Wranglers

GP: 36 | W: 10 | L: 25 | OTL: 1 | P: 21
GF: 115 | GA: 184 | PP%: 18.69% | PK%: 81.43%
GM : Martin Thibault | Morale : 50 | Team Overall : 62
Next Games #543 vs Roadrunners

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PriorityTypeDescription
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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.
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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 SP
1Dryden Hunt0X100.007853806673887965726962656471733550660
2John Hayden0XXX100.007981706388808462676160645971725250640
3Matt Martin0XX100.008385816286747663586160645887762650640
4Sheldon Dries0XXX100.005638796465918263675965586371733450630
5James Hamblin0X100.005936906667827764676162606567684250630
6Justin Dowling0XX100.006635936466788262746061626375772350630
7Mike Vecchione0X100.006037896169818560635961566272742750620
8Gemel Smith0X100.006244616071776462716458576071734850610
9Carl Berglund0X100.007338945882767056645753595465674250600
10Luke Toporowski0X100.006039806169848258626059565864664350600
11Corey Andonovski0X100.006742675776718154595556585466684250590
12Adam Raska0X100.006865625766698256545755565364664850580
Scratches
TEAM AVERAGE100.00684979627379796065605960597071395062
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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
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Woods63656869868061CAN5761,000,000$


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
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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


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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
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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
Adam RaskaRW242001-09-25No178 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Carl BerglundC252000-01-16No207 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Corey AndonovskiRW261999-03-26No195 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dryden HuntLW301995-11-24No193 Lbs6 ft0NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Gemel SmithC311994-04-16No203 Lbs5 ft10NoNoNo4UFAPro & Farm400,000$0$0$NoLink
James HamblinLW261999-04-27No185 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
John HaydenC/LW/RW301995-02-14No223 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Justin DowlingC/LW351990-10-01No180 Lbs5 ft10NoNoNo1UFAPro & Farm400,000$0$0$NoLink / NHL Link
Luke ToporowskiLW242001-04-12No183 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt MartinLW/RW361989-05-08No215 Lbs6 ft3NoNoNo3UFAPro & Farm800,000$0$0$NoLink / NHL Link
Mike VecchioneLW321993-02-25No193 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Sheldon DriesC/LW/RW311994-04-23No180 Lbs5 ft9NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1229.17195 Lbs6 ft02.08425,000$



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 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3621SOW11152223371233186951130983710
All Games
GPWLOTWOTL SOWSOLGFGA
369250110115184
Home Games
GPWLOTWOTL SOWSOLGFGA
2081200007491
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1611301104193
Last 10 Games
WLOTWOTL SOWSOL
350110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1072018.69%1402681.43%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
42239841054839272
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
442103242.83%512132238.73%21458836.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
6424341121250400176


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
8 - 2025-08-226Canucks6Wranglers4LBoxScore
10 - 2025-08-2424Canucks2Wranglers4WBoxScore
13 - 2025-08-2731Wranglers2Firebirds8LBoxScore
15 - 2025-08-2942Wranglers4Silver Knights6LBoxScore
16 - 2025-08-3053Wranglers2Silver Knights7LBoxScore
19 - 2025-09-0265Wranglers4Condors5LBoxScore
22 - 2025-09-0579Eagles6Wranglers1LBoxScore
24 - 2025-09-0796Eagles6Wranglers1LBoxScore
26 - 2025-09-09102Gulls6Wranglers3LBoxScore
28 - 2025-09-11111Gulls7Wranglers2LBoxScore
33 - 2025-09-16139Condors3Wranglers4WBoxScore
34 - 2025-09-17145Condors4Wranglers7WBoxScore
37 - 2025-09-20166Silver Knights4Wranglers3LBoxScore
38 - 2025-09-21171Silver Knights4Wranglers2LBoxScore
44 - 2025-09-27213Wranglers1Barracuda10LBoxScore
45 - 2025-09-28219Wranglers0Barracuda4LBoxScore
48 - 2025-10-01225Wranglers1Gulls6LBoxScore
50 - 2025-10-03237Wranglers2Roadrunners5LBoxScore
51 - 2025-10-04252Wranglers2Roadrunners3LBoxScore
57 - 2025-10-10274Wranglers6Moose4WBoxScore
59 - 2025-10-12294Wranglers1Moose7LBoxScore
64 - 2025-10-17316Roadrunners5Wranglers6WBoxScore
65 - 2025-10-18328Roadrunners2Wranglers5WBoxScore
68 - 2025-10-21342Moose5Wranglers3LBoxScore
69 - 2025-10-22349Moose6Wranglers3LBoxScore
72 - 2025-10-25372Wranglers0Firebirds8LBoxScore
73 - 2025-10-26379Wranglers2Firebirds4LBoxScore
76 - 2025-10-29395Wranglers4Reign6LBoxScore
78 - 2025-10-31406Silver Knights5Wranglers7WBoxScore
80 - 2025-11-02424Silver Knights6Wranglers5LBoxScore
88 - 2025-11-10457Canucks2Wranglers4WBoxScore
90 - 2025-11-12467Canucks6Wranglers2LBoxScore
92 - 2025-11-14478Moose1Wranglers4WBoxScore
94 - 2025-11-16499Moose5Wranglers4LBoxScore
99 - 2025-11-21518Wranglers3Eagles4LXBoxScore
100 - 2025-11-22533Wranglers7Eagles6WXXBoxScore
103 - 2025-11-25543Roadrunners-Wranglers-
104 - 2025-11-26553Roadrunners-Wranglers-
107 - 2025-11-29576Wranglers-Gulls-
108 - 2025-11-30586Wranglers-Reign-
110 - 2025-12-02591Wranglers-Reign-
114 - 2025-12-06626Gulls-Wranglers-
115 - 2025-12-07627Gulls-Wranglers-
120 - 2025-12-12659Wranglers-Canucks-
121 - 2025-12-13675Wranglers-Canucks-
127 - 2025-12-19688Wranglers-Silver Knights-
128 - 2025-12-20702Wranglers-Silver Knights-
135 - 2025-12-27738Reign-Wranglers-
137 - 2025-12-29755Reign-Wranglers-
142 - 2026-01-03790Wranglers-Firebirds-
143 - 2026-01-04799Wranglers-Reign-
146 - 2026-01-07811Wranglers-Gulls-
148 - 2026-01-09822Canucks-Wranglers-
149 - 2026-01-10835Canucks-Wranglers-
152 - 2026-01-13847Firebirds-Wranglers-
153 - 2026-01-14855Firebirds-Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2026-01-17870Wranglers-Moose-
157 - 2026-01-18885Wranglers-Moose-
163 - 2026-01-24924Wranglers-Canucks-
164 - 2026-01-25933Wranglers-Canucks-
169 - 2026-01-30956Firebirds-Wranglers-
171 - 2026-02-01971Firebirds-Wranglers-
176 - 2026-02-06998Wranglers-Condors-
177 - 2026-02-071014Wranglers-Gulls-
180 - 2026-02-101027Wranglers-Roadrunners-
181 - 2026-02-111035Wranglers-Roadrunners-
184 - 2026-02-141050Reign-Wranglers-
186 - 2026-02-161071Reign-Wranglers-
190 - 2026-02-201089Wranglers-Canucks-
191 - 2026-02-211105Wranglers-Canucks-
197 - 2026-02-271123Barracuda-Wranglers-
199 - 2026-03-011152Barracuda-Wranglers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance38,27718,833
Attendance PCT95.69%94.17%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
16 2856 - 95.18% 71,376$1,427,527$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
527,831$ 51,000$ 51,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 27,831$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,142,022$ 100 5,255$ 525,500$




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
1282442601632290223674120140042114611036412412012111441133110429046075016010710178268408658879182135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
136828310611122321493413150311111410773415160300010910727222338460734084706219410654592674188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
14683228032122291676234141700111110822834181103101119853476229390619260101754923470752763813244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
14683228032122291676234141700111110822834181103101119853476229390619260101754923470752763813244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
14683228032122291676234141700111110822834181103101119853476229390619260101754923470752763813244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
15824725042222941901044124100410215584714123150012013910633110294480774180123828329380989968952216661885413334476213.87%3746083.96%01719282960.76%1409254155.45%724119660.54%207515391967552909450
15824725042222941901044124100410215584714123150012013910633110294480774180123828329380989968952216661885413334476213.87%3746083.96%01719282960.76%1409254155.45%724119660.54%207515391967552909450
1682165902311259414-1554192901101129198-694173001210130216-8642259383642100102866827310905914903299384483014314094911.98%35610071.91%21109257843.02%889244736.33%548136440.18%174612782327553863383
177240220423125518768361810032301268046362212010011291072297255464719112093847122200714752740198557384313063806216.32%3265084.66%21330225159.08%1152213154.06%593108354.76%179212901735493825415
1872184902300203359-15636112302000107176-69367260030096183-874320337157411084566123360798746783305991266014292783512.59%2977674.41%1809199440.57%865237136.48%456117138.94%139910032172479757335
1970115403101200386-186347260100097192-953642802101103194-913020038558520082744123530770812764347397357614872283615.79%2195276.26%2790188641.89%940242538.76%473119539.58%12418642210477758327
203692500110115184-6920812000007491-1716113001104193-52211152223371048392721233422398410518695113098371072018.69%1402681.43%2442103242.83%512132238.73%21458836.39%6424341121250400176
Total Regular Season85035640003527161628202848-28426176200018139101433136865424180200017147613871480-93857282047997619185748114088769628415422933893389130290658106912015999394356914.43%380871681.20%26137012627552.14%128692809645.80%64191298349.44%191731391322758579193304399
Playoff
115140000069-32020000013-23120000056-12610160002219602630391254279923638.33%36391.67%06415541.29%9016753.89%305851.72%10466134416128
12514000001021-112020000038-531200000713-62101828000424115038393811729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
15514000001015-52020000016-531200000990210172700062217106567391394663892015.00%24579.17%012018564.86%7613456.72%427060.00%12292123315325
17624000001527-1230300000718-113210000089-141525400006721580495851233907311927518.52%31293.55%06917040.59%9521444.39%439644.79%12485170416530
Total Playoff21516000004172-31909000001235-231257000002937-81041701110001813954001781941676142072933911101210.91%1281985.16%034166851.05%33765151.77%16330154.15%460318559154240111