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Full Scoreboard »» |
| Iowa Wild 30-15-2, 62pts · 3rd 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 | 97.00 | 69 | 39 | 76 | 57 | 72 | 71 | 70 | 68 | 43 | 59 | 62 | 72 | 61 | 77 | 75 | 0 | 69 | 73 | 33 | 800,000$/2yrs | |||
Rory Kerins (R) | 0 | C | 100.00 | 62 | 38 | 88 | 65 | 66 | 70 | 87 | 63 | 65 | 63 | 66 | 61 | 65 | 59 | 58 | 0 | 73 | 73 | 23 | 850,000$/3yrs | |||
Brett Seney | 0 | C/LW | 100.00 | 78 | 39 | 62 | 60 | 60 | 70 | 86 | 64 | 75 | 66 | 57 | 68 | 62 | 70 | 66 | 0 | 69 | 72 | 29 | 800,000$/2yrs | |||
Curtis McKenzie | 11 | LW | 100.00 | 79 | 42 | 59 | 53 | 81 | 68 | 88 | 70 | 77 | 56 | 56 | 73 | 56 | 79 | 75 | 0 | 70 | 72 | 34 | 800,000$/2yrs | |||
Walker Duehr | 0 | RW | 99.00 | 80 | 33 | 99 | 55 | 83 | 69 | 70 | 51 | 56 | 54 | 59 | 61 | 55 | 72 | 71 | 0 | 72 | 69 | 28 | 800,000$/2yrs | |||
Alexander Holtz | 0 | LW/RW | 99.00 | 63 | 33 | 91 | 59 | 76 | 74 | 79 | 55 | 57 | 60 | 59 | 51 | 57 | 64 | 63 | 0 | 72 | 69 | 24 | 950,000$/2yrs | |||
Philippe Daoust | 0 | C | 100.00 | 63 | 38 | 86 | 59 | 71 | 66 | 85 | 60 | 67 | 62 | 56 | 63 | 59 | 61 | 60 | 0 | 72 | 69 | 24 | 775,000$/1yrs | |||
Henry Rybinski | 0 | RW | 100.00 | 63 | 38 | 85 | 59 | 69 | 66 | 85 | 60 | 70 | 62 | 55 | 63 | 59 | 61 | 60 | 0 | 26 | 69 | 24 | 800,000$/3yrs | |||
Jake Wise (R) | 0 | C | 100.00 | 61 | 38 | 89 | 58 | 72 | 66 | 83 | 61 | 73 | 58 | 58 | 64 | 58 | 63 | 62 | 0 | 64 | 69 | 25 | 800,000$/1yrs | |||
Xavier Bourgeault (R) | 0 | RW | 99.00 | 64 | 38 | 88 | 65 | 68 | 70 | 84 | 62 | 46 | 57 | 55 | 62 | 64 | 59 | 58 | 0 | 72 | 69 | 23 | 900,000$/3yrs | |||
Josh Bloom (R) | 0 | LW | 100.00 | 58 | 38 | 95 | 52 | 74 | 61 | 65 | 61 | 38 | 53 | 50 | 64 | 51 | 61 | 60 | 0 | 72 | 66 | 22 | 836,667$/1yrs | |||
Owen Lindmark (R) | 0 | C | 99.00 | 57 | 38 | 95 | 52 | 76 | 61 | 69 | 61 | 64 | 52 | 50 | 64 | 51 | 61 | 60 | 0 | 72 | 65 | 24 | 775,000$/1yrs | |||
Wyatt Aamodt | 0 | D | 99.00 | 69 | 40 | 76 | 51 | 78 | 65 | 88 | 49 | 30 | 56 | 52 | 68 | 54 | 68 | 66 | 0 | 72 | 68 | 28 | 775,000$/1yrs | |||
Evan Nause (R) | 0 | D | 99.00 | 70 | 40 | 76 | 61 | 75 | 66 | 60 | 56 | 30 | 55 | 48 | 62 | 59 | 56 | 53 | 0 | 71 | 68 | 23 | 864,167$/1yrs | |||
Nikita Novikov (R) | 0 | D | 99.00 | 73 | 41 | 69 | 50 | 81 | 63 | 89 | 49 | 30 | 56 | 53 | 62 | 55 | 57 | 54 | 0 | 76 | 66 | 22 | 867,500$/1yrs | |||
Ryan O'Rourke (R) | 0 | D | 100.00 | 69 | 39 | 75 | 49 | 72 | 62 | 81 | 48 | 30 | 55 | 51 | 63 | 53 | 59 | 57 | 0 | 59 | 65 | 23 | 850,000$/3yrs | |||
Daniil Chayka (R) | 0 | D | 100.00 | 64 | 40 | 85 | 47 | 82 | 62 | 65 | 47 | 30 | 52 | 50 | 65 | 51 | 63 | 61 | 0 | 42 | 65 | 23 | 825,000$/1yrs | |||
Christoffer Sedoff (R) | 0 | D | 100.00 | 65 | 39 | 83 | 49 | 77 | 62 | 84 | 48 | 30 | 55 | 52 | 63 | 53 | 59 | 57 | 0 | 60 | 65 | 23 | 870,000$/1yrs | |||
Charles-Alexis Legault (R) | 0 | D | 100.00 | 74 | 41 | 67 | 49 | 84 | 62 | 81 | 48 | 30 | 55 | 52 | 62 | 53 | 57 | 54 | 0 | 60 | 65 | 22 | 915,833$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Chase de Leo | 0 | C | 100.00 | 56 | 37 | 97 | 55 | 69 | 67 | 73 | 66 | 77 | 58 | 56 | 69 | 57 | 72 | 71 | 0 | 20 | 70 | 30 | 800,000$/1yrs | |||
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$/1yrs | |||
Grigori Denisenko | 0 | LW/RW | 100.00 | 78 | 41 | 60 | 59 | 71 | 67 | 81 | 61 | 38 | 60 | 59 | 64 | 59 | 63 | 59 | 0 | 20 | 70 | 25 | 800,000$/2yrs | |||
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$/3yrs | |||
Anttoni Honka (R) | 0 | D | 100.00 | 61 | 38 | 89 | 51 | 70 | 63 | 77 | 49 | 30 | 57 | 49 | 65 | 53 | 63 | 61 | 0 | 20 | 67 | 25 | 800,000$/2yrs | |||
Rodwin Dionicio (R) | 0 | D | 100.00 | 90 | 43 | 50 | 51 | 78 | 63 | 71 | 50 | 30 | 55 | 57 | 61 | 56 | 56 | 51 | 0 | 20 | 66 | 21 | 950,000$/2yrs | |||
Noah Chadwick (R) | 0 | D | 100.00 | 65 | 40 | 82 | 50 | 85 | 61 | 72 | 49 | 30 | 55 | 51 | 60 | 53 | 54 | 52 | 0 | 29 | 65 | 20 | ||||
Roman Schmidt (R) | 0 | D | 100.00 | 93 | 45 | 50 | 46 | 89 | 60 | 81 | 46 | 30 | 51 | 52 | 62 | 51 | 57 | 52 | 0 | 20 | 64 | 22 | 800,000$/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 | 96.00 | 70 | 70 | 68 | 90 | 56 | 76 | 70 | 70 | 76 | 75 | 72 | 64 | 64 | 0 | 71 | 76 | 25 | 800,000$/2yrs |
Ivan Prosvetov | 50 | 100.00 | 68 | 60 | 67 | 82 | 62 | 75 | 69 | 68 | 75 | 74 | 70 | 65 | 64 | 0 | 80 | 74 | 26 | 950,000$/1yrs |
| 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 | Max McCormick | LW | 47 | 15 | 25 | 40 | 0 | 47 | 5 | 143 | 203 | 65 | 130 | 7.39% | 15 | 20.03 | 0 | 2 | 2 | 62 | 0 | 0 | 0 | 65 | 2 | 2 | 54.26% | 94 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
| 2 | Curtis McKenzie | LW | 47 | 20 | 14 | 34 | 3 | 37 | 5 | 66 | 168 | 43 | 107 | 11.90% | 7 | 15.05 | 6 | 6 | 12 | 130 | 0 | 0 | 0 | 10 | 9 | 0 | 52.08% | 48 | 0 | 0 | 0 | 1 | 0.96 | 0 | 0 | ||
| 3 | Xavier Bourgeault | RW | 47 | 11 | 23 | 34 | 8 | 20 | 0 | 61 | 146 | 39 | 111 | 7.53% | 6 | 18.71 | 3 | 7 | 10 | 147 | 0 | 0 | 0 | 55 | 3 | 0 | 45.20% | 177 | 0 | 0 | 0 | 0 | 0.77 | 0 | 3 | ||
| 4 | Philippe Daoust | C | 47 | 13 | 18 | 31 | 8 | 8 | 0 | 35 | 100 | 32 | 91 | 13.00% | 7 | 16.79 | 5 | 3 | 8 | 128 | 0 | 0 | 0 | 4 | 1 | 2 | 53.52% | 1009 | 0 | 0 | 0 | 0 | 0.79 | 1 | 1 | ||
| 5 | Rory Kerins | C | 47 | 15 | 13 | 28 | -2 | 17 | 5 | 22 | 141 | 30 | 91 | 10.64% | 9 | 14.45 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 51.59% | 878 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
| 6 | Brett Seney | C/LW | 47 | 6 | 21 | 27 | 3 | 20 | 0 | 67 | 102 | 28 | 71 | 5.88% | 7 | 13.47 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 28 | 1 | 0 | 45.19% | 697 | 0 | 0 | 0 | 1 | 0.85 | 0 | 0 | ||
| 7 | Evan Nause | D | 47 | 3 | 23 | 26 | 8 | 26 | 0 | 77 | 46 | 22 | 33 | 6.52% | 50 | 23.62 | 2 | 5 | 7 | 148 | 0 | 0 | 0 | 126 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 8 | Alexander Holtz | LW/RW | 47 | 6 | 19 | 25 | 4 | 8 | 0 | 44 | 109 | 27 | 80 | 5.50% | 2 | 22.34 | 1 | 7 | 8 | 147 | 1 | 0 | 1 | 157 | 0 | 1 | 48.00% | 100 | 0 | 0 | 1 | 0 | 0.48 | 2 | 3 | ||
| 9 | Wyatt Aamodt | D | 47 | 8 | 13 | 21 | 7 | 20 | 0 | 69 | 47 | 16 | 51 | 17.02% | 69 | 22.63 | 3 | 3 | 6 | 146 | 0 | 0 | 0 | 99 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 10 | Owen Lindmark | C | 47 | 9 | 8 | 17 | 9 | 6 | 0 | 21 | 80 | 15 | 40 | 11.25% | 9 | 13.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 4 | 1 | 52.17% | 460 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 11 | Nikita Novikov | D | 47 | 5 | 7 | 12 | 0 | 58 | 20 | 95 | 43 | 15 | 18 | 11.63% | 39 | 20.78 | 4 | 3 | 7 | 125 | 0 | 0 | 0 | 111 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 12 | Walker Duehr | RW | 47 | 4 | 7 | 11 | 5 | 4 | 0 | 27 | 66 | 16 | 34 | 6.06% | 7 | 10.80 | 1 | 1 | 2 | 68 | 0 | 0 | 0 | 61 | 2 | 0 | 50.62% | 162 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 13 | Charles-Alexis Legault | D | 46 | 0 | 9 | 9 | 8 | 43 | 5 | 89 | 19 | 3 | 14 | 0.00% | 38 | 16.85 | 0 | 2 | 2 | 41 | 0 | 1 | 1 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
| 14 | Daniil Chayka | D | 32 | 2 | 6 | 8 | -1 | 12 | 0 | 29 | 17 | 3 | 11 | 11.76% | 25 | 16.23 | 1 | 1 | 2 | 66 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 15 | Josh Bloom | LW | 47 | 4 | 4 | 8 | 2 | 0 | 0 | 8 | 32 | 10 | 22 | 12.50% | 0 | 6.63 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 68.75% | 16 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 16 | Christoffer Sedoff | D | 46 | 0 | 7 | 7 | 12 | 14 | 0 | 68 | 23 | 8 | 13 | 0.00% | 50 | 17.22 | 0 | 1 | 1 | 30 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
| 17 | Ryan O'Rourke | D | 38 | 0 | 4 | 4 | -3 | 18 | 0 | 44 | 12 | 3 | 2 | 0.00% | 26 | 10.52 | 0 | 1 | 1 | 18 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
| 18 | Henry Rybinski | RW | 20 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 0 | 0.59 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.70 | 0 | 0 | ||
| 19 | Jake Wise | C | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 835 | 121 | 222 | 343 | 70 | 358 | 40 | 965 | 1356 | 376 | 919 | 8.92% | 366 | 15.30 | 26 | 43 | 69 | 1290 | 1 | 1 | 2 | 1008 | 26 | 10 | 50.65% | 3643 | 0 | 0 | 1 | 2 | 0.54 | 3 | 7 |
| 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 | 21 | 15 | 4 | 0 | 0.932 | 2.23 | 1209 | 2 | 1 | 45 | 658 | 0 | 0 | 0 | 0.667 | 3 | 19 | 28 | 3 | 0 | 0 | |
| 2 | Magnus Chrona | 28 | 15 | 11 | 2 | 0.910 | 2.91 | 1628 | 0 | 1 | 79 | 874 | 0 | 1 | 1 | 0.200 | 5 | 28 | 19 | 2 | 4 | 3 | |
| Team Total or Average | 49 | 30 | 15 | 2 | 0.919 | 2.62 | 2837 | 2 | 2 | 124 | 1532 | 0 | 1 | 1 | 0.375 | 8 | 47 | 47 | 5 | 4 | 3 |
| 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 | 24 | 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 | |||||
| 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 | 23 | 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 | ||||||
| Noah Chadwick | D | 20 | 0$ | 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 | 43 | 57 | 38 | 8 | 39 | 491 | 527 | 538 | 26 | 23 | 6 | 2 | 26 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 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 | 43 | 57 | 38 | 8 | 40 | 491 | 527 | 538 | 26 | 37 | 11 | 6 | 23 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 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 | 43 | 57 | 38 | 8 | 28 | 491 | 527 | 538 | 26 | 33 | 6 | 17 | 33 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 50.0% | 14.3% | 90.9% | 105.2 | FUN | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 43 | 57 | 38 | 8 | 34 | 491 | 527 | 538 | 26 | 25 | 7 | 8 | 25 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 80.0% | 11.8% | 96.0% | 107.8 | LUCKY | |
| 5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 43 | 57 | 38 | 8 | 94 | 491 | 527 | 538 | 26 | 109 | 27 | 42 | 80 | 13 | 5 | 38.46% | 19 | 3 | 84.21% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 44.4% | 9.6% | 92.7% | 102.2 | LUCKY | |
| 6 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 11 | 4 | 8 | 1.000 | 15 | 28 | 43 | 0 | 0 | 43 | 57 | 38 | 8 | 166 | 491 | 527 | 538 | 26 | 142 | 26 | 38 | 75 | 9 | 3 | 33.33% | 14 | 4 | 71.43% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 63.2% | 9.0% | 92.3% | 101.3 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 43 | 57 | 38 | 8 | 28 | 491 | 527 | 538 | 26 | 38 | 14 | 14 | 29 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 100.0% | 17.9% | 97.4% | 115.2 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 43 | 57 | 38 | 8 | 46 | 491 | 527 | 538 | 26 | 23 | 7 | 4 | 22 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 100.0% | 6.5% | 100.0% | 106.5 | DULL | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 43 | 57 | 38 | 8 | 19 | 491 | 527 | 538 | 26 | 45 | 5 | 18 | 27 | 1 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 100.0% | 5.3% | 93.3% | 98.6 | DULL | |
| 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 43 | 57 | 38 | 8 | 72 | 491 | 527 | 538 | 26 | 81 | 17 | 14 | 47 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 60.0% | 11.1% | 95.1% | 106.2 | LUCKY | |
| 11 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 43 | 57 | 38 | 8 | 119 | 491 | 527 | 538 | 26 | 85 | 20 | 26 | 71 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 1 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 64.3% | 8.4% | 92.9% | 101.3 | DULL | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 43 | 57 | 38 | 8 | 33 | 491 | 527 | 538 | 26 | 37 | 14 | 6 | 17 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 50.0% | 12.1% | 91.9% | 104.0 | LUCKY | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 43 | 57 | 38 | 8 | 26 | 491 | 527 | 538 | 26 | 30 | 6 | 0 | 14 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky | |
| 14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 43 | 57 | 38 | 8 | 66 | 491 | 527 | 538 | 26 | 50 | 20 | 12 | 39 | 10 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 40.0% | 6.1% | 86.0% | 92.1 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 43 | 57 | 38 | 8 | 31 | 491 | 527 | 538 | 26 | 39 | 15 | 8 | 25 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 66.7% | 12.9% | 94.9% | 107.8 | LUCKY | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 43 | 57 | 38 | 8 | 75 | 491 | 527 | 538 | 26 | 54 | 12 | 12 | 57 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 71.4% | 9.3% | 92.6% | 101.9 | LUCKY | |
| 17 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 15 | -1 | 4 | 0.500 | 14 | 25 | 39 | 0 | 0 | 43 | 57 | 38 | 8 | 101 | 491 | 527 | 538 | 26 | 139 | 48 | 29 | 98 | 15 | 3 | 20.00% | 12 | 3 | 75.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 47.8% | 13.9% | 89.2% | 103.1 | FUN | |
| 18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 43 | 57 | 38 | 8 | 28 | 491 | 527 | 538 | 26 | 23 | 6 | 8 | 17 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 66.7% | 7.1% | 95.7% | 102.8 | DULL | |
| 19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 43 | 57 | 38 | 8 | 28 | 491 | 527 | 538 | 26 | 43 | 10 | 6 | 25 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 33.3% | 3.6% | 95.3% | 98.9 | DULL | |
| 20 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 15 | 15 | 0 | 6 | 0.600 | 15 | 27 | 42 | 0 | 0 | 43 | 57 | 38 | 8 | 158 | 491 | 527 | 538 | 26 | 153 | 28 | 34 | 119 | 23 | 3 | 13.04% | 17 | 5 | 70.59% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 54.5% | 9.5% | 90.2% | 99.7 | FUN | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 43 | 57 | 38 | 8 | 34 | 491 | 527 | 538 | 26 | 26 | 5 | 4 | 28 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 60.0% | 8.8% | 92.3% | 101.1 | DULL | |
| 22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 43 | 57 | 38 | 8 | 28 | 491 | 527 | 538 | 26 | 38 | 12 | 4 | 21 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 50.0% | 7.1% | 89.5% | 96.6 | Unlucky | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 43 | 57 | 38 | 8 | 29 | 491 | 527 | 538 | 26 | 45 | 10 | 8 | 27 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 25.0% | 3.4% | 93.3% | 96.8 | DULL | |
| 24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 43 | 57 | 38 | 8 | 37 | 491 | 527 | 538 | 26 | 25 | 6 | 12 | 22 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 100.0% | 8.1% | 96.0% | 104.1 | DULL | |
| 25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 43 | 57 | 38 | 8 | 34 | 491 | 527 | 538 | 26 | 30 | 5 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 100.0% | 2.9% | 100.0% | 102.9 | DULL | |
| 26 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 43 | 57 | 38 | 8 | 46 | 491 | 527 | 538 | 26 | 30 | 9 | 6 | 21 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 44.4% | 10.9% | 80.0% | 90.9 | FUN | |
| 27 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 17 | -7 | 0 | 0.000 | 10 | 16 | 26 | 0 | 0 | 43 | 57 | 38 | 8 | 134 | 491 | 527 | 538 | 26 | 130 | 29 | 49 | 94 | 14 | 4 | 28.57% | 15 | 1 | 93.33% | 0 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 27.3% | 7.5% | 86.9% | 94.4 | Unlucky | |
| _Vs Division | 20 | 10 | 10 | 0 | 4 | 0 | 0 | 0 | 60 | 62 | -2 | 28 | 0.700 | 60 | 104 | 164 | 1 | 0 | 43 | 57 | 38 | 8 | 664 | 491 | 527 | 538 | 26 | 637 | 160 | 143 | 437 | 73 | 10 | 13.70% | 59 | 16 | 72.88% | 1 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 52.1% | 9.0% | 90.3% | 99.3 | FUN | |
| _Vs Conference | 33 | 15 | 13 | 0 | 4 | 0 | 0 | 1 | 101 | 99 | 2 | 39 | 0.591 | 101 | 176 | 277 | 1 | 1 | 43 | 57 | 38 | 8 | 1110 | 491 | 527 | 538 | 26 | 1081 | 257 | 284 | 772 | 120 | 23 | 19.17% | 115 | 25 | 78.26% | 1 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 51.3% | 9.1% | 90.8% | 99.9 | FUN | |
| _Since Last GM Reset | 47 | 25 | 15 | 0 | 4 | 0 | 1 | 2 | 143 | 127 | 16 | 62 | 0.660 | 143 | 251 | 394 | 1 | 2 | 43 | 57 | 38 | 8 | 1573 | 491 | 527 | 538 | 26 | 1533 | 381 | 393 | 1108 | 173 | 31 | 17.92% | 163 | 31 | 80.98% | 1 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 53.8% | 9.1% | 91.7% | 100.8 | LUCKY | |
| Total | 47 | 25 | 15 | 0 | 4 | 0 | 1 | 2 | 143 | 127 | 16 | 62 | 0.660 | 143 | 251 | 394 | 1 | 2 | 43 | 57 | 38 | 8 | 1573 | 491 | 527 | 538 | 26 | 1533 | 381 | 393 | 1108 | 173 | 31 | 17.92% | 163 | 31 | 80.98% | 1 | 829 | 1686 | 49.17% | 844 | 1635 | 51.62% | 380 | 740 | 51.35% | 1122 | 755 | 1091 | 364 | 627 | 314 | 53.8% | 9.1% | 91.7% | 100.8 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1686 |
| Neutral Zone Start | 740 |
| Defensive Zone Start | 1635 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2053 |
| Faceoffs Lost | 2008 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.4 | 9.57 |
| 2nd Period | 21.7 | 20.31 |
| 3rd Period | 33.1 | 30.68 |
| Overtime | 33.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 110 |
|---|---|
| PP Goal | 31 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 16 | 14 |
| Lost | 7 | 8 |
| Overtime Lost | 0 | 2 |
| PP Attempt | 173 |
|---|---|
| PP Goal | 31 |
| PK Attempt | 163 |
| PK Goal Against | 31 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 32.6 |
| Goals For | 3.0 |
| Goals Against | 2.7 |
| Hits | 23.6 |
| Shots Blocked | 8.1 |
| Pim | 8.4 |
| 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 | |||||||||||
| 2025-12-05 | @ | Wild3,Gulls2 | RECAP | |||||||||||
| 2025-12-07 | @ | Wolves4,Wild1 | RECAP | |||||||||||
| 2025-12-12 | @ | Wild1,Monsters2 (SO) | RECAP | |||||||||||
| 2025-12-13 | @ | Firebirds4,Wild3 | RECAP | |||||||||||
| 2025-12-17 | @ | Reign2,Wild5 | RECAP | |||||||||||
| 2025-12-21 | @ | Wild4,Bruins2 | RECAP | |||||||||||
| 2025-12-22 | @ | Eagles2,Wild3 | RECAP | |||||||||||
| 2025-12-26 | @ | Roadrunners4,Wild2 | RECAP | |||||||||||
| 2025-12-28 | @ | Wild3,Eagles2 | RECAP | |||||||||||
| 2025-12-30 | @ | Wild5,Silver Knights6 (SO) | RECAP | |||||||||||
| 2025-12-31 | @ | Checkers1,Wild2 | RECAP | |||||||||||
| 2026-01-03 | @ | Wild3,Admirals2 (OT) | RECAP | |||||||||||
| 2026-01-05 | @ | Islanders1,Wild4 | RECAP | |||||||||||
| 2026-01-08 | @ | Wild3,IceHogs6 | RECAP | |||||||||||
| 2026-01-10 | @ | Penguins1,Wild3 | RECAP | |||||||||||
| 2026-01-12 | @ | Wild3,Moose5 | RECAP | |||||||||||
| 2026-01-15 | @ | Canucks3,Wild1 | RECAP | |||||||||||
| 2026-01-18 | @ | Wild2,Roadrunners3 | RECAP | |||||||||||
| 2026-01-20 | @ | Moose6,Wild2 | RECAP | |||||||||||
| 2026-01-22 | @ | Wild3,Bears0 | RECAP | |||||||||||
| 2026-01-25 | @ | Crunch3,Wild4 | RECAP | |||||||||||
| 2026-01-27 | @ | Wild0,Thunderbirds4 | RECAP | |||||||||||
| 2026-01-30 | @ | |||||||||||||
| 2026-02-01 | @ | |||||||||||||
| 2026-02-03 | @ | |||||||||||||
| 2026-02-04 | @ | |||||||||||||
| 2026-02-08 | @ | |||||||||||||
| 2026-02-10 | @ | |||||||||||||
| 2026-02-13 | @ | |||||||||||||
| 2026-02-18 | @ | |||||||||||||
| 2026-02-20 | @ | |||||||||||||
| 2026-02-22 | @ | |||||||||||||
| 2026-02-24 | @ | |||||||||||||
| 2026-02-26 | @ | |||||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
| 2026-03-05 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-14 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-16 | @ | |||||||||||||
| 2026-03-21 | @ | |||||||||||||
| 2026-03-24 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,840,417$ | 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 |
| 13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,840,417$ | 1,840,417$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,504,405$ | 10,225$ | 1,193,318$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 80 | 13,002$ | 884,136$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 884,136$ | 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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