| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 2 | 1 | 0 | 1 | 3 |
| # | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | Jooel Tuomisalo | LW | 100.00 | 99 | 55 | 72 | 93 | 99 | 98 | 84 | 91 | 62 | 68 | 74 | 99 | 52 | 43 | 71 | 33 | 86 | 30 | 3,600,000$/2yrs | ||||
| 88 | Duma Dodrescu | RW | 100.00 | 62 | 62 | 63 | 93 | 99 | 99 | 76 | 99 | 61 | 78 | 99 | 89 | 41 | 69 | 71 | 26 | 86 | 30 | 10,500,000$/3yrs | ||||
| 39 | Maxym Pansegrau (A) | C | 100.00 | 44 | 49 | 81 | 69 | 99 | 84 | 62 | 84 | 82 | 99 | 92 | 82 | 84 | 64 | 87 | 22 | 82 | 31 | 3,000,000$/1yrs | ||||
| 0 | John-Michael Mcdonough | C | 100.00 | 90 | 55 | 52 | 89 | 99 | 84 | 83 | 76 | 95 | 70 | 66 | 99 | 34 | 70 | 62 | 58 | 82 | 24 | 3,100,000$/4yrs | ||||
| 55 | Daniel Weber | C | 100.00 | 45 | 35 | 85 | 65 | 95 | 86 | 86 | 66 | 85 | 79 | 91 | 93 | 70 | 43 | 84 | 53 | 81 | 25 | 2,800,000$/2yrs | ||||
| 0 | Tod Benedict | RW | 100.00 | 79 | 49 | 92 | 60 | 98 | 71 | 97 | 79 | 88 | 86 | 49 | 77 | 64 | 58 | 78 | 62 | 79 | 23 | 2,400,000$/5yrs | ||||
| 51 | Andrei Flatley (A) | C | 100.00 | 52 | 46 | 58 | 98 | 90 | 96 | 64 | 81 | 74 | 90 | 56 | 63 | 66 | 57 | 97 | 46 | 78 | 28 | 1,646,873$/2yrs | ||||
| 19 | Vintila Dragan | RW | 100.00 | 46 | 53 | 67 | 82 | 87 | 97 | 83 | 76 | 98 | 59 | 78 | 70 | 41 | 37 | 67 | 13 | 77 | 33 | 1,600,000$/1yrs | ||||
| 0 | Stig Lunde (R) | LW | 100.00 | 82 | 74 | 73 | 77 | 90 | 88 | 73 | 77 | 89 | 54 | 87 | 74 | 84 | 68 | 83 | 64 | 77 | 19 | 1,000,000$/2yrs | ||||
| 0 | Andre Corrigall (R) | RW | 100.00 | 86 | 35 | 92 | 57 | 88 | 67 | 58 | 93 | 46 | 89 | 52 | 99 | 29 | 49 | 53 | 75 | 76 | 21 | 900,000$/1yrs | ||||
| 0 | Halvor Dahl (R) | LW | 100.00 | 82 | 36 | 67 | 76 | 83 | 80 | 73 | 67 | 75 | 80 | 69 | 80 | 70 | 79 | 77 | 65 | 76 | 19 | 900,000$/2yrs | ||||
| 22 | Romeo Rocca | LW | 100.00 | 83 | 66 | 77 | 85 | 69 | 61 | 68 | 69 | 52 | 53 | 93 | 96 | 40 | 68 | 35 | 19 | 73 | 31 | 1,400,000$/1yrs | ||||
| 17 | Curtis Gordic | D | 100.00 | 84 | 55 | 89 | 90 | 89 | 91 | 90 | 96 | 25 | 66 | 49 | 82 | 51 | 98 | 55 | 66 | 82 | 23 | 4,130,000$/4yrs | ||||
| 28 | Kodi Lapalme | D | 100.00 | 89 | 69 | 92 | 87 | 98 | 66 | 52 | 94 | 25 | 79 | 83 | 70 | 94 | 79 | 59 | 13 | 80 | 32 | 3,550,000$/3yrs | ||||
| 4 | Layton Neveu | D | 100.00 | 55 | 67 | 81 | 98 | 90 | 76 | 89 | 72 | 25 | 83 | 68 | 57 | 97 | 45 | 44 | 0 | 79 | 37 | 1,500,000$/1yrs | ||||
| 0 | Kory Nestor | D | 100.00 | 96 | 45 | 60 | 81 | 54 | 93 | 97 | 71 | 25 | 72 | 37 | 95 | 91 | 65 | 50 | 5 | 77 | 34 | 2,783,000$/2yrs | ||||
| 64 | Dominic Burry | D | 100.00 | 73 | 55 | 69 | 98 | 97 | 72 | 88 | 76 | 25 | 72 | 58 | 57 | 80 | 42 | 83 | 32 | 77 | 28 | 2,290,000$/3yrs | ||||
| 78 | Blair Kuntz | D | 100.00 | 72 | 68 | 96 | 92 | 96 | 77 | 87 | 56 | 25 | 65 | 76 | 49 | 51 | 84 | 46 | 0 | 76 | 37 | 2,300,000$/2yrs | ||||
| TEAM AVERAGE | 100.00 | 73 | 54 | 76 | 83 | 90 | 83 | 78 | 79 | 59 | 75 | 71 | 80 | 63 | 62 | 67 | 36 | 79 | ||||||||
| # | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Bryce Bruha | 98.00 | 65 | 76 | 84 | 85 | 96 | 75 | 96 | 85 | 55 | 91 | 68 | 55 | 49 | 54 | 81 | 24 | 4,050,100$/4yrs |
| 31 | Luis Henrich | 100.00 | 55 | 83 | 88 | 83 | 79 | 73 | 99 | 53 | 72 | 94 | 98 | 43 | 88 | 38 | 78 | 27 | 1,999,000$/3yrs |
| TEAM AVERAGE | 99.00 | 60 | 80 | 86 | 84 | 88 | 74 | 98 | 69 | 64 | 93 | 83 | 49 | 69 | 46 | 80 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Jaxxon Hanni | 95 | 36 | 99 | 83 | 97 | 46 | 79 | CAN | 39 | 1 | 1,750,000$ |
| General Manager | Joe Larson |
|---|
| 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 | MPG | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Maxym Pansegrau | Blues | C | 2 | 1 | 2 | 3 | 1 | 2 | 0 | 0 | 5 | 0 | 1 | 20.00% | 0 | 17.33 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 42.42% | 0 | 0 | 1.50 | 0 | 1 | 1.18 | |||
| 2 | Duma Dodrescu | Blues | RW | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 14 | 3 | 4 | 7.14% | 3 | 19.14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 1 | 1.41 | |||
| 3 | John-Michael Mcdonough | Blues | C | 2 | 1 | 1 | 2 | -1 | 10 | 10 | 2 | 6 | 0 | 4 | 16.67% | 2 | 19.41 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 58.00% | 0 | 0 | 1.00 | 0 | 0 | -0.04 | |||
| 4 | Jooel Tuomisalo | Blues | LW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 6 | 5 | 6 | 0.00% | 1 | 19.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.50 | 0 | 0 | 0.71 | |||
| 5 | Kodi Lapalme | Blues | D | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 8 | 1 | 3 | 0.00% | 3 | 22.93 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.90 | |||
| 6 | Curtis Gordic | Blues | D | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 3 | 3 | 2 | 0.00% | 4 | 27.24 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.44 | |||
| 7 | Andrei Flatley | Blues | C | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 5 | 2 | 0 | 20.00% | 0 | 8.03 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.77 | |||
| 8 | Tod Benedict | Blues | RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 4 | 0.00% | 1 | 18.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.67 | |||
| 9 | Stig Lunde | Blues | LW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 5 | 0 | 1 | 20.00% | 0 | 17.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.73 | |||
| 10 | Romeo Rocca | Blues | LW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 1 | 0 | 1 | 0.00% | 1 | 10.26 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 1 | -0.05 | |||
| 11 | Vintila Dragan | Blues | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 0.00% | 3 | 11.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.24 | |||
| 12 | Layton Neveu | Blues | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | 0 | 0 | 0.00% | 1 | 16.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.40 | |||
| 13 | Kory Nestor | Blues | D | 2 | 0 | 0 | 0 | -1 | 4 | 0 | 4 | 2 | 1 | 1 | 0.00% | 7 | 23.06 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.24 | |||
| 14 | Blair Kuntz | Blues | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0.00% | 1 | 13.76 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.27 | |||
| 15 | Daniel Weber | Blues | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 2 | 16.93 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 47.62% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | |||
| 16 | Dominic Burry | Blues | D | 2 | 0 | 0 | 0 | 1 | 10 | 10 | 5 | 3 | 0 | 0 | 0.00% | 3 | 19.55 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.49 | |||
| 17 | Andre Corrigall | Blues | RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 3 | 1 | 0 | 0.00% | 0 | 10.10 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| 18 | Halvor Dahl | Blues | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 5 | 0.00% | 0 | 11.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.33 | |||
| Team Total or Average | 36 | 5 | 8 | 13 | 4 | 28 | 20 | 44 | 81 | 18 | 35 | 6.17% | 32 | 16.80 | 1 | 1 | 2 | 31 | 1 | 1 | 2 | 39 | 1 | 0 | 51.67% | 120 | 13 | 10 | 0 | 0 | 0.43 | 0 | 3 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Bryce Bruha | Blues | 2 | 1 | 0 | 1 | 0.962 | 1.44 | 125 | 2 | 0 | 3 | 79 | 36 | 0 | 0 | 0.667 | 3 | 2 | 0 | 1 | 1 | 0 |
| Team Total or Average | 2 | 1 | 0 | 1 | 0.962 | 1.44 | 125 | 2 | 0 | 3 | 79 | 36 | 0 | 0 | 0.667 | 3 | 2 | 0 | 1 | 1 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 41 |
| Neutral Zone Start | 23 |
| Defensive Zone Start | 52 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 32 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 62 |
| Faceoffs Lost | 54 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 17.0 | 9.57 |
| 2nd Period | 32.0 | 20.31 |
| 3rd Period | 40.0 | 30.68 |
| Overtime | 42.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 3 |
|---|---|
| PP Goal | 1 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 4 |
|---|---|
| PP Goal | 1 |
| PK Attempt | 5 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 40.5 |
| Shots Against | 39.5 |
| Goals For | 2.5 |
| Goals Against | 2.0 |
| Hits | 22.0 |
| Shots Blocked | 16.0 |
| Pim | 15.0 |
| |
| Projected Total Cap Hit | 58,451,187$ |
| Projected Cap Space | 548,813$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 1,131,612$ |
| Players In Salary Cap | 20 |
| Contracts | 51/55 |
| LTIR Players | 0 |
| Blues Roster | Pos | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Corrigall | RW | 21 | 900,000$ | 900,000$ | |||||||
Andrei Flatley ![]() | C | 28 | 1,646,873$ | 1,646,873$ | 1,646,873$ | 1,646,873$ | |||||
Blair Kuntz ![]() | D | 37 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | |||||
Bryce Bruha | G | 24 | 4,050,100$ | 4,050,100$ | 4,050,100$ | 4,050,100$ | 4,050,100$ | ||||
Curtis Gordic | D | 23 | 4,130,000$ | 4,130,000$ | 4,130,000$ | 4,130,000$ | 4,130,000$ | ||||
Daniel Weber ![]() | C | 25 | 2,800,000$ | 2,800,000$ | 2,800,000$ | ||||||
Dominic Burry ![]() | D | 28 | 2,290,000$ | 2,290,000$ | 2,290,000$ | 2,290,000$ | 2,290,000$ | ||||
Duma Dodrescu ![]() | RW | 30 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | ||||
Halvor Dahl | LW | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
John-Michael Mcdonough | C | 24 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | ||||
Jooel Tuomisalo ![]() | LW | 30 | 3,600,000$ | 3,600,000$ | 3,600,000$ | ||||||
Kodi Lapalme ![]() | D | 32 | 3,550,000$ | 3,550,000$ | 3,550,000$ | 3,550,000$ | |||||
Kory Nestor ![]() | D | 34 | 2,783,000$ | 2,783,000$ | 2,783,000$ | ||||||
Layton Neveu ![]() | D | 37 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Luis Henrich ![]() | G | 27 | 1,999,000$ | 1,999,000$ | 1,999,000$ | 1,999,000$ | |||||
Maxym Pansegrau ![]() | C | 31 | 3,000,000$ | 3,000,000$ | |||||||
Romeo Rocca ![]() | LW | 31 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Stig Lunde | LW | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Tod Benedict | RW | 23 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | ||
Vintila Dragan ![]() | RW | 33 | 1,600,000$ | 1,600,000$ | |||||||
| TOTAL | 55,448,973$ | 69,085,846$ | 51,155,973$ | 28,870,100$ | 4,800,000$ | 2,400,000$ | 0$ | 0$ |
| Non-Roster | Pos | Age | Cap Hit | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Tillberg | RW | 22 | 1,000,000$ | 1,000,000$ | |||||||
Anatoliy Potochnyak ![]() | D | 30 | 860,000$ | 860,000$ | |||||||
Arvi-Antti Ahokari ![]() | D | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Brennan Knapp ![]() | C | 25 | 840,000$ | 840,000$ | |||||||
Burt Bannon | G | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Christian Cannan ![]() | D | 34 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Daxton Wentworth ![]() | D | 36 | 700,000$ | 700,000$ | |||||||
Dexter Lovatsis | LW | 22 | 1,168,142$ | 1,168,142$ | |||||||
Dominik Hajas | RW | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Felix-Nicolas Curatolo | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Forester OCorley ![]() | RW | 33 | 1,320,000$ | 1,320,000$ | 1,320,000$ | ||||||
Giovanni Cremen | G | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Griffith Deer | C | 21 | 800,000$ | 800,000$ | |||||||
Jaxson Sergerie ![]() | D | 30 | 980,000$ | 980,000$ | 980,000$ | ||||||
Jeremiah Dunin | D | 23 | 800,000$ | 800,000$ | |||||||
Karl-Erik Vestin | D | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Korey Maciag ![]() | C | 29 | 984,000$ | 984,000$ | |||||||
Maddison Bilcke ![]() | C | 27 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Martti-Veikko Survonen ![]() | D | 30 | 700,000$ | 700,000$ | 700,000$ | ||||||
Noa Mustajarvi | RW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Norman Dobrescu ![]() | LW | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
Pyotr Gach ![]() | LW | 28 | 890,000$ | 890,000$ | 890,000$ | ||||||
Rafael Jewitt ![]() | C | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Sergey Izvolin ![]() | D | 28 | 1,600,000$ | 1,600,000$ | |||||||
Stanislav Budaj | LW | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Tavish Duhatschek ![]() | LW | 34 | 700,000$ | 700,000$ | 700,000$ | ||||||
Torsten Orsa ![]() | C | 33 | 700,000$ | 700,000$ | |||||||
Val Cuming | D | 23 | 800,000$ | 800,000$ | |||||||
Vince Herriot ![]() | LW | 32 | 700,000$ | 700,000$ | 700,000$ | ||||||
Von Holtston ![]() | LW | 28 | 930,000$ | 930,000$ | 930,000$ | ||||||
Xander Henry ![]() | C | 30 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| TOTAL | 30,022,141 $ | 19,769,999$ | 9,199,999$ | 0$ | 0$ | 0$ | 0$ | 0$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Razorbacks | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 45 | 17 | 21 | 6 | 4 | 43 | 16 | 6 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 22 | 41 | 53.66% | 29 | 52 | 55.77% | 11 | 23 | 47.83% | 22 | 13 | 24 | 9 | 17 | 7 | 25.0% | 4.4% | 93.0% | 97.5 | DULL |
| 2 | Stingrays | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 36 | 17 | 9 | 10 | 0 | 36 | 16 | 24 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 22 | 41 | 53.66% | 29 | 52 | 55.77% | 11 | 23 | 47.83% | 21 | 13 | 22 | 7 | 16 | 8 | 75.0% | 8.3% | 97.2% | 105.6 | DULL |
| _Vs Division | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 45 | 17 | 21 | 6 | 4 | 43 | 16 | 6 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 22 | 41 | 53.66% | 29 | 52 | 55.77% | 11 | 23 | 47.83% | 22 | 13 | 24 | 9 | 17 | 7 | 25.0% | 4.4% | 93.0% | 97.5 | DULL | |
| _Vs Conference | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 45 | 17 | 21 | 6 | 4 | 43 | 16 | 6 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 22 | 41 | 53.66% | 29 | 52 | 55.77% | 11 | 23 | 47.83% | 22 | 13 | 24 | 9 | 17 | 7 | 25.0% | 4.4% | 93.0% | 97.5 | DULL | |
| _Since Last GM Reset | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 81 | 34 | 30 | 16 | 4 | 79 | 32 | 30 | 44 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 1 | 22 | 41 | 53.66% | 29 | 52 | 55.77% | 11 | 23 | 47.83% | 43 | 27 | 47 | 17 | 34 | 15 | 50.0% | 6.2% | 94.9% | 101.1 | DULL | |
| Total | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 81 | 34 | 30 | 16 | 4 | 79 | 32 | 30 | 44 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 1 | 22 | 41 | 53.66% | 29 | 52 | 55.77% | 11 | 23 | 47.83% | 43 | 27 | 47 | 17 | 34 | 15 | 50.0% | 6.2% | 94.9% | 101.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 41 |
| Neutral Zone Start | 23 |
| Defensive Zone Start | 52 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 32 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 62 |
| Faceoffs Lost | 54 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 17.0 | 9.57 |
| 2nd Period | 32.0 | 20.31 |
| 3rd Period | 40.0 | 30.68 |
| Overtime | 42.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 3 |
|---|---|
| PP Goal | 1 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 4 |
|---|---|
| PP Goal | 1 |
| PK Attempt | 5 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 40.5 |
| Shots Against | 39.5 |
| Goals For | 2.5 |
| Goals Against | 2.0 |
| Hits | 22.0 |
| Shots Blocked | 16.0 |
| Pim | 15.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 55,448,973$ | 0$ | 58,451,187$ | 548,813$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Hard Rock Place | |
| City | Memphis | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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![]() |
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 110$ | 65$ | 40$ | 30$ | 200$ |
| Attendance | 11258 | 9791 | 3998 | 7658 | 1836 |
| Attendance PCT | 93.82% | 97.91% | 99.95% | 95.73% | 91.80% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 38 | 17271 - 95.95% | 1,776,368$ | 3,552,735$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 55,448,973$ | 55,448,973$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,167,327$ | 55,448,973$ | 1,131,612$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 67,501,965$ | 144 | 389,109$ | 56,031,696$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 59,756,256$ | 58,451,187$ | 57,777,822$ | 65,523,531$ |
| Name | Condition | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Left Wing | ||||||||||||||||||||||
| 100% | 30 yrs | LW | 99 | 55 | 72 | 93 | 99 | 98 | 84 | 91 | 62 | 68 | 74 | 99 | 52 | 43 | 71 | 33 | 86 | 2 | $3,600,000 | |
| 100% | 19 yrs | LW | 82 | 74 | 73 | 77 | 90 | 88 | 73 | 77 | 89 | 54 | 87 | 74 | 84 | 68 | 83 | 64 | 77 | 2 | $1,000,000 | |
| 100% | 19 yrs | LW | 82 | 36 | 67 | 76 | 83 | 80 | 73 | 67 | 75 | 80 | 69 | 80 | 70 | 79 | 77 | 65 | 76 | 2 | $900,000 | |
| 100% | 18 yrs | LW | 67 | 64 | 67 | 83 | 85 | 74 | 84 | 92 | 84 | 55 | 83 | 54 | 65 | 73 | 76 | 72 | 75 | 3 | $1,000,000 | |
| 99% | 34 yrs | LW | 53 | 41 | 99 | 73 | 57 | 75 | 78 | 62 | 62 | 95 | 67 | 67 | 76 | 54 | 89 | 8 | 73 | 2 | $700,000 | |
| 100% | 31 yrs | LW | 83 | 66 | 77 | 85 | 69 | 61 | 68 | 69 | 52 | 53 | 93 | 96 | 40 | 68 | 35 | 19 | 73 | 1 | $1,400,000 | |
| 100% | 28 yrs | LW | 33 | 67 | 92 | 63 | 99 | 99 | 60 | 92 | 72 | 55 | 68 | 66 | 33 | 94 | 79 | 47 | 73 | 2 | $930,000 | |
| 100% | 28 yrs | LW | 58 | 48 | 89 | 76 | 56 | 96 | 53 | 87 | 80 | 84 | 35 | 77 | 45 | 37 | 76 | 35 | 72 | 2 | $890,000 | |
| 100% | 32 yrs | LW | 78 | 50 | 84 | 88 | 95 | 69 | 87 | 56 | 70 | 47 | 65 | 78 | 70 | 53 | 78 | 21 | 72 | 2 | $700,000 | |
| 100% | 22 yrs | LW | 56 | 35 | 63 | 61 | 92 | 80 | 56 | 79 | 78 | 86 | 57 | 44 | 49 | 55 | 88 | 72 | 70 | 1 | $1,168,142 | |
| 100% | 25 yrs | LW | 92 | 59 | 60 | 81 | 92 | 61 | 49 | 87 | 89 | 60 | 44 | 27 | 92 | 93 | 57 | 61 | 65 | 2 | $750,000 | |
| Center | ||||||||||||||||||||||
| 100% | 31 yrs | C | 44 | 49 | 81 | 69 | 99 | 84 | 62 | 84 | 82 | 99 | 92 | 82 | 84 | 64 | 87 | 22 | 82 | 1 | $3,000,000 | |
| 100% | 24 yrs | C | 90 | 55 | 52 | 89 | 99 | 84 | 83 | 76 | 95 | 70 | 66 | 99 | 34 | 70 | 62 | 58 | 82 | 4 | $3,100,000 | |
| 100% | 25 yrs | C | 45 | 35 | 85 | 65 | 95 | 86 | 86 | 66 | 85 | 79 | 91 | 93 | 70 | 43 | 84 | 53 | 81 | 2 | $2,800,000 | |
| 100% | 28 yrs | C | 52 | 46 | 58 | 98 | 90 | 96 | 64 | 81 | 74 | 90 | 56 | 63 | 66 | 57 | 97 | 46 | 78 | 2 | $1,646,873 | |
| 99% | 27 yrs | C | 74 | 64 | 69 | 75 | 55 | 79 | 76 | 74 | 86 | 90 | 98 | 55 | 89 | 82 | 37 | 36 | 76 | 3 | $1,999,999 | |
| 99% | 29 yrs | C | 63 | 44 | 75 | 74 | 99 | 99 | 50 | 82 | 73 | 86 | 64 | 36 | 87 | 68 | 84 | 33 | 74 | 1 | $984,000 | |
| 100% | 33 yrs | C | 81 | 43 | 60 | 70 | 92 | 61 | 82 | 85 | 64 | 74 | 59 | 60 | 61 | 60 | 62 | 22 | 72 | 1 | $700,000 | |
| 100% | 33 yrs | C | 39 | 54 | 84 | 67 | 51 | 58 | 70 | 83 | 75 | 84 | 82 | 85 | 85 | 93 | 45 | 14 | 72 | 3 | $1,300,000 | |
| 100% | 30 yrs | C | 75 | 61 | 81 | 83 | 98 | 90 | 52 | 89 | 92 | 50 | 65 | 48 | 57 | 99 | 96 | 31 | 72 | 3 | $900,000 | |
| 100% | 21 yrs | C | 82 | 55 | 51 | 74 | 64 | 74 | 70 | 83 | 66 | 73 | 39 | 78 | 30 | 87 | 42 | 76 | 69 | 1 | $800,000 | |
| 100% | 25 yrs | C | 73 | 57 | 83 | 74 | 42 | 62 | 89 | 86 | 92 | 49 | 65 | 55 | 72 | 93 | 88 | 61 | 67 | 1 | $840,000 | |
| Right Wing | ||||||||||||||||||||||
| 100% | 30 yrs | RW | 62 | 62 | 63 | 93 | 99 | 99 | 76 | 99 | 61 | 78 | 99 | 89 | 41 | 69 | 71 | 26 | 86 | 3 | $10,500,000 | |
| 100% | 23 yrs | RW | 79 | 49 | 92 | 60 | 98 | 71 | 97 | 79 | 88 | 86 | 49 | 77 | 64 | 58 | 78 | 62 | 79 | 5 | $2,400,000 | |
| 100% | 33 yrs | RW | 46 | 53 | 67 | 82 | 87 | 97 | 83 | 76 | 98 | 59 | 78 | 70 | 41 | 37 | 67 | 13 | 77 | 1 | $1,600,000 | |
| 100% | 21 yrs | RW | 76 | 65 | 42 | 96 | 78 | 92 | 85 | 56 | 65 | 71 | 82 | 82 | 86 | 78 | 69 | 69 | 77 | 2 | $900,000 | |
| 100% | 21 yrs | RW | 86 | 35 | 92 | 57 | 88 | 67 | 58 | 93 | 46 | 89 | 52 | 99 | 29 | 49 | 53 | 75 | 76 | 1 | $900,000 | |
| 100% | 33 yrs | RW | 61 | 58 | 84 | 94 | 79 | 80 | 83 | 52 | 91 | 56 | 92 | 66 | 61 | 42 | 57 | 13 | 75 | 2 | $1,320,000 | |
| 100% | 21 yrs | RW | 87 | 49 | 71 | 78 | 72 | 88 | 68 | 57 | 64 | 72 | 48 | 91 | 47 | 63 | 35 | 68 | 72 | 3 | $800,000 | |
| 100% | 22 yrs | RW | 57 | 58 | 71 | 61 | 62 | 85 | 65 | 96 | 77 | 81 | 63 | 52 | 41 | 26 | 54 | 67 | 71 | 1 | $1,000,000 | |
| Defense | ||||||||||||||||||||||
| 100% | 23 yrs | D | 84 | 55 | 89 | 90 | 89 | 91 | 90 | 96 | 25 | 66 | 49 | 82 | 51 | 98 | 55 | 66 | 82 | 4 | $4,130,000 | |
| 100% | 32 yrs | D | 89 | 69 | 92 | 87 | 98 | 66 | 52 | 94 | 25 | 79 | 83 | 70 | 94 | 79 | 59 | 13 | 80 | 3 | $3,550,000 | |
| 100% | 37 yrs | D | 55 | 67 | 81 | 98 | 90 | 76 | 89 | 72 | 25 | 83 | 68 | 57 | 97 | 45 | 44 | 0 | 79 | 1 | $1,500,000 | |
| 100% | 34 yrs | D | 96 | 45 | 60 | 81 | 54 | 93 | 97 | 71 | 25 | 72 | 37 | 95 | 91 | 65 | 50 | 5 | 77 | 2 | $2,783,000 | |
| 100% | 28 yrs | D | 73 | 55 | 69 | 98 | 97 | 72 | 88 | 76 | 25 | 72 | 58 | 57 | 80 | 42 | 83 | 32 | 77 | 3 | $2,290,000 | |
| 100% | 32 yrs | D | 87 | 52 | 93 | 72 | 92 | 78 | 81 | 73 | 25 | 78 | 41 | 64 | 44 | 41 | 98 | 17 | 76 | 3 | $1,500,000 | |
| 100% | 37 yrs | D | 72 | 68 | 96 | 92 | 96 | 77 | 87 | 56 | 25 | 65 | 76 | 49 | 51 | 84 | 46 | 0 | 76 | 2 | $2,300,000 | |
| 100% | 23 yrs | D | 81 | 46 | 73 | 95 | 87 | 88 | 87 | 62 | 25 | 75 | 58 | 59 | 86 | 68 | 67 | 63 | 76 | 1 | $800,000 | |
| 100% | 28 yrs | D | 49 | 60 | 66 | 92 | 85 | 86 | 53 | 69 | 25 | 87 | 68 | 72 | 64 | 90 | 44 | 32 | 73 | 1 | $1,600,000 | |
| 100% | 21 yrs | D | 52 | 52 | 58 | 98 | 92 | 67 | 76 | 90 | 25 | 42 | 78 | 56 | 32 | 56 | 47 | 71 | 72 | 3 | $800,000 | |
| 100% | 20 yrs | D | 65 | 63 | 66 | 73 | 75 | 78 | 75 | 73 | 51 | 69 | 60 | 81 | 70 | 58 | 67 | 74 | 72 | 3 | $900,000 | |
| 100% | 30 yrs | D | 97 | 52 | 76 | 67 | 54 | 79 | 73 | 61 | 25 | 77 | 43 | 73 | 69 | 49 | 81 | 35 | 70 | 2 | $980,000 | |
| 100% | 36 yrs | D | 48 | 64 | 73 | 88 | 92 | 61 | 49 | 56 | 25 | 67 | 61 | 81 | 77 | 42 | 41 | 4 | 70 | 1 | $700,000 | |
| 100% | 34 yrs | D | 51 | 35 | 95 | 83 | 77 | 62 | 74 | 87 | 25 | 71 | 52 | 76 | 74 | 36 | 84 | 10 | 70 | 2 | $1,100,000 | |
| 100% | 30 yrs | D | 46 | 48 | 97 | 71 | 58 | 68 | 82 | 68 | 25 | 84 | 68 | 72 | 57 | 59 | 62 | 31 | 69 | 2 | $700,000 | |
| 100% | 30 yrs | D | 85 | 67 | 98 | 74 | 69 | 54 | 71 | 63 | 25 | 44 | 62 | 70 | 36 | 85 | 72 | 28 | 68 | 1 | $860,000 | |
| 100% | 23 yrs | D | 88 | 35 | 86 | 77 | 80 | 53 | 58 | 87 | 25 | 43 | 46 | 67 | 70 | 78 | 95 | 62 | 67 | 1 | $800,000 | |
| Name | Condition | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Goaltender | |||||||||||||||||||||
| 98% | 24 yrs | G | 65 | 76 | 84 | 85 | 96 | 75 | 96 | 85 | 55 | 91 | 68 | 55 | 49 | 54 | 50 | 81 | 4 | $4,050,100 | |
| 100% | 27 yrs | G | 55 | 83 | 88 | 83 | 79 | 73 | 99 | 53 | 72 | 94 | 98 | 43 | 88 | 38 | 50 | 78 | 3 | $1,999,000 | |
| 100% | 22 yrs | G | 80 | 99 | 72 | 76 | 87 | 80 | 52 | 58 | 74 | 72 | 47 | 32 | 66 | 69 | 50 | 75 | 2 | $800,000 | |
| 100% | 22 yrs | G | 58 | 61 | 66 | 72 | 71 | 64 | 59 | 90 | 52 | 88 | 69 | 53 | 28 | 75 | 50 | 68 | 2 | $800,000 | |
| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
|---|---|---|---|---|---|
| 7 | ![]() | ![]() | ![]() ![]() ![]() | ![]() | ![]() ![]() |
| 8 | ![]() | ![]() | ![]() | ![]() | |
| 9 | ![]() | ![]() | ![]() | ![]() | ![]() |
| 10 | ![]() | ![]() | ![]() | ![]() | ![]() |
| 11 | ![]() | ![]() | ![]() | ![]() | ![]() |
| Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Draft Info | Current Junior Stats |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alois Vimr | 20 | D | 52 | 58 | 51 | 69 | 72 | 83 | 86 | 78 | 68 | 65 | 79 | 60 | 57 | 68 | 62 | 62 | 71 | Year: 4 Round: 4 Pick: 95 | GP: 6 G: 0 A:2 Pts: 2 |
| Dalimir Krupansky | 19 | LW | 63 | 68 | 56 | 62 | 81 | 56 | 86 | 55 | 69 | 52 | 72 | 82 | 73 | 67 | 53 | 75 | 67 | Year: 6 Round: 5 Pick: 121 | GP: 6 G: 0 A:2 Pts: 2 |
| Erik Beito | 19 | RW | 73 | 54 | 63 | 69 | 80 | 60 | 69 | 59 | 70 | 62 | 78 | 77 | 65 | 62 | 71 | 64 | 69 | Year: 5 Round: 5 Pick: 103 | GP: 6 G: 2 A:3 Pts: 5 |
| Florentin Drose | 19 | C | 80 | 62 | 27 | 75 | 72 | 70 | 72 | 46 | 56 | 67 | 67 | 74 | 70 | 55 | 49 | 65 | 66 | Year: 6 Round: 4 Pick: 95 | GP: 6 G: 4 A:2 Pts: 6 |
| Hynek Vasak | 19 | D | 36 | 62 | 64 | 81 | 64 | 76 | 79 | 65 | 74 | 79 | 66 | 59 | 63 | 52 | 74 | 57 | 70 | Year: 5 Round: 5 Pick: 99 | GP: 6 G: 0 A:6 Pts: 6 |
| Nathaniel Radmacher | 20 | RW | 57 | 58 | 66 | 70 | 77 | 66 | 83 | 77 | 56 | 72 | 67 | 75 | 60 | 54 | 62 | 79 | 71 | Year: 4 Round: 5 Pick: 108 | GP: 6 G: 2 A:3 Pts: 5 |
| Phillipp Hegglin | 20 | C | 87 | 64 | 44 | 64 | 70 | 78 | 75 | 61 | 76 | 78 | 68 | 71 | 51 | 52 | 58 | 54 | 71 | Year: 5 Round: 5 Pick: 120 | GP: 6 G: 3 A:2 Pts: 5 |
| Walter Waspe | 19 | D | 65 | 64 | 71 | 85 | 80 | 78 | 73 | 69 | 61 | 77 | 71 | 48 | 62 | 73 | 63 | 64 | 73 | Year: 6 Round: 2 Pick: 52 | GP: 6 G: 2 A:4 Pts: 6 |
| Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | Draft Info | Current Junior Stats |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Daniil Dauge | 18 | G | 80 | 60 | 78 | 80 | 75 | 63 | 69 | 72 | 65 | 71 | 74 | 71 | 59 | 77 | 71 | Year: 6 Round: 3 Pick: 63 | GP:4 W:2, SV%:0.912, GAA:2.63 |
| Season | Team | GP | W | L | OTW | OWL | SOW | SOL | Pts | GF | GA | Diff | SHF | SHA | SHB | Pim | Hits | PP% | PK% |
| 1 | Blues | 80 | 28 | 30 | 6 | 8 | 7 | 1 | 91 | 275 | 278 | -3 | 2952 | 2775 | 992 | 716 | 1743 | 17.01% | 78.92% |
| 2 | Blues | 80 | 38 | 25 | 3 | 6 | 5 | 3 | 101 | 283 | 249 | 34 | 3092 | 2867 | 928 | 811 | 1748 | 19.08% | 86.02% |
| 3 | Blues | 80 | 30 | 31 | 6 | 2 | 4 | 7 | 89 | 262 | 253 | 9 | 2941 | 2815 | 980 | 622 | 1779 | 23.45% | 84.26% |
| 4 | Blues | 80 | 26 | 43 | 2 | 2 | 3 | 4 | 68 | 236 | 282 | -46 | 2834 | 2831 | 932 | 692 | 1694 | 18.66% | 81.16% |
| 5 | Blues | 80 | 36 | 30 | 2 | 4 | 5 | 3 | 93 | 264 | 247 | 17 | 2893 | 2813 | 891 | 701 | 1687 | 23.18% | 83.41% |
| Playoffs | |||||||||||||||||||
| 1 | Blues | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 8 | 37 | 46 | -9 | 447 | 411 | 120 | 92 | 225 | 26.67% | 73.08% |
| 2 | Blues | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 4 | 14 | 16 | -2 | 219 | 197 | 58 | 24 | 144 | 10% | 83.33% |
| 5 | Blues | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 2 | 11 | 19 | -8 | 197 | 179 | 63 | 30 | 116 | 18.18% | 90% |
Traded Kory Nestor to
for Y8:BLU-R32026/02/17 -
Traded Lukas Weller to
for Hendy Meen2025/10/12 -
Traded Washington Banker to
for Y5:STI-R52025/10/10 -
Traded Alois Vimr(P) to
for Y5:BLU-R12025/10/08 -
Traded Y5:DOC-R4 and Y5:STI-R5 to
for Y5:BLU-R42025/10/06 -
Traded Tod Benedict to
for Y5:BLU-R3 and Y6:BLU-R32025/06/27 -
Traded Julien Ghantous, Sergey Izvolin, Maddison Bilcke and Y7:CHA-R3 to
for Steven Pinsonneault and Vsevolod Neretin2025/06/24 -
Traded Romeo Rocca, Andrei Flatley and Y7:VOL-R5 to
for Niclas Saarelainen2025/06/24 -
Traded Kodi Lapalme, Jeremiah Dunin, Raphael Dupuis and Noa Mustajarvi(P) to
for Frederic Marini and Y6:BLU-R22025/03/10 -
Traded Vsevolod Neretin and Y6:HAR-R2 to
for Ikki Miyamae2025/03/10 -
Traded Elias Dansereau, Benjamin Joule, Jared Tallon, Y7:VOL-R3 and Y5:VOL-R5 to
for Cliff Deruelle, Andrei Flatley and Ivan Luks2025/02/18 -
Traded Nevin Wakaluk to
for Loren Seeberg2025/02/16 -
Traded Y6:RED-R3 to
for Y4:BLU-R4 and Y4:KNI-R42025/02/08 -
Traded Niclas Saarelainen, John-Michael Mcdonough and Felix-Nicolas Curatolo(P) to
for Errol Merwin2024/06/26 -
Traded Y3:BLU-R5 and Y3:BAN-R5 to
for Y4:KNI-R4 and Y5:BLI-R52024/06/23 -
Traded Y5:TWI-R5, Y4:TWI-R5 and Y5:TWI-R2 to
for Y3:BLU-R32024/03/31 -
Traded Loren Converse to
for Andrei Flatley2024/02/28 -
Traded Daniel Weber and Y3:BAN-R5 to
for Kiefer Zoerb, Y3:BLU-R4 and Y4:ROY-R3
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Website created by the SimonT Hockey Simulator (STHS) for Michael Green - The database was created : 6/17/2026 9:30:07 PM