Association Québécoise de Hockey Simulé - Barracudas 

Barracudas

GP: 29 | W: 16 | L: 11 | OTL: 2 | P: 34
GF: 81 | GA: 70 | PP%: 9.09% | PK%: 71.29%
GM : Maxime Guillemette | Morale : 90 | Team Overall : 56
Next Games #470 vs Bandits
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
1Blake ComeauX100.00914577806775785774526278679486090690
2Troy BrouwerX100.00784984747850404730405556509481090560
3Mark LetestuX100.00504595765953404530405068509583090550
4Justin ShuggX100.00504595785650404530405055508774090530
5Mark McNeillX100.00504595747650404530405055508572090530
6Jean-Sebastien DeaX100.00504595804750404530405058508673090530
7Remi ElieX100.00504595747550404530405055508370090530
8Zack MitchellX100.00504595766550404530405055508572090530
9Jack Rodewald (R)X100.00504595776450404530405055508471090530
10Christoph BertschyX100.00504595785450404530405055508471090520
11Curtis ValkX100.00504595804450404530405055508572090520
12Brendan GuhleX100.00614586816471425930516670688273090650
13Trevor van RiemsdykX100.00554589796162695230525367668877090630
14Fredrik ClaessonX100.00524595776160405130455770658775090610
15Andrey PedanX100.00504595747750404530405055508572090570
16Jake DotchinX100.00504595747250404530405055508472090570
17Conor Timmins (R)X100.00504595785850404530405058508168090560
Scratches
1Scott KosmachukX100.00504595785650404530405055508471090520
2Taylor LeierX100.00504595785350404530405055508471090520
3Ryan LombergX100.00504595775350404530405055508471090520
4Victor AntipinX100.00504595794650404530405055508673090550
TEAM AVERAGE100.0054459377615343473242525953867409056
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
1Alex Lyon100.0070506087707070707070718775090620
2Jeff Glass100.0065404089656565656565659278090590
Scratches
1Roman Will100.0065404085656565656565658676090580
2Jean-Francois Berube100.0065404081656565656565658675090570
TEAM AVERAGE100.006643458666666666666667887609059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Hynes65767570808080CAN4533,000,000$


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
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
Alex LyonBarracudas (SJR)G271992-12-09No201 Lbs6 ft1NoNoNo3RFAPro & Farm1,000,000$0$0$No
Andrey PedanBarracudas (SJR)D261993-10-12No213 Lbs6 ft5NoNoNo5RFAPro & Farm700,000$0$0$No
Blake ComeauBarracudas (SJR)RW341986-02-18No200 Lbs6 ft1NoNoNo1UFAPro & Farm2,800,000$0$0$No
Brendan GuhleBarracudas (SJR)D231997-07-29No197 Lbs6 ft2NoNoNo3RFAPro & Farm1,200,000$0$0$No
Christoph BertschyBarracudas (SJR)C251994-10-12No185 Lbs5 ft10NoNoNo5RFAPro & Farm700,000$0$0$No
Conor TimminsBarracudas (SJR)D221998-09-18Yes185 Lbs6 ft2NoNoNo3RFAPro & Farm1,000,000$0$0$No
Curtis ValkBarracudas (SJR)C261993-10-12No170 Lbs5 ft9NoNoNo1RFAPro & Farm1,200,000$0$0$No
Fredrik ClaessonBarracudas (SJR)D271992-11-24No196 Lbs6 ft1NoNoNo3RFAPro & Farm1,000,000$0$0$No
Jack RodewaldBarracudas (SJR)RW251994-10-12Yes189 Lbs6 ft2NoNoNo1RFAPro & Farm1,200,000$0$0$No
Jake DotchinBarracudas (SJR)D251994-10-12No210 Lbs6 ft3NoNoNo3RFAPro & Farm1,000,000$0$0$No
Jean-Francois BerubeBarracudas (SJR)G281991-10-12No177 Lbs6 ft1NoNoNo5UFAPro & Farm700,000$0$0$No
Jean-Sebastien DeaBarracudas (SJR)C261994-02-08No168 Lbs5 ft11NoNoNo5RFAPro & Farm700,000$0$0$No
Jeff GlassBarracudas (SJR)G341985-10-12No206 Lbs6 ft3NoNoNo1UFAPro & Farm1,000,000$0$0$No
Justin ShuggBarracudas (SJR)RW281991-10-12No185 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$0$0$No
Mark LetestuBarracudas (SJR)LW351985-02-04No195 Lbs5 ft10NoNoNo5UFAPro & Farm700,000$0$0$NoNHL Link
Mark McNeillBarracudas (SJR)RW261993-10-12No214 Lbs6 ft2NoNoNo5RFAPro & Farm700,000$0$0$No
Remi ElieBarracudas (SJR)LW241995-10-12No215 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$No
Roman WillBarracudas (SJR)G271992-10-12No195 Lbs6 ft1NoNoNo5RFAPro & Farm700,000$0$0$No
Ryan LombergBarracudas (SJR)LW251994-10-12No187 Lbs5 ft9NoNoNo1RFAPro & Farm1,300,000$0$0$No
Scott KosmachukBarracudas (SJR)LW251994-10-12No185 Lbs5 ft11NoNoNo5RFAPro & Farm700,000$0$0$No
Taylor LeierBarracudas (SJR)LW251994-10-12No180 Lbs5 ft11NoNoNo5RFAPro & Farm700,000$0$0$No
Trevor van RiemsdykBarracudas (SJR)D291991-07-24No192 Lbs6 ft2NoNoNo3UFAPro & Farm2,000,000$0$0$No
Troy BrouwerBarracudas (SJR)LW351985-08-17No213 Lbs6 ft3NoNoNo2UFAPro & Farm1,000,000$0$0$No
Victor AntipinBarracudas (SJR)D271992-10-12No175 Lbs5 ft11NoNoNo1RFAPro & Farm1,200,000$0$0$No
Zack MitchellBarracudas (SJR)RW261993-10-12No196 Lbs6 ft1NoNoNo4RFAPro & Farm1,000,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2527.20193 Lbs6 ft13.121,018,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
230122
325122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
230122
325122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15512255122
24512245122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Grizzlies1010000045-11010000045-10000000000000.000461000262626320188204195133281312400.00%4250.00%023042054.76%25144556.40%24640361.04%948745445177358186
2Husky1010000046-21010000046-20000000000000.00048120026262632618820419513321112144250.00%6433.33%023042054.76%25144556.40%24640361.04%948745445177358186
3Igloos11000000514000000000001100000051421.0005914002626263251882041951317941111100.00%20100.00%023042054.76%25144556.40%24640361.04%948745445177358186
4Marmots1000010012-11000010012-10000000000010.50012300262626316188204195131721013300.00%5180.00%023042054.76%25144556.40%24640361.04%948745445177358186
5Predateurs320000101257210000107431100000051461.0001220320026262636418820419513651826319222.22%80100.00%123042054.76%25144556.40%24640361.04%948745445177358186
6Raptors1010000003-31010000003-30000000000000.00000000262626315188204195133018614100.00%30100.00%023042054.76%25144556.40%24640361.04%948745445177358186
7Rockets211000006601010000023-11100000043120.50061117002626263441882041951338184124600.00%8275.00%023042054.76%25144556.40%24640361.04%948745445177358186
8Saguenéens1010000035-2000000000001010000035-200.000369002626263191882041951324161410200.00%7357.14%023042054.76%25144556.40%24640361.04%948745445177358186
9Scorpions32001000734210010004221100000031261.00071421002626263581882041951359182250400.00%10280.00%023042054.76%25144556.40%24640361.04%948745445177358186
10Sioux11000000321110000003210000000000021.0003580026262631618820419513231068000.00%3166.67%023042054.76%25144556.40%24640361.04%948745445177358186
11Smirnoff Ice1010000014-3000000000001010000014-300.00012300262626319188204195132111209200.00%50100.00%023042054.76%25144556.40%24640361.04%948745445177358186
12Spartans21001000514210010005140000000000041.000591401262626339188204195133712822200.00%4175.00%023042054.76%25144556.40%24640361.04%948745445177358186
13Supreme1010000023-1000000000001010000023-100.00024600262626328188204195131151013100.00%5260.00%023042054.76%25144556.40%24640361.04%948745445177358186
14Thugs1000010012-1000000000001000010012-110.500123002626263261882041951313729400.00%10100.00%023042054.76%25144556.40%24640361.04%948745445177358186
Total291311022108170111666021104136513750010040346340.58681149230012626263598188204195136272243063336669.09%1012971.29%123042054.76%25144556.40%24640361.04%948745445177358186
16Twins4310000014951100000031232100000118360.750142539002626263811882041951398332948800.00%12375.00%023042054.76%25144556.40%24640361.04%948745445177358186
17Vandals21100000642211000006420000000000020.5006121800262626342188204195133368135120.00%3166.67%023042054.76%25144556.40%24640361.04%948745445177358186
18Vipers3120000079-21010000023-12110000056-120.333714210026262636018820419513772275321000.00%15753.33%023042054.76%25144556.40%24640361.04%948745445177358186
_Since Last GM Reset291311022108170111666021104136513750010040346340.58681149230012626263598188204195136272243063336669.09%1012971.29%123042054.76%25144556.40%24640361.04%948745445177358186
_Vs Conference21107021105744131153020102718910540010030264270.64357106163012626263432188204195134471552002424636.52%681972.06%123042054.76%25144556.40%24640361.04%948745445177358186
_Vs Division12740001039271263200010181266420000021156160.667397111000262626324718820419513273791381243239.38%381171.05%123042054.76%25144556.40%24640361.04%948745445177358186

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2934L18114923059862722430633301
All Games
GPWLOTWOTL SOWSOLGFGA
29131122108170
Home Games
GPWLOTWOTL SOWSOLGFGA
166621104136
Visitor Games
GPWLOTWOTL SOWSOLGFGA
137501004034
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
6669.09%1012971.29%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
188204195132626263
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23042054.76%25144556.40%24640361.04%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
948745445177358186


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 - 2020-09-279Predateurs3Barracudas4WXXBoxScore
3 - 2020-09-2931Barracudas3Twins1WBoxScore
4 - 2020-09-3034Vandals3Barracudas1LBoxScore
6 - 2020-10-0266Vipers3Barracudas2LBoxScore
7 - 2020-10-0376Barracudas1Vipers4LBoxScore
8 - 2020-10-0488Barracudas5Twins3WBoxScore
9 - 2020-10-05107Vandals1Barracudas5WBoxScore
11 - 2020-10-07126Barracudas3Saguenéens5LBoxScore
12 - 2020-10-08135Raptors3Barracudas0LBoxScore
14 - 2020-10-10156Spartans0Barracudas3WBoxScore
16 - 2020-10-12179Barracudas1Thugs2LXBoxScore
17 - 2020-10-13191Predateurs1Barracudas3WBoxScore
18 - 2020-10-14206Barracudas5Predateurs1WBoxScore
19 - 2020-10-15217Twins1Barracudas3WBoxScore
21 - 2020-10-17241Scorpions1Barracudas2WXBoxScore
22 - 2020-10-18260Barracudas2Supreme3LBoxScore
23 - 2020-10-19269Barracudas3Twins4LBoxScore
24 - 2020-10-20278Spartans1Barracudas2WXBoxScore
26 - 2020-10-22300Barracudas4Vipers2WBoxScore
27 - 2020-10-23308Scorpions1Barracudas2WBoxScore
28 - 2020-10-24330Sioux2Barracudas3WBoxScore
30 - 2020-10-26351Barracudas3Scorpions1WBoxScore
31 - 2020-10-27360Grizzlies5Barracudas4LBoxScore
32 - 2020-10-28379Barracudas1Smirnoff Ice4LBoxScore
33 - 2020-10-29388Rockets3Barracudas2LBoxScore
34 - 2020-10-30399Barracudas4Rockets3WBoxScore
36 - 2020-11-01421Marmots2Barracudas1LXBoxScore
37 - 2020-11-02439Barracudas5Igloos1WBoxScore
38 - 2020-11-03450Husky6Barracudas4LBoxScore
40 - 2020-11-05470Barracudas-Bandits-
41 - 2020-11-06478Barracudas-Warriors-
42 - 2020-11-07489Igloos-Barracudas-
44 - 2020-11-09513Outlaws-Barracudas-
45 - 2020-11-10522Barracudas-Grizzlies-
46 - 2020-11-11543Saguenéens-Barracudas-
47 - 2020-11-12555Barracudas-Husky-
48 - 2020-11-13571Vipers-Barracudas-
50 - 2020-11-15579Barracudas-Chiwawa-
51 - 2020-11-16600Barracudas-Sioux-
52 - 2020-11-17608Thugs-Barracudas-
53 - 2020-11-18623Barracudas-Xpress-
54 - 2020-11-19638Warriors-Barracudas-
56 - 2020-11-21661Barracudas-Wolves-
57 - 2020-11-22666Bayou-Barracudas-
58 - 2020-11-23686Barracudas-Raptors-
59 - 2020-11-24696Wolves-Barracudas-
60 - 2020-11-25717Bandits-Barracudas-
62 - 2020-11-27734Barracudas-Marmots-
63 - 2020-11-28746Barracudas-Twins-
64 - 2020-11-29757Supreme-Barracudas-
66 - 2020-12-01773Barracudas-Vandals-
67 - 2020-12-02789Twins-Barracudas-
68 - 2020-12-03803Barracudas-Bayou-
69 - 2020-12-04816Raptors-Barracudas-
71 - 2020-12-06842Hammerhead-Barracudas-
72 - 2020-12-07850Barracudas-CoolFm-
73 - 2020-12-08870Xpress-Barracudas-
75 - 2020-12-10891Barracudas-Hunters-
76 - 2020-12-11906Chiwawa-Barracudas-
77 - 2020-12-12921Barracudas-Goons-
78 - 2020-12-13933Vandals-Barracudas-
79 - 2020-12-14950Barracudas-Bayou-
81 - 2020-12-16963Chiwawa-Barracudas-
82 - 2020-12-17982Barracudas-Saguenéens-
83 - 2020-12-18993Supreme-Barracudas-
84 - 2020-12-191003Barracudas-Outlaws-
85 - 2020-12-201018Barracudas-Vandals-
86 - 2020-12-211026Vandals-Barracudas-
87 - 2020-12-221041Barracudas-Thugs-
89 - 2020-12-241057Farmers-Barracudas-
90 - 2020-12-251070Barracudas-Spartans-
91 - 2020-12-261087Predateurs-Barracudas-
93 - 2020-12-281101Barracudas-Farmers-
94 - 2020-12-291116Barracudas-Predateurs-
Trade Deadline --- Trades can’t be done after this day is simulated!
95 - 2020-12-301125Hunters-Barracudas-
96 - 2020-12-311145Barracudas-Outlaws-
97 - 2021-01-011152Barracudas-Hammerhead-
98 - 2021-01-021161CoolFm-Barracudas-
100 - 2021-01-041181Barracudas-Vipers-
102 - 2021-01-061190Goons-Barracudas-
103 - 2021-01-071200Barracudas-Wolves-
106 - 2021-01-101215Smirnoff Ice-Barracudas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance31,97815,862
Attendance PCT99.93%99.14%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
25 2990 - 99.67% 97,546$1,560,735$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,879,269$ 2,545,000$ 2,335,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 833,395$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,438,648$ 71 50,872$ 3,611,912$




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
402913110221081701116660211041365137500100403463481149230012626263598188204195136272243063336669.09%1012971.29%123042054.76%25144556.40%24640361.04%948745445177358186
Total Regular Season2913110221081701116660211041365137500100403463481149230012626263598188204195136272243063336669.09%1012971.29%123042054.76%25144556.40%24640361.04%948745445177358186