Association Québécoise de Hockey Simulé - Xpress 

Xpress

GP: 13 | W: 9 | L: 2 | OTL: 2 | P: 20
GF: 68 | GA: 47 | PP%: 43.14% | PK%: 76.92%
GM : Philippe Boivin | Morale : 90 | Team Overall : 60
Next Games #220 vs Hunters
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Travis BoydX98.00564586846183996273596567718983090680
2Brett HowdenX99.00914867787165655582515973668575090660
3Adam Ruzicka (R)X99.00604590828158536478666158708372090650
4Oliver Wahlstrom (R)X100.00785170837261426430616662698271090640
5Wade AllisonX100.00995179797265725530486271678575090640
6Nils Aman (R)X100.00604588815964825568545571668373090640
7Jacob Peterson (R)X100.00594590855887406130655859688377090630
8Max JonesX99.00825464778064835630526156678575090620
9Connor BrownX100.00524595785684404530405072508983090570
10Jonas Rondbjerg (R)X100.00504590757151404730445067508471090560
11Mikael Pyyhtia (R)X100.00504592804968404730445060508172090540
12Adam BoqvistX98.00574590915278566930746365718275090670
13Sebastien Aho (R)X98.00584587855070866030615971778778090670
14Noah JuulsenX100.00954587766562404530405076508675090630
15Philip Broberg (R)X100.00594594796653565330525368668169090620
16Adam Ginning (R)X100.00504592766569404530405062508374090590
17Jack Rathbone (R)X100.00534592804559405030445660658371090580
Scratches
1Adam Raska (R)X100.00604595795160404556405060508170090550
2Matthew Highmore (R)X100.00504595775854404530405060508775090540
3Austin Poganski (R)X100.00504595766750404530405055508774090530
4Dmytro TimashovX100.00504595766150404530405055508774090530
5Jan Jenik (R)X100.00504590786050404530405061508269090530
6Olle Lycksell (R)X100.00504584804353404730445060508371090530
7Drake CaggiulaX100.00524595795050404530405058508875090530
8Jakub Galvas (R)X100.00504595804050404530405055508471090550
TEAM AVERAGE99.6461468880606252523849556359847409060
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
1Dylan Ferguson (R)100.0070507584707070707070708471090620
2Dylan Wells (R)98.0070506085707070707070708572090620
Scratches
1Robin Lehner100.0070404099656565656565659087090600
TEAM AVERAGE99.337047588968686868686868867709061
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan65656565867768CAN5211,000,000$


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 NamePOS GP 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
1Travis BoydXpress (STJ)RW131318310155191762192720.97%1230323.37591413320001281161.04%77157002.0401010331
2Brett HowdenXpress (STJ)C138162414034393271725.00%926520.4149137310001190163.82%34038001.8101000203
3Adam BoqvistXpress (STJ)D116121824081841181614.63%1928626.03358931000027010.00%01412001.2601000021
4Adam RuzickaXpress (STJ)C1371017700192146162515.22%1024819.1122410240002191265.77%14979001.3701000111
5Adam ErneSt-Johns DesperadosLW1261016216029133652616.67%1025521.272469310000220041.67%12146011.2511000200
6Oliver WahlstromXpress (STJ)RW136612-180221538121815.79%522217.13123120000151060.00%151311001.0801000100
7Nils AmanXpress (STJ)C13371001201419339229.09%419114.7300015000171071.82%11025011.0400000100
8Max JonesXpress (STJ)LW1373107295267175541.18%1023418.02112226000081050.00%454010.8500001010
9Wade AllisonXpress (STJ)RW132681075311331996.45%1020315.68000080000100050.00%1064000.7811001011
10Jacob PetersonXpress (STJ)C13257-3001820334186.06%520615.9200000000000041.18%34106000.6801000001
11Philip BrobergXpress (STJ)D1316772062314437.14%1226920.71112327000026000.00%0312000.5200000000
12Adam GinningXpress (STJ)D130557009138330.00%1225419.56022024000024000.00%0013000.3900000000
13Noah JuulsenXpress (STJ)D111453201620161186.25%2027925.44112328000027100.00%0317000.3600000001
14Jack RathboneXpress (STJ)D13123-30031064216.67%1220215.611011700005100.00%018000.3000000000
15Jonas RondbjergXpress (STJ)RW13112-1009420050.00%0715.4601106000000038.89%1822000.5600000000
16Jakub GalvasXpress (STJ)D12022-400186130.00%517014.230000100002000.00%012000.2300000000
17Mikael PyyhtiaXpress (STJ)LW32023005340350.00%04314.470000100000100.00%000000.9200000010
18Sebastien AhoXpress (STJ)D31014404434233.33%57926.631012600008000.00%012000.2500000000
19Connor BrownXpress (STJ)RW13000-300242000.00%2715.470000000000000.00%201000.0000000000
Team Total or Average22167113180381031527527143013120715.58%162386017.472237596131600062438562.65%771100129030.93280121099
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
1Dylan WellsXpress (STJ)118210.8943.506680039367208100.8758112010
2Dylan FergusonXpress (STJ)11000.9143.00600033517000.000014000
3Robin LehnerXpress (STJ)10010.8285.00600052912000.000017000
Team Total or Average139220.8913.577890047431237100.87581313010


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
Adam BoqvistXpress (STJ)D232000-08-15No182 Lbs6 ft0NoNoNo4RFAPro & Farm2,500,000$0$0$No
Adam GinningXpress (STJ)D232000-01-13Yes196 Lbs6 ft3NoNoNo4RFAPro & Farm850,000$0$0$No
Adam RaskaXpress (STJ)RW222001-09-25Yes178 Lbs5 ft10NoNoNo2RFAPro & Farm850,000$0$0$No
Adam RuzickaXpress (STJ)C241999-05-11Yes215 Lbs6 ft4NoNoNo3RFAPro & Farm1,750,000$0$0$No
Austin PoganskiXpress (STJ)RW271996-02-16Yes198 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$No
Brett HowdenXpress (STJ)C251998-03-29No203 Lbs6 ft2NoNoNo4RFAPro & Farm1,900,000$0$0$No
Connor BrownXpress (STJ)RW291994-01-14No181 Lbs6 ft0NoNoNo3UFAPro & Farm3,000,000$0$0$No
Dmytro TimashovXpress (STJ)RW261996-10-01No198 Lbs5 ft10NoNoNo1RFAPro & Farm700,000$0$0$No
Drake CaggiulaXpress (STJ)LW291994-06-20No176 Lbs5 ft10NoNoNo5UFAPro & Farm700,000$0$0$No
Dylan FergusonXpress (STJ)G251998-09-20Yes194 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$No
Dylan WellsXpress (STJ)G251998-01-03Yes190 Lbs6 ft2NoNoNo3RFAPro & Farm775,000$0$0$No
Jack RathboneXpress (STJ)D241999-05-20Yes177 Lbs5 ft10NoNoNo3RFAPro & Farm850,000$0$0$No
Jacob PetersonXpress (STJ)C241999-07-19Yes180 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$0$0$No
Jakub GalvasXpress (STJ)D241999-06-15Yes161 Lbs5 ft11NoNoNo2RFAPro & Farm870,000$0$0$No
Jan JenikXpress (STJ)C232000-09-15Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm800,000$0$0$No
Jonas RondbjergXpress (STJ)RW241999-03-31Yes203 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$No
Matthew HighmoreXpress (STJ)RW271996-02-27Yes188 Lbs5 ft11NoNoNo1RFAPro & Farm725,000$0$0$No
Max JonesXpress (STJ)LW251998-02-17No216 Lbs6 ft3NoNoNo4RFAPro & Farm1,250,000$0$0$No
Mikael PyyhtiaXpress (STJ)LW212001-12-17Yes166 Lbs6 ft0NoNoNo4RFAPro & Farm850,000$0$0$No
Nils AmanXpress (STJ)C232000-02-07Yes179 Lbs6 ft2NoNoNo4RFAPro & Farm900,000$0$0$No
Noah JuulsenXpress (STJ)D261997-04-02No201 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$No
Oliver WahlstromXpress (STJ)RW232000-06-13Yes204 Lbs6 ft2NoNoNo4RFAPro & Farm1,250,000$0$0$No
Olle LycksellXpress (STJ)RW241999-08-24Yes163 Lbs5 ft10NoNoNo4RFAPro & Farm800,000$0$0$No
Philip BrobergXpress (STJ)D222001-06-25Yes199 Lbs6 ft3NoNoNo2RFAPro & Farm1,000,000$0$0$No
Robin LehnerXpress (STJ)G321991-07-24No250 Lbs6 ft4NoNoNo1UFAPro & Farm5,000,000$0$0$No
Sebastien AhoXpress (STJ)D271996-02-17Yes186 Lbs5 ft10NoNoNo2RFAPro & Farm1,000,000$0$0$No
Travis BoydXpress (STJ)RW301993-09-14No190 Lbs6 ft0NoNoNo5UFAPro & Farm1,000,000$0$0$No
Wade AllisonXpress (STJ)RW251997-10-14No205 Lbs6 ft2NoNoNo3RFAPro & Farm1,500,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.07192 Lbs6 ft12.791,250,714$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max JonesBrett HowdenTravis Boyd35122
2Mikael PyyhtiaAdam RuzickaWade Allison30122
3Jacob PetersonNils AmanOliver Wahlstrom25122
4Travis BoydJacob PetersonConnor Brown10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoAdam Boqvist35122
2Noah JuulsenPhilip Broberg30122
3Adam GinningJack Rathbone25122
4Sebastien AhoAdam Boqvist10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max JonesBrett HowdenTravis Boyd55122
2Mikael PyyhtiaAdam RuzickaWade Allison45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoAdam Boqvist55122
2Noah JuulsenPhilip Broberg45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Travis BoydBrett Howden55122
2Adam RuzickaWade Allison45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoAdam Boqvist55122
2Noah JuulsenPhilip Broberg45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Travis Boyd55122Sebastien AhoAdam Boqvist55122
2Brett Howden45122Noah JuulsenPhilip Broberg45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Travis BoydBrett Howden55122
2Adam RuzickaWade Allison45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastien AhoAdam Boqvist55122
2Noah JuulsenPhilip Broberg45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max JonesBrett HowdenTravis BoydSebastien AhoAdam Boqvist
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max JonesBrett HowdenTravis BoydSebastien AhoAdam Boqvist
Extra Forwards
Normal PowerPlayPenalty Kill
Jonas Rondbjerg, Oliver Wahlstrom, Nils AmanJonas Rondbjerg, Oliver WahlstromNils Aman
Extra Defensemen
Normal PowerPlayPenalty Kill
Adam Ginning, Jack Rathbone, Noah JuulsenAdam GinningJack Rathbone, Noah Juulsen
Penalty Shots
Travis Boyd, Brett Howden, Adam Ruzicka, Wade Allison, Oliver Wahlstrom
Goalie
#1 : Dylan Wells, #2 : Dylan Ferguson


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
1Bandits3200001015961100000021121000010138561.00015243900132924386123154147148442256313430.77%10370.00%017827564.73%16526761.80%14022362.78%259128274121255132
2CoolFm2110000011741010000023-11100000094520.5001119300013292437512315414714763119496466.67%70100.00%017827564.73%16526761.80%14022362.78%259128274121255132
3Goons210001001192110000007431000010045-130.75011193000132924368123154147146424294310440.00%7185.71%017827564.73%16526761.80%14022362.78%259128274121255132
4Husky21000100871210001008710000000000030.7508142200132924367123154147146518856300.00%4250.00%017827564.73%16526761.80%14022362.78%259128274121255132
5Igloos10001000541100010005410000000000021.0005712001329243341231541471427102124375.00%10100.00%017827564.73%16526761.80%14022362.78%259128274121255132
6Smirnoff Ice11000000725000000000001100000072521.000712190013292432912315414714371410159444.44%5260.00%017827564.73%16526761.80%14022362.78%259128274121255132
7Snowbirds1010000045-1000000000001010000045-100.0004610001329243381231541471436142213133.33%110.00%017827564.73%16526761.80%14022362.78%259128274121255132
8Thugs11000000743110000007430000000000021.0007121900132924333123154147144298163266.67%40100.00%017827564.73%16526761.80%14022362.78%259128274121255132
Total137201210684721741011003123863100110372413200.7696811318100132924343012315414714431162103275512243.14%39976.92%017827564.73%16526761.80%14022362.78%259128274121255132
_Since Last GM Reset137201210684721741011003123863100110372413200.7696811318100132924343012315414714431162103275512243.14%39976.92%017827564.73%16526761.80%14022362.78%259128274121255132
_Vs Conference116101210573819631011002419553000110331914180.81857951520013292433591231541471435313993238451942.22%34876.47%017827564.73%16526761.80%14022362.78%259128274121255132
_Vs Division10510121050361463101100241954200011026179160.80050831330013292433301231541471431612583223361541.67%29679.31%017827564.73%16526761.80%14022362.78%259128274121255132

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1320W26811318143043116210327500
All Games
GPWLOTWOTL SOWSOLGFGA
137212106847
Home Games
GPWLOTWOTL SOWSOLGFGA
74111003123
Visitor Games
GPWLOTWOTL SOWSOLGFGA
63101103724
Last 10 Games
WLOTWOTL SOWSOL
621100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
512243.14%39976.92%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
123154147141329243
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17827564.73%16526761.80%14022362.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
259128274121255132


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
2 - 2024-04-0713Husky4Xpress3LXBoxScore
3 - 2024-04-0824Xpress6Bandits5WXXBoxScore
5 - 2024-04-1044Husky3Xpress5WBoxScore
7 - 2024-04-1264CoolFm3Xpress2LBoxScore
9 - 2024-04-1490Xpress7Smirnoff Ice2WBoxScore
10 - 2024-04-1595Thugs4Xpress7WBoxScore
11 - 2024-04-16111Xpress4Goons5LXBoxScore
12 - 2024-04-17127Xpress4Snowbirds5LBoxScore
14 - 2024-04-19141Bandits1Xpress2WBoxScore
15 - 2024-04-20156Xpress9CoolFm4WBoxScore
16 - 2024-04-21169Igloos4Xpress5WXBoxScore
17 - 2024-04-22182Xpress7Bandits3WBoxScore
19 - 2024-04-24202Goons4Xpress7WBoxScore
21 - 2024-04-26220Hunters-Xpress-
23 - 2024-04-28239Xpress-Twins-
24 - 2024-04-29250Grizzlies-Xpress-
25 - 2024-04-30267Xpress-Goons-
27 - 2024-05-02282Wolves-Xpress-
29 - 2024-05-04302Xpress-Saguenéens-
30 - 2024-05-05312Xpress-Wolves-
31 - 2024-05-06323CoolFm-Xpress-
32 - 2024-05-07341Husky-Xpress-
34 - 2024-05-09360Xpress-Vipers-
35 - 2024-05-10374Igloos-Xpress-
37 - 2024-05-12390Xpress-Grizzlies-
38 - 2024-05-13408Barracudas-Xpress-
40 - 2024-05-15427Xpress-Thugs-
41 - 2024-05-16437Marlies-Xpress-
43 - 2024-05-18452Xpress-Marlies-
44 - 2024-05-19467Rockets-Xpress-
46 - 2024-05-21489Xpress-Predateurs-
47 - 2024-05-22499Hunters-Xpress-
48 - 2024-05-23512Xpress-Vandals-
50 - 2024-05-25532Bayou-Xpress-
51 - 2024-05-26551Xpress-Supreme-
52 - 2024-05-27560Xpress-Bandits-
53 - 2024-05-28569Goons-Xpress-
55 - 2024-05-30584Xpress-TigersCats-
57 - 2024-06-01603Supreme-Xpress-
59 - 2024-06-03621Xpress-CoolFm-
60 - 2024-06-04633Vandals-Xpress-
61 - 2024-06-05647Xpress-Rockets-
63 - 2024-06-07664Chiwawa-Xpress-
65 - 2024-06-09688Marmots-Xpress-
66 - 2024-06-10702Xpress-Raptors-
67 - 2024-06-11717Farmers-Xpress-
69 - 2024-06-13736Xpress-Spartans-
70 - 2024-06-14744Xpress-Chiwawa-
71 - 2024-06-15758Vipers-Xpress-
72 - 2024-06-16780Outlaws-Xpress-
73 - 2024-06-17789Xpress-Warriors-
74 - 2024-06-18809Xpress-Barracudas-
75 - 2024-06-19820Warriors-Xpress-
77 - 2024-06-21831Xpress-Husky-
78 - 2024-06-22852Twins-Xpress-
79 - 2024-06-23868Xpress-Scorpions-
81 - 2024-06-25882Xpress-Igloos-
82 - 2024-06-26891Snowbirds-Xpress-
84 - 2024-06-28913Smirnoff Ice-Xpress-
86 - 2024-06-30931Xpress-Outlaws-
87 - 2024-07-01943Bandits-Xpress-
89 - 2024-07-03958Xpress-Hunters-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04970Thugs-Xpress-
92 - 2024-07-06994Scorpions-Xpress-
93 - 2024-07-071005Xpress-Igloos-
95 - 2024-07-091025Xpress-Bayou-
96 - 2024-07-101038TigersCats-Xpress-
98 - 2024-07-121052Xpress-Husky-
99 - 2024-07-131063Predateurs-Xpress-
101 - 2024-07-151087Xpress-Farmers-
103 - 2024-07-171094Spartans-Xpress-
106 - 2024-07-201121Raptors-Xpress-
107 - 2024-07-211140Xpress-Hunters-
108 - 2024-07-221143Xpress-Marmots-
110 - 2024-07-241157Saguenéens-Xpress-
111 - 2024-07-251162Xpress-Marmots-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance13,9426,956
Attendance PCT99.59%99.37%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 2985 - 99.51% 101,539$710,772$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
772,820$ 3,502,000$ 3,502,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 604,671$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,147,705$ 94 39,841$ 3,745,054$




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
45824230042223393043541221502101178155234120150212116114912100339526865116513013811241562692184644247078057014462667126.69%2115872.51%5997160462.16%950153262.01%837135561.77%146076120946831397725
468235230972632029723412114023101631471641149074161571507105320507827157011812116259668191197162238877559515342418234.02%2265774.78%91025163562.69%932157359.25%771129259.67%150178320456941438738
47137201210684721741011003123863100110372413206811318100132924343012315414714431162103275512243.14%39976.92%017827564.73%16526761.80%14022362.78%259128274121255132
Total Regular Season1778455014115872764879894730055113723254788372509647355323322257271146187326148277283305441143019861964120528917171268325555817531.36%47612473.95%142200351462.61%2047337260.71%1748287060.91%322016734414150030921596
Playoff
4523121100000999451257000005052-21174000004942724991532520022364107591842633120785289176359842327.38%622264.52%029651457.59%27846459.91%23939161.13%439243546195395200
Total Playoff23121100000999451257000005052-21174000004942724991532520022364107591842633120785289176359842327.38%622264.52%029651457.59%27846459.91%23939161.13%439243546195395200