Wranglers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Alex Duchesne | Morale : 75 | Team Overall : 61
Next Games #4 vs Thunderbirds

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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 SP
Scratches
1Calum Ritchie (R)X100.006839907180828667756864636861638075650
2Easton Cowan (R)X100.006538796872848666586763626561638075640
3Rory KerinsX100.006135916765858466686964616564664875640
4Rutger McGroartyX100.007039876780868366696561626362648475640
5Ville KoivunenXXX100.006039766771838769746862616563657175640
6Oliver Moore (R)X100.006137897170808265746766646961638375640
7Jagger FirkusX100.006236916761888566686461636562647675630
8Quinn Hutson (R)X100.005739686670898765616367626864654375630
9Trevor Connelly (R)X100.005739856567857764746859586360628575620
10Kenny Connors (R)X100.006838866177798559636057625863656175610
11Caedan BankierX100.007039875879828556635557595663656275600
12Jaxon NelsonX100.008039935689736953575554595666684275600
13Owen Allard (R)X100.006938935878738657615655595762645675600
14Alexis GendronX100.005539746164888259555760565863654975590
15Michael MilneX100.007239745869767857525455535664666275580
16Riley Heidt (R)X100.005738835666698754595755535661636775580
17David Goyette (R)X100.005640735865707957555654525962646875570
18Josh Davies (R)X100.006042595469666553505152555362644975550
19Alexander Nikishin (R)X100.007540877487899073307571705864666375700
20Elias D. PetterssonX100.007439786577828659306356665162646575620
21Harrison Brunicke (R)X100.007142736784836365306061645360627575620
22Luca CagnoniX100.006136866665878564306856595062645975620
23Elias SalomonssonX100.006637876369848159306355584662647175610
24Jeremie PoirierX100.006841746077728357306255584864666375600
25Jack MillarX100.008441905593667953305652614566684275600
26Tanner Molendyk (R)X100.006337936372658259306054554761638175600
27Kirill Kirsanov (R)X100.006837955577638653305453564564666375590
28Sean Behrens (R)X100.005737876266646958306054564763656775590
29Damien Carfagna (R)X100.005837895666718554305755534764664375580
30Maximus WannerX100.007141785580667254305352564563654975580
31Christopher Merisier-OrtizX100.005836945667626854305550534565674275570
32Jake Boltmann (R)X100.006637955575636453305450564565676275570
33Leon Muggli (R)X100.005836955567666953305452564660627375570
TEAM AVERAGE100.00653884627376806048605759556365637561
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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 SP
Scratches
1Devon Levi100.00789187747776787776787765735775660
2Simon Zajicek (R)100.00777975747675777675777665734275650
3Domenic DiVincentiis (R)100.00748378797372747372747362674975640
4Olivier Rodrigue100.00748177707372747372747366756475640
5Ryan Fanti (R)100.00737773827271737271737267773775630
6Ty Young (R)100.00707672806968706968706962675675620
7Callum Tung (R)100.00667470836564666564666563694475590
TEAM AVERAGE100.0073807677727173727173726472507563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Steve Potvin70647266797473CAN511900,000$


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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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexander NikishinD262001-10-02Yes218 Lbs6 ft3NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Alexis GendronRW242003-12-30No175 Lbs5 ft9NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Caedan BankierC242003-01-26No192 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Callum TungG242003-11-23Yes198 Lbs6 ft3NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Calum RitchieC222005-01-21Yes200 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Christopher Merisier-OrtizD262001-01-17No171 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Damien CarfagnaD252002-12-12Yes170 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
David GoyetteC232004-03-27Yes172 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Devon LeviG262001-12-27No192 Lbs6 ft0NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Domenic DiVincentiisG232004-03-04Yes191 Lbs6 ft2NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Easton CowanRW222005-05-20Yes190 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Elias D. PetterssonD232004-02-16No185 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Elias SalomonssonD232004-08-31No172 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Harrison BrunickeD212006-05-08Yes201 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jack MillarD272000-11-30No220 Lbs6 ft5NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Jagger FirkusRW232004-04-29No153 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jake BoltmannD262001-10-19Yes188 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jaxon NelsonC272000-03-30No215 Lbs6 ft4NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Jeremie PoirierD252002-06-02No196 Lbs6 ft1NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Josh DaviesLW232004-03-24Yes197 Lbs5 ft9NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kenny ConnorsC242003-03-10Yes199 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kirill KirsanovD252002-09-19Yes198 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Leon MuggliD212006-07-09Yes165 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luca CagnoniD232004-12-21No180 Lbs5 ft9NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Maximus WannerD242003-03-12No185 Lbs6 ft3NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Michael MilneLW252002-09-21No185 Lbs5 ft11NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Oliver MooreC222005-01-22Yes188 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Olivier RodrigueG272000-07-06No158 Lbs6 ft1NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Owen AllardC232004-01-13Yes190 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Quinn Hutson (1 Way Contract)RW252002-01-01Yes176 Lbs5 ft11NoNoNo3RFAPro & Farm1,700,000$1,700,000$1,700,000$NoLink / NHL Link
Riley HeidtC222005-03-25Yes178 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Rory KerinsC252002-04-12No175 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Rutger McGroartyRW232004-03-30No212 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ryan FantiG281999-10-03Yes194 Lbs6 ft3NoNoNo2UFAPro & Farm900,000$0$0$NoLink / NHL Link
Sean BehrensD242003-03-31Yes177 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Simon ZajicekG262001-06-25Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tanner MolendykD222005-02-03Yes190 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Trevor ConnellyLW212006-02-28Yes156 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ty YoungG232004-09-11Yes181 Lbs6 ft3NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Ville KoivunenC/LW/RW242003-06-13No184 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4024.00186 Lbs6 ft12.30950,000$



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 :


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
1 - 2026-09-194Wranglers-Thunderbirds-
2 - 2026-09-2019Wranglers-Marlies-
4 - 2026-09-2243Penguins-Wranglers-
5 - 2026-09-2359Comets-Wranglers-
7 - 2026-09-2569Stars-Wranglers-
8 - 2026-09-2681Gulls-Wranglers-
10 - 2026-09-2898Wranglers-Wolf Pack-
11 - 2026-09-29115Wranglers-Canucks-
13 - 2026-10-01142Crunch-Wranglers-
14 - 2026-10-02147Wranglers-Monsters-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,630,000$ 3,630,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 14 0$ 0$




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
202056163005311196221-25281012051001041004286180021192121-294819635855420066646019680695633622201758749414671492718.12%2236769.96%11033199851.70%1028208949.21%49798950.25%12608501386425736355
2021823631047132932858412211033111551282741142001402138157-199229354483722099919825510826859839256270351218302556726.27%2255077.78%21391273850.80%1406274651.20%719139251.65%2006139818875961058534
202282343201222030128318412211051201651353041122107100136148-12983015358364201178189293809359211046287684275819772966421.62%3086678.57%41652311453.05%1557294752.83%724139052.09%1923131619636061062526
20238434330534527526411411915031211381211743151802224137143-694275488763100103907327770929942858274881565519233366218.45%2916577.66%31535297851.54%1593304152.38%692133651.80%1979135720276341090535
202482323405326218235-1741161702204105120-1541161703122113115-28721839261025079726022780739795704240369861418492484819.35%2714683.03%11362257252.95%1422277951.17%643125451.28%1898129620156181062521
202582283706614190213-23411618032111029664112190340388117-298019034253229073595121770696765692234467456118792263214.16%2283385.53%31326262750.48%1382269751.24%608116252.32%1961135519626041059529
Total Regular Season46818019703724111914731501-28233105840211067769700692357511301614512704801-9749914732659413213180537457431146890482049154761149504319359410925151030019.87%154632778.85%1482991602751.78%83881629951.46%3883752351.62%11030757611243348660703002
Playoff
2021734000002229-73210000011110413000001118-7622386000011372250668967254742616520210.00%13469.23%011022050.00%10523644.49%4611838.98%168117166539246
2022734000002629-3422000001718-131200000911-2626467200081062800728673288878417531619.35%30680.00%014430048.00%16030752.12%6713250.76%1831241996110450
202373400000262513300000016106404000001015-56264773000113112980828067312959624433515.15%41978.05%115032646.01%15837042.70%6312650.00%2051382276811455
2024945000002230-8422000001014-4523000001216-482242640007952540789272283817621825624.00%37781.08%014830748.21%16131551.11%6013743.80%2191502267012258
Total Playoff3013170000096113-171495000005453116412000004260-1826961732690002735291057029834727911373372828021091917.43%1212678.51%1552115347.88%584122847.56%23651346.00%776530820254435210