Please rotate your device to landscape mode for a better experience.
Login

Wranglers
GP: 9 | W: 4 | L: 5 | OTL: 0 | P: 8
GF: 44 | GA: 44 | PP%: 10.00% | PK%: 60.87%
GM : Kevin Singh | Morale : 49 | Team Overall : 57
Next Games #110 vs Barons

Game Center
Wranglers
4-5-0, 8pts
6
FINAL
7 Nordiks
6-3-0, 12pts
Team Stats
W1StreakW3
2-2-0Home Record3-2-0
2-3-0Home Record3-1-0
4-5-0Last 10 Games6-3-0
4.89Goals Per Game6.00
4.89Goals Against Per Game5.33
10.00%Power Play Percentage30.43%
60.87%Penalty Kill Percentage75.86%
Wranglers
4-5-0, 8pts
7
FINAL
5 Lions
4-5-0, 8pts
Team Stats
W1StreakL1
2-2-0Home Record2-3-0
2-3-0Home Record2-2-0
4-5-0Last 10 Games4-5-0
4.89Goals Per Game4.44
4.89Goals Against Per Game5.00
10.00%Power Play Percentage36.36%
60.87%Penalty Kill Percentage80.00%
Barons
5-3-0, 10pts
Day 20
Wranglers
4-5-0, 8pts
Team Stats
L1StreakW1
3-2-0Home Record2-2-0
2-1-0Away Record2-3-0
5-3-0Last 10 Games4-5-0
4.50Goals Per Game4.89
4.75Goals Against Per Game4.89
18.52%Power Play Percentage10.00%
62.50%Penalty Kill Percentage60.87%
Wranglers
4-5-0, 8pts
Day 22
Tomahawks
4-2-2, 10pts
Team Stats
W1StreakW1
2-2-0Home Record2-1-1
2-3-0Away Record2-1-1
4-5-0Last 10 Games4-2-2
4.89Goals Per Game5.75
4.89Goals Against Per Game5.75
10.00%Power Play Percentage26.67%
60.87%Penalty Kill Percentage85.71%
Wranglers
4-5-0, 8pts
Day 24
Barracuda
5-4-0, 10pts
Team Stats
W1StreakW2
2-2-0Home Record3-1-0
2-3-0Away Record2-3-0
4-5-0Last 10 Games5-4-0
4.89Goals Per Game4.56
4.89Goals Against Per Game4.56
10.00%Power Play Percentage18.52%
60.87%Penalty Kill Percentage66.67%
Team Leaders

Team Stats
Goals For
44
4.89 GFG
Shots For
481
53.44 Avg
Power Play Percentage
10.0%
2 GF
Offensive Zone Start
41.2%
Goals Against
44
4.89 GAA
Shots Against
492
54.67 Avg
Penalty Kill Percentage
60.9%%
9 GA
Defensive Zone Start
42.0%
Team Info

General ManagerKevin Singh
CoachLanny McDonald
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team18
Farm Team21
Contract Limit39 / 50
Prospects39


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
1Connor ZaryX100.00635684716375856959636459536363052630251500,000$
2Brendan GallagherX100.00716077696571876850655660508076052630342500,000$
3Ryan StromeX100.006061756768737068646763605178740526303311,750,000$
4Taylor RaddyshX100.00665690687270807150626167506767052630281750,000$
5John BeecherX100.00656090647965606360595371506366052600252500,000$
6Gavin Brindley (R)X100.00635492665965716850615860505658052590224500,000$
7Zack OstapchukX100.00816582647766506070585268506063052590231500,000$
8Samuel HonzekX100.00695593596764555850545363505660052560213550,000$
9Riley TufteX100.00513589578450515050505050516768052520282500,000$
10Joshua RoyX100.00504267576850505050505050505858052510231500,000$
11Jakob PelletierX100.00503589575950515050505050506865052510254500,000$
12Derek ForbortX100.00504653577850525050505050558079052540342500,000$
13Kirill KudryavtsevX100.00503594577150535050555050555866052530222675,000$
14Matt KierstedX100.00503594576450535050505050557072052530283550,000$
Scratches
1Liam FoudyX100.00503589576650515050505050506463041510261500,000$
2James Hagens (R)X100.00504353576250525050505050505763041500194500,000$
TEAM AVERAGE100.0059488262695961585356545751656605156
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
1Charlie Lindgren100.00657068726866686664506976760546603222,000,000$
2Calvin Pickard100.0059686575646261615850508080054630342500,000$
Scratches
TEAM AVERAGE100.006269677466646564615060787805465
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lanny McDonald7585958070801CAN734500,000$


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
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


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Brendan GallagherWranglers (WPG)RW341992-05-06CANNo185 Lbs5 ft9NoNoFree AgentNoNo22025-08-07FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Calvin PickardWranglers (WPG)G341992-04-15CANNo206 Lbs6 ft1NoNoFree AgentNoNo22024-09-05FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Charlie LindgrenWranglers (WPG)G321993-12-18CANNo190 Lbs6 ft2NoNoTrade2025-11-18NoNo22024-08-19FalseFalsePro & Farm2,000,000$200,000$181,633$No2,000,000$--------2,000,000$--------No--------Link / NHL Link
Connor ZaryWranglers (WPG)C252001-09-25CANNo178 Lbs6 ft0NoNoTrade2025-02-01NoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Derek ForbortWranglers (WPG)D341992-03-04CANNo216 Lbs6 ft4NoNoFree AgentNoNo22024-09-04FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Gavin BrindleyWranglers (WPG)C222004-10-05CANYes173 Lbs5 ft8NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Link
Jakob PelletierWranglers (WPG)LW252001-03-07CANNo172 Lbs5 ft10NoNoFree Agent2025-01-12NoNo42026-07-06FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
James HagensWranglers (WPG)C192006-11-03CANYes177 Lbs5 ft11NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Link
John BeecherWranglers (WPG)C252001-04-05CANNo220 Lbs6 ft3NoNoFree AgentNoNo22024-09-03FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Joshua RoyWranglers (WPG)RW232003-08-06CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Kirill KudryavtsevWranglers (WPG)D222004-02-05CANNo200 Lbs5 ft11NoNoFree AgentNoNo22025-08-09FalseFalsePro & Farm675,000$67,500$61,301$No675,000$--------675,000$--------No--------Link / NHL Link
Liam FoudyWranglers (WPG)C262000-02-04CANNo186 Lbs6 ft1NoNoFree AgentNoNo12024-09-08FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Matt KierstedWranglers (WPG)D281998-04-14CANNo182 Lbs6 ft0NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm550,000$55,000$49,949$No550,000$550,000$-------550,000$550,000$-------NoNo-------Link / NHL Link
Riley TufteWranglers (WPG)LW281998-04-10CANNo233 Lbs6 ft6NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Ryan StromeWranglers (WPG)C331993-07-11CANNo192 Lbs6 ft1NoNoTrade2025-07-11NoNo1FalseFalsePro & Farm1,750,000$175,000$158,929$No---------------------------Link / NHL Link
Samuel HonzekWranglers (WPG)LW212004-11-12CANNo186 Lbs6 ft4NoNoFree Agent2025-07-11NoNo32025-07-25FalseFalsePro & Farm550,000$55,000$49,949$No550,000$550,000$-------550,000$550,000$-------NoNo-------Link / NHL Link
Taylor RaddyshWranglers (WPG)RW281998-02-18CANNo201 Lbs6 ft2NoNoFree AgentNoNo12026-07-06FalseFalsePro & Farm750,000$75,000$68,112$No---------------------------Link / NHL Link
Zack OstapchukWranglers (WPG)C232003-05-29CANNo212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1826.78195 Lbs6 ft12.11681,944$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
1Aces11000000642110000006420000000000021.00061218001716110401541621650347416200.00%10100.00%020641150.12%19641946.78%7216842.86%2041482316210450
2Barons1010000045-1000000000001010000045-100.000481200171611036154162165050101230000%6183.33%020641150.12%19641946.78%7216842.86%2041482316210450
3Ice Bats2110000079-2000000000002110000079-220.50071421001716110123154162165010722257500.00%110.00%020641150.12%19641946.78%7216842.86%2041482316210450
4Lions220000001376110000006241100000075241.0001324370017161101071541621650125331858400.00%9366.67%020641150.12%19641946.78%7216842.86%2041482316210450
5Nordiks202000001012-21010000045-11010000067-100.0001018280017161101221541621650112302388225.00%10100.00%020641150.12%19641946.78%7216842.86%2041482316210450
6Tomahawks1010000047-31010000047-30000000000000.000481200171611053154162165064191733100.00%5420.00%020641150.12%19641946.78%7216842.86%2041482316210450
Total94500000444404220000020182523000002426-280.444448412800171611048115416216504921215523220210.00%23960.87%020641150.12%19641946.78%7216842.86%2041482316210450
_Since Last GM Reset94500000444404220000020182523000002426-280.444448412800171611048115416216504921215523220210.00%23960.87%020641150.12%19641946.78%7216842.86%2041482316210450
_Vs Conference94500000444404220000020182523000002426-280.444448412800171611048115416216504921215523220210.00%23960.87%020641150.12%19641946.78%7216842.86%2041482316210450
_Vs Division13500000642112000006420230000000063.00061218001716110401541621650347416200.00%10100.00%020641150.12%19641946.78%7216842.86%2041482316210450

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
98W144841284814921215523200
All Games
GPWLOTWOTL SOWSOLGFGA
94500004444
Home Games
GPWLOTWOTL SOWSOLGFGA
42200002018
Visitor Games
GPWLOTWOTL SOWSOLGFGA
52300002426
Last 10 Games
WLOTWOTL SOWSOL
450000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20210.00%23960.87%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
15416216501716110
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20641150.12%19641946.78%7216842.86%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2041482316210450


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
11Nordiks5Wranglers4LBoxScore
28Wranglers2Ice Bats5LBoxScore
528Wranglers4Barons5LBoxScore
633Wranglers5Ice Bats4WBoxScore
947Tomahawks7Wranglers4LBoxScore
1161Lions2Wranglers6WBoxScore
1478Aces4Wranglers6WBoxScore
1687Wranglers6Nordiks7LBoxScore
18102Wranglers7Lions5WBoxScore
20110Barons-Wranglers-
22122Wranglers-Tomahawks-
24133Wranglers-Barracuda-
26141Ice Bats-Wranglers-
29157Nordiks-Wranglers-
32175Ice Bats-Wranglers-
36189Wranglers-Ice Bats-
38203Fighting Pandas-Wranglers-
41220Lynx-Wranglers-
43231Wranglers-Americiens-
46241Wranglers-Wombats-
48251Americiens-Wranglers-
51267Firebirds-Wranglers-
53282Wranglers-Broncos-
55291Wranglers-Barons-
56299Canucks-Wranglers-
59315Quacken-Wranglers-
61323Wranglers-Barons-
63333Wranglers-Aces-
65348Canucks-Wranglers-
68364Marlies-Wranglers-
70375Wranglers-Lynx-
72387Wranglers-Griffins-
73395Aces-Wranglers-
75405Wranglers-Aces-
77416Quacken-Wranglers-
79424Wranglers-Barracuda-
82442Laval Rocket-Wranglers-
85455Wranglers-Fighting Pandas-
87466Aces-Wranglers-
89478Wranglers-Fighting Pandas-
91486Wranglers-Laval Rocket-
93497Fighting Pandas-Wranglers-
95509Wranglers-Admirals-
96518Ice Bats-Wranglers-
99533Wranglers-Roadrunners-
102541Barons-Wranglers-
105561Roadrunners-Wranglers-
107568Wranglers-Firebirds-
110584Admirals-Wranglers-
112596Wranglers-Bruins-
114605Wranglers-Roadrunners-
115614Broncos-Wranglers-
118633Lions-Wranglers-
120642Wranglers-Lions-
122655Wranglers-Orlando Solar Bears-
124663Orlando Solar Bears-Wranglers-
126674Wranglers-Tomahawks-
128684Bruins-Wranglers-
131700Wranglers-Newfoundland Regiment-
133708Wranglers-Lions-
134715Nordiks-Wranglers-
138730Wranglers-Nordiks-
140738Nordiks-Wranglers-
142755Wranglers-Nordiks-
144762Tomahawks-Wranglers-
148779Wranglers-Tomahawks-
149788Wombats-Wranglers-
152798Wranglers-Newfoundland Regiment-
154809Tomahawks-Wranglers-
157825Wranglers-Marlies-
159833Lions-Wranglers-
162853Roadrunners-Wranglers-
165864Wranglers-Canucks-
167877Newfoundland Regiment-Wranglers-
169887Wranglers-Canucks-
172902Barons-Wranglers-
175917Wranglers-Quacken-
177928Wranglers-Ice Bats-
178935Griffins-Wranglers-
181948Wranglers-Quacken-
182957Barracuda-Wranglers-
186974Barracuda-Wranglers-
188983Wranglers-Ice Bats-
192999Newfoundland Regiment-Wranglers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
162,477$ 1,227,500$ 1,227,500$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,227,500$ 116,559$ 18 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 178 8,814$ 1,568,892$




Wranglers Players 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

Wranglers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

Wranglers Players 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

Wranglers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA