Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rem Pitlick | 63 | C | 99.00 | 65 | 44 | 78 | 66 | 73 | 66 | 70 | 63 | 66 | 71 | 64 | 62 | 69 | 58 | 58 | 0 | 50 | 68 | 26 | 1,100,000$/2yrs | |||
Yegor Chinakhov | 88 | RW | 98.00 | 69 | 42 | 84 | 67 | 76 | 65 | 67 | 61 | 53 | 71 | 62 | 65 | 67 | 57 | 57 | 0 | 50 | 68 | 23 | 1,325,000$/2yrs | |||
Kiefer Sherwood | 42 | LW | 99.00 | 65 | 62 | 69 | 64 | 68 | 65 | 62 | 62 | 55 | 63 | 64 | 65 | 56 | 63 | 59 | 0 | 50 | 67 | 28 | 750,000$/2yrs | |||
Ben Meyers (A) | 0 | C | 99.00 | 64 | 45 | 81 | 61 | 73 | 61 | 60 | 56 | 68 | 62 | 58 | 65 | 54 | 57 | 57 | 0 | 50 | 64 | 25 | 750,000$/2yrs | |||
Henrik Borgstrom | 27 | C/LW | 100.00 | 58 | 52 | 73 | 62 | 68 | 64 | 64 | 57 | 57 | 59 | 58 | 64 | 56 | 61 | 57 | 0 | 50 | 63 | 26 | 750,000$/1yrs | |||
Matt Luff | 0 | RW | 100.00 | 57 | 53 | 75 | 58 | 68 | 59 | 58 | 57 | 54 | 61 | 59 | 63 | 54 | 60 | 57 | 0 | 50 | 63 | 26 | 750,000$/2yrs | |||
Tyson Foerster (A) | 0 | RW | 100.00 | 56 | 58 | 65 | 60 | 65 | 64 | 61 | 60 | 55 | 60 | 61 | 61 | 55 | 53 | 52 | 0 | 50 | 63 | 22 | 863,333$/3yrs | |||
Nathan Smith | 24 | C | 100.00 | 61 | 52 | 70 | 61 | 65 | 67 | 62 | 57 | 57 | 61 | 60 | 59 | 56 | 58 | 57 | 0 | 50 | 63 | 25 | 1,360,000$/2yrs | |||
Mikhail Maltsev | 65 | LW | 100.00 | 55 | 54 | 69 | 58 | 67 | 61 | 60 | 58 | 64 | 57 | 58 | 62 | 55 | 60 | 56 | 0 | 50 | 62 | 26 | 800,000$/2yrs | |||
Riley Damiani | 72 | C | 100.00 | 55 | 57 | 66 | 59 | 56 | 65 | 64 | 59 | 70 | 57 | 59 | 58 | 54 | 56 | 54 | 0 | 50 | 62 | 24 | 891,667$/2yrs | |||
Jan Jenik | 0 | RW | 100.00 | 57 | 54 | 63 | 59 | 62 | 61 | 60 | 58 | 60 | 58 | 57 | 60 | 55 | 56 | 54 | 0 | 50 | 61 | 23 | 902,500$/2yrs | |||
Sampo Ranta | 93 | LW | 100.00 | 56 | 54 | 67 | 59 | 65 | 64 | 62 | 57 | 55 | 56 | 57 | 59 | 54 | 56 | 54 | 0 | 50 | 61 | 23 | 1,208,333$/1yrs | |||
Ronnie Attard | 0 | D | 100.00 | 56 | 53 | 70 | 60 | 71 | 69 | 63 | 59 | 40 | 61 | 59 | 67 | 54 | 58 | 56 | 0 | 50 | 65 | 25 | 1,350,000$/3yrs | |||
Gustav Olofsson | 5 | D | 100.00 | 56 | 53 | 68 | 56 | 68 | 60 | 58 | 54 | 40 | 55 | 54 | 63 | 54 | 66 | 60 | 0 | 50 | 61 | 29 | 750,000$/3yrs | |||
Jared McIsaac | 9 | D | 99.00 | 55 | 54 | 66 | 59 | 63 | 66 | 64 | 58 | 40 | 58 | 55 | 58 | 54 | 56 | 54 | 0 | 50 | 61 | 24 | 896,667$/2yrs | |||
Markus Nutivaara | 6 | D | 100.00 | 64 | 38 | 80 | 48 | 65 | 61 | 61 | 60 | 38 | 58 | 50 | 63 | 51 | 60 | 55 | 0 | 50 | 61 | 29 | 1,750,000$/1yrs | |||
Hunter Skinner | 7 | D | 100.00 | 55 | 54 | 66 | 56 | 63 | 59 | 59 | 55 | 40 | 56 | 54 | 61 | 54 | 55 | 53 | 0 | 50 | 60 | 22 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Nic Petan | 16 | C | 70.18 | 56 | 56 | 67 | 61 | 59 | 64 | 61 | 62 | 68 | 62 | 61 | 64 | 60 | 65 | 59 | 0 | 50 | 64 | 29 | 762,500$/2yrs | |||
Adam Sykora (R) | 0 | C | 100.00 | 51 | 51 | 65 | 51 | 54 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 48 | 48 | 0 | 50 | 55 | 19 | 950,000$/4yrs | |||
Simon Nemec (R) (C) | 0 | D | 100.00 | 52 | 52 | 64 | 58 | 60 | 64 | 61 | 57 | 38 | 55 | 56 | 60 | 51 | 48 | 48 | 0 | 50 | 60 | 20 | 4,168,333$/4yrs | |||
Simon Johansson (R) | 0 | D | 100.00 | 52 | 51 | 63 | 55 | 56 | 63 | 61 | 53 | 38 | 53 | 52 | 56 | 51 | 56 | 52 | 0 | 50 | 58 | 24 | 925,000$/1yrs | |||
Mason Millman | 11 | D | 100.00 | 54 | 54 | 68 | 54 | 60 | 55 | 55 | 54 | 40 | 54 | 54 | 60 | 54 | 55 | 53 | 0 | 50 | 58 | 22 | 870,000$/2yrs |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daniil Tarasov | 33 | 100.00 | 57 | 60 | 61 | 81 | 68 | 61 | 70 | 61 | 67 | 64 | 72 | 57 | 55 | 0 | 50 | 65 | 25 | 1,050,000$/3yrs |
Samuel Ersson | 36 | 99.00 | 62 | 62 | 63 | 68 | 70 | 59 | 68 | 63 | 63 | 62 | 60 | 58 | 54 | 0 | 50 | 65 | 24 | 925,000$/4yrs |
Scratches | ||||||||||||||||||||
Cory Schneider | 32 | 100.00 | 61 | 63 | 63 | 69 | 66 | 57 | 67 | 64 | 60 | 59 | 58 | 85 | 70 | 0 | 50 | 65 | 38 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Guy Carbonneau | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 59 | 5 | 0$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kiefer Sherwood | Wolves (CAR) | LW | 66 | 25 | 31 | 56 | 5 | 54 | 10 | 131 | 244 | 73 | 183 | 10.25% | 22 | 18.37 | 3 | 6 | 9 | 0 | 0 | 0 | 106 | 2 | 2 | 44.91% | 0 | 0 | 0.85 | 0 | 1 | 0.86 | |||
2 | Ben Meyers | Wolves (CAR) | C | 70 | 16 | 38 | 54 | 19 | 22 | 0 | 114 | 190 | 67 | 148 | 8.42% | 25 | 21.86 | 4 | 9 | 13 | 0 | 0 | 0 | 179 | 4 | 1 | 52.52% | 0 | 0 | 0.77 | 1 | 1 | 0.84 | |||
3 | Henrik Borgstrom | Wolves (CAR) | C/LW | 70 | 18 | 35 | 53 | 19 | 10 | 0 | 101 | 209 | 48 | 171 | 8.61% | 18 | 19.32 | 3 | 12 | 15 | 0 | 0 | 0 | 82 | 3 | 2 | 51.22% | 0 | 0 | 0.76 | 0 | 0 | 0.89 | |||
4 | Ronnie Attard | Wolves (CAR) | D | 68 | 16 | 37 | 53 | -5 | 56 | 0 | 132 | 149 | 51 | 113 | 10.74% | 101 | 21.76 | 11 | 11 | 22 | 0 | 0 | 0 | 176 | 2 | 2 | 0.00% | 0 | 0 | 0.78 | 0 | 0 | 0.67 | |||
5 | Nic Petan | Wolves (CAR) | C | 70 | 23 | 28 | 51 | -2 | 17 | 5 | 86 | 224 | 63 | 150 | 10.27% | 15 | 16.41 | 1 | 5 | 6 | 0 | 0 | 0 | 54 | 5 | 1 | 51.97% | 0 | 1 | 0.73 | 1 | 1 | 0.76 | |||
6 | Yegor Chinakhov | Wolves (CAR) | RW | 46 | 14 | 32 | 46 | 0 | 10 | 0 | 69 | 168 | 37 | 106 | 8.33% | 15 | 19.41 | 4 | 4 | 8 | 0 | 2 | 2 | 117 | 0 | 0 | 46.84% | 0 | 0 | 1.00 | 0 | 0 | 1.00 | |||
7 | Rem Pitlick | Wolves (CAR) | C | 39 | 20 | 25 | 45 | 6 | 12 | 0 | 49 | 128 | 42 | 102 | 15.63% | 9 | 19.86 | 3 | 7 | 10 | 0 | 1 | 1 | 67 | 4 | 0 | 51.15% | 0 | 1 | 1.15 | 1 | 1 | 1.11 | |||
8 | Markus Nutivaara | Wolves (CAR) | D | 60 | 7 | 33 | 40 | 23 | 36 | 0 | 88 | 60 | 24 | 51 | 11.67% | 84 | 22.30 | 0 | 1 | 1 | 1 | 0 | 1 | 146 | 0 | 1 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.66 | |||
9 | Jared McIsaac | Wolves (CAR) | D | 68 | 9 | 26 | 35 | 18 | 42 | 0 | 116 | 74 | 26 | 69 | 12.16% | 70 | 20.79 | 5 | 5 | 10 | 0 | 1 | 1 | 129 | 1 | 0 | 0.00% | 1 | 0 | 0.51 | 0 | 0 | 0.52 | |||
10 | Matt Luff | Wolves (CAR) | RW | 59 | 9 | 25 | 34 | 5 | 10 | 0 | 51 | 128 | 30 | 110 | 7.03% | 17 | 15.60 | 0 | 2 | 2 | 0 | 0 | 0 | 23 | 1 | 0 | 46.51% | 0 | 0 | 0.58 | 0 | 0 | 0.61 | |||
11 | Simon Nemec | Wolves (CAR) | D | 64 | 9 | 24 | 33 | 2 | 37 | 5 | 96 | 62 | 18 | 41 | 14.52% | 93 | 19.41 | 4 | 4 | 8 | 0 | 1 | 1 | 154 | 1 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.45 | |||
12 | Tyson Foerster | Wolves (CAR) | RW | 58 | 13 | 18 | 31 | 2 | 15 | 5 | 58 | 122 | 36 | 87 | 10.66% | 11 | 10.95 | 0 | 5 | 5 | 0 | 0 | 0 | 3 | 2 | 0 | 47.84% | 0 | 0 | 0.53 | 1 | 1 | 0.56 | |||
13 | Gustav Olofsson | Wolves (CAR) | D | 70 | 10 | 16 | 26 | 4 | 52 | 0 | 114 | 88 | 28 | 57 | 11.36% | 92 | 21.62 | 5 | 3 | 8 | 0 | 0 | 0 | 171 | 3 | 0 | 100.00% | 0 | 0 | 0.37 | 0 | 0 | 0.35 | |||
14 | Nathan Smith | Wolves (CAR) | C | 69 | 10 | 16 | 26 | 2 | 26 | 0 | 66 | 97 | 21 | 65 | 10.31% | 26 | 12.98 | 1 | 1 | 2 | 1 | 0 | 1 | 20 | 1 | 2 | 44.30% | 0 | 0 | 0.38 | 0 | 1 | 0.35 | |||
15 | Jan Jenik | Wolves (CAR) | RW | 51 | 6 | 13 | 19 | 4 | 18 | 0 | 78 | 86 | 20 | 68 | 6.98% | 4 | 14.16 | 1 | 6 | 7 | 0 | 0 | 0 | 21 | 2 | 0 | 50.36% | 0 | 0 | 0.37 | 0 | 0 | 0.41 | |||
16 | Hunter Skinner | Wolves (CAR) | D | 58 | 3 | 14 | 17 | 3 | 58 | 0 | 83 | 34 | 12 | 20 | 8.82% | 68 | 16.98 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0 | 1 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.17 | |||
17 | Simon Johansson | Wolves (CAR) | D | 37 | 2 | 12 | 14 | 21 | 42 | 0 | 59 | 22 | 12 | 20 | 9.09% | 30 | 18.14 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.39 | |||
18 | Riley Damiani | Wolves (CAR) | C | 43 | 6 | 8 | 14 | 3 | 8 | 0 | 26 | 49 | 13 | 24 | 12.24% | 3 | 7.98 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | 0.33 | |||
19 | Mikhail Maltsev | Wolves (CAR) | LW | 56 | 2 | 3 | 5 | -5 | 8 | 0 | 8 | 39 | 4 | 21 | 5.13% | 5 | 3.20 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 71.43% | 0 | 0 | 0.09 | 0 | 0 | 0.07 | |||
20 | Mason Millman | Wolves (CAR) | D | 12 | 0 | 3 | 3 | 6 | 8 | 0 | 22 | 7 | 3 | 4 | 0.00% | 7 | 16.88 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.34 | |||
21 | Sampo Ranta | Wolves (CAR) | LW | 28 | 2 | 0 | 2 | 1 | 0 | 0 | 8 | 11 | 1 | 6 | 18.18% | 3 | 2.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.07 | 0 | 0 | 0.11 | |||
Team Total or Average | 1162 | 220 | 437 | 657 | 131 | 541 | 25 | 1555 | 2191 | 629 | 1616 | 10.04% | 718 | 16.81 | 45 | 81 | 126 | 2246 | 2 | 5 | 7 | 1594 | 33 | 12 | 50.48% | 4859 | 0 | 0 | 1 | 2 | 0.67 | 4 | 6 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Samuel Ersson | Wolves (CAR) | 58 | 28 | 22 | 5 | 0.900 | 3.42 | 3249 | 6 | 0 | 185 | 1857 | 0 | 0 | 0 | 0.333 | 3 | 55 | 9 | 4 | 2 | 1 |
2 | Daniil Tarasov | Wolves (CAR) | 19 | 10 | 2 | 1 | 0.908 | 2.95 | 894 | 4 | 0 | 44 | 480 | 0 | 1 | 0 | 0.500 | 4 | 13 | 53 | 1 | 0 | 0 |
3 | Cory Schneider | Wolves (CAR) | 2 | 1 | 0 | 1 | 0.956 | 1.40 | 86 | 0 | 0 | 2 | 45 | 0 | 0 | 0 | 0.000 | 0 | 2 | 8 | 0 | 0 | 0 |
Team Total or Average | 79 | 39 | 24 | 7 | 0.903 | 3.28 | 4229 | 10 | 0 | 231 | 2382 | 0 | 1 | 0 | 0.429 | 7 | 70 | 70 | 5 | 2 | 1 |
Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Sykora | C | 19 | 950,000$ | 950,000$ | 918,333$ | 918,333$ | 918,333$ | RFA | |||
Ben Meyers | C | 25 | 750,000$ | 1,031,250$ | 775,000$ | RFA | |||||
Cory Schneider | G | 38 | 750,000$ | 750,000$ | UFA | ||||||
Daniil Tarasov | G | 25 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Gustav Olofsson | D | 29 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Henrik Borgstrom | C/LW | 26 | 750,000$ | 750,000$ | RFA | ||||||
Hunter Skinner | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jan Jenik | RW | 23 | 902,500$ | 902,500$ | 775,000$ | RFA | |||||
Jared McIsaac | D | 24 | 896,667$ | 896,667$ | 787,500$ | RFA | |||||
Kiefer Sherwood | LW | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Markus Nutivaara | D | 29 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Mason Millman | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Matt Luff | RW | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Mikhail Maltsev | LW | 26 | 800,000$ | 800,000$ | 775,000$ | UFA | |||||
Nathan Smith | C | 25 | 1,360,000$ | 1,360,000$ | 775,000$ | RFA | |||||
Nic Petan | C | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Rem Pitlick | C | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Riley Damiani | C | 24 | 891,667$ | 891,667$ | 775,000$ | RFA | |||||
Ronnie Attard | D | 25 | 1,350,000$ | 1,350,000$ | 850,000$ | 850,000$ | UFA | ||||
Sampo Ranta | LW | 23 | 1,208,333$ | 1,208,333$ | RFA | ||||||
Samuel Ersson | G | 24 | 925,000$ | 925,000$ | 925,000$ | 1,450,000$ | 1,450,000$ | UFA | |||
Simon Johansson | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Simon Nemec | D | 20 | 4,168,333$ | 4,168,333$ | 4,168,333$ | 4,168,333$ | 4,168,333$ | RFA | |||
Tyson Foerster | RW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Yegor Chinakhov | RW | 23 | 1,325,000$ | 1,325,000$ | 880,000$ | RFA |
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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 |
# | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 98 | 90 | 69 | 11 | 77 | 798 | 811 | 833 | 28 | 75 | 13 | 14 | 49 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 1 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 71.4% | 7.8% | 96.0% | 103.8 | DULL |
2 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 98 | 90 | 69 | 11 | 79 | 798 | 811 | 833 | 28 | 77 | 18 | 16 | 45 | 7 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 75.0% | 11.4% | 90.9% | 102.3 | FUN |
3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.500 | 8 | 10 | 18 | 0 | 0 | 98 | 90 | 69 | 11 | 66 | 798 | 811 | 833 | 28 | 59 | 13 | 12 | 39 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 47.1% | 12.1% | 83.1% | 95.2 | FUN |
4 | Binghamton Senateurs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 98 | 90 | 69 | 11 | 30 | 798 | 811 | 833 | 28 | 29 | 14 | 10 | 31 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 40.0% | 6.7% | 89.7% | 96.3 | Unlucky |
5 | Bears | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 14 | 2 | 4 | 0.667 | 16 | 26 | 42 | 0 | 0 | 98 | 90 | 69 | 11 | 100 | 798 | 811 | 833 | 28 | 110 | 22 | 22 | 61 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 56.0% | 16.0% | 87.3% | 103.3 | FUN |
6 | Rockets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 98 | 90 | 69 | 11 | 64 | 798 | 811 | 833 | 28 | 67 | 33 | 17 | 56 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 25.0% | 4.7% | 85.1% | 89.8 | Unlucky |
7 | Providence Bruins | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 10 | 10 | 0 | 3 | 0.750 | 10 | 17 | 27 | 0 | 0 | 98 | 90 | 69 | 11 | 93 | 798 | 811 | 833 | 28 | 65 | 17 | 18 | 50 | 10 | 2 | 20.00% | 7 | 3 | 57.14% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 53.3% | 10.8% | 84.6% | 95.4 | FUN |
8 | Eagles | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 98 | 90 | 69 | 11 | 59 | 798 | 811 | 833 | 28 | 61 | 19 | 16 | 38 | 9 | 2 | 22.22% | 8 | 3 | 62.50% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 75.0% | 8.5% | 93.4% | 101.9 | DULL |
9 | Phantoms | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 9 | 13 | -4 | 3 | 0.375 | 9 | 17 | 26 | 0 | 0 | 98 | 90 | 69 | 11 | 113 | 798 | 811 | 833 | 28 | 136 | 43 | 46 | 73 | 12 | 1 | 8.33% | 20 | 2 | 90.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 42.1% | 8.0% | 90.4% | 98.4 | Unlucky |
10 | Wolf Pack | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 11 | 13 | -2 | 4 | 0.500 | 11 | 17 | 28 | 0 | 0 | 98 | 90 | 69 | 11 | 146 | 798 | 811 | 833 | 28 | 111 | 43 | 28 | 84 | 17 | 2 | 11.76% | 13 | 2 | 84.62% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 45.0% | 7.5% | 88.3% | 95.8 | Unlucky |
11 | islanders | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 12 | 0 | 3 | 0.500 | 12 | 20 | 32 | 0 | 0 | 98 | 90 | 69 | 11 | 113 | 798 | 811 | 833 | 28 | 127 | 32 | 24 | 82 | 8 | 2 | 25.00% | 12 | 1 | 91.67% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 47.6% | 10.6% | 90.6% | 101.2 | FUN |
12 | IceHogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 98 | 90 | 69 | 11 | 73 | 798 | 811 | 833 | 28 | 65 | 24 | 14 | 61 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 73.3% | 16.4% | 92.3% | 108.7 | LUCKY |
13 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 98 | 90 | 69 | 11 | 51 | 798 | 811 | 833 | 28 | 32 | 10 | 6 | 29 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 66.7% | 11.8% | 90.6% | 102.4 | FUN |
14 | Monsters | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 98 | 90 | 69 | 11 | 93 | 798 | 811 | 833 | 28 | 120 | 26 | 28 | 81 | 4 | 1 | 25.00% | 11 | 2 | 81.82% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 57.9% | 12.9% | 91.7% | 104.6 | LUCKY |
15 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 98 | 90 | 69 | 11 | 72 | 798 | 811 | 833 | 28 | 75 | 28 | 21 | 53 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 87.5% | 11.1% | 96.0% | 107.1 | LUCKY |
16 | Condors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 98 | 90 | 69 | 11 | 80 | 798 | 811 | 833 | 28 | 75 | 15 | 14 | 49 | 12 | 5 | 41.67% | 7 | 2 | 71.43% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 50.0% | 12.5% | 90.7% | 103.2 | FUN |
17 | Iowa Wild | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 98 | 90 | 69 | 11 | 57 | 798 | 811 | 833 | 28 | 57 | 16 | 12 | 36 | 12 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 50.0% | 8.8% | 86.0% | 94.7 | Unlucky |
18 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 2 | 0.500 | 11 | 20 | 31 | 0 | 0 | 98 | 90 | 69 | 11 | 73 | 798 | 811 | 833 | 28 | 76 | 20 | 18 | 52 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 60.0% | 15.1% | 90.8% | 105.9 | FUN |
19 | Thunderbirds | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 98 | 90 | 69 | 11 | 56 | 798 | 811 | 833 | 28 | 79 | 22 | 35 | 46 | 5 | 2 | 40.00% | 14 | 2 | 85.71% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 50.0% | 14.3% | 89.9% | 104.2 | FUN |
20 | Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 98 | 90 | 69 | 11 | 54 | 798 | 811 | 833 | 28 | 49 | 17 | 12 | 39 | 11 | 1 | 9.09% | 5 | 2 | 60.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 45.5% | 11.1% | 83.7% | 94.8 | FUN |
21 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 98 | 90 | 69 | 11 | 88 | 798 | 811 | 833 | 28 | 66 | 24 | 12 | 53 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 44.4% | 6.8% | 90.9% | 97.7 | Unlucky |
22 | Texas Stars | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 98 | 90 | 69 | 11 | 52 | 798 | 811 | 833 | 28 | 61 | 20 | 10 | 47 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 50.0% | 5.8% | 95.1% | 100.9 | DULL |
23 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 98 | 90 | 69 | 11 | 72 | 798 | 811 | 833 | 28 | 52 | 15 | 12 | 50 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 80.0% | 11.1% | 94.2% | 105.3 | LUCKY |
24 | Comets | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 12 | 9 | 3 | 6 | 0.750 | 12 | 21 | 33 | 0 | 0 | 98 | 90 | 69 | 11 | 146 | 798 | 811 | 833 | 28 | 116 | 30 | 34 | 91 | 14 | 2 | 14.29% | 14 | 1 | 92.86% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 55.6% | 8.2% | 92.2% | 100.5 | DULL |
25 | W-B/Scranton Penguins | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 9 | 11 | 8 | 1.000 | 20 | 33 | 53 | 0 | 0 | 98 | 90 | 69 | 11 | 131 | 798 | 811 | 833 | 28 | 145 | 35 | 38 | 103 | 18 | 2 | 11.11% | 17 | 2 | 88.24% | 1 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 72.0% | 15.3% | 93.8% | 109.1 | LUCKY |
26 | Roadrunners | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 98 | 90 | 69 | 11 | 75 | 798 | 811 | 833 | 28 | 84 | 19 | 19 | 45 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 58.8% | 16.0% | 90.5% | 106.5 | FUN |
27 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 98 | 90 | 69 | 11 | 68 | 798 | 811 | 833 | 28 | 76 | 27 | 17 | 46 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 1 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 33.3% | 10.3% | 85.5% | 95.8 | FUN |
28 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 98 | 90 | 69 | 11 | 32 | 798 | 811 | 833 | 28 | 35 | 11 | 2 | 33 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 36.4% | 12.5% | 80.0% | 92.5 | FUN |
29 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 98 | 90 | 69 | 11 | 79 | 798 | 811 | 833 | 28 | 62 | 18 | 16 | 43 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 66.7% | 8.9% | 93.5% | 102.4 | Unlucky |
30 | Silver Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 98 | 90 | 69 | 11 | 96 | 798 | 811 | 833 | 28 | 78 | 26 | 12 | 44 | 16 | 4 | 25.00% | 6 | 2 | 66.67% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 54.5% | 10.4% | 91.0% | 101.4 | FUN |
31 | Firebirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 98 | 90 | 69 | 11 | 75 | 798 | 811 | 833 | 28 | 62 | 21 | 16 | 38 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 0 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 50.0% | 9.3% | 88.7% | 98.0 | FUN |
_Vs Division | 25 | 10 | 7 | 0 | 4 | 3 | 0 | 1 | 92 | 80 | 12 | 32 | 0.640 | 92 | 156 | 248 | 0 | 0 | 98 | 90 | 69 | 11 | 842 | 798 | 811 | 833 | 28 | 865 | 231 | 220 | 575 | 82 | 12 | 14.63% | 98 | 13 | 86.73% | 1 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 54.4% | 10.9% | 90.8% | 101.7 | FUN | |
_Vs Conference | 39 | 15 | 14 | 0 | 4 | 4 | 1 | 1 | 143 | 137 | 6 | 45 | 0.577 | 143 | 242 | 385 | 0 | 0 | 98 | 90 | 69 | 11 | 1370 | 798 | 811 | 833 | 28 | 1345 | 376 | 330 | 920 | 131 | 17 | 12.98% | 143 | 24 | 83.22% | 4 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 52.7% | 10.4% | 89.8% | 100.3 | FUN | |
_Since Last GM Reset | 70 | 31 | 24 | 0 | 7 | 6 | 1 | 1 | 265 | 232 | 33 | 85 | 0.607 | 265 | 462 | 727 | 0 | 0 | 98 | 90 | 69 | 11 | 2463 | 798 | 811 | 833 | 28 | 2382 | 691 | 571 | 1647 | 268 | 42 | 15.67% | 244 | 48 | 80.33% | 4 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 54.8% | 10.8% | 90.3% | 101.0 | FUN | |
Total | 70 | 31 | 24 | 0 | 7 | 6 | 1 | 1 | 265 | 232 | 33 | 85 | 0.607 | 265 | 462 | 727 | 0 | 0 | 98 | 90 | 69 | 11 | 2463 | 798 | 811 | 833 | 28 | 2382 | 691 | 571 | 1647 | 268 | 42 | 15.67% | 244 | 48 | 80.33% | 4 | 1281 | 2534 | 50.55% | 1242 | 2520 | 49.29% | 612 | 1201 | 50.96% | 1610 | 1066 | 1677 | 564 | 949 | 467 | 54.8% | 10.8% | 90.3% | 101.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2534 |
Neutral Zone Start | 1201 |
Defensive Zone Start | 2520 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3135 |
Faceoffs Lost | 3120 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.4 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 34.9 | 30.68 |
Overtime | 35.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 219 |
---|---|
PP Goal | 42 |
PK Goal | 4 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 19 |
Lost | 11 | 13 |
Overtime Lost | 4 | 3 |
PP Attempt | 268 |
---|---|
PP Goal | 42 |
PK Attempt | 244 |
PK Goal Against | 48 |
Home | |
---|---|
Shots For | 35.2 |
Shots Against | 34.0 |
Goals For | 3.8 |
Goals Against | 3.3 |
Hits | 23.5 |
Shots Blocked | 9.9 |
Pim | 8.2 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,780,458$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Chicago | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 18$ | $ | $ | $ |
Attendance | 50716 | 25999 | |||
Attendance PCT | 72.45% | 74.28% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 2192 - 73.06% | 95,489$ | 3,342,130$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,780,458$ | 2,752,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,570,013$ | 0$ | 2,547,853$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
572,937$ | 21 | 14,711$ | 308,931$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
308,931$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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