

























GP | W | L | OT | Pts |
---|---|---|---|---|
6 | 2 | 3 | 1 | 5 |
# | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | RW | 100.00 | 78 | 37 | 62 | 70 | 66 | 99 | 90 | 80 | 79 | 91 | 75 | 92 | 89 | 98 | 47 | 21 | 82 | 30 | 3,500,000$/4yrs | ||||
0 | ![]() | C | 100.00 | 47 | 49 | 82 | 95 | 99 | 66 | 60 | 75 | 99 | 99 | 82 | 69 | 46 | 95 | 48 | 39 | 81 | 27 | 1,335,000$/2yrs | ||||
0 | ![]() | LW | 100.00 | 82 | 48 | 96 | 76 | 89 | 95 | 69 | 67 | 87 | 68 | 87 | 80 | 91 | 90 | 68 | 7 | 80 | 35 | 2,500,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 92 | 68 | 92 | 85 | 65 | 96 | 74 | 80 | 99 | 66 | 97 | 63 | 74 | 97 | 68 | 30 | 80 | 30 | 2,500,000$/2yrs | ||||
0 | ![]() | LW | 100.00 | 80 | 47 | 91 | 99 | 56 | 81 | 83 | 92 | 61 | 88 | 79 | 50 | 95 | 48 | 72 | 20 | 79 | 31 | 1,179,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 87 | 46 | 65 | 86 | 67 | 66 | 83 | 83 | 61 | 84 | 82 | 90 | 35 | 51 | 82 | 19 | 79 | 31 | 1,319,000$/1yrs | ||||
0 | ![]() | C | 100.00 | 67 | 51 | 84 | 92 | 68 | 76 | 94 | 74 | 68 | 84 | 59 | 78 | 43 | 93 | 63 | 30 | 78 | 28 | 719,000$/3yrs | ||||
0 | ![]() | RW | 100.00 | 85 | 41 | 83 | 97 | 78 | 66 | 90 | 60 | 49 | 82 | 58 | 81 | 89 | 99 | 89 | 49 | 76 | 25 | 1,008,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 54 | 67 | 67 | 87 | 83 | 85 | 76 | 83 | 82 | 76 | 48 | 81 | 37 | 46 | 54 | 27 | 76 | 29 | 764,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 79 | 42 | 84 | 69 | 62 | 61 | 75 | 86 | 79 | 91 | 85 | 63 | 46 | 50 | 72 | 75 | 76 | 21 | 2,025,000$/1yrs | ||||
0 | ![]() | RW | 100.00 | 52 | 63 | 91 | 68 | 93 | 64 | 61 | 74 | 77 | 73 | 76 | 98 | 38 | 35 | 40 | 45 | 75 | 27 | 955,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 84 | 66 | 78 | 87 | 73 | 63 | 68 | 70 | 52 | 54 | 95 | 98 | 40 | 68 | 35 | 39 | 74 | 27 | 1,450,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 51 | 46 | 61 | 92 | 99 | 60 | 81 | 93 | 25 | 90 | 61 | 97 | 81 | 34 | 42 | 39 | 79 | 28 | 580,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 74 | 51 | 74 | 90 | 84 | 88 | 50 | 96 | 25 | 73 | 56 | 86 | 84 | 44 | 45 | 15 | 75 | 31 | 1,079,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 96 | 35 | 78 | 65 | 99 | 81 | 56 | 88 | 25 | 79 | 56 | 82 | 80 | 90 | 48 | 49 | 74 | 25 | 1,800,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 78 | 35 | 82 | 79 | 85 | 59 | 94 | 69 | 25 | 72 | 45 | 88 | 44 | 87 | 97 | 16 | 72 | 32 | 1,300,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 45 | 59 | 83 | 66 | 74 | 87 | 69 | 77 | 25 | 84 | 49 | 83 | 67 | 93 | 50 | 48 | 71 | 25 | 573,000$/3yrs | ||||
0 | ![]() | RW | 100.00 | 82 | 57 | 66 | 80 | 85 | 94 | 87 | 76 | 79 | 45 | 86 | 91 | 78 | 89 | 59 | 78 | 78 | 19 | 1,000,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 59 | 39 | 73 | 66 | 89 | 59 | 72 | 95 | 92 | 91 | 43 | 86 | 66 | 59 | 63 | 2 | 76 | 36 | 554,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 79 | 69 | 73 | 97 | 79 | 91 | 72 | 78 | 54 | 63 | 54 | 80 | 36 | 45 | 73 | 6 | 75 | 34 | 2,600,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 76 | 68 | 96 | 95 | 96 | 78 | 88 | 62 | 25 | 65 | 76 | 52 | 51 | 84 | 46 | 7 | 74 | 33 | 1,000,000$/4yrs | ||||
0 | ![]() | D | 100.00 | 92 | 48 | 80 | 84 | 50 | 98 | 83 | 79 | 25 | 62 | 74 | 62 | 86 | 87 | 74 | 9 | 72 | 33 | 1,044,000$/2yrs | ||||
TEAM AVERAGE | 100.00 | 74 | 51 | 79 | 83 | 79 | 78 | 76 | 79 | 59 | 76 | 69 | 80 | 63 | 72 | 61 | 30 | 76 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 100.00 | 63 | 99 | 99 | 73 | 64 | 99 | 59 | 98 | 93 | 98 | 50 | 88 | 75 | 39 | 84 | 28 | 1,985,000$/3yrs |
0 | ![]() | 100.00 | 96 | 92 | 61 | 81 | 79 | 49 | 75 | 94 | 85 | 85 | 62 | 57 | 39 | 10 | 80 | 35 | 2,500,000$/1yrs |
0 | ![]() | 100.00 | 63 | 60 | 69 | 92 | 64 | 91 | 53 | 88 | 75 | 98 | 97 | 94 | 73 | 5 | 75 | 34 | 1,755,000$/1yrs |
TEAM AVERAGE | 100.00 | 74 | 84 | 76 | 82 | 69 | 80 | 62 | 93 | 84 | 94 | 70 | 80 | 62 | 18 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Linus Sodergren | 48 | 91 | 92 | 52 | 78 | 77 | 58 | SWE | 46 | 4 | 1,000,000$ |
General Manager | Casey Schuhmacher |
---|
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 | Chris Neurauter | ![]() | C | 6 | 2 | 6 | 8 | 1 | 0 | 0 | 4 | 26 | 6 | 19 | 7.69% | 4 | 20.44 | 0 | 1 | 1 | 0 | 1 | 1 | 11 | 1 | 0 | 52.83% | 0 | 0 | 1.33 | 0 | 0 | 1.43 | |||
2 | Josef Dolnicek | ![]() | LW | 6 | 3 | 4 | 7 | 2 | 0 | 0 | 11 | 22 | 11 | 14 | 13.64% | 2 | 20.46 | 0 | 0 | 0 | 1 | 1 | 2 | 11 | 1 | 0 | 54.55% | 0 | 0 | 1.17 | 0 | 0 | 1.35 | |||
3 | Vladimir Zayev | ![]() | RW | 6 | 2 | 3 | 5 | 0 | 6 | 0 | 10 | 25 | 5 | 13 | 8.00% | 3 | 18.03 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.83 | 0 | 0 | 0.81 | |||
4 | Konstantin Pastushenko | ![]() | RW | 6 | 4 | 1 | 5 | 0 | 2 | 0 | 11 | 24 | 1 | 9 | 16.67% | 4 | 18.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.83 | 0 | 0 | 0.94 | |||
5 | Roman Mishuyev | ![]() | D | 6 | 1 | 2 | 3 | -4 | 10 | 0 | 5 | 15 | 8 | 7 | 6.67% | 9 | 21.72 | 0 | 1 | 1 | 1 | 0 | 1 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.14 | |||
6 | Lee Metcalfe | ![]() | LW | 6 | 1 | 2 | 3 | 1 | 0 | 0 | 7 | 14 | 2 | 9 | 7.14% | 2 | 20.57 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 33.33% | 0 | 0 | 0.50 | 0 | 0 | 0.62 | |||
7 | Jaiden Moar | ![]() | C | 6 | 0 | 3 | 3 | 0 | 0 | 0 | 7 | 10 | 1 | 8 | 0.00% | 2 | 20.46 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | 0 | 0 | 58.27% | 0 | 0 | 0.50 | 0 | 0 | 0.51 | |||
8 | Klas Aaltio | ![]() | LW | 6 | 1 | 2 | 3 | -7 | 2 | 0 | 6 | 10 | 3 | 9 | 10.00% | 3 | 11.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.08 | |||
9 | Wade OCuirneen | ![]() | RW | 6 | 2 | 0 | 2 | -7 | 4 | 0 | 8 | 8 | 0 | 1 | 25.00% | 1 | 11.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | -0.15 | |||
10 | Valentin Midyushko | ![]() | C | 6 | 0 | 2 | 2 | -7 | 4 | 0 | 8 | 14 | 4 | 8 | 0.00% | 2 | 11.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.00% | 0 | 0 | 0.33 | 0 | 0 | -0.05 | |||
11 | Darian Chalmers | ![]() | D | 6 | 0 | 2 | 2 | 4 | 0 | 0 | 12 | 8 | 4 | 4 | 0.00% | 8 | 22.39 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.67 | |||
12 | Misko Bureau | ![]() | D | 6 | 0 | 1 | 1 | 3 | 0 | 0 | 12 | 13 | 7 | 7 | 0.00% | 12 | 22.39 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.60 | |||
13 | Andrew Blenman | ![]() | D | 6 | 0 | 1 | 1 | -5 | 0 | 0 | 8 | 9 | 5 | 2 | 0.00% | 9 | 18.06 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.03 | |||
14 | Eyck Eismann | ![]() | D | 6 | 0 | 1 | 1 | -5 | 0 | 0 | 9 | 6 | 1 | 3 | 0.00% | 2 | 15.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.05 | |||
15 | Pyotr Zarubayev | ![]() | C | 6 | 1 | 0 | 1 | -1 | 2 | 0 | 3 | 4 | 1 | 3 | 25.00% | 3 | 7.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.17 | 0 | 0 | 0.10 | |||
16 | Jean-Maxime Johannsen | ![]() | C | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 3 | 2 | 7 | 0.00% | 1 | 7.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.11 | |||
17 | Blair Kuntz | ![]() | D | 6 | 0 | 1 | 1 | -6 | 0 | 0 | 5 | 5 | 6 | 3 | 0.00% | 4 | 20.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.12 | |||
18 | Dru Delisle | ![]() | RW | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 2 | 0 | 3 | 0.00% | 1 | 7.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
Team Total or Average | 108 | 17 | 32 | 49 | -33 | 30 | 0 | 133 | 218 | 67 | 129 | 7.80% | 72 | 16.48 | 1 | 2 | 3 | 89 | 2 | 4 | 6 | 96 | 2 | 0 | 53.71% | 404 | 60 | 48 | 0 | 0 | 0.55 | 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 |
# | 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 | J.T. Macleish | ![]() | 6 | 2 | 3 | 1 | 0.880 | 4.16 | 361 | 0 | 0 | 25 | 208 | 86 | 0 | 0 | 0.000 | 0 | 6 | 0 | 1 | 0 | 1 |
Team Total or Average | 6 | 2 | 3 | 1 | 0.880 | 4.16 | 361 | 0 | 0 | 25 | 208 | 86 | 0 | 0 | 0.000 | 0 | 6 | 0 | 1 | 0 | 1 |
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 | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 132 |
Neutral Zone Start | 108 |
Defensive Zone Start | 162 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 217 |
Faceoffs Lost | 185 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.3 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 14 |
---|---|
PP Goal | 1 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 10 |
---|---|
PP Goal | 1 |
PK Attempt | 15 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 36.3 |
Shots Against | 34.7 |
Goals For | 2.8 |
Goals Against | 4.2 |
Hits | 22.2 |
Shots Blocked | 12.0 |
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 | 25 |
Contracts | 53/55 |
LTIR Players | 0 |
Dynasty Roster | Pos | Age | Cap Hit | 2-3 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Blenman ![]() | D | 32 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Ascan Rose ![]() | G | 34 | 1,755,000$ | 1,755,000$ | |||||||
Blair Kuntz ![]() | D | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Chris Neurauter ![]() | C | 27 | 1,335,000$ | 1,335,000$ | 1,335,000$ | ||||||
Darian Chalmers ![]() | D | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Dru Delisle ![]() | RW | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Eddie Schmidtke ![]() | RW | 27 | 955,000$ | 955,000$ | |||||||
Eyck Eismann ![]() | D | 33 | 1,044,000$ | 1,044,000$ | 1,044,000$ | ||||||
J.T. Macleish ![]() | G | 28 | 1,985,000$ | 1,985,000$ | 1,985,000$ | 1,985,000$ | |||||
Jaiden Moar ![]() | C | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Jean-Maxime Johannsen ![]() | C | 36 | 554,000$ | 554,000$ | |||||||
Jonatan Klingvall ![]() | D | 25 | 573,000$ | 573,000$ | 573,000$ | 573,000$ | |||||
Josef Dolnicek ![]() | LW | 31 | 1,179,000$ | 1,179,000$ | 1,179,000$ | ||||||
Klas Aaltio ![]() | LW | 21 | 2,025,000$ | 2,025,000$ | |||||||
Konstantin Pastushenko ![]() | RW | 31 | 1,319,000$ | 1,319,000$ | |||||||
Lee Metcalfe ![]() | LW | 35 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Misko Bureau ![]() | D | 31 | 1,079,000$ | 1,079,000$ | |||||||
Pablo Lipp ![]() | LW | 34 | 2,600,000$ | 2,600,000$ | |||||||
Par Mellgren ![]() | G | 35 | 2,500,000$ | 2,500,000$ | |||||||
Pyotr Zarubayev ![]() | C | 29 | 764,000$ | 764,000$ | 764,000$ | 764,000$ | |||||
Roman Mishuyev ![]() | D | 28 | 580,000$ | 580,000$ | |||||||
Romeo Rocca ![]() | LW | 27 | 1,450,000$ | 1,450,000$ | 1,450,000$ | ||||||
Valentin Midyushko ![]() | C | 28 | 719,000$ | 719,000$ | 719,000$ | 719,000$ | |||||
Vladimir Zayev ![]() | RW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
Wade OCuirneen ![]() | RW | 25 | 1,008,000$ | 1,008,000$ | 1,008,000$ | ||||||
TOTAL | 37,024,000$ | 23,657,000$ | 10,841,000$ | 4,500,000$ | 0$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Lebed ![]() | RW | 26 | 735,000$ | 735,000$ | 735,000$ | 735,000$ | 735,000$ | ||||
Bogdan Azeyev ![]() | C | 35 | 297,000$ | 297,000$ | |||||||
Brendyn Ellis ![]() | C | 19 | 512,000$ | 512,000$ | 512,000$ | 512,000$ | 512,000$ | ||||
Bruno-Carl Young ![]() | RW | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Duncan Dorowicz ![]() | RW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Dunmore Heckman ![]() | RW | 26 | 953,000$ | 953,000$ | 953,000$ | ||||||
Eric Archibald ![]() | G | 31 | 1,530,000$ | 1,530,000$ | |||||||
Ethan Fernhout ![]() | G | 21 | 497,000$ | 497,000$ | 497,000$ | 497,000$ | 497,000$ | ||||
Gennady Plyakin ![]() | RW | 31 | 674,000$ | 674,000$ | 674,000$ | 674,000$ | |||||
Geordie Mcgee ![]() | LW | 26 | 493,000$ | 493,000$ | 493,000$ | 493,000$ | |||||
Hugo Hammel ![]() | RW | 33 | 1,050,000$ | 1,050,000$ | |||||||
Isiah Bruton ![]() | RW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Jaryd Julien ![]() | D | 30 | 624,000$ | 624,000$ | |||||||
Kazimir Savastyanov ![]() | D | 36 | 281,000$ | 281,000$ | |||||||
Leo Panas ![]() | C | 29 | 1,024,000$ | 1,024,000$ | |||||||
Mace Purpur ![]() | RW | 20 | 304,000$ | 304,000$ | 304,000$ | ||||||
Mack Macdiarmid ![]() | LW | 35 | 1,414,000$ | 1,414,000$ | 1,414,000$ | ||||||
Magnus Pimm ![]() | G | 27 | 1,540,000$ | 1,540,000$ | 1,540,000$ | 1,540,000$ | 1,540,000$ | ||||
Marcos Pendlebury ![]() | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Mark Uglov ![]() | D | 25 | 288,000$ | 288,000$ | 288,000$ | ||||||
Nigel Hagen ![]() | G | 25 | 1,365,000$ | 1,365,000$ | 1,365,000$ | ||||||
Renat Kyrylenko ![]() | D | 28 | 789,000$ | 789,000$ | 789,000$ | 789,000$ | 789,000$ | ||||
Romain Chalifoux ![]() | C | 33 | 889,000$ | 889,000$ | |||||||
Russell Midensky ![]() | LW | 35 | 469,000$ | 469,000$ | 469,000$ | ||||||
Timothee Braun ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Tomas Koch ![]() | D | 28 | 774,000$ | 774,000$ | 774,000$ | 774,000$ | 774,000$ | ||||
Tomas Lauckner ![]() | LW | 24 | 385,000$ | 385,000$ | 385,000$ | 385,000$ | 385,000$ | ||||
Yakov Shukayev ![]() | C | 22 | 314,000$ | 314,000$ | 314,000$ | 314,000$ | 314,000$ | ||||
TOTAL | 21,301,000 $ | 15,606,000$ | 10,813,000$ | 5,546,000$ | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 2 | 0 | 4 | 0 | 72 | 26 | 20 | 26 | 0 | 64 | 25 | 12 | 44 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 44 | 26 | 40 | 18 | 35 | 16 | 46.2% | 8.3% | 85.9% | 94.3 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 3 | 3 | 0 | 73 | 29 | 17 | 27 | 0 | 79 | 26 | 4 | 44 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 45 | 29 | 42 | 14 | 32 | 16 | 46.2% | 9.6% | 91.1% | 100.7 | Unlucky |
3 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 0 | 1 | 73 | 25 | 20 | 26 | 2 | 65 | 21 | 14 | 45 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 2 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 42 | 25 | 44 | 18 | 34 | 16 | 33.3% | 5.5% | 86.2% | 91.6 | Unlucky |
_Vs Division | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 17 | 25 | -8 | 5 | 0.417 | 17 | 32 | 49 | 0 | 0 | 6 | 3 | 7 | 1 | 218 | 80 | 57 | 79 | 2 | 208 | 72 | 30 | 133 | 10 | 1 | 10.00% | 15 | 3 | 80.00% | 2 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 132 | 82 | 126 | 51 | 102 | 49 | 42.1% | 7.8% | 88.0% | 95.8 | Unlucky | |
_Vs Conference | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 17 | 25 | -8 | 5 | 0.417 | 17 | 32 | 49 | 0 | 0 | 6 | 3 | 7 | 1 | 218 | 80 | 57 | 79 | 2 | 208 | 72 | 30 | 133 | 10 | 1 | 10.00% | 15 | 3 | 80.00% | 2 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 132 | 82 | 126 | 51 | 102 | 49 | 42.1% | 7.8% | 88.0% | 95.8 | Unlucky | |
_Since Last GM Reset | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 17 | 25 | -8 | 5 | 0.417 | 17 | 32 | 49 | 0 | 0 | 6 | 3 | 7 | 1 | 218 | 80 | 57 | 79 | 2 | 208 | 72 | 30 | 133 | 10 | 1 | 10.00% | 15 | 3 | 80.00% | 2 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 132 | 82 | 126 | 51 | 102 | 49 | 42.1% | 7.8% | 88.0% | 95.8 | Unlucky | |
Total | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 17 | 25 | -8 | 5 | 0.417 | 17 | 32 | 49 | 0 | 0 | 6 | 3 | 7 | 1 | 218 | 80 | 57 | 79 | 2 | 208 | 72 | 30 | 133 | 10 | 1 | 10.00% | 15 | 3 | 80.00% | 2 | 72 | 132 | 54.55% | 88 | 162 | 54.32% | 57 | 108 | 52.78% | 132 | 82 | 126 | 51 | 102 | 49 | 42.1% | 7.8% | 88.0% | 95.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 132 |
Neutral Zone Start | 108 |
Defensive Zone Start | 162 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 217 |
Faceoffs Lost | 185 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.3 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 14 |
---|---|
PP Goal | 1 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 10 |
---|---|
PP Goal | 1 |
PK Attempt | 15 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 36.3 |
Shots Against | 34.7 |
Goals For | 2.8 |
Goals Against | 4.2 |
Hits | 22.2 |
Shots Blocked | 12.0 |
Pim | 5.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Nov 22 | ![]() | @ | ![]() | MUE4,DYN2 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | DYN4,MUE5 (OT) | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | DYN1,HIG7 | RECAP | |||||||||
Sun, Nov 26 | ![]() | @ | ![]() | HIG2,DYN3 (OT) | RECAP | |||||||||
Tue, Nov 28 | ![]() | @ | ![]() | DYN4,ORC1 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Nov 29 | ![]() | @ | ![]() | ORC6,DYN3 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
37,024,000$ | 0$ | 0$ | 46,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Hollywood Coliseum | |
City | Los Angeles | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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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 | |||||
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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 |
37,024,000$ | 37,024,000$ | 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$ | 39,898,464$ | 39,898,464$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
35 yrs | LW | 82 | 48 | 96 | 76 | 89 | 95 | 69 | 67 | 87 | 68 | 87 | 80 | 91 | 90 | 68 | 7 | 80 | |
31 yrs | LW | 80 | 47 | 91 | 99 | 56 | 81 | 83 | 92 | 61 | 88 | 79 | 50 | 95 | 48 | 72 | 20 | 79 | |
21 yrs | LW | 79 | 42 | 84 | 69 | 62 | 61 | 75 | 86 | 79 | 91 | 85 | 63 | 46 | 50 | 72 | 75 | 76 | |
34 yrs | LW | 79 | 69 | 73 | 97 | 79 | 91 | 72 | 78 | 54 | 63 | 54 | 80 | 36 | 45 | 73 | 6 | 75 | |
27 yrs | LW | 84 | 66 | 78 | 87 | 73 | 63 | 68 | 70 | 52 | 54 | 95 | 98 | 40 | 68 | 35 | 39 | 74 | |
35 yrs | LW | 63 | 41 | 77 | 84 | 64 | 66 | 60 | 84 | 83 | 98 | 40 | 72 | 41 | 82 | 84 | 7 | 73 | |
26 yrs | LW | 61 | 45 | 97 | 74 | 67 | 73 | 92 | 76 | 84 | 54 | 85 | 59 | 59 | 49 | 75 | 48 | 73 | |
35 yrs | LW | 98 | 53 | 59 | 97 | 44 | 65 | 75 | 67 | 60 | 72 | 69 | 96 | 73 | 83 | 77 | 9 | 73 | |
24 yrs | LW | 84 | 39 | 60 | 55 | 57 | 70 | 47 | 60 | 89 | 75 | 87 | 91 | 71 | 80 | 46 | 54 | 70 | |
Center | |||||||||||||||||||
27 yrs | C | 47 | 49 | 82 | 95 | 99 | 66 | 60 | 75 | 99 | 99 | 82 | 69 | 46 | 95 | 48 | 39 | 81 | |
30 yrs | C | 92 | 68 | 92 | 85 | 65 | 96 | 74 | 80 | 99 | 66 | 97 | 63 | 74 | 97 | 68 | 30 | 80 | |
28 yrs | C | 67 | 51 | 84 | 92 | 68 | 76 | 94 | 74 | 68 | 84 | 59 | 78 | 43 | 93 | 63 | 30 | 78 | |
29 yrs | C | 54 | 67 | 67 | 87 | 83 | 85 | 76 | 83 | 82 | 76 | 48 | 81 | 37 | 46 | 54 | 27 | 76 | |
36 yrs | C | 59 | 39 | 73 | 66 | 89 | 59 | 72 | 95 | 92 | 91 | 43 | 86 | 66 | 59 | 63 | 2 | 76 | |
29 yrs | C | 54 | 39 | 97 | 84 | 57 | 99 | 68 | 76 | 71 | 47 | 97 | 69 | 78 | 85 | 69 | 26 | 73 | |
33 yrs | C | 74 | 57 | 69 | 57 | 69 | 64 | 52 | 84 | 73 | 78 | 70 | 96 | 88 | 93 | 40 | 11 | 72 | |
35 yrs | C | 60 | 42 | 80 | 57 | 64 | 74 | 53 | 97 | 73 | 86 | 64 | 65 | 53 | 80 | 47 | 7 | 71 | |
22 yrs | C | 60 | 41 | 81 | 57 | 57 | 54 | 58 | 80 | 65 | 81 | 96 | 40 | 35 | 77 | 46 | 66 | 67 | |
19 yrs | C | 41 | 51 | 81 | 81 | 50 | 62 | 62 | 89 | 78 | 63 | 82 | 25 | 92 | 68 | 50 | 81 | 65 | |
Right Wing | |||||||||||||||||||
30 yrs | RW | 78 | 37 | 62 | 70 | 66 | 99 | 90 | 80 | 79 | 91 | 75 | 92 | 89 | 98 | 47 | 21 | 82 | |
31 yrs | RW | 87 | 46 | 65 | 86 | 67 | 66 | 83 | 83 | 61 | 84 | 82 | 90 | 35 | 51 | 82 | 19 | 79 | |
19 yrs | RW | 82 | 57 | 66 | 80 | 85 | 94 | 87 | 76 | 79 | 45 | 86 | 91 | 78 | 89 | 59 | 78 | 78 | |
25 yrs | RW | 85 | 41 | 83 | 97 | 78 | 66 | 90 | 60 | 49 | 82 | 58 | 81 | 89 | 99 | 89 | 49 | 76 | |
26 yrs | RW | 85 | 64 | 83 | 89 | 99 | 77 | 62 | 90 | 68 | 75 | 54 | 56 | 64 | 68 | 62 | 44 | 76 | |
27 yrs | RW | 52 | 63 | 91 | 68 | 93 | 64 | 61 | 74 | 77 | 73 | 76 | 98 | 38 | 35 | 40 | 45 | 75 | |
21 yrs | RW | 30 | 49 | 65 | 61 | 51 | 81 | 89 | 88 | 49 | 81 | 90 | 88 | 54 | 86 | 33 | 73 | 74 | |
19 yrs | RW | 52 | 56 | 88 | 92 | 81 | 92 | 72 | 90 | 89 | 79 | 44 | 38 | 50 | 51 | 44 | 82 | 74 | |
26 yrs | RW | 78 | 61 | 69 | 97 | 38 | 85 | 81 | 95 | 59 | 96 | 59 | 32 | 90 | 89 | 78 | 51 | 73 | |
33 yrs | RW | 59 | 66 | 67 | 79 | 70 | 89 | 52 | 77 | 52 | 83 | 53 | 98 | 40 | 38 | 71 | 7 | 73 | |
31 yrs | RW | 94 | 63 | 82 | 92 | 53 | 88 | 71 | 69 | 94 | 79 | 40 | 32 | 82 | 62 | 77 | 27 | 70 | |
21 yrs | RW | 75 | 59 | 77 | 91 | 81 | 86 | 66 | 61 | 90 | 45 | 55 | 67 | 59 | 69 | 79 | 70 | 70 | |
20 yrs | RW | 82 | 57 | 71 | 51 | 41 | 83 | 67 | 85 | 75 | 55 | 36 | 90 | 41 | 45 | 97 | 78 | 65 | |
Defense | |||||||||||||||||||
28 yrs | D | 51 | 46 | 61 | 92 | 99 | 60 | 81 | 93 | 25 | 90 | 61 | 97 | 81 | 34 | 42 | 39 | 79 | |
31 yrs | D | 74 | 51 | 74 | 90 | 84 | 88 | 50 | 96 | 25 | 73 | 56 | 86 | 84 | 44 | 45 | 15 | 75 | |
33 yrs | D | 76 | 68 | 96 | 95 | 96 | 78 | 88 | 62 | 25 | 65 | 76 | 52 | 51 | 84 | 46 | 7 | 74 | |
25 yrs | D | 96 | 35 | 78 | 65 | 99 | 81 | 56 | 88 | 25 | 79 | 56 | 82 | 80 | 90 | 48 | 49 | 74 | |
32 yrs | D | 78 | 35 | 82 | 79 | 85 | 59 | 94 | 69 | 25 | 72 | 45 | 88 | 44 | 87 | 97 | 16 | 72 | |
33 yrs | D | 92 | 48 | 80 | 84 | 50 | 98 | 83 | 79 | 25 | 62 | 74 | 62 | 86 | 87 | 74 | 9 | 72 | |
25 yrs | D | 45 | 59 | 83 | 66 | 74 | 87 | 69 | 77 | 25 | 84 | 49 | 83 | 67 | 93 | 50 | 48 | 71 | |
28 yrs | D | 86 | 68 | 63 | 87 | 74 | 82 | 47 | 68 | 25 | 75 | 74 | 78 | 65 | 40 | 80 | 42 | 71 | |
28 yrs | D | 79 | 35 | 68 | 93 | 62 | 87 | 89 | 67 | 25 | 47 | 65 | 81 | 67 | 91 | 57 | 35 | 70 | |
26 yrs | D | 68 | 39 | 67 | 88 | 88 | 63 | 88 | 60 | 25 | 76 | 52 | 58 | 96 | 84 | 58 | 44 | 69 | |
21 yrs | D | 46 | 55 | 61 | 94 | 72 | 95 | 39 | 89 | 25 | 55 | 57 | 84 | 60 | 61 | 55 | 68 | 68 | |
30 yrs | D | 71 | 69 | 71 | 89 | 51 | 84 | 60 | 68 | 25 | 75 | 51 | 69 | 45 | 81 | 83 | 22 | 67 | |
25 yrs | D | 63 | 39 | 76 | 90 | 30 | 58 | 87 | 61 | 25 | 59 | 36 | 85 | 51 | 59 | 86 | 49 | 62 | |
36 yrs | D | 63 | 35 | 94 | 66 | 54 | 52 | 84 | 59 | 25 | 44 | 38 | 86 | 38 | 57 | 47 | 1 | 60 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
28 yrs | G | 63 | 99 | 99 | 73 | 64 | 99 | 59 | 98 | 93 | 98 | 50 | 88 | 75 | 39 | 50 | 84 | |
35 yrs | G | 96 | 92 | 61 | 81 | 79 | 49 | 75 | 94 | 85 | 85 | 62 | 57 | 39 | 10 | 50 | 80 | |
27 yrs | G | 63 | 91 | 80 | 83 | 95 | 55 | 80 | 53 | 90 | 72 | 83 | 50 | 47 | 45 | 50 | 76 | |
34 yrs | G | 63 | 60 | 69 | 92 | 64 | 91 | 53 | 88 | 75 | 98 | 97 | 94 | 73 | 5 | 50 | 75 | |
25 yrs | G | 58 | 66 | 80 | 83 | 55 | 86 | 93 | 64 | 61 | 60 | 49 | 95 | 94 | 47 | 50 | 71 | |
31 yrs | G | 66 | 62 | 82 | 77 | 50 | 54 | 77 | 87 | 88 | 52 | 67 | 74 | 41 | 21 | 50 | 70 | |
21 yrs | G | 63 | 61 | 81 | 67 | 48 | 73 | 69 | 71 | 63 | 73 | 59 | 53 | 86 | 75 | 50 | 67 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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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 |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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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 |
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