | 84 | 21.08 | 2 | 0 | 2 | 2 | 6 | 1 | 1 | 2 | 1 | 18 | 0 | 0 | 62.35% | 85 | 8 | 1 | 0 | 0 | 1.19 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
2 | Teuvo Teravainen | Calgary Flames | C/LW/RW | 4 | 0 | 4 | 4 | 1 | 0 | 0 | 0 | 5 | 11 | 3 | 4 | 0.00% | 3 | 63 | 15.82 | 0 | 2 | 2 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 4 | 1 | 0 | 0 | 1.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Jack Drury | Calgary Flames | C | 4 | 1 | 2 | 3 | 1 | 4 | 0 | 2 | 3 | 2 | 2 | 4 | 50.00% | 2 | 60 | 15.15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 0 | 0 | 53.85% | 39 | 2 | 2 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Jacob Trouba | Calgary Flames | D | 4 | 0 | 2 | 2 | 0 | 6 | 0 | 9 | 7 | 8 | 2 | 7 | 0.00% | 9 | 105 | 26.32 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 1 | 11 | 0 | 0 | 0.00% | 0 | 4 | 6 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Alex Galchenyuk | Calgary Flames | C/LW/RW | 4 | 0 | 2 | 2 | -2 | 0 | 0 | 1 | 4 | 16 | 3 | 3 | 0.00% | 1 | 67 | 16.84 | 0 | 2 | 2 | 1 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 3 | 8 | 1 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Carter Verhaeghe | Calgary Flames | C/LW/RW | 4 | 1 | 1 | 2 | 0 | 4 | 0 | 6 | 2 | 16 | 3 | 7 | 6.25% | 3 | 63 | 15.94 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 3 | 4 | 0 | 0 | 33.33% | 6 | 3 | 2 | 0 | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Eric Robinson | Calgary Flames | LW | 4 | 1 | 0 | 1 | -3 | 2 | 0 | 7 | 4 | 5 | 2 | 2 | 20.00% | 0 | 52 | 13.23 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 14 | 0 | 0 | 44.00% | 25 | 1 | 1 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | John Carlson | Calgary Flames | D | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 6 | 8 | 4 | 1 | 2 | 0.00% | 3 | 72 | 18.20 | 0 | 0 | 0 | 2 | 7 | 0 | 1 | 1 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Mark Scheifele | Calgary Flames | C | 4 | 0 | 1 | 1 | 0 | 4 | 0 | 12 | 5 | 7 | 2 | 3 | 0.00% | 0 | 62 | 15.57 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 58 | 7 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Olli Maatta | Calgary Flames | D | 4 | 0 | 1 | 1 | -1 | 4 | 0 | 6 | 15 | 4 | 2 | 2 | 0.00% | 6 | 98 | 24.62 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 1 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Robby Fabbri | Calgary Flames | C/LW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 7 | 1 | 7 | 14.29% | 0 | 61 | 15.44 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 5 | 2 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Darnell Nurse | Calgary Flames | D | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 3 | 13 | 5 | 0 | 0 | 0.00% | 4 | 65 | 16.45 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Jordan Greenway | Calgary Flames | LW/RW | 4 | 1 | 0 | 1 | 0 | 2 | 0 | 12 | 2 | 7 | 0 | 4 | 14.29% | 1 | 53 | 13.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 3 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Otto Leskinen | Calgary Flames | D | 4 | 0 | 0 | 0 | -2 | 4 | 0 | 1 | 7 | 0 | 1 | 5 | 0.00% | 5 | 69 | 17.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Cody Glass | Calgary Flames | C | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 1 | 0 | 3 | 4 | 0.00% | 0 | 53 | 13.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Markus Nutivaara | Calgary Flames | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 10 | 5 | 2 | 1 | 0.00% | 9 | 74 | 18.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Connor Brown | Calgary Flames | RW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 3 | 6 | 2 | 5 | 0.00% | 3 | 37 | 9.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Michael McLeod | Calgary Flames | C | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 0 | 4 | 1 | 1 | 0.00% | 1 | 37 | 9.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 72 | 9 | 16 | 25 | -22 | 34 | 0 | 85 | 94 | 122 | 35 | 69 | 7.38% | 53 | 1184 | 16.45 | 2 | 4 | 6 | 10 | 57 | 2 | 4 | 6 | 7 | 97 | 0 | 0 | 52.23% | 224 | 54 | 38 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | John Gibson | Calgary Flames | 1 | 0 | 0 | 1 | 0.892 | 3.87 | 62 | 0 | 0 | 4 | 37 | 18 | 0 | 0 | 0.000 | 0 | 1 | 3 | 0 | 0 | 0 |
2 | Ondrej Pavelec | Calgary Flames | 3 | 0 | 3 | 0 | 0.880 | 4.05 | 178 | 0 | 0 | 12 | 100 | 52 | 0 | 0 | 0.000 | 0 | 3 | 1 | 0 | 0 | 0 |
Team Total or Average | 4 | 0 | 3 | 1 | 0.883 | 4.00 | 240 | 0 | 0 | 16 | 137 | 70 | 0 | 0 | 0.000 | 0 | 4 | 4 | 0 | 0 | 0 |
Player Name | POS | Age | Birthday | Terms | Contract | Cap % | Year 2023 | Year 2024 | Year 2025 | Year 2026 | Year 2027 | Year 2028 | Year 2029 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Forward | |||||||||||||
Alex Galchenyuk | C/LW/RW | 29 | 1993-01-22 11:54:59 | TW | 4 | 9.77% | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA [Age: 33] | ||
Carter Verhaeghe | C/LW/RW | 28 | 1994-01-22 04:19:14 | TW | 2 | 1.44% | 1,250,000$ | 1,250,000$ | UFA [Age: 30] | ||||
Cody Glass | C | 24 | 1998-01-02 10:39:40 | TW | 1 | 1.15% | 1,000,000$ | RFA ( Groupe: 2 ) [Age: 25] | |||||
Connor Brown | RW | 29 | 1993-01-22 04:52:16 | TW | 2 | 1.61% | 1,400,000$ | 1,400,000$ | UFA [Age: 31] | ||||
Eric Robinson | LW | 28 | 1994-01-02 07:30:23 | NT TW | 2 | 1.38% | 1,200,000$ | 1,200,000$ | UFA [Age: 30] | ||||
Jack Drury | C | 23 | 1999-01-02 07:15:30 | TW | 3 | 1.03% | 900,000$ | 900,000$ | 900,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||
Jordan Greenway | LW/RW | 26 | 1996-01-22 10:39:12 | TW | 2 | 2.47% | 2,150,000$ | 2,150,000$ | UFA [Age: 28] | ||||
Mark Scheifele | C | 30 | 1992-01-22 04:57:18 | TW | 4 | 9.58% | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA [Age: 34] | ||
Michael McLeod | C | 25 | 1997-01-22 04:26:57 | TW | 2 | 1.49% | 1,300,000$ | 1,300,000$ | RFA ( Groupe: 2 ) [Age: 27] | ||||
Robby Fabbri | C/LW | 27 | 1995-01-22 01:43:28 | TW | 4 | 8.62% | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA [Age: 31] | ||
Sidney Crosby | C | 36 | 1986-01-22 18:29:38 | TW | 3 | 11.49% | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA [Age: 39] | |||
Teuvo Teravainen | C/LW/RW | 29 | 1993-01-22 08:34:08 | TW | 5 | 9.20% | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA [Age: 34] | |
AVERAGE (12) | 27.83 | 59.23% | 51,533,333$ | 50,533,333$ | 43,233,333$ | 32,333,333$ | 8,000,000$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Darnell Nurse | D | 28 | 1994-01-22 03:39:16 | TW | 5 | 9.20% | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA [Age: 33] | |
Jacob Trouba | D | 29 | 1993-01-22 05:27:57 | TW | 3 | 8.33% | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA [Age: 32] | |||
John Carlson | D | 33 | 1989-01-22 12:29:38 | TW | 4 | 9.20% | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA [Age: 37] | ||
Markus Nutivaara | D | 29 | 1993-01-22 10:46:30 | TW | 3 | 3.16% | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA [Age: 32] | |||
Olli Maatta | D | 29 | 1993-01-22 14:26:45 | TW | 4 | 5.75% | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA [Age: 33] | ||
Otto Leskinen | D | 26 | 1996-01-22 01:37:02 | NT TW | 3 | 2.07% | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA [Age: 29] | |||
AVERAGE (6) | 29.00 | 37.70% | 32,800,000$ | 32,800,000$ | 32,800,000$ | 21,000,000$ | 8,000,000$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
John Gibson | G | 30 | 1992-01-22 08:52:25 | NT TW | 2 | 2.36% | 2,050,000$ | 2,050,000$ | UFA [Age: 32] | ||||
Ondrej Pavelec | G | 36 | 1986-01-22 00:29:38 | TW | 1 | 5.75% | 5,000,000$ | UFA [Age: 37] | |||||
AVERAGE (2) | 33.00 | 8.10% | 7,050,000$ | 2,050,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | -5,000,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (20) | 99.29% | 86,383,333$ | 85,383,333$ | 76,033,333$ | 53,333,333$ | 16,000,000$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Teravainen
86
|
Crosby
0
|
Galchenyuk
27
| |||||
Fabbri
0
|
Scheifele
0
|
Glass
0
| |||||
Greenway
0
|
Drury
0
|
Verhaeghe
0
| |||||
McLeod
0
|
Robinson
0
|
Brown
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Maatta
6
|
Carlson
0
| ||||||
Trouba
0
|
Nurse
0
| ||||||
Nutivaara
0
|
Leskinen
0
| ||||||
Trouba
0
|
Maatta
6
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Galchenyuk
27
|
Crosby
0
|
Teravainen
86
| |||||
Verhaeghe
0
|
Scheifele
0
|
Fabbri
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Trouba
0
|
Carlson
0
| ||||||
Nurse
0
|
Maatta
6
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Crosby
0
|
Robinson
0
| |||||
Drury
0
|
Verhaeghe
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Trouba
0
|
Maatta
6
| |||||
Nurse
0
|
Carlson
0
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Glass
0
|
Trouba
0
|
Nutivaara
0
| |||||||||
Drury
0
|
Nurse
0
|
Carlson
0
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Crosby
0
|
Verhaeghe
0
| |||||
Scheifele
0
|
Fabbri
0
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Trouba
0
|
Maatta
6
| |||||
Nurse
0
|
Leskinen
0
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Teuvo Teravainen | Sidney Crosby | Alex Galchenyuk | Jacob Trouba | John Carlson |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Teuvo Teravainen | Sidney Crosby | Mark Scheifele | Jacob Trouba | John Carlson |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mark Scheifele, Robby Fabbri, Jordan Greenway | Sidney Crosby, Alex Galchenyuk | Jack Drury |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Markus Nutivaara, Otto Leskinen, Darnell Nurse | John Carlson | Markus Nutivaara, Jacob Trouba |
Penalty Shots |
---|
Sidney Crosby, Teuvo Teravainen, Alex Galchenyuk, Mark Scheifele, Robby Fabbri |
Goalie |
---|
#1 : John Gibson, #2 : Ondrej Pavelec |
Custom OT Lines Forwards |
---|
Sidney Crosby, Teuvo Teravainen, Mark Scheifele, Alex Galchenyuk, Robby Fabbri, Carter Verhaeghe, Carter Verhaeghe, Jack Drury, Connor Brown, Jordan Greenway, Eric Robinson |
Custom OT Lines Defensemen |
---|
Jacob Trouba, Otto Leskinen, Darnell Nurse, John Carlson, Markus Nutivaara |
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 | Vancouver Canucks | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 5 | 0 | 122 | 25 | 40 | 53 | 4 | 137 | 53 | 34 | 85 | 9 | 2 | 22.22% | 17 | 5 | 70.59% | 2 | 42 | 81 | 51.85% | 50 | 85 | 58.82% | 25 | 58 | 43.10% | 84 | 54 | 100 | 32 | 57 | 27 |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 5 | 0 | 122 | 25 | 40 | 53 | 4 | 137 | 53 | 34 | 85 | 9 | 2 | 22.22% | 17 | 5 | 70.59% | 2 | 42 | 81 | 51.85% | 50 | 85 | 58.82% | 25 | 58 | 43.10% | 84 | 54 | 100 | 32 | 57 | 27 | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 5 | 0 | 122 | 25 | 40 | 53 | 4 | 137 | 53 | 34 | 85 | 9 | 2 | 22.22% | 17 | 5 | 70.59% | 2 | 42 | 81 | 51.85% | 50 | 85 | 58.82% | 25 | 58 | 43.10% | 84 | 54 | 100 | 32 | 57 | 27 | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 5 | 0 | 122 | 25 | 40 | 53 | 4 | 137 | 53 | 34 | 85 | 9 | 2 | 22.22% | 17 | 5 | 70.59% | 2 | 42 | 81 | 51.85% | 50 | 85 | 58.82% | 25 | 58 | 43.10% | 84 | 54 | 100 | 32 | 57 | 27 | |
_Vs Division | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 0 | 4 | 5 | 0 | 122 | 25 | 40 | 53 | 4 | 137 | 53 | 34 | 85 | 9 | 2 | 22.22% | 17 | 5 | 70.59% | 2 | 42 | 81 | 51.85% | 50 | 85 | 58.82% | 25 | 58 | 43.10% | 84 | 54 | 100 | 32 | 57 | 27 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
4 | 0 | OTL1 | 9 | 16 | 25 | 122 | 137 | 53 | 34 | 85 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 4 | 0 | 0 | 0 | 0 | 9 | 16 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 7 | 9 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 7 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 3 | 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 |
---|---|---|---|---|---|---|
9 | 2 | 22.22% | 17 | 5 | 70.59% | 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 |
---|---|---|---|---|---|---|---|
25 | 40 | 53 | 4 | 0 | 4 | 5 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
42 | 81 | 51.85% | 50 | 85 | 58.82% | 25 | 58 | 43.10% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
84 | 54 | 100 | 32 | 57 | 27 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
Day:2 | ||||||||||
2 | 7 | Calgary Flames | 0 | Vancouver Canucks | 4 | L | BoxScore | |||
Day:4 | ||||||||||
4 | 15 | Calgary Flames | 2 | Vancouver Canucks | 3 | L | BoxScore | |||
Day:6 | ||||||||||
6 | 23 | Vancouver Canucks | 5 | Calgary Flames | 4 | L | BoxScore | |||
Day:8 | ||||||||||
8 | 31 | Vancouver Canucks | 4 | Calgary Flames | 3 | L | X | BoxScore |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |