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Full Scoreboard »» |
| Iowa Wild 8-4-0, 16pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Terry | 0 | LW/RW | 99.00 | 70 | 40 | 75 | 56 | 76 | 73 | 72 | 73 | 47 | 63 | 59 | 77 | 61 | 86 | 83 | 0 | 49 | 76 | 36 | 800,000$/2yrs | |||
Max McCormick | 0 | LW | 100.00 | 72 | 40 | 71 | 57 | 72 | 72 | 72 | 70 | 41 | 59 | 64 | 74 | 61 | 81 | 78 | 0 | 48 | 75 | 33 | 800,000$/2yrs | |||
Curtis McKenzie | 11 | LW | 100.00 | 74 | 41 | 68 | 53 | 81 | 70 | 70 | 71 | 40 | 59 | 57 | 75 | 58 | 82 | 79 | 0 | 48 | 73 | 34 | 800,000$/2yrs | |||
Cameron Hughes | 53 | C/LW | 99.00 | 72 | 40 | 72 | 58 | 72 | 70 | 73 | 66 | 45 | 61 | 61 | 70 | 61 | 74 | 71 | 0 | 48 | 73 | 29 | 800,000$/2yrs | |||
Brett Seney | 0 | C/LW | 100.00 | 74 | 39 | 68 | 58 | 63 | 70 | 71 | 66 | 48 | 62 | 58 | 70 | 60 | 74 | 70 | 0 | 48 | 72 | 29 | 800,000$/2yrs | |||
Alexander Holtz | 0 | LW/RW | 96.00 | 63 | 33 | 93 | 62 | 76 | 75 | 86 | 59 | 58 | 61 | 64 | 51 | 62 | 63 | 62 | 0 | 51 | 71 | 23 | 950,000$/2yrs | |||
Rory Kerins (R) | 0 | C | 100.00 | 59 | 38 | 92 | 61 | 73 | 68 | 74 | 61 | 60 | 59 | 63 | 64 | 61 | 63 | 62 | 0 | 51 | 71 | 23 | 850,000$/3yrs | |||
Walker Duehr | 0 | RW | 100.00 | 77 | 33 | 96 | 55 | 83 | 69 | 75 | 54 | 56 | 58 | 58 | 58 | 56 | 70 | 70 | 0 | 51 | 69 | 27 | 800,000$/2yrs | |||
Xavier Bourgeault (R) | 0 | RW | 100.00 | 64 | 38 | 88 | 65 | 68 | 70 | 84 | 62 | 46 | 57 | 55 | 62 | 64 | 59 | 58 | 0 | 51 | 69 | 23 | 900,000$/3yrs | |||
Philippe Daoust | 0 | C | 100.00 | 60 | 38 | 91 | 55 | 77 | 65 | 66 | 62 | 66 | 57 | 53 | 65 | 55 | 64 | 64 | 0 | 51 | 68 | 24 | 775,000$/1yrs | |||
Josh Bloom (R) | 0 | LW | 100.00 | 58 | 38 | 95 | 52 | 74 | 61 | 65 | 61 | 38 | 53 | 50 | 64 | 51 | 61 | 60 | 0 | 51 | 66 | 22 | 836,667$/1yrs | |||
Jake Wise (R) | 0 | C | 100.00 | 63 | 38 | 86 | 53 | 72 | 62 | 74 | 61 | 63 | 54 | 51 | 65 | 52 | 63 | 61 | 0 | 42 | 66 | 25 | 800,000$/1yrs | |||
Owen Lindmark (R) | 0 | C | 100.00 | 58 | 38 | 95 | 51 | 76 | 61 | 65 | 63 | 60 | 52 | 50 | 66 | 51 | 64 | 64 | 0 | 51 | 66 | 24 | 775,000$/1yrs | |||
Evan Nause (R) | 0 | D | 95.00 | 70 | 40 | 76 | 61 | 75 | 66 | 60 | 56 | 30 | 55 | 48 | 62 | 59 | 56 | 53 | 0 | 50 | 68 | 22 | 864,167$/1yrs | |||
Wyatt Aamodt | 0 | D | 99.00 | 70 | 40 | 74 | 48 | 78 | 65 | 67 | 48 | 30 | 54 | 52 | 70 | 53 | 71 | 69 | 0 | 51 | 67 | 27 | 775,000$/1yrs | |||
Christoffer Sedoff (R) | 0 | D | 97.19 | 64 | 40 | 84 | 49 | 83 | 63 | 66 | 48 | 30 | 54 | 51 | 65 | 53 | 63 | 61 | 0 | 39 | 66 | 23 | 870,000$/1yrs | |||
Nikita Novikov (R) | 0 | D | 100.00 | 69 | 41 | 76 | 50 | 84 | 63 | 67 | 49 | 30 | 56 | 52 | 64 | 54 | 61 | 58 | 0 | 52 | 66 | 22 | 867,500$/1yrs | |||
Charles-Alexis Legault (R) | 0 | D | 99.00 | 73 | 41 | 69 | 49 | 84 | 62 | 66 | 48 | 30 | 54 | 51 | 64 | 53 | 61 | 58 | 0 | 52 | 66 | 22 | 915,833$/2yrs | |||
Daniil Chayka (R) | 0 | D | 100.00 | 64 | 40 | 85 | 47 | 82 | 62 | 65 | 47 | 30 | 52 | 50 | 65 | 51 | 63 | 61 | 0 | 42 | 65 | 23 | 825,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Chase de Leo | 0 | C | 100.00 | 59 | 38 | 92 | 56 | 73 | 70 | 69 | 67 | 49 | 61 | 57 | 71 | 59 | 75 | 74 | 0 | 28 | 72 | 30 | 800,000$/1yrs | |||
Grigori Denisenko | 0 | LW/RW | 100.00 | 74 | 41 | 67 | 59 | 76 | 68 | 71 | 63 | 37 | 60 | 59 | 66 | 59 | 66 | 63 | 0 | 28 | 71 | 25 | 800,000$/2yrs | |||
Marian Studenic | 0 | LW/RW | 100.00 | 62 | 38 | 87 | 58 | 72 | 67 | 88 | 63 | 42 | 59 | 59 | 66 | 59 | 66 | 65 | 0 | 28 | 70 | 27 | 1,250,000$/1yrs | |||
Henri Nikkanen (R) | 0 | C | 100.00 | 60 | 40 | 92 | 53 | 88 | 63 | 66 | 62 | 67 | 53 | 53 | 66 | 53 | 64 | 64 | 0 | 28 | 67 | 24 | 800,000$/3yrs | |||
Henry Rybinski | 0 | RW | 100.00 | 62 | 38 | 87 | 52 | 69 | 61 | 83 | 61 | 70 | 52 | 50 | 64 | 51 | 61 | 59 | 0 | 28 | 65 | 24 | 800,000$/3yrs | |||
Anttoni Honka (R) | 0 | D | 100.00 | 61 | 38 | 89 | 51 | 70 | 63 | 77 | 49 | 30 | 57 | 49 | 65 | 53 | 63 | 61 | 0 | 28 | 67 | 25 | 800,000$/2yrs | |||
Rodwin Dionicio (R) | 0 | D | 100.00 | 90 | 43 | 50 | 51 | 78 | 63 | 66 | 49 | 30 | 54 | 56 | 63 | 55 | 59 | 54 | 0 | 28 | 66 | 21 | 950,000$/2yrs | |||
Ryan O'Rourke (R) | 0 | D | 100.00 | 71 | 40 | 72 | 48 | 76 | 62 | 66 | 47 | 30 | 53 | 51 | 65 | 52 | 63 | 60 | 0 | 40 | 65 | 23 | 850,000$/3yrs | |||
Roman Schmidt (R) | 0 | D | 100.00 | 87 | 44 | 50 | 47 | 89 | 61 | 66 | 46 | 30 | 51 | 52 | 64 | 52 | 61 | 56 | 0 | 28 | 64 | 22 | 800,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ivan Prosvetov | 50 | 98.00 | 75 | 64 | 67 | 82 | 73 | 64 | 75 | 84 | 69 | 82 | 75 | 69 | 72 | 0 | 52 | 77 | 26 | 950,000$/1yrs |
Magnus Chrona | 0 | 96.00 | 60 | 63 | 66 | 81 | 54 | 61 | 61 | 70 | 61 | 70 | 61 | 65 | 68 | 0 | 53 | 69 | 25 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
| 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 | Chris Terry | LW/RW | 12 | 3 | 12 | 15 | -1 | 7 | 5 | 22 | 55 | 13 | 39 | 5.45% | 1 | 20.20 | 1 | 5 | 6 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 26 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 | ||
| 2 | Philippe Daoust | C | 12 | 3 | 8 | 11 | 1 | 0 | 0 | 3 | 35 | 4 | 26 | 8.57% | 1 | 17.00 | 2 | 1 | 3 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 56.49% | 262 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
| 3 | Cameron Hughes | C/LW | 12 | 5 | 5 | 10 | 1 | 6 | 0 | 30 | 48 | 13 | 36 | 10.42% | 3 | 19.68 | 2 | 3 | 5 | 25 | 0 | 0 | 0 | 38 | 1 | 2 | 44.53% | 128 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
| 4 | Xavier Bourgeault | RW | 12 | 2 | 8 | 10 | 1 | 4 | 0 | 12 | 35 | 17 | 24 | 5.71% | 0 | 17.24 | 0 | 3 | 3 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 39.13% | 23 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | ||
| 5 | Curtis McKenzie | LW | 12 | 4 | 5 | 9 | -3 | 4 | 0 | 14 | 43 | 10 | 22 | 9.30% | 0 | 13.17 | 1 | 3 | 4 | 34 | 0 | 0 | 0 | 1 | 3 | 0 | 57.14% | 14 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | ||
| 6 | Alexander Holtz | LW/RW | 12 | 2 | 7 | 9 | 2 | 0 | 0 | 8 | 21 | 9 | 24 | 9.52% | 0 | 22.82 | 1 | 3 | 4 | 32 | 0 | 0 | 0 | 39 | 0 | 1 | 44.44% | 27 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 7 | Max McCormick | LW | 12 | 4 | 4 | 8 | 1 | 19 | 5 | 35 | 45 | 13 | 20 | 8.89% | 1 | 17.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 1 | 75.00% | 12 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 8 | Rory Kerins | C | 12 | 4 | 3 | 7 | 0 | 0 | 0 | 5 | 31 | 6 | 16 | 12.90% | 2 | 13.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 51.00% | 200 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
| 9 | Evan Nause | D | 12 | 3 | 3 | 6 | 2 | 8 | 0 | 21 | 13 | 6 | 8 | 23.08% | 12 | 23.45 | 2 | 0 | 2 | 35 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 10 | Brett Seney | C/LW | 12 | 2 | 3 | 5 | -4 | 0 | 0 | 16 | 12 | 7 | 11 | 16.67% | 2 | 11.18 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 36.81% | 144 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 11 | Wyatt Aamodt | D | 12 | 1 | 3 | 4 | 3 | 8 | 0 | 10 | 12 | 2 | 11 | 8.33% | 9 | 20.63 | 1 | 0 | 1 | 34 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 12 | Owen Lindmark | C | 12 | 2 | 2 | 4 | 3 | 0 | 0 | 4 | 17 | 6 | 3 | 11.76% | 2 | 9.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 1 | 0 | 59.23% | 130 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
| 13 | Charles-Alexis Legault | D | 12 | 0 | 3 | 3 | -2 | 19 | 5 | 23 | 2 | 1 | 3 | 0.00% | 10 | 18.03 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 14 | Walker Duehr | RW | 12 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 3 | 1 | 2 | 66.67% | 1 | 2.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 2 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 1.21 | 0 | 0 | ||
| 15 | Josh Bloom | LW | 12 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 7 | 0 | 6 | 14.29% | 0 | 7.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 16 | Christoffer Sedoff | D | 11 | 0 | 2 | 2 | 2 | 4 | 0 | 28 | 3 | 3 | 4 | 0.00% | 15 | 20.47 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
| 17 | Nikita Novikov | D | 12 | 1 | 1 | 2 | 4 | 17 | 5 | 34 | 11 | 3 | 3 | 9.09% | 17 | 20.12 | 1 | 1 | 2 | 29 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
| 18 | Daniil Chayka | D | 7 | 1 | 0 | 1 | -2 | 4 | 0 | 7 | 4 | 0 | 1 | 25.00% | 4 | 16.30 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
| 19 | Ryan O'Rourke | D | 6 | 0 | 0 | 0 | -3 | 2 | 0 | 7 | 2 | 3 | 1 | 0.00% | 7 | 17.38 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 20 | Jake Wise | C | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 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 | 223 | 40 | 70 | 110 | 8 | 102 | 20 | 280 | 399 | 117 | 260 | 10.03% | 87 | 15.68 | 11 | 20 | 31 | 330 | 0 | 0 | 0 | 266 | 8 | 5 | 50.66% | 981 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
| 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 | 6 | 4 | 2 | 0 | 0.919 | 2.65 | 362 | 2 | 0 | 16 | 198 | 0 | 0 | 0 | 0.000 | 0 | 6 | 6 | 1 | 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 | 6 | 0 | 0 | 0 | |
| Team Total or Average | 12 | 8 | 4 | 0 | 0.910 | 2.90 | 725 | 2 | 0 | 35 | 389 | 0 | 0 | 0 | 0.000 | 0 | 12 | 12 | 1 | 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 | ||||||
| Chris Terry | LW/RW | 36 | 800,000$ | 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 | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Wyatt Aamodt | D | 27 | 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 | 7 | 11 | 0 | 0 | 10 | 22 | 5 | 3 | 29 | 120 | 155 | 122 | 6 | 38 | 12 | 10 | 28 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 100.0% | 13.8% | 97.4% | 111.2 | LUCKY | |
| 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 10 | 22 | 5 | 3 | 91 | 120 | 155 | 122 | 6 | 74 | 10 | 22 | 48 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 58.3% | 9.9% | 90.5% | 100.4 | FUN | |
| 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 10 | 22 | 5 | 3 | 41 | 120 | 155 | 122 | 6 | 21 | 5 | 9 | 24 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 60.0% | 7.3% | 90.5% | 97.8 | Unlucky | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 10 | 22 | 5 | 3 | 50 | 120 | 155 | 122 | 6 | 60 | 21 | 14 | 63 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 45.5% | 14.0% | 88.3% | 102.3 | FUN | |
| 5 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 10 | 22 | 5 | 3 | 107 | 120 | 155 | 122 | 6 | 79 | 12 | 20 | 55 | 18 | 2 | 11.11% | 10 | 3 | 70.00% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 88.9% | 9.3% | 94.9% | 104.3 | LUCKY | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 10 | 22 | 5 | 3 | 28 | 120 | 155 | 122 | 6 | 38 | 12 | 4 | 21 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 50.0% | 7.1% | 89.5% | 96.6 | Unlucky | |
| 7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 10 | 22 | 5 | 3 | 57 | 120 | 155 | 122 | 6 | 79 | 16 | 25 | 41 | 5 | 3 | 60.00% | 9 | 0 | 100.00% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 16.7% | 8.8% | 87.3% | 96.1 | Unlucky | |
| _Vs Division | 9 | 5 | 4 | 0 | 3 | 0 | 0 | 0 | 31 | 24 | 7 | 16 | 0.889 | 31 | 55 | 86 | 0 | 0 | 10 | 22 | 5 | 3 | 317 | 120 | 155 | 122 | 6 | 272 | 60 | 69 | 211 | 35 | 6 | 17.14% | 27 | 8 | 70.37% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 61.0% | 9.8% | 91.2% | 101.0 | LUCKY | |
| _Vs Conference | 12 | 5 | 4 | 0 | 3 | 0 | 0 | 0 | 40 | 35 | 5 | 16 | 0.667 | 40 | 70 | 110 | 0 | 0 | 10 | 22 | 5 | 3 | 403 | 120 | 155 | 122 | 6 | 389 | 88 | 104 | 280 | 44 | 11 | 25.00% | 41 | 9 | 78.05% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 52.7% | 9.9% | 91.0% | 100.9 | FUN | |
| _Since Last GM Reset | 12 | 5 | 4 | 0 | 3 | 0 | 0 | 0 | 40 | 35 | 5 | 16 | 0.667 | 40 | 70 | 110 | 0 | 0 | 10 | 22 | 5 | 3 | 403 | 120 | 155 | 122 | 6 | 389 | 88 | 104 | 280 | 44 | 11 | 25.00% | 41 | 9 | 78.05% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 52.7% | 9.9% | 91.0% | 100.9 | FUN | |
| Total | 12 | 5 | 4 | 0 | 3 | 0 | 0 | 0 | 40 | 35 | 5 | 16 | 0.667 | 40 | 70 | 110 | 0 | 0 | 10 | 22 | 5 | 3 | 403 | 120 | 155 | 122 | 6 | 389 | 88 | 104 | 280 | 44 | 11 | 25.00% | 41 | 9 | 78.05% | 0 | 206 | 413 | 49.88% | 207 | 404 | 51.24% | 106 | 203 | 52.22% | 288 | 197 | 277 | 91 | 159 | 80 | 52.7% | 9.9% | 91.0% | 100.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 413 |
| Neutral Zone Start | 203 |
| Defensive Zone Start | 404 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 519 |
| Faceoffs Lost | 501 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 22.9 | 20.31 |
| 3rd Period | 33.1 | 30.68 |
| Overtime | 33.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 2.7 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 29 |
|---|---|
| PP Goal | 11 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 4 | 4 |
| Lost | 1 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 44 |
|---|---|
| PP Goal | 11 |
| PK Attempt | 41 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 33.6 |
| Shots Against | 32.4 |
| Goals For | 3.3 |
| Goals Against | 2.9 |
| Hits | 23.3 |
| Shots Blocked | 7.3 |
| Pim | 8.7 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,000,417$ | 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 |
| 31 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,000,417$ | 2,000,417$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 316,827$ | 11,113$ | 252,936$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 169 | 13,891$ | 2,180,887$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,180,887$ | 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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