

























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 | 62 | 78 | 66 | 86 | 90 | 93 | 80 | 82 | 97 | 82 | 65 | 47 | 73 | 89 | 4 | 83 | 36 | 2,299,072$/2yrs | ||||
0 | ![]() | RW | 100.00 | 83 | 70 | 74 | 99 | 70 | 87 | 78 | 91 | 52 | 81 | 91 | 73 | 65 | 39 | 51 | 34 | 82 | 28 | 1,819,000$/4yrs | ||||
0 | ![]() | LW | 100.00 | 54 | 38 | 88 | 88 | 74 | 72 | 55 | 94 | 88 | 97 | 84 | 76 | 82 | 47 | 76 | 4 | 80 | 36 | 4,000,000$/4yrs | ||||
0 | ![]() | RW | 100.00 | 80 | 60 | 89 | 72 | 79 | 68 | 93 | 91 | 59 | 56 | 99 | 93 | 44 | 97 | 78 | 30 | 79 | 29 | 1,544,000$/1yrs | ||||
0 | ![]() | C | 100.00 | 90 | 70 | 75 | 76 | 63 | 87 | 71 | 99 | 86 | 80 | 93 | 54 | 57 | 60 | 43 | 39 | 79 | 28 | 3,694,846$/5yrs | ||||
0 | ![]() | LW | 100.00 | 69 | 33 | 61 | 80 | 83 | 89 | 80 | 65 | 74 | 75 | 90 | 78 | 87 | 99 | 57 | 49 | 78 | 24 | 1,582,000$/1yrs | ||||
0 | ![]() | C | 100.00 | 89 | 51 | 67 | 96 | 87 | 55 | 40 | 93 | 74 | 87 | 82 | 83 | 64 | 38 | 93 | 16 | 78 | 31 | 1,629,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 88 | 36 | 87 | 78 | 76 | 89 | 55 | 94 | 62 | 82 | 56 | 76 | 52 | 35 | 42 | 72 | 77 | 21 | 800,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 76 | 68 | 69 | 95 | 76 | 83 | 41 | 66 | 63 | 94 | 69 | 90 | 72 | 83 | 50 | 37 | 76 | 27 | 1,240,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 71 | 52 | 75 | 80 | 75 | 70 | 73 | 73 | 64 | 92 | 57 | 92 | 86 | 96 | 44 | 1 | 76 | 36 | 889,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 89 | 33 | 71 | 78 | 84 | 64 | 65 | 93 | 84 | 83 | 76 | 41 | 90 | 42 | 49 | 62 | 75 | 23 | 1,100,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 46 | 51 | 67 | 92 | 65 | 98 | 85 | 67 | 97 | 47 | 83 | 76 | 98 | 98 | 70 | 51 | 74 | 25 | 1,047,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 55 | 61 | 91 | 97 | 91 | 64 | 89 | 79 | 25 | 75 | 81 | 63 | 72 | 70 | 60 | 5 | 76 | 33 | 799,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 81 | 37 | 89 | 88 | 56 | 69 | 76 | 92 | 25 | 71 | 74 | 86 | 69 | 66 | 64 | 42 | 74 | 27 | 985,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 65 | 49 | 71 | 86 | 91 | 94 | 78 | 60 | 25 | 41 | 75 | 94 | 68 | 93 | 43 | 29 | 72 | 29 | 1,009,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 97 | 51 | 63 | 95 | 77 | 58 | 64 | 84 | 25 | 58 | 59 | 93 | 52 | 56 | 64 | 49 | 71 | 25 | 1,829,000$/5yrs | ||||
0 | ![]() | D | 100.00 | 37 | 94 | 80 | 79 | 80 | 74 | 74 | 93 | 25 | 80 | 34 | 88 | 79 | 39 | 85 | 74 | 71 | 21 | 1,000,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 73 | 52 | 77 | 85 | 88 | 63 | 53 | 83 | 25 | 84 | 34 | 84 | 31 | 89 | 48 | 80 | 70 | 20 | 900,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 62 | 34 | 71 | 90 | 58 | 82 | 51 | 93 | 25 | 50 | 44 | 96 | 91 | 74 | 98 | 54 | 67 | 25 | 988,000$/3yrs | ||||
TEAM AVERAGE | 100.00 | 73 | 53 | 76 | 85 | 77 | 77 | 69 | 84 | 56 | 75 | 72 | 79 | 69 | 68 | 63 | 39 | 76 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 100.00 | 44 | 78 | 79 | 90 | 66 | 60 | 92 | 88 | 84 | 51 | 79 | 48 | 69 | 72 | 73 | 20 | 800,000$/3yrs |
0 | ![]() | 100.00 | 49 | 52 | 51 | 81 | 84 | 56 | 86 | 93 | 84 | 65 | 77 | 46 | 81 | 59 | 70 | 24 | 3,050,000$/5yrs |
0 | ![]() | 100.00 | 72 | 66 | 66 | 83 | 99 | 81 | 94 | 83 | 95 | 54 | 77 | 86 | 51 | 26 | 79 | 30 | 1,530,000$/4yrs |
TEAM AVERAGE | 100.00 | 55 | 65 | 65 | 85 | 83 | 66 | 91 | 88 | 88 | 57 | 78 | 60 | 67 | 52 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | John Mayor | 47 | 91 | 65 | 93 | 82 | 38 | 96 | CAN | 36 | 1 | 300,000$ |
General Manager | Jason Karutz |
---|
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 | Mikko-Matti Forsblad | ![]() | C | 6 | 5 | 2 | 7 | 3 | 2 | 0 | 13 | 22 | 4 | 12 | 22.73% | 3 | 12.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.03% | 0 | 0 | 1.17 | 0 | 0 | 1.33 | |||
2 | Justice Wang | ![]() | C | 6 | 0 | 6 | 6 | 1 | 2 | 0 | 12 | 8 | 4 | 12 | 0.00% | 2 | 13.56 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 41.38% | 0 | 0 | 1.00 | 0 | 0 | 0.85 | |||
3 | Leonard Bjorklund | ![]() | LW | 6 | 1 | 4 | 5 | 4 | 0 | 0 | 8 | 11 | 5 | 6 | 9.09% | 0 | 11.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.83 | 0 | 0 | 0.99 | |||
4 | Seikku Elenius | ![]() | RW | 6 | 3 | 2 | 5 | 2 | 0 | 0 | 6 | 19 | 6 | 14 | 15.79% | 1 | 17.46 | 2 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 62.50% | 0 | 0 | 0.83 | 0 | 1 | 1.03 | |||
5 | Wilhelm Norden | ![]() | D | 6 | 1 | 3 | 4 | 3 | 0 | 0 | 4 | 10 | 2 | 7 | 10.00% | 4 | 20.45 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.81 | |||
6 | Ustin Trynkov | ![]() | LW | 6 | 2 | 1 | 3 | 2 | 0 | 0 | 9 | 14 | 2 | 6 | 14.29% | 4 | 17.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.50 | 0 | 0 | 0.74 | |||
7 | Sixten Angstrom | ![]() | D | 6 | 0 | 3 | 3 | -1 | 0 | 0 | 14 | 10 | 7 | 5 | 0.00% | 4 | 19.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | |||
8 | Keegan Ramkema | ![]() | RW | 6 | 1 | 2 | 3 | -7 | 5 | 5 | 9 | 24 | 12 | 13 | 4.17% | 3 | 18.49 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 30.00% | 0 | 0 | 0.50 | 0 | 0 | 0.23 | |||
9 | Srebrenko Cvitanovic | ![]() | C | 6 | 1 | 2 | 3 | -7 | 0 | 0 | 11 | 17 | 2 | 7 | 5.88% | 1 | 18.57 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 48.46% | 0 | 0 | 0.50 | 0 | 1 | 0.20 | |||
10 | Reeti Tiitinen | ![]() | D | 6 | 1 | 1 | 2 | -3 | 0 | 0 | 7 | 16 | 4 | 4 | 6.25% | 10 | 21.70 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.37 | |||
11 | Eetu-Pekka Pylsy | ![]() | C | 6 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 14 | 4 | 8 | 7.14% | 3 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.97% | 0 | 0 | 0.33 | 0 | 0 | 0.50 | |||
12 | Aston Critchley | ![]() | LW | 6 | 1 | 1 | 2 | -7 | 2 | 0 | 1 | 19 | 5 | 16 | 5.26% | 1 | 18.38 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 55.56% | 0 | 0 | 0.33 | 0 | 0 | 0.10 | |||
13 | Reko Hongell | ![]() | D | 6 | 0 | 2 | 2 | -2 | 5 | 5 | 1 | 8 | 0 | 5 | 0.00% | 4 | 20.21 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.10 | |||
14 | Karter Larocque | ![]() | RW | 6 | 1 | 1 | 2 | 2 | 2 | 0 | 4 | 14 | 4 | 11 | 7.14% | 2 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 53.33% | 0 | 0 | 0.33 | 0 | 0 | 0.53 | |||
15 | Jamal Gratton | ![]() | LW | 3 | 0 | 1 | 1 | 2 | 0 | 0 | 3 | 6 | 3 | 2 | 0.00% | 1 | 11.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.65 | |||
16 | Ora-Antti Selanne | ![]() | LW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 0 | 12.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.50 | 0 | 0 | 0.42 | |||
17 | Samuel Hammer | ![]() | D | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 6 | 2 | 2 | 0 | 0.00% | 6 | 20.18 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.17 | |||
18 | Carey Griffiths | ![]() | D | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 2 | 0 | 0.00% | 5 | 19.74 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.39 | |||
Team Total or Average | 95 | 18 | 33 | 51 | -5 | 20 | 10 | 117 | 219 | 69 | 129 | 8.22% | 54 | 16.89 | 2 | 3 | 5 | 69 | 0 | 0 | 0 | 35 | 2 | 0 | 47.75% | 377 | 43 | 40 | 0 | 0 | 0.64 | 0 | 2 |
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 | Mangjeol Su-Cheol | ![]() | 6 | 2 | 3 | 1 | 0.915 | 3.14 | 363 | 0 | 0 | 19 | 223 | 101 | 0 | 2 | 0.000 | 2 | 6 | 0 | 0 | 0 | 1 |
Team Total or Average | 6 | 2 | 3 | 1 | 0.915 | 3.14 | 363 | 0 | 0 | 19 | 223 | 101 | 0 | 2 | 0.000 | 2 | 6 | 0 | 0 | 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 | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 135 |
Neutral Zone Start | 98 |
Defensive Zone Start | 144 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 181 |
Faceoffs Lost | 196 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 26.5 | 20.31 |
3rd Period | 37.8 | 30.68 |
Overtime | 38.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 2 |
Overtime Lost | 1 | 0 |
PP Attempt | 9 |
---|---|
PP Goal | 2 |
PK Attempt | 6 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 38.0 |
Shots Against | 37.5 |
Goals For | 3.2 |
Goals Against | 3.7 |
Hits | 20.5 |
Shots Blocked | 11.3 |
Pim | 3.7 |
![]() | |
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 | 22 |
Contracts | 53/55 |
LTIR Players | 0 |
Orcas Roster | Pos | Age | Cap Hit | 2-3 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ari-Jukka Kariniemi ![]() | D | 25 | 988,000$ | 988,000$ | 988,000$ | 988,000$ | |||||
Aston Critchley ![]() | LW | 36 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Carey Griffiths ![]() | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Eetu-Pekka Pylsy ![]() | C | 36 | 889,000$ | 889,000$ | |||||||
Jamal Gratton ![]() | LW | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Jessey Tarasuk ![]() | G | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Justice Wang ![]() | C | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Karter Larocque ![]() | RW | 36 | 2,299,072$ | 2,299,072$ | 2,299,072$ | ||||||
Keegan Ramkema ![]() | RW | 28 | 1,819,000$ | 1,819,000$ | 1,819,000$ | 1,819,000$ | 1,819,000$ | ||||
Leonard Bjorklund ![]() | LW | 27 | 1,240,000$ | 1,240,000$ | 1,240,000$ | ||||||
Mangjeol Su-Cheol ![]() | G | 30 | 1,530,000$ | 1,530,000$ | 1,530,000$ | 1,530,000$ | 1,530,000$ | ||||
Mikko-Matti Forsblad ![]() | C | 31 | 1,629,000$ | 1,629,000$ | 1,629,000$ | ||||||
Ora-Antti Selanne ![]() | LW | 25 | 1,047,000$ | 1,047,000$ | 1,047,000$ | ||||||
Reeti Tiitinen ![]() | D | 27 | 985,000$ | 985,000$ | 985,000$ | 985,000$ | |||||
Reko Hongell ![]() | D | 33 | 799,000$ | 799,000$ | |||||||
Samuel Hammer ![]() | D | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Seikku Elenius ![]() | RW | 29 | 1,544,000$ | 1,544,000$ | |||||||
Sixten Angstrom ![]() | D | 25 | 1,829,000$ | 1,829,000$ | 1,829,000$ | 1,829,000$ | 1,829,000$ | 1,829,000$ | |||
Srebrenko Cvitanovic ![]() | C | 28 | 3,694,846$ | 3,694,846$ | 3,694,846$ | 3,694,846$ | 3,694,846$ | 3,694,846$ | |||
Ustin Trynkov ![]() | LW | 24 | 1,582,000$ | 1,582,000$ | |||||||
Wilhelm Norden ![]() | D | 29 | 1,009,000$ | 1,009,000$ | 1,009,000$ | ||||||
Yefim Rogozhkin ![]() | G | 24 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | |||
TOTAL | 34,533,918$ | 29,719,918$ | 22,495,846$ | 15,922,846$ | 8,573,846$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Baron Knowles ![]() | D | 22 | 1,130,000$ | 1,130,000$ | 1,130,000$ | 1,130,000$ | 1,130,000$ | 1,130,000$ | |||
Beaumont Docharty ![]() | RW | 30 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||||
Benedikt Hedqvist ![]() | LW | 25 | 628,000$ | 628,000$ | 628,000$ | 628,000$ | 628,000$ | ||||
Brayden Jalbert ![]() | D | 32 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Denis Konstantinov ![]() | LW | 32 | 322,000$ | 322,000$ | |||||||
Dominique Stumpf ![]() | G | 29 | 1,595,000$ | 1,595,000$ | 1,595,000$ | 1,595,000$ | |||||
Earvin Blankley ![]() | C | 26 | 620,000$ | 620,000$ | 620,000$ | ||||||
Eduard Yerokhin ![]() | RW | 36 | 1,099,000$ | 1,099,000$ | 1,099,000$ | ||||||
Ferdinand Godbey ![]() | G | 33 | 1,497,500$ | 1,497,500$ | 1,497,500$ | ||||||
Greyson Konotopetz ![]() | RW | 26 | 430,000$ | 430,000$ | 430,000$ | 430,000$ | 430,000$ | ||||
Harris Lunty ![]() | D | 22 | 954,904$ | 954,904$ | 954,904$ | 954,904$ | 954,904$ | ||||
Hayden Ollerton ![]() | D | 19 | 319,000$ | 319,000$ | 319,000$ | 319,000$ | 319,000$ | ||||
Heath Staton ![]() | D | 30 | 250,000$ | 250,000$ | 250,000$ | ||||||
Henri Verreault ![]() | D | 35 | 654,000$ | 654,000$ | |||||||
Herman Chaisson ![]() | LW | 25 | 663,000$ | 663,000$ | 663,000$ | ||||||
Jack Sjo ![]() | C | 34 | 800,000$ | 800,000$ | |||||||
Lasse Muikku ![]() | D | 20 | 940,000$ | 940,000$ | 940,000$ | ||||||
Mikhail Bekasov ![]() | C | 21 | 200,000$ | 200,000$ | 200,000$ | ||||||
Reynold Borden ![]() | RW | 28 | 574,000$ | 574,000$ | 574,000$ | 574,000$ | |||||
Ross Gaulton ![]() | C | 24 | 298,000$ | 298,000$ | 298,000$ | ||||||
Ruslan Makalkin ![]() | D | 36 | 1,200,000$ | 1,200,000$ | |||||||
Ruslan Yerakov ![]() | C | 29 | 769,000$ | 769,000$ | 769,000$ | 769,000$ | 769,000$ | ||||
Seppo-Sakari Toivio ![]() | LW | 32 | 769,000$ | 769,000$ | |||||||
Shayne Vallorani ![]() | RW | 25 | 1,052,000$ | 1,052,000$ | |||||||
Tommy Lindberg ![]() | C | 33 | 1,079,000$ | 1,079,000$ | |||||||
Tyson Bekasiak ![]() | D | 36 | 820,000$ | 820,000$ | 820,000$ | ||||||
Vilem Zavorka ![]() | D | 27 | 495,000$ | 495,000$ | 495,000$ | 495,000$ | |||||
Vincenzo Casarin ![]() | D | 32 | 499,000$ | 499,000$ | 499,000$ | ||||||
Vincenzo Masullo ![]() | RW | 34 | 590,000$ | 590,000$ | |||||||
Vladislav Stasenko ![]() | G | 19 | 1,705,000$ | 1,705,000$ | 1,705,000$ | 1,705,000$ | 1,705,000$ | ||||
Yefim Repetsky ![]() | D | 22 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||
TOTAL | 26,652,404 $ | 20,186,404$ | 11,699,904$ | 7,335,904$ | 2,530,000$ | 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 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 9 | 15 | 1 | 0 | 2 | 1 | 3 | 0 | 71 | 23 | 21 | 26 | 3 | 82 | 18 | 9 | 47 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 44 | 27 | 45 | 17 | 35 | 17 | 42.9% | 8.5% | 89.0% | 97.5 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 79 | 21 | 30 | 28 | 0 | 73 | 23 | 4 | 35 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 42 | 28 | 45 | 15 | 32 | 15 | 53.8% | 8.9% | 90.4% | 99.3 | Unlucky |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 2 | 4 | 0 | 0 | 78 | 30 | 34 | 14 | 0 | 70 | 27 | 9 | 41 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 49 | 32 | 39 | 15 | 30 | 15 | 40.0% | 7.7% | 91.4% | 99.1 | DULL |
_Vs Division | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 19 | 22 | -3 | 5 | 0.417 | 19 | 33 | 52 | 2 | 0 | 5 | 9 | 5 | 0 | 228 | 74 | 85 | 68 | 3 | 225 | 68 | 22 | 123 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 136 | 88 | 130 | 48 | 98 | 48 | 45.9% | 8.3% | 90.2% | 98.6 | Unlucky | |
_Vs Conference | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 19 | 22 | -3 | 5 | 0.417 | 19 | 33 | 52 | 2 | 0 | 5 | 9 | 5 | 0 | 228 | 74 | 85 | 68 | 3 | 225 | 68 | 22 | 123 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 136 | 88 | 130 | 48 | 98 | 48 | 45.9% | 8.3% | 90.2% | 98.6 | Unlucky | |
_Since Last GM Reset | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 19 | 22 | -3 | 5 | 0.417 | 19 | 33 | 52 | 2 | 0 | 5 | 9 | 5 | 0 | 228 | 74 | 85 | 68 | 3 | 225 | 68 | 22 | 123 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 136 | 88 | 130 | 48 | 98 | 48 | 45.9% | 8.3% | 90.2% | 98.6 | Unlucky | |
Total | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 19 | 22 | -3 | 5 | 0.417 | 19 | 33 | 52 | 2 | 0 | 5 | 9 | 5 | 0 | 228 | 74 | 85 | 68 | 3 | 225 | 68 | 22 | 123 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 71 | 135 | 52.59% | 63 | 144 | 43.75% | 47 | 98 | 47.96% | 136 | 88 | 130 | 48 | 98 | 48 | 45.9% | 8.3% | 90.2% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 135 |
Neutral Zone Start | 98 |
Defensive Zone Start | 144 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 181 |
Faceoffs Lost | 196 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 26.5 | 20.31 |
3rd Period | 37.8 | 30.68 |
Overtime | 38.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 2 |
Overtime Lost | 1 | 0 |
PP Attempt | 9 |
---|---|
PP Goal | 2 |
PK Attempt | 6 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 38.0 |
Shots Against | 37.5 |
Goals For | 3.2 |
Goals Against | 3.7 |
Hits | 20.5 |
Shots Blocked | 11.3 |
Pim | 3.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Nov 22 | ![]() | @ | ![]() | ORC2,HIG4 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | HIG2,ORC4 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | ORC2,MUE4 | RECAP | |||||||||
Sun, Nov 26 | ![]() | @ | ![]() | MUE5,ORC4 (SO) | 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 |
34,533,918$ | 0$ | 0$ | 46,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Hooroo Arena | |
City | San Francisco | ||
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 |
34,533,918$ | 34,533,918$ | 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$ | 40,061,951$ | 40,061,951$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
36 yrs | LW | 54 | 38 | 88 | 88 | 74 | 72 | 55 | 94 | 88 | 97 | 84 | 76 | 82 | 47 | 76 | 4 | 80 | |
24 yrs | LW | 69 | 33 | 61 | 80 | 83 | 89 | 80 | 65 | 74 | 75 | 90 | 78 | 87 | 99 | 57 | 49 | 78 | |
27 yrs | LW | 76 | 68 | 69 | 95 | 76 | 83 | 41 | 66 | 63 | 94 | 69 | 90 | 72 | 83 | 50 | 37 | 76 | |
23 yrs | LW | 89 | 33 | 71 | 78 | 84 | 64 | 65 | 93 | 84 | 83 | 76 | 41 | 90 | 42 | 49 | 62 | 75 | |
25 yrs | LW | 46 | 51 | 67 | 92 | 65 | 98 | 85 | 67 | 97 | 47 | 83 | 76 | 98 | 98 | 70 | 51 | 74 | |
25 yrs | LW | 35 | 61 | 36 | 87 | 85 | 82 | 82 | 67 | 91 | 82 | 40 | 94 | 43 | 95 | 89 | 51 | 74 | |
32 yrs | LW | 35 | 38 | 77 | 57 | 84 | 99 | 95 | 70 | 51 | 52 | 66 | 86 | 87 | 96 | 73 | 17 | 72 | |
25 yrs | LW | 63 | 53 | 81 | 81 | 69 | 81 | 40 | 80 | 85 | 91 | 54 | 53 | 78 | 57 | 89 | 47 | 71 | |
32 yrs | LW | 43 | 91 | 61 | 64 | 30 | 90 | 54 | 98 | 68 | 50 | 64 | 65 | 37 | 95 | 92 | 19 | 63 | |
Center | |||||||||||||||||||
28 yrs | C | 90 | 70 | 75 | 76 | 63 | 87 | 71 | 99 | 86 | 80 | 93 | 54 | 57 | 60 | 43 | 39 | 79 | |
31 yrs | C | 89 | 51 | 67 | 96 | 87 | 55 | 40 | 93 | 74 | 87 | 82 | 83 | 64 | 38 | 93 | 16 | 78 | |
21 yrs | C | 88 | 36 | 87 | 78 | 76 | 89 | 55 | 94 | 62 | 82 | 56 | 76 | 52 | 35 | 42 | 72 | 77 | |
36 yrs | C | 71 | 52 | 75 | 80 | 75 | 70 | 73 | 73 | 64 | 92 | 57 | 92 | 86 | 96 | 44 | 1 | 76 | |
33 yrs | C | 91 | 35 | 76 | 61 | 99 | 67 | 48 | 79 | 64 | 56 | 84 | 90 | 71 | 90 | 50 | 12 | 73 | |
34 yrs | C | 60 | 39 | 86 | 73 | 58 | 80 | 56 | 97 | 90 | 89 | 62 | 38 | 39 | 75 | 71 | 3 | 72 | |
29 yrs | C | 49 | 43 | 86 | 81 | 67 | 84 | 76 | 73 | 81 | 80 | 71 | 42 | 45 | 61 | 38 | 28 | 72 | |
24 yrs | C | 71 | 64 | 67 | 69 | 63 | 85 | 48 | 64 | 97 | 83 | 50 | 61 | 86 | 65 | 36 | 54 | 68 | |
26 yrs | C | 35 | 39 | 92 | 63 | 46 | 76 | 77 | 98 | 77 | 57 | 40 | 52 | 46 | 82 | 63 | 52 | 64 | |
21 yrs | C | 47 | 32 | 61 | 55 | 47 | 56 | 38 | 87 | 58 | 88 | 44 | 86 | 90 | 43 | 39 | 67 | 63 | |
Right Wing | |||||||||||||||||||
36 yrs | RW | 78 | 62 | 78 | 66 | 86 | 90 | 93 | 80 | 82 | 97 | 82 | 65 | 47 | 73 | 89 | 4 | 83 | |
28 yrs | RW | 83 | 70 | 74 | 99 | 70 | 87 | 78 | 91 | 52 | 81 | 91 | 73 | 65 | 39 | 51 | 34 | 82 | |
29 yrs | RW | 80 | 60 | 89 | 72 | 79 | 68 | 93 | 91 | 59 | 56 | 99 | 93 | 44 | 97 | 78 | 30 | 79 | |
25 yrs | RW | 57 | 45 | 95 | 88 | 61 | 89 | 62 | 72 | 65 | 81 | 40 | 99 | 52 | 87 | 74 | 54 | 74 | |
36 yrs | RW | 42 | 38 | 93 | 86 | 71 | 97 | 91 | 80 | 71 | 78 | 63 | 36 | 68 | 67 | 80 | 4 | 74 | |
30 yrs | RW | 71 | 43 | 79 | 71 | 97 | 96 | 72 | 75 | 83 | 56 | 68 | 58 | 53 | 39 | 42 | 30 | 74 | |
28 yrs | RW | 47 | 41 | 68 | 64 | 59 | 94 | 96 | 82 | 64 | 40 | 93 | 84 | 85 | 52 | 98 | 30 | 72 | |
26 yrs | RW | 79 | 39 | 72 | 73 | 69 | 59 | 77 | 60 | 90 | 99 | 61 | 44 | 72 | 92 | 61 | 45 | 71 | |
34 yrs | RW | 80 | 57 | 80 | 57 | 91 | 59 | 75 | 97 | 71 | 51 | 77 | 29 | 78 | 46 | 98 | 2 | 68 | |
Defense | |||||||||||||||||||
33 yrs | D | 55 | 61 | 91 | 97 | 91 | 64 | 89 | 79 | 25 | 75 | 81 | 63 | 72 | 70 | 60 | 5 | 76 | |
27 yrs | D | 81 | 37 | 89 | 88 | 56 | 69 | 76 | 92 | 25 | 71 | 74 | 86 | 69 | 66 | 64 | 42 | 74 | |
35 yrs | D | 35 | 70 | 81 | 98 | 91 | 61 | 87 | 66 | 25 | 67 | 72 | 70 | 57 | 76 | 95 | 6 | 72 | |
29 yrs | D | 65 | 49 | 71 | 86 | 91 | 94 | 78 | 60 | 25 | 41 | 75 | 94 | 68 | 93 | 43 | 29 | 72 | |
25 yrs | D | 97 | 51 | 63 | 95 | 77 | 58 | 64 | 84 | 25 | 58 | 59 | 93 | 52 | 56 | 64 | 49 | 71 | |
21 yrs | D | 37 | 94 | 80 | 79 | 80 | 74 | 74 | 93 | 25 | 80 | 34 | 88 | 79 | 39 | 85 | 74 | 71 | |
36 yrs | D | 66 | 46 | 89 | 98 | 59 | 74 | 53 | 85 | 25 | 83 | 61 | 55 | 74 | 37 | 37 | 2 | 70 | |
27 yrs | D | 60 | 63 | 71 | 61 | 94 | 74 | 93 | 74 | 25 | 62 | 53 | 75 | 46 | 39 | 86 | 43 | 70 | |
20 yrs | D | 73 | 52 | 77 | 85 | 88 | 63 | 53 | 83 | 25 | 84 | 34 | 84 | 31 | 89 | 48 | 80 | 70 | |
32 yrs | D | 89 | 66 | 82 | 65 | 32 | 69 | 52 | 98 | 25 | 83 | 71 | 83 | 99 | 53 | 61 | 15 | 69 | |
20 yrs | D | 43 | 46 | 77 | 81 | 71 | 53 | 85 | 64 | 25 | 78 | 62 | 87 | 69 | 99 | 83 | 79 | 69 | |
22 yrs | D | 67 | 47 | 82 | 86 | 95 | 80 | 41 | 86 | 25 | 60 | 60 | 48 | 35 | 43 | 78 | 61 | 67 | |
25 yrs | D | 62 | 34 | 71 | 90 | 58 | 82 | 51 | 93 | 25 | 50 | 44 | 96 | 91 | 74 | 98 | 54 | 67 | |
36 yrs | D | 52 | 36 | 67 | 83 | 52 | 92 | 82 | 82 | 25 | 48 | 50 | 85 | 65 | 72 | 91 | 8 | 67 | |
22 yrs | D | 66 | 39 | 62 | 60 | 76 | 71 | 73 | 89 | 25 | 40 | 70 | 81 | 87 | 97 | 61 | 69 | 66 | |
32 yrs | D | 38 | 40 | 77 | 63 | 25 | 60 | 79 | 80 | 25 | 85 | 68 | 69 | 58 | 34 | 93 | 21 | 64 | |
22 yrs | D | 81 | 56 | 72 | 88 | 90 | 69 | 40 | 73 | 25 | 39 | 52 | 74 | 30 | 77 | 84 | 65 | 63 | |
30 yrs | D | 44 | 57 | 72 | 69 | 74 | 56 | 45 | 63 | 25 | 63 | 40 | 83 | 76 | 90 | 53 | 25 | 60 | |
19 yrs | D | 30 | 28 | 67 | 87 | 53 | 56 | 33 | 80 | 25 | 53 | 29 | 82 | 82 | 95 | 77 | 77 | 56 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
30 yrs | G | 72 | 66 | 66 | 83 | 99 | 81 | 94 | 83 | 95 | 54 | 77 | 86 | 51 | 26 | 50 | 79 | |
33 yrs | G | 73 | 86 | 57 | 80 | 75 | 81 | 63 | 80 | 57 | 82 | 62 | 64 | 57 | 9 | 50 | 73 | |
20 yrs | G | 44 | 78 | 79 | 90 | 66 | 60 | 92 | 88 | 84 | 51 | 79 | 48 | 69 | 72 | 50 | 73 | |
29 yrs | G | 73 | 58 | 69 | 82 | 61 | 57 | 68 | 74 | 74 | 99 | 51 | 65 | 65 | 34 | 50 | 72 | |
19 yrs | G | 73 | 62 | 91 | 70 | 69 | 56 | 82 | 87 | 77 | 46 | 61 | 34 | 62 | 84 | 50 | 71 | |
24 yrs | G | 49 | 52 | 51 | 81 | 84 | 56 | 86 | 93 | 84 | 65 | 77 | 46 | 81 | 59 | 50 | 70 |
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 |
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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 |
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