Penguins

GP: 7 | W: 2 | L: 5 | OTL: 0 | P: 4
GF: 11 | GA: 16 | PP%: 10.81% | PK%: 81.48%
DG: Christian Cheminais | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #82 vs Phantoms
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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
1David KampfXXX100.00694396767265846184606085756363684200
2Cedric PaquetteXX100.00944680827264885885646082536973694100
3Blake Lizotte (R)X100.00674190815966696982715969255151675000
4Kirby Dach (R)X100.00654288847567827149686460755151685000
5Denis MalginXX100.00714289846261646652645955256363635000
6Sammy Blais (R)X100.00994785877663666625646861254747705000
7Matthew PhillipsXX100.00655394645368696580626560624444655000
8Max Comtois (R)X100.00869077787866677332667061754646705000
9Max JonesX100.00794482737667876338576666255555675000
10Michael RasmussenX100.00848583688566676278615870555151645000
11Nikolay GoldobinXX100.00746791816773756950686568625555695000
12Isaac Ratcliffe (R)X100.00797979677970765050474863464444575000
13Cal FooteX100.00838382618378855225484266404444565000
14Luca SbisaX100.00865976777774515925534882257274635000
15Libor HajekX100.00734387677568745725534782254747625000
16Olli JuoleviX100.00746984686954545425544062384444545000
17Sean DayX100.00828477538451534825394164394444515000
18Simon BenoitX100.00757380647370765025444161394444545000
Rayé
1Brandon GignacXX100.00696384636366695569554862465555575000
2Evgeny Svechnikov (R)XX100.00757967687952515850545863554444605000
3Jesper Boqvist (R)X100.00764392866357706635506061754747645000
4Ivan Chekhovich (R)X100.00756695616669745050494761454444555000
5Martin Pospisil (R)X100.00616942636957585468545055484444535000
6Simon Holmstrom (R)X100.00766895646857585450475663534444595000
7Fabian Zetterlund (R)X100.00777094677057585650525664534444605000
8Guillaume BriseboisX100.00706778686765704925414160395151535000
9Josh MahuraX100.00594093666569727125505060254646595000
10Samuel Morin (R)X100.00807981697936354125283961374444485000
MOYENNE D'ÉQUIPE100.0076628471726368594754546546505061490
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
2Michael Dipietro (R)100.0059678473586153625756304444595000
Rayé
1Jon Gillies100.0058678491576154625756304545595000
2Tristan Jarry100.0084747176897878828884755252815000
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
1Blake LizottePenguins (PIT)C622402021172328.57%08914.87112214000051054.17%7200000.9000000200
2Max JonesPenguins (PIT)LW61341405671714.29%08213.8001102000091042.86%700000.9700000100
3Denis MalginPenguins (PIT)C/RW3022120255220.00%04715.70022012000000075.00%400000.8500000010
4Luca SbisaPenguins (PIT)D6112-131517953320.00%613121.87011322000023000.00%000000.3000001000
5Max ComtoisPenguins (PIT)LW6202-1221011781525.00%010217.152024190000210033.33%300000.3900011001
6Olli JuoleviPenguins (PIT)D6022040743420.00%111419.06011318000025000.00%000000.3500000000
7Cal FootePenguins (PIT)D60110215832030.00%612721.30011221000027000.00%000000.1600001000
8Kirby DachPenguins (PIT)C6011-1200139250.00%010417.36000319000090048.19%8300000.1900000000
9Sammy BlaisPenguins (PIT)LW61010608613297.69%110818.030004200000260140.91%2200000.1800000010
10Matthew PhillipsPenguins (PIT)C/RW61010201480112.50%07111.840000200000000.00%000000.2800000000
11Simon BenoitPenguins (PIT)D60113100201000.00%310317.1900007000014000.00%000000.1900000000
12Jesper BoqvistPenguins (PIT)LW5011120114220.00%1275.550000000000000.00%100000.7200000000
13Nikolay GoldobinPenguins (PIT)LW/RW6011-195077280.00%08414.04000220000030025.00%400000.2400001000
14Isaac RatcliffePenguins (PIT)LW31010202321250.00%1279.0210113000000050.00%400000.7400000001
15Fabian ZetterlundPenguins (PIT)RW5011120111000.00%0265.33000000000000100.00%100000.7500000000
16David KampfPenguins (PIT)C/LW/RW1000020010120.00%01212.5300004000000050.00%200000.0000000000
17Cedric PaquettePenguins (PIT)C/LW40000956190040.00%28020.160000120000290061.95%11300000.0000001000
18Josh ArchibaldPenguinsRW3000055213130.00%36220.69000070002280025.00%400000.0000010000
19Libor HajekPenguins (PIT)D6000-220572110.00%213422.38000221000032000.00%000000.0000000000
20Michael RasmussenPenguins (PIT)C6000240762150.00%17412.47000000000180060.71%5600000.0000000000
21Sean DayPenguins (PIT)D60002951041020.00%39415.7800002000022000.00%000000.0000100000
Stats d'équipe Total ou en Moyenne108916255152409711890266910.00%30170615.8047112623400022982154.52%37600000.2900125322
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
1Kaapo KahkonenPenguins (PIT)62400.8712.013580012930100.000060001
Stats d'équipe Total ou en Moyenne62400.8712.013580012930100.000060001


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$2,072,472$1,491,667$1,491,667$0$0$No1,491,667$1,491,667$Lien
Brandon GignacPenguins (PIT)C/LW221997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm975,000$975,000$450,000$450,000$0$0$No975,000$Lien
Cal FootePenguins (PIT)D211998-12-13No220 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$1,425,000$450,000$450,000$0$0$No1,425,000$Lien
Cedric PaquettePenguins (PIT)C/LW261993-08-13No198 Lbs6 ft1NoNoNo1Pro & Farm812,500$812,500$812,500$812,500$0$0$NoLien
David KampfPenguins (PIT)C/LW/RW251995-01-12No191 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Denis MalginPenguins (PIT)C/RW231997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm693,333$693,333$693,333$693,333$0$0$NoLien
Evgeny SvechnikovPenguins (PIT)LW/RW231996-10-31Yes212 Lbs6 ft3NoNoNo1Pro & Farm1,075,833$1,075,833$1,075,833$1,075,833$0$0$NoLien
Fabian ZetterlundPenguins (PIT)RW201999-08-25Yes196 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Guillaume BriseboisPenguins (PIT)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Isaac RatcliffePenguins (PIT)LW211999-02-15Yes201 Lbs6 ft6NoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$
Ivan ChekhovichPenguins (PIT)LW211999-01-04Yes185 Lbs5 ft10NoNoNo3Pro & Farm903,333$903,333$903,333$903,333$0$0$No903,333$903,333$
Jesper BoqvistPenguins (PIT)LW211998-10-30Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jon GilliesPenguins (PIT)G261994-01-21No223 Lbs6 ft6NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Josh MahuraPenguins (PIT)D221998-05-05No178 Lbs6 ft0NoNoNo3Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$910,833$Lien
Kaapo KahkonenPenguins (PIT)G231996-08-16No223 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Kirby DachPenguins (PIT)C192001-01-20Yes198 Lbs6 ft4NoNoNo3Pro & Farm3,425,000$3,425,000$3,425,000$3,425,000$0$0$No3,425,000$3,425,000$
Libor HajekPenguins (PIT)D221998-02-03No202 Lbs6 ft2NoNoNo2Pro & Farm894,166$894,166$450,000$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$1,500,000$1,500,000$150,000$150,000$NoLien
Martin PospisilPenguins (PIT)C201999-11-19Yes183 Lbs6 ft2NoNoNo3Pro & Farm810,000$810,000$810,000$810,000$0$0$No810,000$810,000$
Matthew PhillipsPenguins (PIT)C/RW221998-04-06No154 Lbs5 ft7NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Max ComtoisPenguins (PIT)LW211999-01-08Yes207 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Max JonesPenguins (PIT)LW221998-02-16No203 Lbs6 ft3NoNoNo2Pro & Farm863,333$863,333$450,000$450,000$0$0$No863,333$Lien
Michael DipietroPenguins (PIT)G211999-06-09Yes200 Lbs6 ft0NoNoNo3Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$910,833$
Michael RasmussenPenguins (PIT)C211999-04-17No220 Lbs6 ft6NoNoNo2Pro & Farm1,710,833$1,710,833$450,000$450,000$0$0$No1,710,833$Lien
Nikolay GoldobinPenguins (PIT)LW/RW241995-10-07No185 Lbs5 ft11NoNoNo2Pro & Farm1,075,833$1,075,833$1,075,833$1,075,833$0$0$No1,075,833$Lien
Olli JuoleviPenguins (PIT)D221998-05-04No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$1,913,333$450,000$450,000$0$0$No1,913,333$Lien
Sammy BlaisPenguins (PIT)LW241996-06-17Yes205 Lbs6 ft2NoNoNo1Pro & Farm725,833$725,833$725,833$725,833$0$0$NoLien
Samuel MorinPenguins (PIT)D241995-07-12Yes203 Lbs6 ft6NoNoNo1Pro & Farm1,363,333$1,363,333$1,363,333$1,363,333$0$0$NoLien
Sean DayPenguins (PIT)D221998-01-08No231 Lbs6 ft2NoNoNo2Pro & Farm975,000$975,000$450,000$450,000$0$0$No975,000$Lien
Simon BenoitPenguins (PIT)D211998-09-19No192 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Simon HolmstromPenguins (PIT)RW192001-05-24Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Tristan JarryPenguins (PIT)G251995-04-25No194 Lbs6 ft2NoNoNo1Pro & Farm675,000$675,000$450,000$450,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3222.41195 Lbs6 ft12.061,115,598$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max ComtoisCedric PaquetteNikolay Goldobin30122
2Sammy BlaisKirby DachDavid Kampf28122
3Max JonesBlake LizotteDenis Malgin28122
4Isaac RatcliffeMichael RasmussenMatthew Phillips14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek35122
2Cal FooteOlli Juolevi30122
3Simon BenoitSean Day25122
4Luca SbisaLibor Hajek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max ComtoisCedric PaquetteNikolay Goldobin60122
2Sammy BlaisKirby DachDavid Kampf40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek60122
2Cal FooteOlli Juolevi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cedric PaquetteKirby Dach60122
2Max ComtoisSammy Blais40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek60122
2Cal FooteOlli Juolevi40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cedric Paquette60122Luca SbisaLibor Hajek60122
2Kirby Dach40122Cal FooteOlli Juolevi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cedric PaquetteKirby Dach60122
2Max ComtoisSammy Blais40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Luca SbisaLibor Hajek60122
2Cal FooteOlli Juolevi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max ComtoisCedric PaquetteNikolay GoldobinLuca SbisaLibor Hajek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max ComtoisCedric PaquetteNikolay GoldobinLuca SbisaLibor Hajek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Lizotte, Denis Malgin, Max JonesBlake Lizotte, Denis MalginMax Jones
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Simon Benoit, Sean Day, Cal FooteSimon BenoitSean Day, Cal Foote
Tirs de Pénalité
Cedric Paquette, Kirby Dach, Max Comtois, Sammy Blais, Nikolay Goldobin
Gardien
#1 : Kaapo Kahkonen, #2 : Michael Dipietro


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
1Admirals1010000024-2000000000001010000024-200.0002350033502536384103291020600.00%5260.00%08817650.00%9718751.87%469349.46%159108176528339
2Monsters3120000046-22020000025-31100000021120.33348120033504036384105012843815213.33%30486.67%08817650.00%9718751.87%469349.46%159108176528339
3Sound Tigers2020000013-21010000012-11010000001-100.000123003350313638410301233381000.00%13284.62%08817650.00%9718751.87%469349.46%159108176528339
Total725000001116-541300000710-33120000046-240.28611193000335011536384101253916211737410.81%541081.48%08817650.00%9718751.87%469349.46%159108176528339
5Wolf Pack11000000431110000004310000000000021.000461000335019363841013635216233.33%6266.67%08817650.00%9718751.87%469349.46%159108176528339
_Since Last GM Reset725000001116-541300000710-33120000046-240.28611193000335011536384101253916211737410.81%541081.48%08817650.00%9718751.87%469349.46%159108176528339
_Vs Conference4220000089-13120000068-21100000021140.5008142200335059363841063181195921419.05%36683.33%08817650.00%9718751.87%469349.46%159108176528339
_Vs Division62200000912-341200000710-32100000022040.3339162500335090363841093301529731412.90%49883.67%08817650.00%9718751.87%469349.46%159108176528339

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
74L11119301151253916211700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
72500001116
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4130000710
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
312000046
Derniers 10 Matchs
WLOTWOTL SOWSOL
250000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
37410.81%541081.48%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
36384103350
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
8817650.00%9718751.87%469349.46%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
159108176528339


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 - 2020-09-037Penguins2Admirals4LSommaire du Match
2 - 2020-09-0417Monsters2Penguins1LSommaire du Match
4 - 2020-09-0624Monsters3Penguins1LSommaire du Match
5 - 2020-09-0740Penguins0Sound Tigers1LSommaire du Match
7 - 2020-09-0953Wolf Pack3Penguins4WSommaire du Match
8 - 2020-09-1056Penguins2Monsters1WSommaire du Match
10 - 2020-09-1273Sound Tigers2Penguins1LSommaire du Match
11 - 2020-09-1382Penguins-Phantoms-
12 - 2020-09-1492Phantoms-Penguins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
14 - 2020-09-16110Penguins-Wolf Pack-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,419,910$ 2,731,164$ 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$ 5 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