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WranglersCalgary
Wranglers
48-24-10, 106pts · 2nd in OUEST
Roster
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Dillon Dube (C)19C/LW100.0066348371708285687067726368646505072242,428,667$/3yrs
Cody Glass8C100.0072408867858790657867636472636805072241,293,729$/2yrs
Jonny Brodzinski (A)76C100.006738816680857964756567686469730507129917,667$/3yrs
Maxim Mamin98C100.007339916782797566706567656867690507128925,000$/1yrs
Nathan Gerbe24C/LW/RW100.007936806761798066696763596584780507035975,000$/1yrs
Brett Ritchie26RW100.008778756190768062596163586271690507029892,000$/2yrs
Wade Allison57RW100.007838826281857264616366586365670506925902,500$/3yrs
Fredrik Karlstrom18C100.006838926382768866726558615964660506925772,500$/2yrs
Jakob Pelletier49LW100.006236806963858468586766616862630506922863,334$/3yrs
Justin Danforth17RW100.006635866764818265716368666369700506930941,667$/3yrs
Matthew Phillips12C100.005734936660898465736362566564660506725952,000$/2yrs
Eetu Tuulola52RW100.007671785785768756595558615764660506625831,000$/1yrs
Nikolai Knyzhov71D100.008138786584807764306758695065660507125856,000$/2yrs
Steven Kampfer20D100.007735946472787362307061735282730507134850,000$/2yrs
Braden Schneider4D100.0071398667818390663065596453636505070211,325,000$/3yrs
Anthony Bitetto (A)22D100.007239776181797662306661635372740506932825,000$/2yrs
Ben Thomas44D100.005635956475807562306156635069650506626750,000$/1yrs
Tobias Geisser43D100.007837915685789356305553584563650506624837,778$/1yrs
Scratches
Cole Schneider25LW100.0066389362808593635564655964727705070321,031,000$/1yrs
John Hayden15C100.007981625988768158675759665468700506828931,000$/2yrs
Walker Duehr72RW100.006939855982798258615958605765670506725913,750$/2yrs
Joseph Gambardella16C100.006138865970748758665957565869710506529750,000$/2yrs
Damien Riat9C/LW/RW100.006139875771798456585554535667640506326925,000$/1yrs
Emilio Pettersen46LW100.005737915866768657615859545862640506323925,000$/3yrs
Maxim Cajkovic27RW100.006036945569756554585556535561630506122925,000$/3yrs
Connor Mackey3D100.0068346165818083643067656253666805070261,056,250$/2yrs
Philip Kemp23D100.007134895384617852305352564563650506224893,834$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Maxime Lagace33100.00757476787473757473757470830507730992,500$/2yrs
Joel Hofer30100.00747574857372747372747362670507522842,916$/4yrs
Scratches
Dylan Ferguson34100.00736768757271737271737264710507324828,500$/2yrs
Arvid Soderblom40100.007277767971707271707271636905073231,212,500$/2yrs
Jet Greaves73100.00717475727069717069717061650507222938,889$/3yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mitch Love70717465575488CAN3750$
General Manager
Player Stats
Filter Tips
PriorityTypeDescription
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
10textAny 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 MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Dillon DubeWranglersWranglers (CAL)C/LW7243479010180593759423611.47%1318.17151429000407551.54%021.25141.38
2Steven KampferWranglersWranglers (CAL)D78185573-114401041726411610.47%13522.3091423000217510.00%100.94000.79
3Justin DanforthWranglersWranglers (CAL)RW6524477122235522286818610.53%1216.8146100111052143.37%001.09001.15
4Nathan GerbeWranglersWranglers (CAL)C/LW/RW75254469141801441925314613.02%1116.9661824000284150.24%010.92000.92
5Jakob PelletierWranglersWranglers (CAL)LW78293665980592508420411.60%1116.275111600004141.05%000.83130.92
6Cody GlassWranglersWranglers (CAL)C81224163112810851996716811.06%2316.271670001054053.46%010.78240.77
7Anthony BitettoWranglersWranglers (CAL)D7912465824840201109418011.01%10420.4851318000180200.00%000.73000.66
8Braden SchneiderWranglersWranglers (CAL)D82164157718083179501138.94%11322.1191423011242100.00%000.70000.74
9Wade AllisonWranglersWranglers (CAL)RW82212849-15201711956314410.77%615.995121700006247.62%000.60000.58
10Jonny BrodzinskiWranglersWranglers (CAL)C82222345316064242651519.09%2415.742570002515051.47%000.55020.64
11Maxim MaminWranglersWranglers (CAL)C68212445-618079237751848.86%1315.916915000551051.37%000.66010.73
12Nikolai KnyzhovWranglersWranglers (CAL)D8293443139002159334539.68%12319.76112000210120.00%000.52000.44
13Ben ThomasWranglersWranglers (CAL)D713313413160217427644.05%6618.1024600096000.00%000.48000.48
14Matthew PhillipsWranglersWranglers (CAL)C66151530-720241434511010.49%815.11571200040143.60%000.45000.48
15Connor MackeyWranglersWranglers (CAL)D3632326-12340797227514.17%3918.83291100021000.00%000.72000.49
16Fredrik KarlstromWranglersWranglers (CAL)C82101525-1201711529848.70%710.770001012090250.46%000.30000.32
17John HaydenWranglersWranglers (CAL)C7091322-346011711225688.04%1812.291010001931046.15%100.31000.27
18Brett RitchieWranglersWranglers (CAL)RW711010203451514610637739.43%611.5213400073162.12%000.28000.29
19Cole SchneiderWranglersWranglers (CAL)LW3131013240285015416.00%112.4903300020045.45%000.42000.46
20Eetu TuulolaWranglersWranglers (CAL)RW52731011604153142913.21%28.39000000230147.50%000.19000.20
21Tobias GeisserWranglersWranglers (CAL)D454596500802171119.05%3217.0200000050000.00%000.20000.11
22Philip KempWranglersWranglers (CAL)D18167514023102310.00%1115.860000000000.00%000.39000.32
23Emilio PettersenWranglersWranglers (CAL)LW700010005130.00%06.7000000000075.00%000.00000.12
24Walker DuehrWranglersWranglers (CAL)RW4000220710220.00%114.4500000000050.00%000.00000.36
Team Total or Average14773275979241056483018993242989232010.09%77916.417914922824511232046461850.82%784000240.76414
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joel HoferWranglersWranglers (CAL)58331580.9083.1234408017919370120.583125527325
2Maxime LagaceWranglersWranglers (CAL)2112800.8863.95113800756560101.00031940020
3Arvid SoderblomWranglersWranglers (CAL)83120.8544.7938800312130000.0000815001
Team Total or Average874824100.8983.4449678028528060220.667158282346
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Anthony Bitetto D32825,000$900,000$ 750,000$ UFA
Arvid Soderblom G231,212,500$1,500,000$ 925,000$ RFA
Ben Thomas D26750,000$750,000$ UFA
Braden Schneider D211,325,000$1,325,000$ 1,325,000$ 1,325,000$ RFA
Brett Ritchie RW29892,000$1,034,000$ 750,000$ UFA
Cody Glass C241,293,729$1,713,333$ 874,125$ RFA
Cole Schneider LW321,031,000$1,031,000$ UFA
Connor Mackey D261,056,250$1,200,000$ 912,500$ UFA
Damien Riat C/LW/RW26925,000$925,000$ UFA
Dillon Dube C/LW242,428,667$2,686,000$ 2,300,000$ 2,300,000$ UFA
Dylan Ferguson G24828,500$907,000$ 750,000$ RFA
Eetu Tuulola RW25831,000$831,000$ RFA
Emilio Pettersen LW23925,000$925,000$ 925,000$ 925,000$ RFA
Fredrik Karlstrom C25772,500$795,000$ 750,000$ UFA
Jakob Pelletier LW22863,334$863,333$ 863,334$ 863,334$ RFA
Jet Greaves G22938,889$1,300,000$ 758,333$ 758,333$ RFA
Joel Hofer G22842,916$910,833$ 910,833$ 775,000$ 775,000$ RFA
John Hayden C28931,000$1,112,000$ 750,000$ UFA
Jonny Brodzinski C29917,667$1,228,000$ 762,500$ 762,500$ UFA
Joseph Gambardella C29750,000$750,000$ 750,000$ UFA
Justin Danforth RW30941,667$875,000$ 975,000$ 975,000$ UFA
Matthew Phillips C25952,000$1,154,000$ 750,000$ UFA
Maxim Cajkovic RW22925,000$925,000$ 925,000$ 925,000$ RFA
Maxim Mamin C28925,000$925,000$ UFA
Maxime Lagace G30992,500$1,235,000$ 750,000$ UFA
Nathan Gerbe C/LW/RW35975,000$975,000$ UFA
Nikolai Knyzhov D25856,000$862,000$ 850,000$ UFA
Philip Kemp D24893,834$1,021,000$ 766,667$ RFA
Steven Kampfer D34850,000$950,000$ 750,000$ UFA
Tobias Geisser D24837,778$837,778$ RFA
Wade Allison RW25902,500$1,137,500$ 785,000$ 785,000$ UFA
Walker Duehr RW25913,750$1,000,000$ 827,500$ UFA

Lines
Forward Lines


# - Jakob Pelletier


# - Nathan Gerbe


# - Justin Danforth


# - Dillon Dube


# - Cody Glass


# - Brett Ritchie


# - Wade Allison


# - Maxim Mamin


# - Matthew Phillips


# - Jonny Brodzinski


# - Fredrik Karlstrom


# - Eetu Tuulola

Defensive Pairings


# - Nikolai Knyzhov


# - Steven Kampfer


# - Tobias Geisser


# - Braden Schneider


# - Anthony Bitetto


# - Ben Thomas

1st Power Play Unit


# - Jakob Pelletier


# - Nathan Gerbe


# - Dillon Dube


# - Braden Schneider


# - Steven Kampfer

2nd Power Play Unit


# - Wade Allison


# - Maxim Mamin


# - Matthew Phillips


# - Anthony Bitetto


# - Justin Danforth

Goalies


# - Maxime Lagace


# - Joel Hofer

Team Stats
Filter Tips
PriorityTypeDescription
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
10textAny 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
1WranglersCheckers1000010023-110.50024600116112949381061104710905237101018200.00%50100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153740.0%5.3%91.9%97.2DULL
2WranglersMarlies1000010034-110.5003690011611294938106110471090524191618400.00%7271.43%01670325651.29%1584306351.71%727143550.66%202114021889611106153760.0%7.9%90.2%98.1Unlucky
3WranglersAmericans1010000024-200.000246001161129494110611047109052367826600.00%4175.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153740.0%4.9%88.9%93.8Unlucky
4WranglersBinghamton Senateurs1010000035-200.0003690011611294950106110471090522966277114.29%30100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153728.6%6.0%82.8%88.8Unlucky
5WranglersBears1010000012-100.0001230011611294926106110471090523781016300.00%5180.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153750.0%3.8%94.6%98.4DULL
6WranglersRockets20200000513-800.0005914101161129495810611047109052682027483133.33%10280.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153726.7%8.6%80.9%89.5Unlucky
7WranglersProvidence Bruins1010000035-200.0003581011611294931106110471090524064284250.00%20100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153716.7%9.7%87.5%97.2FUN
8WranglersWolves1010000036-300.00036900116112949391061104710905232104194125.00%20100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153725.0%7.7%81.3%88.9Unlucky
9WranglersEagles20100100913-410.2509172600116112949921061104710905288198398112.50%4175.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153740.0%9.8%85.2%95.0FUN
10WranglersPhantoms2110000076120.5007132000116112949861061104710905280311649300.00%8275.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153763.6%8.1%92.5%100.6DULL
11WranglersWolf Pack1100000042221.000481200116112949521061104710905234610225120.00%50100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153760.0%7.7%94.1%101.8DULL
12Wranglersislanders1100000064221.00061218001161129494010611047109052366122533100.00%6266.67%01670325651.29%1584306351.71%727143550.66%202114021889611106153760.0%15.0%88.9%103.9FUN
13WranglersIceHogs20200000511-600.00051015001161129497110611047109052963416562150.00%8187.50%01670325651.29%1584306351.71%727143550.66%202114021889611106153728.6%7.0%88.5%95.6Unlucky
14WranglersGriffins1100000054121.00059140011611294955106110471090523394224125.00%2150.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153757.1%9.1%87.9%97.0FUN
15WranglersMonsters1010000035-200.000336001161129492710611047109052451810204125.00%5180.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153733.3%11.1%88.9%100.0FUN
16WranglersBarracuda642000002417780.6672440640011611294924410611047109052194643812520525.00%18477.78%01670325651.29%1584306351.71%727143550.66%202114021889611106153759.4%9.8%91.2%101.1LUCKY
17WranglersCondors631001011917280.6671937560011611294921710611047109052174514213618316.67%21290.48%01670325651.29%1584306351.71%727143550.66%202114021889611106153751.6%8.8%90.2%99.0Unlucky
18WranglersIowa Wild2200000072541.00071320001161129498810611047109052541318557342.86%90100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153766.7%8.0%96.3%104.3DULL
19WranglersReign611021102220290.7502239610011611294926010611047109052190484513928414.29%17476.47%01670325651.29%1584306351.71%727143550.66%202114021889611106153752.9%8.5%89.5%97.9Unlucky
20WranglersThunderbirds2020000059-400.0005101500116112949541061104710905267281652400.00%8187.50%01670325651.29%1584306351.71%727143550.66%202114021889611106153738.5%9.3%86.6%95.8FUN
21WranglersGulls631001012622480.6672646720011611294921610611047109052226674213818844.44%20670.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153752.9%12.0%90.3%102.3FUN
22WranglersTexas Stars2200000095441.000918270011611294970106110471090526722205710330.00%9277.78%11670325651.29%1584306351.71%727143550.66%202114021889611106153766.7%12.9%92.5%105.4LUCKY
23WranglersCanucks6410100024204100.8332442660011611294925510611047109052201454213924625.00%21671.43%01670325651.29%1584306351.71%727143550.66%202114021889611106153756.3%9.4%90.0%99.5FUN
24WranglersComets21100000911-220.50091726001161129491021061104710905254921401200.00%8187.50%01670325651.29%1584306351.71%727143550.66%202114021889611106153747.4%8.8%79.6%88.5Unlucky
25WranglersW-B/Scranton Penguins1100000053221.000571200116112949461061104710905228912202150.00%50100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153757.1%10.9%89.3%100.2FUN
26WranglersRoadrunners320010001810861.0001831490011611294911110611047109052952331569444.44%12558.33%01670325651.29%1584306351.71%727143550.66%202114021889611106153773.7%16.2%89.5%105.7FUN
27WranglersCrunch1010000023-100.0002460011611294935106110471090523096274125.00%20100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153725.0%5.7%90.0%95.7Unlucky
28WranglersAdmirals2100001085341.00081220001161129497110611047109052732416469333.33%80100.00%01670325651.29%1584306351.71%727143550.66%202114021889611106153750.0%11.3%93.2%104.4LUCKY
29WranglersMoose2200000083541.00081624001161129499210611047109052642014417228.57%7271.43%01670325651.29%1584306351.71%727143550.66%202114021889611106153785.7%8.7%95.3%104.0DULL
30WranglersSilver Knights96101001503515150.833509314300116112949355106110471090523038280217431534.88%34876.47%01670325651.29%1584306351.71%727143550.66%202114021889611106153756.5%14.1%88.4%102.5FUN
31WranglersFirebirds75100100322111110.7863258900011611294927610611047109052256695216825832.00%24483.33%01670325651.29%1584306351.71%727143550.66%202114021889611106153758.5%11.6%91.8%103.4LUCKY
_Vs Division462680441319715245690.75019735555200116112949182310611047109052154442634110621764927.84%1553478.06%01670325651.29%1584306351.71%727143550.66%202114021889611106153755.6%10.8%90.2%101.0FUN
_Vs Conference6335130552326621056920.73026648274800116112949247210611047109052214860948014642326628.45%2204679.09%11670325651.29%1584306351.71%727143550.66%202114021889611106153754.9%10.8%90.2%101.0FUN
_Since Last GM Reset82412405723329290391060.64632959792620116112949323610611047109052280878265618893027926.16%2995980.27%11670325651.29%1584306351.71%727143550.66%202114021889611106153752.0%10.2%89.7%99.8FUN
Total82412405723329290391060.64632959792620116112949323610611047109052280878265618893027926.16%2995980.27%11670325651.29%1584306351.71%727143550.66%202114021889611106153752.0%10.2%89.7%99.8FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 3256
Neutral Zone Start 1435
Defensive Zone Start 3063
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 3981
Faceoffs Lost 3773
Team Average Shots after League Average Shots after
1st Period 12.99.57
2nd Period 25.720.31
3rd Period 39.030.68
Overtime 39.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.40.64
2nd Period 2.81.65
3rd Period 3.92.67
Overtime 4.02.83
Even Strenght Goal 247
PP Goal 79
PK Goal 1
Empty Net Goal 2
Home Away
Win 2523
Lost 1113
Overtime Lost 55
PP Attempt 302
PP Goal 79
PK Attempt 299
PK Goal Against 59
Home
Shots For 39.5
Shots Against 34.2
Goals For 4.0
Goals Against 3.5
Hits 23.0
Shots Blocked 9.5
Pim 8.0
Schedule
DateMatchup Result Detail
Mon, Oct 17WranglersHEN@WranglersWRAHEN5,WRA4 (SO)RECAP
Thu, Oct 20WranglersWRA@WranglersHENWRA6,HEN4RECAP
Fri, Oct 21WranglersWRA@WranglersBAKWRA3,BAK4 (SO)RECAP
Mon, Oct 24WranglersFCV@WranglersWRAFCV2,WRA4RECAP
Wed, Oct 26WranglersWRA@WranglersFCVWRA5,FCV3RECAP
Thu, Oct 27WranglersONT@WranglersWRAONT1,WRA3RECAP
Sat, Oct 29WranglersWRA@WranglersHENWRA4,HEN3RECAP
Tue, Nov 1WranglersWRA@WranglersSJBWRA7,SJB5RECAP
Fri, Nov 4WranglersHEN@WranglersWRAHEN3,WRA8RECAP
Sun, Nov 6WranglersWRA@WranglersONTWRA4,ONT5 (OT)RECAP
Tue, Nov 8WranglersSJB@WranglersWRASJB1,WRA4RECAP
Wed, Nov 9WranglersWRA@WranglersABBWRA3,ABB2 (OT)RECAP
Sun, Nov 13WranglersABB@WranglersWRAABB2,WRA4RECAP
Mon, Nov 14WranglersWRA@WranglersSDGWRA4,SDG5 (OT)RECAP
Fri, Nov 18WranglersBAK@WranglersWRABAK2,WRA4RECAP
Mon, Nov 21WranglersWRA@WranglersHENWRA7,HEN6 (OT)RECAP
Tue, Nov 22WranglersSDG@WranglersWRASDG6,WRA5 (SO)RECAP
Thu, Nov 24WranglersEAG@WranglersWRAEAG7,WRA6 (OT)RECAP
Mon, Nov 28WranglersWRA@WranglersTEXWRA5,TEX2RECAP
Wed, Nov 30WranglersWRA@WranglersFCVWRA3,FCV4 (OT)RECAP
Fri, Dec 2WranglersHEN@WranglersWRAHEN3,WRA6RECAP
Sun, Dec 4WranglersBAK@WranglersWRABAK2,WRA1RECAP
Mon, Dec 5WranglersWRA@WranglersHENWRA5,HEN4RECAP
Wed, Dec 7WranglersWBS@WranglersWRAWBS3,WRA5RECAP
Tue, Dec 13WranglersWRA@WranglersMANWRA5,MAN1RECAP
Wed, Dec 14WranglersLEV@WranglersWRALEV4,WRA1RECAP
Sat, Dec 17WranglersFCV@WranglersWRAFCV2,WRA7RECAP
Mon, Dec 19WranglersWRA@WranglersHERWRA1,HER2RECAP
Tue, Dec 20WranglersWRA@WranglersTUCWRA4,TUC3 (OT)RECAP
Thu, Dec 22WranglersHAR@WranglersWRAHAR2,WRA4RECAP
Wed, Dec 28WranglersBNG@WranglersWRABNG5,WRA3RECAP
Sat, Dec 31WranglersIOW@WranglersWRAIOW1,WRA4RECAP
Mon, Jan 2WranglersWRA@WranglersSPRWRA2,SPR5RECAP
Wed, Jan 4WranglersWRA@WranglersABBWRA3,ABB1RECAP
Sat, Jan 7WranglersCHA@WranglersWRACHA3,WRA2 (OT)RECAP
Mon, Jan 9WranglersWRA@WranglersABBWRA4,ABB3RECAP
Wed, Jan 11WranglersHEN@WranglersWRAHEN2,WRA6RECAP
Fri, Jan 13WranglersWRA@WranglersEAGWRA3,EAG6RECAP
Sun, Jan 15WranglersWRA@WranglersSYRWRA2,SYR3RECAP
Mon, Jan 16WranglersBAK@WranglersWRABAK4,WRA3 (OT)RECAP
Wed, Jan 18WranglersLEV@WranglersWRALEV2,WRA6RECAP
Fri, Jan 20WranglersWRA@WranglersBRIWRA6,BRI4RECAP
Sun, Jan 22WranglersWRA@WranglersBAKWRA2,BAK1RECAP
Tue, Jan 24WranglersWRA@WranglersHENWRA4,HEN5RECAP
Wed, Jan 25WranglersFCV@WranglersWRAFCV3,WRA4RECAP
Fri, Jan 27WranglersWRA@WranglersTUCWRA9,TUC5RECAP
Sat, Jan 28WranglersSPR@WranglersWRASPR4,WRA3RECAP
Mon, Jan 30WranglersWRA@WranglersROCWRA2,ROC4RECAP
Wed, Feb 1WranglersMIL@WranglersWRAMIL3,WRA5RECAP
Sat, Feb 4WranglersONT@WranglersWRAONT4,WRA2RECAP
Tue, Feb 7WranglersWRA@WranglersBAKWRA6,BAK4RECAP
Wed, Feb 8WranglersPRO@WranglersWRAPRO5,WRA3RECAP
Mon, Feb 13WranglersWRA@WranglersCLEWRA3,CLE5RECAP
Tue, Feb 14WranglersSJB@WranglersWRASJB5,WRA4RECAP
Sun, Feb 19WranglersTEX@WranglersWRATEX3,WRA4RECAP
Tue, Feb 21WranglersWRA@WranglersFCVWRA3,FCV4RECAP
Wed, Feb 22WranglersWRA@WranglersSJBWRA3,SJB2RECAP
Thu, Feb 23WranglersONT@WranglersWRAONT3,WRA4 (SO)RECAP
Sat, Feb 25WranglersWRA@WranglersMILWRA3,MIL2 (SO)RECAP
Mon, Feb 27WranglersABB@WranglersWRAABB4,WRA6RECAP
Wed, Mar 1WranglersWRA@WranglersLVLWRA3,LVL5RECAP
Fri, Mar 3WranglersFCV@WranglersWRAFCV3,WRA6RECAP
Sat, Mar 4WranglersWRA@WranglersLVLWRA2,LVL8RECAP
Thu, Mar 9WranglersSJB@WranglersWRASJB1,WRA5RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Sat, Mar 11WranglersWRA@WranglersSJBWRA1,SJB3RECAP
Sun, Mar 12WranglersWRA@WranglersGRGWRA5,GRG4RECAP
Tue, Mar 14WranglersTUC@WranglersWRATUC2,WRA5RECAP
Thu, Mar 16WranglersWRA@WranglersRFDWRA3,RFD7RECAP
Fri, Mar 17WranglersABB@WranglersWRAABB8,WRA4RECAP
Sun, Mar 19WranglersWRA@WranglersMARWRA3,MAR4 (OT)RECAP
Wed, Mar 22WranglersWRA@WranglersIOWWRA3,IOW1RECAP
Thu, Mar 23WranglersRFD@WranglersWRARFD4,WRA2RECAP
Tue, Mar 28WranglersWRA@WranglersONTWRA3,ONT2 (OT)RECAP
Wed, Mar 29WranglersCHW@WranglersWRACHW6,WRA3RECAP
Fri, Mar 31WranglersMAN@WranglersWRAMAN2,WRA3RECAP
Tue, Apr 4WranglersWRA@WranglersONTWRA6,ONT5 (OT)RECAP
Wed, Apr 5WranglersSDG@WranglersWRASDG4,WRA5RECAP
Sun, Apr 9WranglersUTI@WranglersWRAUTI8,WRA5RECAP
Wed, Apr 12WranglersWRA@WranglersSDGWRA4,SDG3RECAP
Fri, Apr 14WranglersSDG@WranglersWRASDG1,WRA6RECAP
Sat, Apr 15WranglersWRA@WranglersSDGWRA2,SDG3RECAP
Mon, Apr 17WranglersUTI@WranglersWRAUTI3,WRA4RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,458,377$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityCalgary
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price40$30$$$$
Attendance5217517469
Attendance PCT63.63%42.61%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 1699 - 56.62% 94,890$3,890,491$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,458,377$ 3,130,499$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
576,383$ 0$ 576,383$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 18,593$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Wranglers48-24-10, 106pts23Final
Gulls53-24-5, 111pts

Comets41-34-7, 89pts34Final
Wranglers48-24-10, 106pts

Comets41-34-7, 89ptsTue, Apr 18
Wranglers48-24-10, 106pts

Wranglers48-24-10, 106ptsFri, Oct 21
Silver Knights32-45-5, 69pts

Wranglers48-24-10, 106ptsSat, Oct 22
Condors40-34-8, 88pts

TRANSACTIONS



 

Team Info

Wranglers
Head CoachMitch Love
DivisionPACIFIQUE
CityCalgary
Stadium Capacity3,000

Wranglers Affiliation

Wranglers
General ManagerDarren Mongrain
Head CoachDarryl Sutter
StadiumScotiaBank Saddledome
Capacity17,000

Team Leaders


GOALS
Dillon Dube
WranglersWranglers
43
GOALS
POINTS
Dillon Dube
WranglersWranglers
90
POINTS
WINS
Joel Hofer
WranglersWranglers
33
WINS
Expanded Player Leaderboard

Team Stats


Goals For
329
4.01 GFG
Goals Against
290
3.54 GAA
Power Play Percentage
26.2%
79 GF
Penalty Kill Percentage
80.3%
59 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain