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Canadiens
GP: 82 | W: 39 | L: 36 | OTL: 7 | P: 85
GF: 248 | GA: 265 | PP%: 19.85% | PK%: 81.08%
GM : Martin Levesque | Morale : 46 | Team Overall : 64
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Game Center
Canadiens
39-36-7, 85pts
0
FINAL
2 Devils
33-40-9, 75pts
Team Stats
OTL1StreakL1
20-16-5Home Record15-23-3
19-20-2Away Record18-17-6
3-5-2Last 10 Games5-5-0
3.02Goals Per Game3.02
3.23Goals Against Per Game3.40
19.85%Power Play Percentage14.45%
81.08%Penalty Kill Percentage77.89%
Blackhawks
45-30-7, 97pts
3
FINAL
2 Canadiens
39-36-7, 85pts
Team Stats
L1StreakOTL1
22-15-4Home Record20-16-5
23-15-3Away Record19-20-2
6-4-0Last 10 Games3-5-2
3.13Goals Per Game3.02
3.02Goals Against Per Game3.23
20.45%Power Play Percentage19.85%
80.71%Penalty Kill Percentage81.08%
Team Leaders
Goals
Martin Necas
47
Assists
Andrew Copp
55
Points
Martin Necas
91
Plus/Minus
Frank Corrado
6
Wins
Edward Pasquale
21
Save Percentage
Edward Pasquale
0.914

Team Stats
Goals For
248
3.02 GFG
Shots For
2538
30.95 Avg
Power Play Percentage
19.8%
52 GF
Offensive Zone Start
38.6%
Goals Against
265
3.23 GAA
Shots Against
2587
31.55 Avg
Penalty Kill Percentage
81.1%%
42 GA
Defensive Zone Start
38.0%
Team Info

General ManagerMartin Levesque
CoachMichel Therrien
DivisionAtlantique
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,252
Season Tickets2,100


Roster Info

Pro Team38
Farm Team19
Contract Limit57 / 60
Prospects33


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 SPAgeContractSalary
1Andrew Copp (R)X100.0077448876827889716888807663807978737502822,000,000$
2Zach Sanford (R)X100.007545857283688466627573676679775857690281700,000$
3Jake Evans (R)X100.007644827083688469807469782551526438680261750,000$
4Dylan Gambrell (R)X100.007444917183738667807470672558596746670263700,000$
5Nate ThompsonX100.007744967182548466747368652579836454670382700,000$
6Matt MartinX100.009584826085718756585759785986792865650343600,000$
7Frederik Gauthier (R)X100.007388886684616358707166696277735954650283575,000$
8Greg McKegg (R)X100.007570726883738359776061706482745073650303575,000$
9Brian FlynnX100.002614997072637364905753866499994859650342700,000$
10Sheldon Rempal (R)X100.007560837483646662507167695345455974640272750,000$
11Alex Belzile (R)X100.007871776782524961808168605756576345630313750,000$
12Kole Lind (R)X100.007466727183616060507268586944446718610242750,000$
13Quinn Hughes (R)X100.0074418777808692732587737225596063727202332,000,000$
14Travis Sanheim (R)X100.0073438773808492692580717325646564627102721,250,000$
15Yohann Auvitu (R)X100.004120996473645782307578776186752254680333800,000$
16Dennis Cholowski (R)X100.007241917383687165257268662557575757660253600,000$
17Luke Witkowski (R)X100.007959706277717362565955686587844558660331575,000$
18Jalen Chatfield (R)X100.007342866983625763257268602551515718620262750,000$
Scratches
1Martin Necas (R)X95.8974429377818189856783816981677174677502421,500,000$
2Mackenzie MacEachern (R)X100.007545886984546062447368542576716220630292575,000$
3Otto Koivula (R)X100.008284776684587264666158696167665619630241786,666$
4Vladislav Kamenev (R)X100.004725996875646867766458646571687019620262575,000$
5Marc Michaelis (R)X100.005228996871718063566162576372675119620272575,000$
6Iiro Pakarinen (R)X100.006029936178607955505757735581783419610312575,000$
7Carsen Twarynski (R)X100.008128996576717152685554646368656120600251775,833$
8Boris Katchouk (R)X100.007876826176686869504848676244446719580243758,333$
9Paul Cotter (R)X100.007875866375697356703939644844445919540233760,000$
10Cole Schwindt (R)X100.007069726369555749503636584544445219500223855,833$
11Michael Pezzetta (R)X100.007175606475525350633737594544445320500253750,000$
12Frank Corrado (R)X98.075636866673566669306353715489843733640301600,000$
13Alexander Alexeyev (R)X100.008380896880585860253737684844446120590233863,333$
14Dysin Mayo (R)X100.007673826473667245252929623851515220570263950,000$
15Corey Schueneman (R)X100.007973946573646850253232633944445419570273750,000$
16Sean Durzi (R)X100.007168776468626553253434604044445420550243925,000$
TEAM AVERAGE99.79715486687966726253625967506463564063
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 SPAgeContractSalary
1Spencer Knight (R)100.00837380828193959392828163678636820222925,000$
2Edward Pasquale (R)100.00827184818283858483817363783959790322800,000$
Scratches
1Stuart Skinner (R)100.00797594888082808079767567716225780242750,000$
2Cayden Primeau (R)100.00716278754782824352693044446619620233890,000$
TEAM AVERAGE100.0079708482738586757777655965633575
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Michel Therrien88998690999989CAN5931,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Martin NecasCanadiens (MON)RW80474491-104015412732311119214.55%36169921.241616325422811261936349.11%1126621011.0729000990
2Andrew CoppCanadiens (MON)C82295584-15375172254292871709.93%38174221.256192535236112101902248.78%21655428300.9629010464
3Dylan GambrellCanadiens (MON)RW79243054-15120130125250781539.60%31137817.45841233174000053051.32%764524010.7801000542
4Jake EvansCanadiens (MON)C76203454-19535163175213621139.39%33137718.1321012151640113667147.38%14903630000.7802010542
5Quinn HughesCanadiens (MON)D8293039-918016118314160636.38%106197824.13639202610114206110.00%06357100.3900000012
6Nate ThompsonCanadiens (MON)C77182139-175106113198431249.09%24102513.320224320000134053.85%6763514000.7602010323
7Travis SanheimCanadiens (MON)D8263238-1439512414412150584.96%105192523.484610232400003182000.00%03855000.3900010012
8Zach SanfordCanadiens (MON)LW70102333-6511514011488316711.36%39136519.5121012151911017752142.98%1142222000.4827012001
9Yohann AuvituCanadiens (MON)D8272229-20202617117583694.00%91173121.11235141590005136100.00%06349000.3400000001
10Sheldon RempalCanadiens (MON)RW82121527442101118912940969.30%1897411.88000015000040144.44%363718000.5500101041
11Greg McKeggCanadiens (MON)LW82121224-260201518082355114.63%31103812.670001110000553350.88%57159000.4611202302
12Matt MartinCanadiens (MON)LW82111223-16582020512681375513.58%36151918.53336131870001600041.79%67724000.3000013103
13Alex BelzileCanadiens (MON)RW80121022-5215762997245212.37%96317.8900001000052142.31%261412000.7000001121
14Frederik GauthierCanadiens (MON)C7810919060976166244615.15%167249.290111130000272047.33%2811612000.5201000210
15Brian FlynnCanadiens (MON)LW7989171008658625519.30%217299.240000170000101164.86%37619000.4711000011
16Dennis CholowskiCanadiens (MON)D8221113-15120871185938273.39%70133416.27112326000037010.00%02927000.1900000100
17Frank CorradoCanadiens (MON)D6821113618045914121164.88%61104015.3000001000035000.00%0437000.2500000000
18Luke WitkowskiCanadiens (MON)D6311112-1715132793717192.70%64121119.231232100000063000.00%0630000.2012100011
19Christian FolinCanadiensD19145-7260402818875.56%3344023.17123460000042000.00%088000.2300000000
20Jalen ChatfieldCanadiens (MON)D13224240131483425.00%1220415.750000000007000.00%043000.3900000010
21Otto KoivulaCanadiens (MON)LW8011200836130.00%1567.080000000000000.00%103000.3500000000
22Kole LindCanadiens (MON)RW70111206110020.00%0537.700000000000000.00%101000.3700000000
23Mackenzie MacEachernCanadiens (MON)LW7000-1203713290.00%1689.7900000000000050.00%240000.00%00000000
24Alexander AlexeyevCanadiens (MON)D1000100301100.00%31515.380000000000000.00%010000.00%00000000
25Cole SchwindtCanadiens (MON)C4000-200481100.00%0338.4400000000000035.71%1401000.00%00000000
26Paul CotterCanadiens (MON)C11000-30017132040.00%01069.7200000000000034.88%4301000.00%00000000
Team Total or Average1476243399642-1445459521822218253888214519.57%8792440816.5452821342372127347391423341548.69%5198573505420.53935469343726
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
1Edward PasqualeCanadiens (MON)44211430.9142.772409601111293626320.762213739213
2Spencer KnightCanadiens (MON)29101240.8992.9616000079780312100.600102821120
3Stuart SkinnerCanadiens (MON)167900.8654.378110059438182001.00031521001
4Tristan JarryCanadiens21100.8973.031190065821000.00%020000
5Cayden PrimeauCanadiens (MON)10000.7506.6736004168000.00%001000
Team Total or Average92393670.9003.124977602592585114942348282334


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alex BelzileCanadiens (MON)RW311991-08-31 03:56:49Yes196 Lbs6 ft0NoNoNo3Pro & Farm750,000$3,769$0$0$No750,000$750,000$
Alexander AlexeyevCanadiens (MON)D231999-11-15 04:22:39Yes214 Lbs6 ft4NoNoNo3Pro & Farm863,333$4,338$0$0$No863,333$863,333$
Andrew CoppCanadiens (MON)C281994-07-07 19:50:11Yes206 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$10,050$0$0$No2,000,000$
Boris KatchoukCanadiens (MON)LW241998-06-18 04:24:38Yes205 Lbs6 ft2NoNoNo3Pro & Farm758,333$3,811$0$0$No758,333$758,333$
Brian FlynnCanadiens (MON)LW341988-07-26 05:11:13No184 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,518$0$0$No700,000$
Carsen TwarynskiCanadiens (MON)LW251997-11-24 12:30:54Yes198 Lbs6 ft2NoNoNo1Pro & Farm775,833$3,899$0$0$No
Cayden PrimeauCanadiens (MON)G231999-08-11 05:32:15Yes203 Lbs6 ft3NoNoNo3Pro & Farm890,000$4,472$0$0$No890,000$890,000$
Cole SchwindtCanadiens (MON)C222001-04-25 04:28:38Yes183 Lbs6 ft2NoNoNo3Pro & Farm855,833$4,301$0$0$No855,833$855,833$
Corey SchuenemanCanadiens (MON)D271995-09-02 03:12:17Yes196 Lbs6 ft0NoNoNo3Pro & Farm750,000$3,769$0$0$No750,000$750,000$
Dennis CholowskiCanadiens (MON)D251998-02-15 05:39:39Yes197 Lbs6 ft2NoNoNo3Pro & Farm600,000$3,015$0$0$No600,000$600,000$
Dylan GambrellCanadiens (MON)RW261996-08-26 05:44:31Yes195 Lbs6 ft0NoNoNo3Pro & Farm700,000$3,518$0$0$No700,000$700,000$
Dysin MayoCanadiens (MON)D261996-08-17 04:30:51Yes194 Lbs6 ft2NoNoNo3Pro & Farm950,000$4,774$0$0$No950,000$950,000$
Edward PasqualeCanadiens (MON)G321990-11-20 10:54:58Yes215 Lbs6 ft2NoNoNo2Pro & Farm800,000$4,020$0$0$No800,000$
Frank CorradoCanadiens (MON)D301993-03-26 11:11:13Yes193 Lbs6 ft0NoNoNo1Pro & Farm600,000$3,015$0$0$No
Frederik GauthierCanadiens (MON)C281995-04-26 23:11:13Yes239 Lbs6 ft5NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Greg McKeggCanadiens (MON)LW301992-06-17 05:11:13Yes192 Lbs6 ft0NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Iiro PakarinenCanadiens (MON)RW311991-08-25 23:11:13Yes212 Lbs6 ft1NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Jake EvansCanadiens (MON)C261996-06-02 13:20:34Yes183 Lbs6 ft0NoNoNo1Pro & Farm750,000$3,769$0$0$No
Jalen ChatfieldCanadiens (MON)D261996-05-15 13:18:33Yes188 Lbs6 ft1NoNoNo2Pro & Farm750,000$3,769$0$0$No750,000$
Kole LindCanadiens (MON)RW241998-10-16 04:24:15Yes178 Lbs6 ft1NoNoNo2Pro & Farm750,000$3,769$0$0$No750,000$
Luke WitkowskiCanadiens (MON)D331990-04-14 17:11:13Yes210 Lbs6 ft2NoNoNo1Pro & Farm575,000$2,889$0$0$No
Mackenzie MacEachernCanadiens (MON)LW291994-03-09 05:48:53Yes190 Lbs6 ft2NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Marc MichaelisCanadiens (MON)LW271995-07-31 13:33:32Yes187 Lbs5 ft11NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Martin NecasCanadiens (MON)RW241999-01-15 13:36:27Yes189 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$7,538$0$0$No1,500,000$
Matt MartinCanadiens (MON)LW341989-05-08 11:11:13No220 Lbs6 ft3NoNoNo3Pro & Farm600,000$3,015$0$0$No600,000$600,000$
Michael PezzettaCanadiens (MON)LW251998-03-13 10:18:33Yes216 Lbs6 ft1NoNoNo3Pro & Farm750,000$3,769$0$0$No750,000$750,000$
Nate ThompsonCanadiens (MON)C381984-10-05 05:11:13No205 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,518$0$0$No700,000$
Otto KoivulaCanadiens (MON)LW241998-09-01 12:33:12Yes223 Lbs6 ft5NoNoNo1Pro & Farm786,666$3,953$0$0$No
Paul CotterCanadiens (MON)C231999-11-16 04:34:24Yes198 Lbs6 ft0NoNoNo3Pro & Farm760,000$3,819$0$0$No760,000$760,000$
Quinn HughesCanadiens (MON)D231999-10-14 05:46:46Yes170 Lbs5 ft10NoNoNo3Pro & Farm2,000,000$10,050$0$0$No2,000,000$2,000,000$
Sean DurziCanadiens (MON)D241998-10-21 04:36:42Yes194 Lbs6 ft0NoNoNo3Pro & Farm925,000$4,648$0$0$No925,000$925,000$
Sheldon RempalCanadiens (MON)RW271995-08-07 13:23:09Yes165 Lbs5 ft10NoNoNo2Pro & Farm750,000$3,769$0$0$No750,000$
Spencer KnightCanadiens (MON)G222001-04-19 04:27:03Yes192 Lbs6 ft3NoNoNo2Pro & Farm925,000$4,648$0$0$No925,000$
Stuart SkinnerCanadiens (MON)G241998-11-01 04:28:40Yes206 Lbs6 ft4NoNoNo2Pro & Farm750,000$3,769$0$0$No750,000$
Travis SanheimCanadiens (MON)D271996-03-29 13:33:41Yes181 Lbs6 ft3NoNoNo2Pro & Farm1,250,000$6,281$0$0$No1,250,000$
Vladislav KamenevCanadiens (MON)LW261996-08-12 08:30:08Yes194 Lbs6 ft2NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Yohann AuvituCanadiens (MON)D331989-07-27 04:41:27Yes193 Lbs5 ft11NoNoNo3Pro & Farm800,000$4,020$0$0$No800,000$800,000$
Zach SanfordCanadiens (MON)LW281994-11-09 08:34:13Yes207 Lbs6 ft4NoNoNo1Pro & Farm700,000$3,518$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3827.16198 Lbs6 ft12.29828,026$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach SanfordAndrew CoppDylan Gambrell35122
2Matt MartinJake EvansSheldon Rempal35122
3Greg McKeggNate ThompsonAlex Belzile25122
4Brian FlynnFrederik GauthierKole Lind5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesTravis Sanheim35122
2Yohann AuvituDennis Cholowski35122
3Luke WitkowskiJalen Chatfield30122
4Quinn HughesTravis Sanheim0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach SanfordAndrew CoppDylan Gambrell60122
2Matt MartinJake EvansSheldon Rempal40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesTravis Sanheim60122
2Yohann AuvituDennis Cholowski40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew CoppZach Sanford60122
2Jake EvansDylan Gambrell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesTravis Sanheim60122
2Yohann AuvituDennis Cholowski40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andrew Copp60122Quinn HughesTravis Sanheim60122
2Zach Sanford40122Yohann AuvituDennis Cholowski40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andrew CoppZach Sanford60122
2Jake EvansDylan Gambrell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Quinn HughesTravis Sanheim60122
2Yohann AuvituDennis Cholowski40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach SanfordAndrew CoppDylan GambrellQuinn HughesTravis Sanheim
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach SanfordAndrew CoppDylan GambrellQuinn HughesTravis Sanheim
Extra Forwards
Normal PowerPlayPenalty Kill
Nate Thompson, Frederik Gauthier, Greg McKeggNate Thompson, Frederik GauthierGreg McKegg
Extra Defensemen
Normal PowerPlayPenalty Kill
Luke Witkowski, Jalen Chatfield, Yohann AuvituLuke WitkowskiJalen Chatfield, Yohann Auvitu
Penalty Shots
Andrew Copp, Zach Sanford, Jake Evans, Dylan Gambrell, Nate Thompson
Goalie
#1 : Spencer Knight, #2 : Edward Pasquale
Custom OT Lines Forwards
Andrew Copp, Zach Sanford, Jake Evans, Dylan Gambrell, Nate Thompson, Matt Martin, Matt Martin, Frederik Gauthier, Greg McKegg, Brian Flynn, Sheldon Rempal
Custom OT Lines Defensemen
Quinn Hughes, Travis Sanheim, Yohann Auvitu, Dennis Cholowski, Luke Witkowski


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
1Avalanche22000000532110000002111100000032141.0005914005094951364799846863645817259100.00%10100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
2Blackhawks210001005501000010023-11100000032130.750581300509495136279984686364582621566116.67%30100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
3Blues21000010853110000004221000001043141.00081321005094951377799846863647029850500.00%40100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
4Bruins623010001818031200000770311010001111060.500182543005094951318979984686364172624416430930.00%22768.18%01001198350.48%927195447.44%603120650.00%172497418007631458719
5Canucks30200001711-42010000158-31010000023-110.1677121900509495131037998468636410032875600.00%4175.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
6Capitals40200002715-82010000138-52010000147-320.2507142100509495131277998468636413543241191300.00%12283.33%01001198350.48%927195447.44%603120650.00%172497418007631458719
7Devils523000001421-72110000049-5312000001012-240.400142135005094951314779984686364154516013618633.33%10190.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
8Ducks2020000036-31010000013-21010000023-100.000358005094951362799846863646124650400.00%30100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
9Flames22000000743110000004221100000032141.00079160050949513607998468636468271042200.00%5180.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
10Flyers440000001587220000007342200000085381.000152540005094951312179984686364115462910712433.33%12375.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
11Islanders41200010990210000105232020000047-340.5009142300509495131167998468636497312611517317.65%13376.92%01001198350.48%927195447.44%603120650.00%172497418007631458719
12Kings2020000047-31010000034-11010000013-200.0004591050949513637998468636476246375240.00%3166.67%01001198350.48%927195447.44%603120650.00%172497418007631458719
13Maple Leafs6230010023221302001001014-432100000138550.417233659005094951318779984686364184634416217211.76%22481.82%01001198350.48%927195447.44%603120650.00%172497418007631458719
14Oilers21000100871110000004221000010045-130.750813210050949513607998468636468224453133.33%20100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
15Penguins440000001578220000009542200000062481.00015264100509495131187998468636412138161101600.00%80100.00%11001198350.48%927195447.44%603120650.00%172497418007631458719
16Predators422000001213-1220000009542020000038-540.5001220320050949513130799846863641374981136233.33%4175.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
17Rangers401010201082201000104402000101064260.75010132300509495131147998468636411941251147228.57%9188.89%01001198350.48%927195447.44%603120650.00%172497418007631458719
18Red Wings606000001632-1630300000816-830300000816-800.00016274310509495131827998468636422364841492129.52%32778.13%21001198350.48%927195447.44%603120650.00%172497418007631458719
19Sabres631000112418631000011129332100000129390.750243761005094951316479984686364188614814628414.29%24483.33%01001198350.48%927195447.44%603120650.00%172497418007631458719
20Senateurs613020002426-23110100014122302010001014-460.5002440640050949513208799846863641836466190361233.33%23578.26%01001198350.48%927195447.44%603120650.00%172497418007631458719
21Sharks2020000049-51010000025-31010000024-200.0004812005094951359799846863647229261100.00%110.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
22Stars21100000660110000005321010000013-220.500611170050949513627998468636466206404125.00%30100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
23Wild2110000045-11010000013-21100000032120.50048120050949513637998468636462164424125.00%20100.00%01001198350.48%927195447.44%603120650.00%172497418007631458719
Total82303604354248265-1741161601233125130-541142003121123135-12850.5182483996472050949513253879984686364258787955121822625219.85%2224281.08%31001198350.48%927195447.44%603120650.00%172497418007631458719
_Since Last GM Reset82303604354248265-1741161601233125130-541142003121123135-12850.5182483996472050949513253879984686364258787955121822625219.85%2224281.08%31001198350.48%927195447.44%603120650.00%172497418007631458719
_Vs Conference55192404143175184-927911011328389-6281013030119295-3580.5271752784531050949513167379984686364169156446615122154420.47%1873780.21%31001198350.48%927195447.44%603120650.00%172497418007631458719
_Vs Division3081603111105116-111538011115158-71558020005458-4260.4331051652701050949513930799846863649503142868111322921.97%1232778.05%21001198350.48%927195447.44%603120650.00%172497418007631458719

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8285OTL124839964725382587879551218220
All Games
GPWLOTWOTL SOWSOLGFGA
8230364354248265
Home Games
GPWLOTWOTL SOWSOLGFGA
4116161233125130
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4114203121123135
Last 10 Games
WLOTWOTL SOWSOL
350101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2625219.85%2224281.08%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7998468636450949513
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1001198350.48%927195447.44%603120650.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
172497418007631458719


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 - 2022-10-187Sabres2Canadiens5BWBoxScore
4 - 2022-10-2118Canadiens3Senateurs4ALBoxScore
6 - 2022-10-2324Canadiens5Sabres3AWBoxScore
7 - 2022-10-2434Canadiens3Bruins7ALBoxScore
10 - 2022-10-2747Red Wings6Canadiens2BLBoxScore
13 - 2022-10-3063Canadiens4Red Wings6ALBoxScore
15 - 2022-11-0169Maple Leafs6Canadiens4BLBoxScore
17 - 2022-11-0382Canadiens5Maple Leafs1AWBoxScore
20 - 2022-11-0695Senateurs2Canadiens6BWBoxScore
22 - 2022-11-08103Canadiens6Devils4AWBoxScore
25 - 2022-11-11117Bruins3Canadiens2BLBoxScore
30 - 2022-11-16139Islanders1Canadiens2BWXXBoxScore
32 - 2022-11-18152Canadiens3Rangers2AWXXBoxScore
34 - 2022-11-20162Flyers1Canadiens3BWBoxScore
37 - 2022-11-23176Red Wings4Canadiens2BLBoxScore
41 - 2022-11-27193Canadiens1Predators2ALBoxScore
43 - 2022-11-29203Senateurs5Canadiens2BLBoxScore
45 - 2022-12-01211Canadiens3Wild2AWBoxScore
47 - 2022-12-03223Wild3Canadiens1BLBoxScore
51 - 2022-12-07236Canadiens3Avalanche2AWBoxScore
53 - 2022-12-09246Canadiens2Canucks3ALBoxScore
55 - 2022-12-11253Islanders1Canadiens3BWBoxScore
58 - 2022-12-14265Canadiens2Sharks4ALBoxScore
61 - 2022-12-17279Devils1Canadiens3BWBoxScore
64 - 2022-12-20294Canadiens3Flames2AWBoxScore
66 - 2022-12-22302Canadiens4Bruins1AWBoxScore
67 - 2022-12-23308Flyers2Canadiens4BWBoxScore
70 - 2022-12-26324Canadiens2Sabres3ALBoxScore
71 - 2022-12-27332Blues2Canadiens4BWBoxScore
74 - 2022-12-30345Canadiens4Blues3AWXXBoxScore
75 - 2022-12-31355Flames2Canadiens4BWBoxScore
78 - 2023-01-03369Canadiens5Maple Leafs3AWBoxScore
80 - 2023-01-05378Maple Leafs4Canadiens3BLBoxScore
84 - 2023-01-09398Rangers1Canadiens2BWXXBoxScore
87 - 2023-01-12418Sharks5Canadiens2BLBoxScore
89 - 2023-01-14428Canadiens4Oilers5ALXBoxScore
91 - 2023-01-16441Red Wings6Canadiens4BLBoxScore
93 - 2023-01-18451Canadiens1Islanders2ALBoxScore
96 - 2023-01-21465Oilers2Canadiens4BWBoxScore
99 - 2023-01-24484Canadiens1Kings3ALBoxScore
100 - 2023-01-25490Sabres3Canadiens4BWXXBoxScore
103 - 2023-01-28505Canadiens2Predators6ALBoxScore
105 - 2023-01-30512Canadiens3Rangers2AWXBoxScore
106 - 2023-01-31518Stars3Canadiens5BWBoxScore
109 - 2023-02-03537Devils8Canadiens1BLBoxScore
111 - 2023-02-05546Canadiens5Flyers3AWBoxScore
113 - 2023-02-07561Sabres4Canadiens3BLXXBoxScore
114 - 2023-02-08567Canadiens1Stars3ALBoxScore
117 - 2023-02-11583Canadiens2Ducks3ALBoxScore
118 - 2023-02-12590Canadiens3Blackhawks2AWBoxScore
120 - 2023-02-14596Capitals5Canadiens1BLBoxScore
123 - 2023-02-17613Penguins2Canadiens5BWBoxScore
124 - 2023-02-18622Canadiens3Islanders5ALBoxScore
126 - 2023-02-20636Ducks3Canadiens1BLBoxScore
129 - 2023-02-23648Canadiens3Senateurs7ALBoxScore
131 - 2023-02-25658Canadiens2Capitals3ALXXBoxScore
132 - 2023-02-26668Maple Leafs4Canadiens3BLXBoxScore
134 - 2023-02-28680Canadiens3Maple Leafs4ALBoxScore
136 - 2023-03-02691Senateurs5Canadiens6BWXBoxScore
139 - 2023-03-05708Canadiens4Penguins1AWBoxScore
141 - 2023-03-07716Penguins3Canadiens4BWBoxScore
143 - 2023-03-09724Canadiens4Senateurs3AWXBoxScore
145 - 2023-03-11733Canadiens4Bruins3AWXBoxScore
147 - 2023-03-13741Bruins3Canadiens2BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2023-03-16756Canadiens2Penguins1AWBoxScore
152 - 2023-03-18765Rangers3Canadiens2BLBoxScore
155 - 2023-03-21784Capitals3Canadiens2BLXXBoxScore
159 - 2023-03-25806Kings4Canadiens3BLBoxScore
160 - 2023-03-26809Canadiens5Sabres3AWBoxScore
163 - 2023-03-29828Avalanche1Canadiens2BWBoxScore
169 - 2023-04-04850Bruins1Canadiens3BWBoxScore
171 - 2023-04-06865Canadiens2Capitals4ALBoxScore
173 - 2023-04-08876Canucks4Canadiens2BLBoxScore
178 - 2023-04-13894Canadiens3Red Wings5ALBoxScore
179 - 2023-04-14901Canucks4Canadiens3BLXXBoxScore
182 - 2023-04-17917Predators2Canadiens3BWBoxScore
184 - 2023-04-19924Canadiens3Flyers2AWBoxScore
188 - 2023-04-23940Predators3Canadiens6BWBoxScore
189 - 2023-04-24945Canadiens4Devils6ALBoxScore
193 - 2023-04-28962Canadiens1Red Wings5ALBoxScore
194 - 2023-04-29964Canadiens0Devils2ALBoxScore
195 - 2023-04-30971Blackhawks3Canadiens2BLXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance58,87233,467
Attendance PCT71.80%81.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2252 - 75.07% 114,780$4,705,982$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,071,084$ 3,146,499$ 2,117,749$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,812$ 3,076,128$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 20,837$ 20,837$




Canadiens Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Canadiens Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Canadiens Career Team Stats

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

Canadiens Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Canadiens Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA