

























GP | W | L | OT | Pts |
---|---|---|---|---|
6 | 2 | 2 | 2 | 6 |
# | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11 | ![]() | RW | 100.00 | 70 | 51 | 88 | 82 | 78 | 93 | 92 | 99 | 66 | 99 | 42 | 99 | 51 | 75 | 44 | 13 | 85 | 32 | 1,599,000$/1yrs | ||||
13 | ![]() | C | 100.00 | 95 | 53 | 74 | 60 | 78 | 76 | 71 | 92 | 61 | 88 | 88 | 64 | 53 | 47 | 47 | 5 | 78 | 34 | 1,419,000$/2yrs | ||||
10 | ![]() | RW | 100.00 | 56 | 68 | 95 | 86 | 97 | 96 | 71 | 75 | 72 | 51 | 74 | 79 | 39 | 83 | 71 | 12 | 77 | 36 | 1,204,000$/2yrs | ||||
26 | ![]() | LW | 100.00 | 78 | 36 | 75 | 79 | 79 | 91 | 94 | 69 | 71 | 56 | 88 | 71 | 50 | 79 | 39 | 37 | 77 | 28 | 939,000$/1yrs | ||||
37 | ![]() | LW | 100.00 | 80 | 55 | 64 | 59 | 69 | 83 | 55 | 88 | 75 | 72 | 89 | 81 | 46 | 94 | 75 | 75 | 74 | 19 | 2,030,000$/4yrs | ||||
24 | ![]() | LW | 100.00 | 41 | 46 | 94 | 99 | 53 | 97 | 52 | 91 | 56 | 70 | 72 | 64 | 74 | 50 | 79 | 50 | 73 | 26 | 903,000$/1yrs | ||||
22 | ![]() | LW | 100.00 | 81 | 41 | 88 | 98 | 70 | 70 | 41 | 94 | 91 | 52 | 98 | 54 | 60 | 80 | 52 | 32 | 73 | 28 | 1,054,000$/1yrs | ||||
9 | ![]() | RW | 100.00 | 65 | 65 | 67 | 71 | 37 | 75 | 71 | 96 | 94 | 53 | 94 | 84 | 83 | 62 | 98 | 15 | 72 | 32 | 934,000$/1yrs | ||||
12 | ![]() | C | 100.00 | 88 | 38 | 96 | 62 | 35 | 73 | 54 | 96 | 97 | 54 | 84 | 94 | 68 | 68 | 46 | 5 | 72 | 35 | 1,354,000$/2yrs | ||||
12 | ![]() | RW | 100.00 | 52 | 60 | 94 | 58 | 63 | 94 | 42 | 90 | 85 | 88 | 85 | 31 | 52 | 55 | 74 | 36 | 71 | 29 | 2,200,000$/4yrs | ||||
21 | ![]() | C | 100.00 | 38 | 47 | 65 | 58 | 90 | 59 | 61 | 92 | 99 | 76 | 60 | 73 | 35 | 38 | 62 | 36 | 71 | 28 | 211,750$/4yrs | ||||
8 | ![]() | C | 100.00 | 36 | 51 | 79 | 52 | 34 | 70 | 88 | 92 | 94 | 42 | 96 | 93 | 55 | 72 | 42 | 6 | 69 | 35 | 564,000$/1yrs | ||||
63 | ![]() | D | 100.00 | 90 | 63 | 86 | 76 | 73 | 95 | 90 | 99 | 25 | 79 | 76 | 50 | 39 | 79 | 65 | 19 | 78 | 31 | 1,019,000$/4yrs | ||||
42 | ![]() | D | 100.00 | 75 | 70 | 77 | 57 | 52 | 65 | 88 | 99 | 25 | 84 | 56 | 98 | 72 | 85 | 89 | 17 | 73 | 32 | 999,000$/2yrs | ||||
61 | ![]() | D | 100.00 | 50 | 60 | 70 | 56 | 61 | 99 | 71 | 85 | 25 | 70 | 41 | 99 | 73 | 44 | 57 | 6 | 69 | 34 | 569,000$/1yrs | ||||
43 | ![]() | D | 100.00 | 60 | 59 | 60 | 62 | 74 | 72 | 75 | 99 | 25 | 66 | 36 | 74 | 64 | 37 | 43 | 4 | 66 | 34 | 324,000$/1yrs | ||||
55 | ![]() | D | 100.00 | 67 | 42 | 71 | 59 | 48 | 81 | 36 | 94 | 25 | 53 | 61 | 81 | 72 | 35 | 75 | 71 | 62 | 20 | 326,000$/2yrs | ||||
60 | ![]() | D | 100.00 | 74 | 49 | 83 | 55 | 44 | 72 | 54 | 88 | 25 | 46 | 39 | 92 | 80 | 64 | 98 | 18 | 60 | 31 | 244,000$/2yrs | ||||
TEAM AVERAGE | 100.00 | 66 | 53 | 79 | 68 | 63 | 81 | 67 | 91 | 62 | 67 | 71 | 77 | 59 | 64 | 64 | 25 | 72 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 100.00 | 82 | 74 | 56 | 79 | 81 | 86 | 98 | 85 | 95 | 82 | 95 | 56 | 71 | 22 | 82 | 31 | 2,010,000$/2yrs |
31 | ![]() | 100.00 | 79 | 86 | 72 | 79 | 90 | 86 | 84 | 77 | 91 | 69 | 85 | 66 | 51 | 70 | 81 | 21 | 1,000,000$/3yrs |
TEAM AVERAGE | 100.00 | 81 | 80 | 64 | 79 | 86 | 86 | 91 | 81 | 93 | 76 | 90 | 61 | 61 | 46 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Julian Weiss | 93 | 29 | 94 | 97 | 37 | 99 | 66 | USA | 43 | 4 | 2,500,000$ |
General Manager | Keith Evans |
---|
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 | Ron Lebar | ![]() | C | 6 | 5 | 3 | 8 | 2 | 0 | 0 | 11 | 19 | 6 | 10 | 26.32% | 5 | 16.41 | 2 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 1 | 57.84% | 0 | 0 | 1.33 | 1 | 1 | 1.45 | |||
2 | Oleg Svitov | ![]() | D | 6 | 0 | 5 | 5 | 0 | 21 | 5 | 12 | 18 | 6 | 10 | 0.00% | 15 | 27.32 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.83 | 0 | 2 | 0.33 | |||
3 | Jean-Rene Deeg | ![]() | C | 6 | 1 | 3 | 4 | -5 | 5 | 5 | 3 | 18 | 9 | 12 | 5.56% | 2 | 14.59 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 47.73% | 0 | 0 | 0.67 | 0 | 0 | 0.32 | |||
4 | Ed Zandbeek | ![]() | D | 6 | 0 | 3 | 3 | 0 | 0 | 0 | 10 | 13 | 2 | 10 | 0.00% | 9 | 26.25 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.59 | |||
5 | Dennis Kendal | ![]() | RW | 6 | 2 | 1 | 3 | 2 | 0 | 0 | 1 | 26 | 2 | 8 | 7.69% | 0 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.84 | |||
6 | Nicolas Milliner | ![]() | RW | 6 | 1 | 2 | 3 | 0 | 0 | 0 | 11 | 17 | 2 | 11 | 5.88% | 8 | 16.06 | 0 | 2 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 62.50% | 0 | 0 | 0.50 | 0 | 0 | 0.68 | |||
7 | Usevalad Skshynetski | ![]() | LW | 6 | 2 | 0 | 2 | -1 | 0 | 0 | 0 | 15 | 4 | 13 | 13.33% | 2 | 15.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64.29% | 0 | 0 | 0.33 | 0 | 1 | 0.46 | |||
8 | Pavel Boyko | ![]() | C | 6 | 0 | 2 | 2 | -2 | 0 | 0 | 13 | 6 | 1 | 5 | 0.00% | 1 | 15.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.04% | 0 | 0 | 0.33 | 0 | 0 | 0.21 | |||
9 | Vladilen Misin | ![]() | LW | 6 | 1 | 1 | 2 | 2 | 0 | 0 | 8 | 6 | 3 | 7 | 16.67% | 4 | 15.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.33 | 0 | 0 | 0.53 | |||
10 | Polikarp Zlotsky | ![]() | LW | 6 | 2 | 0 | 2 | -5 | 0 | 0 | 23 | 10 | 6 | 7 | 20.00% | 4 | 14.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.33 | 0 | 0 | 0.26 | |||
11 | Pyotr Pakholkov | ![]() | D | 6 | 0 | 1 | 1 | -8 | 4 | 0 | 14 | 11 | 2 | 6 | 0.00% | 9 | 28.41 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 2 | -0.23 | |||
12 | Melvin Hertz | ![]() | D | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 9 | 4 | 6 | 0.00% | 1 | 17.90 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.30 | |||
13 | Freddie Frizzell | ![]() | RW | 6 | 1 | 0 | 1 | -5 | 0 | 0 | 2 | 11 | 5 | 5 | 9.09% | 0 | 13.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.17 | 0 | 0 | 0.00 | |||
14 | Marten Gronvall | ![]() | LW | 6 | 0 | 1 | 1 | -4 | 0 | 0 | 16 | 40 | 12 | 19 | 0.00% | 0 | 16.87 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 53.85% | 0 | 0 | 0.17 | 0 | 0 | 0.56 | |||
15 | Amadeus Helm | ![]() | RW | 6 | 0 | 0 | 0 | -4 | 0 | 0 | 18 | 8 | 1 | 10 | 0.00% | 3 | 16.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76.47% | 0 | 0 | 0.00 | 0 | 2 | 0.01 | |||
16 | Cortney OClerkin | ![]() | C | 6 | 0 | 0 | 0 | -4 | 0 | 0 | 0 | 8 | 5 | 3 | 0.00% | 6 | 16.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
17 | Genadz Bubnow | ![]() | D | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 2.29 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.07 | |||
18 | Carl-Luc Alzner | ![]() | D | 6 | 0 | 0 | 0 | -7 | 0 | 0 | 4 | 1 | 2 | 0 | 0.00% | 1 | 16.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.38 | |||
Team Total or Average | 108 | 15 | 23 | 38 | -38 | 30 | 10 | 157 | 236 | 72 | 142 | 6.36% | 71 | 16.87 | 2 | 3 | 5 | 61 | 0 | 0 | 0 | 31 | 1 | 1 | 52.67% | 431 | 39 | 43 | 0 | 0 | 0.42 | 1 | 8 |
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 | Leon Campaner | ![]() | 4 | 2 | 2 | 0 | 0.899 | 3.81 | 189 | 0 | 0 | 12 | 119 | 49 | 0 | 0 | 1.000 | 5 | 4 | 2 | 0 | 1 | 0 |
2 | Andrew Wiewel | ![]() | 4 | 0 | 0 | 2 | 0.915 | 3.02 | 179 | 0 | 0 | 9 | 106 | 40 | 0 | 1 | 0.667 | 3 | 2 | 4 | 0 | 0 | 0 |
Team Total or Average | 8 | 2 | 2 | 2 | 0.907 | 3.42 | 369 | 0 | 0 | 21 | 225 | 89 | 0 | 1 | 0.875 | 8 | 6 | 6 | 0 | 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 | 20 |
Neutral Zone | 16 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 157 |
Neutral Zone Start | 98 |
Defensive Zone Start | 162 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 227 |
Faceoffs Lost | 190 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 15.0 | 9.57 |
2nd Period | 28.3 | 20.31 |
3rd Period | 39.0 | 30.68 |
Overtime | 40.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 0 | 2 |
Overtime Lost | 2 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 2 |
PK Attempt | 5 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 39.3 |
Shots Against | 37.7 |
Goals For | 2.7 |
Goals Against | 3.8 |
Hits | 26.2 |
Shots Blocked | 11.8 |
Pim | 5.0 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 46,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
Contracts | 55/55 |
LTIR Players | 0 |
Militia Roster | Pos | Age | Cap Hit | 2-3 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Amadeus Helm ![]() | RW | 32 | 934,000$ | 934,000$ | |||||||
Andrew Wiewel ![]() | G | 31 | 2,010,000$ | 2,010,000$ | 2,010,000$ | ||||||
Carl-Luc Alzner ![]() | D | 34 | 324,000$ | 324,000$ | |||||||
Cortney OClerkin ![]() | C | 35 | 564,000$ | 564,000$ | |||||||
Dennis Kendal ![]() | RW | 29 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||||
Ed Zandbeek ![]() | D | 32 | 999,000$ | 999,000$ | 999,000$ | ||||||
Freddie Frizzell ![]() | RW | 36 | 1,204,000$ | 1,204,000$ | 1,204,000$ | ||||||
Genadz Bubnow ![]() | D | 20 | 326,000$ | 326,000$ | 326,000$ | ||||||
Jean-Rene Deeg ![]() | C | 28 | 211,750$ | 234,000$ | 213,000$ | 200,000$ | 200,000$ | ||||
Leon Campaner ![]() | G | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Marten Gronvall ![]() | LW | 28 | 1,054,000$ | 1,054,000$ | |||||||
Melvin Hertz ![]() | D | 31 | 1,019,000$ | 1,019,000$ | 1,019,000$ | 1,019,000$ | 1,019,000$ | ||||
Nicolas Milliner ![]() | RW | 32 | 1,599,000$ | 1,599,000$ | |||||||
Oleg Svitov ![]() | D | 34 | 569,000$ | 569,000$ | |||||||
Pavel Boyko ![]() | C | 34 | 1,419,000$ | 1,419,000$ | 1,419,000$ | ||||||
Polikarp Zlotsky ![]() | LW | 19 | 2,030,000$ | 2,030,000$ | 2,030,000$ | 2,030,000$ | 2,030,000$ | ||||
Pyotr Pakholkov ![]() | D | 31 | 244,000$ | 244,000$ | 244,000$ | ||||||
Ron Lebar ![]() | C | 35 | 1,354,000$ | 1,354,000$ | 1,354,000$ | ||||||
Usevalad Skshynetski ![]() | LW | 26 | 903,000$ | 903,000$ | |||||||
Vladilen Misin ![]() | LW | 28 | 939,000$ | 939,000$ | |||||||
TOTAL | 20,925,000$ | 14,018,000$ | 6,449,000$ | 5,449,000$ | 0$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrey Korobkin ![]() | D | 32 | 600,000$ | 600,000$ | 600,000$ | 600,000$ | 600,000$ | ||||
Angus Nilsson ![]() | RW | 21 | 310,000$ | 310,000$ | |||||||
Anton Alekhin ![]() | LW | 29 | 800,000$ | 800,000$ | 800,000$ | ||||||
Conny Ericsson ![]() | D | 31 | 764,000$ | 764,000$ | 764,000$ | 764,000$ | 764,000$ | ||||
Derk Kaye ![]() | G | 22 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Donald Cloud ![]() | C | 32 | 654,000$ | 654,000$ | |||||||
Edgardo Macdowall ![]() | D | 35 | 714,000$ | 714,000$ | 714,000$ | ||||||
Ezra Baskerville ![]() | C | 34 | 519,000$ | 519,000$ | 519,000$ | ||||||
Flint Nestor ![]() | D | 34 | 719,000$ | 719,000$ | |||||||
Gabryel Blacklock ![]() | RW | 30 | 734,000$ | 734,000$ | 734,000$ | ||||||
Grayson Waldrep ![]() | LW | 19 | 296,000$ | 296,000$ | 296,000$ | ||||||
Igor Gabrelyanov ![]() | D | 31 | 324,000$ | 324,000$ | 324,000$ | 324,000$ | |||||
Jared Whiteley ![]() | RW | 29 | 514,000$ | 514,000$ | 514,000$ | 514,000$ | 514,000$ | ||||
Jari-Henri Hakkinen ![]() | G | 35 | 850,000$ | 850,000$ | |||||||
Jeffrey Mitton ![]() | C | 24 | 903,000$ | 903,000$ | 903,000$ | ||||||
Jim Gloeckner ![]() | G | 24 | 1,751,000$ | 1,751,000$ | 1,751,000$ | ||||||
Jonah Lakovic ![]() | LW | 24 | 1,138,000$ | 1,138,000$ | |||||||
Korey Maciag ![]() | C | 25 | 1,138,000$ | 1,138,000$ | 1,138,000$ | ||||||
Lazar Kisfaludy ![]() | LW | 30 | 304,000$ | 304,000$ | |||||||
Lazlo Sergent ![]() | D | 21 | 1,185,000$ | 1,185,000$ | |||||||
Lorenzo Porritt ![]() | RW | 32 | 879,000$ | 879,000$ | 879,000$ | ||||||
Luca Connelley ![]() | D | 35 | 1,800,000$ | 1,800,000$ | |||||||
Luigi Kinnunen ![]() | LW | 26 | 460,000$ | 460,000$ | 460,000$ | ||||||
Magnus Sjodahl ![]() | D | 19 | 1,325,000$ | 1,325,000$ | 1,325,000$ | ||||||
Maitland Mcclerey ![]() | C | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Manuel Albertazzi ![]() | D | 24 | 264,000$ | 264,000$ | 264,000$ | ||||||
Odell Kell ![]() | LW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Patrice Desrosiers ![]() | C | 28 | 307,000$ | 307,000$ | |||||||
Remi Northey ![]() | RW | 25 | 863,000$ | 863,000$ | 863,000$ | 863,000$ | 863,000$ | ||||
River Mcquinston ![]() | RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Robin Zenisek ![]() | D | 34 | 650,000$ | 650,000$ | 650,000$ | ||||||
Roland Deichmann ![]() | D | 26 | 550,000$ | 550,000$ | 550,000$ | 550,000$ | |||||
Russ Berlin ![]() | RW | 29 | 1,054,000$ | 1,054,000$ | 1,054,000$ | 1,054,000$ | |||||
Vilpas Gripenberg ![]() | LW | 27 | 293,000$ | 293,000$ | 293,000$ | ||||||
Zach Bamford ![]() | C | 31 | 284,000$ | 284,000$ | 284,000$ | ||||||
TOTAL | 28,046,000 $ | 20,779,000$ | 6,669,000$ | 2,741,000$ | 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 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 5 | 10 | 0 | 0 | 0 | 2 | 2 | 1 | 89 | 27 | 32 | 30 | 5 | 74 | 25 | 6 | 58 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 44 | 27 | 47 | 16 | 33 | 16 | 55.6% | 5.6% | 93.2% | 98.9 | DULL |
2 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 11 | -6 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 83 | 35 | 21 | 25 | 5 | 81 | 27 | 22 | 44 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 43 | 27 | 48 | 17 | 32 | 16 | 26.7% | 6.0% | 86.4% | 92.4 | Unlucky |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 1 | 0 | 4 | 1 | 1 | 0 | 64 | 28 | 27 | 9 | 0 | 71 | 19 | 2 | 55 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 36 | 20 | 50 | 17 | 33 | 15 | 41.7% | 9.4% | 90.1% | 99.5 | FUN |
_Vs Division | 6 | 1 | 2 | 0 | 0 | 1 | 1 | 1 | 16 | 23 | -7 | 6 | 0.500 | 16 | 23 | 39 | 1 | 0 | 5 | 5 | 5 | 1 | 236 | 90 | 80 | 64 | 10 | 226 | 71 | 30 | 157 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 123 | 75 | 146 | 51 | 99 | 48 | 38.9% | 6.8% | 89.8% | 96.6 | Unlucky | |
_Vs Conference | 6 | 1 | 2 | 0 | 0 | 1 | 1 | 1 | 16 | 23 | -7 | 6 | 0.500 | 16 | 23 | 39 | 1 | 0 | 5 | 5 | 5 | 1 | 236 | 90 | 80 | 64 | 10 | 226 | 71 | 30 | 157 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 123 | 75 | 146 | 51 | 99 | 48 | 38.9% | 6.8% | 89.8% | 96.6 | Unlucky | |
_Since Last GM Reset | 6 | 1 | 2 | 0 | 0 | 1 | 1 | 1 | 16 | 23 | -7 | 6 | 0.500 | 16 | 23 | 39 | 1 | 0 | 5 | 5 | 5 | 1 | 236 | 90 | 80 | 64 | 10 | 226 | 71 | 30 | 157 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 123 | 75 | 146 | 51 | 99 | 48 | 38.9% | 6.8% | 89.8% | 96.6 | Unlucky | |
Total | 6 | 1 | 2 | 0 | 0 | 1 | 1 | 1 | 16 | 23 | -7 | 6 | 0.500 | 16 | 23 | 39 | 1 | 0 | 5 | 5 | 5 | 1 | 236 | 90 | 80 | 64 | 10 | 226 | 71 | 30 | 157 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 82 | 157 | 52.23% | 84 | 162 | 51.85% | 61 | 98 | 62.24% | 123 | 75 | 146 | 51 | 99 | 48 | 38.9% | 6.8% | 89.8% | 96.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 16 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 157 |
Neutral Zone Start | 98 |
Defensive Zone Start | 162 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 227 |
Faceoffs Lost | 190 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 15.0 | 9.57 |
2nd Period | 28.3 | 20.31 |
3rd Period | 39.0 | 30.68 |
Overtime | 40.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 0 | 2 |
Overtime Lost | 2 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 2 |
PK Attempt | 5 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 39.3 |
Shots Against | 37.7 |
Goals For | 2.7 |
Goals Against | 3.8 |
Hits | 26.2 |
Shots Blocked | 11.8 |
Pim | 5.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Nov 22 | ![]() | @ | ![]() | KNI3,MIL4 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | STI4,MIL3 (SO) | RECAP | |||||||||
Sun, Nov 26 | ![]() | @ | ![]() | MIL3,MIG2 (SO) | RECAP | |||||||||
Mon, Nov 27 | ![]() | @ | ![]() | MIG3,MIL2 (OT) | RECAP | |||||||||
Tue, Nov 28 | ![]() | @ | ![]() | MIL2,KNI4 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Nov 29 | ![]() | @ | ![]() | MIL2,STI7 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
20,925,000$ | 0$ | 0$ | 46,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Armed Forces Ice Palace | |
City | Massachusetts | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
20,925,000$ | 20,902,750$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 34,509,374$ | 34,509,374$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
28 yrs | LW | 78 | 36 | 75 | 79 | 79 | 91 | 94 | 69 | 71 | 56 | 88 | 71 | 50 | 79 | 39 | 37 | 77 | |
19 yrs | LW | 80 | 55 | 64 | 59 | 69 | 83 | 55 | 88 | 75 | 72 | 89 | 81 | 46 | 94 | 75 | 75 | 74 | |
26 yrs | LW | 41 | 46 | 94 | 99 | 53 | 97 | 52 | 91 | 56 | 70 | 72 | 64 | 74 | 50 | 79 | 50 | 73 | |
28 yrs | LW | 81 | 41 | 88 | 98 | 70 | 70 | 41 | 94 | 91 | 52 | 98 | 54 | 60 | 80 | 52 | 32 | 73 | |
29 yrs | LW | 40 | 58 | 89 | 83 | 92 | 72 | 79 | 61 | 92 | 63 | 76 | 53 | 36 | 83 | 52 | 32 | 72 | |
26 yrs | LW | 99 | 47 | 76 | 62 | 67 | 84 | 70 | 62 | 73 | 97 | 42 | 50 | 72 | 79 | 76 | 45 | 71 | |
24 yrs | LW | 92 | 64 | 85 | 63 | 42 | 67 | 72 | 97 | 78 | 74 | 42 | 92 | 76 | 87 | 71 | 49 | 71 | |
21 yrs | LW | 58 | 58 | 90 | 65 | 48 | 70 | 38 | 95 | 68 | 72 | 85 | 87 | 42 | 51 | 41 | 73 | 70 | |
30 yrs | LW | 94 | 56 | 62 | 91 | 53 | 72 | 42 | 97 | 84 | 59 | 79 | 49 | 43 | 62 | 86 | 29 | 69 | |
27 yrs | LW | 85 | 55 | 95 | 63 | 59 | 73 | 72 | 87 | 95 | 39 | 56 | 74 | 71 | 72 | 43 | 41 | 68 | |
19 yrs | LW | 59 | 54 | 86 | 67 | 63 | 61 | 72 | 80 | 77 | 52 | 63 | 68 | 67 | 68 | 40 | 77 | 66 | |
Center | |||||||||||||||||||
34 yrs | C | 95 | 53 | 74 | 60 | 78 | 76 | 71 | 92 | 61 | 88 | 88 | 64 | 53 | 47 | 47 | 5 | 78 | |
33 yrs | C | 51 | 53 | 95 | 93 | 49 | 73 | 94 | 70 | 91 | 81 | 99 | 42 | 59 | 41 | 53 | 7 | 76 | |
32 yrs | C | 36 | 59 | 76 | 88 | 98 | 63 | 82 | 84 | 99 | 60 | 72 | 41 | 96 | 81 | 56 | 18 | 72 | |
25 yrs | C | 62 | 44 | 74 | 72 | 99 | 98 | 42 | 80 | 70 | 85 | 63 | 38 | 87 | 68 | 84 | 46 | 72 | |
35 yrs | C | 88 | 38 | 96 | 62 | 35 | 73 | 54 | 96 | 97 | 54 | 84 | 94 | 68 | 68 | 46 | 5 | 72 | |
24 yrs | C | 53 | 51 | 82 | 69 | 95 | 95 | 53 | 61 | 70 | 66 | 65 | 84 | 92 | 35 | 80 | 51 | 72 | |
28 yrs | C | 38 | 47 | 65 | 58 | 90 | 59 | 61 | 92 | 99 | 76 | 60 | 73 | 35 | 38 | 62 | 36 | 71 | |
34 yrs | C | 56 | 46 | 61 | 83 | 91 | 65 | 44 | 85 | 94 | 46 | 83 | 86 | 92 | 37 | 40 | 2 | 71 | |
35 yrs | C | 36 | 51 | 79 | 52 | 34 | 70 | 88 | 92 | 94 | 42 | 96 | 93 | 55 | 72 | 42 | 6 | 69 | |
28 yrs | C | 60 | 58 | 78 | 55 | 80 | 77 | 80 | 99 | 99 | 45 | 40 | 72 | 62 | 54 | 90 | 33 | 69 | |
31 yrs | C | 41 | 61 | 86 | 85 | 44 | 63 | 85 | 91 | 87 | 40 | 87 | 60 | 62 | 68 | 65 | 18 | 68 | |
Right Wing | |||||||||||||||||||
32 yrs | RW | 70 | 51 | 88 | 82 | 78 | 93 | 92 | 99 | 66 | 99 | 42 | 99 | 51 | 75 | 44 | 13 | 85 | |
36 yrs | RW | 56 | 68 | 95 | 86 | 97 | 96 | 71 | 75 | 72 | 51 | 74 | 79 | 39 | 83 | 71 | 12 | 77 | |
25 yrs | RW | 99 | 36 | 60 | 77 | 61 | 67 | 88 | 66 | 89 | 71 | 73 | 74 | 59 | 82 | 81 | 52 | 74 | |
32 yrs | RW | 35 | 63 | 71 | 99 | 69 | 77 | 83 | 66 | 92 | 73 | 78 | 61 | 72 | 62 | 70 | 11 | 74 | |
32 yrs | RW | 65 | 65 | 67 | 71 | 37 | 75 | 71 | 96 | 94 | 53 | 94 | 84 | 83 | 62 | 98 | 15 | 72 | |
29 yrs | RW | 76 | 38 | 81 | 82 | 57 | 80 | 54 | 87 | 59 | 67 | 87 | 64 | 53 | 55 | 85 | 31 | 72 | |
30 yrs | RW | 35 | 51 | 82 | 98 | 81 | 79 | 95 | 86 | 85 | 40 | 56 | 66 | 60 | 36 | 45 | 26 | 72 | |
29 yrs | RW | 52 | 60 | 94 | 58 | 63 | 94 | 42 | 90 | 85 | 88 | 85 | 31 | 52 | 55 | 74 | 36 | 71 | |
25 yrs | RW | 80 | 37 | 72 | 80 | 58 | 89 | 46 | 95 | 64 | 46 | 84 | 57 | 35 | 80 | 75 | 50 | 69 | |
29 yrs | RW | 89 | 49 | 76 | 75 | 82 | 56 | 42 | 85 | 63 | 42 | 92 | 30 | 60 | 52 | 73 | 32 | 64 | |
21 yrs | RW | 30 | 39 | 72 | 51 | 59 | 52 | 59 | 83 | 51 | 37 | 86 | 56 | 41 | 58 | 52 | 75 | 58 | |
Defense | |||||||||||||||||||
31 yrs | D | 90 | 63 | 86 | 76 | 73 | 95 | 90 | 99 | 25 | 79 | 76 | 50 | 39 | 79 | 65 | 19 | 78 | |
32 yrs | D | 75 | 70 | 77 | 57 | 52 | 65 | 88 | 99 | 25 | 84 | 56 | 98 | 72 | 85 | 89 | 17 | 73 | |
34 yrs | D | 52 | 69 | 92 | 78 | 89 | 79 | 93 | 62 | 25 | 83 | 56 | 68 | 76 | 86 | 40 | 11 | 73 | |
24 yrs | D | 56 | 44 | 93 | 73 | 76 | 86 | 41 | 96 | 25 | 75 | 77 | 54 | 92 | 63 | 40 | 57 | 70 | |
26 yrs | D | 84 | 41 | 67 | 85 | 70 | 80 | 61 | 62 | 25 | 87 | 50 | 72 | 57 | 65 | 59 | 43 | 70 | |
35 yrs | D | 89 | 46 | 67 | 60 | 94 | 66 | 54 | 70 | 25 | 64 | 71 | 85 | 39 | 36 | 81 | 8 | 69 | |
34 yrs | D | 50 | 60 | 70 | 56 | 61 | 99 | 71 | 85 | 25 | 70 | 41 | 99 | 73 | 44 | 57 | 6 | 69 | |
31 yrs | D | 54 | 46 | 74 | 89 | 81 | 88 | 83 | 89 | 25 | 48 | 46 | 70 | 93 | 94 | 91 | 24 | 69 | |
34 yrs | D | 34 | 69 | 88 | 62 | 53 | 93 | 49 | 87 | 25 | 71 | 64 | 92 | 72 | 90 | 51 | 4 | 68 | |
31 yrs | D | 64 | 66 | 71 | 65 | 95 | 63 | 77 | 93 | 25 | 51 | 60 | 59 | 37 | 40 | 85 | 17 | 67 | |
21 yrs | D | 83 | 62 | 62 | 71 | 91 | 81 | 81 | 82 | 25 | 36 | 69 | 57 | 33 | 95 | 52 | 76 | 67 | |
34 yrs | D | 60 | 59 | 60 | 62 | 74 | 72 | 75 | 99 | 25 | 66 | 36 | 74 | 64 | 37 | 43 | 4 | 66 | |
32 yrs | D | 40 | 53 | 97 | 90 | 70 | 67 | 43 | 87 | 25 | 59 | 42 | 69 | 46 | 52 | 84 | 21 | 64 | |
35 yrs | D | 90 | 41 | 72 | 62 | 49 | 68 | 65 | 70 | 25 | 44 | 76 | 75 | 99 | 49 | 41 | 11 | 62 | |
20 yrs | D | 67 | 42 | 71 | 59 | 48 | 81 | 36 | 94 | 25 | 53 | 61 | 81 | 72 | 35 | 75 | 71 | 62 | |
19 yrs | D | 93 | 58 | 82 | 63 | 25 | 76 | 46 | 92 | 25 | 47 | 54 | 73 | 32 | 62 | 95 | 84 | 60 | |
31 yrs | D | 74 | 49 | 83 | 55 | 44 | 72 | 54 | 88 | 25 | 46 | 39 | 92 | 80 | 64 | 98 | 18 | 60 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
31 yrs | G | 82 | 74 | 56 | 79 | 81 | 86 | 98 | 85 | 95 | 82 | 95 | 56 | 71 | 22 | 50 | 82 | |
21 yrs | G | 79 | 86 | 72 | 79 | 90 | 86 | 84 | 77 | 91 | 69 | 85 | 66 | 51 | 70 | 50 | 81 | |
24 yrs | G | 75 | 64 | 66 | 71 | 82 | 60 | 74 | 88 | 62 | 95 | 79 | 37 | 61 | 53 | 50 | 74 | |
35 yrs | G | 52 | 97 | 54 | 67 | 73 | 96 | 91 | 54 | 80 | 73 | 89 | 89 | 42 | 3 | 50 | 74 | |
22 yrs | G | 58 | 95 | 46 | 75 | 67 | 78 | 49 | 59 | 62 | 90 | 85 | 40 | 41 | 67 | 50 | 68 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
3 | ![]() ![]() | ![]() | ![]() | ![]() ![]() | |
4 | ![]() | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() |
7 | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
3 | ![]() ![]() | ![]() | ![]() | ![]() ![]() | |
4 | ![]() | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() |
7 | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|
|