Wranglers

GP: 8 | W: 4 | L: 4 | OTL: 0 | P: 8
GF: 26 | GA: 30 | PP%: 10.00% | PK%: 73.33%
GM : Martin Thibault | Morale : 50 | Team Overall : 65
Next Games #102 vs Gulls

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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.
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 SP
1Colton Dach0X100.008950766690848265676463626564666850660
2Sheldon Dries0XXX100.007136886467868462646066636272742750640
3John Hayden0XXX100.008079656388818559615758655672735150630
4James Hamblin0X100.005838856467838163656266616467693750630
5Justin Dowling0XX100.006736956668788062756159586076782150630
6Mitchell Stephens0X100.006838886275788558785757665569716250620
7Luke Toporowski0X100.006041735869837757605859565565674250590
8Nick Cicek0X100.007556605684667257305855594766684250610
Scratches
TEAM AVERAGE100.00714779627680816063606061586971445063
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 SP
1Calvin Pickard100.00838276798281838281838276884850790
2Magnus Chrona100.00738177857271737271737266754750720
Scratches
1Riley Mercer100.00687470776766686766686762674550670
TEAM AVERAGE100.0075797480747375747375746877475073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Woods63656869868061CAN5851,000,000$


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
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
Calvin PickardG341992-04-15No206 Lbs6 ft1NoNoNo1UFAPro & Farm2,000,000$0$0$NoLink / NHL Link
Colton DachLW232003-01-04No218 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
James HamblinLW271999-04-27No185 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
John HaydenC/LW/RW311995-02-14No223 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Justin DowlingC/LW361990-10-01No178 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Luke ToporowskiLW252001-04-12No183 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Magnus ChronaG262000-08-28No194 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Mitchell StephensC291997-02-05No203 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Nick CicekD262000-05-29No201 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Riley MercerG222004-03-31No200 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Sheldon DriesC/LW/RW321994-04-23No182 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1128.27198 Lbs6 ft11.27527,273$



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 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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
88L1265177297362986520400
All Games
GPWLOTWOTL SOWSOLGFGA
83410002630
Home Games
GPWLOTWOTL SOWSOLGFGA
41210001716
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4220000914
Last 10 Games
WLOTWOTL SOWSOL
341000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20210.00%30873.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
10286106312671
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11022548.89%13030143.19%5812745.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
153103233589341


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 - 2026-10-166Canucks2Wranglers4WBoxScore
10 - 2026-10-1824Canucks4Wranglers3LBoxScore
13 - 2026-10-2131Wranglers0Firebirds5LBoxScore
15 - 2026-10-2342Wranglers4Silver Knights3WBoxScore
16 - 2026-10-2453Wranglers0Silver Knights3LBoxScore
19 - 2026-10-2765Wranglers5Condors3WBoxScore
22 - 2026-10-3079Eagles4Wranglers5WXBoxScore
24 - 2026-11-0196Eagles6Wranglers5LBoxScore
26 - 2026-11-03102Gulls-Wranglers-
28 - 2026-11-05111Gulls-Wranglers-
33 - 2026-11-10139Condors-Wranglers-
34 - 2026-11-11145Condors-Wranglers-
37 - 2026-11-14166Silver Knights-Wranglers-
38 - 2026-11-15171Silver Knights-Wranglers-
44 - 2026-11-21213Wranglers-Barracuda-
45 - 2026-11-22219Wranglers-Barracuda-
48 - 2026-11-25225Wranglers-Gulls-
50 - 2026-11-27237Wranglers-Roadrunners-
51 - 2026-11-28252Wranglers-Roadrunners-
57 - 2026-12-04274Wranglers-Moose-
59 - 2026-12-06294Wranglers-Moose-
64 - 2026-12-11316Roadrunners-Wranglers-
65 - 2026-12-12328Roadrunners-Wranglers-
68 - 2026-12-15342Moose-Wranglers-
69 - 2026-12-16349Moose-Wranglers-
72 - 2026-12-19372Wranglers-Firebirds-
73 - 2026-12-20379Wranglers-Firebirds-
76 - 2026-12-23395Wranglers-Reign-
78 - 2026-12-25406Silver Knights-Wranglers-
80 - 2026-12-27424Silver Knights-Wranglers-
88 - 2027-01-04457Canucks-Wranglers-
90 - 2027-01-06467Canucks-Wranglers-
92 - 2027-01-08478Moose-Wranglers-
94 - 2027-01-10499Moose-Wranglers-
99 - 2027-01-15518Wranglers-Eagles-
100 - 2027-01-16533Wranglers-Eagles-
103 - 2027-01-19543Roadrunners-Wranglers-
104 - 2027-01-20553Roadrunners-Wranglers-
107 - 2027-01-23576Wranglers-Gulls-
108 - 2027-01-24586Wranglers-Reign-
110 - 2027-01-26591Wranglers-Reign-
114 - 2027-01-30626Gulls-Wranglers-
115 - 2027-01-31627Gulls-Wranglers-
120 - 2027-02-05659Wranglers-Canucks-
121 - 2027-02-06675Wranglers-Canucks-
127 - 2027-02-12688Wranglers-Silver Knights-
128 - 2027-02-13702Wranglers-Silver Knights-
135 - 2027-02-20738Reign-Wranglers-
137 - 2027-02-22755Reign-Wranglers-
142 - 2027-02-27790Wranglers-Firebirds-
143 - 2027-02-28799Wranglers-Reign-
146 - 2027-03-03811Wranglers-Gulls-
148 - 2027-03-05822Canucks-Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06835Canucks-Wranglers-
152 - 2027-03-09847Firebirds-Wranglers-
153 - 2027-03-10855Firebirds-Wranglers-
156 - 2027-03-13870Wranglers-Moose-
157 - 2027-03-14885Wranglers-Moose-
163 - 2027-03-20924Wranglers-Canucks-
164 - 2027-03-21933Wranglers-Canucks-
169 - 2027-03-26956Firebirds-Wranglers-
171 - 2027-03-28971Firebirds-Wranglers-
176 - 2027-04-02998Wranglers-Condors-
177 - 2027-04-031014Wranglers-Gulls-
180 - 2027-04-061027Wranglers-Roadrunners-
181 - 2027-04-071035Wranglers-Roadrunners-
184 - 2027-04-101050Reign-Wranglers-
186 - 2027-04-121071Reign-Wranglers-
190 - 2027-04-161089Wranglers-Canucks-
191 - 2027-04-171105Wranglers-Canucks-
197 - 2027-04-231123Barracuda-Wranglers-
199 - 2027-04-251152Barracuda-Wranglers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance7,6313,899
Attendance PCT95.39%97.48%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2883 - 96.08% 71,626$286,502$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
127,608$ 58,000$ 58,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 6,984$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,292,016$ 175 5,317$ 930,475$




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
2072164801511219381-16236122001300128171-43364280021191210-11942219422641100887356252708318428493650102461516372394016.74%2686276.87%2846206440.99%992264037.58%449121936.83%13098962224506803350
21834010002630-4412010001716142200000914-582651770012671297102861063362986520420210.00%30873.33%011022548.89%13030143.19%5812745.67%153103233589341
Total Regular Season89436642703731161729503075-125446181210020169101504146440448185217017157714461611-165886295050508000185712119594075130006102985798769977312088717949117003409559114.43%396676080.84%26142152753251.63%134792971545.36%67121374148.85%199921447924095610598274615
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