Penguins
GP: 82 | W: 52 | L: 22 | OTL: 8 | P: 112
GF: 218 | GA: 152 | PP%: 12.95% | PK%: 90.65%
DG: Christian Cheminais | Morale : 50 | Moyenne d'Équipe : N/A
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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
1David KampfXXX100.00694396767265846184606085756363684500251925,000$
2Brandon GignacXX100.00696384636366695569554862465555575000222975,000$
3Kirby Dach (R)X100.006542888475678271496864607551516846001933,425,000$
4Denis GurianovXX100.00755493787663897325628253255555736300232894,166$
5Denis MalginXX100.00714289846261646652645955256363635000231693,333$
6Evgeny Svechnikov (R)XX100.007579676879525158505458635544446050002311,075,833$
7Sammy Blais (R)X100.00994785877663666625646861254747705000241725,833$
8Matthew PhillipsXX100.00655394645368696580626560624444655000223750,000$
9Max Comtois (R)X100.00869077787866677332667061754646705000212925,000$
10Max JonesX100.00794482737667876338576666255555675000222863,333$
11Michael RasmussenX100.008485836885666762786158705551516450002121,710,833$
12Jesper Boqvist (R)X100.00764392866357706635506061754747645000213925,000$
13Nikolay GoldobinXX100.007467918167737569506865686255556944002421,075,833$
14Simon Holmstrom (R)X100.00766895646857585450475663534444595000193925,000$
15Fabian Zetterlund (R)X100.007770946770575856505256645344446050002011,000,000$
16Cal FooteX100.008383826183788552254842664044445650002121,425,000$
17Josh MahuraX100.00594093666569727125505060254646595000223910,833$
18Libor HajekX100.00734387677568745725534782254747625000222894,166$
19Olli JuoleviX100.007469846869545454255440623844445450002221,913,333$
Rayé
1Ivan Chekhovich (R)X100.00756695616669745050494761454444555000213903,333$
2Isaac Ratcliffe (R)X100.00797979677970765050474863464444575000213863,333$
3Martin Pospisil (R)X100.00616942636957585468545055484444535000203810,000$
4Guillaume BriseboisX100.007067786867657049254141603951515350002211,000,000$
5Sean DayX100.00828477538451534825394164394444515000222975,000$
6Simon BenoitX100.007573806473707650254441613944445450002111,000,000$
7Samuel Morin (R)X100.008079816979363541252839613744444850002411,363,333$
MOYENNE D'ÉQUIPE100.0075638470726369594454556346484861500
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
1Kaapo Kahkonen100.0069698684687770767876304444725000
2Jon Gillies100.0058678491576154625756304545595000
Rayé
1Michael Dipietro (R)100.0059678473586153625756304444594300
MOYENNE D'ÉQUIPE100.006268858361665967646330444463480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Crawford81768483878159CAN6135,000,000$


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
1Max ComtoisPenguins (PIT)LW822933621814620229821634313217.79%9138516.89914234934200001419135.77%24600000.90110221055
2Denis MalginPenguins (PIT)C/RW8217355234240409696236117.71%4119614.596814192190001674145.77%34300000.8700000355
3Kirby DachPenguins (PIT)C8015365113160261351343610011.19%6161820.23315182733000073573148.11%156300000.6324000332
4David KampfPenguins (PIT)C/LW/RW751832501740132131523811611.84%25151620.2299184531202243395264.44%136400000.66110000182
5Sammy BlaisPenguins (PIT)LW822127482013352191041495810814.09%14165420.17881638340112103754130.43%11500000.58311100743
6Nikolay GoldobinPenguins (PIT)LW/RW7619284717140381221404910513.57%7133517.57513184333600031593142.93%18400000.7017000656
7Max JonesPenguins (PIT)LW82241842299551161021303510318.46%12103112.580002141011516333.87%6200010.8100000771
8Libor HajekPenguins (PIT)D8273138151140158718225468.54%93183522.39189493501234377100.00%000000.4100000123
9Matthew PhillipsPenguins (PIT)C/RW8111243521120216693336011.83%396711.95123933000003045.24%4200000.7211000331
10Michael RasmussenPenguins (PIT)C82815237118101068352184915.38%2498011.9600001000001160.93%34300000.4711101212
11Josh MahuraPenguins (PIT)D76912219260432049142518.37%46173222.796410373230220381200.00%000100.2400000012
12Cal FootePenguins (PIT)D826142017167151944740102215.00%66175721.43549253440002376000.00%000000.2300003013
13Jesper BoqvistPenguins (PIT)LW5211112163805434214124.76%2878715.140000000001000.00%200000.3001000001
14Evgeny SvechnikovPenguins (PIT)LW/RW7665111555454542201914.29%95246.9000000000002056.25%1600000.4200000121
15Fabian ZetterlundPenguins (PIT)RW76461031601928507318.00%64586.040332310000161043.08%13000000.4400000101
16Olli JuoleviPenguins (PIT)D58459860057312371017.39%36117620.28426152060000256010.00%000000.1500000010
17Luca SbisaPenguinsD6145612013363416.67%513622.67000526101131000.00%000000.7400000000
18Cedric PaquettePenguinsC/LW622434016161841011.11%312120.300003240001350065.56%15100000.6600000101
19Simon BenoitPenguins (PIT)D20134434023121650.00%1431415.71000020000030000.00%000000.2500000001
20Sean DayPenguins (PIT)D201123301036841125.00%1031115.5900007000047100.00%000000.1300101100
21Simon HolmstromPenguins (PIT)RW5202216051111680.00%32374.56011524000080050.00%1800000.1700000000
22Ivan ChekhovichPenguins (PIT)LW3011200000010.00%0217.330000000001000100.00%200000.9100000000
23Samuel MorinPenguins (PIT)D3011420311000.00%34916.440001300006000.00%000000.4100000000
24Brandon GignacPenguins (PIT)C/LW6000000222120.00%0305.1100000000000027.27%2200000.0000000000
25Guillaume BriseboisPenguins (PIT)D14000-22001276110.00%1129320.97000361000059000.00%000000.0000000000
26Isaac RatcliffePenguins (PIT)LW35000-3100856150.00%41624.650001180001660053.85%1300000.0000000000
Stats d'équipe Total ou en Moyenne1389204346550263115670149613331472438103713.86%4412163815.58579114837833744711353197451252.58%461600110.511036327474840
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
1Tristan JarryPenguins52391030.9221.483126213779880100.75012520645
2Kaapo KahkonenPenguins (PIT)27101150.8902.21154520575190200.455222672011
3Michael DipietroPenguins (PIT)10000.8003.531700150000.000006000
Stats d'équipe Total ou en Moyenne80492180.9111.73468941313515120300.559347878656


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Brandon GignacPenguins (PIT)C/LW221997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm975,000$7,863$450,000$3,629$0$0$No975,000$Lien
Cal FootePenguins (PIT)D211998-12-13No220 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$11,492$450,000$3,629$0$0$No1,425,000$Lien
David KampfPenguins (PIT)C/LW/RW251995-01-12No191 Lbs6 ft2NoNoNo1Pro & Farm925,000$7,460$925,000$7,460$0$0$NoLien
Denis GurianovPenguins (PIT)LW/RW231997-06-07No200 Lbs6 ft3NoNoNo2Pro & Farm894,166$7,211$894,166$7,211$0$0$No894,166$Lien
Denis MalginPenguins (PIT)C/RW231997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm693,333$5,591$693,333$5,591$0$0$NoLien
Evgeny SvechnikovPenguins (PIT)LW/RW231996-10-31Yes212 Lbs6 ft3NoNoNo1Pro & Farm1,075,833$8,676$1,075,833$8,676$0$0$NoLien
Fabian ZetterlundPenguins (PIT)RW201999-08-25Yes196 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Guillaume BriseboisPenguins (PIT)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Isaac RatcliffePenguins (PIT)LW211999-02-15Yes201 Lbs6 ft6NoNoNo3Pro & Farm863,333$6,962$863,333$6,962$0$0$No863,333$863,333$
Ivan ChekhovichPenguins (PIT)LW211999-01-04Yes185 Lbs5 ft10NoNoNo3Pro & Farm903,333$7,285$903,333$7,285$0$0$No903,333$903,333$
Jesper BoqvistPenguins (PIT)LW211998-10-30Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Jon GilliesPenguins (PIT)G261994-01-21No223 Lbs6 ft6NoNoNo4Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$750,000$750,000$Lien
Josh MahuraPenguins (PIT)D221998-05-05No178 Lbs6 ft0NoNoNo3Pro & Farm910,833$7,345$910,833$7,345$0$0$No910,833$910,833$Lien
Kaapo KahkonenPenguins (PIT)G231996-08-16No223 Lbs6 ft2NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$Lien
Kirby DachPenguins (PIT)C192001-01-20Yes198 Lbs6 ft4NoNoNo3Pro & Farm3,425,000$27,621$3,425,000$27,621$0$0$No3,425,000$3,425,000$
Libor HajekPenguins (PIT)D221998-02-03No202 Lbs6 ft2NoNoNo2Pro & Farm894,166$7,211$450,000$3,629$0$0$No894,166$Lien
Martin PospisilPenguins (PIT)C201999-11-19Yes183 Lbs6 ft2NoNoNo3Pro & Farm810,000$6,532$810,000$6,532$0$0$No810,000$810,000$
Matthew PhillipsPenguins (PIT)C/RW221998-04-06No154 Lbs5 ft7NoNoNo3Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$750,000$Lien
Max ComtoisPenguins (PIT)LW211999-01-08Yes207 Lbs6 ft2NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Max JonesPenguins (PIT)LW221998-02-16No203 Lbs6 ft3NoNoNo2Pro & Farm863,333$6,962$450,000$3,629$0$0$No863,333$Lien
Michael DipietroPenguins (PIT)G211999-06-09Yes200 Lbs6 ft0NoNoNo3Pro & Farm910,833$7,345$910,833$7,345$0$0$No910,833$910,833$
Michael RasmussenPenguins (PIT)C211999-04-17No220 Lbs6 ft6NoNoNo2Pro & Farm1,710,833$13,797$450,000$3,629$0$0$No1,710,833$Lien
Nikolay GoldobinPenguins (PIT)LW/RW241995-10-07No185 Lbs5 ft11NoNoNo2Pro & Farm1,075,833$8,676$1,075,833$8,676$0$0$No1,075,833$Lien
Olli JuoleviPenguins (PIT)D221998-05-04No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$15,430$450,000$3,629$0$0$No1,913,333$Lien
Sammy BlaisPenguins (PIT)LW241996-06-17Yes205 Lbs6 ft2NoNoNo1Pro & Farm725,833$5,853$725,833$5,853$0$0$NoLien
Samuel MorinPenguins (PIT)D241995-07-12Yes203 Lbs6 ft6NoNoNo1Pro & Farm1,363,333$10,995$1,363,333$10,995$0$0$NoLien
Sean DayPenguins (PIT)D221998-01-08No231 Lbs6 ft2NoNoNo2Pro & Farm975,000$7,863$450,000$3,629$0$0$No975,000$Lien
Simon BenoitPenguins (PIT)D211998-09-19No192 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Simon HolmstromPenguins (PIT)RW192001-05-24Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2921.97196 Lbs6 ft22.141,087,356$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sammy BlaisDavid KampfNikolay Goldobin35005
2Max ComtoisKirby DachDenis Malgin30005
3Max JonesMatthew Phillips25113
4Jesper BoqvistMichael RasmussenEvgeny Svechnikov10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura35122
2Cal FooteOlli Juolevi30122
3Michael RasmussenJesper Boqvist25122
4Libor HajekJosh Mahura10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sammy BlaisDavid KampfNikolay Goldobin60005
2Max ComtoisKirby DachDenis Malgin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura60005
2Cal FooteOlli Juolevi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1David KampfSammy Blais60122
2Nikolay GoldobinKirby Dach40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura60122
2Cal FooteOlli Juolevi40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1David Kampf60122Libor HajekJosh Mahura60122
2Sammy Blais40122Cal FooteOlli Juolevi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1David KampfSammy Blais60122
2Nikolay GoldobinKirby Dach40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura60122
2Cal FooteOlli Juolevi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sammy BlaisDavid KampfNikolay GoldobinLibor HajekJosh Mahura
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sammy BlaisDavid KampfNikolay GoldobinLibor HajekJosh Mahura
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Fabian Zetterlund, Simon Holmstrom, Fabian Zetterlund, Simon Holmstrom
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cal Foote, Olli Juolevi, Libor HajekCal FooteOlli Juolevi, Libor Hajek
Tirs de Pénalité
David Kampf, Sammy Blais, Nikolay Goldobin, Kirby Dach, Max Comtois
Gardien
#1 : , #2 : Kaapo Kahkonen


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
1Admirals220000001138110000003211100000081741.000111829006110053103852152649953396344114321.43%17288.24%01206219155.04%1247237052.62%571112350.85%204014251956602982493
2Bruins310000021082210000017431000000134-140.6671018280061100531065521526499537019405819526.32%19289.47%11206219155.04%1247237052.62%571112350.85%204014251956602982493
3Condors22000000853110000004311100000042241.000815230061100531047521526499534113333119421.05%11281.82%01206219155.04%1247237052.62%571112350.85%204014251956602982493
4Crunch32100000422211000002201100000020240.6674610016110053104452152649953511754341600.00%23195.65%01206219155.04%1247237052.62%571112350.85%204014251956602982493
5Flames22000000413110000001011100000031241.00047110161100531030521526499533710154616212.50%50100.00%01206219155.04%1247237052.62%571112350.85%204014251956602982493
6Griffins330000001248220000009271100000032161.0001222340061100531070521526499536219536314428.57%22290.91%01206219155.04%1247237052.62%571112350.85%204014251956602982493
7IceHogs2010010057-21000010023-11010000034-110.25051015006110053104352152649953571530558112.50%14192.86%01206219155.04%1247237052.62%571112350.85%204014251956602982493
8Marlies431000001183211000003212200000086260.750111728016110053107852152649953803462681600.00%29389.66%11206219155.04%1247237052.62%571112350.85%204014251956602982493
9Monarchs2020000037-41010000025-31010000012-100.0003580061100531031521526499534413243411218.18%12191.67%01206219155.04%1247237052.62%571112350.85%204014251956602982493
10Monsters84200011231112422000001156420000111266110.68823396203611005310149521526499531232710813949510.20%49295.92%01206219155.04%1247237052.62%571112350.85%204014251956602982493
11Moose22000000523110000002111100000031241.000581300611005310285215264995332644439111.11%20290.00%01206219155.04%1247237052.62%571112350.85%204014251956602982493
12Phantoms8440000016133422000009634220000077080.5001630460361100531017152152649953139421161375335.66%42490.48%01206219155.04%1247237052.62%571112350.85%204014251956602982493
13Rampage22000000734110000005231100000021141.00071320006110053105452152649953391427357114.29%100100.00%01206219155.04%1247237052.62%571112350.85%204014251956602982493
14Rocket32000010624100000102112200000041361.00069150161100531043521526499534210365314321.43%18194.44%01206219155.04%1247237052.62%571112350.85%204014251956602982493
15Senators430000011174210000014402200000073470.875112132006110053108952152649953611953861119.09%23386.96%01206219155.04%1247237052.62%571112350.85%204014251956602982493
16Sharks2110000046-2110000004311010000003-320.5004610006110053103952152649953401020388112.50%10370.00%01206219155.04%1247237052.62%571112350.85%204014251956602982493
17Soldiers21100000761110000004131010000035-220.500711180061100531026521526499535114344113430.77%15380.00%11206219155.04%1247237052.62%571112350.85%204014251956602982493
18Sound Tigers13750001035251065100000201197240001015141160.6153561960161100531026652152649953295882062466657.58%92693.48%11206219155.04%1247237052.62%571112350.85%204014251956602982493
19Stars22000000422110000003211100000010141.0004711016110053104952152649953459254313215.38%10190.00%01206219155.04%1247237052.62%571112350.85%204014251956602982493
20Wolf Pack833000021718-141200001911-24210000187180.50017304701611005310128521526499531664511916438718.42%49491.84%01206219155.04%1247237052.62%571112350.85%204014251956602982493
21Wolves52100011151232200000072530100011810-270.700152540016110053107552152649953106377910026311.54%34682.35%01206219155.04%1247237052.62%571112350.85%204014251956602982493
Total82482200147218152664126100011311372414122120003410580251120.6832183785960146110053101563521526499531620467121215554405712.95%5244990.65%41206219155.04%1247237052.62%571112350.85%204014251956602982493
_Since Last GM Reset82482200147218152664126100011311372414122120003410580251120.6832183785960146110053101563521526499531620467121215554405712.95%5244990.65%41206219155.04%1247237052.62%571112350.85%204014251956602982493
_Vs Conference43241100026102703222108000134835132114300013543519580.674102177279011611005310797521526499537692236037852322611.21%2572092.22%21206219155.04%1247237052.62%571112350.85%204014251956602982493
_Vs Division371390001391672418660000149331619730001242348310.419911602510861100531071452152649953723202549686206209.71%2321693.10%11206219155.04%1247237052.62%571112350.85%204014251956602982493

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82112L22183785961563162046712121555014
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8248220147218152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412610011311372
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412212003410580
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
4405712.95%5244990.65%4
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
52152649953611005310
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
1206219155.04%1247237052.62%571112350.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
204014251956602982493


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 - 2020-09-275Penguins1Sound Tigers2LSommaire du Match
2 - 2020-09-2814Sound Tigers2Penguins3WSommaire du Match
4 - 2020-09-3029Penguins1Sound Tigers2LSommaire du Match
5 - 2020-10-0140Sound Tigers1Penguins5WSommaire du Match
7 - 2020-10-0354Wolf Pack5Penguins3LSommaire du Match
9 - 2020-10-0565Penguins1Sound Tigers2LSommaire du Match
10 - 2020-10-0673Monsters1Penguins0LSommaire du Match
12 - 2020-10-0886Penguins1Stars0WSommaire du Match
14 - 2020-10-1094Penguins0Sound Tigers3LSommaire du Match
16 - 2020-10-12103Sound Tigers3Penguins4WSommaire du Match
18 - 2020-10-14114Phantoms0Penguins3WSommaire du Match
20 - 2020-10-16124Penguins3Monsters0WSommaire du Match
21 - 2020-10-17134Penguins2Wolf Pack3LXXSommaire du Match
23 - 2020-10-19149Phantoms1Penguins3WSommaire du Match
24 - 2020-10-20158Penguins6Sound Tigers2WSommaire du Match
25 - 2020-10-21167Sound Tigers3Penguins6WSommaire du Match
27 - 2020-10-23184Penguins3Marlies2WSommaire du Match
28 - 2020-10-24191IceHogs3Penguins2LXSommaire du Match
30 - 2020-10-26205Marlies2Penguins1LSommaire du Match
32 - 2020-10-28217Penguins0Sharks3LSommaire du Match
34 - 2020-10-30227Penguins4Senators1WSommaire du Match
37 - 2020-11-02238Monsters0Penguins2WSommaire du Match
38 - 2020-11-03248Monsters1Penguins7WSommaire du Match
40 - 2020-11-05255Penguins3Sound Tigers1WSommaire du Match
43 - 2020-11-08273Griffins1Penguins6WSommaire du Match
45 - 2020-11-10291Moose1Penguins2WSommaire du Match
47 - 2020-11-12308Penguins2Rampage1WSommaire du Match
48 - 2020-11-13310Penguins0Phantoms4LSommaire du Match
49 - 2020-11-14318Wolf Pack1Penguins3WSommaire du Match
50 - 2020-11-15332Penguins1Phantoms0WSommaire du Match
51 - 2020-11-16336Monsters3Penguins2LSommaire du Match
53 - 2020-11-18352Penguins2Rocket0WSommaire du Match
54 - 2020-11-19361Flames0Penguins1WSommaire du Match
55 - 2020-11-20375Penguins3IceHogs4LSommaire du Match
56 - 2020-11-21384Sound Tigers0Penguins1WSommaire du Match
57 - 2020-11-22396Penguins3Soldiers5LSommaire du Match
58 - 2020-11-23402Soldiers1Penguins4WSommaire du Match
60 - 2020-11-25415Penguins3Sound Tigers2WXXSommaire du Match
61 - 2020-11-26426Penguins3Monsters0WSommaire du Match
63 - 2020-11-28435Rampage2Penguins5WSommaire du Match
64 - 2020-11-29448Monarchs5Penguins2LSommaire du Match
66 - 2020-12-01460Penguins3Senators2WSommaire du Match
67 - 2020-12-02472Wolves2Penguins3WSommaire du Match
68 - 2020-12-03484Penguins1Monarchs2LSommaire du Match
70 - 2020-12-05495Wolves0Penguins4WSommaire du Match
71 - 2020-12-06501Penguins5Wolves4WXXSommaire du Match
72 - 2020-12-07515Senators3Penguins2LXXSommaire du Match
74 - 2020-12-09527Penguins4Phantoms0WSommaire du Match
75 - 2020-12-10539Stars2Penguins3WSommaire du Match
76 - 2020-12-11541Penguins1Wolf Pack0WSommaire du Match
78 - 2020-12-13559Crunch1Penguins0LSommaire du Match
79 - 2020-12-14570Rocket1Penguins2WXXSommaire du Match
80 - 2020-12-15578Penguins2Crunch0WSommaire du Match
82 - 2020-12-17591Penguins2Phantoms3LSommaire du Match
84 - 2020-12-19599Griffins1Penguins3WSommaire du Match
85 - 2020-12-20610Penguins5Marlies4WSommaire du Match
86 - 2020-12-21618Penguins3Wolf Pack1WSommaire du Match
88 - 2020-12-23631Crunch1Penguins2WSommaire du Match
90 - 2020-12-25645Marlies0Penguins2WSommaire du Match
91 - 2020-12-26654Penguins8Admirals1WSommaire du Match
93 - 2020-12-28667Senators1Penguins2WSommaire du Match
94 - 2020-12-29676Penguins3Griffins2WSommaire du Match
95 - 2020-12-30688Penguins4Condors2WSommaire du Match
96 - 2020-12-31699Admirals2Penguins3WSommaire du Match
97 - 2021-01-01710Penguins2Rocket1WSommaire du Match
99 - 2021-01-03720Condors3Penguins4WSommaire du Match
101 - 2021-01-05734Sharks3Penguins4WSommaire du Match
102 - 2021-01-06747Penguins3Monsters4LXXSommaire du Match
103 - 2021-01-07754Wolf Pack3Penguins2LXXSommaire du Match
104 - 2021-01-08765Penguins2Wolf Pack3LSommaire du Match
105 - 2021-01-09776Wolf Pack2Penguins1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11788Penguins1Wolves2LXXSommaire du Match
108 - 2021-01-12793Penguins3Monsters2WXXSommaire du Match
109 - 2021-01-13803Penguins3Bruins4LXXSommaire du Match
110 - 2021-01-14810Penguins3Flames1WSommaire du Match
112 - 2021-01-16823Sound Tigers2Penguins1LSommaire du Match
113 - 2021-01-17833Bruins1Penguins5WSommaire du Match
115 - 2021-01-19848Phantoms3Penguins2LSommaire du Match
117 - 2021-01-21865Penguins3Moose1WSommaire du Match
118 - 2021-01-22875Bruins3Penguins2LXXSommaire du Match
119 - 2021-01-23880Penguins2Wolves4LSommaire du Match
121 - 2021-01-25891Phantoms2Penguins1LSommaire 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
8,231,144$ 3,153,330$ 2,545,164$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 3,271,509$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 65,753$ 65,753$




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