

GP | W | L | OT | Pts |
---|---|---|---|---|
0 | 0 | 0 | 0 | 0 |
GM: Cameron Clow![]() |
League Rank:15th | Arena: Mile High Saloon |
Conference: Northern Conference | Conference Rank:6th | Capacity:17,000 |
Division: North West | Division Rank:4th | Total Player Salaries:51,163,348$ |
Captain: Rickey Rogan | Last 10: 0-0-0 | Bank Account:82,304,416$ |
Coach: Trent O'Brien | Home: 0-0-0 | |
All-Time Record: 175 W - 120 L - 25 OTL | Away: 0-0-0 | |
# | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8 | ![]() | RW | 100.00 | 77 | 44 | 81 | 74 | 99 | 92 | 85 | 91 | 92 | 99 | 92 | 48 | 94 | 76 | 52 | 30 | 85 | 30 | 1,928,000$/1yrs | ||||
4 | ![]() | RW | 100.00 | 41 | 63 | 91 | 75 | 93 | 79 | 64 | 76 | 80 | 87 | 99 | 99 | 45 | 55 | 36 | 15 | 82 | 32 | 3,900,000$/2yrs | ||||
70 | ![]() | C | 100.00 | 52 | 31 | 59 | 88 | 78 | 66 | 92 | 91 | 86 | 88 | 80 | 99 | 28 | 54 | 37 | 54 | 82 | 23 | 2,850,000$/4yrs | ||||
19 | ![]() | LW | 100.00 | 81 | 50 | 70 | 88 | 99 | 74 | 90 | 99 | 69 | 96 | 75 | 44 | 42 | 91 | 83 | 54 | 82 | 24 | 2,900,000$/4yrs | ||||
16 | ![]() | LW | 100.00 | 82 | 61 | 89 | 82 | 53 | 92 | 73 | 74 | 95 | 86 | 88 | 82 | 79 | 37 | 73 | 26 | 81 | 31 | 2,675,000$/1yrs | ||||
18 | ![]() | LW | 100.00 | 83 | 27 | 71 | 84 | 74 | 71 | 58 | 79 | 73 | 94 | 92 | 81 | 58 | 32 | 41 | 68 | 79 | 21 | 3,295,000$/4yrs | ||||
35 | ![]() | C | 100.00 | 49 | 44 | 70 | 65 | 95 | 88 | 61 | 89 | 95 | 81 | 57 | 91 | 79 | 40 | 39 | 4 | 77 | 34 | 719,000$/1yrs | ||||
49 | ![]() | RW | 100.00 | 59 | 39 | 95 | 83 | 58 | 72 | 63 | 64 | 83 | 94 | 96 | 74 | 54 | 42 | 34 | 10 | 77 | 33 | 1,999,990$/2yrs | ||||
22 | ![]() | C | 100.00 | 40 | 28 | 59 | 96 | 99 | 76 | 68 | 86 | 99 | 47 | 98 | 74 | 79 | 66 | 33 | 76 | 77 | 21 | 2,550,000$/5yrs | ||||
82 | ![]() | RW | 100.00 | 38 | 42 | 97 | 59 | 74 | 83 | 79 | 98 | 54 | 91 | 85 | 44 | 60 | 86 | 41 | 37 | 75 | 28 | 2,350,000$/2yrs | ||||
64 | ![]() | LW | 100.00 | 88 | 64 | 86 | 80 | 64 | 85 | 61 | 84 | 70 | 49 | 77 | 80 | 69 | 85 | 54 | 1 | 73 | 35 | 1,900,000$/1yrs | ||||
24 | ![]() | D | 100.00 | 62 | 58 | 75 | 75 | 99 | 99 | 60 | 86 | 25 | 92 | 73 | 99 | 38 | 53 | 61 | 44 | 83 | 27 | 1,572,000$/1yrs | ||||
28 | ![]() | D | 100.00 | 98 | 53 | 99 | 76 | 77 | 97 | 98 | 98 | 25 | 42 | 62 | 94 | 80 | 78 | 92 | 15 | 82 | 32 | 2,500,000$/2yrs | ||||
43 | ![]() | D | 100.00 | 51 | 55 | 77 | 93 | 77 | 99 | 89 | 69 | 25 | 54 | 62 | 99 | 71 | 54 | 64 | 19 | 78 | 30 | 2,300,000$/3yrs | ||||
56 | ![]() | D | 100.00 | 71 | 37 | 77 | 91 | 64 | 67 | 94 | 95 | 25 | 49 | 54 | 84 | 62 | 41 | 51 | 48 | 73 | 25 | 1,513,000$/2yrs | ||||
14 | ![]() | C | 100.00 | 93 | 39 | 71 | 97 | 81 | 76 | 63 | 82 | 95 | 90 | 99 | 82 | 44 | 35 | 78 | 21 | 84 | 32 | 3,938,858$/1yrs | ||||
62 | ![]() | LW | 100.00 | 72 | 46 | 94 | 80 | 99 | 98 | 88 | 91 | 59 | 40 | 78 | 76 | 64 | 61 | 70 | 57 | 78 | 24 | 1,850,000$/3yrs | ||||
84 | ![]() | D | 100.00 | 99 | 36 | 63 | 80 | 81 | 83 | 94 | 81 | 25 | 38 | 72 | 89 | 87 | 38 | 74 | 62 | 78 | 23 | 900,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 54 | 73 | 73 | 80 | 89 | 74 | 77 | 80 | 61 | 82 | 87 | 63 | 73 | 60 | 83 | 72 | 78 | 21 | 1,000,000$/3yrs | ||||
63 | ![]() | D | 100.00 | 63 | 36 | 98 | 68 | 75 | 70 | 79 | 73 | 25 | 80 | 69 | 99 | 82 | 79 | 99 | 43 | 76 | 28 | 2,100,000$/1yrs | ||||
77 | ![]() | D | 100.00 | 94 | 30 | 77 | 98 | 77 | 75 | 66 | 96 | 25 | 41 | 75 | 91 | 85 | 30 | 83 | 59 | 76 | 24 | 2,200,000$/5yrs | ||||
TEAM AVERAGE | 100.00 | 69 | 46 | 80 | 82 | 81 | 82 | 76 | 85 | 61 | 72 | 80 | 81 | 65 | 57 | 61 | 39 | 79 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33 | ![]() | 100.00 | 87 | 61 | 53 | 65 | 85 | 90 | 99 | 91 | 84 | 90 | 83 | 90 | 88 | 42 | 80 | 28 | 1,672,500$/1yrs |
40 | ![]() | 100.00 | 90 | 65 | 67 | 92 | 87 | 92 | 63 | 80 | 88 | 64 | 92 | 74 | 57 | 67 | 79 | 22 | 2,550,000$/5yrs |
TEAM AVERAGE | 100.00 | 89 | 63 | 60 | 79 | 86 | 91 | 81 | 86 | 86 | 77 | 88 | 82 | 73 | 55 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Trent O'Brien | 48 | 90 | 84 | 82 | 61 | 71 | 15 | CAN | 46 | 1 | 950,000$ |
General Manager | Cameron Clow |
---|
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 |
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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 |
---|
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 | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 59,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
Contracts | 44/55 |
LTIR Players | 0 |
Bandits Roster | Pos | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|
Abram Nalyvaichuk ![]() | D | 23 | 900,000$ | 900,000$ | |||||||
Cade Calkins ![]() | C | 21 | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | ||
David Manno ![]() | LW | 21 | 3,295,000$ | 3,295,000$ | 3,295,000$ | 3,295,000$ | 3,295,000$ | 3,295,000$ | |||
Dayn Yablonski ![]() | D | 25 | 1,513,000$ | 1,513,000$ | 1,513,000$ | ||||||
Denis Kochetkov ![]() | D | 24 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||
Dominick Maclellan ![]() | C | 23 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | ||||
Harri-Juhani Sutelainen ![]() | G | 28 | 1,672,500$ | 1,672,500$ | |||||||
Hillel Hopson ![]() | RW | 33 | 1,999,990$ | 1,999,990$ | 1,999,990$ | 1,999,990$ | |||||
Jonah Keitaanranta ![]() | D | 28 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Jory Doucette ![]() | LW | 24 | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||
Lloyd Mceachern ![]() | LW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | |||
Lukasz Pomfret ![]() | D | 27 | 1,572,000$ | 1,572,000$ | |||||||
Magnus Magnusson ![]() | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Marek Cipera ![]() | D | 30 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | |||||
Nino Hebar ![]() | C | 32 | 3,938,858$ | 3,938,858$ | |||||||
Pete Eckersley ![]() | C | 34 | 719,000$ | 719,000$ | |||||||
Quinton Parsons ![]() | LW | 31 | 2,675,000$ | 2,675,000$ | |||||||
Rickey Rogan ![]() | D | 32 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Timothy Pham ![]() | LW | 35 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Tom Folke ![]() | RW | 32 | 3,900,000$ | 3,900,000$ | 3,900,000$ | ||||||
Vallu Vaatainen ![]() | RW | 28 | 2,350,000$ | 2,350,000$ | 2,350,000$ | 2,350,000$ | |||||
Vladilen Kanareikin ![]() | RW | 30 | 1,928,000$ | 1,928,000$ | |||||||
Wiktor Ehn ![]() | G | 22 | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | 2,550,000$ | ||
TOTAL | 51,163,348$ | 57,452,980$ | 41,189,990$ | 31,690,000$ | 20,795,000$ | 7,300,000$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|
Antonio Donohoe ![]() | RW | 23 | 0$ | 0$ | |||||||
Boof Eccleston ![]() | LW | 27 | 1,028,000$ | 1,028,000$ | |||||||
Bradford Tribe ![]() | C | 30 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||||
Burl Mckeoron ![]() | RW | 28 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | |||||
Cedric Langlands ![]() | D | 27 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||
Cullen Varty ![]() | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Culley Daggett ![]() | D | 21 | 800,000$ | 800,000$ | |||||||
Evin Lapointe ![]() | LW | 21 | 1,000,000$ | 1,000,000$ | |||||||
Glyn Dahl ![]() | C | 33 | 700,000$ | 700,000$ | |||||||
Grigory Akatyev ![]() | D | 23 | 0$ | 0$ | |||||||
Ives Risley ![]() | G | 34 | 1,525,775$ | 1,525,775$ | 1,525,775$ | 1,525,775$ | |||||
Kael Sobkow ![]() | RW | 30 | 1,024,000$ | 1,024,000$ | |||||||
Reuben Penttinen ![]() | D | 28 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
Ronan Diotte ![]() | D | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Seb Macoretta ![]() | LW | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Shannon Debrusk ![]() | D | 34 | 1,850,000$ | 1,850,000$ | |||||||
Shaun Dorais ![]() | G | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Stephen Randell ![]() | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Terence Kenway ![]() | D | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Vladimir Opochinin ![]() | G | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Wesley Groulx ![]() | C | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Yaroslav Zhidkikh ![]() | LW | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Zeke Carson ![]() | RW | 23 | 800,000$ | 800,000$ | |||||||
TOTAL | 22,727,775 $ | 14,825,775$ | 8,450,000$ | 1,900,000$ | 0$ | 0$ | 0$ | 0$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
51,163,348$ | 0$ | 0$ | 59,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Mile High Saloon | |
City | Denver | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 110$ | 65$ | 40$ | 30$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
40 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
51,163,348$ | 51,163,348$ | 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$ | 82,304,416$ | 82,304,416$ |
Name | Condition | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | ||||||||||||||||||||||
100% | 24 yrs | LW | 81 | 50 | 70 | 88 | 99 | 74 | 90 | 99 | 69 | 96 | 75 | 44 | 42 | 91 | 83 | 54 | 82 | 4 | $2,900,000 | |
100% | 31 yrs | LW | 82 | 61 | 89 | 82 | 53 | 92 | 73 | 74 | 95 | 86 | 88 | 82 | 79 | 37 | 73 | 26 | 81 | 1 | $2,675,000 | |
100% | 21 yrs | LW | 83 | 27 | 71 | 84 | 74 | 71 | 58 | 79 | 73 | 94 | 92 | 81 | 58 | 32 | 41 | 68 | 79 | 4 | $3,295,000 | |
100% | 24 yrs | LW | 72 | 46 | 94 | 80 | 99 | 98 | 88 | 91 | 59 | 40 | 78 | 76 | 64 | 61 | 70 | 57 | 78 | 3 | $1,850,000 | |
100% | 20 yrs | LW | 51 | 39 | 70 | 97 | 89 | 97 | 81 | 90 | 65 | 49 | 40 | 99 | 92 | 80 | 53 | 70 | 76 | 3 | $800,000 | |
100% | 29 yrs | LW | 44 | 65 | 96 | 79 | 76 | 76 | 71 | 93 | 50 | 85 | 52 | 80 | 79 | 59 | 39 | 33 | 75 | 3 | $1,000,000 | |
100% | 21 yrs | LW | 92 | 48 | 76 | 81 | 58 | 82 | 59 | 87 | 86 | 75 | 48 | 95 | 32 | 70 | 34 | 71 | 75 | 1 | $1,000,000 | |
100% | 35 yrs | LW | 88 | 64 | 86 | 80 | 64 | 85 | 61 | 84 | 70 | 49 | 77 | 80 | 69 | 85 | 54 | 1 | 73 | 1 | $1,900,000 | |
![]() | 100% | 27 yrs | LW | 40 | 41 | 64 | 75 | 80 | 87 | 51 | 81 | 92 | 84 | 60 | 52 | 95 | 35 | 38 | 40 | 71 | 1 | $1,028,000 |
Center | ||||||||||||||||||||||
100% | 32 yrs | C | 93 | 39 | 71 | 97 | 81 | 76 | 63 | 82 | 95 | 90 | 99 | 82 | 44 | 35 | 78 | 21 | 84 | 1 | $3,938,858 | |
100% | 23 yrs | C | 52 | 31 | 59 | 88 | 78 | 66 | 92 | 91 | 86 | 88 | 80 | 99 | 28 | 54 | 37 | 54 | 82 | 4 | $2,850,000 | |
100% | 34 yrs | C | 49 | 44 | 70 | 65 | 95 | 88 | 61 | 89 | 95 | 81 | 57 | 91 | 79 | 40 | 39 | 4 | 77 | 1 | $719,000 | |
100% | 21 yrs | C | 40 | 28 | 59 | 96 | 99 | 76 | 68 | 86 | 99 | 47 | 98 | 74 | 79 | 66 | 33 | 76 | 77 | 5 | $2,550,000 | |
100% | 30 yrs | C | 61 | 44 | 63 | 63 | 62 | 99 | 90 | 94 | 79 | 67 | 90 | 55 | 62 | 83 | 53 | 27 | 76 | 2 | $1,600,000 | |
100% | 33 yrs | C | 53 | 59 | 90 | 82 | 79 | 80 | 82 | 87 | 87 | 55 | 53 | 96 | 97 | 60 | 56 | 16 | 76 | 1 | $700,000 | |
100% | 30 yrs | C | 63 | 61 | 71 | 64 | 81 | 92 | 89 | 91 | 99 | 51 | 90 | 58 | 42 | 55 | 96 | 28 | 76 | 3 | $1,000,000 | |
Right Wing | ||||||||||||||||||||||
100% | 30 yrs | RW | 77 | 44 | 81 | 74 | 99 | 92 | 85 | 91 | 92 | 99 | 92 | 48 | 94 | 76 | 52 | 30 | 85 | 1 | $1,928,000 | |
![]() | 100% | 32 yrs | RW | 41 | 63 | 91 | 75 | 93 | 79 | 64 | 76 | 80 | 87 | 99 | 99 | 45 | 55 | 36 | 15 | 82 | 2 | $3,900,000 |
100% | 33 yrs | RW | 59 | 39 | 95 | 83 | 58 | 72 | 63 | 64 | 83 | 94 | 96 | 74 | 54 | 42 | 34 | 10 | 77 | 2 | $1,999,990 | |
100% | 28 yrs | RW | 38 | 42 | 97 | 59 | 74 | 83 | 79 | 98 | 54 | 91 | 85 | 44 | 60 | 86 | 41 | 37 | 75 | 2 | $2,350,000 | |
100% | 23 yrs | RW | 68 | 47 | 53 | 72 | 91 | 97 | 84 | 85 | 87 | 60 | 75 | 48 | 65 | 28 | 30 | 68 | 75 | 1 | $800,000 | |
100% | 28 yrs | RW | 94 | 44 | 68 | 87 | 76 | 77 | 62 | 94 | 95 | 42 | 54 | 93 | 52 | 76 | 49 | 35 | 73 | 2 | $1,450,000 | |
100% | 30 yrs | RW | 37 | 38 | 83 | 83 | 82 | 93 | 75 | 93 | 52 | 60 | 65 | 57 | 80 | 84 | 80 | 20 | 72 | 1 | $1,024,000 | |
![]() | 100% | 23 yrs | RW | 33 | 56 | 62 | 65 | 61 | 82 | 55 | 70 | 78 | 79 | 89 | 80 | 56 | 89 | 91 | 56 | 71 | 0 | $0 |
Defense | ||||||||||||||||||||||
100% | 27 yrs | D | 62 | 58 | 75 | 75 | 99 | 99 | 60 | 86 | 25 | 92 | 73 | 99 | 38 | 53 | 61 | 44 | 83 | 1 | $1,572,000 | |
100% | 32 yrs | D | 98 | 53 | 99 | 76 | 77 | 97 | 98 | 98 | 25 | 42 | 62 | 94 | 80 | 78 | 92 | 15 | 82 | 2 | $2,500,000 | |
100% | 30 yrs | D | 51 | 55 | 77 | 93 | 77 | 99 | 89 | 69 | 25 | 54 | 62 | 99 | 71 | 54 | 64 | 19 | 78 | 3 | $2,300,000 | |
100% | 23 yrs | D | 99 | 36 | 63 | 80 | 81 | 83 | 94 | 81 | 25 | 38 | 72 | 89 | 87 | 38 | 74 | 62 | 78 | 1 | $900,000 | |
100% | 21 yrs | D | 54 | 73 | 73 | 80 | 89 | 74 | 77 | 80 | 61 | 82 | 87 | 63 | 73 | 60 | 83 | 72 | 78 | 3 | $1,000,000 | |
100% | 21 yrs | D | 68 | 60 | 81 | 68 | 98 | 99 | 78 | 75 | 25 | 51 | 64 | 78 | 38 | 37 | 80 | 65 | 77 | 1 | $800,000 | |
![]() | 100% | 27 yrs | D | 83 | 67 | 83 | 64 | 87 | 60 | 65 | 75 | 25 | 83 | 73 | 81 | 84 | 78 | 77 | 40 | 76 | 4 | $1,900,000 |
100% | 28 yrs | D | 63 | 36 | 98 | 68 | 75 | 70 | 79 | 73 | 25 | 80 | 69 | 99 | 82 | 79 | 99 | 43 | 76 | 1 | $2,100,000 | |
100% | 24 yrs | D | 94 | 30 | 77 | 98 | 77 | 75 | 66 | 96 | 25 | 41 | 75 | 91 | 85 | 30 | 83 | 59 | 76 | 5 | $2,200,000 | |
![]() | 100% | 34 yrs | D | 95 | 46 | 62 | 64 | 94 | 58 | 76 | 90 | 25 | 53 | 63 | 89 | 71 | 44 | 54 | 4 | 75 | 1 | $1,850,000 |
100% | 25 yrs | D | 71 | 37 | 77 | 91 | 64 | 67 | 94 | 95 | 25 | 49 | 54 | 84 | 62 | 41 | 51 | 48 | 73 | 2 | $1,513,000 | |
100% | 21 yrs | D | 84 | 27 | 56 | 95 | 75 | 82 | 64 | 89 | 25 | 41 | 48 | 89 | 81 | 44 | 69 | 79 | 72 | 3 | $1,000,000 | |
100% | 28 yrs | D | 39 | 39 | 79 | 70 | 93 | 74 | 73 | 74 | 25 | 51 | 47 | 91 | 65 | 76 | 77 | 39 | 70 | 3 | $1,050,000 | |
100% | 23 yrs | D | 47 | 51 | 69 | 95 | 66 | 94 | 55 | 83 | 25 | 69 | 62 | 74 | 37 | 73 | 58 | 60 | 70 | 0 | $0 | |
100% | 21 yrs | D | 36 | 39 | 54 | 81 | 72 | 78 | 96 | 63 | 25 | 61 | 39 | 87 | 41 | 56 | 27 | 75 | 69 | 3 | $900,000 | |
100% | 24 yrs | D | 68 | 46 | 79 | 77 | 50 | 53 | 89 | 83 | 25 | 60 | 50 | 79 | 45 | 92 | 72 | 52 | 67 | 1 | $700,000 |
Name | Condition | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | |||||||||||||||||||||
100% | 28 yrs | G | 87 | 61 | 53 | 65 | 85 | 90 | 99 | 91 | 84 | 90 | 83 | 90 | 88 | 42 | 50 | 80 | 1 | $1,672,500 | |
100% | 22 yrs | G | 90 | 65 | 67 | 92 | 87 | 92 | 63 | 80 | 88 | 64 | 92 | 74 | 57 | 67 | 50 | 79 | 5 | $2,550,000 | |
![]() | 100% | 34 yrs | G | 93 | 66 | 87 | 68 | 75 | 51 | 80 | 80 | 73 | 88 | 77 | 46 | 93 | 9 | 50 | 76 | 2 | $1,525,775 |
100% | 22 yrs | G | 83 | 92 | 76 | 85 | 74 | 55 | 72 | 89 | 74 | 60 | 85 | 83 | 56 | 72 | 50 | 76 | 2 | $900,000 | |
![]() | 100% | 21 yrs | G | 60 | 97 | 55 | 80 | 85 | 80 | 83 | 52 | 79 | 63 | 51 | 74 | 80 | 72 | 50 | 73 | 2 | $900,000 |
![]() | 100% | 21 yrs | G | 74 | 60 | 78 | 91 | 68 | 47 | 68 | 78 | 78 | 72 | 66 | 50 | 47 | 72 | 50 | 71 | 3 | $800,000 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
5 | ![]() | ![]() | ![]() | ||
6 | ![]() | ![]() | ![]() | ![]() | |
7 | ![]() ![]() | ![]() | ![]() ![]() | ![]() | |
8 | ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() | |
9 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Draft Info | Current Junior Stats |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Christian Moller | 18 | LW | 78 | 65 | 73 | 69 | 65 | 81 | 81 | 76 | 69 | 57 | 69 | 76 | 57 | 52 | 72 | 76 | 71 | Year: Round: Pick: | GP: 0 G: 0 A:0 Pts: 0 |
Richard Kresanek![]() |
20 | D | 75 | 65 | 64 | 62 | 71 | 79 | 64 | 81 | 81 | 63 | 84 | 81 | 66 | 83 | 77 | 73 | 72 | Year: Round: Pick: | GP: 0 G: 0 A:0 Pts: 0 |
The book has closed on yet another season for the Denver Bandits. Through 4 seasons, let's look at some numbers. The Bandits rank in the following regular season metrics:
Tied 6th in wins
9th in points
8th in goal differential
8th in goals scored
8th in shots for
6th in shots against
6th in PK%
Despite being a top 10 team in all of these categories, the franchise has a combined 3 playoff wins in 4 seasons, only making the playoffs in 2 of the 4 seasons.
So the question remains, where does it go wrong?
The team's core 4 has been together since the league's inauguration: Quinton Parsons, Nino Hebar, Vladilen Kanareikin, and Lukasz Pomfret.
Hebar is 21st all time in points, Kanareikin 29th (both closing in on 300 career points). Parsons ranks 80th, while Pomfret is tied 17th among defencemen.
So does that imply a lack of supporting cast? The first two seasons saw disappointing results, missing the playoffs in consecutive year, though only missing by 1 point in season 2. It's hard to point to a lack of depth when a new league starts and each team starts from scratch, but you can blame it to quality depth. As the years moved on, the Bandits came out swinging in season 3, finishing 2nd in the league in wins and points, first in goals scored, and 8th in goals against. Acquiring picks throughout the first two years, and using them as trade chips to build an offensive powerhouse and the ability to roll all 4 lines in season 3. What did that lead to? A 5 game series loss in their first ever playoff series, where the stars disappeared and all chemistry went out of the window.
With players hitting new career highs, and the roster staying almost the exact same, hopes were at an all time high in season 4. What happened next came completely out of nowhere. After a scorching start to the year, leading the division and filling the back of the net, the season completely flipped upside down. Falling well out of a playoff spot, selling some pending UFAs, and trading star forward Kenneth Pehrson led to a deadline that the GM hadn't envisioned. Players having career worst years, and trying to slowly work back into a playoff spot left management puzzled. The team happened to catch fire after the trade deadline, and managed to squeak into the playoffs, where they lost in 6 games.
The core three forwards produced their lowest goals and points total to date, whereas defenceman Lukasz Pomfret had a career best in assists and points. Looking at the supporting cast, Tom Folke and Vallu Vaatainen had their worst years, and Dominick Maclellan had his 2nd worst year.
This lead to management relying more on their rookies who were given full time roles, in Cade Calkins, David Manno, and Wiktor Ehn. Calkins was steady all year, Manno struggled greatly for the first half of the season before turning it around, and Ehn had his worst year yet.
So where do they go from here?
The Bandits have the following player under the age of 25 on their roster:
Lloyd Mceachern
David Manno
Jory Doucette
Evin Lapointe
Dominick Maclellan
Cade Calkins
Abram Nalyvaichuk
Dennis Kochetkov
Wiktor Ehn
Vladimir Opochinin
Shaun Dorais
With more prospects coming up in the near future.
With the core 4 all entering their final season until free agency, the decisions loom large. Do they shake it off as an outlier? Thinking that there's no way the core has another down year? Or do they rebuild for the future and build around their youth? The one thing that can be promised, is that management is going to be very active and will be spending hours upon hours doing their research this offseason, while the pressure and impending financial decisions loom over them.
Season | Team | GP | W | L | OTW | OWL | SOW | SOL | Pts | GF | GA | Diff | SHF | SHA | SHB | Pim | Hits | PP% | PK% |
1 | Bandits | 80 | 31 | 35 | 6 | 6 | 2 | 0 | 84 | 259 | 265 | -6 | 2883 | 2844 | 944 | 512 | 1794 | 17.33% | 82.17% |
2 | Bandits | 80 | 34 | 29 | 3 | 4 | 4 | 6 | 92 | 276 | 269 | 7 | 2950 | 2783 | 963 | 502 | 1754 | 15.6% | 80.81% |
3 | Bandits | 80 | 39 | 25 | 4 | 2 | 8 | 2 | 106 | 305 | 249 | 56 | 2988 | 2864 | 951 | 514 | 1681 | 23.18% | 85.25% |
4 | Bandits | 80 | 35 | 31 | 6 | 3 | 3 | 2 | 93 | 266 | 252 | 14 | 2820 | 2794 | 977 | 432 | 1673 | 20% | 82.39% |
Playoffs | |||||||||||||||||||
3 | Bandits | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 2 | 15 | 19 | -4 | 198 | 157 | 51 | 30 | 87 | 26.67% | 50% |