Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J.J. Peterka (R) | 21 | RW | 100.00 | 66 | 37 | 86 | 68 | 71 | 92 | 88 | 69 | 64 | 67 | 65 | 66 | 69 | 61 | 62 | 0 | 50 | 71 | 21 | 894,167$/4yrs | |||
Tim Gettinger | 64 | LW | 100.00 | 79 | 63 | 76 | 59 | 96 | 83 | 77 | 60 | 66 | 61 | 59 | 65 | 57 | 64 | 66 | 0 | 50 | 70 | 25 | 1,148,500$/2yrs | |||
Logan Shaw (C) | 71 | RW | 100.00 | 72 | 39 | 83 | 62 | 86 | 82 | 85 | 63 | 71 | 62 | 60 | 66 | 63 | 71 | 75 | 0 | 50 | 70 | 30 | 910,000$/1yrs | |||
Sam Steel | 87 | C | 100.00 | 59 | 34 | 93 | 68 | 70 | 82 | 86 | 67 | 83 | 66 | 64 | 59 | 68 | 64 | 65 | 0 | 50 | 69 | 25 | 959,375$/2yrs | |||
Connor McMichael (A) | 15 | C | 100.00 | 59 | 34 | 91 | 67 | 72 | 75 | 79 | 69 | 76 | 65 | 68 | 61 | 72 | 62 | 64 | 0 | 50 | 69 | 22 | 863,333$/3yrs | |||
Joseph Cramarossa (A) | 97 | C | 100.00 | 80 | 39 | 69 | 64 | 75 | 76 | 74 | 63 | 71 | 65 | 58 | 62 | 64 | 70 | 72 | 0 | 50 | 69 | 30 | 750,000$/1yrs | |||
Cole Smith | 29 | LW | 100.00 | 73 | 39 | 88 | 61 | 82 | 81 | 83 | 59 | 64 | 58 | 60 | 62 | 59 | 67 | 69 | 0 | 50 | 68 | 27 | 762,500$/2yrs | |||
Filip Hallander | 20 | C | 100.00 | 60 | 37 | 88 | 66 | 75 | 84 | 85 | 63 | 64 | 61 | 62 | 58 | 63 | 62 | 64 | 0 | 50 | 68 | 22 | 913,333$/2yrs | |||
Joey Anderson | 18 | RW | 100.00 | 65 | 37 | 81 | 62 | 76 | 86 | 79 | 61 | 53 | 58 | 62 | 59 | 61 | 65 | 67 | 0 | 50 | 67 | 24 | 844,500$/2yrs | |||
Tyler Sikura | 73 | C | 100.00 | 68 | 39 | 83 | 61 | 79 | 82 | 81 | 59 | 67 | 60 | 59 | 60 | 61 | 70 | 72 | 0 | 50 | 67 | 30 | 750,000$/1yrs | |||
Ryan MacInnis | 49 | C | 100.00 | 65 | 39 | 92 | 55 | 87 | 80 | 74 | 57 | 75 | 58 | 59 | 60 | 57 | 66 | 68 | 0 | 50 | 66 | 27 | 964,000$/1yrs | |||
Oskar Back | 80 | C | 100.00 | 73 | 38 | 92 | 59 | 84 | 65 | 83 | 58 | 65 | 57 | 56 | 59 | 55 | 62 | 64 | 0 | 50 | 65 | 23 | 925,000$/3yrs | |||
Dante Fabbro | 44 | D | 100.00 | 64 | 37 | 86 | 72 | 71 | 90 | 87 | 70 | 30 | 76 | 58 | 73 | 52 | 64 | 65 | 0 | 50 | 73 | 24 | 2,130,555$/3yrs | |||
Jamie Drysdale | 2 | D | 100.00 | 56 | 34 | 84 | 73 | 69 | 87 | 86 | 70 | 30 | 77 | 61 | 58 | 53 | 61 | 64 | 0 | 50 | 71 | 21 | 1,775,000$/2yrs | |||
Erik Brannstrom | 55 | D | 100.00 | 59 | 32 | 76 | 71 | 67 | 86 | 87 | 68 | 30 | 73 | 59 | 60 | 51 | 63 | 65 | 0 | 50 | 70 | 23 | 1,325,000$/2yrs | |||
Scott Perunovich | 4 | D | 100.00 | 56 | 36 | 83 | 73 | 65 | 83 | 68 | 72 | 30 | 71 | 58 | 61 | 52 | 64 | 66 | 0 | 50 | 69 | 24 | 1,462,500$/2yrs | |||
Cam Dineen | 54 | D | 100.00 | 59 | 36 | 91 | 65 | 70 | 84 | 79 | 63 | 30 | 66 | 58 | 63 | 50 | 64 | 66 | 0 | 50 | 68 | 24 | 843,750$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Will Bitten | 50 | RW | 100.00 | 57 | 37 | 88 | 60 | 66 | 90 | 92 | 59 | 62 | 60 | 58 | 55 | 59 | 64 | 66 | 0 | 50 | 65 | 24 | 858,333$/3yrs | |||
Dominik Bokk | 96 | LW | 100.00 | 68 | 38 | 91 | 60 | 77 | 81 | 67 | 58 | 53 | 57 | 56 | 54 | 61 | 63 | 64 | 0 | 50 | 64 | 23 | 1,075,833$/2yrs | |||
Viktor Lodin (R) | 92 | C | 100.00 | 65 | 37 | 82 | 58 | 77 | 73 | 64 | 60 | 66 | 58 | 61 | 57 | 64 | 63 | 65 | 0 | 50 | 64 | 23 | 765,000$/2yrs | |||
Samuel Houde | 76 | C | 100.00 | 59 | 37 | 91 | 56 | 69 | 67 | 63 | 55 | 64 | 58 | 53 | 54 | 58 | 62 | 64 | 0 | 50 | 61 | 23 | 750,000$/1yrs | |||
Madison Bowey | 6 | D | 100.00 | 79 | 43 | 87 | 66 | 81 | 79 | 80 | 64 | 30 | 68 | 58 | 67 | 50 | 67 | 69 | 0 | 50 | 71 | 27 | 918,500$/2yrs | |||
Olli Juolevi | 38 | D | 100.00 | 67 | 39 | 91 | 65 | 77 | 80 | 71 | 64 | 30 | 63 | 61 | 62 | 55 | 64 | 66 | 0 | 50 | 68 | 24 | 1,317,500$/2yrs | |||
Jacob Bernard-Docker (R) | 91 | D | 100.00 | 62 | 37 | 83 | 65 | 72 | 80 | 88 | 64 | 30 | 63 | 58 | 62 | 50 | 62 | 64 | 0 | 50 | 68 | 22 | 1,208,333$/2yrs | |||
Louie Belpedio | 47 | D | 100.00 | 73 | 34 | 88 | 61 | 72 | 82 | 84 | 59 | 30 | 58 | 57 | 65 | 50 | 66 | 67 | 0 | 50 | 67 | 26 | 830,500$/2yrs | |||
Dennis Gilbert | 41 | D | 100.00 | 73 | 38 | 76 | 59 | 84 | 69 | 75 | 58 | 30 | 60 | 56 | 63 | 51 | 66 | 68 | 0 | 50 | 67 | 26 | 1,152,000$/3yrs | |||
Matthew Robertson | 61 | D | 100.00 | 78 | 41 | 82 | 52 | 87 | 70 | 93 | 51 | 30 | 54 | 52 | 57 | 45 | 61 | 63 | 0 | 50 | 64 | 21 | 896,667$/3yrs | |||
Axel Andersson | 90 | D | 100.00 | 61 | 37 | 89 | 60 | 71 | 67 | 65 | 58 | 30 | 56 | 55 | 54 | 46 | 62 | 64 | 0 | 50 | 62 | 23 | 871,667$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Keith Petruzzelli | 31 | 100.00 | 67 | 66 | 67 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 63 | 69 | 0 | 50 | 70 | 24 | 853,333$/3yrs |
Scratches | ||||||||||||||||||||
Spencer Knight | 33 | 100.00 | 83 | 86 | 84 | 85 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 61 | 65 | 0 | 50 | 82 | 21 | 3,696,667$/5yrs |
Alexei Melnichuk | 1 | 100.00 | 72 | 74 | 73 | 78 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 65 | 71 | 0 | 50 | 73 | 24 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 82 | 95 | 89 | 83 | 77 | 72 | 73 | CAN | 52 | 5 | 0$ |
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 | Connor McMichael | Iowa Wild (MIN) | C | 82 | 33 | 53 | 86 | 23 | 2 | 0 | 36 | 267 | 88 | 197 | 12.36% | 12 | 18.83 | 6 | 14 | 20 | 0 | 0 | 0 | 44 | 6 | 3 | 51.42% | 0 | 0 | 1.05 | 0 | 5 | 1.12 | |||
2 | J.J. Peterka | Iowa Wild (MIN) | RW | 81 | 40 | 31 | 71 | 8 | 14 | 0 | 75 | 366 | 85 | 228 | 10.93% | 21 | 20.90 | 7 | 8 | 15 | 1 | 0 | 1 | 131 | 10 | 2 | 45.94% | 0 | 1 | 0.88 | 1 | 6 | 1.04 | |||
3 | Scott Perunovich | Iowa Wild (MIN) | D | 81 | 13 | 53 | 66 | -17 | 14 | 0 | 50 | 136 | 45 | 104 | 9.56% | 69 | 19.36 | 7 | 17 | 24 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0.81 | 0 | 0 | 0.63 | |||
4 | Sam Steel | Iowa Wild (MIN) | C | 77 | 24 | 38 | 62 | -17 | 12 | 0 | 31 | 285 | 67 | 229 | 8.42% | 15 | 19.32 | 11 | 14 | 25 | 0 | 0 | 0 | 146 | 4 | 1 | 53.64% | 0 | 0 | 0.81 | 1 | 3 | 0.80 | |||
5 | Jamie Drysdale | Iowa Wild (MIN) | D | 82 | 14 | 48 | 62 | -9 | 22 | 0 | 56 | 140 | 33 | 90 | 10.00% | 76 | 19.21 | 9 | 11 | 20 | 0 | 1 | 1 | 19 | 0 | 2 | 0.00% | 0 | 0 | 0.76 | 0 | 0 | 0.62 | |||
6 | Dante Fabbro | Iowa Wild (MIN) | D | 64 | 8 | 48 | 56 | -11 | 44 | 0 | 92 | 123 | 38 | 84 | 6.50% | 126 | 22.67 | 2 | 18 | 20 | 0 | 0 | 0 | 146 | 0 | 0 | 0.00% | 0 | 0 | 0.88 | 0 | 0 | 0.69 | |||
7 | Joey Anderson | Iowa Wild (MIN) | RW | 82 | 22 | 29 | 51 | -10 | 20 | 0 | 50 | 185 | 55 | 143 | 11.89% | 8 | 17.68 | 5 | 13 | 18 | 0 | 0 | 0 | 6 | 3 | 0 | 31.36% | 0 | 0 | 0.62 | 1 | 2 | 0.56 | |||
8 | Erik Brannstrom | Iowa Wild (MIN) | D | 81 | 12 | 37 | 49 | -35 | 68 | 0 | 123 | 121 | 31 | 97 | 9.92% | 115 | 21.67 | 9 | 11 | 20 | 0 | 1 | 1 | 176 | 1 | 0 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.34 | |||
9 | Madison Bowey | Iowa Wild (MIN) | D | 67 | 9 | 38 | 47 | -4 | 89 | 5 | 199 | 138 | 47 | 80 | 6.52% | 126 | 23.07 | 4 | 6 | 10 | 0 | 0 | 0 | 122 | 1 | 1 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.55 | |||
10 | Tim Gettinger | Iowa Wild (MIN) | LW | 78 | 21 | 23 | 44 | 0 | 65 | 15 | 217 | 212 | 53 | 136 | 9.91% | 24 | 19.14 | 5 | 8 | 13 | 0 | 0 | 0 | 139 | 2 | 1 | 42.11% | 0 | 0 | 0.56 | 0 | 0 | 0.57 | |||
11 | Cam Dineen | Iowa Wild (MIN) | D | 81 | 7 | 36 | 43 | 9 | 28 | 0 | 91 | 88 | 24 | 49 | 7.95% | 116 | 17.71 | 2 | 5 | 7 | 0 | 0 | 0 | 183 | 1 | 2 | 0.00% | 0 | 0 | 0.53 | 0 | 0 | 0.51 | |||
12 | Logan Shaw | Iowa Wild (MIN) | RW | 81 | 14 | 24 | 38 | -14 | 41 | 5 | 106 | 236 | 61 | 143 | 5.93% | 26 | 18.79 | 1 | 4 | 5 | 0 | 0 | 0 | 160 | 0 | 1 | 50.00% | 0 | 1 | 0.47 | 0 | 1 | 0.44 | |||
13 | Joseph Cramarossa | Iowa Wild (MIN) | C | 82 | 17 | 19 | 36 | -15 | 77 | 15 | 223 | 180 | 50 | 146 | 9.44% | 16 | 17.07 | 2 | 5 | 7 | 0 | 0 | 0 | 108 | 3 | 0 | 51.72% | 0 | 0 | 0.44 | 0 | 1 | 0.33 | |||
14 | Olli Juolevi | Iowa Wild (MIN) | D | 71 | 7 | 26 | 33 | 17 | 30 | 0 | 111 | 98 | 26 | 60 | 7.14% | 101 | 18.38 | 4 | 5 | 9 | 0 | 0 | 0 | 159 | 0 | 0 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.54 | |||
15 | Filip Hallander | Iowa Wild (MIN) | C | 82 | 14 | 11 | 25 | -8 | 4 | 0 | 21 | 146 | 63 | 107 | 9.59% | 10 | 13.79 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 54.11% | 0 | 0 | 0.30 | 1 | 4 | 0.35 | |||
16 | Cole Smith | Iowa Wild (MIN) | LW | 82 | 8 | 10 | 18 | -8 | 20 | 0 | 70 | 109 | 38 | 107 | 7.34% | 15 | 13.45 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | 0 | 47.06% | 0 | 0 | 0.22 | 0 | 0 | 0.23 | |||
17 | Jacob Bernard-Docker | Iowa Wild (MIN) | D | 58 | 1 | 15 | 16 | -3 | 12 | 0 | 42 | 32 | 13 | 25 | 3.13% | 44 | 10.88 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.22 | |||
18 | Ryan MacInnis | Iowa Wild (MIN) | C | 58 | 4 | 5 | 9 | -7 | 11 | 5 | 29 | 47 | 17 | 40 | 8.51% | 5 | 8.35 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 50.99% | 0 | 0 | 0.16 | 0 | 0 | 0.12 | |||
19 | Tyler Sikura | Iowa Wild (MIN) | C | 56 | 5 | 4 | 9 | -10 | 20 | 10 | 28 | 54 | 17 | 32 | 9.26% | 4 | 7.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 48.57% | 0 | 0 | 0.16 | 0 | 0 | 0.09 | |||
20 | Oskar Back | Iowa Wild (MIN) | C | 53 | 1 | 3 | 4 | -6 | 8 | 0 | 41 | 36 | 13 | 34 | 2.78% | 5 | 7.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 0 | 0 | 0.08 | 0 | 0 | 0.08 | |||
21 | Will Bitten | Iowa Wild (MIN) | RW | 16 | 1 | 2 | 3 | 2 | 0 | 0 | 2 | 7 | 0 | 10 | 14.29% | 1 | 5.82 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.19 | 0 | 0 | 0.22 | |||
22 | Dominik Bokk | Iowa Wild (MIN) | LW | 4 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 4 | 1 | 1 | 25.00% | 0 | 7.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.52 | |||
23 | Louie Belpedio | Iowa Wild (MIN) | D | 28 | 1 | 0 | 1 | 2 | 2 | 0 | 4 | 4 | 0 | 0 | 25.00% | 1 | 1.81 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | 0.05 | |||
24 | Dennis Gilbert | Iowa Wild (MIN) | D | 27 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 2 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | 0.02 | |||
25 | Viktor Lodin | Iowa Wild (MIN) | C | 6 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 7 | 1 | 9 | 0.00% | 0 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
Team Total or Average | 1560 | 277 | 555 | 832 | -115 | 605 | 55 | 1703 | 3022 | 867 | 2151 | 9.17% | 938 | 16.43 | 75 | 140 | 215 | 2840 | 1 | 2 | 3 | 1736 | 37 | 13 | 50.92% | 8847 | 0 | 0 | 0 | 2 | 0.65 | 4 | 22 |
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 | Spencer Knight | Iowa Wild (MIN) | 67 | 35 | 26 | 5 | 0.906 | 3.26 | 3863 | 6 | 4 | 210 | 2226 | 0 | 2 | 0 | 0.875 | 16 | 66 | 16 | 10 | 1 | 3 |
2 | Alexei Melnichuk | Iowa Wild (MIN) | 21 | 6 | 8 | 2 | 0.906 | 3.28 | 1078 | 2 | 1 | 59 | 629 | 0 | 0 | 0 | 0.714 | 7 | 16 | 59 | 1 | 1 | 1 |
3 | Keith Petruzzelli | Iowa Wild (MIN) | 1 | 0 | 0 | 0 | 0.800 | 2.73 | 22 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0.000 | 0 | 0 | 7 | 0 | 0 | 0 |
Team Total or Average | 89 | 41 | 34 | 7 | 0.906 | 3.26 | 4964 | 8 | 5 | 270 | 2860 | 0 | 2 | 0 | 0.826 | 23 | 82 | 82 | 11 | 2 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexei Melnichuk | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Axel Andersson | D | 23 | 871,667$ | 871,667$ | 871,667$ | RFA | |||||
Cam Dineen | D | 24 | 843,750$ | 937,500$ | 750,000$ | RFA | |||||
Cole Smith | LW | 27 | 762,500$ | 750,000$ | 775,000$ | UFA | |||||
Connor McMichael | C | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Dante Fabbro | D | 24 | 2,130,555$ | 1,491,666$ | 2,400,000$ | 2,500,000$ | UFA | ||||
Dennis Gilbert | D | 26 | 1,152,000$ | 1,931,000$ | 762,500$ | 762,500$ | UFA | ||||
Dominik Bokk | LW | 23 | 1,075,833$ | 1,075,833$ | 1,075,833$ | RFA | |||||
Erik Brannstrom | D | 23 | 1,325,000$ | 1,750,000$ | 900,000$ | RFA | |||||
Filip Hallander | C | 22 | 913,333$ | 913,333$ | 913,333$ | RFA | |||||
J.J. Peterka | RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | |||
Jacob Bernard-Docker | D | 22 | 1,208,333$ | 1,208,333$ | 1,208,333$ | RFA | |||||
Jamie Drysdale | D | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | |||||
Joey Anderson | RW | 24 | 844,500$ | 939,000$ | 750,000$ | RFA | |||||
Joseph Cramarossa | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Keith Petruzzelli | G | 24 | 853,333$ | 925,000$ | 817,500$ | 817,500$ | UFA | ||||
Logan Shaw | RW | 30 | 910,000$ | 910,000$ | UFA | ||||||
Louie Belpedio | D | 26 | 830,500$ | 911,000$ | 750,000$ | UFA | |||||
Madison Bowey | D | 27 | 918,500$ | 1,087,000$ | 750,000$ | UFA | |||||
Matthew Robertson | D | 21 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Olli Juolevi | D | 24 | 1,317,500$ | 1,885,000$ | 750,000$ | UFA | |||||
Oskar Back | C | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Ryan MacInnis | C | 27 | 964,000$ | 964,000$ | UFA | ||||||
Sam Steel | C | 25 | 959,375$ | 1,093,750$ | 825,000$ | UFA | |||||
Samuel Houde | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Scott Perunovich | D | 24 | 1,462,500$ | 2,175,000$ | 750,000$ | RFA | |||||
Spencer Knight | G | 21 | 3,696,667$ | 2,491,667$ | 2,491,667$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Tim Gettinger | LW | 25 | 1,148,500$ | 1,547,000$ | 750,000$ | UFA | |||||
Tyler Sikura | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Viktor Lodin | C | 23 | 765,000$ | 700,000$ | 830,000$ | RFA | |||||
Will Bitten | RW | 24 | 858,333$ | 1,050,000$ | 762,500$ | 762,500$ | UFA |
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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 |
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1 | Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 111 | 90 | 63 | 7 | 42 | 930 | 979 | 888 | 47 | 40 | 3 | 10 | 22 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 60.0% | 9.5% | 95.0% | 104.5 | LUCKY |
2 | Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 111 | 90 | 63 | 7 | 36 | 930 | 979 | 888 | 47 | 29 | 10 | 14 | 22 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 75.0% | 11.1% | 93.1% | 104.2 | LUCKY |
3 | Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 111 | 90 | 63 | 7 | 29 | 930 | 979 | 888 | 47 | 54 | 13 | 8 | 17 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 50.0% | 13.8% | 90.7% | 104.5 | FUN |
4 | Binghamton Senateurs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 111 | 90 | 63 | 7 | 78 | 930 | 979 | 888 | 47 | 78 | 25 | 23 | 35 | 9 | 1 | 11.11% | 9 | 4 | 55.56% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 37.5% | 5.1% | 88.5% | 93.6 | Unlucky |
5 | Bears | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 111 | 90 | 63 | 7 | 73 | 930 | 979 | 888 | 47 | 69 | 28 | 24 | 40 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 41.7% | 8.2% | 89.9% | 98.1 | Unlucky |
6 | Rockets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 111 | 90 | 63 | 7 | 106 | 930 | 979 | 888 | 47 | 97 | 22 | 12 | 68 | 14 | 3 | 21.43% | 5 | 1 | 80.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 53.3% | 10.4% | 91.8% | 102.1 | LUCKY |
7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 111 | 90 | 63 | 7 | 37 | 930 | 979 | 888 | 47 | 39 | 10 | 4 | 16 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 20.0% | 2.7% | 87.2% | 89.9 | Unlucky |
8 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 111 | 90 | 63 | 7 | 28 | 930 | 979 | 888 | 47 | 45 | 15 | 10 | 31 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 33.3% | 3.6% | 91.1% | 94.7 | Unlucky |
9 | Eagles | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 25 | 24 | 1 | 7 | 0.583 | 25 | 46 | 71 | 0 | 0 | 111 | 90 | 63 | 7 | 209 | 930 | 979 | 888 | 47 | 207 | 66 | 60 | 123 | 25 | 4 | 16.00% | 27 | 6 | 77.78% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 53.8% | 12.0% | 88.4% | 100.4 | FUN |
10 | Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 111 | 90 | 63 | 7 | 87 | 930 | 979 | 888 | 47 | 91 | 13 | 12 | 35 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 50.0% | 11.5% | 92.3% | 103.8 | LUCKY |
11 | Wolf Pack | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 111 | 90 | 63 | 7 | 36 | 930 | 979 | 888 | 47 | 31 | 12 | 7 | 17 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 42.9% | 11.1% | 83.9% | 95.0 | FUN |
12 | islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 111 | 90 | 63 | 7 | 41 | 930 | 979 | 888 | 47 | 33 | 11 | 8 | 24 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 33.3% | 2.4% | 90.9% | 93.3 | Unlucky |
13 | IceHogs | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 11 | 9 | 10 | 0.833 | 20 | 36 | 56 | 0 | 1 | 111 | 90 | 63 | 7 | 219 | 930 | 979 | 888 | 47 | 177 | 64 | 35 | 121 | 27 | 3 | 11.11% | 14 | 2 | 85.71% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 65.4% | 9.1% | 93.8% | 102.9 | LUCKY |
14 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 4 | 7 | 0 | 1 | 111 | 90 | 63 | 7 | 29 | 930 | 979 | 888 | 47 | 41 | 11 | 2 | 19 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY |
15 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 111 | 90 | 63 | 7 | 26 | 930 | 979 | 888 | 47 | 31 | 11 | 4 | 19 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 60.0% | 23.1% | 87.1% | 110.2 | FUN |
16 | Barracuda | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 111 | 90 | 63 | 7 | 102 | 930 | 979 | 888 | 47 | 86 | 23 | 16 | 57 | 11 | 1 | 9.09% | 5 | 2 | 60.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 47.1% | 8.8% | 87.2% | 96.0 | Unlucky |
17 | Condors | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 111 | 90 | 63 | 7 | 64 | 930 | 979 | 888 | 47 | 65 | 23 | 24 | 55 | 7 | 1 | 14.29% | 10 | 3 | 70.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 77.8% | 12.5% | 92.3% | 104.8 | LUCKY |
18 | Reign | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 111 | 90 | 63 | 7 | 64 | 930 | 979 | 888 | 47 | 60 | 21 | 10 | 53 | 8 | 6 | 75.00% | 5 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 25.0% | 12.5% | 90.0% | 102.5 | FUN |
19 | Thunderbirds | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 26 | -7 | 4 | 0.333 | 19 | 32 | 51 | 0 | 0 | 111 | 90 | 63 | 7 | 158 | 930 | 979 | 888 | 47 | 247 | 76 | 48 | 135 | 12 | 2 | 16.67% | 18 | 4 | 77.78% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 43.6% | 12.0% | 89.5% | 101.5 | FUN |
20 | Wranglers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 111 | 90 | 63 | 7 | 54 | 930 | 979 | 888 | 47 | 88 | 30 | 14 | 40 | 9 | 0 | 0.00% | 7 | 3 | 57.14% | 1 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 33.3% | 3.7% | 92.0% | 95.7 | DULL |
21 | Gulls | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 111 | 90 | 63 | 7 | 64 | 930 | 979 | 888 | 47 | 63 | 21 | 15 | 45 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 41.7% | 7.8% | 85.7% | 93.5 | Unlucky |
22 | Texas Stars | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 19 | 27 | -8 | 2 | 0.167 | 19 | 37 | 56 | 0 | 1 | 111 | 90 | 63 | 7 | 196 | 930 | 979 | 888 | 47 | 215 | 75 | 44 | 156 | 17 | 5 | 29.41% | 22 | 8 | 63.64% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 42.4% | 9.7% | 87.4% | 97.1 | FUN |
23 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 111 | 90 | 63 | 7 | 83 | 930 | 979 | 888 | 47 | 65 | 12 | 10 | 49 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 75.0% | 10.8% | 93.8% | 104.7 | LUCKY |
24 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 111 | 90 | 63 | 7 | 27 | 930 | 979 | 888 | 47 | 33 | 6 | 12 | 23 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 100.0% | 3.7% | 100.0% | 103.7 | DULL |
25 | W-B/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 111 | 90 | 63 | 7 | 37 | 930 | 979 | 888 | 47 | 22 | 5 | 4 | 15 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 40.0% | 5.4% | 81.8% | 87.2 | Unlucky |
26 | Roadrunners | 6 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 21 | 21 | 0 | 7 | 0.583 | 21 | 37 | 58 | 0 | 0 | 111 | 90 | 63 | 7 | 234 | 930 | 979 | 888 | 47 | 181 | 64 | 41 | 124 | 27 | 5 | 18.52% | 11 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 43.2% | 9.0% | 88.4% | 97.4 | FUN |
27 | Crunch | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 111 | 90 | 63 | 7 | 74 | 930 | 979 | 888 | 47 | 67 | 27 | 16 | 40 | 7 | 3 | 42.86% | 7 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 62.5% | 10.8% | 95.5% | 106.3 | LUCKY |
28 | Admirals | 6 | 2 | 1 | 0 | 1 | 2 | 0 | 0 | 21 | 20 | 1 | 8 | 0.667 | 21 | 41 | 62 | 0 | 1 | 111 | 90 | 63 | 7 | 223 | 930 | 979 | 888 | 47 | 210 | 50 | 34 | 159 | 22 | 5 | 22.73% | 15 | 1 | 93.33% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 45.7% | 9.4% | 90.5% | 99.9 | FUN |
29 | Moose | 7 | 3 | 2 | 0 | 0 | 1 | 1 | 0 | 23 | 21 | 2 | 9 | 0.643 | 23 | 40 | 63 | 0 | 0 | 111 | 90 | 63 | 7 | 224 | 930 | 979 | 888 | 47 | 262 | 72 | 59 | 164 | 22 | 9 | 40.91% | 22 | 4 | 81.82% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 45.2% | 10.3% | 92.0% | 102.3 | LUCKY |
30 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 111 | 90 | 63 | 7 | 86 | 930 | 979 | 888 | 47 | 58 | 16 | 8 | 27 | 15 | 3 | 20.00% | 3 | 0 | 100.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 55.6% | 9.3% | 93.1% | 102.4 | LUCKY |
31 | Firebirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 111 | 90 | 63 | 7 | 56 | 930 | 979 | 888 | 47 | 76 | 18 | 27 | 32 | 4 | 1 | 25.00% | 8 | 4 | 50.00% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 28.6% | 5.4% | 88.2% | 93.5 | Unlucky |
_Vs Division | 43 | 18 | 17 | 0 | 1 | 3 | 2 | 2 | 148 | 150 | -2 | 47 | 0.547 | 148 | 269 | 417 | 0 | 3 | 111 | 90 | 63 | 7 | 1463 | 930 | 979 | 888 | 47 | 1499 | 467 | 321 | 982 | 152 | 33 | 21.71% | 129 | 25 | 80.62% | 0 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 47.9% | 10.1% | 90.0% | 100.1 | FUN | |
_Vs Conference | 60 | 25 | 25 | 0 | 2 | 3 | 2 | 3 | 200 | 205 | -5 | 64 | 0.533 | 200 | 368 | 568 | 0 | 3 | 111 | 90 | 63 | 7 | 2036 | 930 | 979 | 888 | 47 | 2060 | 631 | 445 | 1340 | 221 | 45 | 20.36% | 177 | 40 | 77.40% | 1 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 48.4% | 9.8% | 90.0% | 99.9 | FUN | |
_Since Last GM Reset | 82 | 35 | 34 | 0 | 3 | 4 | 3 | 3 | 270 | 273 | -3 | 89 | 0.543 | 270 | 490 | 760 | 0 | 5 | 111 | 90 | 63 | 7 | 2822 | 930 | 979 | 888 | 47 | 2860 | 853 | 615 | 1783 | 307 | 61 | 19.87% | 246 | 54 | 78.05% | 1 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 48.8% | 9.6% | 90.5% | 100.0 | FUN | |
Total | 82 | 35 | 34 | 0 | 3 | 4 | 3 | 3 | 270 | 273 | -3 | 89 | 0.543 | 270 | 490 | 760 | 0 | 5 | 111 | 90 | 63 | 7 | 2822 | 930 | 979 | 888 | 47 | 2860 | 853 | 615 | 1783 | 307 | 61 | 19.87% | 246 | 54 | 78.05% | 1 | 1573 | 3105 | 50.66% | 1539 | 3022 | 50.93% | 668 | 1315 | 50.80% | 1996 | 1379 | 1914 | 603 | 1054 | 534 | 48.8% | 9.6% | 90.5% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3105 |
Neutral Zone Start | 1315 |
Defensive Zone Start | 3022 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3780 |
Faceoffs Lost | 3662 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 34.1 | 30.68 |
Overtime | 34.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 208 |
---|---|
PP Goal | 61 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 21 |
Lost | 16 | 18 |
Overtime Lost | 5 | 2 |
PP Attempt | 307 |
---|---|
PP Goal | 61 |
PK Attempt | 246 |
PK Goal Against | 54 |
Home | |
---|---|
Shots For | 34.4 |
Shots Against | 34.9 |
Goals For | 3.3 |
Goals Against | 3.3 |
Hits | 21.7 |
Shots Blocked | 10.4 |
Pim | 7.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,596,192$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Iowa | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 60243 | 39332 | |||
Attendance PCT | 73.47% | 95.93% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2429 - 80.96% | 98,067$ | 4,020,744$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,596,192$ | 3,416,584$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
591,334$ | 0$ | 591,334$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 19,334$ | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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