Canadiens
GP: 82 | W: 23 | L: 47 | T: 8 | P: 58
GF: 223 | GA: 297 | PP%: 16.00% | PK%: 78.69%
DG: Sébastien Régnier | Morale : 12 | Moyenne d'Équipe : 64
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Marc HabscheidX98.006946816571747271697670666670663129670312310,000$
2Gaetan DuchesneX96.006551746571798069636963756284812231670321735,000$
3Stu BarnesX100.006349737470727271657569786438398125660241378,000$
4Randy GilhenX100.005839866772747766647160765869743333660311500,000$
5Troy LoneyX100.008579416279757865576264806258533429650311500,000$
6Daniel MaroisX100.007560647173727367606973676945436719650261445,000$
7Martin RucinskyX100.005344706875676572657570656532288933630232400,000$
8Travis Green (R)X100.005846777275656768647067696437308227630241375,000$
9Jere Lehtinen (R)X100.005845737172676769637162785829339726630213650,000$
10Anson Carter (R)X100.006753697274666667616968666428329751620203550,000$
11Daniel LacroixX100.006666486876646656566158725831357620590252255,000$
12Steve FinnX100.008072436674676954515651824967675329660281500,000$
13Brad Werenka (R)X100.007152737075737268627259785436347526650252400,000$
14Marc BergevinX100.007050726475727265616954735150564629650291505,000$
15Marc LaforgeX100.006264436479687067566153774744556728640263435,000$
16Link GaetzX100.008676506082676963586552815034366830640262345,000$
17Bob BoughnerX100.008076446276717264586849774432328929630233422,000$
Rayé
1Pavol Demitra (R)X88.087051807865777078777674737335359914680203250,000$
2Paul MacDermidX100.008479426474717167646966746263693227660311500,000$
3Rich SutterX94.058579436468757667656861726063723312650311500,000$
4Pierre SevignyX100.006355697174636463576358595628288920580232220,000$
5Patrick Traverse (R)X100.006350796266585959566337703531329620570201350,000$
MOYENNE D'ÉQUIPE98.91705863677370706661686173584647662764
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Frederic Chabot96.00676872726964798375697049556720680
2Andre Racicot100.00727070707066738475707035387625660
Rayé
1J.C. Bergeron (R)100.00686675767366687971706628288220640
MOYENNE D'ÉQUIPE98.6769687273716573827470693740752266
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Vigneault71787077707890CAN31295,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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
1Pavol DemitraCanadiens (MTL)RW68273158-83201051891875916614.44%16143721.13715225830902222021351.04%106000010.8100000324
2Randy GilhenCanadiens (MTL)C82232548710013152135337817.04%18120914.7565113422911241544249.69%143700000.7900000414
3Brad WerenkaCanadiens (MTL)D78153247-19700108106106406914.15%114185223.7681220683521233366220.00%000000.5100000220
4Stu BarnesCanadiens (MTL)C77212647-13280762161735014112.14%16147619.17612185633000072730245.61%194900000.6400000323
5Gaetan DuchesneCanadiens (MTL)LW82182341-216052110151539811.92%15134016.3547112920100012551254.01%33700000.6100000224
6Marc HabscheidCanadiens (MTL)LW821820384535871071644011010.98%5152018.5559145034530362701044.26%12200000.5000000223
7Teppo NumminenCanadiensD4472936-34015799333677.53%61107424.4351217662080000214100.00%000000.6700000102
8German TitovCanadiensLW56211233-28011136154389113.64%1084815.15325136110131250056.74%89000010.7800000112
9Steve FinnCanadiens (MTL)D76111829014752075661194518.03%95151719.964711262120111284210.00%000000.3800000232
10Marc BergevinCanadiens (MTL)D7962329-1274087687216608.33%85168521.334812463420001278000.00%000000.3400000011
11Paul MacDermidCanadiens (MTL)RW76919284118102017312942856.98%6103113.57347342050002450147.50%8000100.5400101021
12Daniel MaroisCanadiens (MTL)RW66141125-549511954120358911.67%689613.58448251420000440155.95%8400000.5600010112
13Anson CarterCanadiens (MTL)RW741113244280606699305911.11%1079110.70123857000071147.92%19200000.6100000131
14Travis GreenCanadiens (MTL)C7371623-16100310411335786.19%288312.102461789000092045.49%98700000.5200000001
15Link GaetzCanadiens (MTL)D8222123-1917335202655421383.70%94136616.67077271600000176000.00%000000.3400322301
16Jere LehtinenCanadiens (MTL)RW8251722-1412035668120616.17%1387310.650771710401131961055.26%11400000.5000000001
17Martin RucinskyCanadiens (MTL)LW80111021-19120144099216411.11%684010.517512271670001314145.45%7700000.5000000010
18Troy LoneyCanadiens (MTL)LW6261319-169725112539428646.38%1369111.160116171012561041.67%4800000.5500113110
19Bob BoughnerCanadiens (MTL)D667916-27128101766441103317.07%85121518.42426221480110182010.00%000000.2600002110
20Marc LaforgeCanadiens (MTL)D6111516281585462713263.70%61107417.6104491060000177000.00%000000.3000000011
21Rich SutterCanadiens (MTL)RW642810-25711587496217393.23%55819.080224280001230050.00%4600000.3400100100
22Shjon PodeinCanadiensLW16549-5140232340131812.50%229418.3820212370111491147.92%4800000.6100000001
23Daniel LacroixCanadiens (MTL)C36156-22002327293193.45%538710.76011160000180042.20%39100000.3100000000
24Bob ProbertCanadiensLW9112-12610181291411.11%09810.97101210000310028.57%1400000.4100001010
25Patrick TraverseCanadiens (MTL)D61120003331033.33%79616.0910110000013100.00%000000.4100000000
26Paul RanheimCanadiensLW1000000024310.00%02323.33000250000700100.00%200000.0000000000
Stats d'équipe Total ou en Moyenne1578250402652-1871281125192219662300674160310.87%7502510815.917713220966038747916383497231848.82%787800120.5200649282734
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Frederic ChabotCanadiens (MTL)69193860.8833.4237340021318140340.00006418254
2Andre RacicotCanadiens (MTL)2841320.8683.94121860806070000.00001864000
Stats d'équipe Total ou en Moyenne97235180.8793.5549536029324210340.00008282254


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andre RacicotCanadiens (MTL)G251996-02-09 9:08:37 PMNo166 Lbs5 ft11NoNoNo3Pro & Farm430,000$43,000$316$No430,000$430,000$
Anson CarterCanadiens (MTL)RW202001-02-09 9:08:37 PMYes190 Lbs6 ft1NoNoNo3Pro & Farm550,000$55,000$404$No550,000$550,000$
Bob BoughnerCanadiens (MTL)D231998-02-09 9:08:37 PMNo206 Lbs6 ft0NoNoNo3Pro & Farm422,000$42,200$310$No422,000$422,000$
Brad WerenkaCanadiens (MTL)D251996-02-09 9:08:37 PMYes205 Lbs6 ft2NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Daniel LacroixCanadiens (MTL)C251996-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo2Pro & Farm255,000$25,500$188$No255,000$
Daniel MaroisCanadiens (MTL)RW261995-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm445,000$44,500$327$No
Frederic ChabotCanadiens (MTL)G261995-02-09 9:08:37 PMNo177 Lbs5 ft11NoNoNo1Pro & Farm480,000$48,000$353$No
Gaetan DuchesneCanadiens (MTL)LW321989-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo1Pro & Farm735,000$73,500$540$No
J.C. BergeronCanadiens (MTL)G241997-02-09 9:08:37 PMYes192 Lbs6 ft2NoNoNo2Pro & Farm375,000$37,500$276$No375,000$
Jere LehtinenCanadiens (MTL)RW212000-02-09 9:08:37 PMYes185 Lbs6 ft0NoNoNo3Pro & Farm650,000$65,000$478$No650,000$650,000$
Link GaetzCanadiens (MTL)D261995-02-09 9:08:37 PMNo240 Lbs6 ft3NoNoNo2Pro & Farm345,000$34,500$254$No345,000$
Marc BergevinCanadiens (MTL)D291992-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm505,000$50,500$371$No
Marc HabscheidCanadiens (MTL)LW311990-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo2Pro & Farm310,000$31,000$228$No310,000$
Marc LaforgeCanadiens (MTL)D261995-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo3Pro & Farm435,000$43,500$320$No435,000$435,000$
Martin RucinskyCanadiens (MTL)LW231998-02-09 9:08:37 PMNo206 Lbs6 ft1NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Patrick TraverseCanadiens (MTL)D202001-02-09 9:08:37 PMYes176 Lbs6 ft3NoNoNo1Pro & Farm350,000$35,000$257$No
Paul MacDermidCanadiens (MTL)RW311990-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm500,000$50,000$368$No
Pavol Demitra (Sur la Masse Salariale)Canadiens (MTL)RW202000-08-11 10:04:47 AMYes206 Lbs6 ft0NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Pierre SevignyCanadiens (MTL)LW231998-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo2Pro & Farm220,000$22,000$162$No220,000$
Randy GilhenCanadiens (MTL)C311990-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm500,000$50,000$368$No
Rich Sutter (Sur la Masse Salariale)Canadiens (MTL)RW311990-02-09 9:08:37 PMNo170 Lbs5 ft11NoNoNo1Pro & Farm500,000$50,000$368$No
Steve FinnCanadiens (MTL)D281993-02-09 9:08:37 PMNo199 Lbs6 ft1NoNoNo1Pro & Farm500,000$50,000$368$No
Stu BarnesCanadiens (MTL)C241997-02-09 9:08:37 PMNo174 Lbs5 ft11NoNoNo1Pro & Farm378,000$37,800$278$No
Travis GreenCanadiens (MTL)C241997-02-09 9:08:37 PMYes195 Lbs6 ft1NoNoNo1Pro & Farm375,000$37,500$276$No
Troy LoneyCanadiens (MTL)LW311990-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo1Pro & Farm500,000$50,000$368$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2525.80195 Lbs6 ft11.76432,400$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin RucinskyStu Barnes35014
2Marc HabscheidTravis GreenJere Lehtinen30023
3Gaetan DuchesneRandy GilhenAnson Carter20032
4Troy LoneyDaniel LacroixDaniel Marois15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bob BoughnerBrad Werenka35032
2Marc BergevinMarc Laforge30032
3Link GaetzSteve Finn20032
4Brad WerenkaMarc Bergevin15032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin RucinskyStu Barnes60014
2Marc HabscheidTravis GreenAnson Carter40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bob BoughnerBrad Werenka60032
2Marc BergevinLink Gaetz40032
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Stu BarnesJere Lehtinen60122
2Randy GilhenTroy Loney40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steve FinnBrad Werenka60122
2Marc BergevinBob Boughner40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Stu Barnes60122Steve FinnBrad Werenka60122
2Daniel Lacroix40122Marc BergevinBob Boughner40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Stu Barnes60122
2Travis GreenJere Lehtinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steve FinnBrad Werenka60122
2Marc BergevinBob Boughner40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin RucinskyStu BarnesBob BoughnerBrad Werenka
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gaetan DuchesneStu BarnesJere LehtinenSteve FinnBrad Werenka
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Randy Gilhen, Travis Green, Jere LehtinenJere Lehtinen, Troy LoneyGaetan Duchesne
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Link Gaetz, Bob Boughner, Marc BergevinLink GaetzBob Boughner, Marc Bergevin
Tirs de Pénalité
Travis Green, , Marc Habscheid, Stu Barnes, Anson Carter
Gardien
#1 : Frederic Chabot, #2 : Andre Racicot


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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
1Ailes Rouges623001001319-63210000078-130200100611-550.41713223500638179016667870669418162479113337718.92%43979.07%21308273747.79%1375288347.69%660136048.53%1860120520306691074522
2As641100002418642110000181532200000063390.75024436700638179016267870669418203607112838923.68%301066.67%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
3Banshees604101001928-9403001001218-620110000710-320.16719284700638179013867870669418193656814431722.58%34973.53%11308273747.79%1375288347.69%660136048.53%1860120520306691074522
4Chiefs807100001427-1340310000713-640400000714-710.06314253900638179022467870669418193551451756258.06%481372.92%21308273747.79%1375288347.69%660136048.53%1860120520306691074522
5Citadelles513100001117-62011000058-33120000069-330.3001119300063817901346787066941814648981132214.55%26773.08%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
6Croque-Morts513001001323-1030300000415-112100010098130.30013223500638179011467870669418171595413420420.00%26580.77%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
7Harvard826000002333-1040400000820-12422000001513240.250234164006381790193678706694182636415519648918.75%711283.10%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
8Isotopes622200002021-121100000651411200001416-260.50020355500638179015467870669418196487713537513.51%35682.86%11308273747.79%1375288347.69%660136048.53%1860120520306691074522
9Pacifiques de la route633000001316-33120000069-33210000077060.50013223500638179014567870669418188578211227518.52%31487.10%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
10Riverman514000001117-620200000510-53120000067-120.20011193020638179010167870669418135396412120315.00%31583.87%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
11Snipers624000001725-82110000068-2413000001117-640.33317294610638179014867870669418170588611820525.00%37878.38%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
12Spoonman's1044101003133-25310010016160513100001517-2100.5003156871063817902876787066941828091194242911213.19%781679.49%11308273747.79%1375288347.69%660136048.53%1860120520306691074522
13Wolves513100001420-630210000410-6211000001010030.30014233700638179013067870669418125418412222418.18%31777.42%01308273747.79%1375288347.69%660136048.53%1860120520306691074522
Total82234780400223297-7441102540200104155-5141132240200119142-23580.3542233846074063817902096678706694182425732126918734757616.00%52111178.69%71308273747.79%1375288347.69%660136048.53%1860120520306691074522
_Since Last GM Reset82314700400223297-7441102540200104155-51412122-40200119142-23660.4022233846074063817902096678706694182425732126918734757616.00%52111178.69%71308273747.79%1375288347.69%660136048.53%1860120520306691074522
_Vs Conference43152600200118159-4121413202005480-26221113-200006479-15320.372118204322106381790113067870669418127137173710052913913.40%2926378.42%51308273747.79%1375288347.69%660136048.53%1860120520306691074522
_Vs Division26817001006893-251338101003149-181359-100003744-7170.32768122190106381790704678706694187362104946132012612.94%1974179.19%31308273747.79%1375288347.69%660136048.53%1860120520306691074522

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8258W2223384607209624257321269187340
Tous les Matchs
GPWLOTWOTL TGFGA
822347048223297
Matchs locaux
GPWLOTWOTL TGFGA
411025024104155
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
411322024119142
Derniers 10 Matchs
WLOTWOTL T
71002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4757616.00%52111178.69%7
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
678706694186381790
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1308273747.79%1375288347.69%660136048.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1860120520306691074522


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-09-211Canadiens6Spoonman's3WR3Sommaire du Match
2 - 2020-09-2211Spoonman's3Canadiens2LXSommaire du Match
4 - 2020-09-2419As4Canadiens4TXSommaire du Match
6 - 2020-09-2629Banshees6Canadiens5LXSommaire du Match
7 - 2020-09-2733Canadiens2Spoonman's3LR3Sommaire du Match
9 - 2020-09-2942Canadiens2Isotopes2TXSommaire du Match
10 - 2020-09-3049Chiefs3Canadiens3TXR5Sommaire du Match
11 - 2020-10-0153Canadiens3Harvard1WR4Sommaire du Match
13 - 2020-10-0361Harvard9Canadiens2LSommaire du Match
15 - 2020-10-0571As4Canadiens3LSommaire du Match
17 - 2020-10-0775Canadiens2Chiefs3LR5Sommaire du Match
19 - 2020-10-0985Wolves2Canadiens2TXSommaire du Match
21 - 2020-10-1193Canadiens3Banshees6LSommaire du Match
23 - 2020-10-1396Canadiens4Snipers6LSommaire du Match
25 - 2020-10-15104Harvard6Canadiens3LR4Sommaire du Match
27 - 2020-10-17112Canadiens2Chiefs4LSommaire du Match
29 - 2020-10-19119Harvard3Canadiens2LR4Sommaire du Match
31 - 2020-10-21126Canadiens2Croque-Morts3LXSommaire du Match
33 - 2020-10-23132Canadiens1Chiefs3LR5Sommaire du Match
35 - 2020-10-25138As4Canadiens6WSommaire du Match
37 - 2020-10-27146Pacifiques de la route2Canadiens0LSommaire du Match
39 - 2020-10-29155Croque-Morts5Canadiens1LSommaire du Match
41 - 2020-10-31159Canadiens3Harvard5LR4Sommaire du Match
42 - 2020-11-01167Canadiens3Snipers1WSommaire du Match
44 - 2020-11-03173Snipers6Canadiens3LSommaire du Match
46 - 2020-11-05183Wolves4Canadiens1LSommaire du Match
47 - 2020-11-06188Canadiens2Pacifiques de la route1WSommaire du Match
48 - 2020-11-07192Canadiens3Riverman4LSommaire du Match
50 - 2020-11-09201Pacifiques de la route2Canadiens5WSommaire du Match
52 - 2020-11-11211Banshees3Canadiens2LSommaire du Match
53 - 2020-11-12216Canadiens2Chiefs4LR5Sommaire du Match
55 - 2020-11-14225Ailes Rouges1Canadiens2WSommaire du Match
56 - 2020-11-15231Canadiens4Pacifiques de la route2WSommaire du Match
58 - 2020-11-17240Spoonman's5Canadiens3LR3Sommaire du Match
59 - 2020-11-18245Canadiens7Croque-Morts5WSommaire du Match
61 - 2020-11-20248Canadiens2Spoonman's4LR3Sommaire du Match
62 - 2020-11-21259Croque-Morts4Canadiens2LSommaire du Match
65 - 2020-11-24268Isotopes1Canadiens3WSommaire du Match
66 - 2020-11-25275Canadiens4Spoonman's4TXR3Sommaire du Match
67 - 2020-11-26279Canadiens3Snipers7LSommaire du Match
68 - 2020-11-27287Chiefs2Canadiens1LR5Sommaire du Match
70 - 2020-11-29293Canadiens3As1WSommaire du Match
72 - 2020-12-01301Chiefs2Canadiens1LR5Sommaire du Match
73 - 2020-12-02308Canadiens3Ailes Rouges4LXSommaire du Match
74 - 2020-12-03314Isotopes4Canadiens3LSommaire du Match
75 - 2020-12-04322Pacifiques de la route5Canadiens1LSommaire du Match
76 - 2020-12-05326Canadiens3Citadelles1WSommaire du Match
78 - 2020-12-07337Wolves4Canadiens1LSommaire du Match
79 - 2020-12-08339Canadiens1Citadelles4LSommaire du Match
80 - 2020-12-09346Canadiens3Isotopes6LSommaire du Match
82 - 2020-12-11356Banshees4Canadiens1LSommaire du Match
84 - 2020-12-13362Canadiens3Harvard4LR4Sommaire du Match
86 - 2020-12-15368Canadiens0Riverman2LSommaire du Match
88 - 2020-12-17373Ailes Rouges2Canadiens3WSommaire du Match
90 - 2020-12-19383Canadiens3Isotopes3TXSommaire du Match
92 - 2020-12-21387Spoonman's2Canadiens3WR3Sommaire du Match
94 - 2020-12-23394Canadiens0Ailes Rouges3LSommaire du Match
96 - 2020-12-25401Chiefs6Canadiens2LR5Sommaire du Match
98 - 2020-12-27411Canadiens5Wolves7LSommaire du Match
100 - 2020-12-29415Ailes Rouges5Canadiens2LSommaire du Match
101 - 2020-12-30425Banshees5Canadiens4LSommaire du Match
103 - 2021-01-01430Canadiens3Ailes Rouges4LSommaire du Match
104 - 2021-01-02439Harvard2Canadiens1LR4Sommaire du Match
106 - 2021-01-04448Canadiens1Pacifiques de la route4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
109 - 2021-01-07455Croque-Morts6Canadiens1LSommaire du Match
111 - 2021-01-09463Canadiens2Citadelles4LSommaire du Match
112 - 2021-01-10465As3Canadiens5WSommaire du Match
113 - 2021-01-11474Canadiens1Snipers3LSommaire du Match
115 - 2021-01-13480Riverman6Canadiens3LSommaire du Match
116 - 2021-01-14489Canadiens1Spoonman's3LR3Sommaire du Match
118 - 2021-01-16497Spoonman's3Canadiens4WSommaire du Match
120 - 2021-01-18507Riverman4Canadiens2LSommaire du Match
121 - 2021-01-19514Canadiens3Riverman1WSommaire du Match
122 - 2021-01-20522Snipers2Canadiens3WSommaire du Match
123 - 2021-01-21524Canadiens5Wolves3WSommaire du Match
125 - 2021-01-23536Spoonman's3Canadiens4WR3Sommaire du Match
126 - 2021-01-24541Canadiens3As2WSommaire du Match
129 - 2021-01-27551Citadelles2Canadiens2TXSommaire du Match
132 - 2021-01-30561Citadelles6Canadiens3LSommaire du Match
133 - 2021-01-31566Canadiens4Banshees4TXSommaire du Match
134 - 2021-02-01567Canadiens6Isotopes5WSommaire du Match
135 - 2021-02-02573Canadiens6Harvard3WR4Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,180,398$ 1,006,000$ 1,006,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,006,000$ 1,180,398$ 23 2

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 8,096$ 8,096$




LigueDomicileVisiteur
Année 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