Isotopes
GP: 82 | W: 27 | L: 40 | T: 11 | P: 69
GF: 231 | GA: 285 | PP%: 15.44% | PK%: 81.63%
DG: Simon Picard | Morale : 28 | Moyenne d'Équipe : 65
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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
1Sergio MomessoX98.008679446776697270677369696848664714660292625,800$
2Brent AshtonX100.006248696276767466636672687174901031660342500,000$
3Bill LindsayX98.007870567274797874646964795832338156660242260,000$
4Jim CumminsX100.008879456479757669647563755628347546650252250,000$
5Pat ConacherX100.00705564597066656862666675646978416650353550,000$
6Andy Brickley (A)X100.006045806472766863636566716680761638650332450,000$
7Hubie McDonoughX100.006446776769697071657570666456533348650313450,000$
8Gilbert DionneX100.005846757174676872617273606631358330640243440,000$
9Jim ThomsonX100.007163586576696967616665656066734617640292400,000$
10Marc BureauX100.007369466576717464606662735951505222630281350,000$
11Jay WellsX100.00756943577472716256613778368995115670352650,000$
12Mark HardyX100.00695473567269715755604181408697227660353800,000$
13Peter PopovicX100.007052766985717266596454805149486739660263740,000$
14Normand Rochefort (C)X100.006649705277817953505736833580881538660331180,000$
15Keith Carney (R)X100.007356666775747563566654795040458127650241525,000$
16Shawn CroninX100.008569536276697046445644804065753313650311380,000$
Rayé
1David ArchibaldX97.006446856976767869637166796449497421670251505,000$
2Peter WhiteX100.006751706972697070626970746636367622650252210,000$
3Trent KlattX100.005947746974646670627070706534398930630231350,000$
4Sergei Zholtok (R)X100.005241797472646668667065636229299520620223410,000$
5Darby Hendrickson (R)X100.005746797070677065596558725630339720610223350,000$
6Andrew McBainX100.007159626775707358546067576658624720610292450,000$
7Dave KarpaX100.007468486676646662587052774632328920630232250,000$
8Jamie Pushor (R)X100.007765556679656663596443744136379620620222400,000$
9Mattias Norstrom (R)X100.006849786676697062607035753335399519620223500,000$
MOYENNE D'ÉQUIPE99.72695765657570716560675873555156562764
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
1John Tanner100.00736875757373798579706737378922690
2Steve Weeks100.007773727073557276677469798219690
Rayé
1Steve Shields (R)100.00637080817571808378727032399519690
MOYENNE D'ÉQUIPE100.0071707675746677817572694953621769
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pierre Page68747679817975CAN46295,000$


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
1Hubie McDonoughIsotopes (COL)C81253459-1640151591844814813.59%4128115.8310102048287000154050.99%162200000.9200000235
2Bill LindsayIsotopes (COL)RW82193857-1310515215161272812256.99%15165720.21517227534712392263543.67%24500100.6900201134
3Peter WhiteIsotopes (COL)C77242953-1335831281915512412.57%8117615.2861218492540110391345.91%144200000.9000001234
4Peter PopovicIsotopes (COL)D82114253-18700123101109347210.09%101188122.9581422623410002322010.00%000000.5600000115
5David ArchibaldIsotopes (COL)RW56163349-312035153170511369.41%15131723.53613194922421382901043.20%61800000.7400000411
6Jim CumminsIsotopes (COL)RW80162541-811915206891534111010.46%10116514.57336201270002483044.09%9300000.7000012132
7Normand RochefortIsotopes (COL)D82132336-6460866285225615.29%97195223.82628493470111340110.00%000000.3700000122
8Keith CarneyIsotopes (COL)D80112435-66601168070274415.71%85147418.436612361830110171300.00%000000.4700000102
9Brent AshtonIsotopes (COL)LW63161430-16804976126249112.70%8126320.0547113423600052151052.08%26500000.4700000400
10Sergio MomessoIsotopes (COL)LW49121729-14761014853108287611.11%891318.6319102417310141161346.98%14900000.6400011122
11Andy BrickleyIsotopes (COL)LW72111627440103973257015.07%981311.2903391050001740047.00%10000000.6600000212
12Laurie BoschmanRockiesC2451419-541578765916498.47%456323.481451510401131130058.02%82900000.6700001003
13Ted DonatoRockiesLW2371017-12405297820478.97%542518.5026828890001661051.52%3300000.8000000021
14Pat ConacherIsotopes (COL)LW518816-3140233262123812.90%759411.651127550000661035.29%5100000.5400000130
15Mark HardyIsotopes (COL)D6341216-24520100444110269.76%79141022.38369242520001245100.00%000000.2300000101
16Marc BureauIsotopes (COL)C5651015124057796816477.35%1171712.810115230000411146.25%74600000.4200000000
17Gilbert DionneIsotopes (COL)LW664812-4408344914298.16%14026.110002180001191041.41%9900000.6000000101
18Dave KarpaIsotopes (COL)D453912370091422571412.00%4477317.20000789011078000.00%000000.3100000010
19Jay WellsIsotopes (COL)D3211011-850010826327143.12%3075323.55033211400001110100.00%000000.2900000100
20Marty McInnisRockiesLW1255107409303031616.67%327222.670009510001611053.03%6600000.7400000100
21Shawn CroninIsotopes (COL)D42189-285512816138157.69%3765115.52000029000070100.00%000000.2800001011
22Sergei ZholtokIsotopes (COL)LW37246-660917259208.00%02657.1700011000180047.37%1900000.4500000001
23Mattias NorstromIsotopes (COL)D41156-8160213072714.29%3762215.1910116000055000.00%000000.1900000001
24Jim ThomsonIsotopes (COL)RW56246-720034312913366.90%44357.77000040001100050.00%3800000.2800000010
25Darby HendricksonIsotopes (COL)C46145-161002047368242.78%14108.93000000001250043.55%43400000.2400000000
26Trent KlattIsotopes (COL)RW49325-118030315110375.88%03336.8100003000000133.33%2400000.3000000011
27Lyle OdeleinRockiesD5224-221511674328.57%811523.05101318000023100.00%000000.6900001000
28Jamie PushorIsotopes (COL)D20112-3200501563616.67%1930315.1900016000028000.00%000000.1300000010
29Espen KnutsenRockiesC4202-100191151218.18%08621.651016181011130047.25%9100000.4600000000
Stats d'équipe Total ou en Moyenne1476231411642-19899260186916952170603159210.65%6502403516.286511718258535405813452889271548.31%696400100.5300228252939
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
1Steve ShieldsIsotopes (COL)35121840.8833.461978411149770120.00003420400
2Steve WeeksIsotopes (COL)3081830.8783.611729211048540120.00003016400
3John TannerIsotopes (COL)257840.8942.98126921635950000.00001846210
Stats d'équipe Total ou en Moyenne902744110.8843.3949788328124260240.000082821010


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
Andrew McBainIsotopes (COL)RW291992-02-09 9:08:37 PMNo194 Lbs6 ft1NoNoNo2Pro & Farm450,000$45,000$331$No450,000$
Andy BrickleyIsotopes (COL)LW331988-02-09 9:08:37 PMNo200 Lbs5 ft11NoNoNo2Pro & Farm450,000$45,000$331$No450,000$
Bill LindsayIsotopes (COL)RW241997-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo2Pro & Farm260,000$26,000$191$No260,000$
Brent AshtonIsotopes (COL)LW341987-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$368$No500,000$
Darby HendricksonIsotopes (COL)C221999-02-09 9:08:37 PMYes195 Lbs6 ft0NoNoNo3Pro & Farm350,000$35,000$257$No350,000$350,000$
Dave KarpaIsotopes (COL)D231998-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo2Pro & Farm250,000$25,000$184$No250,000$
David ArchibaldIsotopes (COL)RW251996-02-09 9:08:37 PMNo202 Lbs6 ft1NoNoNo1Pro & Farm505,000$50,500$371$No
Gilbert DionneIsotopes (COL)LW241997-02-09 9:08:37 PMNo194 Lbs6 ft0NoNoNo3Pro & Farm440,000$44,000$324$No440,000$440,000$
Hubie McDonoughIsotopes (COL)C311990-02-09 9:08:37 PMNo180 Lbs5 ft9NoNoNo3Pro & Farm450,000$45,000$331$No450,000$450,000$
Jamie PushorIsotopes (COL)D221999-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Jay WellsIsotopes (COL)D351986-02-09 9:08:37 PMNo204 Lbs6 ft1NoNoNo2Pro & Farm650,000$65,000$478$No650,000$
Jim CumminsIsotopes (COL)RW251996-02-09 9:08:37 PMNo219 Lbs6 ft2NoNoNo2Pro & Farm250,000$25,000$184$No250,000$
Jim ThomsonIsotopes (COL)RW291992-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
John TannerIsotopes (COL)G231998-02-09 9:08:37 PMNo182 Lbs6 ft3NoNoNo3Pro & Farm525,000$52,500$386$No525,000$525,000$
Keith CarneyIsotopes (COL)D241997-02-09 9:08:37 PMYes205 Lbs6 ft2NoNoNo1Pro & Farm525,000$52,500$386$No
Marc BureauIsotopes (COL)C281993-02-09 9:08:37 PMNo202 Lbs6 ft1NoNoNo1Pro & Farm350,000$35,000$257$No
Mark HardyIsotopes (COL)D351986-02-09 9:08:37 PMNo195 Lbs5 ft11NoNoNo3Pro & Farm800,000$80,000$588$No800,000$800,000$
Mattias NorstromIsotopes (COL)D221999-02-09 9:08:37 PMYes205 Lbs6 ft1NoNoNo3Pro & Farm500,000$50,000$368$No500,000$500,000$
Normand RochefortIsotopes (COL)D331988-02-09 9:08:37 PMNo214 Lbs6 ft1NoNoNo1Pro & Farm180,000$18,000$132$No
Pat ConacherIsotopes (COL)LW351986-02-09 9:08:37 PMNo188 Lbs5 ft8NoNoNo3Pro & Farm550,000$55,000$404$No550,000$550,000$
Peter PopovicIsotopes (COL)D261995-02-09 9:08:37 PMNo240 Lbs6 ft6NoNoNo3Pro & Farm740,000$74,000$544$No740,000$740,000$
Peter WhiteIsotopes (COL)C251996-02-09 9:08:37 PMNo195 Lbs5 ft11NoNoNo2Pro & Farm210,000$21,000$154$No210,000$
Sergei ZholtokIsotopes (COL)LW221999-02-09 9:08:37 PMYes185 Lbs6 ft0NoNoNo3Pro & Farm410,000$41,000$301$No410,000$410,000$
Sergio MomessoIsotopes (COL)LW291992-02-09 9:08:37 PMNo200 Lbs6 ft3NoNoNo2Pro & Farm625,800$62,580$460$No625,800$
Shawn CroninIsotopes (COL)D311990-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo1Pro & Farm380,000$38,000$279$No
Steve ShieldsIsotopes (COL)G221999-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo3Pro & Farm350,000$35,000$257$No350,000$350,000$
Steve WeeksIsotopes (COL)G361985-02-09 9:08:37 PMNo165 Lbs5 ft11NoNoNo2Pro & Farm550,000$55,000$404$No550,000$
Trent KlattIsotopes (COL)RW231998-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm350,000$35,000$257$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2827.50201 Lbs6 ft12.14442,886$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brent Ashton35122
2Sergio MomessoHubie McDonoughBill Lindsay30122
3Pat ConacherMarc BureauJim Cummins20122
4Andy BrickleyJim Thomson15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay WellsNormand Rochefort35122
2Mark HardyPeter Popovic30122
3Keith CarneyShawn Cronin20122
4Jay WellsNormand Rochefort15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brent Ashton60122
2Sergio MomessoHubie McDonoughBill Lindsay40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay WellsNormand Rochefort60122
2Mark HardyPeter Popovic40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brent Ashton60122
2Bill LindsaySergio Momesso40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay WellsNormand Rochefort60122
2Mark HardyPeter Popovic40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jay WellsNormand Rochefort60122
2Brent Ashton40122Mark HardyPeter Popovic40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brent Ashton60122
2Bill LindsaySergio Momesso40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay WellsNormand Rochefort60122
2Mark HardyPeter Popovic40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brent AshtonJay WellsNormand Rochefort
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brent AshtonJay WellsNormand Rochefort
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gilbert Dionne, Pat Conacher, Andy BrickleyGilbert Dionne, Pat ConacherAndy Brickley
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keith Carney, Shawn Cronin, Mark HardyKeith CarneyShawn Cronin, Mark Hardy
Tirs de Pénalité
, Brent Ashton, Bill Lindsay, Sergio Momesso, Pat Conacher
Gardien
#1 : Steve Weeks, #2 : John Tanner


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 Rouges632100001916341210000711-422000000125770.58319335201768667215974869770718166387113538718.42%33875.76%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
2As503101001020-1020200000311-83011010079-220.2001017270076866721447486977071816428581282926.90%24579.17%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
3Banshees1125301002737-10513001001219-7612300001518-380.3642747741076866722397486977071834510517023044715.91%79988.61%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
4Canadiens622200002120141120000161422110000056-160.50021375800768667219674869770718154558114435617.14%37586.49%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
5Chiefs613101001722-5413000001115-42001010067-140.33317314801768667212974869770718183536414125416.00%301066.67%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
6Citadelles8431000025250431000001611541210000914-590.56325467110768667220174869770718268731151863339.09%48687.50%11314273348.08%1368287547.58%682135650.29%1892124920156541078527
7Croque-Morts623010001823-52020000029-7421010001614260.50018335110768667215574869770718168517015027622.22%24387.50%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
8Harvard53101000191452110000065132001000139480.80019365500768667212174869770718138255012023417.39%23482.61%11314273348.08%1368287547.58%682135650.29%1892124920156541078527
9Pacifiques de la route512101001518-331100100911-22011000067-140.40015274200768667214274869770718110425111430413.33%23482.61%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
10Riverman944100002937-8412100001418-4532000001519-490.5002950790076866722707486977071829680112201501122.00%501472.00%21314273348.08%1368287547.58%682135650.29%1892124920156541078527
11Snipers50500000620-142020000046-230300000214-1200.0006101600768667213274869770718158385610725416.00%21480.95%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
12Spoonman's523000001515021100000422312000001113-240.4001526410076866721587486977071812128481014249.52%22290.91%11314273348.08%1368287547.58%682135650.29%1892124920156541078527
13Wolves514000001018-831200000611-52020000047-320.20010182811768667212474869770718159345411220315.00%27774.07%01314273348.08%1368287547.58%682135650.29%1892124920156541078527
Total822540112400231285-5441122340200110143-3341131772200121142-21690.4212314116424376866722170748697707182430650100018694216515.44%4418181.63%51314273348.08%1368287547.58%682135650.29%1892124920156541078527
_Since Last GM Reset82364002400231285-5441122340200110143-33412417-42200121142-21800.4882314116424376866722170748697707182430650100018694216515.44%4418181.63%51314273348.08%1368287547.58%682135650.29%1892124920156541078527
_Vs Conference41211701200124133-921810201006566-120137-211005967-8460.56112422334721768667210447486977071812093395289222022813.86%2393684.94%31314273348.08%1368287547.58%682135650.29%1892124920156541078527
_Vs Division19108001005262-10944001002830-21064000002432-8210.553529314520768667244074869770718613178285416771012.99%1271588.19%11314273348.08%1368287547.58%682135650.29%1892124920156541078527

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8269L3231411642217024306501000186943
Tous les Matchs
GPWLOTWOTL TGFGA
8225402411231285
Matchs locaux
GPWLOTWOTL TGFGA
411223024110143
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
411317227121142
Derniers 10 Matchs
WLOTWOTL T
08101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4216515.44%4418181.63%5
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
748697707187686672
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
1314273348.08%1368287547.58%682135650.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1892124920156541078527


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
2 - 2020-09-228Banshees2Isotopes1LXSommaire du Match
3 - 2020-09-2314Isotopes3Banshees2WSommaire du Match
4 - 2020-09-2421Riverman1Isotopes4WSommaire du Match
5 - 2020-09-2522Isotopes2Banshees4LSommaire du Match
6 - 2020-09-2627Isotopes2Riverman6LSommaire du Match
8 - 2020-09-2837Isotopes2Riverman6LSommaire du Match
9 - 2020-09-2942Canadiens2Isotopes2TXSommaire du Match
10 - 2020-09-3050Isotopes2Citadelles4LSommaire du Match
12 - 2020-10-0259Citadelles4Isotopes3LSommaire du Match
14 - 2020-10-0467Spoonman's1Isotopes0LSommaire du Match
16 - 2020-10-0674Isotopes4Spoonman's3WSommaire du Match
18 - 2020-10-0880Isotopes4Riverman2WSommaire du Match
20 - 2020-10-1087Citadelles2Isotopes4WSommaire du Match
22 - 2020-10-1295Riverman4Isotopes4TXSommaire du Match
24 - 2020-10-14101Isotopes2Citadelles7LSommaire du Match
26 - 2020-10-16107Isotopes4Banshees4TXSommaire du Match
28 - 2020-10-18115Riverman7Isotopes4LSommaire du Match
30 - 2020-10-20123Spoonman's1Isotopes4WSommaire du Match
32 - 2020-10-22129Isotopes1Citadelles1TXSommaire du Match
34 - 2020-10-24137Citadelles1Isotopes3WSommaire du Match
36 - 2020-10-26144Riverman6Isotopes2LSommaire du Match
38 - 2020-10-28151Isotopes5Spoonman's6LSommaire du Match
40 - 2020-10-30157Isotopes4Citadelles2WSommaire du Match
42 - 2020-11-01164Banshees3Isotopes2LSommaire du Match
43 - 2020-11-02172Isotopes3Riverman2WSommaire du Match
45 - 2020-11-04178Citadelles4Isotopes6WSommaire du Match
47 - 2020-11-06186Croque-Morts4Isotopes2LSommaire du Match
48 - 2020-11-07194Isotopes1Wolves3LSommaire du Match
49 - 2020-11-08200Isotopes2Spoonman's4LSommaire du Match
51 - 2020-11-10206Isotopes4Riverman3WSommaire du Match
52 - 2020-11-11210Pacifiques de la route6Isotopes2LSommaire du Match
55 - 2020-11-14221As6Isotopes1LSommaire du Match
56 - 2020-11-15230Banshees3Isotopes5WSommaire du Match
58 - 2020-11-17235Isotopes2Banshees4LSommaire du Match
59 - 2020-11-18243Harvard2Isotopes4WSommaire du Match
61 - 2020-11-20251Isotopes4Ailes Rouges3WSommaire du Match
62 - 2020-11-21257Wolves8Isotopes4LSommaire du Match
64 - 2020-11-23262Isotopes1Snipers3LSommaire du Match
65 - 2020-11-24268Isotopes1Canadiens3LSommaire du Match
66 - 2020-11-25276Pacifiques de la route1Isotopes4WSommaire du Match
67 - 2020-11-26282Isotopes3Chiefs3TXSommaire du Match
70 - 2020-11-29290Snipers4Isotopes3LSommaire du Match
71 - 2020-11-30298Isotopes2Banshees2TXSommaire du Match
72 - 2020-12-01304Ailes Rouges1Isotopes1TXSommaire du Match
74 - 2020-12-03314Isotopes4Canadiens3WSommaire du Match
75 - 2020-12-04318Banshees5Isotopes3LSommaire du Match
76 - 2020-12-05325Isotopes5Harvard3WSommaire du Match
78 - 2020-12-07332Ailes Rouges0Isotopes2WSommaire du Match
79 - 2020-12-08343Isotopes3Chiefs4LXSommaire du Match
80 - 2020-12-09346Canadiens3Isotopes6WSommaire du Match
82 - 2020-12-11352Isotopes5Harvard4WSommaire du Match
84 - 2020-12-13360Chiefs0Isotopes3WSommaire du Match
86 - 2020-12-15371As5Isotopes2LSommaire du Match
88 - 2020-12-17375Isotopes3Harvard2WXSommaire du Match
90 - 2020-12-19383Canadiens3Isotopes3TXSommaire du Match
92 - 2020-12-21393Pacifiques de la route4Isotopes3LXSommaire du Match
94 - 2020-12-23400Isotopes2As3LSommaire du Match
96 - 2020-12-25406Isotopes8Ailes Rouges2WSommaire du Match
98 - 2020-12-27412Banshees6Isotopes1LSommaire du Match
101 - 2020-12-30423Wolves3Isotopes1LSommaire du Match
103 - 2021-01-01429Isotopes2Pacifiques de la route2TXSommaire du Match
104 - 2021-01-02437Chiefs5Isotopes1LSommaire du Match
105 - 2021-01-03442Isotopes2As3LXSommaire du Match
108 - 2021-01-06451Snipers2Isotopes1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
109 - 2021-01-07456Isotopes3Wolves4LSommaire du Match
110 - 2021-01-08457Isotopes6Croque-Morts4WSommaire du Match
112 - 2021-01-10466Isotopes5Croque-Morts4WSommaire du Match
114 - 2021-01-12476Wolves0Isotopes1WSommaire du Match
115 - 2021-01-13483Ailes Rouges6Isotopes3LSommaire du Match
117 - 2021-01-15494Croque-Morts5Isotopes0LSommaire du Match
118 - 2021-01-16500Isotopes3As3TXSommaire du Match
120 - 2021-01-18508Ailes Rouges4Isotopes1LSommaire du Match
122 - 2021-01-20521Harvard3Isotopes2LSommaire du Match
123 - 2021-01-21526Isotopes4Pacifiques de la route5LSommaire du Match
124 - 2021-01-22533Chiefs5Isotopes4LSommaire du Match
127 - 2021-01-25546Isotopes3Croque-Morts5LSommaire du Match
128 - 2021-01-26548Chiefs5Isotopes3LSommaire du Match
129 - 2021-01-27553Isotopes2Banshees2TXSommaire du Match
130 - 2021-01-28557Isotopes2Croque-Morts1WXSommaire du Match
131 - 2021-01-29559Isotopes1Snipers4LSommaire du Match
134 - 2021-02-01567Canadiens6Isotopes5LSommaire du Match
135 - 2021-02-02574Isotopes0Snipers7LSommaire 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
1,409,043$ 1,240,080$ 1,240,080$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,240,080$ 1,409,043$ 28 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 9,817$ 9,817$




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