Wranglers

GP: 25 | W: 8 | L: 13 | OTL: 4 | P: 20
GF: 70 | GA: 82 | PP%: 15.66% | PK%: 83.93%
GM : Kevin Parisien | Morale : 75 | Team Overall : 61
Next Games #404 vs Monsters

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 SP
1Byron Froese0XX100.00703882637382866268615964607375075640
2Jeff Malott0X100.00754270648490866165636265616870075640
3Sheldon Rempal98X100.00563783646789876562636661646971075640
4Lucas Condotta (R)0X100.00723976628174875961586457626769075630
5Zack Bolduc (R)0X100.00623787657283736467616360656164075630
6Mike Vecchione0XX100.00633887626982856064626163627173075630
7Garrett Wilson0XX100.00787250598785845760585756597378075620
8Kyle Rau0X100.00553689616482815966635755587274075610
9Elliot Desnoyers (R)0X100.00693691596982855761585565566264075610
10William Dufour (R)0X100.00724078598586835755565859546364075610
11Samu Tuomaala (R)0X100.00583695626781726165635956606163075610
12Evan Polei0X100.00807268578972765658545559546870075600
13Brett Harrison (R)0X100.00683795597774685764605456556163075600
14Xavier Bourgault (R)0X100.00603889586980825660585756596264075600
15Max Lajoie0X100.00683977637677836230645861506769075630
16Dennis Cholowski0X100.00673893638280866230605559486668075620
17Gustav Olofsson0X100.00683889618076735730605864497072075620
18Steven Kampfer0X100.00633978617277795830635456477681075620
19Cam Dineen (R)29X100.00613792627080845830635456476668075610
Scratches
1Cameron Hebig (R)0XXX100.00603885586982835665595753556769075600
2Jan Mysak (R)0X100.00563790596778795862535754556264075590
3Ross Johnston0X100.00788557569672755561545157537170075590
4Travis Barron0X100.00694463577872825458555659546668075590
5Danil Zhilkin (R)0X100.00673984567677675559535457586163075580
6Trevor Kuntar (R)0X100.00664461567585725461555657546365075580
7Joseph Duszak (R)0X100.00564070626571705830655655496769075600
8Daniil Chayka (R)0X100.00723992558164825430535256456264075590
TEAM AVERAGE100.0066438060767980585459575855666907561
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
1Matt Tomkins (R)100.0077767185767577767577767084075670
2Magnus Chrona (R)100.0074777385737274737274736471075650
Scratches
1Kyle Keyser (R)100.0064757176636264636264636573075590
TEAM AVERAGE100.007276728271707271707271667607564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Reirden74707371797470USA5321,000,000$


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
1Zack BolducWranglers (CGY)C25714211005717723519.09%542216.9233613400000140149.71%50900000.9900000101
2Mike VecchioneWranglers (CGY)C/RW25101121520145360115116.67%643517.411451550000061048.24%17000000.9600000112
3Sheldon RempalWranglers (CGY)RW2561016-16008449523646.32%257222.8921328740111552046.15%6500000.5601000002
4Garrett WilsonWranglers (CGY)LW/RW258715-12151101752163015.38%449119.6523511710000160148.78%4100000.6100100111
5Dennis CholowskiWranglers (CGY)D255914-940341842131311.90%4461024.432131878000046000.00%000000.4600000010
6Gustav OlofssonWranglers (CGY)D2521113-38032343523205.71%3453421.360331469101142000.00%000000.4900000100
7Jeff MalottWranglers (CGY)LW256713-19275935710423885.77%1561824.7611220740112493046.67%21000000.4201010101
8Elliot DesnoyersWranglers (CGY)LW25751240092241144317.07%125510.2400000000000157.14%2100000.9400000110
9Byron FroeseWranglers (CGY)C/RW254812-1510026826820745.88%853421.3914517770000241051.04%72100000.4500000011
10William DufourWranglers (CGY)RW256612080262953183511.32%338015.22000830000001057.14%3500000.6300000002
11Max LajoieWranglers (CGY)D2321012-912061313913245.13%4356324.511341970000136010.00%000000.4300000100
12Steven KampferWranglers (CGY)D252810-11003424227219.09%3252220.91000867000039000.00%000000.3800000000
13Samu TuomaalaWranglers (CGY)RW251910-2602730268263.85%2035514.2300000000000133.33%600000.5600000010
14Lucas CondottaWranglers (CGY)C2316718039394519272.22%933414.54000519000090044.58%41500000.4200000000
15Cam DineenWranglers (CGY)D25156-560293313677.69%2938315.3400006000017000.00%000000.3100000000
16Kyle RauWranglers (CGY)LW2514504067189135.56%31485.9600000000010050.00%400000.6700000000
17Xavier BourgaultWranglers (CGY)RW23112-30086103110.00%1843.6900000000000036.36%1100000.4700000001
18Evan PoleiWranglers (CGY)LW22000-360445210.00%0331.50000000001110050.00%2200000.0000000000
19Daniil ChaykaWranglers (CGY)D1000220410000.00%21717.930000000001000.00%000000.0000000000
20Brett HarrisonWranglers (CGY)LW19000000111010.00%0100.5500000000000033.33%300000.0000000000
21Joseph DuszakWranglers (CGY)D9000-2201673100.00%613314.790000000001000.00%000000.0000000000
Team Total or Average47070131201-75136105866108092525908.65%267744515.8413233617673112363748548.72%223300000.54021107611
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
1Matt TomkinsWranglers (CGY)2581340.9083.13151501798570020.0002250140
Team Total or Average2581340.9083.13151501798570020.0002250140


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
Brett HarrisonLW212003-06-07Yes182 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$No
Byron FroeseC/RW331991-03-12No195 Lbs6 ft0NoNoNo1UFAPro & Farm821,000$0$0$NoLink / NHL Link
Cam Dineen (1 Way Contract)D261998-06-19Yes188 Lbs5 ft11NoNoNo1RFAPro & Farm1,100,000$1,100,000$774,490$NoLink / NHL Link
Cameron HebigC/LW/RW271997-01-21Yes184 Lbs5 ft11NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Daniil ChaykaD212002-10-22Yes187 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Danil ZhilkinC202003-12-19Yes192 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$No
Dennis Cholowski (1 Way Contract)D261998-02-15No210 Lbs6 ft2NoNoNo1RFAPro & Farm1,275,000$1,275,000$897,704$NoLink / NHL Link
Elliot DesnoyersLW222002-01-21Yes183 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Evan PoleiLW281996-02-19No270 Lbs6 ft2NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Garrett WilsonLW/RW331991-03-16No218 Lbs6 ft3NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Gustav Olofsson (1 Way Contract)D291994-12-01No199 Lbs6 ft2NoNoNo2UFAPro & Farm1,100,000$1,100,000$774,490$NoLink / NHL Link
Jan MysakC222002-06-04Yes175 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jeff MalottLW281996-08-07No201 Lbs6 ft3NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Joseph DuszakD271997-07-22Yes176 Lbs5 ft9NoNoNo3RFAPro & Farm950,000$0$0$NoLink
Kyle KeyserG251999-03-08Yes178 Lbs6 ft2NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Kyle RauLW311992-10-24No171 Lbs5 ft9NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Lucas CondottaC271997-06-19Yes217 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Magnus ChronaG242000-08-28Yes194 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$No
Matt TomkinsG301994-06-19Yes191 Lbs6 ft4NoNoNo3UFAPro & Farm950,000$0$0$NoLink
Max LajoieD261997-11-05No191 Lbs6 ft1NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Mike VecchioneC/RW311993-02-25No193 Lbs5 ft10NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Ross JohnstonLW301994-02-18No234 Lbs6 ft5NoNoNo2UFAPro & Farm920,100$0$0$NoLink / NHL Link
Samu TuomaalaRW212003-01-08Yes174 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$No
Sheldon RempalRW291995-08-07No173 Lbs5 ft11NoNoNo2UFAPro & Farm867,800$0$0$NoLink / NHL Link
Steven KampferD361988-09-24No198 Lbs5 ft11NoNoNo2UFAPro & Farm950,000$0$0$NoLink / NHL Link
Travis BarronLW251998-11-17No205 Lbs6 ft1NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Trevor KuntarC232001-06-20Yes205 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$No
William DufourRW222002-01-28Yes215 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Xavier BourgaultRW212002-10-22Yes172 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Zack BolducC212003-02-24Yes187 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3026.17195 Lbs6 ft12.17902,797$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jeff MalottByron FroeseSheldon Rempal40122
2Garrett WilsonZack BolducMike Vecchione30122
3Elliot DesnoyersLucas CondottaWilliam Dufour20122
4Kyle RauJeff MalottSamu Tuomaala10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Max LajoieDennis Cholowski40122
2Gustav OlofssonSteven Kampfer30122
3Cam DineenSamu Tuomaala20122
4Max LajoieDennis Cholowski10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jeff MalottByron FroeseSheldon Rempal60122
2Garrett WilsonZack BolducMike Vecchione40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Max LajoieDennis Cholowski60122
2Gustav OlofssonSteven Kampfer40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jeff MalottSheldon Rempal60122
2Byron FroeseZack Bolduc40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Max LajoieDennis Cholowski60122
2Gustav OlofssonSteven Kampfer40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jeff Malott60122Max LajoieDennis Cholowski60122
2Sheldon Rempal40122Gustav OlofssonSteven Kampfer40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jeff MalottSheldon Rempal60122
2Byron FroeseZack Bolduc40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Max LajoieDennis Cholowski60122
2Gustav OlofssonSteven Kampfer40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jeff MalottByron FroeseSheldon RempalMax LajoieDennis Cholowski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jeff MalottByron FroeseSheldon RempalMax LajoieDennis Cholowski
Extra Forwards
Normal PowerPlayPenalty Kill
Xavier Bourgault, Brett Harrison, Evan PoleiXavier Bourgault, Brett HarrisonEvan Polei
Extra Defensemen
Normal PowerPlayPenalty Kill
Max Lajoie, Gustav Olofsson, Steven KampferDennis CholowskiGustav Olofsson, Steven Kampfer
Penalty Shots
Jeff Malott, Sheldon Rempal, Byron Froese, Zack Bolduc, Mike Vecchione
Goalie
#1 : Matt Tomkins, #2 : Magnus Chrona
Custom OT Lines Forwards
Jeff Malott, Sheldon Rempal, Byron Froese, Zack Bolduc, Xavier Bourgault, Mike Vecchione, Mike Vecchione, Garrett Wilson, William Dufour, Samu Tuomaala, Elliot Desnoyers
Custom OT Lines Defensemen
Max Lajoie, Dennis Cholowski, Gustav Olofsson, Steven Kampfer, Cam Dineen


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
2520W17013120180985926713658621
All Games
GPWLOTWOTL SOWSOLGFGA
2551333017082
Home Games
GPWLOTWOTL SOWSOLGFGA
122820003239
Visitor Games
GPWLOTWOTL SOWSOLGFGA
133513013843
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
831315.66%56983.93%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
270288236172331133
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
40987846.58%48292352.22%19740249.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
576393615192326160


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
6 - 2024-10-099Wranglers4Comets5LXBoxScore
9 - 2024-10-1235Phantoms2Wranglers0LBoxScore
10 - 2024-10-1340Wranglers3Condors4LXBoxScore
12 - 2024-10-1555IceHogs4Wranglers2LBoxScore
16 - 2024-10-1987Wranglers1Firebirds2LBoxScore
19 - 2024-10-22102Penguins3Wranglers4WBoxScore
21 - 2024-10-24114Wolves4Wranglers2LBoxScore
23 - 2024-10-26129Moose3Wranglers2LBoxScore
25 - 2024-10-28147Wranglers2Silver Knights0WBoxScore
27 - 2024-10-30158Wranglers4Roadrunners5LXXBoxScore
29 - 2024-11-01173Devils2Wranglers0LBoxScore
31 - 2024-11-03190Condors1Wranglers4WBoxScore
33 - 2024-11-05196Wranglers6Rocket4WBoxScore
35 - 2024-11-07208Wranglers0Bruins2LBoxScore
37 - 2024-11-09224Wranglers4Americans1WBoxScore
39 - 2024-11-11242Reign6Wranglers5LBoxScore
40 - 2024-11-12250Wranglers1Comets4LBoxScore
43 - 2024-11-15269Admirals3Wranglers4WXBoxScore
47 - 2024-11-19299Sound Tigers4Wranglers2LBoxScore
49 - 2024-11-21314Wolf Pack4Wranglers3LBoxScore
51 - 2024-11-23319Wild3Wranglers4WXBoxScore
53 - 2024-11-25340Wranglers1Senators3LBoxScore
55 - 2024-11-27350Wranglers4Griffins5LBoxScore
57 - 2024-11-29368Wranglers4Monsters5LXBoxScore
58 - 2024-11-30380Wranglers4Penguins3WXBoxScore
61 - 2024-12-03404Monsters-Wranglers-
63 - 2024-12-05417Thunderbirds-Wranglers-
66 - 2024-12-08442Wranglers-Stars-
68 - 2024-12-10451Wranglers-Admirals-
70 - 2024-12-12470Crunch-Wranglers-
72 - 2024-12-14485Checkers-Wranglers-
75 - 2024-12-17504Bruins-Wranglers-
77 - 2024-12-19517Senators-Wranglers-
79 - 2024-12-21529IceHogs-Wranglers-
86 - 2024-12-28576Wranglers-Barracuda-
87 - 2024-12-29584Wranglers-Silver Knights-
89 - 2024-12-31600Comets-Wranglers-
91 - 2025-01-02611Roadrunners-Wranglers-
93 - 2025-01-04627Admirals-Wranglers-
96 - 2025-01-07648Wranglers-Gulls-
97 - 2025-01-08653Wranglers-Reign-
100 - 2025-01-11681Reign-Wranglers-
102 - 2025-01-13690Wranglers-IceHogs-
103 - 2025-01-14700Wranglers-Thunderbirds-
105 - 2025-01-16713Wranglers-Thunderbirds-
107 - 2025-01-18730Wranglers-Moose-
112 - 2025-01-23767Americans-Wranglers-
114 - 2025-01-25784Wranglers-Wild-
115 - 2025-01-26791Wranglers-Moose-
117 - 2025-01-28804Bears-Wranglers-
119 - 2025-01-30818Gulls-Wranglers-
121 - 2025-02-01834Griffins-Wranglers-
122 - 2025-02-02843Wranglers-Firebirds-
124 - 2025-02-04853Marlies-Wranglers-
126 - 2025-02-06868Eagles-Wranglers-
128 - 2025-02-08887Firebirds-Wranglers-
143 - 2025-02-23914Barracuda-Wranglers-
145 - 2025-02-25923Wranglers-Bears-
147 - 2025-02-27936Wranglers-Crunch-
149 - 2025-03-01951Wranglers-Checkers-
150 - 2025-03-02963Wranglers-Wolves-
152 - 2025-03-04977Wranglers-Phantoms-
154 - 2025-03-06994Wranglers-Stars-
156 - 2025-03-081008Rocket-Wranglers-
160 - 2025-03-121037Comets-Wranglers-
162 - 2025-03-141052Eagles-Wranglers-
165 - 2025-03-171076Wranglers-Marlies-
166 - 2025-03-181079Wranglers-Wolf Pack-
168 - 2025-03-201090Wranglers-Devils-
170 - 2025-03-221108Wranglers-Sound Tigers-
173 - 2025-03-251137Firebirds-Wranglers-
175 - 2025-03-271150Stars-Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
177 - 2025-03-291167Wranglers-Condors-
179 - 2025-03-311180Wranglers-Eagles-
180 - 2025-04-011188Wranglers-Roadrunners-
182 - 2025-04-031203Gulls-Wranglers-
184 - 2025-04-051220Silver Knights-Wranglers-
186 - 2025-04-071234Wranglers-Barracuda-
188 - 2025-04-091249Wranglers-Gulls-
190 - 2025-04-111264Wild-Wranglers-
192 - 2025-04-131283Barracuda-Wranglers-
194 - 2025-04-151299Silver Knights-Wranglers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance23,62811,933
Attendance PCT98.45%99.44%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-2 2963 - 98.78% 80,177$962,120$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
992,998$ 2,360,890$ 2,360,890$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 697,082$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-160,353$ 138 17,147$ 2,366,286$




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
202282284505211291338-4741132104210143166-2341152401001148172-24712915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
202382244305802279346-6741142002500142169-2741102303302137177-406827951679552106937562980101897197228338699553021132635119.39%2335875.11%21337296445.11%1428325343.90%619141343.81%1873131320535951026500
202425513033017082-121228020003239-71335013013843-5207013120121233113380927028823617859267136586831315.66%56983.93%140987846.58%48292352.22%19740249.00%576393615192326160
Total Regular Season169954584809087577249506034-108484928840205247293125512969-41885025744603840284123993065-666154349508531134815248337147316471375508353174155731750314103569041742015478387864460104323.39%4905123374.86%79230764489651.40%233874680949.96%130492580150.58%355082053739984164832983214849
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