Penguins

GP: 12 | W: 8 | L: 4
GF: 34 | GA: 23 | PP%: 15.25% | PK%: 93.83%
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 SP
1Nick Suzuki (R)X100.00734397836672827877827463255353745500
2Cedric PaquetteXX100.00944680827264885885646082536973694700
3Brandon GignacXX100.00696384636366695569554862465555575000
4Derek GrantXX100.00756684748166766190647889256566765500
5Blake Lizotte (R)X100.00674190815966696982715969255151675000
6Kirby Dach (R)X100.00654288847567827149686460755151685000
7Denis MalginXX100.00714289846261646652645955256363635000
8Evgeny Svechnikov (R)XX100.00757967687952515850545863554444605000
9Sammy Blais (R)X100.00994785877663666625646861254747705000
10Josh ArchibaldX100.00924593706364825925627185256060735000
11Matthew PhillipsXX100.00655394645368696580626560624444655000
12Max Comtois (R)X100.00869077787866677332667061754646705000
13Max JonesX100.00794482737667876338576666255555675000
14Nikolay GoldobinXX100.00746791816773756950686568625555695000
15Fabian Zetterlund (R)X100.00777094677057585650525664534444605000
16Cal FooteX100.00838382618378855225484266404444565000
17Luca SbisaX100.00865976777774515925534882257274635000
18Josh MahuraX100.00594093666569727125505060254646595000
19Libor HajekX100.00734387677568745725534782254747625000
Rayé
1Ivan Chekhovich (R)X100.00756695616669745050494761454444555000
2Isaac Ratcliffe (R)X100.00797979677970765050474863464444575000
3Martin Pospisil (R)X100.00616942636957585468545055484444535000
4Simon Holmstrom (R)X100.00766895646857585450475663534444595000
5Guillaume BriseboisX100.00706778686765704925414160395151535000
6Olli JuoleviX100.00746984686954545425544062384444545000
7Sean DayX100.00828477538451534825394164394444515000
8Simon BenoitX100.00757380647370765025444161394444545000
9Samuel Morin (R)X100.00807981697936354125283961374444485000
MOYENNE D'ÉQUIPE100.0076618471716469594656556641515162500
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
2Tristan Jarry100.0084747176897878828884755252815000
Rayé
1Michael Dipietro (R)100.0059678473586153625756304444595000
2Jon Gillies100.0058678491576154625756304545595000
MOYENNE D'ÉQUIPE100.006869818168696471706841464668500
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
1Luca SbisaPenguins (PIT)D123710521534121161127.27%924220.24246946000149000.00%000000.8200001111
2Cedric PaquettePenguins (PIT)C/LW122792407361851411.11%724420.381346470000691056.21%32200000.7400000010
3Josh ArchibaldPenguins (PIT)RW12639310091529101820.69%624120.101128470001661029.41%1700000.7500000100
4Blake LizottePenguins (PIT)C12268-300216266127.69%415913.2702208000041048.57%10500001.0000000011
5Sammy BlaisPenguins (PIT)LW12268212019111431114.29%120717.290113410000410026.32%3800000.7700000001
6Max JonesPenguins (PIT)LW12448-26013102652015.38%716814.01000250000170080.00%500000.9500000200
7Kirby DachPenguins (PIT)C122574802131941510.53%116413.69123537000010042.11%15200000.8500000011
8Nikolay GoldobinPenguins (PIT)LW/RW124373206191551426.67%417114.29213544000001041.67%1200000.8200000120
9Max ComtoisPenguins (PIT)LW12336412021112451912.50%320617.200118390000412030.00%1000000.5800000100
10Cal FootePenguins (PIT)D12235328036672728.57%1123419.54112545000056100.00%000000.4300000001
11Matthew PhillipsPenguins (PIT)C/RW12145040210218154.76%413711.4700003000000150.00%800000.7300000001
12Libor HajekPenguins (PIT)D1212351207680612.50%1424720.67101547000053000.00%000000.2400000000
13Michael RasmussenPenguinsC110222100101253100.00%511010.07000000000280048.28%8700000.3600000000
14Fabian ZetterlundPenguins (PIT)RW122020603894422.22%3847.0600000000001012.50%800000.4700000010
15Nick SuzukiPenguins (PIT)C1011-100026220.00%02121.2501116000000052.78%3600000.9400000000
16Jesper BoqvistPenguinsLW1101112017132160.00%0807.300000000000000.00%300000.2500000000
17Brandon GignacPenguins (PIT)C/LW1000000000000.00%022.500000000001000.00%100000.0000000000
18Derek GrantPenguins (PIT)C/LW1000-100332000.00%02121.5000016000000033.33%300000.0000000000
19Denis MalginPenguins (PIT)C/RW1000000000000.00%01212.480000000000000.00%000000.0000000000
20Evgeny SvechnikovPenguins (PIT)LW/RW1000-120100020.00%033.70000000000000100.00%100000.0000000000
21Josh MahuraPenguins (PIT)D1000000021000.00%02121.480001700000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1843457912613951761992547019613.39%79278415.13917265943700024348148.39%80800000.6500001676
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 JarryPenguins (PIT)128400.9091.7369503202190100.0000120210
2Kaapo KahkonenPenguins (PIT)10000.7277.8323003110000.0000012000
Stats d'équipe Total ou en Moyenne138400.9001.9271903232300100.00001212210


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
Blake LizottePenguins (PIT)C221997-12-12Yes172 Lbs5 ft7NoNoNo3Pro & Farm2,072,472$1,491,667$0$0$No1,491,667$1,491,667$Lien
Brandon GignacPenguins (PIT)C/LW221997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm975,000$450,000$0$0$No975,000$Lien
Cal FootePenguins (PIT)D211998-12-13No220 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$450,000$0$0$No1,425,000$Lien
Cedric PaquettePenguins (PIT)C/LW261993-08-13No198 Lbs6 ft1NoNoNo1Pro & Farm812,500$812,500$0$0$NoLien
Denis MalginPenguins (PIT)C/RW231997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm693,333$693,333$0$0$NoLien
Derek GrantPenguins (PIT)C/LW301990-04-20No215 Lbs6 ft3NoNoNo3Pro & Farm950,000$700,000$0$0$No700,000$700,000$Lien
Evgeny SvechnikovPenguins (PIT)LW/RW231996-10-31Yes212 Lbs6 ft3NoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Fabian ZetterlundPenguins (PIT)RW201999-08-25Yes196 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Guillaume BriseboisPenguins (PIT)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Isaac RatcliffePenguins (PIT)LW211999-02-15Yes201 Lbs6 ft6NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$
Ivan ChekhovichPenguins (PIT)LW211999-01-04Yes185 Lbs5 ft10NoNoNo3Pro & Farm903,333$903,333$0$0$No903,333$903,333$
Jon GilliesPenguins (PIT)G261994-01-21No223 Lbs6 ft6NoNoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Josh ArchibaldPenguins (PIT)RW271992-10-06No176 Lbs5 ft10NoNoNo2Pro & Farm675,000$675,000$0$0$No675,000$Lien
Josh MahuraPenguins (PIT)D221998-05-05No178 Lbs6 ft0NoNoNo3Pro & Farm910,833$910,833$0$0$No910,833$910,833$Lien
Kaapo KahkonenPenguins (PIT)G231996-08-16No223 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Kirby DachPenguins (PIT)C192001-01-20Yes198 Lbs6 ft4NoNoNo3Pro & Farm3,425,000$3,425,000$0$0$No3,425,000$3,425,000$
Libor HajekPenguins (PIT)D221998-02-03No202 Lbs6 ft2NoNoNo2Pro & Farm894,166$450,000$0$0$No894,166$Lien
Luca Sbisa (Contrat à 1 Volet)Penguins (PIT)D301990-01-30No209 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$150,000$0$NoLien
Martin PospisilPenguins (PIT)C201999-11-19Yes183 Lbs6 ft2NoNoNo3Pro & Farm810,000$810,000$0$0$No810,000$810,000$
Matthew PhillipsPenguins (PIT)C/RW221998-04-06No154 Lbs5 ft7NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Max ComtoisPenguins (PIT)LW211999-01-08Yes207 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Max JonesPenguins (PIT)LW221998-02-16No203 Lbs6 ft3NoNoNo2Pro & Farm863,333$450,000$0$0$No863,333$Lien
Michael DipietroPenguins (PIT)G211999-06-09Yes200 Lbs6 ft0NoNoNo3Pro & Farm910,833$910,833$0$0$No910,833$910,833$
Nick SuzukiPenguins (PIT)C201999-08-10Yes183 Lbs5 ft11NoNoNo3Pro & Farm1,325,833$1,325,833$0$0$No1,325,833$1,325,833$
Nikolay GoldobinPenguins (PIT)LW/RW241995-10-07No185 Lbs5 ft11NoNoNo2Pro & Farm1,075,833$1,075,833$0$0$No1,075,833$Lien
Olli JuoleviPenguins (PIT)D221998-05-04No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$450,000$0$0$No1,913,333$Lien
Sammy BlaisPenguins (PIT)LW241996-06-17Yes205 Lbs6 ft2NoNoNo1Pro & Farm725,833$725,833$0$0$NoLien
Samuel MorinPenguins (PIT)D241995-07-12Yes203 Lbs6 ft6NoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien
Sean DayPenguins (PIT)D221998-01-08No231 Lbs6 ft2NoNoNo2Pro & Farm975,000$450,000$0$0$No975,000$Lien
Simon BenoitPenguins (PIT)D211998-09-19No192 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Simon HolmstromPenguins (PIT)RW192001-05-24Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Tristan JarryPenguins (PIT)G251995-04-25No194 Lbs6 ft2NoNoNo1Pro & Farm675,000$450,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3222.72195 Lbs6 ft12.131,096,535$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Derek GrantNick SuzukiJosh Archibald35113
2Sammy BlaisCedric PaquetteNikolay Goldobin30122
3Max ComtoisKirby DachDenis Malgin25122
4Max JonesBlake LizotteMatthew Phillips10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek35122
2Josh MahuraCal Foote30122
3Blake LizotteMax Jones25122
4Luca SbisaLibor Hajek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Derek GrantNick SuzukiJosh Archibald60122
2Sammy BlaisCedric PaquetteNikolay Goldobin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek60122
2Josh MahuraCal Foote40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick SuzukiDerek Grant60122
2Cedric PaquetteJosh Archibald40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek60122
2Josh MahuraCal Foote40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Suzuki60122Luca SbisaLibor Hajek60122
2Derek Grant40122Josh MahuraCal Foote40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick SuzukiDerek Grant60122
2Cedric PaquetteJosh Archibald40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek60122
2Josh MahuraCal Foote40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Derek GrantNick SuzukiJosh ArchibaldLuca SbisaLibor Hajek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Derek GrantNick SuzukiJosh ArchibaldLuca SbisaLibor Hajek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Fabian Zetterlund, Evgeny Svechnikov, Brandon GignacFabian Zetterlund, Evgeny SvechnikovBrandon Gignac
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Mahura, Cal Foote, Luca SbisaJosh MahuraCal Foote, Luca Sbisa
Tirs de Pénalité
Nick Suzuki, Derek Grant, Cedric Paquette, Josh Archibald, Kirby Dach
Gardien
#1 : Tristan Jarry, #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
1Monarchs431000001468220000007252110000074360.75014223600891708580829207233776920420.00%36197.22%015430850.00%15533346.55%8216749.10%2862062968713764
2Sound Tigers33000000835110000003212200000051461.0008142201891706180829205316324617317.65%16287.50%015430850.00%15533346.55%8216749.10%2862062968713764
Total12840000034231153200000131127520000021129160.667345791038917025480829202308816920759915.25%81593.83%015430850.00%15533346.55%8216749.10%2862062968713764
4Wolf Pack523000001214-22020000037-43210000097240.400122133028917010880829201053960922229.09%29293.10%015430850.00%15533346.55%8216749.10%2862062968713764
_Since Last GM Reset12840000034231153200000131127520000021129160.667345791038917025480829202308816920759915.25%81593.83%015430850.00%15533346.55%8216749.10%2862062968713764
_Vs Conference7610000022913330000001046431000001257120.857223658018917014680829201254910911537718.92%52394.23%015430850.00%15533346.55%8216749.10%2862062968713764
_Vs Division431000001468220000007252110000074360.75014223600891708580829207233776920420.00%36197.22%015430850.00%15533346.55%8216749.10%2862062968713764

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1216L33457912542308816920703
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
128400003423
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001311
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
75200002112
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
59915.25%81593.83%0
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
808292089170
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
15430850.00%15533346.55%8216749.10%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2862062968713764


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 - 2020-06-223Penguins2Monarchs3LSommaire du Match
2 - 2020-06-237Penguins5Monarchs1WSommaire du Match
3 - 2020-06-2411Monarchs1Penguins5WSommaire du Match
4 - 2020-06-2515Monarchs1Penguins2WSommaire du Match
6 - 2020-06-2722Penguins3Sound Tigers1WSommaire du Match
7 - 2020-06-2824Penguins2Sound Tigers0WSommaire du Match
8 - 2020-06-2926Sound Tigers2Penguins3WSommaire du Match
11 - 2020-07-0231Penguins2Wolf Pack0WSommaire du Match
12 - 2020-07-0332Penguins4Wolf Pack0WSommaire du Match
13 - 2020-07-0433Wolf Pack3Penguins1LSommaire du Match
14 - 2020-07-0534Wolf Pack4Penguins2LSommaire du Match
15 - 2020-07-0635Penguins3Wolf Pack7LSommaire du Match



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
-5 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,358,910$ 2,771,247$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
20201284000003423115320000013112752000002112916345791038917025480829202308816920759915.25%81593.83%015430850.00%15533346.55%8216749.10%2862062968713764
Total Séries1284000003423115320000013112752000002112916345791038917025480829202308816920759915.25%81593.83%015430850.00%15533346.55%8216749.10%2862062968713764