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Full Scoreboard »» |
| Calgary Wranglers 8-15-6, 22pts · 14th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dominic Toninato | 47 | C | 100.00 | 76 | 33 | 89 | 56 | 77 | 72 | 68 | 57 | 77 | 63 | 56 | 61 | 57 | 77 | 76 | 0 | 26 | 71 | 31 | 775,000$/1yrs | |||
Callahan Burke | 0 | RW | 100.00 | 62 | 38 | 88 | 56 | 69 | 67 | 87 | 63 | 68 | 57 | 57 | 67 | 57 | 68 | 67 | 0 | 27 | 70 | 28 | 800,000$/1yrs | |||
Lucas Condotta | 0 | LW | 100.00 | 74 | 41 | 68 | 53 | 85 | 66 | 67 | 66 | 44 | 57 | 53 | 69 | 55 | 72 | 68 | 0 | 27 | 70 | 28 | 875,000$/3yrs | |||
Parker Ford | 0 | C/RW | 100.00 | 72 | 40 | 72 | 57 | 70 | 66 | 71 | 63 | 44 | 56 | 59 | 66 | 57 | 66 | 63 | 0 | 27 | 70 | 25 | 875,000$/3yrs | |||
Cooper Gay | 0 | LW/RW | 100.00 | 61 | 40 | 86 | 59 | 91 | 67 | 88 | 58 | 49 | 56 | 61 | 65 | 58 | 63 | 61 | 0 | 27 | 70 | 23 | 872,500$/2yrs | |||
John Hayden | 47 | RW | 100.00 | 81 | 45 | 53 | 55 | 89 | 69 | 68 | 54 | 63 | 54 | 56 | 68 | 55 | 75 | 71 | 0 | 27 | 69 | 30 | 775,000$/1yrs | |||
Arnaud Durandeau | 0 | LW | 100.00 | 66 | 39 | 80 | 58 | 75 | 67 | 85 | 61 | 38 | 58 | 57 | 65 | 58 | 65 | 63 | 0 | 27 | 69 | 26 | 800,000$/1yrs | |||
Tyler Kopff | 0 | C/LW | 100.00 | 61 | 39 | 87 | 59 | 84 | 66 | 86 | 56 | 65 | 59 | 57 | 63 | 58 | 61 | 60 | 0 | 27 | 69 | 22 | 975,000$/1yrs | |||
Aatu Jamsen (R) | 0 | LW/RW | 100.00 | 63 | 38 | 85 | 55 | 71 | 63 | 66 | 61 | 42 | 53 | 56 | 65 | 54 | 63 | 61 | 0 | 27 | 67 | 23 | 852,500$/1yrs | |||
Kalle Vaisanen (R) | 0 | LW | 100.00 | 63 | 39 | 90 | 57 | 81 | 63 | 89 | 55 | 41 | 54 | 58 | 61 | 56 | 59 | 58 | 0 | 27 | 67 | 22 | 863,333$/2yrs | |||
Gleb Veremyev | 0 | C/LW | 100.00 | 88 | 42 | 54 | 56 | 84 | 64 | 89 | 53 | 72 | 54 | 56 | 64 | 55 | 61 | 56 | 0 | 27 | 67 | 22 | 885,000$/2yrs | |||
Kalan Lind (R) | 0 | LW | 100.00 | 92 | 41 | 50 | 57 | 66 | 63 | 79 | 53 | 50 | 55 | 56 | 61 | 56 | 57 | 52 | 0 | 25 | 66 | 20 | 806,666$/3yrs | |||
John Prokop | 0 | D | 99.00 | 66 | 39 | 81 | 55 | 78 | 67 | 89 | 55 | 30 | 58 | 56 | 68 | 57 | 65 | 63 | 0 | 27 | 70 | 24 | 875,000$/1yrs | |||
Mark Friedman | 0 | D | 100.00 | 73 | 41 | 62 | 55 | 71 | 77 | 69 | 53 | 30 | 54 | 50 | 64 | 52 | 74 | 70 | 0 | 27 | 68 | 29 | 775,000$/1yrs | |||
Wyatt Newpower | 20 | D | 100.00 | 85 | 43 | 50 | 49 | 85 | 64 | 66 | 48 | 30 | 54 | 51 | 70 | 53 | 71 | 66 | 0 | 30 | 67 | 28 | 800,000$/1yrs | |||
Caden Price (R) | 0 | D | 100.00 | 87 | 42 | 55 | 53 | 75 | 62 | 76 | 51 | 30 | 54 | 52 | 62 | 53 | 57 | 53 | 0 | 27 | 66 | 20 | 835,556$/3yrs | |||
Noah Warren (R) | 0 | D | 100.00 | 68 | 41 | 78 | 46 | 90 | 60 | 65 | 46 | 30 | 52 | 50 | 63 | 51 | 59 | 57 | 0 | 22 | 64 | 21 | 865,000$/2yrs | |||
Zach Berzolla | 0 | D | 100.00 | 72 | 40 | 71 | 44 | 78 | 59 | 69 | 42 | 30 | 45 | 49 | 67 | 47 | 66 | 63 | 0 | 20 | 62 | 27 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Brian Halonen | 0 | LW/RW | 95.00 | 69 | 40 | 76 | 59 | 79 | 68 | 73 | 63 | 36 | 55 | 65 | 67 | 60 | 68 | 66 | 0 | 27 | 71 | 26 | 900,000$/1yrs | |||
Anthony Angello | 17 | C | 100.00 | 72 | 42 | 71 | 52 | 91 | 66 | 67 | 67 | 74 | 55 | 54 | 71 | 54 | 73 | 70 | 0 | 20 | 70 | 29 | 775,000$/1yrs | |||
Will Lockwood | 0 | RW | 100.00 | 62 | 38 | 88 | 56 | 71 | 67 | 69 | 65 | 37 | 57 | 58 | 68 | 57 | 70 | 69 | 0 | 20 | 70 | 27 | 900,000$/3yrs | |||
Brendan Lemieux | 0 | LW/RW | 100.00 | 81 | 65 | 50 | 55 | 84 | 69 | 70 | 57 | 65 | 56 | 60 | 54 | 59 | 73 | 68 | 0 | 20 | 68 | 29 | 900,000$/1yrs | |||
Ben Jones | 0 | C | 100.00 | 79 | 52 | 86 | 55 | 73 | 69 | 69 | 51 | 30 | 50 | 50 | 58 | 50 | 68 | 66 | 0 | 20 | 65 | 26 | 800,000$/2yrs | |||
Gianni Fairbrother | 0 | D | 100.00 | 88 | 42 | 50 | 61 | 75 | 60 | 60 | 56 | 65 | 56 | 47 | 60 | 60 | 61 | 56 | 0 | 20 | 68 | 25 | 800,000$/1yrs | |||
Chris Jandric | 0 | D | 100.00 | 76 | 40 | 64 | 47 | 70 | 63 | 65 | 47 | 30 | 53 | 50 | 69 | 51 | 70 | 66 | 0 | 20 | 66 | 27 | 800,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Owen Say | 0 | 99.00 | 73 | 81 | 69 | 75 | 71 | 72 | 74 | 73 | 72 | 71 | 73 | 65 | 73 | 0 | 20 | 77 | 24 | 872,500$/1yrs |
Kevin Mandolese | 0 | 97.00 | 72 | 66 | 70 | 86 | 63 | 75 | 73 | 72 | 75 | 74 | 73 | 67 | 67 | 0 | 35 | 76 | 25 | 800,000$/1yrs |
| Scratches | ||||||||||||||||||||
Collin Delia | 0 | 100.00 | 67 | 71 | 67 | 80 | 66 | 74 | 71 | 67 | 74 | 70 | 71 | 77 | 78 | 0 | 26 | 75 | 31 | 775,000$/1yrs |
Dennis Hildeby | 0 | 100.00 | 60 | 62 | 66 | 93 | 58 | 60 | 60 | 63 | 60 | 64 | 60 | 63 | 66 | 0 | 28 | 69 | 24 | 900,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Luke Richardson | 88 | 75 | 72 | 90 | 74 | 70 | 61 | CAN | 57 | 4 | 1,000,000$ |
| 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 | Cooper Gay | LW/RW | 29 | 11 | 9 | 20 | -5 | 4 | 0 | 19 | 83 | 23 | 53 | 13.25% | 5 | 18.17 | 4 | 2 | 6 | 70 | 1 | 0 | 1 | 42 | 0 | 2 | 48.84% | 86 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
| 2 | Brian Halonen | LW/RW | 29 | 8 | 8 | 16 | -6 | 6 | 0 | 54 | 117 | 32 | 94 | 6.84% | 7 | 22.28 | 3 | 3 | 6 | 79 | 0 | 0 | 0 | 109 | 3 | 0 | 41.61% | 149 | 0 | 0 | 0 | 0 | 0.50 | 0 | 2 | ||
| 3 | Dominic Toninato | C | 24 | 1 | 14 | 15 | -7 | 4 | 0 | 53 | 52 | 19 | 41 | 1.92% | 5 | 20.54 | 0 | 1 | 1 | 69 | 0 | 0 | 0 | 49 | 0 | 0 | 61.24% | 663 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | ||
| 4 | Parker Ford | C/RW | 29 | 4 | 9 | 13 | -11 | 10 | 0 | 45 | 95 | 27 | 61 | 4.21% | 8 | 19.58 | 0 | 2 | 2 | 71 | 0 | 1 | 1 | 49 | 1 | 0 | 39.20% | 597 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 5 | Tyler Kopff | C/LW | 29 | 7 | 6 | 13 | 2 | 0 | 0 | 4 | 63 | 16 | 33 | 11.11% | 4 | 15.42 | 0 | 2 | 2 | 13 | 0 | 0 | 0 | 43 | 1 | 1 | 54.62% | 573 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | ||
| 6 | Lucas Condotta | LW | 29 | 6 | 5 | 11 | -13 | 10 | 0 | 40 | 72 | 26 | 46 | 8.33% | 13 | 18.04 | 0 | 0 | 0 | 64 | 0 | 0 | 0 | 38 | 0 | 0 | 46.81% | 47 | 0 | 0 | 0 | 0 | 0.42 | 1 | 1 | ||
| 7 | John Hayden | RW | 29 | 1 | 9 | 10 | -4 | 18 | 0 | 77 | 63 | 17 | 48 | 1.59% | 3 | 14.54 | 0 | 0 | 0 | 49 | 0 | 0 | 0 | 8 | 1 | 0 | 40.63% | 32 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 8 | Mark Friedman | D | 24 | 0 | 9 | 9 | -6 | 8 | 0 | 38 | 14 | 7 | 15 | 0.00% | 31 | 21.88 | 0 | 4 | 4 | 64 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 9 | Aatu Jamsen | LW/RW | 29 | 5 | 4 | 9 | -1 | 4 | 0 | 4 | 74 | 12 | 39 | 6.76% | 5 | 11.60 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 10 | Caden Price | D | 29 | 1 | 8 | 9 | 5 | 48 | 0 | 115 | 21 | 8 | 12 | 4.76% | 36 | 18.28 | 0 | 2 | 2 | 46 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 11 | Callahan Burke | RW | 24 | 6 | 2 | 8 | 1 | 4 | 0 | 5 | 36 | 8 | 32 | 16.67% | 1 | 9.92 | 1 | 1 | 2 | 36 | 0 | 0 | 0 | 15 | 1 | 0 | 63.64% | 22 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 12 | Gleb Veremyev | C/LW | 29 | 1 | 4 | 5 | 2 | 36 | 0 | 75 | 37 | 9 | 30 | 2.70% | 4 | 12.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 60.24% | 166 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 13 | John Prokop | D | 29 | 2 | 3 | 5 | -14 | 28 | 0 | 48 | 28 | 10 | 25 | 7.14% | 33 | 23.37 | 0 | 2 | 2 | 72 | 0 | 0 | 0 | 85 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
| 14 | Arnaud Durandeau | LW | 24 | 2 | 2 | 4 | 3 | 4 | 0 | 2 | 25 | 9 | 23 | 8.00% | 3 | 7.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 34.09% | 44 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 15 | Wyatt Newpower | D | 24 | 1 | 3 | 4 | -1 | 31 | 5 | 63 | 28 | 4 | 17 | 3.57% | 29 | 17.32 | 1 | 1 | 2 | 44 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
| 16 | Noah Warren | D | 23 | 0 | 3 | 3 | 3 | 10 | 0 | 28 | 9 | 2 | 5 | 0.00% | 24 | 16.61 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| 17 | Kalle Vaisanen | LW | 29 | 2 | 1 | 3 | -4 | 0 | 0 | 1 | 13 | 4 | 17 | 15.38% | 2 | 5.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 18 | Zach Berzolla | D | 14 | 0 | 2 | 2 | 5 | 8 | 0 | 15 | 3 | 2 | 2 | 0.00% | 22 | 16.62 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
| 19 | Kalan Lind | LW | 27 | 2 | 0 | 2 | -2 | 4 | 0 | 7 | 10 | 0 | 4 | 20.00% | 1 | 1.29 | 2 | 0 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 37.04% | 27 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | ||
| 20 | Ben Jones | C | 10 | 0 | 0 | 0 | -3 | 7 | 5 | 5 | 5 | 0 | 2 | 0.00% | 0 | 6.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 32.88% | 73 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 513 | 60 | 101 | 161 | -56 | 244 | 10 | 698 | 848 | 235 | 599 | 7.08% | 236 | 15.14 | 12 | 20 | 32 | 701 | 1 | 1 | 2 | 702 | 7 | 4 | 50.52% | 2508 | 0 | 0 | 0 | 0 | 0.41 | 1 | 5 |
| 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 | Kevin Mandolese | 13 | 4 | 4 | 4 | 0.936 | 2.26 | 769 | 0 | 1 | 29 | 455 | 0 | 1 | 0 | 0.500 | 8 | 12 | 12 | 3 | 2 | 1 | |
| 2 | Owen Say | 17 | 4 | 11 | 2 | 0.904 | 3.26 | 940 | 0 | 1 | 51 | 534 | 0 | 1 | 1 | 0.000 | 0 | 17 | 8 | 2 | 2 | 0 | |
| 3 | Dennis Hildeby | 2 | 0 | 0 | 0 | 0.917 | 2.40 | 50 | 0 | 0 | 2 | 24 | 0 | 0 | 0 | 0.000 | 0 | 0 | 9 | 0 | 0 | 0 | |
| Team Total or Average | 32 | 8 | 15 | 6 | 0.919 | 2.80 | 1760 | 0 | 2 | 82 | 1013 | 0 | 2 | 1 | 0.500 | 8 | 29 | 29 | 5 | 4 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aatu Jamsen | LW/RW | 23 | 852,500$ | 852,500$ | RFA | ||||||
| Anthony Angello | C | 29 | 775,000$ | 775,000$ | UFA | ||||||
| Arnaud Durandeau | LW | 26 | 800,000$ | 800,000$ | |||||||
| Ben Jones | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Brendan Lemieux | LW/RW | 29 | 900,000$ | 900,000$ | UFA | ||||||
| Brian Halonen | LW/RW | 26 | 900,000$ | 900,000$ | |||||||
| Caden Price | D | 20 | 835,556$ | 835,556$ | 835,556$ | 835,556$ | RFA | ||||
| Callahan Burke | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Chris Jandric | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Collin Delia | G | 31 | 775,000$ | 775,000$ | UFA | ||||||
| Cooper Gay | LW/RW | 23 | 872,500$ | 872,500$ | 872,500$ | ||||||
| Dennis Hildeby | G | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Dominic Toninato | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
| Gianni Fairbrother | D | 25 | 800,000$ | 800,000$ | |||||||
| Gleb Veremyev | C/LW | 22 | 885,000$ | 885,000$ | 885,000$ | RFA | |||||
| John Hayden | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
| John Prokop | D | 24 | 875,000$ | 875,000$ | |||||||
| Kalan Lind | LW | 20 | 806,666$ | 806,666$ | 806,666$ | 806,666$ | RFA | ||||
| Kalle Vaisanen | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
| Kevin Mandolese | G | 25 | 800,000$ | 800,000$ | |||||||
| Lucas Condotta | LW | 28 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | ||||
| Mark Friedman | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
| Noah Warren | D | 21 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
| Owen Say | G | 24 | 872,500$ | 872,500$ | |||||||
| Parker Ford | C | 25 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | ||||
| Parker Ford | C/RW | 25 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | ||||
| Tyler Kopff | C/LW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Will Lockwood | RW | 27 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
| Wyatt Newpower | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Zach Berzolla | D | 27 | 800,000$ | 800,000$ | 800,000$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 14 | 23 | 24 | 2 | 39 | 281 | 289 | 304 | 19 | 34 | 7 | 8 | 26 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 0.0% | 0.0% | 82.4% | 82.4 | Unlucky | |
| 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 14 | 23 | 24 | 2 | 33 | 281 | 289 | 304 | 19 | 42 | 5 | 10 | 19 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 40.0% | 12.1% | 88.1% | 100.2 | FUN | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 14 | 23 | 24 | 2 | 29 | 281 | 289 | 304 | 19 | 40 | 12 | 6 | 25 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 42.9% | 10.3% | 87.5% | 97.8 | FUN | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 14 | 23 | 24 | 2 | 55 | 281 | 289 | 304 | 19 | 71 | 31 | 18 | 57 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 33.3% | 5.5% | 93.0% | 98.4 | DULL | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 14 | 23 | 24 | 2 | 23 | 281 | 289 | 304 | 19 | 39 | 14 | 10 | 32 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 0.0% | 4.3% | 89.7% | 94.1 | Unlucky | |
| 6 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 14 | 23 | 24 | 2 | 117 | 281 | 289 | 304 | 19 | 95 | 19 | 27 | 74 | 17 | 5 | 29.41% | 10 | 1 | 90.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 41.7% | 8.5% | 91.6% | 100.1 | DULL | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 14 | 23 | 24 | 2 | 61 | 281 | 289 | 304 | 19 | 65 | 19 | 24 | 52 | 5 | 1 | 20.00% | 12 | 1 | 91.67% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 66.7% | 8.2% | 95.4% | 103.6 | DULL | |
| 8 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 4 | 6 | 1 | 0 | 14 | 23 | 24 | 2 | 55 | 281 | 289 | 304 | 19 | 52 | 19 | 12 | 45 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 28.6% | 3.6% | 90.4% | 94.0 | Unlucky | |
| 9 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 14 | 23 | 24 | 2 | 46 | 281 | 289 | 304 | 19 | 89 | 25 | 24 | 50 | 7 | 1 | 14.29% | 11 | 3 | 72.73% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 50.0% | 13.0% | 91.0% | 104.1 | FUN | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 14 | 23 | 24 | 2 | 27 | 281 | 289 | 304 | 19 | 33 | 11 | 10 | 27 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 40.0% | 7.4% | 90.9% | 98.3 | Unlucky | |
| 11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 14 | 23 | 24 | 2 | 17 | 281 | 289 | 304 | 19 | 43 | 10 | 12 | 29 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 75.0% | 17.6% | 95.3% | 113.0 | LUCKY | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 14 | 23 | 24 | 2 | 48 | 281 | 289 | 304 | 19 | 27 | 7 | 6 | 32 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 66.7% | 4.2% | 96.3% | 100.5 | DULL | |
| 13 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 14 | 23 | 24 | 2 | 40 | 281 | 289 | 304 | 19 | 26 | 5 | 4 | 21 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 0.0% | 2.5% | 92.3% | 94.8 | DULL | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 14 | 23 | 24 | 2 | 30 | 281 | 289 | 304 | 19 | 28 | 24 | 6 | 20 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 14 | 23 | 24 | 2 | 22 | 281 | 289 | 304 | 19 | 40 | 6 | 12 | 29 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 20.0% | 4.5% | 90.0% | 94.5 | Unlucky | |
| 16 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 9 | 11 | -2 | 3 | 0.375 | 9 | 16 | 25 | 0 | 1 | 14 | 23 | 24 | 2 | 132 | 281 | 289 | 304 | 19 | 142 | 40 | 47 | 104 | 8 | 1 | 12.50% | 20 | 3 | 85.00% | 0 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 50.0% | 6.8% | 92.3% | 99.1 | DULL | |
| 17 | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 8 | 13 | -5 | 2 | 0.250 | 8 | 10 | 18 | 0 | 0 | 14 | 23 | 24 | 2 | 112 | 281 | 289 | 304 | 19 | 148 | 31 | 22 | 89 | 10 | 0 | 0.00% | 9 | 1 | 88.89% | 1 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 40.0% | 7.1% | 91.2% | 98.4 | DULL | |
| _Vs Division | 16 | 5 | 8 | 0 | 0 | 2 | 1 | 2 | 36 | 41 | -5 | 16 | 0.500 | 36 | 58 | 94 | 1 | 1 | 14 | 23 | 24 | 2 | 525 | 281 | 289 | 304 | 19 | 529 | 135 | 138 | 396 | 46 | 7 | 15.22% | 60 | 6 | 90.00% | 1 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 45.3% | 6.9% | 92.2% | 99.1 | DULL | |
| _Vs Conference | 21 | 5 | 9 | 0 | 1 | 3 | 1 | 2 | 47 | 57 | -10 | 19 | 0.452 | 47 | 77 | 124 | 1 | 1 | 14 | 23 | 24 | 2 | 651 | 281 | 289 | 304 | 19 | 726 | 189 | 188 | 528 | 59 | 10 | 16.95% | 82 | 11 | 86.59% | 1 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 44.6% | 7.2% | 92.1% | 99.4 | DULL | |
| _Since Last GM Reset | 29 | 6 | 15 | 0 | 1 | 4 | 1 | 2 | 63 | 85 | -22 | 22 | 0.379 | 63 | 106 | 169 | 1 | 2 | 14 | 23 | 24 | 2 | 886 | 281 | 289 | 304 | 19 | 1014 | 285 | 258 | 731 | 89 | 13 | 14.61% | 114 | 17 | 85.09% | 1 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 42.4% | 7.1% | 91.6% | 98.7 | DULL | |
| Total | 29 | 6 | 15 | 0 | 1 | 4 | 1 | 2 | 63 | 85 | -22 | 22 | 0.379 | 63 | 106 | 169 | 1 | 2 | 14 | 23 | 24 | 2 | 886 | 281 | 289 | 304 | 19 | 1014 | 285 | 258 | 731 | 89 | 13 | 14.61% | 114 | 17 | 85.09% | 1 | 516 | 1018 | 50.69% | 560 | 1088 | 51.47% | 227 | 428 | 53.04% | 657 | 433 | 705 | 233 | 398 | 194 | 42.4% | 7.1% | 91.6% | 98.7 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1018 |
| Neutral Zone Start | 428 |
| Defensive Zone Start | 1088 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1303 |
| Faceoffs Lost | 1231 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.7 | 9.57 |
| 2nd Period | 19.7 | 20.31 |
| 3rd Period | 30.1 | 30.68 |
| Overtime | 30.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.3 | 1.65 |
| 3rd Period | 2.1 | 2.67 |
| Overtime | 2.2 | 2.83 |
| Even Strenght Goal | 48 |
|---|---|
| PP Goal | 13 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 6 | 2 |
| Lost | 5 | 10 |
| Overtime Lost | 4 | 2 |
| PP Attempt | 89 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 114 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 30.6 |
| Shots Against | 35.0 |
| Goals For | 2.2 |
| Goals Against | 2.9 |
| Hits | 25.2 |
| Shots Blocked | 9.8 |
| Pim | 8.9 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Canucks2,Wranglers4 | RECAP | |||||||||||
| 2025-10-10 | @ | Wranglers2,Silver Knights4 | RECAP | |||||||||||
| 2025-10-14 | @ | Gulls1,Wranglers2 | RECAP | |||||||||||
| 2025-10-17 | @ | Wranglers3,Barracuda5 | RECAP | |||||||||||
| 2025-10-19 | @ | Reign1,Wranglers4 | RECAP | |||||||||||
| 2025-10-21 | @ | Roadrunners5,Wranglers4 (OT) | RECAP | |||||||||||
| 2025-10-24 | @ | Wranglers2,Condors3 (OT) | RECAP | |||||||||||
| 2025-10-25 | @ | Wranglers3,Wolf Pack5 | RECAP | |||||||||||
| 2025-10-27 | @ | Condors2,Wranglers0 | RECAP | |||||||||||
| 2025-10-29 | @ | Silver Knights1,Wranglers2 (SO) | RECAP | |||||||||||
| 2025-10-31 | @ | Wranglers1,Reign2 | RECAP | |||||||||||
| 2025-11-01 | @ | Wranglers3,Canucks2 | RECAP | |||||||||||
| 2025-11-05 | @ | Barracuda2,Wranglers1 (SO) | RECAP | |||||||||||
| 2025-11-10 | @ | Phantoms6,Wranglers0 | RECAP | |||||||||||
| 2025-11-12 | @ | Wranglers1,Wild4 | RECAP | |||||||||||
| 2025-11-14 | @ | Wranglers3,Bears4 | RECAP | |||||||||||
| 2025-11-16 | @ | Americans3,Wranglers2 | RECAP | |||||||||||
| 2025-11-17 | @ | Wranglers1,Barracuda4 | RECAP | |||||||||||
| 2025-11-20 | @ | Wranglers1,Penguins4 | RECAP | |||||||||||
| 2025-11-21 | @ | Bears1,Wranglers0 | RECAP | |||||||||||
| 2025-11-26 | @ | Stars2,Wranglers1 (OT) | RECAP | |||||||||||
| 2025-11-30 | @ | Islanders5,Wranglers4 (OT) | RECAP | |||||||||||
| 2025-12-01 | @ | Wranglers3,IceHogs2 (OT) | RECAP | |||||||||||
| 2025-12-05 | @ | Marlies0,Wranglers3 | RECAP | |||||||||||
| 2025-12-08 | @ | Wranglers2,Silver Knights4 | RECAP | |||||||||||
| 2025-12-10 | @ | Silver Knights4,Wranglers2 | RECAP | |||||||||||
| 2025-12-12 | @ | Wranglers3,Canucks4 (SO) | RECAP | |||||||||||
| 2025-12-14 | @ | Wranglers2,Roadrunners3 | RECAP | |||||||||||
| 2025-12-16 | @ | Barracuda0,Wranglers4 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,937,806$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Calgary | |
| 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 |
| 21 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,937,806$ | 1,937,806$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,200,591$ | 10,766$ | 806,158$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 121 | 16,321$ | 1,778,989$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,778,989$ | 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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