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Full Scoreboard »» |
| Iowa Wild 19-6-0, 38pts · 1st in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Max McCormick | 0 | LW | 99.00 | 72 | 40 | 71 | 57 | 72 | 72 | 72 | 70 | 41 | 59 | 64 | 74 | 61 | 81 | 78 | 0 | 64 | 75 | 33 | 800,000$/2yrs | |||
Curtis McKenzie | 11 | LW | 100.00 | 74 | 41 | 68 | 53 | 81 | 70 | 70 | 71 | 40 | 59 | 57 | 75 | 58 | 82 | 79 | 0 | 64 | 73 | 34 | 800,000$/2yrs | |||
Cameron Hughes | 53 | C/LW | 100.00 | 72 | 40 | 72 | 58 | 72 | 70 | 73 | 66 | 45 | 61 | 61 | 70 | 61 | 74 | 71 | 0 | 64 | 73 | 29 | 800,000$/2yrs | |||
Brett Seney | 0 | C/LW | 100.00 | 74 | 39 | 68 | 58 | 63 | 70 | 71 | 66 | 48 | 62 | 58 | 70 | 60 | 74 | 70 | 0 | 64 | 72 | 29 | 800,000$/2yrs | |||
Alexander Holtz | 0 | LW/RW | 99.00 | 63 | 33 | 93 | 62 | 76 | 75 | 86 | 59 | 58 | 61 | 64 | 51 | 62 | 63 | 62 | 0 | 67 | 71 | 23 | 950,000$/2yrs | |||
Rory Kerins (R) | 0 | C | 100.00 | 59 | 38 | 92 | 61 | 73 | 68 | 74 | 61 | 60 | 59 | 63 | 64 | 61 | 63 | 62 | 0 | 67 | 71 | 23 | 850,000$/3yrs | |||
Walker Duehr | 0 | RW | 100.00 | 77 | 33 | 96 | 55 | 83 | 69 | 75 | 54 | 56 | 58 | 58 | 58 | 56 | 70 | 70 | 0 | 67 | 69 | 28 | 800,000$/2yrs | |||
Xavier Bourgeault (R) | 0 | RW | 100.00 | 64 | 38 | 88 | 65 | 68 | 70 | 84 | 62 | 46 | 57 | 55 | 62 | 64 | 59 | 58 | 0 | 67 | 69 | 23 | 900,000$/3yrs | |||
Philippe Daoust | 0 | C | 100.00 | 60 | 38 | 91 | 55 | 77 | 65 | 66 | 62 | 66 | 57 | 53 | 65 | 55 | 64 | 64 | 0 | 67 | 68 | 24 | 775,000$/1yrs | |||
Josh Bloom (R) | 0 | LW | 100.00 | 58 | 38 | 95 | 52 | 74 | 61 | 65 | 61 | 38 | 53 | 50 | 64 | 51 | 61 | 60 | 0 | 67 | 66 | 22 | 836,667$/1yrs | |||
Jake Wise (R) | 0 | C | 100.00 | 63 | 38 | 86 | 53 | 72 | 62 | 74 | 61 | 63 | 54 | 51 | 65 | 52 | 63 | 61 | 0 | 59 | 66 | 25 | 800,000$/1yrs | |||
Owen Lindmark (R) | 0 | C | 100.00 | 58 | 38 | 95 | 51 | 76 | 61 | 65 | 63 | 60 | 52 | 50 | 66 | 51 | 64 | 64 | 0 | 67 | 66 | 24 | 775,000$/1yrs | |||
Evan Nause (R) | 0 | D | 99.00 | 70 | 40 | 76 | 61 | 75 | 66 | 60 | 56 | 30 | 55 | 48 | 62 | 59 | 56 | 53 | 0 | 66 | 68 | 22 | 864,167$/1yrs | |||
Wyatt Aamodt | 0 | D | 99.00 | 70 | 40 | 74 | 48 | 78 | 65 | 67 | 48 | 30 | 54 | 52 | 70 | 53 | 71 | 69 | 0 | 67 | 67 | 28 | 775,000$/1yrs | |||
Christoffer Sedoff (R) | 0 | D | 100.00 | 64 | 40 | 84 | 49 | 83 | 63 | 66 | 48 | 30 | 54 | 51 | 65 | 53 | 63 | 61 | 0 | 55 | 66 | 23 | 870,000$/1yrs | |||
Nikita Novikov (R) | 0 | D | 100.00 | 69 | 41 | 76 | 50 | 84 | 63 | 67 | 49 | 30 | 56 | 52 | 64 | 54 | 61 | 58 | 0 | 70 | 66 | 22 | 867,500$/1yrs | |||
Ryan O'Rourke (R) | 0 | D | 100.00 | 71 | 40 | 72 | 48 | 76 | 62 | 66 | 47 | 30 | 53 | 51 | 65 | 52 | 63 | 60 | 0 | 53 | 65 | 23 | 850,000$/3yrs | |||
Daniil Chayka (R) | 0 | D | 100.00 | 64 | 40 | 85 | 47 | 82 | 62 | 65 | 47 | 30 | 52 | 50 | 65 | 51 | 63 | 61 | 0 | 37 | 65 | 23 | 825,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Chase de Leo | 0 | C | 100.00 | 59 | 38 | 92 | 56 | 73 | 70 | 69 | 67 | 49 | 61 | 57 | 71 | 59 | 75 | 74 | 0 | 20 | 72 | 30 | 800,000$/1yrs | |||
Grigori Denisenko | 0 | LW/RW | 100.00 | 74 | 41 | 67 | 59 | 76 | 68 | 71 | 63 | 37 | 60 | 59 | 66 | 59 | 66 | 63 | 0 | 20 | 71 | 25 | 800,000$/2yrs | |||
Marian Studenic | 0 | LW/RW | 100.00 | 62 | 38 | 87 | 58 | 72 | 67 | 88 | 63 | 42 | 59 | 59 | 66 | 59 | 66 | 65 | 0 | 20 | 70 | 27 | 1,250,000$/1yrs | |||
Henri Nikkanen (R) | 0 | C | 100.00 | 60 | 40 | 92 | 53 | 88 | 63 | 66 | 62 | 67 | 53 | 53 | 66 | 53 | 64 | 64 | 0 | 20 | 67 | 24 | 800,000$/3yrs | |||
Henry Rybinski | 0 | RW | 100.00 | 62 | 38 | 87 | 52 | 69 | 61 | 83 | 61 | 70 | 52 | 50 | 64 | 51 | 61 | 59 | 0 | 20 | 65 | 24 | 800,000$/3yrs | |||
Anttoni Honka (R) | 0 | D | 100.00 | 61 | 38 | 89 | 51 | 70 | 63 | 77 | 49 | 30 | 57 | 49 | 65 | 53 | 63 | 61 | 0 | 20 | 67 | 25 | 800,000$/2yrs | |||
Rodwin Dionicio (R) | 0 | D | 100.00 | 90 | 43 | 50 | 51 | 78 | 63 | 66 | 49 | 30 | 54 | 56 | 63 | 55 | 59 | 54 | 0 | 20 | 66 | 21 | 950,000$/2yrs | |||
Charles-Alexis Legault (R) | 0 | D | 95.78 | 73 | 41 | 69 | 49 | 84 | 62 | 66 | 48 | 30 | 54 | 51 | 64 | 53 | 61 | 58 | 0 | 55 | 66 | 22 | 915,833$/2yrs | |||
Roman Schmidt (R) | 0 | D | 100.00 | 87 | 44 | 50 | 47 | 89 | 61 | 66 | 46 | 30 | 51 | 52 | 64 | 52 | 61 | 56 | 0 | 20 | 64 | 22 | 800,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Magnus Chrona | 0 | 100.00 | 60 | 63 | 66 | 81 | 54 | 61 | 61 | 70 | 61 | 70 | 61 | 65 | 68 | 0 | 72 | 69 | 25 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Ivan Prosvetov | 50 | 95.00 | 75 | 64 | 67 | 82 | 73 | 64 | 75 | 84 | 69 | 82 | 75 | 69 | 72 | 0 | 69 | 77 | 26 | 950,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jean-Jacques Daigneault | 58 | 59 | 53 | 65 | 57 | 64 | 81 | CAN | 60 | 4 | 500,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Cameron Hughes | C/LW | 25 | 11 | 10 | 21 | 7 | 14 | 0 | 92 | 108 | 25 | 80 | 10.19% | 11 | 20.42 | 2 | 4 | 6 | 69 | 0 | 1 | 1 | 79 | 1 | 3 | 42.81% | 306 | 0 | 0 | 0 | 0 | 0.82 | 1 | 1 | ||
| 2 | Curtis McKenzie | LW | 25 | 10 | 10 | 20 | 3 | 14 | 0 | 34 | 87 | 16 | 39 | 11.49% | 3 | 13.18 | 4 | 5 | 9 | 73 | 0 | 0 | 0 | 4 | 5 | 0 | 47.62% | 21 | 0 | 0 | 0 | 1 | 1.21 | 0 | 0 | ||
| 3 | Philippe Daoust | C | 25 | 7 | 13 | 20 | 6 | 0 | 0 | 7 | 58 | 14 | 45 | 12.07% | 2 | 17.17 | 3 | 2 | 5 | 68 | 0 | 0 | 0 | 0 | 0 | 0 | 54.16% | 565 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
| 4 | Xavier Bourgeault | RW | 25 | 5 | 14 | 19 | 7 | 10 | 0 | 27 | 67 | 19 | 53 | 7.46% | 1 | 17.59 | 1 | 3 | 4 | 74 | 0 | 0 | 0 | 0 | 2 | 0 | 39.02% | 41 | 0 | 0 | 0 | 0 | 0.86 | 0 | 1 | ||
| 5 | Max McCormick | LW | 25 | 6 | 11 | 17 | 3 | 33 | 5 | 74 | 99 | 35 | 64 | 6.06% | 6 | 17.78 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 31 | 1 | 2 | 51.61% | 31 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
| 6 | Alexander Holtz | LW/RW | 25 | 6 | 9 | 15 | 5 | 2 | 0 | 22 | 51 | 17 | 43 | 11.76% | 0 | 22.67 | 1 | 4 | 5 | 77 | 1 | 0 | 1 | 82 | 0 | 1 | 42.11% | 57 | 0 | 0 | 1 | 0 | 0.53 | 1 | 1 | ||
| 7 | Brett Seney | C/LW | 25 | 3 | 10 | 13 | 1 | 10 | 0 | 33 | 40 | 10 | 25 | 7.50% | 3 | 11.36 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 14 | 0 | 0 | 39.87% | 316 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
| 8 | Rory Kerins | C | 25 | 6 | 7 | 13 | 1 | 2 | 0 | 9 | 70 | 13 | 40 | 8.57% | 3 | 14.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 51.90% | 447 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 9 | Evan Nause | D | 25 | 3 | 9 | 12 | 8 | 16 | 0 | 37 | 22 | 12 | 15 | 13.64% | 27 | 23.66 | 2 | 2 | 4 | 77 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 10 | Wyatt Aamodt | D | 25 | 3 | 7 | 10 | 8 | 16 | 0 | 39 | 23 | 9 | 29 | 13.04% | 33 | 22.11 | 1 | 0 | 1 | 76 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 11 | Nikita Novikov | D | 25 | 3 | 5 | 8 | 3 | 35 | 15 | 58 | 24 | 9 | 8 | 12.50% | 21 | 20.59 | 3 | 3 | 6 | 68 | 0 | 0 | 0 | 58 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 12 | Charles-Alexis Legault | D | 24 | 0 | 8 | 8 | 8 | 23 | 5 | 48 | 9 | 2 | 8 | 0.00% | 16 | 18.52 | 0 | 2 | 2 | 41 | 0 | 1 | 1 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 13 | Josh Bloom | LW | 25 | 4 | 1 | 5 | 3 | 0 | 0 | 5 | 19 | 3 | 14 | 21.05% | 0 | 7.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 14 | Christoffer Sedoff | D | 24 | 0 | 5 | 5 | 10 | 6 | 0 | 40 | 11 | 6 | 8 | 0.00% | 20 | 17.48 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 15 | Owen Lindmark | C | 25 | 2 | 3 | 5 | 5 | 4 | 0 | 12 | 39 | 8 | 17 | 5.13% | 3 | 9.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | 0 | 55.43% | 267 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 16 | Ryan O'Rourke | D | 18 | 0 | 4 | 4 | -1 | 12 | 0 | 34 | 10 | 3 | 2 | 0.00% | 21 | 17.38 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 17 | Walker Duehr | RW | 25 | 2 | 0 | 2 | 4 | 0 | 0 | 1 | 8 | 2 | 5 | 25.00% | 3 | 3.76 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 35 | 2 | 0 | 52.00% | 25 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 18 | Daniil Chayka | D | 10 | 1 | 1 | 2 | -4 | 6 | 0 | 9 | 7 | 0 | 3 | 14.29% | 5 | 15.54 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 19 | Jake Wise | C | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 446 | 72 | 127 | 199 | 77 | 203 | 25 | 581 | 752 | 203 | 498 | 9.57% | 178 | 15.39 | 17 | 28 | 45 | 694 | 1 | 2 | 3 | 571 | 16 | 8 | 49.28% | 2086 | 0 | 0 | 1 | 1 | 0.58 | 2 | 3 |
| 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 | Ivan Prosvetov | 19 | 15 | 4 | 0 | 0.930 | 2.25 | 1146 | 2 | 1 | 43 | 615 | 0 | 0 | 0 | 0.667 | 3 | 19 | 6 | 3 | 0 | 0 | |
| 2 | Magnus Chrona | 6 | 4 | 2 | 0 | 0.901 | 3.14 | 363 | 0 | 0 | 19 | 191 | 0 | 0 | 0 | 0.000 | 0 | 6 | 19 | 0 | 0 | 0 | |
| Team Total or Average | 25 | 19 | 6 | 0 | 0.923 | 2.47 | 1509 | 2 | 1 | 62 | 806 | 0 | 0 | 0 | 0.667 | 3 | 25 | 25 | 3 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Holtz | LW/RW | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
| Anttoni Honka | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Brett Seney | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cameron Hughes | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Charles-Alexis Legault | D | 22 | 915,833$ | 915,833$ | 915,833$ | RFA | |||||
| Chase de Leo | C | 30 | 800,000$ | 800,000$ | UFA | ||||||
| Christoffer Sedoff | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
| Curtis McKenzie | LW | 34 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Daniil Chayka | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
| Evan Nause | D | 22 | 864,167$ | 864,167$ | RFA | ||||||
| Grigori Denisenko | LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Henri Nikkanen | C | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
| Henry Rybinski | RW | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
| Ivan Prosvetov | G | 26 | 950,000$ | 950,000$ | |||||||
| Jake Wise | C | 25 | 800,000$ | 800,000$ | |||||||
| Josh Bloom | LW | 22 | 836,667$ | 836,667$ | RFA | ||||||
| Magnus Chrona | G | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Marian Studenic | LW/RW | 27 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Max McCormick | LW | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Nikita Novikov | D | 22 | 867,500$ | 867,500$ | RFA | ||||||
| Owen Lindmark | C | 24 | 775,000$ | 775,000$ | |||||||
| Philippe Daoust | C | 24 | 775,000$ | 775,000$ | |||||||
| Rodwin Dionicio | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Roman Schmidt | D | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| Rory Kerins | C | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
| Ryan O'Rourke | D | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
| Walker Duehr | RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Wyatt Aamodt | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
| Xavier Bourgeault | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ |
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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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 23 | 37 | 19 | 5 | 39 | 273 | 284 | 283 | 16 | 23 | 6 | 2 | 26 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 100.0% | 10.3% | 95.7% | 105.9 | LUCKY | |
| 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 23 | 37 | 19 | 5 | 40 | 273 | 284 | 283 | 16 | 37 | 11 | 6 | 23 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 60.0% | 10.0% | 91.9% | 101.9 | LUCKY | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 23 | 37 | 19 | 5 | 28 | 273 | 284 | 283 | 16 | 33 | 6 | 17 | 33 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 50.0% | 14.3% | 90.9% | 105.2 | FUN | |
| 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 23 | 37 | 19 | 5 | 69 | 273 | 284 | 283 | 16 | 70 | 17 | 20 | 54 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 57.1% | 11.6% | 94.3% | 105.9 | LUCKY | |
| 5 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 23 | 37 | 19 | 5 | 91 | 273 | 284 | 283 | 16 | 74 | 10 | 22 | 48 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 58.3% | 9.9% | 90.5% | 100.4 | FUN | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 23 | 37 | 19 | 5 | 28 | 273 | 284 | 283 | 16 | 38 | 14 | 14 | 29 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 100.0% | 17.9% | 97.4% | 115.2 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 23 | 37 | 19 | 5 | 35 | 273 | 284 | 283 | 16 | 40 | 6 | 10 | 23 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 50.0% | 8.6% | 95.0% | 103.6 | DULL | |
| 8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 23 | 37 | 19 | 5 | 81 | 273 | 284 | 283 | 16 | 45 | 8 | 22 | 42 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 70.0% | 8.6% | 91.1% | 99.8 | Unlucky | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 23 | 37 | 19 | 5 | 75 | 273 | 284 | 283 | 16 | 54 | 12 | 12 | 57 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 71.4% | 9.3% | 92.6% | 101.9 | LUCKY | |
| 10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 23 | 37 | 19 | 5 | 72 | 273 | 284 | 283 | 16 | 97 | 31 | 18 | 85 | 12 | 3 | 25.00% | 9 | 2 | 77.78% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 53.3% | 15.3% | 90.7% | 106.0 | FUN | |
| 11 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 23 | 37 | 19 | 5 | 107 | 273 | 284 | 283 | 16 | 79 | 12 | 20 | 55 | 18 | 2 | 11.11% | 10 | 3 | 70.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 88.9% | 9.3% | 94.9% | 104.3 | LUCKY | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 23 | 37 | 19 | 5 | 28 | 273 | 284 | 283 | 16 | 38 | 12 | 4 | 21 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 50.0% | 7.1% | 89.5% | 96.6 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 37 | 19 | 5 | 29 | 273 | 284 | 283 | 16 | 45 | 10 | 8 | 27 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 25.0% | 3.4% | 93.3% | 96.8 | DULL | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 23 | 37 | 19 | 5 | 34 | 273 | 284 | 283 | 16 | 30 | 5 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 100.0% | 2.9% | 100.0% | 102.9 | DULL | |
| 15 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 23 | 37 | 19 | 5 | 97 | 273 | 284 | 283 | 16 | 103 | 22 | 35 | 79 | 10 | 3 | 30.00% | 13 | 1 | 92.31% | 0 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 25.0% | 7.2% | 87.4% | 94.6 | Unlucky | |
| _Vs Division | 11 | 8 | 5 | 0 | 3 | 0 | 0 | 0 | 39 | 28 | 11 | 22 | 1.000 | 39 | 69 | 108 | 0 | 0 | 23 | 37 | 19 | 5 | 379 | 273 | 284 | 283 | 16 | 333 | 73 | 86 | 251 | 40 | 7 | 17.50% | 33 | 10 | 69.70% | 1 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 64.0% | 10.3% | 91.6% | 101.9 | LUCKY | |
| _Vs Conference | 19 | 11 | 5 | 0 | 3 | 0 | 0 | 0 | 62 | 48 | 14 | 28 | 0.737 | 62 | 109 | 171 | 0 | 1 | 23 | 37 | 19 | 5 | 653 | 273 | 284 | 283 | 16 | 599 | 129 | 159 | 459 | 73 | 16 | 21.92% | 64 | 13 | 79.69% | 1 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 56.8% | 9.5% | 92.0% | 101.5 | LUCKY | |
| _Since Last GM Reset | 25 | 15 | 6 | 0 | 3 | 0 | 1 | 0 | 83 | 62 | 21 | 38 | 0.760 | 83 | 145 | 228 | 0 | 1 | 23 | 37 | 19 | 5 | 853 | 273 | 284 | 283 | 16 | 806 | 182 | 216 | 628 | 95 | 20 | 21.05% | 88 | 17 | 80.68% | 1 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 58.3% | 9.7% | 92.3% | 102.0 | LUCKY | |
| Total | 25 | 15 | 6 | 0 | 3 | 0 | 1 | 0 | 83 | 62 | 21 | 38 | 0.760 | 83 | 145 | 228 | 0 | 1 | 23 | 37 | 19 | 5 | 853 | 273 | 284 | 283 | 16 | 806 | 182 | 216 | 628 | 95 | 20 | 21.05% | 88 | 17 | 80.68% | 1 | 425 | 901 | 47.17% | 449 | 867 | 51.79% | 211 | 405 | 52.10% | 596 | 403 | 578 | 194 | 335 | 168 | 58.3% | 9.7% | 92.3% | 102.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 901 |
| Neutral Zone Start | 405 |
| Defensive Zone Start | 867 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1085 |
| Faceoffs Lost | 1088 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.9 | 9.57 |
| 2nd Period | 22.3 | 20.31 |
| 3rd Period | 33.6 | 30.68 |
| Overtime | 34.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 3.2 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 62 |
|---|---|
| PP Goal | 20 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 9 |
| Lost | 2 | 4 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 95 |
|---|---|
| PP Goal | 20 |
| PK Attempt | 88 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 34.1 |
| Shots Against | 32.2 |
| Goals For | 3.3 |
| Goals Against | 2.5 |
| Hits | 25.1 |
| Shots Blocked | 7.3 |
| Pim | 8.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Stars4,Wild2 | RECAP | |||||||||||
| 2025-10-10 | @ | Wild4,Moose1 | RECAP | |||||||||||
| 2025-10-11 | @ | Wild2,IceHogs4 | RECAP | |||||||||||
| 2025-10-14 | @ | Wild4,Wolves1 | RECAP | |||||||||||
| 2025-10-16 | @ | Eagles4,Wild5 (OT) | RECAP | |||||||||||
| 2025-10-18 | @ | Wild2,Firebirds5 | RECAP | |||||||||||
| 2025-10-20 | @ | Admirals2,Wild3 (OT) | RECAP | |||||||||||
| 2025-10-22 | @ | Wild5,IceHogs3 | RECAP | |||||||||||
| 2025-10-24 | @ | Moose1,Wild2 (OT) | RECAP | |||||||||||
| 2025-10-26 | @ | Wild3,Firebirds5 | RECAP | |||||||||||
| 2025-10-28 | @ | Eagles3,Wild4 | RECAP | |||||||||||
| 2025-10-30 | @ | Wild4,Moose2 | RECAP | |||||||||||
| 2025-11-01 | @ | IceHogs2,Wild4 | RECAP | |||||||||||
| 2025-11-05 | @ | Wolves3,Wild4 | RECAP | |||||||||||
| 2025-11-10 | @ | Wild5,Rocket1 | RECAP | |||||||||||
| 2025-11-12 | @ | Wranglers1,Wild4 | RECAP | |||||||||||
| 2025-11-15 | @ | Wild2,Firebirds3 | RECAP | |||||||||||
| 2025-11-16 | @ | Barracuda0,Wild1 | RECAP | |||||||||||
| 2025-11-19 | @ | Wild4,Admirals2 | RECAP | |||||||||||
| 2025-11-20 | @ | Marlies3,Wild1 | RECAP | |||||||||||
| 2025-11-23 | @ | Wild4,Americans2 | RECAP | |||||||||||
| 2025-11-26 | @ | Wild3,Reign2 | RECAP | |||||||||||
| 2025-11-29 | @ | Americans2,Wild3 | RECAP | |||||||||||
| 2025-12-01 | @ | Wild4,Comets3 | RECAP | |||||||||||
| 2025-12-03 | @ | Phantoms3,Wild4 (SO) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,920,417$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Iowa | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 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 |
| 24 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,920,417$ | 1,920,417$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 798,737$ | 10,669$ | 637,616$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 134 | 13,447$ | 1,640,534$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,640,534$ | 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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