

























GP | W | L | OT | Pts |
---|---|---|---|---|
6 | 2 | 4 | 0 | 4 |
# | 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 | 99 | 45 | 97 | 95 | 72 | 78 | 76 | 97 | 62 | 88 | 76 | 74 | 94 | 34 | 87 | 42 | 83 | 27 | 1,823,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 79 | 58 | 82 | 97 | 64 | 97 | 76 | 57 | 80 | 96 | 84 | 93 | 70 | 89 | 42 | 69 | 83 | 21 | 1,000,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 42 | 43 | 95 | 99 | 68 | 67 | 43 | 99 | 97 | 86 | 66 | 92 | 60 | 71 | 86 | 47 | 78 | 25 | 2,844,444$/5yrs | ||||
0 | ![]() | RW | 100.00 | 38 | 53 | 90 | 77 | 79 | 66 | 69 | 95 | 59 | 80 | 83 | 85 | 82 | 81 | 46 | 66 | 77 | 21 | 1,535,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 65 | 39 | 71 | 97 | 96 | 94 | 44 | 86 | 51 | 83 | 43 | 96 | 86 | 92 | 48 | 27 | 77 | 29 | 3,225,944$/5yrs | ||||
0 | ![]() | RW | 100.00 | 65 | 45 | 74 | 84 | 95 | 68 | 75 | 84 | 57 | 85 | 76 | 67 | 54 | 52 | 63 | 79 | 77 | 19 | 900,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 72 | 28 | 72 | 79 | 89 | 54 | 87 | 77 | 88 | 77 | 61 | 78 | 79 | 44 | 67 | 86 | 76 | 18 | 900,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 58 | 69 | 62 | 73 | 68 | 73 | 94 | 89 | 58 | 73 | 60 | 98 | 67 | 96 | 68 | 43 | 75 | 27 | 560,000$/4yrs | ||||
0 | ![]() | C | 100.00 | 96 | 45 | 97 | 85 | 56 | 76 | 86 | 92 | 88 | 48 | 61 | 76 | 91 | 74 | 85 | 41 | 74 | 28 | 855,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 37 | 57 | 93 | 81 | 77 | 93 | 92 | 83 | 91 | 42 | 80 | 58 | 84 | 43 | 46 | 20 | 74 | 32 | 909,000$/1yrs | ||||
0 | ![]() | RW | 100.00 | 58 | 39 | 69 | 90 | 86 | 76 | 83 | 77 | 59 | 69 | 41 | 87 | 45 | 60 | 86 | 73 | 74 | 21 | 1,330,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 43 | 52 | 93 | 87 | 49 | 92 | 72 | 75 | 71 | 86 | 39 | 81 | 95 | 83 | 51 | 60 | 73 | 24 | 1,644,444$/5yrs | ||||
0 | ![]() | D | 100.00 | 51 | 55 | 75 | 93 | 75 | 94 | 86 | 69 | 25 | 52 | 61 | 95 | 71 | 54 | 64 | 35 | 73 | 27 | 1,014,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 56 | 60 | 80 | 82 | 87 | 61 | 70 | 97 | 25 | 73 | 54 | 84 | 73 | 46 | 90 | 36 | 72 | 28 | 444,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 81 | 39 | 86 | 82 | 85 | 68 | 58 | 75 | 25 | 83 | 47 | 78 | 74 | 84 | 79 | 74 | 71 | 21 | 800,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 43 | 37 | 82 | 81 | 61 | 77 | 69 | 67 | 25 | 72 | 59 | 99 | 35 | 65 | 53 | 56 | 70 | 23 | 782,000$/4yrs | ||||
0 | ![]() | D | 100.00 | 39 | 52 | 83 | 90 | 82 | 86 | 80 | 62 | 25 | 54 | 50 | 99 | 65 | 41 | 76 | 39 | 70 | 28 | 1,884,444$/5yrs | ||||
0 | ![]() | D | 100.00 | 41 | 55 | 87 | 89 | 64 | 70 | 91 | 90 | 25 | 47 | 56 | 94 | 72 | 95 | 60 | 57 | 70 | 23 | 717,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 32 | 63 | 93 | 96 | 78 | 67 | 73 | 77 | 25 | 51 | 77 | 85 | 51 | 53 | 52 | 57 | 70 | 23 | 1,944,444$/5yrs | ||||
TEAM AVERAGE | 100.00 | 58 | 49 | 83 | 87 | 75 | 77 | 75 | 81 | 55 | 71 | 62 | 85 | 71 | 66 | 66 | 53 | 75 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 100.00 | 82 | 81 | 63 | 70 | 82 | 70 | 97 | 89 | 87 | 54 | 81 | 47 | 69 | 28 | 78 | 29 | 1,530,000$/2yrs |
0 | ![]() | 100.00 | 74 | 68 | 66 | 69 | 77 | 69 | 77 | 95 | 92 | 76 | 59 | 58 | 89 | 35 | 76 | 27 | 1,632,500$/3yrs |
TEAM AVERAGE | 100.00 | 78 | 75 | 65 | 70 | 80 | 70 | 87 | 92 | 90 | 65 | 70 | 53 | 79 | 32 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Lorenzo Juarez | 42 | 90 | 76 | 88 | 55 | 77 | 77 | USA | 49 | 4 | 1,400,000$ |
General Manager | Tim Krautz |
---|
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 | Derrell Hults | ![]() | RW | 6 | 3 | 3 | 6 | -3 | 0 | 0 | 14 | 19 | 5 | 7 | 15.79% | 0 | 17.79 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 0 | 0 | 1.00 | 0 | 1 | 0.82 | |||
2 | Laurent Godbout | ![]() | C | 6 | 1 | 4 | 5 | -6 | 0 | 0 | 2 | 24 | 12 | 11 | 4.17% | 0 | 19.86 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 59.52% | 0 | 0 | 0.83 | 0 | 1 | 0.59 | |||
3 | Orlando Wey | ![]() | LW | 6 | 1 | 3 | 4 | -5 | 0 | 0 | 9 | 9 | 3 | 7 | 11.11% | 3 | 17.81 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 54.05% | 0 | 0 | 0.67 | 1 | 1 | 0.36 | |||
4 | Jessy Soucy | ![]() | LW | 6 | 1 | 2 | 3 | 3 | 0 | 0 | 2 | 10 | 3 | 6 | 10.00% | 0 | 10.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.67 | |||
5 | Sang Tianzhi | ![]() | RW | 6 | 2 | 1 | 3 | 3 | 0 | 0 | 4 | 16 | 5 | 8 | 12.50% | 0 | 13.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 75.00% | 0 | 0 | 0.50 | 0 | 0 | 0.79 | |||
6 | K.C. Levers | ![]() | C | 6 | 0 | 2 | 2 | 3 | 0 | 0 | 19 | 8 | 5 | 8 | 0.00% | 0 | 13.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.88% | 0 | 0 | 0.33 | 0 | 0 | 0.56 | |||
7 | Ritchie Kruger | ![]() | C | 5 | 1 | 1 | 2 | -1 | 6 | 0 | 11 | 9 | 4 | 6 | 11.11% | 6 | 21.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.33% | 0 | 0 | 0.40 | 0 | 0 | 0.23 | |||
8 | Melker Lennartsson | ![]() | D | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 1 | 1 | 0.00% | 8 | 19.62 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.28 | |||
9 | Jeffery Pattyn | ![]() | D | 6 | 0 | 1 | 1 | -6 | 5 | 5 | 2 | 12 | 4 | 4 | 0.00% | 1 | 21.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.25 | |||
10 | Giff Bradbury | ![]() | LW | 6 | 0 | 1 | 1 | -1 | 5 | 5 | 7 | 15 | 4 | 11 | 0.00% | 1 | 9.91 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 35.71% | 0 | 0 | 0.17 | 0 | 0 | 0.17 | |||
11 | Joseph Knaus | ![]() | RW | 6 | 1 | 0 | 1 | -5 | 0 | 0 | 2 | 9 | 5 | 12 | 11.11% | 3 | 17.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.17 | 1 | 1 | 0.00 | |||
12 | Mikko Tasanen | ![]() | LW | 6 | 0 | 1 | 1 | -3 | 0 | 0 | 17 | 19 | 6 | 11 | 0.00% | 2 | 19.14 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 0 | 0 | 0.17 | 0 | 0 | 0.29 | |||
13 | Marek Cipera | ![]() | D | 6 | 1 | 0 | 1 | -1 | 2 | 0 | 6 | 11 | 1 | 2 | 9.09% | 11 | 22.14 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.23 | |||
14 | Iisakki Wallen | ![]() | C | 3 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 4 | 2 | 4 | 25.00% | 1 | 10.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56.67% | 0 | 0 | 0.33 | 0 | 0 | 0.30 | |||
15 | Bennet Gallahur | ![]() | D | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 2 | 1 | 20.00% | 8 | 15.39 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.39 | |||
16 | Jarl Molo | ![]() | D | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 8 | 3 | 6 | 0.00% | 9 | 22.48 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.12 | |||
17 | Eli Pajaczkowski | ![]() | D | 5 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 4 | 3 | 1 | 0.00% | 5 | 19.38 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
18 | Jamey Fequet | ![]() | RW | 6 | 0 | 0 | 0 | -4 | 0 | 0 | 10 | 5 | 4 | 2 | 0.00% | 0 | 9.74 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 43.75% | 0 | 0 | 0.00 | 0 | 0 | -0.12 | |||
19 | Ville Brendstrup | ![]() | D | 6 | 0 | 0 | 0 | -3 | 0 | 0 | 9 | 3 | 2 | 3 | 0.00% | 8 | 18.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
Team Total or Average | 104 | 13 | 20 | 33 | -34 | 18 | 10 | 120 | 192 | 74 | 111 | 6.77% | 66 | 16.92 | 2 | 2 | 4 | 95 | 0 | 0 | 0 | 25 | 1 | 0 | 47.02% | 319 | 46 | 40 | 0 | 0 | 0.38 | 2 | 4 |
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 | Pitt Kidwell | ![]() | 3 | 1 | 2 | 0 | 0.933 | 2.68 | 179 | 0 | 0 | 8 | 120 | 55 | 0 | 1 | 0.000 | 0 | 3 | 3 | 1 | 0 | 0 |
2 | Tsurayuki Shibahara | ![]() | 3 | 1 | 2 | 0 | 0.916 | 2.94 | 184 | 0 | 0 | 9 | 107 | 59 | 0 | 0 | 0.750 | 4 | 3 | 3 | 0 | 1 | 0 |
Team Total or Average | 6 | 2 | 4 | 0 | 0.925 | 2.81 | 363 | 0 | 0 | 17 | 227 | 114 | 0 | 1 | 0.750 | 4 | 6 | 6 | 1 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 124 |
Neutral Zone Start | 75 |
Defensive Zone Start | 132 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 161 |
Faceoffs Lost | 170 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 11 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 4 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 38.0 |
Goals For | 2.3 |
Goals Against | 3.0 |
Hits | 21.0 |
Shots Blocked | 11.2 |
Pim | 3.0 |
![]() | |
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 | 21 |
Contracts | 51/55 |
LTIR Players | 0 |
North Stars Roster | Pos | Age | Cap Hit | 2-3 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bennet Gallahur ![]() | D | 23 | 1,944,444$ | 1,944,444$ | 1,944,444$ | 1,944,444$ | 1,944,444$ | 1,944,444$ | |||
Derrell Hults ![]() | RW | 27 | 1,823,000$ | 1,823,000$ | 1,823,000$ | 1,823,000$ | |||||
Eli Pajaczkowski ![]() | D | 23 | 717,000$ | 717,000$ | |||||||
Giff Bradbury ![]() | LW | 27 | 560,000$ | 560,000$ | 560,000$ | 560,000$ | 560,000$ | ||||
Iisakki Wallen ![]() | C | 32 | 909,000$ | 909,000$ | |||||||
Jamey Fequet ![]() | RW | 19 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Jarl Molo ![]() | D | 28 | 1,884,444$ | 1,884,444$ | 1,884,444$ | 1,884,444$ | 1,884,444$ | 1,884,444$ | |||
Jeffery Pattyn ![]() | D | 28 | 444,000$ | 444,000$ | 444,000$ | ||||||
Jessy Soucy ![]() | LW | 24 | 1,644,444$ | 1,644,444$ | 1,644,444$ | 1,644,444$ | 1,644,444$ | 1,644,444$ | |||
Joseph Knaus ![]() | RW | 21 | 1,535,000$ | 1,535,000$ | |||||||
K.C. Levers ![]() | C | 28 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | |||||
Laurent Godbout ![]() | C | 25 | 2,844,444$ | 2,844,444$ | 2,844,444$ | 2,844,444$ | 2,844,444$ | 2,844,444$ | |||
Marek Cipera ![]() | D | 27 | 1,014,000$ | 1,014,000$ | 1,014,000$ | ||||||
Melker Lennartsson ![]() | D | 23 | 782,000$ | 782,000$ | 782,000$ | 782,000$ | 782,000$ | ||||
Mikko Tasanen ![]() | LW | 29 | 3,225,944$ | 3,225,944$ | 3,225,944$ | 3,225,944$ | 3,225,944$ | 3,225,944$ | |||
Orlando Wey ![]() | LW | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Pitt Kidwell ![]() | G | 29 | 1,530,000$ | 1,530,000$ | 1,530,000$ | ||||||
Ritchie Kruger ![]() | C | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Sang Tianzhi ![]() | RW | 21 | 1,330,000$ | 1,330,000$ | |||||||
Tsurayuki Shibahara ![]() | G | 27 | 1,632,500$ | 1,632,500$ | 1,632,500$ | 1,632,500$ | |||||
Ville Brendstrup ![]() | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
TOTAL | 28,275,220$ | 23,784,220$ | 20,796,220$ | 12,885,720$ | 11,543,720$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adolfo Bakewell ![]() | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Alex Kessell ![]() | RW | 21 | 490,000$ | 490,000$ | 490,000$ | 490,000$ | 490,000$ | ||||
Anton Kurali ![]() | C | 27 | 420,000$ | 420,000$ | 420,000$ | 420,000$ | |||||
Ballard Winston ![]() | LW | 22 | 1,993,444$ | 1,993,444$ | 1,993,444$ | 1,993,444$ | 1,993,444$ | 1,993,444$ | |||
Braden Dodd ![]() | D | 28 | 875,000$ | 875,000$ | 875,000$ | ||||||
Bucky Devore ![]() | D | 21 | 294,000$ | 294,000$ | 294,000$ | ||||||
Charles-Anthony Barilko ![]() | LW | 35 | 824,444$ | 824,444$ | |||||||
Daine Finley ![]() | RW | 21 | 346,000$ | 346,000$ | |||||||
Darryl Feltrin ![]() | RW | 25 | 311,000$ | 311,000$ | |||||||
Derick Sordet ![]() | G | 27 | 1,217,500$ | 1,217,500$ | 1,217,500$ | ||||||
Emilio Istad ![]() | G | 20 | 1,712,500$ | 1,712,500$ | 1,712,500$ | ||||||
Foxx Pletsch ![]() | C | 35 | 699,000$ | 699,000$ | |||||||
Huxley Vanderveen ![]() | D | 34 | 1,119,000$ | 1,119,000$ | 1,119,000$ | ||||||
Iko Poysti ![]() | C | 27 | 581,000$ | 581,000$ | 581,000$ | ||||||
Illija Ajbek ![]() | D | 30 | 1,144,444$ | 1,144,444$ | 1,144,444$ | 1,144,444$ | |||||
Keevin Fostvelt ![]() | G | 20 | 1,537,500$ | 1,537,500$ | 1,537,500$ | ||||||
Keven Brereton ![]() | C | 32 | 969,000$ | 969,000$ | |||||||
Nico Flache ![]() | D | 31 | 297,000$ | 297,000$ | |||||||
Paulo Keitaanranta ![]() | G | 25 | 1,365,000$ | 1,365,000$ | 1,365,000$ | 1,365,000$ | |||||
Pekka-Matti Laaperi ![]() | D | 22 | 321,000$ | 321,000$ | 321,000$ | 321,000$ | |||||
Phil Carter ![]() | LW | 35 | 1,744,444$ | 1,744,444$ | |||||||
Pierre-Anthony Comrie ![]() | RW | 26 | 745,000$ | 745,000$ | 745,000$ | ||||||
Quincy Dagenais ![]() | C | 27 | 485,000$ | 485,000$ | 485,000$ | 485,000$ | |||||
Rashit Musayev ![]() | D | 20 | 544,444$ | 544,444$ | 544,444$ | 544,444$ | |||||
Robert Friend ![]() | LW | 20 | 1,395,000$ | 1,395,000$ | 1,395,000$ | ||||||
Sarno Huopio ![]() | LW | 29 | 624,000$ | 624,000$ | 624,000$ | 624,000$ | |||||
Valery Adlerov ![]() | RW | 21 | 545,000$ | 545,000$ | 545,000$ | 545,000$ | 545,000$ | ||||
Valery Potemin ![]() | D | 35 | 789,000$ | 789,000$ | 789,000$ | ||||||
Vyacheslav Oleshko ![]() | D | 21 | 1,660,000$ | 1,660,000$ | |||||||
Wendell Sarrazin ![]() | LW | 25 | 1,444,444$ | 1,444,444$ | 1,444,444$ | 1,444,444$ | 1,444,444$ | 1,444,444$ | |||
TOTAL | 27,293,164 $ | 20,442,276$ | 10,176,776$ | 4,472,888$ | 3,437,888$ | 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 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 8 | 14 | 1 | 0 | 3 | 1 | 1 | 2 | 74 | 28 | 26 | 18 | 6 | 78 | 16 | 7 | 37 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 45 | 28 | 45 | 18 | 34 | 16 | 41.7% | 8.1% | 91.0% | 99.1 | Unlucky |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 59 | 20 | 25 | 14 | 0 | 74 | 29 | 4 | 42 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 40 | 22 | 44 | 18 | 35 | 17 | 25.0% | 3.4% | 91.9% | 95.3 | DULL |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 60 | 14 | 17 | 29 | 0 | 76 | 22 | 7 | 47 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 41 | 23 | 43 | 17 | 35 | 18 | 50.0% | 10.0% | 93.4% | 103.4 | LUCKY |
_Vs Division | 6 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 14 | 18 | -4 | 4 | 0.333 | 14 | 20 | 34 | 1 | 0 | 4 | 6 | 3 | 2 | 193 | 62 | 68 | 61 | 6 | 228 | 67 | 18 | 126 | 13 | 2 | 15.38% | 4 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 126 | 73 | 133 | 54 | 104 | 52 | 40.0% | 7.3% | 92.1% | 99.4 | DULL | |
_Vs Conference | 6 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 14 | 18 | -4 | 4 | 0.333 | 14 | 20 | 34 | 1 | 0 | 4 | 6 | 3 | 2 | 193 | 62 | 68 | 61 | 6 | 228 | 67 | 18 | 126 | 13 | 2 | 15.38% | 4 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 126 | 73 | 133 | 54 | 104 | 52 | 40.0% | 7.3% | 92.1% | 99.4 | DULL | |
_Since Last GM Reset | 6 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 14 | 18 | -4 | 4 | 0.333 | 14 | 20 | 34 | 1 | 0 | 4 | 6 | 3 | 2 | 193 | 62 | 68 | 61 | 6 | 228 | 67 | 18 | 126 | 13 | 2 | 15.38% | 4 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 126 | 73 | 133 | 54 | 104 | 52 | 40.0% | 7.3% | 92.1% | 99.4 | DULL | |
Total | 6 | 1 | 4 | 0 | 0 | 0 | 1 | 0 | 14 | 18 | -4 | 4 | 0.333 | 14 | 20 | 34 | 1 | 0 | 4 | 6 | 3 | 2 | 193 | 62 | 68 | 61 | 6 | 228 | 67 | 18 | 126 | 13 | 2 | 15.38% | 4 | 0 | 100.00% | 0 | 66 | 124 | 53.23% | 53 | 132 | 40.15% | 42 | 75 | 56.00% | 126 | 73 | 133 | 54 | 104 | 52 | 40.0% | 7.3% | 92.1% | 99.4 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 124 |
Neutral Zone Start | 75 |
Defensive Zone Start | 132 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 161 |
Faceoffs Lost | 170 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 11 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 2 |
PK Attempt | 4 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 38.0 |
Goals For | 2.3 |
Goals Against | 3.0 |
Hits | 21.0 |
Shots Blocked | 11.2 |
Pim | 3.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Nov 22 | ![]() | @ | ![]() | RAZ3,NOR1 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | NOR3,DOC5 | RECAP | |||||||||
Fri, Nov 24 | ![]() | @ | ![]() | NOR3,MUS1 | RECAP | |||||||||
Sun, Nov 26 | ![]() | @ | ![]() | DOC2,NOR3 (SO) | RECAP | |||||||||
Tue, Nov 28 | ![]() | @ | ![]() | MUS4,NOR3 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Nov 29 | ![]() | @ | ![]() | NOR1,RAZ3 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
28,275,220$ | 0$ | 0$ | 46,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Underground Station | |
City | Rochester | ||
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 |
28,275,220$ | 28,275,220$ | 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$ | 20,488,013$ | 20,488,013$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
21 yrs | LW | 79 | 58 | 82 | 97 | 64 | 97 | 76 | 57 | 80 | 96 | 84 | 93 | 70 | 89 | 42 | 69 | 83 | |
29 yrs | LW | 65 | 39 | 71 | 97 | 96 | 94 | 44 | 86 | 51 | 83 | 43 | 96 | 86 | 92 | 48 | 27 | 77 | |
27 yrs | LW | 58 | 69 | 62 | 73 | 68 | 73 | 94 | 89 | 58 | 73 | 60 | 98 | 67 | 96 | 68 | 43 | 75 | |
35 yrs | LW | 79 | 95 | 81 | 89 | 55 | 67 | 93 | 74 | 79 | 84 | 69 | 53 | 63 | 79 | 59 | 11 | 75 | |
29 yrs | LW | 91 | 68 | 66 | 86 | 63 | 63 | 84 | 98 | 70 | 77 | 72 | 47 | 90 | 67 | 56 | 26 | 74 | |
24 yrs | LW | 43 | 52 | 93 | 87 | 49 | 92 | 72 | 75 | 71 | 86 | 39 | 81 | 95 | 83 | 51 | 60 | 73 | |
20 yrs | LW | 82 | 29 | 88 | 77 | 83 | 79 | 80 | 90 | 68 | 58 | 48 | 53 | 88 | 76 | 91 | 79 | 72 | |
25 yrs | LW | 61 | 62 | 62 | 90 | 89 | 73 | 70 | 72 | 80 | 53 | 70 | 65 | 47 | 50 | 56 | 47 | 71 | |
22 yrs | LW | 82 | 63 | 75 | 92 | 75 | 59 | 65 | 79 | 48 | 55 | 58 | 93 | 37 | 40 | 51 | 66 | 71 | |
35 yrs | LW | 44 | 51 | 83 | 75 | 59 | 71 | 52 | 81 | 59 | 68 | 99 | 58 | 48 | 54 | 73 | 3 | 69 | |
Center | |||||||||||||||||||
25 yrs | C | 42 | 43 | 95 | 99 | 68 | 67 | 43 | 99 | 97 | 86 | 66 | 92 | 60 | 71 | 86 | 47 | 78 | |
32 yrs | C | 83 | 51 | 68 | 61 | 63 | 94 | 89 | 92 | 87 | 74 | 51 | 83 | 58 | 41 | 48 | 19 | 76 | |
18 yrs | C | 72 | 28 | 72 | 79 | 89 | 54 | 87 | 77 | 88 | 77 | 61 | 78 | 79 | 44 | 67 | 86 | 76 | |
28 yrs | C | 96 | 45 | 97 | 85 | 56 | 76 | 86 | 92 | 88 | 48 | 61 | 76 | 91 | 74 | 85 | 41 | 74 | |
32 yrs | C | 37 | 57 | 93 | 81 | 77 | 93 | 92 | 83 | 91 | 42 | 80 | 58 | 84 | 43 | 46 | 20 | 74 | |
27 yrs | C | 70 | 61 | 72 | 91 | 79 | 63 | 69 | 66 | 66 | 87 | 49 | 74 | 82 | 41 | 36 | 47 | 73 | |
35 yrs | C | 96 | 42 | 86 | 53 | 80 | 68 | 58 | 82 | 61 | 87 | 73 | 66 | 38 | 58 | 79 | 7 | 73 | |
27 yrs | C | 61 | 59 | 82 | 89 | 64 | 66 | 86 | 76 | 77 | 79 | 51 | 73 | 46 | 92 | 66 | 38 | 73 | |
27 yrs | C | 50 | 54 | 71 | 77 | 66 | 73 | 66 | 96 | 64 | 60 | 63 | 59 | 48 | 94 | 98 | 37 | 68 | |
Right Wing | |||||||||||||||||||
27 yrs | RW | 99 | 45 | 97 | 95 | 72 | 78 | 76 | 97 | 62 | 88 | 76 | 74 | 94 | 34 | 87 | 42 | 83 | |
21 yrs | RW | 38 | 53 | 90 | 77 | 79 | 66 | 69 | 95 | 59 | 80 | 83 | 85 | 82 | 81 | 46 | 66 | 77 | |
19 yrs | RW | 65 | 45 | 74 | 84 | 95 | 68 | 75 | 84 | 57 | 85 | 76 | 67 | 54 | 52 | 63 | 79 | 77 | |
21 yrs | RW | 58 | 39 | 69 | 90 | 86 | 76 | 83 | 77 | 59 | 69 | 41 | 87 | 45 | 60 | 86 | 73 | 74 | |
26 yrs | RW | 63 | 36 | 76 | 61 | 67 | 79 | 66 | 85 | 69 | 70 | 63 | 99 | 87 | 93 | 90 | 46 | 73 | |
21 yrs | RW | 86 | 54 | 65 | 86 | 49 | 86 | 47 | 95 | 58 | 75 | 58 | 85 | 81 | 53 | 67 | 66 | 72 | |
21 yrs | RW | 50 | 57 | 56 | 92 | 70 | 86 | 51 | 88 | 67 | 49 | 53 | 91 | 34 | 53 | 40 | 76 | 69 | |
25 yrs | RW | 56 | 68 | 67 | 77 | 70 | 71 | 47 | 86 | 64 | 62 | 42 | 96 | 71 | 87 | 91 | 49 | 68 | |
21 yrs | RW | 39 | 57 | 59 | 83 | 33 | 52 | 61 | 91 | 55 | 37 | 75 | 87 | 57 | 85 | 66 | 70 | 61 | |
Defense | |||||||||||||||||||
28 yrs | D | 99 | 48 | 78 | 70 | 99 | 75 | 74 | 91 | 25 | 71 | 50 | 70 | 38 | 40 | 53 | 39 | 74 | |
27 yrs | D | 51 | 55 | 75 | 93 | 75 | 94 | 86 | 69 | 25 | 52 | 61 | 95 | 71 | 54 | 64 | 35 | 73 | |
28 yrs | D | 56 | 60 | 80 | 82 | 87 | 61 | 70 | 97 | 25 | 73 | 54 | 84 | 73 | 46 | 90 | 36 | 72 | |
35 yrs | D | 35 | 59 | 74 | 96 | 58 | 99 | 65 | 96 | 25 | 80 | 34 | 77 | 76 | 74 | 97 | 4 | 71 | |
21 yrs | D | 81 | 39 | 86 | 82 | 85 | 68 | 58 | 75 | 25 | 83 | 47 | 78 | 74 | 84 | 79 | 74 | 71 | |
23 yrs | D | 43 | 37 | 82 | 81 | 61 | 77 | 69 | 67 | 25 | 72 | 59 | 99 | 35 | 65 | 53 | 56 | 70 | |
28 yrs | D | 39 | 52 | 83 | 90 | 82 | 86 | 80 | 62 | 25 | 54 | 50 | 99 | 65 | 41 | 76 | 39 | 70 | |
23 yrs | D | 41 | 55 | 87 | 89 | 64 | 70 | 91 | 90 | 25 | 47 | 56 | 94 | 72 | 95 | 60 | 57 | 70 | |
23 yrs | D | 32 | 63 | 93 | 96 | 78 | 67 | 73 | 77 | 25 | 51 | 77 | 85 | 51 | 53 | 52 | 57 | 70 | |
30 yrs | D | 60 | 48 | 90 | 92 | 40 | 71 | 71 | 82 | 25 | 52 | 76 | 90 | 95 | 77 | 94 | 20 | 69 | |
21 yrs | D | 55 | 59 | 80 | 80 | 73 | 76 | 74 | 82 | 25 | 54 | 49 | 94 | 87 | 36 | 88 | 76 | 69 | |
21 yrs | D | 79 | 37 | 64 | 86 | 61 | 94 | 81 | 62 | 25 | 47 | 45 | 96 | 69 | 48 | 48 | 68 | 68 | |
34 yrs | D | 87 | 42 | 79 | 86 | 61 | 61 | 49 | 76 | 25 | 47 | 66 | 98 | 95 | 95 | 97 | 7 | 66 | |
31 yrs | D | 65 | 42 | 88 | 89 | 88 | 71 | 47 | 73 | 25 | 49 | 36 | 81 | 65 | 71 | 71 | 27 | 65 | |
22 yrs | D | 65 | 50 | 70 | 96 | 72 | 57 | 56 | 87 | 25 | 54 | 33 | 73 | 32 | 73 | 55 | 65 | 64 | |
20 yrs | D | 54 | 49 | 54 | 94 | 54 | 92 | 35 | 88 | 25 | 62 | 33 | 76 | 61 | 90 | 49 | 74 | 63 | |
21 yrs | D | 46 | 45 | 61 | 71 | 52 | 52 | 71 | 94 | 25 | 54 | 34 | 75 | 37 | 56 | 47 | 70 | 60 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
29 yrs | G | 82 | 81 | 63 | 70 | 82 | 70 | 97 | 89 | 87 | 54 | 81 | 47 | 69 | 28 | 50 | 78 | |
27 yrs | G | 74 | 68 | 66 | 69 | 77 | 69 | 77 | 95 | 92 | 76 | 59 | 58 | 89 | 35 | 50 | 76 | |
20 yrs | G | 82 | 76 | 93 | 76 | 66 | 57 | 89 | 65 | 74 | 78 | 79 | 47 | 72 | 73 | 50 | 76 | |
25 yrs | G | 79 | 74 | 96 | 67 | 62 | 96 | 75 | 54 | 74 | 59 | 96 | 67 | 41 | 47 | 50 | 74 | |
20 yrs | G | 82 | 65 | 94 | 63 | 58 | 87 | 94 | 50 | 60 | 73 | 86 | 76 | 83 | 73 | 50 | 73 | |
27 yrs | G | 60 | 97 | 83 | 73 | 51 | 62 | 63 | 58 | 78 | 51 | 86 | 77 | 71 | 44 | 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 |
---|
|