

























GP | W | L | OT | Pts |
---|---|---|---|---|
6 | 6 | 0 | 0 | 12 |
GM: Kris Nissen | League Rank:1st | Arena: Los Muertos Arena |
Conference: Southern Conference | Conference Rank:1st | Capacity:17,000 |
Division: South West | Division Rank:1st | Total Player Salaries:30,557,500$ |
Captain: Niclas Saarelainen | Last 10: 6-0-0 | Bank Account:44,405,027$ |
Coach: Cyril Arseneault | Home: 2-0-0 | |
All-Time Record: 43 W - 30 L - 7 OTL | Away: 2-0-0 | |
# | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23 | ![]() | C | 100.00 | 64 | 58 | 73 | 87 | 88 | 90 | 73 | 88 | 92 | 77 | 72 | 90 | 74 | 66 | 55 | 79 | 82 | 20 | 2,360,000$/2yrs | ||||
22 | ![]() | LW | 100.00 | 48 | 37 | 73 | 88 | 75 | 86 | 72 | 93 | 79 | 78 | 82 | 76 | 47 | 43 | 60 | 81 | 79 | 19 | 1,000,000$/3yrs | ||||
19 | ![]() | RW | 100.00 | 62 | 57 | 92 | 98 | 79 | 99 | 76 | 95 | 74 | 55 | 99 | 34 | 57 | 80 | 84 | 49 | 78 | 26 | 1,528,000$/2yrs | ||||
11 | ![]() | C | 100.00 | 84 | 55 | 54 | 80 | 95 | 79 | 79 | 73 | 90 | 67 | 67 | 96 | 34 | 70 | 62 | 74 | 78 | 20 | 800,000$/3yrs | ||||
17 | ![]() | LW | 100.00 | 38 | 41 | 91 | 58 | 99 | 92 | 59 | 99 | 76 | 99 | 42 | 57 | 74 | 35 | 90 | 52 | 76 | 26 | 758,000$/3yrs | ||||
40 | ![]() | RW | 100.00 | 86 | 35 | 76 | 90 | 59 | 98 | 69 | 98 | 90 | 65 | 65 | 50 | 80 | 56 | 97 | 48 | 75 | 26 | 828,000$/3yrs | ||||
12 | ![]() | RW | 100.00 | 33 | 54 | 89 | 78 | 84 | 65 | 55 | 84 | 73 | 69 | 93 | 90 | 87 | 82 | 68 | 70 | 75 | 22 | 3,750,000$/5yrs | ||||
29 | ![]() | C | 100.00 | 92 | 61 | 57 | 73 | 73 | 85 | 43 | 83 | 95 | 85 | 81 | 57 | 55 | 84 | 62 | 63 | 74 | 23 | 1,950,000$/5yrs | ||||
38 | ![]() | LW | 100.00 | 38 | 39 | 58 | 71 | 68 | 93 | 91 | 95 | 51 | 79 | 76 | 57 | 68 | 63 | 63 | 70 | 74 | 21 | 1,645,000$/1yrs | ||||
36 | ![]() | LW | 100.00 | 76 | 65 | 79 | 60 | 74 | 99 | 81 | 92 | 68 | 45 | 46 | 81 | 81 | 92 | 62 | 32 | 71 | 28 | 500,000$/1yrs | ||||
88 | ![]() | C | 100.00 | 42 | 35 | 67 | 57 | 25 | 81 | 82 | 85 | 92 | 77 | 83 | 81 | 74 | 88 | 66 | 77 | 71 | 19 | 1,625,000$/3yrs | ||||
27 | ![]() | D | 100.00 | 92 | 45 | 72 | 79 | 85 | 84 | 66 | 94 | 25 | 69 | 71 | 70 | 65 | 60 | 93 | 1 | 75 | 36 | 1,044,000$/1yrs | ||||
2 | ![]() | D | 100.00 | 80 | 41 | 57 | 93 | 93 | 86 | 89 | 93 | 25 | 54 | 68 | 60 | 49 | 43 | 68 | 83 | 74 | 19 | 900,000$/3yrs | ||||
5 | ![]() | D | 100.00 | 54 | 65 | 72 | 55 | 74 | 99 | 96 | 86 | 25 | 52 | 69 | 93 | 50 | 87 | 85 | 21 | 73 | 31 | 854,000$/1yrs | ||||
10 | ![]() | D | 100.00 | 69 | 56 | 61 | 98 | 99 | 86 | 75 | 86 | 25 | 64 | 36 | 81 | 97 | 92 | 42 | 46 | 73 | 26 | 1,040,000$/4yrs | ||||
67 | ![]() | D | 100.00 | 85 | 58 | 90 | 82 | 82 | 84 | 78 | 68 | 25 | 45 | 87 | 76 | 61 | 39 | 81 | 7 | 72 | 33 | 1,154,000$/2yrs | ||||
3 | ![]() | D | 100.00 | 85 | 66 | 88 | 76 | 64 | 92 | 91 | 96 | 25 | 52 | 50 | 73 | 87 | 37 | 96 | 40 | 72 | 27 | 1,500,000$/3yrs | ||||
6 | ![]() | D | 100.00 | 79 | 49 | 88 | 64 | 71 | 98 | 42 | 85 | 25 | 88 | 73 | 53 | 73 | 88 | 77 | 10 | 71 | 35 | 1,500,000$/1yrs | ||||
42 | ![]() | C | 100.00 | 84 | 52 | 91 | 78 | 89 | 91 | 95 | 65 | 82 | 58 | 54 | 86 | 67 | 64 | 79 | 4 | 77 | 36 | 1,574,000$/1yrs | ||||
TEAM AVERAGE | 100.00 | 68 | 51 | 75 | 77 | 78 | 89 | 74 | 87 | 60 | 67 | 69 | 72 | 67 | 67 | 73 | 48 | 75 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 100.00 | 74 | 61 | 75 | 67 | 99 | 61 | 98 | 99 | 74 | 60 | 57 | 34 | 97 | 45 | 77 | 27 | 2,750,000$/5yrs |
33 | ![]() | 100.00 | 83 | 91 | 86 | 71 | 61 | 99 | 70 | 86 | 53 | 71 | 51 | 63 | 94 | 12 | 77 | 32 | 1,497,500$/1yrs |
TEAM AVERAGE | 100.00 | 79 | 76 | 81 | 69 | 80 | 80 | 84 | 93 | 64 | 66 | 54 | 49 | 96 | 29 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Cyril Arseneault | 62 | 58 | 77 | 99 | 41 | 41 | 93 | CAN | 62 | 1 | 2,500,000$ |
General Manager | Kris Nissen |
---|
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 | Donavon Sorley | ![]() | LW | 6 | 4 | 6 | 10 | 1 | 2 | 0 | 3 | 30 | 8 | 13 | 13.33% | 0 | 20.41 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 71.43% | 0 | 1 | 1.67 | 0 | 0 | 1.58 | |||
2 | Hale Labrecque | ![]() | RW | 6 | 5 | 3 | 8 | 1 | 0 | 0 | 0 | 26 | 7 | 17 | 19.23% | 6 | 19.82 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 3 | 1 | 60.00% | 0 | 0 | 1.33 | 0 | 0 | 1.46 | |||
3 | Elie Van Der Male | ![]() | C | 6 | 3 | 4 | 7 | 1 | 0 | 0 | 6 | 14 | 2 | 12 | 21.43% | 0 | 19.62 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 51.97% | 0 | 0 | 1.17 | 0 | 0 | 1.08 | |||
4 | Niclas Saarelainen | ![]() | RW | 6 | 1 | 5 | 6 | 4 | 0 | 0 | 3 | 24 | 6 | 17 | 4.17% | 4 | 20.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 0 | 0 | 1.00 | 0 | 0 | 1.31 | |||
5 | Jordie Devincentis | ![]() | D | 6 | 2 | 4 | 6 | 4 | 0 | 0 | 17 | 17 | 6 | 3 | 11.76% | 10 | 25.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 1.00 | 0 | 0 | 1.28 | |||
6 | Kody Schutz | ![]() | LW | 6 | 5 | 1 | 6 | 5 | 0 | 0 | 2 | 26 | 6 | 14 | 19.23% | 4 | 20.29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 1.00 | 1 | 1 | 1.42 | |||
7 | Dalen Palmateer | ![]() | C | 6 | 1 | 4 | 5 | 5 | 0 | 0 | 10 | 18 | 7 | 7 | 5.56% | 5 | 20.29 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 52.50% | 0 | 0 | 0.83 | 1 | 1 | 1.19 | |||
8 | Luke Vanni | ![]() | D | 6 | 2 | 2 | 4 | 5 | 2 | 0 | 22 | 6 | 3 | 1 | 33.33% | 7 | 21.26 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.92 | |||
9 | Niel Sharib | ![]() | D | 6 | 0 | 3 | 3 | 3 | 5 | 5 | 3 | 10 | 3 | 4 | 0.00% | 4 | 19.82 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.51 | |||
10 | Yannick Berard | ![]() | LW | 6 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 11 | 5 | 8 | 9.09% | 0 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 20.00% | 0 | 0 | 0.50 | 0 | 0 | 0.58 | |||
11 | Quinn Mccann | ![]() | D | 6 | 0 | 2 | 2 | 2 | 2 | 0 | 8 | 4 | 6 | 5 | 0.00% | 5 | 19.09 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.42 | |||
12 | Zachary Babin | ![]() | D | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 6 | 7 | 4 | 2 | 0.00% | 6 | 14.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.21 | |||
13 | Dillan Dewhurst | ![]() | RW | 6 | 1 | 0 | 1 | -1 | 0 | 0 | 9 | 24 | 9 | 15 | 4.17% | 2 | 17.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.17 | 0 | 0 | 0.49 | |||
14 | Crister Karlsen | ![]() | C | 6 | 0 | 0 | 0 | -1 | 2 | 0 | 11 | 3 | 0 | 3 | 0.00% | 3 | 8.18 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 72.73% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
15 | Derren Fox | ![]() | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.35 | |||
16 | Kirk Knackstedt | ![]() | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 2 | 8.01 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
17 | Onni Tuomanen | ![]() | D | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 4 | 2 | 0 | 0.00% | 3 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
18 | Tracy Peltz | ![]() | LW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 2 | 0.00% | 0 | 7.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
19 | John-Michael Mcdonough | ![]() | C | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 6 | 5 | 2 | 5 | 0.00% | 3 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 59.32% | 0 | 0 | 0.00 | 0 | 0 | 0.12 | |||
Team Total or Average | 108 | 25 | 37 | 62 | 28 | 15 | 5 | 111 | 229 | 78 | 129 | 10.92% | 64 | 16.72 | 4 | 6 | 10 | 101 | 0 | 0 | 0 | 43 | 5 | 2 | 54.42% | 362 | 44 | 45 | 2 | 1 | 0.69 | 2 | 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 | Lars-Bjorn Sundholm | ![]() | 6 | 6 | 0 | 0 | 0.925 | 2.63 | 365 | 2 | 0 | 16 | 212 | 104 | 0 | 0 | 1.000 | 2 | 6 | 0 | 0 | 1 | 1 |
Team Total or Average | 6 | 6 | 0 | 0 | 0.925 | 2.63 | 365 | 2 | 0 | 16 | 212 | 104 | 0 | 0 | 1.000 | 2 | 6 | 0 | 0 | 1 | 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 | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 145 |
Neutral Zone Start | 94 |
Defensive Zone Start | 121 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 197 |
Faceoffs Lost | 163 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.7 | 9.57 |
2nd Period | 24.0 | 20.31 |
3rd Period | 37.8 | 30.68 |
Overtime | 38.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 4 |
PK Attempt | 6 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 38.2 |
Shots Against | 35.3 |
Goals For | 4.3 |
Goals Against | 2.7 |
Hits | 18.5 |
Shots Blocked | 10.7 |
Pim | 2.8 |
![]() | |
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 | 55/55 |
LTIR Players | 0 |
Muertos Roster | Pos | Age | Cap Hit | 2-3 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Crister Karlsen ![]() | C | 23 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | |||
Dalen Palmateer ![]() | C | 20 | 2,360,000$ | 2,360,000$ | 2,360,000$ | ||||||
Derren Fox ![]() | C | 36 | 1,574,000$ | 1,574,000$ | |||||||
Dillan Dewhurst ![]() | RW | 26 | 828,000$ | 828,000$ | 828,000$ | 828,000$ | |||||
Donavon Sorley ![]() | LW | 21 | 1,645,000$ | 1,645,000$ | |||||||
Elie Van Der Male ![]() | C | 19 | 1,625,000$ | 1,625,000$ | 1,625,000$ | 1,625,000$ | |||||
Hale Labrecque ![]() | RW | 22 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | |||
Jack Berner ![]() | G | 32 | 1,497,500$ | 1,497,500$ | |||||||
John-Michael Mcdonough ![]() | C | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Jordie Devincentis ![]() | D | 36 | 1,044,000$ | 1,044,000$ | |||||||
Kirk Knackstedt ![]() | D | 33 | 1,154,000$ | 1,154,000$ | 1,154,000$ | ||||||
Kody Schutz ![]() | LW | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Lars-Bjorn Sundholm ![]() | G | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||
Luke Vanni ![]() | D | 19 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Niclas Saarelainen ![]() | RW | 26 | 1,528,000$ | 1,528,000$ | 1,528,000$ | ||||||
Niel Sharib ![]() | D | 31 | 854,000$ | 854,000$ | |||||||
Onni Tuomanen ![]() | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Quinn Mccann ![]() | D | 26 | 1,040,000$ | 1,040,000$ | 1,040,000$ | 1,040,000$ | 1,040,000$ | ||||
Tracy Peltz ![]() | LW | 28 | 500,000$ | 500,000$ | |||||||
Yannick Berard ![]() | LW | 26 | 758,000$ | 758,000$ | 758,000$ | 758,000$ | |||||
Zachary Babin ![]() | D | 35 | 1,500,000$ | 1,500,000$ | |||||||
TOTAL | 30,557,500$ | 21,943,000$ | 16,901,000$ | 9,490,000$ | 8,450,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatami Horppu ![]() | D | 26 | 480,000$ | 480,000$ | |||||||
Ake Ostlin ![]() | RW | 27 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ||||
Alek Isotalus ![]() | D | 26 | 475,000$ | 475,000$ | |||||||
Artem Ivalahti ![]() | RW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Benito Buckley ![]() | D | 21 | 377,000$ | 377,000$ | 377,000$ | 377,000$ | 377,000$ | ||||
Charles-Eric Bram ![]() | RW | 34 | 294,000$ | 294,000$ | |||||||
Dave Gonzalez ![]() | LW | 35 | 529,000$ | 529,000$ | |||||||
David Hutchings ![]() | LW | 20 | 200,000$ | 200,000$ | 200,000$ | 200,000$ | 200,000$ | ||||
Dmitry Pevtsov ![]() | D | 33 | 1,049,000$ | 1,049,000$ | 1,049,000$ | ||||||
Dustin Tousignant ![]() | G | 25 | 200,000$ | 200,000$ | 200,000$ | 200,000$ | 200,000$ | 200,000$ | |||
Emmery Gruer ![]() | G | 36 | 1,267,500$ | 1,267,500$ | 1,267,500$ | ||||||
Erik Blain ![]() | RW | 26 | 300,000$ | 300,000$ | |||||||
Feng Xingyi ![]() | LW | 21 | 1,265,000$ | 1,265,000$ | |||||||
Francois-Xavier Barnhart ![]() | C | 21 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||
Gareth Mccrary ![]() | D | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Hannu-Petteri Hatinen ![]() | RW | 24 | 612,000$ | 612,000$ | |||||||
Ignaty Zhilkin ![]() | C | 32 | 349,000$ | 349,000$ | 349,000$ | 349,000$ | |||||
Jaxson Sergerie ![]() | D | 26 | 700,000$ | 700,000$ | |||||||
Jaynen Cattani ![]() | C | 28 | 304,000$ | 304,000$ | |||||||
Joel Tetley ![]() | D | 19 | 412,000$ | 412,000$ | 412,000$ | 412,000$ | 412,000$ | ||||
Johnathan Jonas ![]() | LW | 22 | 224,000$ | 224,000$ | 224,000$ | 224,000$ | 224,000$ | ||||
Kevin Elson ![]() | RW | 25 | 1,143,000$ | 1,143,000$ | |||||||
Maksim Voronin ![]() | RW | 25 | 887,000$ | 887,000$ | 887,000$ | 887,000$ | |||||
Mattias Lenander ![]() | C | 28 | 320,000$ | 320,000$ | 320,000$ | 320,000$ | |||||
Milek Dziewonski ![]() | C | 33 | 280,000$ | 280,000$ | |||||||
Pelle Jonson ![]() | D | 19 | 1,225,000$ | 1,225,000$ | 1,225,000$ | 1,225,000$ | 1,225,000$ | ||||
Ric Heide ![]() | RW | 34 | 754,000$ | 754,000$ | 754,000$ | ||||||
Semyon Pashkov ![]() | LW | 21 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | 500,000$ | 500,000$ | |||
Spencer Osburn ![]() | D | 26 | 343,000$ | 343,000$ | 343,000$ | 343,000$ | |||||
Stan Krowina ![]() | G | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||
Steele Fitsell ![]() | LW | 35 | 1,234,000$ | 1,234,000$ | 1,234,000$ | ||||||
Tord Tourula ![]() | G | 20 | 1,395,000$ | 1,395,000$ | 1,395,000$ | ||||||
Torrey Birdsell ![]() | C | 29 | 979,000$ | 979,000$ | |||||||
Zayden Rankine ![]() | LW | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||
TOTAL | 24,122,500 $ | 16,761,500$ | 11,062,000$ | 7,063,000$ | 3,700,000$ | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 0 | 3 | 5 | 1 | 64 | 21 | 18 | 24 | 1 | 72 | 22 | 6 | 42 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 40 | 21 | 44 | 17 | 35 | 18 | 53.8% | 14.1% | 91.7% | 105.7 | LUCKY |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 11 | 20 | 0 | 0 | 3 | 0 | 5 | 2 | 82 | 28 | 17 | 36 | 3 | 71 | 18 | 9 | 27 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 45 | 28 | 44 | 16 | 35 | 17 | 57.1% | 11.0% | 91.5% | 102.5 | LUCKY |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 4 | 2 | 0 | 83 | 33 | 27 | 23 | 0 | 69 | 24 | 2 | 42 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 44 | 27 | 40 | 15 | 35 | 18 | 70.0% | 9.6% | 94.2% | 103.8 | LUCKY |
_Vs Division | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 16 | 10 | 12 | 1.000 | 26 | 37 | 63 | 0 | 0 | 5 | 7 | 12 | 3 | 229 | 82 | 62 | 83 | 4 | 212 | 64 | 17 | 111 | 13 | 4 | 30.77% | 6 | 1 | 83.33% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 130 | 78 | 129 | 50 | 105 | 55 | 59.5% | 11.4% | 92.5% | 103.8 | LUCKY | |
_Vs Conference | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 16 | 10 | 12 | 1.000 | 26 | 37 | 63 | 0 | 0 | 5 | 7 | 12 | 3 | 229 | 82 | 62 | 83 | 4 | 212 | 64 | 17 | 111 | 13 | 4 | 30.77% | 6 | 1 | 83.33% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 130 | 78 | 129 | 50 | 105 | 55 | 59.5% | 11.4% | 92.5% | 103.8 | LUCKY | |
_Since Last GM Reset | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 16 | 10 | 12 | 1.000 | 26 | 37 | 63 | 0 | 0 | 5 | 7 | 12 | 3 | 229 | 82 | 62 | 83 | 4 | 212 | 64 | 17 | 111 | 13 | 4 | 30.77% | 6 | 1 | 83.33% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 130 | 78 | 129 | 50 | 105 | 55 | 59.5% | 11.4% | 92.5% | 103.8 | LUCKY | |
Total | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 16 | 10 | 12 | 1.000 | 26 | 37 | 63 | 0 | 0 | 5 | 7 | 12 | 3 | 229 | 82 | 62 | 83 | 4 | 212 | 64 | 17 | 111 | 13 | 4 | 30.77% | 6 | 1 | 83.33% | 0 | 80 | 145 | 55.17% | 62 | 121 | 51.24% | 55 | 94 | 58.51% | 130 | 78 | 129 | 50 | 105 | 55 | 59.5% | 11.4% | 92.5% | 103.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 145 |
Neutral Zone Start | 94 |
Defensive Zone Start | 121 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 197 |
Faceoffs Lost | 163 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.7 | 9.57 |
2nd Period | 24.0 | 20.31 |
3rd Period | 37.8 | 30.68 |
Overtime | 38.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 13 |
---|---|
PP Goal | 4 |
PK Attempt | 6 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 38.2 |
Shots Against | 35.3 |
Goals For | 4.3 |
Goals Against | 2.7 |
Hits | 18.5 |
Shots Blocked | 10.7 |
Pim | 2.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Nov 22 | ![]() | @ | ![]() | MUE4,DYN2 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | DYN4,MUE5 (OT) | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | ORC2,MUE4 | RECAP | |||||||||
Sun, Nov 26 | ![]() | @ | ![]() | MUE5,ORC4 (SO) | RECAP | |||||||||
Tue, Nov 28 | ![]() | @ | ![]() | MUE4,HIG2 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Nov 29 | ![]() | @ | ![]() | HIG2,MUE4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
30,557,500$ | 0$ | 0$ | 46,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Los Muertos Arena | |
City | Tucson | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 90$ | 50$ | 30$ | 20$ | 195$ |
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 |
30,557,500$ | 30,557,500$ | 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$ | 44,405,027$ | 44,405,027$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
19 yrs | LW | 48 | 37 | 73 | 88 | 75 | 86 | 72 | 93 | 79 | 78 | 82 | 76 | 47 | 43 | 60 | 81 | 79 | |
26 yrs | LW | 38 | 41 | 91 | 58 | 99 | 92 | 59 | 99 | 76 | 99 | 42 | 57 | 74 | 35 | 90 | 52 | 76 | |
21 yrs | LW | 38 | 39 | 58 | 71 | 68 | 93 | 91 | 95 | 51 | 79 | 76 | 57 | 68 | 63 | 63 | 70 | 74 | |
21 yrs | LW | 45 | 45 | 92 | 71 | 77 | 90 | 59 | 85 | 49 | 92 | 56 | 76 | 86 | 50 | 63 | 72 | 74 | |
21 yrs | LW | 92 | 53 | 77 | 94 | 54 | 73 | 87 | 59 | 55 | 68 | 56 | 93 | 87 | 86 | 33 | 72 | 73 | |
35 yrs | LW | 70 | 40 | 79 | 74 | 71 | 96 | 90 | 63 | 76 | 43 | 65 | 89 | 39 | 71 | 43 | 5 | 72 | |
28 yrs | LW | 76 | 65 | 79 | 60 | 74 | 99 | 81 | 92 | 68 | 45 | 46 | 81 | 81 | 92 | 62 | 32 | 71 | |
35 yrs | LW | 64 | 39 | 73 | 60 | 37 | 57 | 84 | 80 | 71 | 76 | 79 | 72 | 41 | 83 | 74 | 4 | 69 | |
21 yrs | LW | 81 | 40 | 44 | 56 | 92 | 87 | 87 | 94 | 58 | 53 | 55 | 49 | 50 | 39 | 59 | 66 | 69 | |
20 yrs | LW | 75 | 49 | 81 | 93 | 76 | 93 | 35 | 90 | 72 | 48 | 63 | 47 | 55 | 58 | 79 | 79 | 68 | |
22 yrs | LW | 31 | 55 | 76 | 62 | 50 | 54 | 47 | 56 | 89 | 92 | 38 | 93 | 48 | 41 | 69 | 63 | 64 | |
Center | |||||||||||||||||||
20 yrs | C | 64 | 58 | 73 | 87 | 88 | 90 | 73 | 88 | 92 | 77 | 72 | 90 | 74 | 66 | 55 | 79 | 82 | |
20 yrs | C | 84 | 55 | 54 | 80 | 95 | 79 | 79 | 73 | 90 | 67 | 67 | 96 | 34 | 70 | 62 | 74 | 78 | |
36 yrs | C | 84 | 52 | 91 | 78 | 89 | 91 | 95 | 65 | 82 | 58 | 54 | 86 | 67 | 64 | 79 | 4 | 77 | |
29 yrs | C | 78 | 66 | 75 | 87 | 93 | 93 | 51 | 93 | 91 | 67 | 60 | 65 | 70 | 82 | 34 | 31 | 76 | |
23 yrs | C | 92 | 61 | 57 | 73 | 73 | 85 | 43 | 83 | 95 | 85 | 81 | 57 | 55 | 84 | 62 | 63 | 74 | |
28 yrs | C | 94 | 59 | 62 | 93 | 53 | 65 | 89 | 99 | 76 | 57 | 86 | 31 | 57 | 44 | 49 | 33 | 72 | |
32 yrs | C | 78 | 60 | 78 | 80 | 39 | 68 | 86 | 72 | 85 | 68 | 48 | 97 | 88 | 47 | 41 | 13 | 71 | |
19 yrs | C | 42 | 35 | 67 | 57 | 25 | 81 | 82 | 85 | 92 | 77 | 83 | 81 | 74 | 88 | 66 | 77 | 71 | |
21 yrs | C | 40 | 60 | 64 | 60 | 81 | 74 | 83 | 91 | 96 | 62 | 79 | 43 | 89 | 52 | 90 | 65 | 70 | |
33 yrs | C | 86 | 36 | 70 | 65 | 84 | 64 | 50 | 95 | 63 | 46 | 56 | 83 | 84 | 84 | 98 | 11 | 68 | |
28 yrs | C | 49 | 50 | 72 | 84 | 85 | 54 | 49 | 90 | 99 | 47 | 46 | 74 | 53 | 44 | 53 | 35 | 66 | |
Right Wing | |||||||||||||||||||
26 yrs | RW | 62 | 57 | 92 | 98 | 79 | 99 | 76 | 95 | 74 | 55 | 99 | 34 | 57 | 80 | 84 | 49 | 78 | |
25 yrs | RW | 56 | 42 | 91 | 70 | 88 | 97 | 87 | 83 | 69 | 61 | 83 | 38 | 73 | 40 | 35 | 51 | 75 | |
26 yrs | RW | 86 | 35 | 76 | 90 | 59 | 98 | 69 | 98 | 90 | 65 | 65 | 50 | 80 | 56 | 97 | 48 | 75 | |
22 yrs | RW | 33 | 54 | 89 | 78 | 84 | 65 | 55 | 84 | 73 | 69 | 93 | 90 | 87 | 82 | 68 | 70 | 75 | |
34 yrs | RW | 73 | 44 | 66 | 77 | 72 | 87 | 84 | 62 | 88 | 83 | 56 | 68 | 34 | 93 | 52 | 10 | 74 | |
25 yrs | RW | 42 | 37 | 76 | 92 | 75 | 93 | 64 | 69 | 72 | 43 | 75 | 89 | 42 | 76 | 49 | 56 | 72 | |
24 yrs | RW | 88 | 40 | 68 | 78 | 93 | 58 | 63 | 87 | 72 | 76 | 65 | 49 | 35 | 92 | 67 | 59 | 72 | |
19 yrs | RW | 55 | 45 | 83 | 82 | 71 | 68 | 77 | 74 | 72 | 76 | 90 | 25 | 47 | 56 | 53 | 78 | 71 | |
27 yrs | RW | 57 | 59 | 67 | 62 | 64 | 55 | 46 | 71 | 96 | 91 | 60 | 91 | 92 | 83 | 90 | 40 | 70 | |
34 yrs | RW | 82 | 41 | 60 | 60 | 92 | 92 | 62 | 99 | 67 | 42 | 45 | 70 | 83 | 48 | 35 | 8 | 69 | |
26 yrs | RW | 72 | 46 | 97 | 83 | 91 | 58 | 41 | 91 | 67 | 39 | 54 | 86 | 96 | 88 | 51 | 41 | 68 | |
Defense | |||||||||||||||||||
36 yrs | D | 92 | 45 | 72 | 79 | 85 | 84 | 66 | 94 | 25 | 69 | 71 | 70 | 65 | 60 | 93 | 1 | 75 | |
19 yrs | D | 80 | 41 | 57 | 93 | 93 | 86 | 89 | 93 | 25 | 54 | 68 | 60 | 49 | 43 | 68 | 83 | 74 | |
31 yrs | D | 54 | 65 | 72 | 55 | 74 | 99 | 96 | 86 | 25 | 52 | 69 | 93 | 50 | 87 | 85 | 21 | 73 | |
26 yrs | D | 69 | 56 | 61 | 98 | 99 | 86 | 75 | 86 | 25 | 64 | 36 | 81 | 97 | 92 | 42 | 46 | 73 | |
33 yrs | D | 85 | 58 | 90 | 82 | 82 | 84 | 78 | 68 | 25 | 45 | 87 | 76 | 61 | 39 | 81 | 7 | 72 | |
27 yrs | D | 85 | 66 | 88 | 76 | 64 | 92 | 91 | 96 | 25 | 52 | 50 | 73 | 87 | 37 | 96 | 40 | 72 | |
35 yrs | D | 79 | 49 | 88 | 64 | 71 | 98 | 42 | 85 | 25 | 88 | 73 | 53 | 73 | 88 | 77 | 10 | 71 | |
33 yrs | D | 81 | 57 | 91 | 56 | 70 | 82 | 87 | 62 | 25 | 68 | 61 | 82 | 84 | 43 | 93 | 8 | 70 | |
33 yrs | D | 84 | 69 | 71 | 90 | 64 | 73 | 50 | 61 | 25 | 71 | 47 | 98 | 92 | 38 | 44 | 10 | 68 | |
26 yrs | D | 59 | 57 | 92 | 87 | 69 | 59 | 85 | 66 | 25 | 55 | 67 | 81 | 99 | 57 | 96 | 43 | 68 | |
26 yrs | D | 89 | 53 | 82 | 57 | 47 | 85 | 79 | 98 | 25 | 73 | 44 | 67 | 51 | 47 | 59 | 47 | 68 | |
26 yrs | D | 98 | 52 | 76 | 67 | 55 | 81 | 74 | 61 | 25 | 79 | 43 | 75 | 69 | 49 | 81 | 49 | 67 | |
26 yrs | D | 41 | 70 | 85 | 98 | 53 | 67 | 85 | 83 | 25 | 54 | 47 | 76 | 90 | 59 | 46 | 47 | 67 | |
19 yrs | D | 88 | 57 | 61 | 89 | 80 | 66 | 75 | 77 | 25 | 49 | 32 | 72 | 81 | 81 | 98 | 81 | 65 | |
21 yrs | D | 92 | 43 | 85 | 89 | 53 | 86 | 82 | 72 | 25 | 45 | 36 | 53 | 47 | 35 | 80 | 74 | 64 | |
19 yrs | D | 35 | 37 | 59 | 54 | 74 | 90 | 73 | 64 | 25 | 79 | 56 | 48 | 53 | 73 | 49 | 83 | 64 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
27 yrs | G | 74 | 61 | 75 | 67 | 99 | 61 | 98 | 99 | 74 | 60 | 57 | 34 | 97 | 45 | 50 | 77 | |
32 yrs | G | 83 | 91 | 86 | 71 | 61 | 99 | 70 | 86 | 53 | 71 | 51 | 63 | 94 | 12 | 50 | 77 | |
25 yrs | G | 62 | 56 | 96 | 81 | 55 | 58 | 62 | 93 | 86 | 86 | 81 | 60 | 34 | 49 | 50 | 74 | |
21 yrs | G | 93 | 49 | 90 | 98 | 70 | 49 | 47 | 80 | 74 | 92 | 72 | 94 | 53 | 67 | 50 | 74 | |
20 yrs | G | 76 | 62 | 92 | 62 | 95 | 76 | 79 | 61 | 67 | 50 | 87 | 84 | 29 | 80 | 50 | 72 | |
36 yrs | G | 53 | 61 | 88 | 74 | 61 | 84 | 81 | 91 | 53 | 55 | 93 | 94 | 81 | 10 | 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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