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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anton Blidh | X | X | 100.00 | 86 | 37 | 89 | 65 | 71 | 77 | 74 | 62 | 57 | 61 | 64 | 63 | 65 | 71 | 68 | 53 | 50 | 63 | 0 | |||
2 | Gage Quinney | X | X | 100.00 | 55 | 35 | 95 | 65 | 72 | 71 | 72 | 64 | 75 | 65 | 64 | 63 | 67 | 71 | 66 | 42 | 50 | 63 | 0 | |||
3 | Tim Gettinger | X | X | 100.00 | 79 | 73 | 76 | 61 | 96 | 74 | 78 | 62 | 59 | 64 | 63 | 58 | 62 | 65 | 64 | 56 | 50 | 63 | 0 | |||
4 | Kyle Clifford | X | 100.00 | 79 | 86 | 74 | 62 | 83 | 72 | 89 | 61 | 59 | 64 | 63 | 56 | 63 | 78 | 70 | 62 | 50 | 63 | 0 | ||||
5 | Christoffer Ehn | X | X | X | 100.00 | 73 | 35 | 93 | 63 | 82 | 71 | 76 | 62 | 77 | 61 | 62 | 66 | 62 | 69 | 65 | 58 | 50 | 63 | 0 | ||
6 | Brian Gibbons | X | X | X | 100.00 | 55 | 35 | 92 | 65 | 63 | 75 | 77 | 62 | 67 | 64 | 61 | 63 | 59 | 82 | 73 | 26 | 50 | 62 | 0 | ||
7 | Brett Sutter | X | 100.00 | 65 | 46 | 80 | 59 | 74 | 87 | 92 | 57 | 71 | 58 | 56 | 59 | 55 | 84 | 79 | 26 | 50 | 62 | 0 | ||||
8 | Paul Thompson | X | 100.00 | 68 | 36 | 61 | 58 | 77 | 78 | 83 | 59 | 63 | 60 | 62 | 57 | 61 | 82 | 76 | 26 | 50 | 62 | 0 | ||||
9 | Cooper Marody | X | X | 100.00 | 62 | 46 | 79 | 61 | 72 | 74 | 78 | 64 | 77 | 63 | 62 | 59 | 61 | 69 | 65 | 47 | 50 | 62 | 0 | |||
10 | Robert Lantosi | X | 100.00 | 60 | 33 | 82 | 59 | 69 | 77 | 82 | 61 | 58 | 60 | 62 | 57 | 63 | 71 | 66 | 46 | 50 | 61 | 0 | ||||
11 | Curtis Douglas (R) | X | 100.00 | 89 | 83 | 77 | 56 | 99 | 71 | 76 | 54 | 72 | 58 | 55 | 63 | 54 | 61 | 63 | 62 | 50 | 61 | 0 | ||||
12 | Dennis Yan | X | 100.00 | 68 | 46 | 79 | 59 | 77 | 82 | 87 | 57 | 55 | 56 | 58 | 59 | 57 | 67 | 64 | 65 | 50 | 60 | 0 | ||||
13 | Jayden Halbgewachs | X | X | 100.00 | 60 | 35 | 91 | 60 | 60 | 79 | 84 | 60 | 67 | 58 | 62 | 54 | 61 | 67 | 64 | 43 | 50 | 60 | 0 | |||
14 | Joe Snively | X | 100.00 | 63 | 36 | 89 | 59 | 63 | 77 | 82 | 58 | 62 | 60 | 58 | 54 | 59 | 68 | 65 | 42 | 50 | 59 | 0 | ||||
15 | Jimmy Huntington | X | 100.00 | 66 | 39 | 87 | 55 | 75 | 80 | 75 | 57 | 72 | 56 | 54 | 55 | 55 | 65 | 63 | 44 | 50 | 58 | 0 | ||||
16 | Reid Duke | X | 100.00 | 64 | 37 | 68 | 58 | 73 | 67 | 72 | 57 | 70 | 56 | 59 | 54 | 58 | 69 | 65 | 48 | 50 | 58 | 0 | ||||
17 | Ryan White | X | X | 100.00 | 73 | 81 | 54 | 59 | 74 | 60 | 65 | 58 | 54 | 52 | 57 | 56 | 55 | 82 | 73 | 39 | 50 | 58 | 0 | |||
18 | Slater Koekkoek | X | 100.00 | 79 | 51 | 76 | 67 | 79 | 84 | 77 | 68 | 30 | 70 | 58 | 72 | 52 | 73 | 68 | 73 | 50 | 68 | 0 | ||||
19 | Kyle Wood | X | 100.00 | 90 | 50 | 78 | 54 | 99 | 81 | 86 | 55 | 30 | 54 | 53 | 62 | 46 | 69 | 65 | 62 | 50 | 65 | 0 | ||||
20 | Thomas Harley (R) | X | 100.00 | 72 | 37 | 78 | 62 | 81 | 84 | 89 | 63 | 30 | 64 | 58 | 65 | 51 | 63 | 65 | 84 | 50 | 65 | 0 | ||||
21 | Michael Kapla | X | 100.00 | 65 | 42 | 85 | 59 | 74 | 70 | 72 | 57 | 30 | 61 | 54 | 58 | 47 | 73 | 67 | 38 | 50 | 60 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
1 | Declan McDonnell (R) | X | 100.00 | 58 | 39 | 86 | 55 | 67 | 72 | 77 | 53 | 56 | 54 | 51 | 52 | 55 | 59 | 62 | 50 | 50 | 55 | 0 | ||||
TEAM AVERAGE | 100.00 | 70 | 47 | 80 | 60 | 76 | 76 | 79 | 60 | 59 | 60 | 59 | 59 | 58 | 71 | 67 | 50 | 50 | 61 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Kallgren | 100.00 | 72 | 66 | 64 | 83 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 69 | 73 | 47 | 50 | 70 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 66 | 64 | 83 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 69 | 73 | 47 | 50 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Leach | 72 | 74 | 71 | 73 | 64 | 59 | 84 | USA | 42 | 2 | 100,000$ |
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 | Kyle Clifford | Bears (Was) | LW | 82 | 46 | 44 | 90 | -22 | 131 | 35 | 253 | 153 | 400 | 81 | 251 | 11.50% | 108 | 1786 | 21.78 | 14 | 15 | 29 | 122 | 297 | 1 | 0 | 1 | 6 | 326 | 1 | 1 | 57.60% | 125 | 0 | 0 | 0 | 2 | 1.01 | 1 | 5 | 3 | 3 | 1 | 5 | 5 | 2 |
2 | Paul Thompson | Bears (Was) | RW | 82 | 41 | 47 | 88 | -20 | 71 | 5 | 161 | 145 | 377 | 111 | 286 | 10.88% | 46 | 1546 | 18.86 | 12 | 18 | 30 | 108 | 303 | 2 | 0 | 2 | 3 | 103 | 1 | 0 | 61.21% | 116 | 0 | 0 | 0 | 1 | 1.14 | 2 | 2 | 0 | 0 | 0 | 6 | 4 | 5 |
3 | Tim Gettinger | Bears (Was) | LW/RW | 82 | 38 | 26 | 64 | -35 | 109 | 15 | 194 | 128 | 381 | 119 | 291 | 9.97% | 69 | 1503 | 18.34 | 12 | 8 | 20 | 101 | 311 | 0 | 2 | 2 | 1 | 102 | 2 | 1 | 65.93% | 182 | 0 | 0 | 0 | 0 | 0.85 | 2 | 5 | 0 | 1 | 2 | 3 | 3 | 3 |
4 | Ryan White | Bears (Was) | C/LW | 56 | 22 | 34 | 56 | 27 | 86 | 30 | 73 | 93 | 151 | 35 | 93 | 14.57% | 24 | 745 | 13.32 | 1 | 0 | 1 | 5 | 27 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 50.84% | 956 | 0 | 0 | 0 | 0 | 1.50 | 0 | 0 | 1 | 2 | 2 | 3 | 4 | 3 |
5 | Gage Quinney | Bears (Was) | C/LW | 82 | 26 | 27 | 53 | 0 | 7 | 5 | 2 | 112 | 160 | 42 | 118 | 16.25% | 23 | 844 | 10.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 2 | 58.91% | 920 | 0 | 0 | 0 | 1 | 1.25 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 5 |
6 | Michael Kapla | Bears (Was) | D | 82 | 6 | 44 | 50 | -14 | 140 | 0 | 204 | 52 | 85 | 26 | 52 | 7.06% | 110 | 1306 | 15.94 | 1 | 1 | 2 | 35 | 96 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
7 | Anton Blidh | Bears (Was) | LW/RW | 82 | 17 | 30 | 47 | 2 | 69 | 5 | 122 | 83 | 174 | 39 | 107 | 9.77% | 26 | 826 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.70% | 46 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 3 |
8 | Cooper Marody | Bears (Was) | C/RW | 82 | 8 | 30 | 38 | 1 | 24 | 10 | 40 | 74 | 134 | 35 | 125 | 5.97% | 17 | 836 | 10.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 58.62% | 58 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 |
9 | Jayden Halbgewachs | Bears (Was) | C/LW | 82 | 14 | 22 | 36 | -15 | 90 | 0 | 116 | 64 | 109 | 31 | 95 | 12.84% | 68 | 1020 | 12.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 69.57% | 23 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 |
10 | Brett Ritchie | Washington Capitals | RW | 34 | 11 | 20 | 31 | -7 | 70 | 10 | 110 | 51 | 160 | 41 | 110 | 6.88% | 9 | 563 | 16.57 | 6 | 6 | 12 | 51 | 126 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 65.62% | 32 | 0 | 0 | 0 | 0 | 1.10 | 0 | 1 | 0 | 1 | 1 | 1 | 3 | 0 |
11 | Thomas Harley | Bears (Was) | D | 46 | 7 | 22 | 29 | 28 | 68 | 0 | 105 | 29 | 50 | 14 | 47 | 14.00% | 48 | 1029 | 22.38 | 4 | 7 | 11 | 31 | 207 | 0 | 0 | 0 | 0 | 158 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 |
12 | Rasmus Sandin | Washington Capitals | D | 18 | 4 | 23 | 27 | 1 | 38 | 0 | 67 | 21 | 40 | 11 | 25 | 10.00% | 38 | 417 | 23.22 | 3 | 7 | 10 | 31 | 71 | 0 | 2 | 2 | 0 | 55 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
13 | Robert Lantosi | Bears (Was) | RW | 82 | 11 | 14 | 25 | -6 | 10 | 0 | 44 | 51 | 109 | 34 | 98 | 10.09% | 19 | 436 | 5.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 41.67% | 24 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Slater Koekkoek | Bears (Was) | D | 31 | 2 | 20 | 22 | 11 | 12 | 0 | 35 | 32 | 42 | 18 | 37 | 4.76% | 36 | 736 | 23.76 | 2 | 7 | 9 | 34 | 132 | 0 | 1 | 1 | 0 | 145 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
15 | Dennis Yan | Bears (Was) | LW | 82 | 6 | 3 | 9 | -6 | 18 | 0 | 27 | 37 | 73 | 16 | 54 | 8.22% | 13 | 277 | 3.38 | 2 | 1 | 3 | 16 | 45 | 0 | 0 | 0 | 3 | 29 | 1 | 0 | 40.91% | 22 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
16 | Joe Snively | Bears (Was) | LW | 82 | 1 | 0 | 1 | -1 | 2 | 0 | 9 | 24 | 10 | 1 | 4 | 10.00% | 29 | 233 | 2.85 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 216 | 0 | 0 | 50.00% | 16 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Reid Duke | Bears (Was) | C | 18 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0.00% | 0 | 10 | 0.58 | 0 | 1 | 1 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 1.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 1105 | 260 | 407 | 667 | -57 | 945 | 115 | 1562 | 1149 | 2460 | 655 | 1797 | 10.57% | 683 | 14122 | 12.78 | 57 | 71 | 128 | 538 | 1626 | 4 | 5 | 9 | 20 | 1232 | 21 | 7 | 56.20% | 2525 | 0 | 0 | 0 | 4 | 0.94 | 5 | 13 | 6 | 7 | 8 | 27 | 29 | 38 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Blidh | LW/RW | 27 | 1995-03-14 | No | 185 Lbs | 6 ft0 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Brett Sutter | C | 34 | 1987-06-02 | No | 200 Lbs | 6 ft0 | No | No | No | 3 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Brian Gibbons | C/LW/RW | 34 | 1988-02-26 | No | 175 Lbs | 5 ft8 | No | No | No | 4 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Christoffer Ehn | C/LW/RW | 25 | 1996-04-05 | No | 195 Lbs | 6 ft3 | No | No | No | 2 | RFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Cooper Marody | C/RW | 25 | 1996-12-20 | No | 184 Lbs | 6 ft0 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Curtis Douglas | C | 22 | 2000-03-06 | Yes | 235 Lbs | 6 ft9 | No | No | No | 4 | ELC | Pro & Farm | 300,000$ | 0$ | 0$ | No | ||
Declan McDonnell | RW | 19 | 2002-05-25 | Yes | 174 Lbs | 5 ft11 | No | No | No | 1 | ELC | Pro & Farm | 0$ | 0$ | No | |||
Dennis Yan | LW | 24 | 1997-04-14 | No | 197 Lbs | 6 ft1 | No | No | No | 1 | RFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Erik Kallgren | G | 25 | 1996-10-14 | No | 198 Lbs | 6 ft3 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Gage Quinney | C/LW | 26 | 1995-07-29 | No | 200 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jayden Halbgewachs | C/LW | 25 | 1997-03-22 | No | 160 Lbs | 5 ft8 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jimmy Huntington | C | 23 | 1998-11-18 | No | 204 Lbs | 6 ft0 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Joe Snively | LW | 26 | 1996-01-01 | No | 170 Lbs | 5 ft9 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Kyle Clifford | LW | 31 | 1991-01-13 | No | 211 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Kyle Wood | D | 25 | 1996-05-04 | No | 235 Lbs | 6 ft7 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Michael Kapla | D | 27 | 1994-09-19 | No | 200 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Paul Thompson | RW | 33 | 1988-11-30 | No | 200 Lbs | 6 ft1 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Reid Duke | C | 26 | 1996-01-28 | No | 191 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Robert Lantosi | RW | 26 | 1995-09-24 | No | 185 Lbs | 5 ft11 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Ryan White | C/LW | 34 | 1988-03-17 | No | 200 Lbs | 6 ft0 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Slater Koekkoek | D | 28 | 1994-02-18 | No | 193 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Thomas Harley | D | 20 | 2001-08-19 | Yes | 190 Lbs | 6 ft3 | No | No | No | 1 | ELC | Pro & Farm | 0$ | 0$ | No | |||
Tim Gettinger | LW/RW | 23 | 1998-04-14 | No | 218 Lbs | 6 ft6 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 26.43 | 196 Lbs | 6 ft1 | 2.00 | 317,391$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Kyle Clifford | Paul Thompson | 40 | 1 | 2 | 2 | |
2 | Tim Gettinger | 30 | 1 | 2 | 2 | ||
3 | Anton Blidh | Gage Quinney | Cooper Marody | 20 | 1 | 2 | 2 |
4 | Jayden Halbgewachs | Robert Lantosi | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | Michael Kapla | 30 | 1 | 2 | 2 | ||
3 | Jayden Halbgewachs | 20 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Kyle Clifford | Paul Thompson | 60 | 1 | 2 | 2 | |
2 | Tim Gettinger | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Michael Kapla | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Kyle Clifford | 60 | 1 | 2 | 2 | |
2 | Tim Gettinger | Paul Thompson | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Michael Kapla | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | Kyle Clifford | 40 | 1 | 2 | 2 | Michael Kapla | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Kyle Clifford | 60 | 1 | 2 | 2 | |
2 | Tim Gettinger | Paul Thompson | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Michael Kapla | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Kyle Clifford | Paul Thompson |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Kyle Clifford | Paul Thompson |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Dennis Yan, , Joe Snively | Dennis Yan, | Joe Snively |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Michael Kapla, | Michael Kapla, |
Penalty Shots |
---|
, Kyle Clifford, Tim Gettinger, Paul Thompson, |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
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, , , , , , , , , , |
Custom OT Lines Defensemen |
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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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
82 | 43 | L9 | 249 | 408 | 657 | 2454 | 2766 | 832 | 1063 | 1719 | 2 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 16 | 57 | 1 | 3 | 1 | 4 | 249 | 395 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 9 | 28 | 0 | 1 | 1 | 2 | 127 | 198 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 7 | 29 | 1 | 2 | 0 | 2 | 122 | 197 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 9 | 0 | 0 | 1 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
382 | 56 | 14.66% | 449 | 131 | 70.82% | 4 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
792 | 845 | 800 | 35 | 100 | 79 | 68 | 6 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
907 | 2477 | 36.62% | 852 | 2353 | 36.21% | 532 | 1354 | 39.29% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1834 | 1315 | 2227 | 556 | 891 | 418 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2021-10-01 | 9 | Bears | 0 | Marlies | 2 | L | BoxScore | |||
2 - 2021-10-02 | 19 | Rocket | 3 | Bears | 2 | L | BoxScore | |||
6 - 2021-10-06 | 46 | IceHogs | 1 | Bears | 7 | W | BoxScore | |||
7 - 2021-10-07 | 59 | Bears | 5 | Comets | 6 | L | BoxScore | |||
9 - 2021-10-09 | 76 | Americans | 6 | Bears | 3 | L | BoxScore | |||
12 - 2021-10-12 | 98 | Condors | 6 | Bears | 5 | L | X | X | BoxScore | |
14 - 2021-10-14 | 113 | Bears | 0 | Thunderbirds | 4 | L | BoxScore | |||
16 - 2021-10-16 | 130 | Rocket | 5 | Bears | 2 | L | BoxScore | |||
17 - 2021-10-17 | 143 | Bears | 6 | Roadrunners | 5 | W | BoxScore | |||
19 - 2021-10-19 | 159 | Bears | 6 | Crunch | 4 | W | BoxScore | |||
21 - 2021-10-21 | 175 | Stars | 4 | Bears | 2 | L | BoxScore | |||
23 - 2021-10-23 | 187 | Bears | 4 | Palm Springs | 5 | L | BoxScore | |||
26 - 2021-10-26 | 209 | Checkers | 5 | Bears | 3 | L | BoxScore | |||
28 - 2021-10-28 | 225 | Heat | 4 | Bears | 6 | W | BoxScore | |||
30 - 2021-10-30 | 241 | Bears | 0 | Griffins | 5 | L | BoxScore | |||
32 - 2021-11-01 | 259 | Rampage | 6 | Bears | 3 | L | BoxScore | |||
33 - 2021-11-02 | 269 | Bears | 1 | Monsters | 3 | L | BoxScore | |||
36 - 2021-11-05 | 290 | Bears | 0 | Griffins | 6 | L | BoxScore | |||
37 - 2021-11-06 | 300 | Palm Springs | 6 | Bears | 7 | W | BoxScore | |||
40 - 2021-11-09 | 322 | Bears | 4 | Marlies | 3 | W | X | BoxScore | ||
42 - 2021-11-11 | 332 | Bears | 7 | Heat | 4 | W | BoxScore | |||
43 - 2021-11-12 | 344 | Sound Tigers | 3 | Bears | 2 | L | X | BoxScore | ||
46 - 2021-11-15 | 363 | Bears | 6 | Eagles | 3 | W | BoxScore | |||
47 - 2021-11-16 | 376 | Americans | 6 | Bears | 3 | L | BoxScore | |||
49 - 2021-11-18 | 396 | IceHogs | 1 | Bears | 4 | W | BoxScore | |||
51 - 2021-11-20 | 407 | Bears | 2 | Devils | 6 | L | BoxScore | |||
53 - 2021-11-22 | 424 | Bears | 4 | Sound Tigers | 7 | L | BoxScore | |||
55 - 2021-11-24 | 438 | Barracuda | 7 | Bears | 3 | L | BoxScore | |||
57 - 2021-11-26 | 453 | Bears | 3 | Americans | 4 | L | X | X | BoxScore | |
58 - 2021-11-27 | 468 | Bruins | 4 | Bears | 3 | L | BoxScore | |||
61 - 2021-11-30 | 489 | Bears | 2 | Barracuda | 5 | L | BoxScore | |||
62 - 2021-12-01 | 502 | Reign | 2 | Bears | 6 | W | BoxScore | |||
64 - 2021-12-03 | 517 | Bears | 9 | Moose | 2 | W | BoxScore | |||
66 - 2021-12-05 | 532 | Thunderbirds | 5 | Bears | 1 | L | BoxScore | |||
68 - 2021-12-07 | 551 | Bears | 4 | Reign | 6 | L | BoxScore | |||
69 - 2021-12-08 | 563 | Devils | 5 | Bears | 2 | L | BoxScore | |||
72 - 2021-12-11 | 586 | Wild | 10 | Bears | 2 | L | BoxScore | |||
73 - 2021-12-12 | 598 | Bears | 0 | Thunderbirds | 3 | L | BoxScore | |||
75 - 2021-12-14 | 617 | Stars | 4 | Bears | 2 | L | BoxScore | |||
77 - 2021-12-16 | 633 | Bears | 2 | Bruins | 5 | L | BoxScore | |||
79 - 2021-12-18 | 647 | Bears | 4 | Roadrunners | 5 | L | X | BoxScore | ||
81 - 2021-12-20 | 662 | Checkers | 8 | Bears | 1 | L | BoxScore | |||
83 - 2021-12-22 | 681 | Bears | 5 | Barracuda | 7 | L | BoxScore | |||
84 - 2021-12-23 | 695 | Griffins | 5 | Bears | 2 | L | BoxScore | |||
87 - 2021-12-26 | 712 | Heat | 3 | Bears | 4 | W | BoxScore | |||
88 - 2021-12-27 | 724 | Bears | 1 | Phantoms | 9 | L | BoxScore | |||
91 - 2021-12-30 | 742 | Bears | 4 | Wolves | 6 | L | BoxScore | |||
93 - 2022-01-01 | 755 | Wolves | 2 | Bears | 3 | W | BoxScore | |||
94 - 2022-01-02 | 771 | Bears | 3 | Wild | 4 | L | BoxScore | |||
95 - 2022-01-03 | 778 | Bears | 1 | Checkers | 5 | L | BoxScore | |||
97 - 2022-01-05 | 794 | Roadrunners | 6 | Bears | 5 | L | BoxScore | |||
100 - 2022-01-08 | 815 | Bears | 3 | Wolf Pack | 5 | L | BoxScore | |||
101 - 2022-01-09 | 826 | Phantoms | 6 | Bears | 3 | L | BoxScore | |||
103 - 2022-01-11 | 849 | Senators | 5 | Bears | 4 | L | BoxScore | |||
105 - 2022-01-13 | 862 | Bears | 2 | Bruins | 3 | L | X | BoxScore | ||
107 - 2022-01-15 | 880 | Bears | 0 | Rocket | 5 | L | BoxScore | |||
108 - 2022-01-16 | 886 | Eagles | 5 | Bears | 1 | L | BoxScore | |||
111 - 2022-01-19 | 916 | Wolf Pack | 6 | Bears | 0 | L | BoxScore | |||
113 - 2022-01-21 | 931 | Bears | 2 | Wild | 7 | L | BoxScore | |||
115 - 2022-01-23 | 947 | Rampage | 4 | Bears | 5 | W | BoxScore | |||
117 - 2022-01-25 | 958 | Bears | 4 | Penguins | 5 | L | X | X | BoxScore | |
119 - 2022-01-27 | 976 | Admirals | 4 | Bears | 2 | L | BoxScore | |||
121 - 2022-01-29 | 1002 | Bears | 3 | Stars | 5 | L | BoxScore | |||
122 - 2022-01-30 | 1012 | Marlies | 1 | Bears | 5 | W | BoxScore | |||
123 - 2022-01-31 | 1018 | Bears | 6 | Condors | 5 | W | BoxScore | |||
126 - 2022-02-03 | 1042 | Moose | 5 | Bears | 4 | L | X | X | BoxScore | |
128 - 2022-02-05 | 1058 | Bears | 4 | Palm Springs | 5 | L | BoxScore | |||
130 - 2022-02-07 | 1075 | Comets | 8 | Bears | 3 | L | BoxScore | |||
132 - 2022-02-09 | 1090 | Bears | 2 | Admirals | 4 | L | BoxScore | |||
135 - 2022-02-12 | 1105 | Monsters | 5 | Bears | 2 | L | BoxScore | |||
136 - 2022-02-13 | 1117 | Bears | 9 | IceHogs | 2 | W | BoxScore | |||
139 - 2022-02-16 | 1136 | Bears | 2 | Gulls | 3 | L | BoxScore | |||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
141 - 2022-02-18 | 1145 | Condors | 7 | Bears | 8 | W | X | X | BoxScore | |
143 - 2022-02-20 | 1165 | Bears | 1 | Comets | 6 | L | BoxScore | |||
144 - 2022-02-21 | 1177 | Senators | 5 | Bears | 1 | L | BoxScore | |||
147 - 2022-02-24 | 1196 | Bears | 0 | Condors | 6 | L | BoxScore | |||
149 - 2022-02-26 | 1208 | Rocket | 6 | Bears | 1 | L | BoxScore | |||
152 - 2022-03-01 | 1231 | Bears | 0 | Rampage | 5 | L | BoxScore | |||
153 - 2022-03-02 | 1241 | Admirals | 4 | Bears | 0 | L | BoxScore | |||
156 - 2022-03-05 | 1264 | Eagles | 6 | Bears | 2 | L | BoxScore | |||
157 - 2022-03-06 | 1273 | Bears | 1 | Crunch | 7 | L | BoxScore | |||
163 - 2022-03-12 | 1306 | Wolves | 4 | Bears | 3 | L | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 77,322 | 38,731 |
Attendance PCT | 94.30% | 94.47% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2831 - 94.35% | 70,555$ | 2,892,767$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
175,282$ | 73,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 75,292$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 1,048$ | 0$ |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 82 | 44 | 23 | 0 | 2 | 6 | 4 | 3 | 278 | 176 | 102 | 41 | 21 | 13 | 0 | 2 | 2 | 1 | 2 | 132 | 87 | 45 | 41 | 23 | 10 | 0 | 0 | 4 | 3 | 1 | 146 | 89 | 57 | 109 | 278 | 446 | 724 | 0 | 10 | 0 | 108 | 91 | 73 | 2493 | 0 | 828 | 802 | 838 | 2069 | 556 | 1121 | 1657 | 498 | 88 | 17.67% | 433 | 67 | 84.53% | 8 | 1425 | 2538 | 56.15% | 1282 | 2504 | 51.20% | 636 | 1182 | 53.81% | 2234 | 1673 | 1832 | 545 | 909 | 462 |
13 | 76 | 39 | 24 | 0 | 2 | 6 | 1 | 4 | 202 | 151 | 51 | 38 | 20 | 14 | 0 | 1 | 2 | 0 | 1 | 93 | 69 | 24 | 38 | 19 | 10 | 0 | 1 | 4 | 1 | 3 | 109 | 82 | 27 | 94 | 202 | 358 | 560 | 0 | 10 | 0 | 74 | 73 | 52 | 1969 | 0 | 632 | 696 | 625 | 1707 | 551 | 1330 | 1499 | 458 | 74 | 16.16% | 532 | 67 | 87.41% | 3 | 1341 | 2379 | 56.37% | 1162 | 2351 | 49.43% | 613 | 1068 | 57.40% | 1912 | 1329 | 1783 | 553 | 907 | 461 |
14 | 76 | 33 | 25 | 0 | 5 | 5 | 4 | 4 | 199 | 155 | 44 | 38 | 13 | 12 | 0 | 3 | 4 | 3 | 3 | 101 | 80 | 21 | 38 | 20 | 13 | 0 | 2 | 1 | 1 | 1 | 98 | 75 | 23 | 93 | 199 | 319 | 518 | 1 | 14 | 0 | 72 | 61 | 57 | 2110 | 0 | 685 | 715 | 681 | 2111 | 623 | 892 | 1267 | 358 | 55 | 15.36% | 337 | 39 | 88.43% | 1 | 1110 | 2273 | 48.83% | 1093 | 2535 | 43.12% | 508 | 1012 | 50.20% | 1812 | 1320 | 1943 | 525 | 863 | 412 |
15 | 82 | 40 | 31 | 0 | 2 | 2 | 3 | 4 | 252 | 195 | 57 | 41 | 18 | 19 | 0 | 1 | 1 | 1 | 1 | 127 | 100 | 27 | 41 | 22 | 12 | 0 | 1 | 1 | 2 | 3 | 125 | 95 | 30 | 96 | 252 | 460 | 712 | 3 | 9 | 0 | 97 | 92 | 58 | 2457 | 0 | 782 | 853 | 804 | 2181 | 647 | 1044 | 1576 | 425 | 74 | 17.41% | 433 | 68 | 84.30% | 4 | 1223 | 2578 | 47.44% | 1029 | 2546 | 40.42% | 549 | 1215 | 45.19% | 2084 | 1508 | 1922 | 559 | 955 | 482 |
16 | 82 | 16 | 57 | 0 | 1 | 3 | 1 | 4 | 249 | 395 | -146 | 41 | 9 | 28 | 0 | 0 | 1 | 1 | 2 | 127 | 198 | -71 | 41 | 7 | 29 | 0 | 1 | 2 | 0 | 2 | 122 | 197 | -75 | 43 | 249 | 408 | 657 | 2 | 0 | 100 | 79 | 68 | 6 | 2454 | 792 | 845 | 800 | 35 | 2766 | 832 | 1063 | 1719 | 382 | 56 | 14.66% | 449 | 131 | 70.82% | 4 | 907 | 2477 | 36.62% | 852 | 2353 | 36.21% | 532 | 1354 | 39.29% | 1834 | 1315 | 2227 | 556 | 891 | 418 |
Total Regular Season | 398 | 172 | 160 | 0 | 12 | 22 | 13 | 19 | 1180 | 1072 | 108 | 199 | 81 | 86 | 0 | 7 | 10 | 6 | 9 | 580 | 534 | 46 | 199 | 91 | 74 | 0 | 5 | 12 | 7 | 10 | 600 | 538 | 62 | 435 | 1180 | 1991 | 3171 | 6 | 43 | 100 | 430 | 385 | 246 | 11483 | 792 | 3772 | 3866 | 2983 | 10834 | 3209 | 5450 | 7718 | 2121 | 347 | 16.36% | 2184 | 372 | 82.97% | 20 | 6006 | 12245 | 49.05% | 5418 | 12289 | 44.09% | 2838 | 5831 | 48.67% | 9878 | 7147 | 9709 | 2739 | 4527 | 2237 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 13 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 49 | 0 | 15 | 13 | 21 | 111 | 29 | 56 | 85 | 21 | 2 | 9.52% | 27 | 4 | 85.19% | 0 | 47 | 89 | 52.81% | 69 | 152 | 45.39% | 32 | 51 | 62.75% | 88 | 60 | 107 | 30 | 47 | 23 |
Total Playoff | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 13 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 49 | 0 | 15 | 13 | 21 | 111 | 29 | 56 | 85 | 21 | 2 | 9.52% | 27 | 4 | 85.19% | 0 | 47 | 89 | 52.81% | 69 | 152 | 45.39% | 32 | 51 | 62.75% | 88 | 60 | 107 | 30 | 47 | 23 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator