Wranglers
GP: 82 | W: 34 | L: 45 | OTL: 3 | P: 71
GF: 291 | GA: 338 | PP%: 17.21% | PK%: 76.19%
GM : Kevin Parisien | Morale : 75 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Admirals
30-44-8, 68pts
3
FINAL
4 Wranglers
34-45-3, 71pts
Team Stats
OTL2StreakL1
21-16-4Home Record18-21-2
9-28-4Away Record16-24-1
4-3-3Last 10 Games4-6-0
3.37Goals Per Game3.55
4.29Goals Against Per Game4.12
19.25%Power Play Percentage17.21%
75.45%Penalty Kill Percentage76.19%
Barracuda
38-36-8, 84pts
4
FINAL
2 Wranglers
34-45-3, 71pts
Team Stats
SOL1StreakL1
19-17-5Home Record18-21-2
19-19-3Away Record16-24-1
5-3-2Last 10 Games4-6-0
3.90Goals Per Game3.55
4.09Goals Against Per Game4.12
24.69%Power Play Percentage17.21%
74.60%Penalty Kill Percentage76.19%
Team Leaders
Wins
Evan Fitzpatrick
20
Save Percentage
Tommy Nappier
0.922

Team Stats
Goals For
291
3.55 GFG
Shots For
2777
33.87 Avg
Power Play Percentage
17.2%
37 GF
Offensive Zone Start
37.5%
Goals Against
338
4.12 GAA
Shots Against
3271
39.89 Avg
Penalty Kill Percentage
76.2%
65 GA
Defensive Zone Start
43.2%
Team Info

General ManagerKevin Parisien
CoachMichel Therrien
DivisionPacific Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,954
Season Tickets300


Roster Info

Pro Team24
Farm Team19
Contract Limit43 / 80
Prospects41


Team History

This Season34-45-3 (71PTS)
History967-1088-231 (0.423%)
Playoff Appearances4
Playoff Record (W-L)16-17
Stanley Cup0


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 #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Brad Richardson0XXX100.006837806273777860856160725986780756403721,100,000$
2Pontus Aberg0XX100.00643889667385646268675558646971075630291750,000$
3Ryan Schmelzer0X100.00693987577881845865596058576974075620292900,000$
4Dakota Joshua (R)0X100.00845372588577835973606157596667075620261999,000$
5CJ Suess26X100.00613687567081765764585966576870075610281700,000$
6Evan Polei (R)0X100.00807259558978835455575860576668075610261700,000$
7Joseph Gambardella0XX100.00613886597074875866595756586971075610291750,000$
8Cameron Hebig (R)0XXX100.00593883557180895660575854566567075600251900,000$
9Justin Scott0XXX100.00693764557880795663585759556769075600271999,000$
10Zack MacEwen0XX100.00868265548474875770555655596667075600262750,000$
11Ethan Keppen (R)23X100.00643979518371645356515054526163075560213950,000$
12Cam Dineen (R)29X100.005936916570847963306658635064660756302431,100,000$
13Maxime Lajoie0X100.00663793627779836130625860496567075630251895,000$
14Trevor Carrick0X100.00664173587572905730605659466870075610281750,000$
15Joseph Duszak (R)0X100.00563975646774796230665659506567075610251925,000$
16Andrew Nielsen0X100.00664273598564635830605357506668075600263750,000$
17Niclas Almari (R)0X100.00643786537364605230535452456466075570241900,000$
Scratches
1Luke Philp0X33.41593791636977816258616059636769075620271700,000$
2Robert Carpenter (R)0XX100.00633794557267635359535255546668075580261999,000$
3Mitch Eliot (R)0X100.00634269547270795330545253506466075570241900,000$
TEAM AVERAGE96.6766438058767578585359575855676907561
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Evan Fitzpatrick (R)100.0074646585737274737274736471075640242925,000$
2Kyle Keyser (R)100.0072747376717072717072716369075630231999,000$
Scratches
1Tommy Nappier (R)100.0068717387676668676668676471075620243750,000$
2Olle Eriksson Ek (R)100.0068727381676668676668676369075610232925,000$
TEAM AVERAGE100.007170718270697170697170647007563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Michel Therrien61636664888259CAN5911,000,000$


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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Pontus AbergWranglers (CGY)LW/RW753243751100751862769017911.59%19171022.81411154017801152126052.90%55200330.8802000513
2Maxime LajoieWranglers (CGY)D76125365540011710313844828.70%120172622.72549571680112194100.00%000000.7500000203
3Dakota JoshuaWranglers (CGY)C7624275184001391682195116110.96%18118215.560339460003844156.18%143300020.8601000614
4Luke PhilpWranglers (CGY)C67153550-100018137207461467.25%14116017.31235331100004853046.75%149100000.8601000042
5Ryan SchmelzerWranglers (CGY)C55222749-2160771491594712313.84%17124122.581781912220271635351.61%149400010.7902000470
6Cameron HebigWranglers (CGY)C/LW/RW76192948284017691414510013.48%14111014.611019460001141150.00%9200010.8600000102
7Joseph DuszakWranglers (CGY)D766414793607110059214810.17%94121215.952352461011071000.00%000000.7800000001
8Evan PoleiWranglers (CGY)LW7620224220515175721643812312.20%12112014.741238450001270050.60%8300010.7500001311
9Cam DineenWranglers (CGY)D70132841-2218073112107407812.15%108157122.466612441460003180100.00%000000.5200000202
10Justin ScottWranglers (CGY)C/LW/RW76192140-2231510970204501509.31%20123716.2813426126000013056.47%8500010.6500010011
11CJ SuessWranglers (CGY)LW751421351180487215649978.97%1884411.26123154610191061059.09%6600000.8300000011
12Trevor CarrickWranglers (CGY)D758273521560188789132618.79%95150420.06101241480112168100.00%000000.4700000041
13Joseph GambardellaWranglers (CGY)C/LW73201232-2310033871635612512.27%15122716.81336211240001612045.02%21100000.5211000220
14Zack MacEwenWranglers (CGY)C/RW7672027-1484102755411543696.09%10111814.7113418122000001060.49%8100000.4800101022
15Andrew NielsenWranglers (CGY)D70224261855145442811267.14%87101514.50000110000052000.00%000000.5100100200
16Robert CarpenterWranglers (CGY)C/LW647512100143241102217.07%13575.5800000000000053.92%31900000.6700000000
17Mitch EliotWranglers (CGY)D44189614033692511.11%122044.640000001102000.00%000000.8800000000
18Ethan KeppenWranglers (CGY)LW383253100271130101110.00%02185.7600002000010066.67%1200000.4600000001
19Niclas AlmariWranglers (CGY)D29000-8801048100.00%161565.390001200006000.00%000000.0000000000
Team Total or Average12672444456891352125164415542315686160610.54%6901992015.72295079349150935838143329551.77%591900390.6917212272424
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
1Evan FitzpatrickWranglers (CGY)55202620.9073.5729734017719080140.71475213152
2Kyle KeyserWranglers (CGY)30111310.8834.421386201028740000.00002352000
3Tommy NappierWranglers (CGY)32000.9222.57140006770000.000017000
4Olle Eriksson EkWranglers (CGY)21000.8995.2580007690000.000004000
Team Total or Average90343930.9003.8245816029229280140.71477676152


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Andrew NielsenWranglers (CGY)D2611/13/1996No210 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Brad Richardson (1 Way Contract)Wranglers (CGY)C/LW/RW372/4/1985No190 Lbs6 ft0NoNoYes2Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$Link / NHL Link
CJ SuessWranglers (CGY)LW283/17/1994No190 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Cam Dineen (1 Way Contract)Wranglers (CGY)D246/19/1998Yes188 Lbs5 ft11NoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$1,100,000$Link / NHL Link
Cameron HebigWranglers (CGY)C/LW/RW251/21/1997Yes184 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink / NHL Link
Dakota JoshuaWranglers (CGY)C265/15/1996Yes206 Lbs6 ft3NoNoNo1Pro & Farm999,000$999,000$0$0$NoLink / NHL Link
Ethan KeppenWranglers (CGY)LW213/20/2001Yes212 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Evan FitzpatrickWranglers (CGY)G241/28/1998Yes206 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Evan PoleiWranglers (CGY)LW262/19/1996Yes270 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Joseph DuszakWranglers (CGY)D257/22/1997Yes176 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink / NHL Link
Joseph GambardellaWranglers (CGY)C/LW2912/1/1993No196 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Justin ScottWranglers (CGY)C/LW/RW278/13/1995No202 Lbs6 ft1NoNoNo1Pro & Farm999,000$999,000$0$0$NoLink / NHL Link
Kyle KeyserWranglers (CGY)G233/8/1999Yes178 Lbs6 ft2NoNoNo1Pro & Farm999,000$999,000$0$0$NoLink / NHL Link
Luke Philp (Out of Payroll)Wranglers (CGY)C2711/6/1995No181 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$YesLink / NHL Link
Maxime LajoieWranglers (CGY)D2511/5/1997No196 Lbs6 ft1NoNoNo1Pro & Farm895,000$895,000$0$0$NoLink / NHL Link
Mitch EliotWranglers (CGY)D242/6/1998Yes190 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink / NHL Link
Niclas AlmariWranglers (CGY)D245/11/1998Yes180 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink / NHL Link
Olle Eriksson EkWranglers (CGY)G236/22/1999Yes189 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Pontus AbergWranglers (CGY)LW/RW299/23/1993No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Robert CarpenterWranglers (CGY)C/LW268/16/1996Yes200 Lbs5 ft11NoNoNo1Pro & Farm999,000$999,000$0$0$NoLink / NHL Link
Ryan SchmelzerWranglers (CGY)C297/28/1993No188 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Link / NHL Link
Tommy NappierWranglers (CGY)G246/22/1998Yes220 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link
Trevor CarrickWranglers (CGY)D287/4/1994No171 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Zack MacEwenWranglers (CGY)C/RW267/8/1996No205 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.08197 Lbs6 ft11.54875,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pontus AbergRyan SchmelzerJustin Scott40122
2Joseph GambardellaZack MacEwen30122
3Evan PoleiDakota JoshuaCameron Hebig20122
4CJ SuessRyan SchmelzerEthan Keppen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime Lajoie40122
2Trevor CarrickJoseph Duszak30122
3Andrew NielsenNiclas Almari20122
4Maxime Lajoie10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pontus AbergRyan SchmelzerJustin Scott60122
2Joseph GambardellaZack MacEwen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime Lajoie60122
2Trevor CarrickJoseph Duszak40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Pontus AbergRyan Schmelzer60122
2Dakota Joshua40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime Lajoie60122
2Trevor CarrickJoseph Duszak40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Pontus Aberg60122Maxime Lajoie60122
2Ryan Schmelzer40122Trevor CarrickJoseph Duszak40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Pontus AbergRyan Schmelzer60122
2Dakota Joshua40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime Lajoie60122
2Trevor CarrickJoseph Duszak40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Pontus AbergRyan SchmelzerJustin ScottMaxime Lajoie
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Pontus AbergRyan SchmelzerJustin ScottMaxime Lajoie
Extra Forwards
Normal PowerPlayPenalty Kill
Ethan Keppen, Evan Polei, CJ SuessEthan Keppen, Evan PoleiCJ Suess
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrew Nielsen, Niclas Almari, Trevor CarrickAndrew NielsenNiclas Almari, Trevor Carrick
Penalty Shots
Pontus Aberg, Ryan Schmelzer, , Dakota Joshua, Joseph Gambardella
Goalie
#1 : Evan Fitzpatrick, #2 : Kyle Keyser
Custom OT Lines Forwards
Pontus Aberg, Ryan Schmelzer, , Dakota Joshua, Joseph Gambardella, Evan Polei, Evan Polei, CJ Suess, Justin Scott, Zack MacEwen, Cameron Hebig
Custom OT Lines Defensemen
Maxime Lajoie, , Trevor Carrick, Joseph Duszak, Andrew Nielsen


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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Admirals32001000161062100100012751100000043161.00016274300116868361319559078992392312065600.00%9366.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
2Americans2020000037-41010000013-21010000024-200.0003581011686836559559078992387291845500.00%9188.89%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
3Barracuda42200000111012020000058-32200000062440.50011203100116868361339559078992312739181031317.69%9277.78%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
4Bears20200000211-91010000007-71010000024-200.00024600116868367395590789923741418428225.00%7271.43%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
5Bruins2010100067-1100010004311010000024-220.5006101610116868368195590789923421612489111.11%60100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
6Checkers211000001091110000005321010000056-120.50010203000116868365195590789923811822579333.33%10460.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
7Comets404000001330-1720200000514-920200000816-800.00013243700116868361349559078992320162469910220.00%21861.90%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
8Condors321000001486211000006601100000082640.6671427410011686836117955907899231143322826233.33%10190.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
9Crunch21100000761110000004221010000034-120.5007132000116868366495590789923722412515360.00%60100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
10Devils2200000015411110000008261100000072541.00015294400116868361019559078992367163958500.00%50100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
11Eagles30200100913-420100100710-31010000023-110.16791827001168683610495590789923962720869111.11%9366.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
12Firebirds3120000089-11010000023-12110000066020.3338152300116868368795590789923108332967800.00%11281.82%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
13Griffins20101000770100010005411010000023-120.500713200011686836769559078992375211057200.00%5340.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
14Gulls413000001319-62110000089-120200000510-520.25013223510116868361349559078992315648188313323.08%9277.78%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
15IceHogs31001010963210000106421000100032161.0009162500116868368895590789923105321658800.00%8187.50%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
16Marlies2010000159-41010000025-31000000134-110.250510150011686836629559078992384231443500.00%7185.71%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
17Monsters2110000079-2110000004311010000036-320.5007121900116868365295590789923812626534125.00%13469.23%21438281151.16%1612323949.77%732144750.59%1894131020205861033512
18Moose30300000713-61010000024-22020000059-400.00071219101168683683955907899231123321806116.67%7271.43%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
19Penguins2100010010821000010045-11100000063330.75010172700116868366995590789923762810517114.29%5180.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
20Phantoms202000001013-31010000067-11010000046-200.000102030001168683678955907899231112814453133.33%7357.14%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
21Reign41201000813-52010100056-12110000037-440.5008152300116868361459559078992316753347510110.00%15193.33%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
22Roadrunners321000001819-111000000541211000001315-240.6671834520011686836129955907899231382886710330.00%4250.00%11438281151.16%1612323949.77%732144750.59%1894131020205861033512
23Rocket22000000743110000004221100000032141.0007142100116868367395590789923782212443133.33%6183.33%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
24Senators20200000511-61010000048-41010000013-200.000591400116868367095590789923952712527228.57%5180.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
25Silver Knights413000001718-12020000059-421100000129320.25017345100116868361269559078992318135301028225.00%13376.92%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
26Sound Tigers220000001495110000008531100000064241.000142842001168683610195590789923893714633133.33%6266.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
27Stars31200000916-71010000026-421100000710-320.33391625001168683668955907899231593726775240.00%14564.29%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
28Thunderbirds33000000171071100000053222000000127561.000173249001168683694955907899231252741728225.00%13284.62%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
29Wild31200000916-721100000710-31010000026-420.33391524001168683610195590789923134371692700.00%8275.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
30Wolf Pack2020000027-51010000012-11010000015-400.0002460011686836499559078992378241959700.00%70100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
31Wolves2020000037-41010000012-11010000025-300.00035800116868364895590789923661818516116.67%9366.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
Total82284505211291338-4741132104210143166-2341152401001148172-24710.4332915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
_Since Last GM Reset82284505211291338-4741132104210143166-2341152401001148172-24710.4332915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
_Vs Conference46162404110156175-1924712031108091-1122912010007684-8430.4671562844402011686836150095590789923179049733611361111715.32%1513775.50%21438281151.16%1612323949.77%732144750.59%1894131020205861033512
_Vs Division268150110094117-231329011003956-171366000005561-6190.365941762701011686836918955907899231084298176611701420.00%811976.54%11438281151.16%1612323949.77%732144750.59%1894131020205861033512

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8271L129154083127773271926635202740
All Games
GPWLOTWOTL SOWSOLGFGA
8228455211291338
Home Games
GPWLOTWOTL SOWSOLGFGA
4113214210143166
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4115241001148172
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2153717.21%2736576.19%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9559078992311686836
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1438281151.16%1612323949.77%732144750.59%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1894131020205861033512


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2022-10-1318Eagles6Wranglers5BLXBoxScore
5 - 2022-10-1537Wranglers8Condors2AWBoxScore
8 - 2022-10-1855Silver Knights5Wranglers2BLBoxScore
10 - 2022-10-2068Americans3Wranglers1BLBoxScore
12 - 2022-10-2286Wolves2Wranglers1BLBoxScore
15 - 2022-10-25104Penguins5Wranglers4BLXBoxScore
19 - 2022-10-29138Condors4Wranglers1BLBoxScore
22 - 2022-11-01155Firebirds3Wranglers2BLBoxScore
24 - 2022-11-03169Admirals4Wranglers8BWBoxScore
26 - 2022-11-05187Devils2Wranglers8BWBoxScore
28 - 2022-11-07193Wranglers6Sound Tigers4AWBoxScore
29 - 2022-11-08197Wranglers7Devils2AWBoxScore
31 - 2022-11-10211Wranglers2Bruins4ALBoxScore
33 - 2022-11-12236Moose4Wranglers2BLBoxScore
35 - 2022-11-14245Reign3Wranglers1BLBoxScore
38 - 2022-11-17260Wranglers3Crunch4ALBoxScore
40 - 2022-11-19275Wranglers5Checkers6ALBoxScore
42 - 2022-11-21292Wranglers4Phantoms6ALBoxScore
44 - 2022-11-23306Wranglers6Penguins3AWBoxScore
46 - 2022-11-25322Wranglers2Bears4ALBoxScore
47 - 2022-11-26333Wranglers2Wolves5ALBoxScore
50 - 2022-11-29358Checkers3Wranglers5BWBoxScore
52 - 2022-12-01372Rocket2Wranglers4BWBoxScore
54 - 2022-12-03390Bears7Wranglers0BLBoxScore
56 - 2022-12-05401Roadrunners4Wranglers5BWBoxScore
58 - 2022-12-07414Wild3Wranglers4BWBoxScore
60 - 2022-12-09424Wranglers3Monsters6ALBoxScore
61 - 2022-12-10438Wranglers3Marlies4ALXXBoxScore
63 - 2022-12-12448Wranglers3Rocket2AWBoxScore
65 - 2022-12-14468Comets7Wranglers3BLBoxScore
67 - 2022-12-16482Thunderbirds3Wranglers5BWBoxScore
69 - 2022-12-18501Wranglers3Barracuda1AWBoxScore
71 - 2022-12-20517Wranglers3Barracuda1AWBoxScore
73 - 2022-12-22531Wranglers2Reign1AWBoxScore
74 - 2022-12-23544Wranglers2Gulls5ALBoxScore
78 - 2022-12-27555Condors2Wranglers5BWBoxScore
79 - 2022-12-28561Wranglers3Firebirds2AWBoxScore
82 - 2022-12-31587Comets7Wranglers2BLBoxScore
85 - 2023-01-03603Wranglers1Moose3ALBoxScore
88 - 2023-01-06626Sound Tigers5Wranglers8BWBoxScore
90 - 2023-01-08641Wranglers3IceHogs2AWXBoxScore
92 - 2023-01-10655Wranglers5Thunderbirds2AWBoxScore
94 - 2023-01-12670Wranglers7Thunderbirds5AWBoxScore
96 - 2023-01-14677Wranglers2Stars6ALBoxScore
98 - 2023-01-16703Wranglers4Admirals3AWBoxScore
100 - 2023-01-18715Eagles4Wranglers2BLBoxScore
103 - 2023-01-21733Crunch2Wranglers4BWBoxScore
105 - 2023-01-23754Monsters3Wranglers4BWBoxScore
108 - 2023-01-26777IceHogs2Wranglers3BWXXBoxScore
109 - 2023-01-27786Wranglers3Firebirds4ALBoxScore
119 - 2023-02-06809Wranglers1Wolf Pack5ALBoxScore
122 - 2023-02-09825Wranglers2Griffins3ALBoxScore
124 - 2023-02-11833Wranglers2Americans4ALBoxScore
126 - 2023-02-13850Wranglers1Senators3ALBoxScore
129 - 2023-02-16875Griffins4Wranglers5BWXBoxScore
131 - 2023-02-18891Wolf Pack2Wranglers1BLBoxScore
133 - 2023-02-20905Phantoms7Wranglers6BLBoxScore
135 - 2023-02-22919Wranglers6Roadrunners4AWBoxScore
136 - 2023-02-23928Wranglers8Silver Knights4AWBoxScore
138 - 2023-02-25945Wranglers2Eagles3ALBoxScore
141 - 2023-02-28965Bruins3Wranglers4BWXBoxScore
143 - 2023-03-02979Marlies5Wranglers2BLBoxScore
145 - 2023-03-04999Wild7Wranglers3BLBoxScore
147 - 2023-03-061008Wranglers5Stars4AWBoxScore
148 - 2023-03-071018Wranglers2Wild6ALBoxScore
151 - 2023-03-101037Gulls5Wranglers2BLBoxScore
153 - 2023-03-121058Senators8Wranglers4BLBoxScore
155 - 2023-03-141072Wranglers7Roadrunners11ALBoxScore
157 - 2023-03-161087Wranglers4Silver Knights5ALBoxScore
159 - 2023-03-181105Stars6Wranglers2BLBoxScore
161 - 2023-03-201119Wranglers1Reign6ALBoxScore
162 - 2023-03-211131Wranglers3Gulls5ALBoxScore
164 - 2023-03-231144Silver Knights4Wranglers3BLBoxScore
166 - 2023-03-251154Barracuda4Wranglers3BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
169 - 2023-03-281183Reign3Wranglers4BWXBoxScore
172 - 2023-03-311202Wranglers4Comets9ALBoxScore
174 - 2023-04-021225Gulls4Wranglers6BWBoxScore
176 - 2023-04-041236IceHogs2Wranglers3BWBoxScore
177 - 2023-04-051240Wranglers4Moose6ALBoxScore
180 - 2023-04-081270Wranglers4Comets7ALBoxScore
182 - 2023-04-101282Admirals3Wranglers4BWXBoxScore
184 - 2023-04-121297Barracuda4Wranglers2BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2515
Attendance80,88240,215
Attendance PCT98.64%98.09%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2954 - 98.45% 80,039$3,281,594$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,896,948$ 1,811,600$ 1,811,600$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,792$ 1,888,737$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,198$ 0$




Wranglers Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Arttu Ruotsalainen45363240356468040267312150180632592012.50%226810984024.225671215178234020004864868153.55%811.24081
2Steven Kampfer6346138948206209-170548981271015247143859.66%1266215251724.03653897155067680818184327810.00%810.8100
3Maxime Lajoie6757148240435525-806232210223103771385510.70%1193513647120.209039791882708602216516410.00%820.8100
4Sheldon Rempal67242454295254063334923199119272439510.06%196013910320.69653572122548218108182407052.43%00.7881162
5CJ Suess679119723033500563670625610373204309.65%108814498621.35163113713002940181821728416552.37%00.6981244

Wranglers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Evan Fitzpatrick6697309829424880.8993.7036642265281226142230380822470.7641384
2Jason Bacashihua278125120220.9043.041604329118138448445716120.66793
3Olle Eriksson Ek1136828100.9332.3337810001465217770000.0000
4Linus Ullmark82581580.9132.2349494518421170100.75044
5Rob Madore1415362160.8923.4779604546042592389760.63054

Wranglers Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
Regular Season
58095804243160363-203402280423190182-92407300001270181-1113916027443403038466816260452539612259991294915301734827.75%1845371.20%3488109644.53%564127544.24%575124346.26%136552518619991889964
68095504516147315-168406290220171161-90403260231576154-783914722236913032575313700338476529229876062914701703721.76%1623677.78%4563110051.18%603130246.31%525108848.25%1337481374120111909983
776154804324186315-1293882203221105162-57387260110381153-724918630549104039618019360535680689230477883617601794826.82%1886267.02%8725136753.04%671128352.30%579114150.74%132855515568101716843
876293003167252268-16381712021421331211238121801025119147-2884252409661230727497237507217878352474806147119841984924.75%2335377.25%1807159050.75%886171651.63%534114646.60%144567315617991620791
980353104343250261-1140161503231134139-540191601112116122-692250398648520611057625320757972778271883997319591724224.42%2465478.05%7851175748.43%897178750.20%586116650.26%154074316378151669817
10802539001042197236-3940121900621100120-204013200042197116-1970197320517310327982228806188088382632797159517942005025.00%2776676.17%3860173749.51%855189945.02%509107547.35%145464916578561732838
11801843011332177234-574011210422091114-23407220711286120-346917728946635021677516780424650557235579174917091604628.75%2326372.84%3576125345.97%745169044.08%45994248.73%136251616148731869933
1276263307154228237-938131702132112125-133813160502211611248122836859601054709221460561739790249079166115791685331.55%2246172.77%11762145652.34%857165951.66%528102851.36%138560015567941687862
1380264202604222298-7640152000302105145-4040112202302117153-366622235958183045868921900573803788276888861316721826133.52%2337069.96%7789157250.19%917182950.14%545109549.77%145963616278171744889
1480293703317277327-5040122102203142174-3240171601114135153-18762774517283106111696298509121070979273093380922532146128.50%2488067.74%5940188549.87%755160347.10%606121849.75%163683615878071624791
1580302507945231243-1240151304413111117-640151203532120126-69623137860911053986926110789931842259881257823121885931.38%2045075.49%5911176851.53%801162349.35%521100951.64%158275715958221697838
1676194702314214295-813872402212106151-4538122300102108144-365121438359711081646621120660723717270775463216212144119.16%2937873.38%21180229551.42%1289254750.61%616124449.52%158510442022597990465
1780165402413172308-136409240131282143-61407300110190165-754517231748911068524921980745716715283081355317272203114.09%2586873.64%01210244349.53%1194255046.82%653129950.27%1756118220266031048505
1876115601026172325-1533892401004108152-44382320002264173-1093417232049220068623918290597641580275580945714571974020.30%2104976.67%21049210149.93%1170240348.69%647125251.68%161610761989576994474
198247160437528619195412940202415683734118120235113010822124286503789050107977127330883924896213157045915622115224.64%1964776.02%31547277255.81%1404247556.73%723128656.22%2065144018386001091552
208238300463127323934412212023111401112941161802320133128597273491764530113747926860905904845251872375019312835419.08%3197476.80%01489282552.71%1528285953.45%701129953.96%2034140818676061056531
2182422903431308237714119170220115012129412312012301581164210130856186914012695813117010751034978271274753319692646022.73%2264580.09%31858312859.40%1680297056.57%740126958.31%2136153518005621017523
2282363703330276277-1412215021101481351341142201220128142-1487276491767230105818429340950971998276882046818112545320.87%2004975.50%31650306653.82%1444285850.52%711136152.24%2053144318445811051536
2382283709521282299-17411516062201501391141132103301132160-288428250578731928792142923931912102869300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-288428250578731928792142923931912102869300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
202282284505211291338-4741132104210143166-2341152401001148172-24712915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
Total Regular Season224874010880154116737768577998-1141112439250209658453135773873-296112434858605858284632804125-8452127685711924187816953300208022602024704302817217432370721323766672327018508517676130143523.41%6296151076.02%100344266531052.71%343176716151.10%181773501051.92%491813013652599202833676618446
Playoff
15514000001318-52110000055030300000813-52132437000346158043516419469351369333.33%15473.33%0529654.17%5711748.72%396857.35%89411095010150
191510500000504558530000025232752000002522320509314301020131445001431361314601387628332928.13%35682.86%026648454.96%28554852.01%12725150.60%369253396120210104
20624000001625-9321000001110130300000515-1041630460008532150557767227735215020420.00%25484.00%011523249.57%11824148.96%5210649.06%14699154488039
21734000002221132100000111014130000011110622396100079625007110475210664215729517.24%19289.47%016329355.63%12424251.24%519852.04%182129153478343
Total Playoff33161700000101109-816106000005248417611000004961-1232101186287010383129107303123683371091346205726902123.33%941682.98%0596110553.94%584114850.87%26952351.43%788523813267476237

Wranglers Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Austin Czarnik1515520543556622.73%435123.461011100006058.78%01.1400
2William Carrier1587156632246412.50%536224.16000000000135.71%00.8300
3Riley Barber156814109194313.95%241427.60022200001034.62%00.6800
4Oliver Bjorkstrand125813-8215304810.42%325621.411341200011048.08%01.0100
5Tom Kostopoulos1521113-143423296.90%331020.69156600001048.00%00.8400

Wranglers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Linus Ullmark1510500.9022.7797521454600000.0000
2Juuse Saros73400.8943.1338400201880000.0000
3Magnus Hellberg62310.8903.9438100252270000.0000
4Kenny Reiter51310.9073.612990018194117000.0000
5Edward Pasquale10000.9551.7135001220000.0000