***Bonne chance pour le reste de saison***
Last update: 2024-04-18 05:45:30
| 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 | 27 | 1,100,000$/2yrs | |||
Yegor Chinakhov | 88 | RW | 99.00 | 69 | 42 | 84 | 67 | 76 | 65 | 67 | 61 | 53 | 71 | 62 | 65 | 67 | 57 | 57 | 0 | 50 | 68 | 23 | 1,325,000$/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 | |||
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 | |||
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 | |||
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$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Kiefer Sherwood | 42 | LW | 99.00 | 65 | 62 | 69 | 64 | 68 | 65 | 62 | 62 | 55 | 63 | 64 | 65 | 56 | 63 | 59 | 0 | 50 | 67 | 29 | 750,000$/2yrs | |||
Nic Petan | 16 | C | 100.00 | 56 | 56 | 67 | 61 | 59 | 64 | 61 | 62 | 68 | 62 | 61 | 64 | 60 | 65 | 59 | 0 | 50 | 64 | 29 | 762,500$/2yrs | |||
Matt Luff | 0 | RW | 100.00 | 57 | 53 | 75 | 58 | 68 | 59 | 58 | 57 | 54 | 61 | 59 | 63 | 54 | 60 | 57 | 0 | 50 | 63 | 26 | 750,000$/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 | |||
Ronnie Attard | 0 | D | 99.00 | 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$/2yrs | |||
Simon Johansson (R) | 0 | D | 100.00 | 52 | 51 | 63 | 55 | 56 | 63 | 61 | 53 | 38 | 53 | 52 | 56 | 51 | 56 | 52 | 0 | 50 | 58 | 24 | 925,000$/1yrs | |||
| 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 | 99.00 | 57 | 60 | 61 | 81 | 68 | 61 | 70 | 61 | 67 | 64 | 72 | 57 | 55 | 0 | 50 | 65 | 25 | 1,050,000$/3yrs |
Samuel Ersson | 36 | 100.00 | 62 | 62 | 63 | 68 | 70 | 59 | 68 | 63 | 63 | 62 | 60 | 58 | 54 | 0 | 50 | 65 | 24 | 925,000$/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 |
|---|
| 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 | 78 | 30 | 36 | 66 | 2 | 62 | 10 | 158 | 292 | 89 | 214 | 10.27% | 26 | 18.64 | 5 | 9 | 14 | 0 | 0 | 0 | 136 | 2 | 2 | 42.56% | 0 | 0 | 0.85 | 1 | 3 | 0.85 | |||
| 2 | Ronnie Attard | Wolves (CAR) | D | 80 | 19 | 45 | 64 | -4 | 60 | 0 | 155 | 179 | 58 | 125 | 10.61% | 118 | 22.08 | 11 | 14 | 25 | 0 | 0 | 0 | 209 | 2 | 2 | 0.00% | 1 | 0 | 0.80 | 0 | 0 | 0.70 | |||
| 3 | Ben Meyers | Wolves (CAR) | C | 82 | 21 | 40 | 61 | 20 | 34 | 0 | 133 | 229 | 73 | 173 | 9.17% | 31 | 21.64 | 5 | 9 | 14 | 0 | 0 | 0 | 206 | 4 | 3 | 52.26% | 0 | 1 | 0.74 | 1 | 1 | 0.81 | |||
| 4 | Henrik Borgstrom | Wolves (CAR) | C/LW | 82 | 18 | 40 | 58 | 20 | 10 | 0 | 117 | 235 | 59 | 195 | 7.66% | 18 | 19.02 | 3 | 13 | 16 | 0 | 0 | 0 | 89 | 3 | 2 | 50.84% | 0 | 0 | 0.71 | 0 | 0 | 0.84 | |||
| 5 | Rem Pitlick | Wolves (CAR) | C | 51 | 26 | 32 | 58 | 4 | 18 | 0 | 74 | 190 | 51 | 133 | 13.68% | 11 | 19.99 | 6 | 8 | 14 | 0 | 1 | 1 | 98 | 4 | 0 | 50.63% | 0 | 1 | 1.14 | 2 | 3 | 1.10 | |||
| 6 | Yegor Chinakhov | Wolves (CAR) | RW | 58 | 14 | 39 | 53 | -4 | 10 | 0 | 87 | 206 | 51 | 136 | 6.80% | 18 | 19.77 | 4 | 6 | 10 | 0 | 2 | 2 | 150 | 0 | 0 | 45.86% | 0 | 0 | 0.91 | 0 | 2 | 0.91 | |||
| 7 | Nic Petan | Wolves (CAR) | C | 75 | 23 | 28 | 51 | -2 | 17 | 5 | 87 | 225 | 63 | 150 | 10.22% | 16 | 15.36 | 1 | 5 | 6 | 0 | 0 | 0 | 54 | 5 | 1 | 51.97% | 0 | 1 | 0.68 | 1 | 1 | 0.71 | |||
| 8 | Markus Nutivaara | Wolves (CAR) | D | 68 | 8 | 34 | 42 | 22 | 42 | 0 | 100 | 72 | 26 | 56 | 11.11% | 98 | 22.19 | 1 | 1 | 2 | 1 | 0 | 1 | 165 | 1 | 1 | 0.00% | 0 | 0 | 0.62 | 0 | 0 | 0.61 | |||
| 9 | Matt Luff | Wolves (CAR) | RW | 71 | 11 | 30 | 41 | -1 | 12 | 0 | 57 | 157 | 46 | 138 | 7.01% | 21 | 15.45 | 0 | 4 | 4 | 0 | 0 | 0 | 32 | 1 | 1 | 47.52% | 0 | 0 | 0.58 | 0 | 0 | 0.59 | |||
| 10 | Simon Nemec | Wolves (CAR) | D | 76 | 9 | 29 | 38 | 5 | 41 | 5 | 109 | 69 | 20 | 48 | 13.04% | 110 | 19.22 | 4 | 4 | 8 | 0 | 1 | 1 | 187 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.45 | |||
| 11 | Jared McIsaac | Wolves (CAR) | D | 80 | 9 | 29 | 38 | 18 | 56 | 0 | 134 | 84 | 31 | 76 | 10.71% | 88 | 20.80 | 5 | 6 | 11 | 0 | 1 | 1 | 154 | 1 | 0 | 0.00% | 1 | 0 | 0.48 | 0 | 0 | 0.46 | |||
| 12 | Tyson Foerster | Wolves (CAR) | RW | 70 | 17 | 21 | 38 | 3 | 24 | 10 | 74 | 150 | 51 | 103 | 11.33% | 13 | 11.54 | 0 | 5 | 5 | 0 | 0 | 0 | 3 | 3 | 0 | 48.66% | 0 | 0 | 0.54 | 1 | 1 | 0.56 | |||
| 13 | Nathan Smith | Wolves (CAR) | C | 81 | 12 | 19 | 31 | -5 | 34 | 0 | 94 | 115 | 25 | 80 | 10.43% | 37 | 13.69 | 1 | 1 | 2 | 1 | 0 | 1 | 20 | 1 | 2 | 45.61% | 0 | 0 | 0.38 | 0 | 1 | 0.33 | |||
| 14 | Gustav Olofsson | Wolves (CAR) | D | 76 | 11 | 17 | 28 | 6 | 58 | 0 | 120 | 94 | 29 | 63 | 11.70% | 103 | 21.33 | 5 | 3 | 8 | 0 | 0 | 0 | 179 | 3 | 0 | 100.00% | 0 | 0 | 0.37 | 0 | 0 | 0.36 | |||
| 15 | Jan Jenik | Wolves (CAR) | RW | 63 | 6 | 16 | 22 | 5 | 20 | 0 | 91 | 100 | 26 | 82 | 6.00% | 5 | 13.09 | 1 | 6 | 7 | 0 | 0 | 0 | 21 | 2 | 0 | 51.03% | 0 | 0 | 0.35 | 0 | 0 | 0.39 | |||
| 16 | Hunter Skinner | Wolves (CAR) | D | 70 | 4 | 17 | 21 | -7 | 66 | 0 | 91 | 45 | 16 | 32 | 8.89% | 87 | 17.27 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0 | 1 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.14 | |||
| 17 | Simon Johansson | Wolves (CAR) | D | 42 | 2 | 12 | 14 | 20 | 42 | 0 | 59 | 22 | 13 | 20 | 9.09% | 30 | 16.34 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.33 | |||
| 18 | Riley Damiani | Wolves (CAR) | C | 55 | 6 | 8 | 14 | -5 | 10 | 0 | 43 | 73 | 21 | 41 | 8.22% | 5 | 9.53 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 0 | 51.21% | 0 | 0 | 0.25 | 0 | 0 | 0.24 | |||
| 19 | Mikhail Maltsev | Wolves (CAR) | LW | 68 | 5 | 4 | 9 | -12 | 18 | 0 | 18 | 62 | 10 | 43 | 8.06% | 8 | 4.74 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 80.00% | 0 | 0 | 0.13 | 0 | 0 | 0.08 | |||
| 20 | Sampo Ranta | Wolves (CAR) | LW | 40 | 4 | 2 | 6 | 2 | 2 | 0 | 17 | 21 | 9 | 24 | 19.05% | 4 | 4.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.75% | 0 | 0 | 0.15 | 0 | 0 | 0.18 | |||
| 21 | 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 | |||
| Team Total or Average | 1378 | 255 | 501 | 756 | 93 | 644 | 30 | 1840 | 2627 | 770 | 1936 | 9.71% | 854 | 16.76 | 52 | 94 | 146 | 2531 | 2 | 5 | 7 | 1873 | 37 | 15 | 50.39% | 5938 | 0 | 0 | 2 | 3 | 0.65 | 6 | 12 |
| 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) | 69 | 33 | 27 | 6 | 0.897 | 3.46 | 3835 | 6 | 0 | 221 | 2156 | 0 | 1 | 1 | 0.667 | 6 | 66 | 10 | 4 | 2 | 1 |
| 2 | Daniil Tarasov | Wolves (CAR) | 22 | 11 | 2 | 1 | 0.909 | 2.99 | 1042 | 4 | 0 | 52 | 570 | 0 | 1 | 0 | 0.714 | 7 | 14 | 64 | 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 | 93 | 45 | 29 | 8 | 0.901 | 3.32 | 4964 | 10 | 0 | 275 | 2771 | 0 | 2 | 1 | 0.692 | 13 | 82 | 82 | 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$ | UFA | |||||
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$ | UFA | ||||||
Hunter Skinner | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jan Jenik | RW | 23 | 902,500$ | 902,500$ | 775,000$ | UFA | |||||
Jared McIsaac | D | 24 | 896,667$ | 896,667$ | 787,500$ | UFA | |||||
Kiefer Sherwood ![]() | LW | 29 | 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$ | UFA | |||||
Nic Petan ![]() | C | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Rem Pitlick ![]() | C | 27 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Riley Damiani | C | 24 | 891,667$ | 891,667$ | 775,000$ | UFA | |||||
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$ | UFA | ||||||
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 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 5 | 4 | 6 | 1.000 | 9 | 15 | 24 | 0 | 0 | 113 | 101 | 77 | 14 | 118 | 954 | 953 | 961 | 44 | 105 | 23 | 26 | 73 | 7 | 1 | 14.29% | 12 | 1 | 91.67% | 1 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 66.7% | 7.6% | 95.2% | 102.9 | DULL |
| 2 | Marlies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0.333 | 11 | 21 | 32 | 1 | 0 | 113 | 101 | 77 | 14 | 100 | 954 | 953 | 961 | 44 | 112 | 35 | 27 | 61 | 10 | 0 | 0.00% | 11 | 5 | 54.55% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 64.7% | 11.0% | 90.2% | 101.2 | FUN |
| 3 | Americans | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 14 | 15 | -1 | 4 | 0.667 | 14 | 18 | 32 | 0 | 0 | 113 | 101 | 77 | 14 | 100 | 954 | 953 | 961 | 44 | 99 | 24 | 20 | 75 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 48.1% | 14.0% | 84.8% | 98.8 | FUN |
| 4 | Binghamton Senateurs | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 113 | 101 | 77 | 14 | 96 | 954 | 953 | 961 | 44 | 89 | 33 | 18 | 81 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 35.7% | 7.3% | 87.6% | 94.9 | Unlucky |
| 5 | Bears | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 14 | 2 | 4 | 0.667 | 16 | 26 | 42 | 0 | 0 | 113 | 101 | 77 | 14 | 100 | 954 | 953 | 961 | 44 | 110 | 22 | 22 | 61 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 56.0% | 16.0% | 87.3% | 103.3 | FUN |
| 6 | Rockets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 113 | 101 | 77 | 14 | 105 | 954 | 953 | 961 | 44 | 102 | 38 | 23 | 74 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 35.3% | 6.7% | 88.2% | 94.9 | Unlucky |
| 7 | Providence Bruins | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 14 | 19 | -5 | 3 | 0.500 | 14 | 24 | 38 | 0 | 0 | 113 | 101 | 77 | 14 | 131 | 954 | 953 | 961 | 44 | 105 | 36 | 28 | 82 | 13 | 3 | 23.08% | 12 | 6 | 50.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 45.8% | 10.7% | 81.9% | 92.6 | FUN |
| 8 | Eagles | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 113 | 101 | 77 | 14 | 59 | 954 | 953 | 961 | 44 | 61 | 19 | 16 | 38 | 9 | 2 | 22.22% | 8 | 3 | 62.50% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 113 | 954 | 953 | 961 | 44 | 136 | 43 | 46 | 73 | 12 | 1 | 8.33% | 20 | 2 | 90.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 146 | 954 | 953 | 961 | 44 | 111 | 43 | 28 | 84 | 17 | 2 | 11.76% | 13 | 2 | 84.62% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 45.0% | 7.5% | 88.3% | 95.8 | Unlucky |
| 11 | islanders | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 15 | 14 | 1 | 5 | 0.625 | 15 | 26 | 41 | 0 | 0 | 113 | 101 | 77 | 14 | 167 | 954 | 953 | 961 | 44 | 156 | 40 | 32 | 106 | 14 | 3 | 21.43% | 14 | 1 | 92.86% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 48.0% | 9.0% | 91.0% | 100.0 | FUN |
| 12 | IceHogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 113 | 101 | 77 | 14 | 73 | 954 | 953 | 961 | 44 | 65 | 24 | 14 | 61 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 73.3% | 16.4% | 92.3% | 108.7 | LUCKY |
| 13 | Griffins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 113 | 101 | 77 | 14 | 125 | 954 | 953 | 961 | 44 | 96 | 35 | 30 | 73 | 9 | 0 | 0.00% | 11 | 3 | 72.73% | 1 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 52.6% | 8.0% | 87.5% | 95.5 | Unlucky |
| 14 | Monsters | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 113 | 101 | 77 | 14 | 93 | 954 | 953 | 961 | 44 | 120 | 26 | 28 | 81 | 4 | 1 | 25.00% | 11 | 2 | 81.82% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 72 | 954 | 953 | 961 | 44 | 75 | 28 | 21 | 53 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 80 | 954 | 953 | 961 | 44 | 75 | 15 | 14 | 49 | 12 | 5 | 41.67% | 7 | 2 | 71.43% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 57 | 954 | 953 | 961 | 44 | 57 | 16 | 12 | 36 | 12 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 73 | 954 | 953 | 961 | 44 | 76 | 20 | 18 | 52 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 56 | 954 | 953 | 961 | 44 | 79 | 22 | 35 | 46 | 5 | 2 | 40.00% | 14 | 2 | 85.71% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 54 | 954 | 953 | 961 | 44 | 49 | 17 | 12 | 39 | 11 | 1 | 9.09% | 5 | 2 | 60.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 88 | 954 | 953 | 961 | 44 | 66 | 24 | 12 | 53 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 52 | 954 | 953 | 961 | 44 | 61 | 20 | 10 | 47 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 72 | 954 | 953 | 961 | 44 | 52 | 15 | 12 | 50 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 146 | 954 | 953 | 961 | 44 | 116 | 30 | 34 | 91 | 14 | 2 | 14.29% | 14 | 1 | 92.86% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 131 | 954 | 953 | 961 | 44 | 145 | 35 | 38 | 103 | 18 | 2 | 11.11% | 17 | 2 | 88.24% | 1 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 75 | 954 | 953 | 961 | 44 | 84 | 19 | 19 | 45 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 58.8% | 16.0% | 90.5% | 106.5 | FUN |
| 27 | Crunch | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 9 | 14 | -5 | 1 | 0.167 | 9 | 17 | 26 | 0 | 0 | 113 | 101 | 77 | 14 | 110 | 954 | 953 | 961 | 44 | 110 | 39 | 23 | 69 | 13 | 2 | 15.38% | 9 | 1 | 88.89% | 1 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 35.0% | 8.2% | 87.3% | 95.5 | Unlucky |
| 28 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 113 | 101 | 77 | 14 | 57 | 954 | 953 | 961 | 44 | 58 | 21 | 12 | 51 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 46.7% | 14.0% | 86.2% | 100.2 | FUN |
| 29 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 113 | 101 | 77 | 14 | 79 | 954 | 953 | 961 | 44 | 62 | 18 | 16 | 43 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 96 | 954 | 953 | 961 | 44 | 78 | 26 | 12 | 44 | 16 | 4 | 25.00% | 6 | 2 | 66.67% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 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 | 113 | 101 | 77 | 14 | 75 | 954 | 953 | 961 | 44 | 62 | 21 | 16 | 38 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 0 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 50.0% | 9.3% | 88.7% | 98.0 | FUN |
| _Vs Division | 26 | 10 | 7 | 0 | 5 | 3 | 0 | 1 | 95 | 82 | 13 | 34 | 0.654 | 95 | 162 | 257 | 0 | 0 | 113 | 101 | 77 | 14 | 896 | 954 | 953 | 961 | 44 | 894 | 239 | 228 | 599 | 88 | 13 | 14.77% | 100 | 13 | 87.00% | 1 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 54.3% | 10.6% | 90.8% | 101.4 | FUN | |
| _Vs Conference | 50 | 17 | 19 | 0 | 5 | 5 | 3 | 1 | 176 | 181 | -5 | 56 | 0.560 | 176 | 298 | 474 | 1 | 0 | 113 | 101 | 77 | 14 | 1781 | 954 | 953 | 961 | 44 | 1712 | 502 | 423 | 1187 | 163 | 23 | 14.11% | 181 | 33 | 81.77% | 4 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 50.8% | 9.9% | 89.4% | 99.3 | FUN | |
| _Since Last GM Reset | 82 | 34 | 29 | 0 | 8 | 7 | 3 | 1 | 302 | 277 | 25 | 98 | 0.598 | 302 | 526 | 828 | 1 | 0 | 113 | 101 | 77 | 14 | 2899 | 954 | 953 | 961 | 44 | 2772 | 827 | 674 | 1932 | 302 | 49 | 16.23% | 287 | 57 | 80.14% | 4 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 53.5% | 10.4% | 90.0% | 100.4 | FUN | |
| Total | 82 | 34 | 29 | 0 | 8 | 7 | 3 | 1 | 302 | 277 | 25 | 98 | 0.598 | 302 | 526 | 828 | 1 | 0 | 113 | 101 | 77 | 14 | 2899 | 954 | 953 | 961 | 44 | 2772 | 827 | 674 | 1932 | 302 | 49 | 16.23% | 287 | 57 | 80.14% | 4 | 1517 | 2985 | 50.82% | 1441 | 2930 | 49.18% | 716 | 1402 | 51.07% | 1901 | 1262 | 1955 | 656 | 1115 | 550 | 53.5% | 10.4% | 90.0% | 100.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2985 |
| Neutral Zone Start | 1402 |
| Defensive Zone Start | 2930 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3674 |
| Faceoffs Lost | 3643 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.6 | 9.57 |
| 2nd Period | 23.3 | 20.31 |
| 3rd Period | 35.0 | 30.68 |
| Overtime | 35.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.6 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.7 | 2.83 |
| Even Strenght Goal | 248 |
|---|---|
| PP Goal | 49 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 21 | 24 |
| Lost | 15 | 14 |
| Overtime Lost | 5 | 3 |
| PP Attempt | 302 |
|---|---|
| PP Goal | 49 |
| PK Attempt | 287 |
| PK Goal Against | 57 |
| Home | |
|---|---|
| Shots For | 35.4 |
| Shots Against | 33.8 |
| Goals For | 3.7 |
| Goals Against | 3.4 |
| Hits | 23.6 |
| Shots Blocked | 10.1 |
| 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 - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 18$ | $ | $ | $ |
| Attendance | 59400 | 30337 | |||
| Attendance PCT | 72.44% | 73.99% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 2189 - 72.96% | 95,399$ | 3,911,345$ | 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 |
|---|---|---|---|
| 2,878,944$ | 0$ | 2,847,186$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 14,711$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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