Association Québécoise de Hockey Simulé - Predateurs 

Predateurs

GP: 24 | W: 8 | L: 12 | OTL: 4 | P: 20
GF: 92 | GA: 110 | PP%: 25.61% | PK%: 76.70%
GM : Jean-François Allaire | Morale : 90 | Team Overall : 61
Next Games #379 vs Marlies
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
1Nick RitchieX100.00994875779068895930546455778778090650
2Lukas SedlakX100.00904584796861405676545867679079090640
3Brandon DuhaimeX100.00995772797054625330426480668573090630
4Liam O'BrienX100.00996939777457685330525469668876090620
5Zack MacEwen (R)X100.00996963777458685230495656678675090600
6Jonah Gadjovich (R)X100.00997250777450425330495763668471090590
7Vitali Kravtsov (R)X100.00604589806556535230475766668371090590
8Justin DanforthX100.00534590795567405130445866659080090580
9Elliot Desnoyers (R)X100.00564595785567404530405074508171090560
10Anthony Angello (R)X100.00504595748150404530405055508774090540
11Chad RuhwedelX100.00904585785461575030475379509281090650
12Billy SweezeyX100.00914883756671404730445083508778090650
13Nathan BeaulieuX100.00676075776563634830465079509079090650
14Radim SimekX100.00924877756361534830445379509079090650
15Markus NutivaaraX100.00504595775650404530405055508976090560
Scratches
1Curtis LazarX100.00994883766760594982435574508877090640
2Dryden Hunt (R)X100.00995177776250454830405755508774090570
3Zach BogosianX100.00994570747662565030475361509281090650
TEAM AVERAGE100.0083527877685953503546556858887609061
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
1Magnus Hellberg100.0070537091707070707070709182090640
2Dustin Tokarski100.0070506386707070707070709381090630
Scratches
TEAM AVERAGE100.007052678970707070707070928209064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Bouchard65656565847872CAN5032,000,000$


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
1Lukas SedlakPredateurs (COL)C2472128-140263368174210.29%238416.03391214440112521161.10%4011911001.4600000130
2Nick RitchiePredateurs (COL)LW24161026-11803224139417111.51%943318.0852727682024630251.43%354217011.2001000412
3Zack MacEwenPredateurs (COL)RW2412820-1411521865233818.46%132413.526391346000121033.33%21148011.2300102101
4Curtis LazarPredateurs (COL)C179716-140242931152629.03%1131218.401454412025410168.62%2901312001.0200000112
5Liam O'BrienPredateurs (COL)C245813-2631552325815288.62%933413.930002100001100142.93%389178000.7800201020
6Jonah GadjovichPredateurs (COL)LW236612-13915281351163411.76%532314.08000040001211060.00%2099000.7400021200
7Brandon DuhaimePredateurs (COL)LW224812-7952817489308.33%430313.77134643000171035.00%201811000.7900010012
8Justin DanforthPredateurs (COL)C248311-64041171272311.27%727811.6100003011241043.61%133198000.7900000002
9Nikita ZaitsevColorado ZipperD233710-18019355717205.26%2854623.752241166000374000.00%01132000.3700000100
10Vitali KravtsovPredateurs (COL)RW24369-30011224313276.98%629512.33000111000000041.18%17165000.6101000101
11Nathan BastianColorado ZipperRW7459-4001482291518.18%212718.252249230000100030.77%26107001.4100000220
12Radim SimekPredateurs (COL)D24178117521253423172.94%2047919.99011549000156000.00%01129000.3300001111
13Billy SweezeyPredateurs (COL)D24077-9155153522460.00%2739616.5200003000029000.00%0030000.3500001000
14Elliot DesnoyersPredateurs (COL)LW24527-8008935111814.29%427111.30000011011101033.33%378000.5200000101
15Nathan BeaulieuPredateurs (COL)D24156-1221017172118144.76%2547819.95011351011050000.00%0522000.2500002000
16Zach BogosianPredateurs (COL)D8033-16012911560.00%917421.76011225000014000.00%057000.3400000001
17Austin WatsonColorado ZipperLW11120003170414.29%02222.85000020000000100.00%100001.7500000100
18Chad RuhwedelPredateurs (COL)D24112-11751922181095.56%1736015.01101110000010100.00%0623000.1100100000
19Anthony AngelloPredateurs (COL)C2000-300002010.00%22914.760001500000009.52%2110000.0000000000
20Dryden HuntPredateurs (COL)LW1000000000000.00%044.200000000000000.00%010000.0000000000
Team Total or Average36886115201-602577535435080327342910.71%188588215.9821284999515538224617553.16%1377224247020.6802438161113
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
1Dustin TokarskiPredateurs (COL)126410.8863.955920039343180101.0003919001
2Magnus HellbergPredateurs (COL)162830.8504.978580071473239000.0000155000
Team Total or Average2881240.8654.55145000110816419101.00032424001


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
Anthony AngelloPredateurs (COL)C271996-03-06Yes210 Lbs6 ft5NoNoNo1RFAPro & Farm800,000$0$0$No
Billy SweezeyPredateurs (COL)D271996-02-06No206 Lbs6 ft1NoNoNo4RFAPro & Farm4,500,000$0$0$No
Brandon DuhaimePredateurs (COL)LW261997-05-22No200 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$No
Chad RuhwedelPredateurs (COL)D331990-05-07No191 Lbs5 ft11NoNoNo4UFAPro & Farm850,000$0$0$No
Curtis LazarPredateurs (COL)C281995-02-02No203 Lbs6 ft0NoNoNo4UFAPro & Farm950,000$0$0$No
Dryden HuntPredateurs (COL)LW271995-11-24Yes193 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$0$0$No
Dustin TokarskiPredateurs (COL)G341989-09-16No198 Lbs6 ft0NoNoNo2UFAPro & Farm950,000$0$0$No
Elliot DesnoyersPredateurs (COL)LW212002-01-21Yes183 Lbs5 ft11NoNoNo4RFAPro & Farm775,000$0$0$No
Jonah GadjovichPredateurs (COL)LW241998-10-12Yes209 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$No
Justin DanforthPredateurs (COL)C301993-03-15No190 Lbs5 ft9NoNoNo2UFAPro & Farm850,000$0$0$No
Liam O'BrienPredateurs (COL)C291994-07-29No213 Lbs6 ft1NoNoNo2UFAPro & Farm700,000$0$0$No
Lukas SedlakPredateurs (COL)C301993-02-25No205 Lbs6 ft0NoNoNo4UFAPro & Farm4,000,000$0$0$No
Magnus HellbergPredateurs (COL)G321991-04-04No220 Lbs6 ft6NoNoNo4UFAPro & Farm4,500,000$0$0$No
Markus NutivaaraPredateurs (COL)D291994-06-06No187 Lbs6 ft1NoNoNo2UFAPro & Farm700,000$0$0$No
Nathan BeaulieuPredateurs (COL)D301992-12-05No200 Lbs6 ft2NoNoNo2UFAPro & Farm900,000$0$0$No
Nick RitchiePredateurs (COL)LW271995-12-05No236 Lbs6 ft3NoNoNo5RFAPro & Farm750,000$0$0$No
Radim SimekPredateurs (COL)D311992-09-20No204 Lbs6 ft0NoNoNo4UFAPro & Farm4,600,000$0$0$No
Vitali KravtsovPredateurs (COL)RW231999-12-23Yes186 Lbs6 ft3NoNoNo3RFAPro & Farm1,300,000$0$0$No
Zach BogosianPredateurs (COL)D331990-07-15No222 Lbs6 ft2NoNoNo1UFAPro & Farm950,000$0$0$No
Zack MacEwenPredateurs (COL)RW271996-07-08Yes205 Lbs6 ft3NoNoNo4RFAPro & Farm800,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2028.40203 Lbs6 ft12.951,576,250$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick RitchieAnthony Angello25122
2Brandon DuhaimeLukas SedlakZack MacEwen25122
3Jonah GadjovichLiam O'BrienVitali Kravtsov25122
4Elliot DesnoyersJustin Danforth25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
2Radim SimekNathan Beaulieu33122
3Chad RuhwedelBilly Sweezey32122
40122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick RitchieAnthony Angello50122
2Brandon DuhaimeLukas SedlakZack MacEwen50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
150122
2Radim SimekNathan Beaulieu50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nick Ritchie50122
2Lukas Sedlak50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
150122
2Radim SimekNathan Beaulieu50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15012250122
2Nick Ritchie50122Radim SimekNathan Beaulieu50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nick Ritchie50122
2Lukas Sedlak50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
150122
2Radim SimekNathan Beaulieu50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick Ritchie
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nick Ritchie
Extra Forwards
Normal PowerPlayPenalty Kill
Liam O'Brien, Vitali Kravtsov, Jonah GadjovichLiam O'Brien, Vitali KravtsovJonah Gadjovich
Extra Defensemen
Normal PowerPlayPenalty Kill
Chad Ruhwedel, Billy Sweezey, Radim SimekChad RuhwedelBilly Sweezey, Radim Simek
Penalty Shots
Vitali Kravtsov, Nick Ritchie, Liam O'Brien, Lukas Sedlak, Brandon Duhaime
Goalie
#1 : Dustin Tokarski, #2 : Magnus Hellberg


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
1Barracudas2010010058-31000010034-11010000024-210.2505712001727471522592783274451627199333.33%11190.91%029958351.29%27852652.85%23641656.73%477280581208394188
2Bayou303000001021-111010000045-120200000616-1000.00010192900172747110525927832741163359549222.22%17852.94%229958351.29%27852652.85%23641656.73%477280581208394188
3Chiwawa1010000026-41010000026-40000000000000.00023500172747145259278327443111513100.00%5180.00%029958351.29%27852652.85%23641656.73%477280581208394188
4Farmers11000000431000000000001100000043121.00047110017274714125927832744117825100.00%40100.00%029958351.29%27852652.85%23641656.73%477280581208394188
5Marmots11000000734110000007340000000000021.000713200017274714925927832744286236350.00%30100.00%029958351.29%27852652.85%23641656.73%477280581208394188
6Outlaws301002001015-520100100610-41000010045-120.3331016260017274719125927832749916345013323.08%7357.14%129958351.29%27852652.85%23641656.73%477280581208394188
7Raptors11000000541000000000001100000054121.0005914001727471452592783274371015194125.00%5180.00%029958351.29%27852652.85%23641656.73%477280581208394188
8Saguenéens1010000034-1000000000001010000034-100.00035800172747136259278327448198143133.33%40100.00%029958351.29%27852652.85%23641656.73%477280581208394188
9Spartans1010000036-3000000000001010000036-300.0003470017274713425927832743691219100.00%6350.00%029958351.29%27852652.85%23641656.73%477280581208394188
10Supreme1010000034-11010000034-10000000000000.0003690017274714225927832742931222400.00%6183.33%029958351.29%27852652.85%23641656.73%477280581208394188
11Thugs10000010541000000000001000001054121.000561100172747142259278327437101116200.00%3166.67%129958351.29%27852652.85%23641656.73%477280581208394188
Total247120041092110-181126003003745-81356001105565-10200.417921532450017274718652592783274816238296421822125.61%1032476.70%529958351.29%27852652.85%23641656.73%477280581208394188
13Twins2020000079-21010000023-11010000056-100.00071017001727471782592783274542416349222.22%8187.50%029958351.29%27852652.85%23641656.73%477280581208394188
14Vandals32100000141311010000034-122000000119240.6671424380017274711112592783274973120708337.50%10280.00%129958351.29%27852652.85%23641656.73%477280581208394188
15Vipers2100010010821000010034-11100000074330.750101626001727471722592783274722236289222.22%8187.50%029958351.29%27852652.85%23641656.73%477280581208394188
16Wolves11000000422110000004220000000000021.000481200172747122259278327420917153133.33%6183.33%029958351.29%27852652.85%23641656.73%477280581208394188
_Since Last GM Reset247120041092110-181126003003745-81356001105565-10200.417921532450017274718652592783274816238296421822125.61%1032476.70%529958351.29%27852652.85%23641656.73%477280581208394188
_Vs Conference225120041081104-231016003003042-121246001105162-11160.364811332140017274717752592783274733213282373751824.00%962475.00%529958351.29%27852652.85%23641656.73%477280581208394188
_Vs Division1648004006076-16814003002532-7834001003544-9120.375601001600017274715312592783274503151209270601626.67%671774.63%429958351.29%27852652.85%23641656.73%477280581208394188

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2420W29215324586581623829642100
All Games
GPWLOTWOTL SOWSOLGFGA
24712041092110
Home Games
GPWLOTWOTL SOWSOLGFGA
112603003745
Visitor Games
GPWLOTWOTL SOWSOLGFGA
135601105565
Last 10 Games
WLOTWOTL SOWSOL
450010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
822125.61%1032476.70%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
25927832741727471
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
29958351.29%27852652.85%23641656.73%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
477280581208394188


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2024-04-0611Predateurs2Barracudas4LBoxScore
2 - 2024-04-0717Vipers4Predateurs3LXBoxScore
3 - 2024-04-0822Predateurs5Vandals4WBoxScore
6 - 2024-04-1154Vandals4Predateurs3LBoxScore
8 - 2024-04-1372Predateurs4Outlaws5LXBoxScore
9 - 2024-04-1486Barracudas4Predateurs3LXBoxScore
10 - 2024-04-15102Predateurs5Twins6LBoxScore
12 - 2024-04-17118Outlaws5Predateurs4LXBoxScore
13 - 2024-04-18133Twins3Predateurs2LBoxScore
15 - 2024-04-20153Predateurs7Vipers4WBoxScore
16 - 2024-04-21161Predateurs3Bayou10LBoxScore
17 - 2024-04-22181Wolves2Predateurs4WBoxScore
19 - 2024-04-24198Supreme4Predateurs3LBoxScore
21 - 2024-04-26219Bayou5Predateurs4LBoxScore
22 - 2024-04-27227Predateurs6Vandals5WBoxScore
23 - 2024-04-28246Predateurs3Bayou6LBoxScore
25 - 2024-04-30260Chiwawa6Predateurs2LBoxScore
26 - 2024-05-01274Predateurs3Saguenéens4LBoxScore
27 - 2024-05-02288Predateurs4Farmers3WBoxScore
29 - 2024-05-04304Outlaws5Predateurs2LBoxScore
30 - 2024-05-05320Predateurs5Thugs4WXXBoxScore
32 - 2024-05-07335Predateurs3Spartans6LBoxScore
33 - 2024-05-08348Marmots3Predateurs7WBoxScore
34 - 2024-05-09365Predateurs5Raptors4WBoxScore
36 - 2024-05-11379Marlies-Predateurs-
37 - 2024-05-12394Husky-Predateurs-
39 - 2024-05-14412Thugs-Predateurs-
41 - 2024-05-16432Predateurs-Marmots-
42 - 2024-05-17445Predateurs-Warriors-
43 - 2024-05-18458Twins-Predateurs-
45 - 2024-05-20474Predateurs-Scorpions-
46 - 2024-05-21489Xpress-Predateurs-
47 - 2024-05-22508Warriors-Predateurs-
49 - 2024-05-24521Predateurs-TigersCats-
50 - 2024-05-25538Rockets-Predateurs-
51 - 2024-05-26552Predateurs-Barracudas-
53 - 2024-05-28566Scorpions-Predateurs-
55 - 2024-05-30586Predateurs-Goons-
56 - 2024-05-31599Goons-Predateurs-
58 - 2024-06-02616Predateurs-Husky-
59 - 2024-06-03628Predateurs-Vandals-
61 - 2024-06-05644Spartans-Predateurs-
62 - 2024-06-06662Bayou-Predateurs-
64 - 2024-06-08679Predateurs-Twins-
65 - 2024-06-09694Bandits-Predateurs-
66 - 2024-06-10707Predateurs-Bandits-
67 - 2024-06-11718Predateurs-Wolves-
69 - 2024-06-13734Grizzlies-Predateurs-
70 - 2024-06-14753Farmers-Predateurs-
72 - 2024-06-16771Predateurs-Vipers-
73 - 2024-06-17783Raptors-Predateurs-
74 - 2024-06-18802Predateurs-Hunters-
75 - 2024-06-19818CoolFm-Predateurs-
77 - 2024-06-21832Predateurs-Grizzlies-
78 - 2024-06-22844Predateurs-Supreme-
79 - 2024-06-23859Saguenéens-Predateurs-
81 - 2024-06-25877Wolves-Predateurs-
83 - 2024-06-27893Predateurs-Rockets-
84 - 2024-06-28909TigersCats-Predateurs-
85 - 2024-06-29924Predateurs-Chiwawa-
87 - 2024-07-01942Smirnoff Ice-Predateurs-
88 - 2024-07-02954Predateurs-CoolFm-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04977Snowbirds-Predateurs-
92 - 2024-07-06995Hunters-Predateurs-
93 - 2024-07-071008Predateurs-Snowbirds-
95 - 2024-07-091026Vipers-Predateurs-
97 - 2024-07-111045Predateurs-Outlaws-
98 - 2024-07-121057Barracudas-Predateurs-
99 - 2024-07-131063Predateurs-Xpress-
100 - 2024-07-141077Predateurs-Igloos-
101 - 2024-07-151084Predateurs-Smirnoff Ice-
104 - 2024-07-181104Igloos-Predateurs-
106 - 2024-07-201127Predateurs-Marlies-
107 - 2024-07-211132Supreme-Predateurs-
110 - 2024-07-241158Predateurs-Wolves-
112 - 2024-07-261178Vandals-Predateurs-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance21,93010,967
Attendance PCT99.68%99.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
27 2991 - 99.69% 101,679$1,118,466$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,642,854$ 3,152,500$ 3,152,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,023,389$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,745,326$ 78 45,597$ 3,556,566$




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
458249210621340331390412310052011931573641261101012210156541174037031106107716215710294174910781102232354750171311552608934.23%3699075.61%16863181847.47%811175846.13%701153445.70%1798117219426551214577
4682244701244296358-6241152200211150167-174192501033146191-4564296468764003712213292538678870978342505837140714872507128.40%4429279.19%11820166949.13%928187349.55%710137351.71%160393020427141319618
47247120041092110-181126003003745-81356001105565-1020921532450017274718652592783274816238296421822125.61%1032476.70%529958351.29%27852652.85%23641656.73%477280581208394188
Total Regular Season18880800786779178110934038057123803691195404202155411412-1201791132421151013131133620634416862226240761567518253416306359218130.57%91420677.46%321982407048.70%2017415748.52%1647332349.56%387923834565157929281384
Playoff
45624000001922-3321000001311230300000611-54193453000612119945628481657273702229.09%24770.83%05911551.30%6010656.60%479052.22%163116118448644
Total Playoff624000001922-3321000001311230300000611-54193453000612119945628481657273702229.09%24770.83%05911551.30%6010656.60%479052.22%163116118448644