Penguins

GP: 8 | W: 3 | L: 5 | OTL: 0 | P: 6
GF: 15 | GA: 15 | PP%: 0.00% | PK%: 94.83%
DG: Christian Cheminais | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #94 vs Sound Tigers
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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 KampfXXX100.00694396767265846184606085756363685000
2Blake Lizotte (R)X100.00674190815966696982715969255151675000
3Kirby Dach (R)X100.00654288847567827149686460755151685000
4Denis MalginXX100.00714289846261646652645955256363635000
5Evgeny Svechnikov (R)XX100.00757967687952515850545863554444605000
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
13Fabian Zetterlund (R)X100.00777094677057585650525664534444605000
14Cal FooteX100.00838382618378855225484266404444565000
15Guillaume BriseboisX100.00706778686765704925414160395151535000
16Josh MahuraX100.00594093666569727125505060254646595000
17Libor HajekX100.00734387677568745725534782254747625000
18Sean DayX100.00828477538451534825394164394444515000
19Simon BenoitX100.00757380647370765025444161394444545000
Rayé
1Brandon GignacXX100.00696384636366695569554862465555575000
2Jesper Boqvist (R)X100.00764392866357706635506061754747645000
3Ivan Chekhovich (R)X100.00756695616669745050494761454444555000
4Martin Pospisil (R)X100.00616942636957585468545055484444535000
5Simon Holmstrom (R)X100.00766895646857585450475663534444595000
6Olli JuoleviX100.00746984686954545425544062384444545000
7Samuel Morin (R)X100.00807981697936354125283961374444485000
MOYENNE D'ÉQUIPE100.0075638470716368594654546446484861500
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 SbisaPenguinsD6145612013363416.67%513622.67000526101131000.00%000000.7400000000
2Max ComtoisPenguins (PIT)LW8145460117162146.25%214418.070005330000300028.00%2500000.6900000110
3Nikolay GoldobinPenguins (PIT)LW/RW82353001992922.22%011214.08000233000001066.67%300000.8900000010
4Cedric PaquettePenguinsC/LW622434016161841011.11%312120.300003240001350065.56%15100000.6600000101
5Blake LizottePenguins (PIT)C813432012286612.50%210413.08000112000061066.32%9500000.7600000000
6Sammy BlaisPenguins (PIT)LW82241100196113918.18%214017.560001290111320030.00%1000000.5700000000
7Libor HajekPenguins (PIT)D82246208761133.33%718423.09000330011044000.00%000000.4300000002
8David KampfPenguins (PIT)C/LW/RW803300011613140.00%111514.41000429000190081.82%1100000.5200000000
9Denis MalginPenguins (PIT)C/RW821338031270128.57%09211.6200003000161040.00%2000000.6500000010
10Max JonesPenguins (PIT)LW8112340951031010.00%210212.81000000000180037.50%1600000.3900000001
11Cal FootePenguins (PIT)D8101-116021421250.00%317622.12000129000041000.00%000000.1100000000
12Kirby DachPenguins (PIT)C8011120111131100.00%016120.220002280000500046.32%13600000.1200000000
13Michael RasmussenPenguins (PIT)C8011-4003134570.00%0708.7700000000000065.08%6300000.2800000000
14Sean DayPenguins (PIT)D8011-21751322100.00%512115.1500002000021000.00%000000.1700100000
15Simon BenoitPenguins (PIT)D8011-31801111000.00%512715.97000010000014000.00%000000.1600000000
16Guillaume BriseboisPenguins (PIT)D2000-140120000.00%04120.970000600009000.00%000000.0000000000
17Evgeny SvechnikovPenguins (PIT)LW/RW2000020413110.00%0199.530000000000000.00%000000.0000000000
18Josh MahuraPenguins (PIT)D2000100101000.00%54422.3600006000011000.00%000000.0000000000
19Matthew PhillipsPenguins (PIT)C/RW8000-4000713430.00%0698.710001100000000.00%300000.0000000000
20Olli JuoleviPenguins (PIT)D6000-1120432210.00%711719.63000119000026000.00%000000.0000000000
21Isaac RatcliffePenguins (PIT)LW8000-440323130.00%0567.040000000014000.00%100000.0000000000
22Fabian ZetterlundPenguins (PIT)RW2000000112010.00%0199.530000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne146152944141235145150150419610.00%49228115.630002932712363943056.37%53400000.3900100234
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)62400.8912.2834200131190000.000062010
2Tristan JarryPenguins (PIT)21100.9660.50119211290000.000020100
3Michael DipietroPenguins (PIT)10000.8003.531700150000.000006000
Stats d'équipe Total ou en Moyenne93500.9021.8847821151530000.000088110


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$1,855,197$1,491,667$1,335,283$0$0$No1,491,667$1,491,667$Lien
Brandon GignacPenguins (PIT)C/LW221997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm975,000$872,782$450,000$402,823$0$0$No975,000$Lien
Cal FootePenguins (PIT)D211998-12-13No220 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$1,275,605$450,000$402,823$0$0$No1,425,000$Lien
David KampfPenguins (PIT)C/LW/RW251995-01-12No191 Lbs6 ft2NoNoNo1Pro & Farm925,000$828,024$925,000$828,024$0$0$NoLien
Denis MalginPenguins (PIT)C/RW231997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm693,333$620,645$693,333$620,645$0$0$NoLien
Evgeny SvechnikovPenguins (PIT)LW/RW231996-10-31Yes212 Lbs6 ft3NoNoNo1Pro & Farm1,075,833$963,044$1,075,833$963,044$0$0$NoLien
Fabian ZetterlundPenguins (PIT)RW201999-08-25Yes196 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Guillaume BriseboisPenguins (PIT)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Isaac RatcliffePenguins (PIT)LW211999-02-15Yes201 Lbs6 ft6NoNoNo3Pro & Farm863,333$772,822$863,333$772,822$0$0$No863,333$863,333$
Ivan ChekhovichPenguins (PIT)LW211999-01-04Yes185 Lbs5 ft10NoNoNo3Pro & Farm903,333$808,629$903,333$808,629$0$0$No903,333$903,333$
Jesper BoqvistPenguins (PIT)LW211998-10-30Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Jon GilliesPenguins (PIT)G261994-01-21No223 Lbs6 ft6NoNoNo4Pro & Farm750,000$671,371$750,000$671,371$0$0$No750,000$750,000$750,000$Lien
Josh MahuraPenguins (PIT)D221998-05-05No178 Lbs6 ft0NoNoNo3Pro & Farm910,833$815,342$910,833$815,342$0$0$No910,833$910,833$Lien
Kaapo KahkonenPenguins (PIT)G231996-08-16No223 Lbs6 ft2NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$Lien
Kirby DachPenguins (PIT)C192001-01-20Yes198 Lbs6 ft4NoNoNo3Pro & Farm3,425,000$3,065,927$3,425,000$3,065,927$0$0$No3,425,000$3,425,000$
Libor HajekPenguins (PIT)D221998-02-03No202 Lbs6 ft2NoNoNo2Pro & Farm894,166$800,423$450,000$402,823$0$0$No894,166$Lien
Martin PospisilPenguins (PIT)C201999-11-19Yes183 Lbs6 ft2NoNoNo3Pro & Farm810,000$725,081$810,000$725,081$0$0$No810,000$810,000$
Matthew PhillipsPenguins (PIT)C/RW221998-04-06No154 Lbs5 ft7NoNoNo3Pro & Farm750,000$671,371$750,000$671,371$0$0$No750,000$750,000$Lien
Max ComtoisPenguins (PIT)LW211999-01-08Yes207 Lbs6 ft2NoNoNo2Pro & Farm925,000$828,024$450,000$402,823$0$0$No925,000$Lien
Max JonesPenguins (PIT)LW221998-02-16No203 Lbs6 ft3NoNoNo2Pro & Farm863,333$772,822$450,000$402,823$0$0$No863,333$Lien
Michael DipietroPenguins (PIT)G211999-06-09Yes200 Lbs6 ft0NoNoNo3Pro & Farm910,833$815,342$910,833$815,342$0$0$No910,833$910,833$
Michael RasmussenPenguins (PIT)C211999-04-17No220 Lbs6 ft6NoNoNo2Pro & Farm1,710,833$1,531,471$450,000$402,823$0$0$No1,710,833$Lien
Nikolay GoldobinPenguins (PIT)LW/RW241995-10-07No185 Lbs5 ft11NoNoNo2Pro & Farm1,075,833$963,044$1,075,833$963,044$0$0$No1,075,833$Lien
Olli JuoleviPenguins (PIT)D221998-05-04No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$1,712,742$450,000$402,823$0$0$No1,913,333$Lien
Sammy BlaisPenguins (PIT)LW241996-06-17Yes205 Lbs6 ft2NoNoNo1Pro & Farm725,833$649,738$725,833$649,738$0$0$NoLien
Samuel MorinPenguins (PIT)D241995-07-12Yes203 Lbs6 ft6NoNoNo1Pro & Farm1,363,333$1,220,403$1,363,333$1,220,403$0$0$NoLien
Sean DayPenguins (PIT)D221998-01-08No231 Lbs6 ft2NoNoNo2Pro & Farm975,000$872,782$450,000$402,823$0$0$No975,000$Lien
Simon BenoitPenguins (PIT)D211998-09-19No192 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$895,161$1,000,000$895,161$0$0$NoLien
Simon HolmstromPenguins (PIT)RW192001-05-24Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$828,024$925,000$828,024$0$0$No925,000$925,000$
Tristan JarryPenguins (PIT)G251995-04-25No194 Lbs6 ft2NoNoNo1Pro & Farm675,000$604,234$450,000$402,823$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3022.03195 Lbs6 ft12.131,112,888$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sammy BlaisKirby DachDavid Kampf35122
2Max ComtoisBlake LizotteNikolay Goldobin30122
3Max JonesDenis MalginMatthew Phillips25122
4Evgeny SvechnikovMichael RasmussenFabian Zetterlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura35122
2Cal FooteGuillaume Brisebois30122
3Simon BenoitSean Day25122
4Libor HajekJosh Mahura10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sammy BlaisKirby DachDavid Kampf60122
2Max ComtoisBlake LizotteNikolay Goldobin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura60122
2Cal FooteGuillaume Brisebois40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kirby DachSammy Blais60122
2Max ComtoisDavid Kampf40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura60122
2Cal FooteGuillaume Brisebois40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kirby Dach60122Libor HajekJosh Mahura60122
2Sammy Blais40122Cal FooteGuillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kirby DachSammy Blais60122
2Max ComtoisDavid Kampf40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Libor HajekJosh Mahura60122
2Cal FooteGuillaume Brisebois40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sammy BlaisKirby DachDavid KampfLibor HajekJosh Mahura
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sammy BlaisKirby DachDavid KampfLibor HajekJosh Mahura
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Isaac Ratcliffe, Max Jones, Denis MalginIsaac Ratcliffe, Max JonesDenis Malgin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Simon Benoit, Sean Day, Cal FooteSimon BenoitSean Day, Cal Foote
Tirs de Pénalité
Kirby Dach, Sammy Blais, Max Comtois, David Kampf, Nikolay Goldobin
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
1Monsters1010000001-11010000001-10000000000000.0000000064501256425201122219400.00%100100.00%011520256.93%12822856.14%5810455.77%196136190599345
2Sound Tigers523000001192220000008353030000036-340.40011213200645010056425201003283842800.00%38197.37%111520256.93%12822856.14%5810455.77%196136190599345
3Stars11000000101000000000001100000010121.0001230164502556425201861022300.00%50100.00%011520256.93%12822856.14%5810455.77%196136190599345
Total83500000151504220000011924130000046-260.3751529440164501505642520153491251453700.00%58394.83%111520256.93%12822856.14%5810455.77%196136190599345
5Wolf Pack1010000035-21010000035-20000000000000.0003690064501356425202491020200.00%5260.00%011520256.93%12822856.14%5810455.77%196136190599345
_Since Last GM Reset83500000151504220000011924130000046-260.3751529440164501505642520153491251453700.00%58394.83%111520256.93%12822856.14%5810455.77%196136190599345
_Vs Conference2020000036-32020000036-30000000000000.00036900645025564252035113239600.00%15286.67%011520256.93%12822856.14%5810455.77%196136190599345
_Vs Division702000001415-14020000011923000000036-300.0001427410064501255642520135431151233400.00%53394.34%111520256.93%12822856.14%5810455.77%196136190599345

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
86W11529441501534912514501
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
83500001515
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000119
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
413000046
Derniers 10 Matchs
WLOTWOTL SOWSOL
350000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3700.00%58394.83%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
56425206450
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
11520256.93%12822856.14%5810455.77%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
196136190599345


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 - 2020-10-1094Penguins-Sound Tigers-
16 - 2020-10-12103Sound Tigers-Penguins-
18 - 2020-10-14114Phantoms-Penguins-
20 - 2020-10-16124Penguins-Monsters-
21 - 2020-10-17134Penguins-Wolf Pack-
23 - 2020-10-19149Phantoms-Penguins-
24 - 2020-10-20158Penguins-Sound Tigers-
25 - 2020-10-21167Sound Tigers-Penguins-
27 - 2020-10-23184Penguins-Marlies-
28 - 2020-10-24191IceHogs-Penguins-
30 - 2020-10-26205Marlies-Penguins-
32 - 2020-10-28217Penguins-Sharks-
34 - 2020-10-30227Penguins-Senators-
37 - 2020-11-02238Monsters-Penguins-
38 - 2020-11-03248Monsters-Penguins-
40 - 2020-11-05255Penguins-Sound Tigers-
43 - 2020-11-08273Griffins-Penguins-
45 - 2020-11-10291Moose-Penguins-
47 - 2020-11-12308Penguins-Rampage-
48 - 2020-11-13310Penguins-Phantoms-
49 - 2020-11-14318Wolf Pack-Penguins-
50 - 2020-11-15332Penguins-Phantoms-
51 - 2020-11-16336Monsters-Penguins-
53 - 2020-11-18352Penguins-Rocket-
54 - 2020-11-19361Flames-Penguins-
55 - 2020-11-20375Penguins-IceHogs-
56 - 2020-11-21384Sound Tigers-Penguins-
57 - 2020-11-22396Penguins-Soldiers-
58 - 2020-11-23402Soldiers-Penguins-
60 - 2020-11-25415Penguins-Sound Tigers-
61 - 2020-11-26426Penguins-Monsters-
63 - 2020-11-28435Rampage-Penguins-
64 - 2020-11-29448Monarchs-Penguins-
66 - 2020-12-01460Penguins-Senators-
67 - 2020-12-02472Wolves-Penguins-
68 - 2020-12-03484Penguins-Monarchs-
70 - 2020-12-05495Wolves-Penguins-
71 - 2020-12-06501Penguins-Wolves-
72 - 2020-12-07515Senators-Penguins-
74 - 2020-12-09527Penguins-Phantoms-
75 - 2020-12-10539Stars-Penguins-
76 - 2020-12-11541Penguins-Wolf Pack-
78 - 2020-12-13559Crunch-Penguins-
79 - 2020-12-14570Rocket-Penguins-
80 - 2020-12-15578Penguins-Crunch-
82 - 2020-12-17591Penguins-Phantoms-
84 - 2020-12-19599Griffins-Penguins-
85 - 2020-12-20610Penguins-Marlies-
86 - 2020-12-21618Penguins-Wolf Pack-
88 - 2020-12-23631Crunch-Penguins-
90 - 2020-12-25645Marlies-Penguins-
91 - 2020-12-26654Penguins-Admirals-
93 - 2020-12-28667Senators-Penguins-
94 - 2020-12-29676Penguins-Griffins-
95 - 2020-12-30688Penguins-Condors-
96 - 2020-12-31699Admirals-Penguins-
97 - 2021-01-01710Penguins-Rocket-
99 - 2021-01-03720Condors-Penguins-
101 - 2021-01-05734Sharks-Penguins-
102 - 2021-01-06747Penguins-Monsters-
103 - 2021-01-07754Wolf Pack-Penguins-
104 - 2021-01-08765Penguins-Wolf Pack-
105 - 2021-01-09776Wolf Pack-Penguins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11788Penguins-Wolves-
108 - 2021-01-12793Penguins-Monsters-
109 - 2021-01-13803Penguins-Bruins-
110 - 2021-01-14810Penguins-Flames-
112 - 2021-01-16823Sound Tigers-Penguins-
113 - 2021-01-17833Bruins-Penguins-
115 - 2021-01-19848Phantoms-Penguins-
117 - 2021-01-21865Penguins-Moose-
118 - 2021-01-22875Bruins-Penguins-
119 - 2021-01-23880Penguins-Wolves-
121 - 2021-01-25891Phantoms-Penguins-



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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
880,106$ 3,338,660$ 2,649,914$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 355,920$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 111 67,247$ 7,464,417$




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
202083500000151504220000011924130000046-261529440164501505642520153491251453700.00%58394.83%111520256.93%12822856.14%5810455.77%196136190599345
Total Saison Régulière83500000151504220000011924130000046-261529440164501505642520153491251453700.00%58394.83%111520256.93%12822856.14%5810455.77%196136190599345