Association Québécoise de Hockey Simulé - Chiwawa 

Chiwawa

GP: 13 | W: 7 | L: 4 | OTL: 2 | P: 16
GF: 50 | GA: 50 | PP%: 29.55% | PK%: 77.78%
GM : Jean-Nicholas Drouin | Morale : 90 | Team Overall : 59
Next Games #208 vs Raptors
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
1Ondrej PalatX100.00784592856378596430656362699285090670
2Jayson MegnaX100.00654592776550665182495367659380090620
3Devin ShoreX100.00684593777150575381545264668875090620
4Matt Luff (R)X100.00714595796850405330485865668572090590
5William Lockwood (R)X100.00884595795051404730445064508471090560
6Trey Fix-Wolansky (R)X100.00584595775165404730405464658373090550
7Alexander True (R)X100.00504595767650404530405055508673090540
8John Leonard (R)X100.00504592766258404730405460508473090540
9Cal Foote (R)X100.00725461748363605230485576658473090660
10Jacob BrysonX100.00594591824361715230515271658574090630
11Jake Christiansen (R)X100.00654590805763405230545072668372090620
12Zdeno CharaX100.00504595709950404530405055509992090610
13Zac Jones (R)X100.00514590804665405030445661658272090580
14Christian Jaros (R)X100.00504595737850404530405055508774090580
15Andy WelinskiX100.00504595766350404530405055509077090570
16Jimmy Schuldt (R)X100.00504595756550404530405055508875090570
17Jack Ahcan (R)X100.00504595784550404530405055508673090550
Scratches
1Joachim Blichfeld (R)X100.00504595786050404530405055508572090530
2Adam Beckman (R)X100.00504595786153404530405055508169090530
3Bryce Kindopp (R)X100.00504595786150404530405055508471090530
TEAM AVERAGE100.0059459277635546493545526157867509058
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
1Jaroslav Halak100.0078598182797778777976709789090690
2Calvin Petersen100.0070507083707070707070998877090630
Scratches
1Jonas Johansson100.0071506094717171717170708775090630
TEAM AVERAGE100.007353708673737373737280918009065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Hartley65656565977246CAN633800,000$


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
1Jayson MegnaChiwawa (CLE)C137916-220172058202912.07%121916.911348330112181263.27%22655011.4613000201
2Matt LuffChiwawa (CLE)RW1312214200231248182825.00%222317.1722410321013182240.00%15145011.2511000203
3Devin ShoreChiwawa (CLE)C132111346020133512205.71%423618.212468320001160067.01%294118001.1013000012
4Ondrej PalatChiwawa (CLE)LW82791001664012225.00%514317.97022524000070035.71%14141001.2511000011
5John LeonardChiwawa (CLE)LW13538020111731102316.13%522016.96112432000010063.16%1956000.7300000010
6Jacob BrysonChiwawa (CLE)D1325714016253316126.06%2130523.53101533000020000.00%0810000.4600000010
7Cal FooteChiwawa (CLE)D1306621603528271370.00%828622.0100033300002000.00%01111000.4200000000
8William LockwoodChiwawa (CLE)RW9325-1002542781211.11%212413.86213720000000114.29%782000.8000000100
9Adam BeckmanChiwawa (CLE)LW10325-100772251413.64%212512.5600001000020055.56%940000.8001000010
10Zac JonesChiwawa (CLE)D13314-1120710311269.68%1424418.79303510000018100.00%0813010.3301000100
11Christian JarosChiwawa (CLE)D13224-32088124616.67%924618.96112233000017000.00%0310000.3200000000
12Alexander TrueChiwawa (CLE)C13123-600817203145.00%419014.6600002000140044.32%18575000.3100000100
13Bryce KindoppChiwawa (CLE)RW13022-62088132150.00%319014.69000010000100066.67%961000.2100000000
14Trey Fix-WolanskyChiwawa (CLE)RW13112-5201261711175.88%517513.5200005000010042.86%772000.2311000000
15Zdeno CharaChiwawa (CLE)D13112-8204812738.33%1224318.7000002011119000.00%0216000.1601000000
16Jake ChristiansenChiwawa (CLE)D5011120665050.00%67815.7700021100000000.00%037000.2511000000
Team Total or Average1884457101-3242022319543115323310.21%103325617.321314275931112381614558.60%785116102030.62613000757
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
1Jaroslav HalakChiwawa (CLE)126420.8763.687020043346158200.8336121000
2Jonas JohanssonChiwawa (CLE)21000.8734.47940075523000.7147112000
Team Total or Average147420.8753.767970050401181200.769131313000


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 BeckmanChiwawa (CLE)LW222001-05-10Yes182 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$No
Alexander TrueChiwawa (CLE)C261997-07-17Yes200 Lbs6 ft5NoNoNo1RFAPro & Farm750,000$0$0$No
Andy WelinskiChiwawa (CLE)D291993-10-12No201 Lbs6 ft1NoNoNo2UFAPro & Farm700,000$0$0$No
Bryce KindoppChiwawa (CLE)RW241999-06-14Yes185 Lbs6 ft1NoNoNo2RFAPro & Farm800,000$0$0$No
Cal FooteChiwawa (CLE)D241998-12-13Yes224 Lbs6 ft5NoNoNo3RFAPro & Farm900,000$0$0$No
Calvin PetersenChiwawa (CLE)G281994-10-19No185 Lbs6 ft2NoNoNo3UFAPro & Farm1,500,000$0$0$No
Christian JarosChiwawa (CLE)D271996-04-02Yes222 Lbs6 ft3NoNoNo1RFAPro & Farm800,000$0$0$No
Devin ShoreChiwawa (CLE)C291994-07-19No206 Lbs6 ft1NoNoNo1UFAPro & Farm900,000$0$0$No
Jack AhcanChiwawa (CLE)D261997-05-18Yes180 Lbs5 ft9NoNoNo3RFAPro & Farm750,000$0$0$No
Jacob BrysonChiwawa (CLE)D251997-11-18No176 Lbs5 ft9NoNoNo2RFAPro & Farm1,250,000$0$0$No
Jake ChristiansenChiwawa (CLE)D241999-09-12Yes193 Lbs6 ft0NoNoNo2RFAPro & Farm900,000$0$0$No
Jaroslav HalakChiwawa (CLE)G381985-05-13No189 Lbs5 ft11NoNoNo1UFAPro & Farm1,250,000$0$0$No
Jayson MegnaChiwawa (CLE)C331990-02-01No195 Lbs6 ft1NoNoNo3UFAPro & Farm750,000$0$0$No
Jimmy SchuldtChiwawa (CLE)D271995-10-12Yes205 Lbs6 ft1NoNoNo4RFAPro & Farm800,000$0$0$No
Joachim BlichfeldChiwawa (CLE)RW251998-07-17Yes180 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$No
John LeonardChiwawa (CLE)LW251998-08-07Yes196 Lbs5 ft11NoNoNo3RFAPro & Farm750,000$0$0$No
Jonas JohanssonChiwawa (CLE)G281995-09-19No220 Lbs6 ft5NoNoNo1UFAPro & Farm750,000$0$0$No
Matt LuffChiwawa (CLE)RW261997-05-05Yes196 Lbs6 ft2NoNoNo3RFAPro & Farm750,000$0$0$No
Ondrej PalatChiwawa (CLE)LW321991-03-28No194 Lbs6 ft0NoNoNo5UFAPro & Farm2,500,000$0$0$No
Trey Fix-WolanskyChiwawa (CLE)RW241999-05-26Yes191 Lbs5 ft7NoNoNo2RFAPro & Farm850,000$0$0$No
William LockwoodChiwawa (CLE)RW251998-06-20Yes172 Lbs5 ft11NoNoNo3RFAPro & Farm750,000$0$0$No
Zac JonesChiwawa (CLE)D222000-10-18Yes178 Lbs5 ft10NoNoNo3RFAPro & Farm1,000,000$0$0$No
Zdeno CharaChiwawa (CLE)D461977-03-18No250 Lbs6 ft9NoNoNo1UFAPro & Farm3,000,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2327.61197 Lbs6 ft12.261,040,217$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ondrej PalatDevin ShoreMatt Luff30122
2John LeonardJayson MegnaTrey Fix-Wolansky30122
3Alexander True30122
4William Lockwood10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteJacob Bryson35122
2Zac JonesChristian Jaros30122
3Jake ChristiansenZdeno Chara30122
4Cal FooteJacob Bryson5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ondrej PalatDevin ShoreMatt Luff50122
2John LeonardJayson MegnaWilliam Lockwood50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteJacob Bryson50122
2Jake ChristiansenChristian Jaros50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Devin Shore50122
2Jayson MegnaMatt Luff50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Zdeno CharaJacob Bryson50122
2Zac JonesChristian Jaros50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jayson Megna50122Zdeno CharaJacob Bryson50122
2Alexander True50122Zac JonesChristian Jaros50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Devin ShoreOndrej Palat50122
2Jayson MegnaMatt Luff50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cal FooteJacob Bryson50122
2Jake ChristiansenChristian Jaros50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ondrej PalatDevin ShoreTrey Fix-WolanskyCal FooteJacob Bryson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
John LeonardDevin ShoreMatt LuffCal FooteJacob Bryson
Extra Forwards
Normal PowerPlayPenalty Kill
Trey Fix-Wolansky, Alexander True, Trey Fix-Wolansky, Alexander True
Extra Defensemen
Normal PowerPlayPenalty Kill
Zac Jones, Christian Jaros, Zdeno CharaZac JonesJacob Bryson, Zdeno Chara
Penalty Shots
Ondrej Palat, Devin Shore, Jayson Megna, Matt Luff,
Goalie
#1 : , #2 : Jaroslav Halak


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
1Barracudas11000000624000000000001100000062421.00069150062615628111211150171632129333.33%10100.00%019831962.07%15126856.34%13421761.75%300184274110223110
2Raptors2010010068-21010000034-11000010034-110.25069150062615666111211150177431241200.00%10100.00%019831962.07%15126856.34%13421761.75%300184274110223110
3Saguenéens10000010321100000103210000000000021.0003360062615641111211150172690184125.00%000.00%019831962.07%15126856.34%13421761.75%300184274110223110
4Scorpions21100000981110000004221010000056-120.5009152400626156691112111501755814446233.33%7271.43%019831962.07%15126856.34%13421761.75%300184274110223110
5Snowbirds20000020972100000105411000001043141.0009112000626156851112111501757181864300.00%9277.78%119831962.07%15126856.34%13421761.75%300184274110223110
6Spartans22000000963110000005321100000043141.0009142300626156691112111501757216409444.44%30100.00%019831962.07%15126856.34%13421761.75%300184274110223110
7Supreme1010000025-3000000000001010000025-300.0002460062615637111211150174213618000.00%3233.33%019831962.07%15126856.34%13421761.75%300184274110223110
8Thugs20100100612-61010000038-51000010034-110.2506915006261568111121115017742544911327.27%30100.00%019831962.07%15126856.34%13421761.75%300184274110223110
Total1344002305050062200020232307220021027270160.6155074124006261564761112111501740112852286441329.55%27677.78%119831962.07%15126856.34%13421761.75%300184274110223110
_Since Last GM Reset1344002305050062200020232307220021027270160.6155074124006261564761112111501740112852286441329.55%27677.78%119831962.07%15126856.34%13421761.75%300184274110223110
_Vs Conference1344002305050062200020232307220021027270160.6155074124006261564761112111501740112852286441329.55%27677.78%119831962.07%15126856.34%13421761.75%300184274110223110
_Vs Division1234002304448-46220002023230612002102125-4140.5834465109006261564481112111501738512550274351028.57%26676.92%119831962.07%15126856.34%13421761.75%300184274110223110

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1316SOW150741244764011285228600
All Games
GPWLOTWOTL SOWSOLGFGA
134402305050
Home Games
GPWLOTWOTL SOWSOLGFGA
62200202323
Visitor Games
GPWLOTWOTL SOWSOLGFGA
72202102727
Last 10 Games
WLOTWOTL SOWSOL
420130
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
441329.55%27677.78%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11121115017626156
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
19831962.07%15126856.34%13421761.75%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
300184274110223110


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 - 2024-04-069Chiwawa3Thugs4LXBoxScore
2 - 2024-04-0721Thugs8Chiwawa3LBoxScore
4 - 2024-04-0940Raptors4Chiwawa3LBoxScore
6 - 2024-04-1156Chiwawa3Raptors4LXBoxScore
7 - 2024-04-1265Chiwawa6Barracudas2WBoxScore
8 - 2024-04-1374Chiwawa4Spartans3WBoxScore
9 - 2024-04-1492Scorpions2Chiwawa4WBoxScore
11 - 2024-04-16109Chiwawa2Supreme5LBoxScore
12 - 2024-04-17124Saguenéens2Chiwawa3WXXBoxScore
14 - 2024-04-19147Spartans3Chiwawa5WBoxScore
15 - 2024-04-20160Chiwawa4Snowbirds3WXXBoxScore
16 - 2024-04-21168Chiwawa5Scorpions6LBoxScore
18 - 2024-04-23184Snowbirds4Chiwawa5WXXBoxScore
20 - 2024-04-25208Raptors-Chiwawa-
21 - 2024-04-26221Chiwawa-CoolFm-
23 - 2024-04-28237Smirnoff Ice-Chiwawa-
24 - 2024-04-29256Raptors-Chiwawa-
25 - 2024-04-30260Chiwawa-Predateurs-
27 - 2024-05-02283Chiwawa-Igloos-
28 - 2024-05-03295TigersCats-Chiwawa-
30 - 2024-05-05310Chiwawa-Outlaws-
31 - 2024-05-06327Chiwawa-Marlies-
32 - 2024-05-07338Saguenéens-Chiwawa-
34 - 2024-05-09358Bayou-Chiwawa-
35 - 2024-05-10377Chiwawa-Husky-
37 - 2024-05-12391Vandals-Chiwawa-
38 - 2024-05-13406Chiwawa-Bandits-
40 - 2024-05-15422Rockets-Chiwawa-
41 - 2024-05-16436Chiwawa-Supreme-
43 - 2024-05-18450Chiwawa-Vipers-
44 - 2024-05-19463Twins-Chiwawa-
45 - 2024-05-20480Chiwawa-Vandals-
46 - 2024-05-21492Husky-Chiwawa-
48 - 2024-05-23516Marmots-Chiwawa-
49 - 2024-05-24526Chiwawa-Rockets-
51 - 2024-05-26542Hunters-Chiwawa-
52 - 2024-05-27564Chiwawa-Grizzlies-
54 - 2024-05-29578Grizzlies-Chiwawa-
55 - 2024-05-30590Chiwawa-Snowbirds-
57 - 2024-06-01607CoolFm-Chiwawa-
59 - 2024-06-03625Chiwawa-Wolves-
60 - 2024-06-04641Vipers-Chiwawa-
62 - 2024-06-06659Thugs-Chiwawa-
63 - 2024-06-07664Chiwawa-Xpress-
65 - 2024-06-09690Farmers-Chiwawa-
67 - 2024-06-11708Chiwawa-Goons-
68 - 2024-06-12723Chiwawa-Thugs-
69 - 2024-06-13737Chiwawa-Farmers-
70 - 2024-06-14744Xpress-Chiwawa-
71 - 2024-06-15765Snowbirds-Chiwawa-
73 - 2024-06-17786Scorpions-Chiwawa-
74 - 2024-06-18798Chiwawa-Raptors-
75 - 2024-06-19815Chiwawa-Spartans-
76 - 2024-06-20826Chiwawa-TigersCats-
77 - 2024-06-21837Igloos-Chiwawa-
79 - 2024-06-23857Wolves-Chiwawa-
81 - 2024-06-25878Spartans-Chiwawa-
83 - 2024-06-27895Chiwawa-Twins-
84 - 2024-06-28907Chiwawa-Scorpions-
85 - 2024-06-29924Predateurs-Chiwawa-
87 - 2024-07-01939Barracudas-Chiwawa-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04967Outlaws-Chiwawa-
91 - 2024-07-05989Chiwawa-Smirnoff Ice-
92 - 2024-07-06998Goons-Chiwawa-
95 - 2024-07-091022Chiwawa-Marmots-
96 - 2024-07-101032Bandits-Chiwawa-
98 - 2024-07-121055Warriors-Chiwawa-
99 - 2024-07-131059Chiwawa-Saguenéens-
101 - 2024-07-151085Supreme-Chiwawa-
103 - 2024-07-171095Chiwawa-Hunters-
104 - 2024-07-181109Chiwawa-Warriors-
105 - 2024-07-191111Chiwawa-Barracudas-
106 - 2024-07-201130Supreme-Chiwawa-
107 - 2024-07-211136Chiwawa-Saguenéens-
110 - 2024-07-241153Marlies-Chiwawa-
111 - 2024-07-251165Chiwawa-Bayou-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance11,7855,988
Attendance PCT98.21%99.80%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2962 - 98.74% 100,459$602,754$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
523,516$ 2,392,500$ 2,392,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 383,610$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,214,688$ 94 28,252$ 2,655,688$




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
458238310414432930722412014030221631402341181701122166167-197329523852125614012511264369994997750257882657914662467731.30%2035871.43%2965168957.13%946162358.29%754130857.65%145978221336981368680
4682333306433282280241161703122143140341171603311139140-1912824677492148109116142617663921100552241485855415702577328.40%2174678.80%4915169753.92%904165854.52%712129455.02%164595119536971372678
471344002305050062200020232307220021027270165074124006261564761112111501740112852286441329.55%27677.78%119831962.07%15126856.34%13421761.75%300184274110223110
Total Regular Season1777568010710766163724883833061643293032689373504643332334-22046611064172533110275256315736147320812132119539318121185332254716329.80%44711075.39%72078370556.09%2001354956.38%1600281956.76%340519184360150729651468
Playoff
45137600000555507430000028271633000002728-1145590145008133224368416418444341358427038923.68%411075.61%117730258.61%14626954.28%10020947.85%277156258121248119
Total Playoff137600000555507430000028271633000002728-1145590145008133224368416418444341358427038923.68%411075.61%117730258.61%14626954.28%10020947.85%277156258121248119