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Full Scoreboard »» |
![]() | Milwaukee Admirals 29-19-10, 68pts · 6th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shane Wright | 0 | C/LW | 100.00 | 68 | 40 | 83 | 79 | 74 | 74 | 71 | 75 | 59 | 72 | 72 | 68 | 75 | 56 | 50 | 1 | 50 | 69 | 21 | 975,000$/2yrs | |||
Tye Kartye | 0 | C/LW/RW | 100.00 | 84 | 55 | 71 | 76 | 80 | 78 | 75 | 72 | 50 | 67 | 68 | 70 | 72 | 56 | 50 | 1 | 50 | 69 | 24 | 975,000$/1yrs | |||
Vasily Podkolzin | 0 | LW/RW | 100.00 | 75 | 56 | 72 | 73 | 75 | 77 | 75 | 72 | 48 | 69 | 65 | 68 | 70 | 62 | 53 | 1 | 50 | 68 | 24 | 1,200,000$/4yrs | |||
Brennan Othmann | 0 | LW | 100.00 | 65 | 42 | 74 | 71 | 74 | 74 | 65 | 66 | 42 | 63 | 60 | 60 | 66 | 55 | 50 | 1 | 50 | 63 | 22 | 975,000$/2yrs | |||
Kole Lind | 0 | RW | 100.00 | 58 | 53 | 58 | 69 | 62 | 69 | 67 | 66 | 46 | 65 | 61 | 62 | 66 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/2yrs | |||
Raphael Lavoie | 0 | C/RW | 100.00 | 62 | 44 | 65 | 64 | 67 | 65 | 63 | 64 | 44 | 58 | 61 | 56 | 63 | 52 | 50 | 1 | 50 | 60 | 24 | 1,200,000$/3yrs | |||
Jake Wise | 0 | C/LW/RW | 100.00 | 59 | 41 | 71 | 65 | 62 | 66 | 64 | 62 | 43 | 60 | 57 | 59 | 62 | 52 | 50 | 1 | 50 | 59 | 25 | 975,000$/2yrs | |||
Danila Klimovich | 0 | RW | 100.00 | 66 | 44 | 65 | 65 | 67 | 62 | 60 | 62 | 43 | 56 | 59 | 61 | 62 | 50 | 50 | 1 | 50 | 59 | 22 | 1,100,000$/4yrs | |||
Cameron Wright | 0 | RW | 100.00 | 60 | 46 | 63 | 63 | 64 | 67 | 65 | 63 | 42 | 56 | 57 | 56 | 61 | 53 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs | |||
Parker Wotherspoon | 0 | D | 100.00 | 70 | 50 | 81 | 75 | 77 | 85 | 73 | 69 | 40 | 66 | 61 | 74 | 68 | 59 | 50 | 1 | 50 | 69 | 27 | 1,200,000$/3yrs | |||
Declan Chisholm | 0 | D | 100.00 | 63 | 42 | 85 | 75 | 78 | 82 | 76 | 71 | 40 | 68 | 64 | 72 | 70 | 62 | 53 | 1 | 50 | 69 | 25 | 1,200,000$/3yrs | |||
Owen Pickering (R) | 0 | D | 100.00 | 58 | 40 | 74 | 69 | 77 | 75 | 62 | 64 | 40 | 61 | 61 | 66 | 65 | 51 | 50 | 1 | 50 | 64 | 21 | 886,667$/2yrs | |||
Victtorio Mancini (R) | 0 | D | 100.00 | 61 | 40 | 73 | 67 | 80 | 75 | 62 | 65 | 40 | 63 | 62 | 64 | 65 | 51 | 50 | 1 | 50 | 64 | 23 | 975,000$/3yrs | |||
Alex Petrovic | 0 | D | 100.00 | 62 | 46 | 63 | 64 | 68 | 72 | 72 | 64 | 40 | 62 | 55 | 68 | 61 | 68 | 61 | 1 | 50 | 64 | 33 | 975,000$/1yrs | |||
Carson Lambos | 0 | D | 100.00 | 62 | 45 | 64 | 65 | 65 | 63 | 62 | 63 | 40 | 58 | 56 | 64 | 61 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
Artem Duda (R) | 0 | D | 100.00 | 63 | 41 | 69 | 67 | 62 | 62 | 61 | 62 | 40 | 61 | 57 | 65 | 62 | 50 | 50 | 1 | 50 | 61 | 21 | 950,000$/2yrs | |||
Adam Ginning | 0 | D | 100.00 | 63 | 49 | 60 | 64 | 68 | 66 | 65 | 63 | 40 | 59 | 53 | 65 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 975,000$/1yrs | |||
Billy Sweezey | 0 | D | 100.00 | 60 | 49 | 61 | 64 | 65 | 70 | 69 | 59 | 40 | 53 | 52 | 66 | 58 | 59 | 52 | 1 | 50 | 61 | 29 | 1,200,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jagger Joshua | 0 | LW | 100.00 | 62 | 53 | 58 | 61 | 67 | 65 | 63 | 57 | 41 | 54 | 52 | 58 | 57 | 54 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/3yrs | |||
Ethan de Jong | 0 | RW | 100.00 | 57 | 41 | 70 | 64 | 61 | 64 | 62 | 56 | 41 | 54 | 52 | 55 | 57 | 52 | 50 | 1 | 50 | 56 | 25 | 1,000,000$/3yrs | |||
Hunter Johannes | 0 | LW | 100.00 | 62 | 42 | 65 | 59 | 69 | 65 | 63 | 57 | 40 | 52 | 52 | 54 | 56 | 53 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/3yrs | |||
Zach Dean | 0 | C/LW/RW | 100.00 | 58 | 41 | 70 | 65 | 62 | 60 | 58 | 56 | 41 | 52 | 53 | 56 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/2yrs | |||
Danny Katic | 0 | LW | 100.00 | 62 | 41 | 64 | 58 | 66 | 60 | 58 | 55 | 40 | 54 | 54 | 57 | 56 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs | |||
Jakub Rychlovský | 0 | LW | 100.00 | 58 | 41 | 67 | 62 | 61 | 61 | 58 | 57 | 40 | 54 | 54 | 55 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 1,000,000$/3yrs | |||
Joey Abate | 0 | C/LW/RW | 100.00 | 55 | 55 | 56 | 64 | 61 | 66 | 64 | 58 | 42 | 52 | 53 | 53 | 59 | 54 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/3yrs | |||
Carson Golder | 0 | RW | 100.00 | 62 | 40 | 69 | 61 | 66 | 59 | 56 | 55 | 40 | 52 | 51 | 54 | 56 | 50 | 50 | 1 | 50 | 55 | 22 | 1,000,000$/3yrs | |||
Jaxsen Wiebe | 0 | RW | 100.00 | 63 | 41 | 69 | 60 | 67 | 60 | 58 | 55 | 40 | 51 | 52 | 55 | 56 | 51 | 50 | 1 | 50 | 55 | 23 | 1,000,000$/3yrs | |||
Connor Mylymok | 0 | LW | 100.00 | 61 | 42 | 56 | 58 | 64 | 61 | 58 | 55 | 40 | 53 | 53 | 55 | 55 | 52 | 50 | 1 | 50 | 55 | 25 | 1,000,000$/3yrs | |||
Gunnarwolfe Fontaine | 0 | LW | 100.00 | 56 | 40 | 66 | 62 | 57 | 60 | 58 | 54 | 40 | 53 | 53 | 55 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
Joey Larson | 0 | C/LW/RW | 100.00 | 59 | 40 | 59 | 58 | 62 | 60 | 58 | 55 | 40 | 54 | 54 | 54 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
Lucas Mercuri (R) | 0 | C | 100.00 | 61 | 40 | 62 | 60 | 62 | 59 | 57 | 54 | 46 | 53 | 53 | 56 | 55 | 51 | 50 | 1 | 50 | 55 | 23 | 975,000$/1yrs | |||
Leo Lööf | 0 | D | 100.00 | 59 | 45 | 64 | 65 | 63 | 64 | 63 | 59 | 40 | 59 | 51 | 64 | 58 | 51 | 50 | 1 | 50 | 60 | 23 | 3,000,000$/1yrs | |||
Lucas Johansen | 0 | D | 100.00 | 58 | 41 | 70 | 67 | 61 | 65 | 63 | 58 | 40 | 55 | 51 | 64 | 59 | 55 | 50 | 1 | 50 | 60 | 27 | 1,200,000$/1yrs | |||
Colton Poolman | 0 | D | 100.00 | 60 | 40 | 72 | 65 | 62 | 67 | 65 | 57 | 40 | 52 | 53 | 67 | 58 | 59 | 50 | 1 | 50 | 60 | 29 | 1,000,000$/1yrs | |||
Marshall Warren (R) | 0 | D | 100.00 | 56 | 42 | 63 | 62 | 61 | 62 | 61 | 60 | 40 | 58 | 56 | 59 | 59 | 51 | 50 | 1 | 50 | 58 | 24 | 825,000$/1yrs | |||
Connor Corcoran | 0 | D | 100.00 | 57 | 41 | 72 | 64 | 64 | 63 | 61 | 58 | 40 | 53 | 52 | 57 | 58 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/4yrs | |||
Calle Odelius (R) | 0 | D | 100.00 | 55 | 41 | 67 | 61 | 61 | 61 | 60 | 59 | 40 | 57 | 54 | 53 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 815,000$/2yrs | |||
Josh Maniscalco | 0 | D | 100.00 | 55 | 41 | 63 | 56 | 58 | 56 | 54 | 53 | 40 | 51 | 50 | 55 | 53 | 53 | 50 | 1 | 50 | 54 | 26 | 975,000$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ty Young | 0 | 98.00 | 67 | 57 | 57 | 63 | 63 | 64 | 66 | 65 | 65 | 62 | 57 | 50 | 50 | 1 | 50 | 58 | 20 | 975,000$/2yrs |
Hunter Miska | 0 | 100.00 | 64 | 59 | 55 | 55 | 57 | 55 | 56 | 53 | 57 | 58 | 57 | 60 | 52 | 1 | 50 | 53 | 29 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Evan Cormier | 0 | 100.00 | 56 | 50 | 48 | 58 | 54 | 51 | 51 | 47 | 53 | 53 | 44 | 54 | 50 | 1 | 50 | 49 | 27 | 1,000,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Troy Mann | 62 | 61 | 64 | 61 | 62 | 57 | 1 | CAN | 55 | 1 | 500,000$ |
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Tye Kartye | Admirals (NAS) | C/LW/RW | 58 | 22 | 27 | 49 | -18 | 55 | 15 | 105 | 130 | 46 | 99 | 16.92% | 26 | 23.97 | 9 | 10 | 19 | 1 | 0 | 1 | 88 | 2 | 4 | 47.44% | 0 | 0 | 0.84 | 5 | 11 | 0.55 | |||
| 2 | Shane Wright | Admirals (NAS) | C/LW | 58 | 20 | 26 | 46 | -24 | 15 | 5 | 65 | 174 | 58 | 102 | 11.49% | 28 | 22.55 | 7 | 11 | 18 | 0 | 1 | 1 | 93 | 3 | 2 | 57.40% | 0 | 0 | 0.79 | 5 | 11 | 0.68 | |||
| 3 | Vasily Podkolzin | Admirals (NAS) | LW/RW | 58 | 15 | 24 | 39 | -17 | 58 | 30 | 78 | 108 | 34 | 75 | 13.89% | 24 | 21.16 | 8 | 10 | 18 | 2 | 1 | 3 | 42 | 5 | 2 | 42.86% | 0 | 0 | 0.67 | 6 | 10 | 0.39 | |||
| 4 | Brennan Othmann | Admirals (NAS) | LW | 58 | 15 | 21 | 36 | 14 | 19 | 15 | 76 | 128 | 32 | 64 | 11.72% | 21 | 20.97 | 0 | 3 | 3 | 1 | 1 | 2 | 69 | 2 | 0 | 51.47% | 1 | 0 | 0.62 | 1 | 3 | 0.68 | |||
| 5 | Kole Lind | Admirals (NAS) | RW | 58 | 15 | 14 | 29 | 8 | 34 | 0 | 110 | 114 | 23 | 60 | 13.16% | 13 | 18.99 | 1 | 3 | 4 | 0 | 0 | 0 | 1 | 5 | 0 | 51.28% | 0 | 0 | 0.50 | 0 | 1 | 0.51 | |||
| 6 | Parker Wotherspoon | Admirals (NAS) | D | 58 | 6 | 17 | 23 | -8 | 21 | 15 | 72 | 52 | 43 | 28 | 11.54% | 80 | 25.65 | 6 | 5 | 11 | 0 | 0 | 0 | 103 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.31 | |||
| 7 | Raphael Lavoie | Admirals (NAS) | C/RW | 58 | 9 | 14 | 23 | 7 | 30 | 10 | 72 | 51 | 14 | 42 | 17.65% | 23 | 19.70 | 3 | 2 | 5 | 0 | 0 | 0 | 25 | 1 | 0 | 46.53% | 0 | 0 | 0.40 | 0 | 0 | 0.31 | |||
| 8 | Declan Chisholm | Admirals (NAS) | D | 58 | 2 | 19 | 21 | -8 | 12 | 10 | 48 | 77 | 33 | 25 | 2.60% | 65 | 25.40 | 1 | 7 | 8 | 0 | 1 | 1 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.31 | |||
| 9 | Owen Pickering | Admirals (NAS) | D | 58 | 2 | 8 | 10 | -11 | 15 | 5 | 45 | 28 | 20 | 14 | 7.14% | 36 | 20.14 | 0 | 2 | 2 | 0 | 2 | 2 | 68 | 1 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.08 | |||
| 10 | Danila Klimovich | Admirals (NAS) | RW | 58 | 7 | 1 | 8 | -10 | 16 | 0 | 75 | 59 | 17 | 37 | 11.86% | 8 | 15.46 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 32.50% | 0 | 0 | 0.14 | 0 | 0 | 0.11 | |||
| 11 | Victtorio Mancini | Admirals (NAS) | D | 58 | 0 | 7 | 7 | -11 | 8 | 0 | 41 | 37 | 12 | 14 | 0.00% | 34 | 20.07 | 0 | 1 | 1 | 0 | 0 | 0 | 70 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.07 | |||
| 12 | Alex Petrovic | Admirals (NAS) | D | 58 | 0 | 5 | 5 | 6 | 29 | 5 | 32 | 2 | 3 | 6 | 0.00% | 22 | 14.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.03 | |||
| 13 | Zach Dean | Admirals (NAS) | C/LW/RW | 14 | 3 | 1 | 4 | 2 | 0 | 0 | 11 | 5 | 5 | 5 | 60.00% | 1 | 7.61 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 43.33% | 0 | 0 | 0.29 | 0 | 0 | 0.31 | |||
| 14 | Jagger Joshua | Admirals (NAS) | LW | 40 | 1 | 3 | 4 | -3 | 15 | 5 | 49 | 17 | 6 | 21 | 5.88% | 4 | 15.20 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 25.00% | 0 | 0 | 0.10 | 0 | 0 | 0.03 | |||
| 15 | Carson Lambos | Admirals (NAS) | D | 58 | 0 | 3 | 3 | 3 | 12 | 0 | 41 | 14 | 18 | 8 | 0.00% | 20 | 15.79 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 40.00% | 0 | 0 | 0.05 | 0 | 0 | 0.06 | |||
| 16 | Jake Wise | Admirals (NAS) | C/LW/RW | 32 | 2 | 1 | 3 | -9 | 9 | 5 | 27 | 43 | 11 | 30 | 4.65% | 9 | 14.79 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 1 | 0 | 42.67% | 0 | 0 | 0.09 | 0 | 0 | 0.05 | |||
| 17 | Cameron Wright | Admirals (NAS) | RW | 44 | 1 | 1 | 2 | 0 | 8 | 0 | 31 | 5 | 1 | 5 | 20.00% | 1 | 9.53 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 43.18% | 0 | 0 | 0.05 | 0 | 0 | 0.02 | |||
| 18 | Artem Duda | Admirals (NAS) | D | 44 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 3 | 0 | 2 | 0.00% | 0 | 5.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.02 | 0 | 0 | 0.02 | |||
| 19 | Carson Golder | Admirals (NAS) | RW | 14 | 0 | 0 | 0 | 4 | 0 | 0 | 1 | 2 | 1 | 0 | 0.00% | 0 | 4.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
| 20 | Ethan de Jong | Admirals (NAS) | RW | 14 | 0 | 0 | 0 | 2 | 4 | 0 | 7 | 6 | 0 | 6 | 0.00% | 2 | 6.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
| 21 | Adam Ginning | Admirals (NAS) | D | 44 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 0 | 0 | 0 | 0.00% | 0 | 2.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| 22 | Billy Sweezey | Admirals (NAS) | D | 44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| Team Total or Average | 1044 | 120 | 193 | 313 | -75 | 360 | 120 | 1003 | 1055 | 377 | 643 | 11.37% | 417 | 16.68 | 36 | 56 | 92 | 970 | 4 | 6 | 10 | 728 | 22 | 8 | 47.41% | 2470 | 252 | 298 | 1 | 0 | 0.36 | 17 | 36 |
| 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 | Ty Young | Admirals (NAS) | 49 | 23 | 15 | 10 | 0.908 | 1.94 | 2933 | 4 | 7 | 95 | 1031 | 560 | 2 | 3 | 0.645 | 31 | 48 | 9 | 7 | 3 | 1 |
| 2 | Hunter Miska | Admirals (NAS) | 11 | 6 | 4 | 0 | 0.889 | 2.65 | 611 | 0 | 0 | 27 | 243 | 154 | 3 | 0 | 1.000 | 2 | 10 | 48 | 1 | 1 | 0 |
| Team Total or Average | 60 | 29 | 19 | 10 | 0.904 | 2.07 | 3545 | 4 | 7 | 122 | 1274 | 714 | 5 | 3 | 0.667 | 33 | 58 | 57 | 8 | 4 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Ginning | D | 25 | 975,000$ | 975,000$ | |||||||
| Alex Petrovic | D | 33 | 975,000$ | 975,000$ | UFA | ||||||
| Artem Duda | D | 21 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
| Billy Sweezey | D | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Brennan Othmann | LW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Calle Odelius | D | 21 | 815,000$ | 975,000$ | 975,000$ | RFA | |||||
| Cameron Wright | RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Carson Golder | RW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Carson Lambos | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Colton Poolman | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Connor Corcoran | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Connor Mylymok | LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Danila Klimovich | RW | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
| Danny Katic | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Declan Chisholm | D | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Ethan de Jong | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Evan Cormier | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Gunnarwolfe Fontaine | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Hunter Johannes | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Hunter Miska | G | 29 | 975,000$ | 975,000$ | UFA | ||||||
| Jagger Joshua | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jake Wise | C/LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Jakub Rychlovský | LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Jaxsen Wiebe | RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Joey Abate | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Joey Larson | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Josh Maniscalco | D | 26 | 975,000$ | 975,000$ | |||||||
| Kole Lind | RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Leo Lööf | D | 23 | 3,000,000$ | 3,000,000$ | RFA | ||||||
| Lucas Johansen | D | 27 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Lucas Mercuri | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Marshall Warren | D | 24 | 825,000$ | 975,000$ | |||||||
| Owen Pickering | D | 21 | 886,667$ | 975,000$ | 975,000$ | RFA | |||||
| Parker Wotherspoon | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Raphael Lavoie | C/RW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Shane Wright | C/LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Ty Young | G | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Tye Kartye | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
| Vasily Podkolzin | LW/RW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Victtorio Mancini | D | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Zach Dean | C/LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ |
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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 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 28 | 42 | 45 | 22 | 9 | 289 | 347 | 400 | 55 | 5 | 0 | 2 | 19 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 100.0% | 22.2% | 100.0% | 122.2 | LUCKY |
| 2 | Moose | 4 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 8 | 13 | -5 | 4 | 0.500 | 8 | 10 | 18 | 0 | 0 | 28 | 42 | 45 | 22 | 95 | 289 | 347 | 400 | 55 | 83 | 28 | 28 | 68 | 10 | 4 | 40.00% | 9 | 3 | 66.67% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 28.6% | 8.4% | 84.3% | 92.8 | Unlucky |
| 3 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 28 | 42 | 45 | 22 | 17 | 289 | 347 | 400 | 55 | 38 | 14 | 11 | 17 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 50.0% | 11.8% | 92.1% | 103.9 | LUCKY |
| 4 | Americans | 4 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 8 | 9 | -1 | 5 | 0.625 | 8 | 12 | 20 | 0 | 1 | 28 | 42 | 45 | 22 | 85 | 289 | 347 | 400 | 55 | 69 | 29 | 27 | 92 | 8 | 2 | 25.00% | 11 | 5 | 54.55% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 60.0% | 9.4% | 87.0% | 96.4 | FUN |
| 5 | Heat | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 6 | 1.000 | 7 | 13 | 20 | 0 | 1 | 28 | 42 | 45 | 22 | 42 | 289 | 347 | 400 | 55 | 37 | 12 | 17 | 44 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 75.0% | 16.7% | 94.6% | 111.3 | LUCKY |
| 6 | Wolves | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 28 | 42 | 45 | 22 | 30 | 289 | 347 | 400 | 55 | 50 | 20 | 12 | 20 | 9 | 3 | 33.33% | 6 | 1 | 83.33% | 1 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 60.0% | 20.0% | 94.0% | 114.0 | LUCKY |
| 7 | IceHogs | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 28 | 42 | 45 | 22 | 30 | 289 | 347 | 400 | 55 | 75 | 27 | 17 | 36 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 25.0% | 10.0% | 90.7% | 100.7 | FUN |
| 8 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 28 | 42 | 45 | 22 | 51 | 289 | 347 | 400 | 55 | 44 | 8 | 10 | 40 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 40.0% | 5.9% | 90.9% | 96.8 | Unlucky |
| 9 | Monsters | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 7 | 13 | 1 | 0 | 28 | 42 | 45 | 22 | 50 | 289 | 347 | 400 | 55 | 37 | 8 | 14 | 38 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 44.4% | 12.0% | 81.1% | 93.1 | FUN |
| 10 | Stars | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 4 | 3 | 5 | 0.833 | 7 | 10 | 17 | 0 | 0 | 28 | 42 | 45 | 22 | 54 | 289 | 347 | 400 | 55 | 32 | 12 | 17 | 53 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 62.5% | 13.0% | 87.5% | 100.5 | FUN |
| 11 | Griffins | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 8 | 1.000 | 12 | 20 | 32 | 0 | 0 | 28 | 42 | 45 | 22 | 106 | 289 | 347 | 400 | 55 | 109 | 51 | 19 | 88 | 14 | 5 | 35.71% | 7 | 1 | 85.71% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 58.3% | 11.3% | 94.5% | 105.8 | LUCKY |
| 12 | Checkers 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 28 | 42 | 45 | 22 | 13 | 289 | 347 | 400 | 55 | 15 | 2 | 2 | 16 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 33.3% | 7.7% | 86.7% | 94.4 | Unlucky |
| 13 | Reign | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0.500 | 0 | 0 | 0 | 0 | 0 | 28 | 42 | 45 | 22 | 5 | 289 | 347 | 400 | 55 | 12 | 5 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 0.0% | 0.0% | 91.7% | 91.7 | DULL |
| 14 | Wild | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 3 | 0.375 | 11 | 19 | 30 | 0 | 0 | 28 | 42 | 45 | 22 | 87 | 289 | 347 | 400 | 55 | 64 | 24 | 6 | 69 | 10 | 2 | 20.00% | 3 | 1 | 66.67% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 47.4% | 12.6% | 82.8% | 95.5 | FUN |
| 15 | Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 28 | 42 | 45 | 22 | 13 | 289 | 347 | 400 | 55 | 16 | 5 | 0 | 15 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 0.0% | 0.0% | 81.3% | 81.3 | Unlucky |
| 16 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 28 | 42 | 45 | 22 | 10 | 289 | 347 | 400 | 55 | 28 | 8 | 9 | 37 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 66.7% | 20.0% | 96.4% | 116.4 | LUCKY |
| 17 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 16 | 25 | 0 | 1 | 28 | 42 | 45 | 22 | 27 | 289 | 347 | 400 | 55 | 28 | 11 | 20 | 26 | 4 | 3 | 75.00% | 5 | 1 | 80.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 85.7% | 33.3% | 92.9% | 126.2 | LUCKY |
| 18 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 28 | 42 | 45 | 22 | 18 | 289 | 347 | 400 | 55 | 45 | 12 | 7 | 17 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 0.0% | 5.6% | 93.3% | 98.9 | DULL |
| 19 | Belleville Senators | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 28 | 42 | 45 | 22 | 48 | 289 | 347 | 400 | 55 | 56 | 27 | 11 | 43 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 50.0% | 16.7% | 91.1% | 107.7 | Unlucky |
| 20 | Phantoms | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 28 | 42 | 45 | 22 | 7 | 289 | 347 | 400 | 55 | 10 | 1 | 10 | 16 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 50.0% | 28.6% | 90.0% | 118.6 | FUN |
| 21 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 28 | 42 | 45 | 22 | 6 | 289 | 347 | 400 | 55 | 7 | 4 | 2 | 10 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 0.0% | 0.0% | 71.4% | 71.4 | Unlucky |
| 22 | Penguins | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 28 | 42 | 45 | 22 | 18 | 289 | 347 | 400 | 55 | 32 | 21 | 4 | 14 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 50.0% | 11.1% | 90.6% | 101.7 | FUN |
| 23 | Barracuda | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 28 | 42 | 45 | 22 | 20 | 289 | 347 | 400 | 55 | 27 | 4 | 10 | 27 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 2 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 57.1% | 20.0% | 81.5% | 101.5 | FUN |
| 24 | Thunderbirds | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 0.667 | 8 | 9 | 17 | 1 | 0 | 28 | 42 | 45 | 22 | 60 | 289 | 347 | 400 | 55 | 116 | 23 | 34 | 46 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 66.7% | 13.3% | 96.6% | 109.9 | LUCKY |
| 25 | Crunch | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 4 | 7 | -3 | 3 | 0.500 | 4 | 7 | 11 | 0 | 0 | 28 | 42 | 45 | 22 | 47 | 289 | 347 | 400 | 55 | 61 | 19 | 16 | 45 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 40.0% | 8.5% | 88.5% | 97.0 | Unlucky |
| 26 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 28 | 42 | 45 | 22 | 41 | 289 | 347 | 400 | 55 | 96 | 21 | 19 | 37 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 1 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 25.0% | 12.2% | 88.5% | 100.7 | FUN |
| 27 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 28 | 42 | 45 | 22 | 17 | 289 | 347 | 400 | 55 | 23 | 2 | 2 | 18 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 0.0% | 5.9% | 91.3% | 97.2 | DULL |
| 28 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 28 | 42 | 45 | 22 | 33 | 289 | 347 | 400 | 55 | 36 | 11 | 34 | 21 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 33.3% | 9.1% | 80.6% | 89.6 | FUN |
| 29 | Checkers 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 28 | 42 | 45 | 22 | 16 | 289 | 347 | 400 | 55 | 26 | 8 | 4 | 18 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 66.7% | 12.5% | 96.2% | 108.7 | LUCKY |
| _Vs Division | 9 | 8 | 6 | 0 | 0 | 3 | 3 | 0 | 16 | 11 | 5 | 25 | 1.389 | 16 | 26 | 42 | 0 | 2 | 28 | 42 | 45 | 22 | 109 | 289 | 347 | 400 | 55 | 130 | 31 | 35 | 139 | 16 | 2 | 12.50% | 15 | 2 | 86.67% | 2 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 60.9% | 14.7% | 91.5% | 106.2 | LUCKY | |
| _Vs Conference | 31 | 12 | 9 | 0 | 1 | 4 | 5 | 0 | 67 | 60 | 7 | 40 | 0.645 | 67 | 103 | 170 | 2 | 2 | 28 | 42 | 45 | 22 | 581 | 289 | 347 | 400 | 55 | 637 | 206 | 166 | 531 | 69 | 18 | 26.09% | 58 | 11 | 81.03% | 2 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 50.0% | 11.5% | 90.6% | 102.1 | FUN | |
| _Since Last GM Reset | 58 | 17 | 19 | 0 | 5 | 6 | 7 | 4 | 127 | 129 | -2 | 68 | 0.586 | 127 | 193 | 320 | 3 | 5 | 28 | 42 | 45 | 22 | 1055 | 289 | 347 | 400 | 55 | 1277 | 417 | 364 | 1003 | 133 | 36 | 27.07% | 117 | 26 | 77.78% | 4 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 46.9% | 12.0% | 89.9% | 101.9 | FUN | |
| Total | 58 | 17 | 19 | 0 | 5 | 6 | 7 | 4 | 127 | 129 | -2 | 68 | 0.586 | 127 | 193 | 320 | 3 | 5 | 28 | 42 | 45 | 22 | 1055 | 289 | 347 | 400 | 55 | 1277 | 417 | 364 | 1003 | 133 | 36 | 27.07% | 117 | 26 | 77.78% | 4 | 426 | 886 | 48.08% | 457 | 959 | 47.65% | 288 | 582 | 49.48% | 1081 | 450 | 1081 | 612 | 1385 | 714 | 46.9% | 12.0% | 89.9% | 101.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 18 |
| Neutral Zone | 23 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 886 |
| Neutral Zone Start | 582 |
| Defensive Zone Start | 959 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1171 |
| Faceoffs Lost | 1256 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 5.0 | 9.57 |
| 2nd Period | 11.0 | 20.31 |
| 3rd Period | 17.9 | 30.68 |
| Overtime | 18.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.2 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.4 | 2.83 |
| Even Strenght Goal | 84 |
|---|---|
| PP Goal | 36 |
| PK Goal | 4 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 15 | 14 |
| Lost | 10 | 9 |
| Overtime Lost | 4 | 6 |
| PP Attempt | 133 |
|---|---|
| PP Goal | 36 |
| PK Attempt | 117 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 18.2 |
| Shots Against | 22.0 |
| Goals For | 2.2 |
| Goals Against | 2.2 |
| Hits | 17.3 |
| Shots Blocked | 7.2 |
| Pim | 6.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | NAS | @ | CHI | NAS1,CHI2 (OT) | RECAP | |||||||||
| Sat, Oct 11 | CAL | @ | NAS | CAL1,NAS3 | RECAP | |||||||||
| Tue, Oct 14 | TAM | @ | NAS | TAM3,NAS2 (OT) | RECAP | |||||||||
| Thu, Oct 16 | NAS | @ | BUF | NAS3,BUF5 | RECAP | |||||||||
| Sat, Oct 18 | STL | @ | NAS | STL1,NAS6 | RECAP | |||||||||
| Mon, Oct 20 | WPG | @ | NAS | WPG8,NAS3 | RECAP | |||||||||
| Tue, Oct 21 | NAS | @ | DAL | NAS2,DAL1 (SO) | RECAP | |||||||||
| Fri, Oct 24 | BUF | @ | NAS | BUF2,NAS3 (OT) | RECAP | |||||||||
| Sun, Oct 26 | NAS | @ | MIN | NAS6,MIN2 | RECAP | |||||||||
| Tue, Oct 28 | NAS | @ | COL | NAS3,COL1 | RECAP | |||||||||
| Wed, Oct 29 | NAS | @ | STL | NAS2,STL1 | RECAP | |||||||||
| Fri, Oct 31 | MIN | @ | NAS | MIN4,NAS2 | RECAP | |||||||||
| Mon, Nov 3 | DAL | @ | NAS | DAL2,NAS5 | RECAP | |||||||||
| Tue, Nov 4 | NAS | @ | WAS | NAS3,WAS7 | RECAP | |||||||||
| Thu, Nov 6 | DET | @ | NAS | DET1,NAS2 | RECAP | |||||||||
| Fri, Nov 7 | NAS | @ | WPG | NAS3,WPG2 (SO) | RECAP | |||||||||
| Mon, Nov 10 | NAS | @ | DET | NAS4,DET2 | RECAP | |||||||||
| Wed, Nov 12 | OTT | @ | NAS | OTT3,NAS4 (OT) | RECAP | |||||||||
| Thu, Nov 13 | DET | @ | NAS | DET1,NAS2 | RECAP | |||||||||
| Sun, Nov 16 | NAS | @ | COL | NAS0,COL3 | RECAP | |||||||||
| Mon, Nov 17 | TOR | @ | NAS | TOR6,NAS2 | RECAP | |||||||||
| Wed, Nov 19 | NAS | @ | DET | NAS4,DET2 | RECAP | |||||||||
| Sat, Nov 22 | NYR | @ | NAS | NYR3,NAS1 | RECAP | |||||||||
| Sun, Nov 23 | NAS | @ | CAR | NAS3,CAR2 (SO) | RECAP | |||||||||
| Tue, Nov 25 | FLO | @ | NAS | FLO2,NAS1 | RECAP | |||||||||
| Fri, Nov 28 | NAS | @ | OTT | NAS4,OTT2 | RECAP | |||||||||
| Sat, Nov 29 | NAS | @ | NJD | NAS0,NJD1 (SO) | RECAP | |||||||||
| Mon, Dec 1 | BUF | @ | NAS | BUF0,NAS1 (OT) | RECAP | |||||||||
| Wed, Dec 3 | MIN | @ | NAS | MIN2,NAS1 (OT) | RECAP | |||||||||
| Fri, Dec 5 | NAS | @ | CAL | NAS2,CAL1 (OT) | RECAP | |||||||||
| Mon, Dec 8 | NAS | @ | MIN | NAS2,MIN3 | RECAP | |||||||||
| Tue, Dec 9 | MTL | @ | NAS | MTL3,NAS0 | RECAP | |||||||||
| Fri, Dec 12 | NAS | @ | BUF | NAS1,BUF2 (SO) | RECAP | |||||||||
| Sat, Dec 13 | CAL | @ | NAS | CAL0,NAS2 | RECAP | |||||||||
| Tue, Dec 16 | NAS | @ | CLB | NAS3,CLB5 | RECAP | |||||||||
| Wed, Dec 17 | ANA | @ | NAS | ANA0,NAS2 | RECAP | |||||||||
| Sat, Dec 20 | NJD | @ | NAS | NJD0,NAS2 | RECAP | |||||||||
| Sun, Dec 21 | NAS | @ | DAL | NAS0,DAL1 (OT) | RECAP | |||||||||
| Wed, Dec 24 | NAS | @ | VAN | NAS1,VAN2 | RECAP | |||||||||
| Fri, Dec 26 | CLB | @ | NAS | CLB2,NAS3 (OT) | RECAP | |||||||||
| Sun, Dec 28 | NAS | @ | BOS | NAS2,BOS3 | RECAP | |||||||||
| Tue, Dec 30 | NYI | @ | NAS | NYI2,NAS8 | RECAP | |||||||||
| Fri, Jan 2 | NAS | @ | SEA | NAS2,SEA1 (SO) | RECAP | |||||||||
| Mon, Jan 5 | TAM | @ | NAS | TAM1,NAS0 (SO) | RECAP | |||||||||
| Wed, Jan 7 | WPG | @ | NAS | WPG2,NAS0 | RECAP | |||||||||
| Fri, Jan 9 | NAS | @ | PHO | NAS0,PHO2 | RECAP | |||||||||
| Sat, Jan 10 | NAS | @ | TAM | NAS2,TAM3 (OT) | RECAP | |||||||||
| Mon, Jan 12 | STL | @ | NAS | STL2,NAS0 | RECAP | |||||||||
| Thu, Jan 15 | LOS | @ | NAS | LOS1,NAS0 (OT) | RECAP | |||||||||
| Fri, Jan 16 | NAS | @ | NYI | NAS1,NYI0 | RECAP | |||||||||
| Mon, Jan 19 | CHI | @ | NAS | CHI5,NAS2 | RECAP | |||||||||
| Wed, Jan 21 | PHI | @ | NAS | PHI1,NAS2 (SO) | RECAP | |||||||||
| Fri, Jan 23 | NAS | @ | WPG | NAS2,WPG1 (SO) | RECAP | |||||||||
| Sun, Jan 25 | NAS | @ | S J | NAS3,S J2 (SO) | RECAP | |||||||||
| Mon, Jan 26 | NAS | @ | PIT | NAS2,PIT3 (SO) | RECAP | |||||||||
| Wed, Jan 28 | CAR | @ | NAS | CAR1,NAS3 | RECAP | |||||||||
| Fri, Jan 30 | NAS | @ | TOR | NAS3,TOR5 | RECAP | |||||||||
| Sun, Feb 1 | S J | @ | NAS | S J3,NAS1 | RECAP | |||||||||
| Tue, Feb 3 | BOS | @ | NAS | |||||||||||
| Fri, Feb 6 | COL | @ | NAS | |||||||||||
| Sun, Feb 8 | NAS | @ | LOS | |||||||||||
| Mon, Feb 9 | NAS | @ | FLO | |||||||||||
| Wed, Feb 11 | EDM | @ | NAS | |||||||||||
| Fri, Feb 13 | NAS | @ | WAS | |||||||||||
| Sun, Feb 15 | WAS | @ | NAS | |||||||||||
| Wed, Feb 18 | NAS | @ | CHI | |||||||||||
| Thu, Feb 19 | NAS | @ | PHI | |||||||||||
| Fri, Feb 20 | DAL | @ | NAS | |||||||||||
| Mon, Feb 23 | PHO | @ | NAS | |||||||||||
| Thu, Feb 26 | CHI | @ | NAS | |||||||||||
| Fri, Feb 27 | NAS | @ | CHI | |||||||||||
| Mon, Mar 2 | CHI | @ | NAS | |||||||||||
| Tue, Mar 3 | NAS | @ | STL | |||||||||||
| Thu, Mar 5 | NAS | @ | ANA | |||||||||||
| Sat, Mar 7 | NAS | @ | MTL | |||||||||||
| Sun, Mar 8 | SEA | @ | NAS | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Tue, Mar 10 | NAS | @ | CHI | |||||||||||
| Thu, Mar 12 | NAS | @ | NYR | |||||||||||
| Sat, Mar 14 | CHI | @ | NAS | |||||||||||
| Tue, Mar 17 | PIT | @ | NAS | |||||||||||
| Wed, Mar 18 | NAS | @ | EDM | |||||||||||
| Mon, Mar 23 | VAN | @ | NAS | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,437,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Milwaukee | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,437,500$ | 4,437,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,391,304$ | 0$ | 3,042,142$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 29,216$ | 1,490,016$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,490,016$ | 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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