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Rampage

GP: 50 | W: 32 | L: 16 | OTL: 2 | P: 66
GF: 220 | GA: 127 | PP%: 18.52% | PK%: 83.10%
DG: Phylippe Poudrette | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #784 vs Bears
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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
1Kailer Yamamoto (A)XX100.005639886960827768556667647163610506402121,124,166$
2Nicolas Aube-KubelX100.00734685667078736552626463666765050640231700,000$
3Colby Cave (C)X100.00684387637778766172626064597166050630241675,000$
4Matthew PecaX100.005439866466787763746261656473660126302611,300,000$
5Max Comtois (A)X100.00724982658373686458616362656166050630202925,000$
6Seth GriffithXXX100.00524688656787896459636162657367050630261700,000$
7Sam CarrickX100.00624984647579736273616359627573050630271700,000$
8Jack StudnickaX100.00584389637279746273606159626163050620203863,333$
9Janne KuokkanenXX100.00614389647677746358625961646361050620212894,166$
10Maxim LetunovX100.00624388638280796268615960636764050620231700,000$
11Jordan SzwarzXX100.00594587637178796268606159627767050620281800,000$
12Kurtis GabrielX100.00725773608675775850565759607367050610261700,000$
13Ben HarpurX100.00785977609986785930585667526965050630241725,000$
14Fredrik ClaessonX100.00654385607782785830595762517568050620261700,000$
15Julian MelchioriX100.00785286589486885630535460457769039620271700,000$
16Chase PriskieX100.005645886271868859306155584667640506102321,775,000$
17Mason GeertsenX100.00737367558986875630545259456965050600241650,000$
Rayé
1Max VeronneauX100.006138875976737260545758615669640236102311,350,000$
2Ryan McLeodX100.00684787638286856167595456586163050610203925,000$
3Leon GawankeX100.00594588607583825830615356486163044600203810,000$
MOYENNE D'ÉQUIPE100.0064478562778179615360596158696504662
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
1Pheonix Copley100.0077807886767577767577767581050670
2Andrew Hammond100.0073828085727173727173728086050660
Rayé
1Charlie Lindgren100.0075656373747375747375747377050650
2Michael McNiven100.0070666480696870696870696569050620
MOYENNE D'ÉQUIPE100.007473718173727473727473737805065
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Kailer YamamotoRampage (STL)LW/RW50273259292034126321802188.41%22115623.13437399310181602345.76%11800011.0225000422
2Nicolas Aube-KubelRampage (STL)RW50292958293201871212637918811.03%21121624.32437269201151415148.46%45400010.9525000526
3Max ComtoisRampage (STL)LW5032235541200151962656514712.08%11100920.1841526870003813248.13%18700001.0924000277
4Colby CaveRampage (STL)C5024305434200561261664712014.46%1984316.871346400005592258.73%107100001.2801000334
5Jordan SzwarzRampage (STL)C/RW50183553411604196221621358.14%1391618.322572489000001165.79%7600011.1601000211
6Seth GriffithRampage (STL)C/LW/RW501934532560191131645713311.59%2089017.8107722880000472052.60%113500001.1902000131
7Janne KuokkanenRampage (STL)C/LW50202747266034921905114810.53%1477015.42000100000164247.50%8000001.2212000411
8Sam CarrickRampage (STL)C50935443627550109188451454.79%1385017.001341353000002057.59%112000001.0400001030
9Ben HarpurRampage (STL)D50833412362101555212547726.40%88122324.4714536940001110310.00%000000.6700110131
10Jack StudnickaRampage (STL)C506293544160123668111657.41%4591018.2000000000000157.66%27400000.7711000004
11Kurtis GabrielRampage (STL)RW501023332634012262151421106.62%1075215.0500000000001048.98%4900000.8800000032
12Fredrik ClaessonRampage (STL)D503262929300112487934533.80%68109321.8804421920002114100.00%000000.5300000010
13Justin BaileyBluesRW225121754048307213636.94%436116.451015280002221048.28%5800000.9411000013
14Chase PriskieRampage (STL)D161131413803821265183.85%2334121.321231334000140000.00%000000.8200000100
15Julian MelchioriRampage (STL)D2746101518055212862014.29%3266624.69101642000169200.00%000000.3000000000
16Aaron NessBluesD231786602516296203.45%3147620.711121533000057000.00%000000.3400000000
17Mason GeertsenRampage (STL)D16314131204811104930.00%1523414.660000200003100.00%000000.3400000000
18Maxim LetunovRampage (STL)C50134100110180115.56%0831.67011060000130053.92%10200000.9611000000
19Max VeronneauRampage (STL)RW52021200371428.57%0255.070000000000000.00%000001.5800000000
20Leon GawankeRampage (STL)D5011140825250.00%610420.88000310000012000.00%000000.1900000000
21Ryan McLeodRampage (STL)C32000000100100.00%030.100000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne7962223996214383251513081221240965816849.22%4551392917.5021375825689011228951301354.77%472500030.891023111233032
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
1Pheonix CopleyRampage (STL)50321520.9292.4829506512217290100.71421500632
2Andrew HammondRampage (STL)20100.9322.6169003440000.0000050000
Stats d'équipe Total ou en Moyenne52321620.9292.4830196512517730100.714215050632


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 HammondRampage (STL)G311988-02-11No223 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ben HarpurRampage (STL)D241995-01-12No231 Lbs6 ft6NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Charlie LindgrenRampage (STL)G251993-12-18No180 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Chase PriskieRampage (STL)D231996-03-19No185 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Lien
Colby CaveRampage (STL)C241994-12-26No200 Lbs6 ft1NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Fredrik ClaessonRampage (STL)D261992-11-24No196 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jack StudnickaRampage (STL)C201999-02-18No171 Lbs6 ft1NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Janne KuokkanenRampage (STL)C/LW211998-05-25No193 Lbs6 ft1NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien / Lien NHL
Jordan SzwarzRampage (STL)C/RW281991-05-14No192 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Julian MelchioriRampage (STL)D271991-12-06No222 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Kailer YamamotoRampage (STL)LW/RW211998-09-29No153 Lbs5 ft8NoNoNo2Pro & Farm1,124,166$0$0$No1,124,166$Lien / Lien NHL
Kurtis GabrielRampage (STL)RW261993-04-20No200 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Leon GawankeRampage (STL)D201999-05-31No186 Lbs6 ft1NoNoNo3Pro & Farm810,000$0$0$No810,000$810,000$Lien
Mason GeertsenRampage (STL)D241995-04-19No212 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Matthew PecaRampage (STL)C261993-04-27No182 Lbs5 ft9NoNoNo1Pro & Farm1,300,000$0$0$NoLien / Lien NHL
Max ComtoisRampage (STL)LW201999-01-08No215 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Max VeronneauRampage (STL)RW231995-12-12No193 Lbs6 ft1NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Maxim LetunovRampage (STL)C231996-02-20No180 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Michael McNivenRampage (STL)G221997-07-09No214 Lbs6 ft1NoNoNo1Pro & Farm703,333$0$0$NoLien / Lien NHL
Nicolas Aube-KubelRampage (STL)RW231996-05-10No187 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Pheonix CopleyRampage (STL)G271992-01-18No200 Lbs6 ft4NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien / Lien NHL
Ryan McLeodRampage (STL)C201999-09-21No207 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Sam CarrickRampage (STL)C271992-02-04No205 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Seth GriffithRampage (STL)C/LW/RW261993-01-04No190 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2424.04197 Lbs6 ft11.54873,750$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kailer YamamotoColby CaveNicolas Aube-Kubel30122
2Max ComtoisSeth GriffithJordan Szwarz30122
3Janne KuokkanenSam CarrickKurtis Gabriel25122
4Nicolas Aube-KubelJack Studnicka15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurFredrik Claesson30122
2Chase Priskie30122
3Mason GeertsenJack Studnicka25122
4Ben HarpurFredrik Claesson15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kailer YamamotoColby CaveNicolas Aube-Kubel60122
2Max ComtoisSeth GriffithJordan Szwarz40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurFredrik Claesson60122
2Chase Priskie40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nicolas Aube-KubelKailer Yamamoto60122
2Max ComtoisColby Cave40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurFredrik Claesson60122
2Chase Priskie40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nicolas Aube-Kubel60122Ben HarpurFredrik Claesson60122
2Kailer Yamamoto40122Chase Priskie40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nicolas Aube-KubelKailer Yamamoto60122
2Max ComtoisColby Cave40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurFredrik Claesson60122
2Chase Priskie40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kailer YamamotoColby CaveNicolas Aube-KubelBen HarpurFredrik Claesson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kailer YamamotoColby CaveNicolas Aube-KubelBen HarpurFredrik Claesson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Maxim Letunov, Sam Carrick, Janne KuokkanenMaxim Letunov, Sam CarrickJanne Kuokkanen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mason Geertsen, Chase Priskie, Mason GeertsenChase Priskie,
Tirs de Pénalité
Nicolas Aube-Kubel, Kailer Yamamoto, Max Comtois, Colby Cave, Seth Griffith
Gardien
#1 : Pheonix Copley, #2 : Andrew Hammond


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
1Admirals220000001266110000003031100000096341.0001223350185815199972979780136661814445120.00%60100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
2Americans1010000025-31010000025-30000000000000.00022400858151936729797801364520832100.00%3166.67%01084198454.64%1013186454.35%46682756.35%13009441102338622319
3Barracuda2020000058-3000000000002020000058-300.0005914008581519637297978013678182148400.00%7271.43%01084198454.64%1013186454.35%46682756.35%13009441102338622319
4Bruins2010000147-31000000145-11010000002-210.25048120085815197072979780136811620406116.67%10460.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
5Checkers2010000158-31010000024-21000000134-110.250591400858151993729797801367381245500.00%6183.33%01084198454.64%1013186454.35%46682756.35%13009441102338622319
6Comets110000001221011000000122100000000000021.0001223350085815199172979780136214617000.00%30100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
7Condors330000003313222000000240241100000091861.0003358910285815192857297978013674196903133.33%30100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
8Crunch1010000034-11010000034-10000000000000.00034700858151932729797801365911417100.00%20100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
9Devils21100000844110000006151010000023-120.500814220085815199172979780136852419524125.00%6183.33%01084198454.64%1013186454.35%46682756.35%13009441102338622319
10Eagles330000001275110000005322200000074361.000122032008581519119729797801361062922915120.00%10190.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
11Griffins11000000422110000004220000000000021.000481200858151938729797801363784165120.00%20100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
12Gulls21100000761211000007610000000000020.50071219008581519947297978013672138476116.67%4175.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
13Heat421000101815311000000633311000101212060.7501833510085815192187297978013613034161009444.44%8187.50%11084198454.64%1013186454.35%46682756.35%13009441102338622319
14IceHogs31100010871110000004222010001045-140.6678122000858151912572979780136122291270400.00%60100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
15Marlies11000000312110000003120000000000021.00036900858151957729797801362410019600.00%000.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
16Monsters2200000014212110000009091100000052341.0001425390185815197572979780136792016604250.00%80100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
17Moose2200000015312110000008171100000072541.0001529440085815191757297978013650122271000.00%100100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
18Phantoms20100010770100000103211010000045-120.50071219008581519817297978013686242152500.00%2150.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
19Reign21100000440000000000002110000044020.5004610008581519577297978013678148604125.00%40100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
20Rocket211000005321010000002-21100000051420.50051015008581519877297978013656148495120.00%4175.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
21Senators1010000024-21010000024-20000000000000.00024600858151943729797801364415827300.00%4175.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
22Sound Tigers11000000505110000005050000000000021.0005914018581519377297978013620114273133.33%20100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
23Stars22000000743110000003211100000042241.00071320008581519647297978013670191649800.00%8275.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
24Thunderbirds11000000413000000000001100000041321.0004711008581519367297978013633104203133.33%20100.00%01084198454.64%1013186454.35%46682756.35%13009441102338622319
Total5029160003222012793251670001112254682513900021987325660.660220390610058581519234172979780136177345932712791082018.52%1422483.10%11084198454.64%1013186454.35%46682756.35%13009441102338622319
25Wild3120000011101211000007521010000045-120.333111728008581519111729797801361123824874250.00%11554.55%01084198454.64%1013186454.35%46682756.35%13009441102338622319
26Wolves2200000010640000000000022000000106441.0001017270085815196472979780136722124495120.00%11281.82%01084198454.64%1013186454.35%46682756.35%13009441102338622319
_Since Last GM Reset5029160003222012793251670001112254682513900021987325660.660220390610058581519234172979780136177345932712791082018.52%1422483.10%11084198454.64%1013186454.35%46682756.35%13009441102338622319
_Vs Conference3323800020160817914122000008024561911600020805723500.7581602824420485815191587729797801361146292213882661522.73%981485.71%11084198454.64%1013186454.35%46682756.35%13009441102338622319
_Vs Division16113000108942476610000049113810520001040319240.75089158247028581519872729797801365251238941131825.81%40685.00%11084198454.64%1013186454.35%46682756.35%13009441102338622319

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5066SOL122039061023411773459327127905
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5029160032220127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25167001112254
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2513900219873
Derniers 10 Matchs
WLOTWOTL SOWSOL
440002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1082018.52%1422483.10%1
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
729797801368581519
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
1084198454.64%1013186454.35%46682756.35%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13009441102338622319


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 - 2020-10-068Rampage1IceHogs3LSommaire du Match
4 - 2020-10-0827Admirals0Rampage3WSommaire du Match
5 - 2020-10-0932Rampage5Heat3WSommaire du Match
8 - 2020-10-1253Wild3Rampage6WSommaire du Match
11 - 2020-10-1573Stars2Rampage3WSommaire du Match
12 - 2020-10-1683Rampage3IceHogs2WXXSommaire du Match
15 - 2020-10-19108Condors0Rampage10WSommaire du Match
17 - 2020-10-21121Rampage4Eagles2WSommaire du Match
19 - 2020-10-23134Rampage6Wolves4WSommaire du Match
21 - 2020-10-25150Gulls5Rampage4LSommaire du Match
23 - 2020-10-27163Phantoms2Rampage3WXXSommaire du Match
24 - 2020-10-28176Rampage2Barracuda4LSommaire du Match
27 - 2020-10-31190Rampage4Heat3WXXSommaire du Match
29 - 2020-11-02207Rocket2Rampage0LSommaire du Match
32 - 2020-11-05225Rampage0Reign3LSommaire du Match
33 - 2020-11-06239Moose1Rampage8WSommaire du Match
36 - 2020-11-09258Rampage7Moose2WSommaire du Match
38 - 2020-11-11270Crunch4Rampage3LSommaire du Match
40 - 2020-11-13288Marlies1Rampage3WSommaire du Match
42 - 2020-11-15304Rampage4Wild5LSommaire du Match
44 - 2020-11-17319Rampage4Stars2WSommaire du Match
46 - 2020-11-19331Eagles3Rampage5WSommaire du Match
48 - 2020-11-21343Rampage3Heat6LSommaire du Match
49 - 2020-11-22358Devils1Rampage6WSommaire du Match
52 - 2020-11-25377Rampage4Thunderbirds1WSommaire du Match
53 - 2020-11-26388Rampage5Monsters2WSommaire du Match
55 - 2020-11-28401Sound Tigers0Rampage5WSommaire du Match
58 - 2020-12-01423Gulls1Rampage3WSommaire du Match
60 - 2020-12-03440Rampage9Condors1WSommaire du Match
62 - 2020-12-05453Heat3Rampage6WSommaire du Match
64 - 2020-12-07470Rampage3Eagles2WSommaire du Match
66 - 2020-12-09481Americans5Rampage2LSommaire du Match
70 - 2020-12-13505Rampage9Admirals6WSommaire du Match
71 - 2020-12-14517IceHogs2Rampage4WSommaire du Match
74 - 2020-12-17538Comets2Rampage12WSommaire du Match
76 - 2020-12-19553Rampage3Barracuda4LSommaire du Match
78 - 2020-12-21568Griffins2Rampage4WSommaire du Match
80 - 2020-12-23583Rampage0Bruins2LSommaire du Match
82 - 2020-12-25594Rampage2Devils3LSommaire du Match
83 - 2020-12-26605Monsters0Rampage9WSommaire du Match
87 - 2020-12-30632Rampage4Reign1WSommaire du Match
88 - 2020-12-31639Condors0Rampage14WSommaire du Match
91 - 2021-01-03660Senators4Rampage2LSommaire du Match
93 - 2021-01-05677Rampage3Checkers4LXXSommaire du Match
95 - 2021-01-07691Checkers4Rampage2LSommaire du Match
98 - 2021-01-10713Rampage5Rocket1WSommaire du Match
100 - 2021-01-12724Wild2Rampage1LSommaire du Match
102 - 2021-01-14745Rampage4Wolves2WSommaire du Match
104 - 2021-01-16754Rampage4Phantoms5LSommaire du Match
105 - 2021-01-17765Bruins5Rampage4LXXSommaire du Match
108 - 2021-01-20784Rampage-Bears-
110 - 2021-01-22793Bears-Rampage-
113 - 2021-01-25813Rampage-Sound Tigers-
114 - 2021-01-26825Wolf Pack-Rampage-
118 - 2021-01-30849Rocket-Rampage-
120 - 2021-02-01863Rampage-Wolf Pack-
122 - 2021-02-03880Rampage-Crunch-
124 - 2021-02-05889Penguins-Rampage-
127 - 2021-02-08910Barracuda-Rampage-
129 - 2021-02-10925Rampage-Comets-
131 - 2021-02-12941Thunderbirds-Rampage-
133 - 2021-02-14954Rampage-Gulls-
135 - 2021-02-16970Roadrunners-Rampage-
137 - 2021-02-18979Rampage-IceHogs-
138 - 2021-02-19988Rampage-Penguins-
140 - 2021-02-211008Reign-Rampage-
143 - 2021-02-241031Rampage-Roadrunners-
145 - 2021-02-261039Roadrunners-Rampage-
148 - 2021-03-011063Admirals-Rampage-
150 - 2021-03-031074Rampage-Marlies-
152 - 2021-03-051094Rampage-IceHogs-
153 - 2021-03-061101Rampage-Comets-
155 - 2021-03-081112Phantoms-Rampage-
157 - 2021-03-101130Moose-Rampage-
158 - 2021-03-111137Rampage-Senators-
161 - 2021-03-141162Rampage-Penguins-
163 - 2021-03-161173Stars-Rampage-
167 - 2021-03-201194Admirals-Rampage-
172 - 2021-03-251224Wolves-Rampage-
174 - 2021-03-271237Rampage-Griffins-
177 - 2021-03-301246Rampage-Americans-
180 - 2021-04-021269Wolves-Rampage-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,073,544$ 2,097,000$ 844,667$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,073,544$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 76 11,522$ 875,672$




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
Saison Régulière
281283900455246281-3541141800243118137-1940142100212128144-16562464346800190787392510805840831662673754104316343426619.30%3928179.34%21406265253.02%1381273250.55%679133051.05%1882127419836241058514
2823824043672612144741191003135133103304119140123212811117762614587192493847420259182686886180232766486016173756818.13%3515983.19%61497278353.79%1371263652.01%694130953.02%2038138818766231090556
382492502330258160984128901120147767141211601210111842798258450708311116686963003978102498525234271185015753816216.27%3494886.25%01792306958.39%1484274154.14%650115356.37%2139151117755921032538
38240300215423020327411717011321131121412313010221179126802303966263996636410253188680780664244968593316603386619.53%3796582.85%21317273648.14%1279282945.21%606120150.46%2059142018596051055536
482313701265229225441211201052135101344110250021394124-306222940163003876966122702887880917602681825161220065318015.07%6729985.27%61621298154.38%1536319348.11%626120851.82%1933128020026621047517
482402903136270239314122140201214812325411815011241221166802704907601211069851028749349719416123687021392175858610517.92%5749683.28%31830308259.38%1559274456.81%708128255.23%2181151117596181032538
582274004506249274-2541132103202130137-741141901304119137-18542493806292410071747291892898696557329198031619082084421.15%1373772.99%01038263339.42%1001299533.42%480129537.07%184913592173536942449
582372906064251192594118110503413396374119180103011896227425145170215909158183011955101998883232266664821702255122.67%2765181.52%41842291563.19%1414242758.26%757125260.46%2199159117645501022532
682244602415254320-6641112401212121163-4241132201203133157-2448254445699348696696302093210161051434018121540422251813619.89%1754077.14%31152268442.92%1333363636.66%493134236.74%175512422231572977459
68248260232134522911641298012101711026941191801111174127479634561395826134110975368011841238124325269373259721092386025.21%2294480.79%42112339962.14%1548274556.39%777135957.17%2204159217015461034548
78235360262130428915412115013101661313541142101311138158-20703044847883112396816331110931097110827324396640720522174118.89%1844277.17%21623306952.88%1458319445.65%686134551.00%199814611981542963481
782511601275360209151412570116117710671412690011418310380102360632992041381179712376311571304127566245673448020982095526.32%2113185.31%32042333361.27%1526269856.56%817139958.40%2310171216545321018538
88251240023239322616741251100122201121804126130011019210587102393708110134179116956393613291222135353277776944420171753520.00%1994676.88%01819314957.76%1546284554.34%807143556.24%220216351757523990515
88251240023239322616741251100122201121804126130011019210587102393708110134179116956393613291222135353277776944420171753520.00%1994676.88%01819314957.76%1546284554.34%807143556.24%220216351757523990515
9502916000322201279325167000111225468251390002198732566220390610058581519234172979780136177345932712791082018.52%1422483.10%11084198454.64%1013186454.35%46682756.35%13009441102338622319
Total Saison Régulière1197579441029385555426334148495993041950201735282216168353359827524609212027204717313161166426374401170326671706132511481424612714952152911547879940190116311075728125428982419.21%446980981.90%36239944361855.01%209954212449.84%100531917252.44%3025921562273828393148777561
Séries
2514000001427-1320200000612-631200000815-72142640006710153516141017453969325312.00%28871.43%09316058.13%7614153.90%458552.94%11478122386330
2211380000066501611650000030273107300000362313266612118712282314166221521420924661200193368781721.79%751284.00%141275054.93%32968747.89%15831949.53%535366480153276145
3844000002221142200000121204220000010918223759015890250807385122698510614544920.45%41685.37%013428047.86%12030239.74%6212549.60%1901262116410752
3624000001014-43030000049-53210000065141018281114411685447589170555310127622.22%24387.50%08819844.44%8621340.38%348340.96%13790153507937
4514000001114-32020000068-23120000056-121120310044301463841652162527212136822.22%31680.65%07719140.31%7617842.70%327343.84%12280121396432
5514000001217-52020000015-4312000001112-121222341042601444543542156364112216318.75%18666.67%08315752.87%8917052.35%467858.97%12085121386933
6161150000058441475200000272349630000031211022581071650224141825751791851991257615412242344511.36%54885.19%232662152.50%30161648.86%13026848.51%378253392126215107
773400000222204220000089-131200000141316224264001048028885959117206604818324520.83%23386.96%015629652.70%10421049.52%6311654.31%190132156539749
Total Séries7336370000021520963515200000094105-11382117000001211041772215393608368266634238674775980278237469573115562945619.05%2945282.31%31369265351.60%1181251746.92%570114749.69%178912131760563972488