Penguins

GP: 44 | W: 28 | L: 14 | OTL: 2 | P: 58
GF: 114 | GA: 79 | PP%: 10.33% | PK%: 91.73%
DG: Christian Cheminais | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #495 vs Wolves
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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$
2Blake Lizotte (R)X100.006741908159666969827159692551516750002232,072,472$
3Kirby Dach (R)X100.006542888475678271496864607551516846001933,425,000$
4Denis MalginXX100.00714289846261646652645955256363635000231693,333$
5Evgeny Svechnikov (R)XX100.007579676879525158505458635544446050002311,075,833$
6Sammy Blais (R)X100.00994785877663666625646861254747705000241725,833$
7Matthew PhillipsXX100.00655394645368696580626560624444655000223750,000$
8Max Comtois (R)X100.00869077787866677332667061754646705000212925,000$
9Max JonesX100.00794482737667876338576666255555675000222863,333$
10Michael RasmussenX100.008485836885666762786158705551516450002121,710,833$
11Jesper Boqvist (R)X100.00764392866357706635506061754747645000213925,000$
12Nikolay GoldobinXX100.007467918167737569506865686255556944002421,075,833$
13Isaac Ratcliffe (R)X100.00797979677970765050474863464444575000213863,333$
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
1Brandon GignacXX100.00696384636366695569554862465555575000222975,000$
2Ivan Chekhovich (R)X100.00756695616669745050494761454444555000213903,333$
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'ÉQUIPE100.0075638470716368594654546446484861490
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 Jarry100.0084747176897878828884755252814600
Rayé
1Michael Dipietro (R)100.0059678473586153625756304444595000
2Jon Gillies100.0058678491576154625756304545595000
MOYENNE D'ÉQUIPE100.006869818168696471706841464668490
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)LW44141933766101284587247216.09%881018.4367133019300001394134.15%20500000.8100011543
2Max JonesPenguins (PIT)LW4414142819260565464206421.87%856512.840002111011513133.33%4200010.9900000451
3Denis MalginPenguins (PIT)C/RW448192724120225849122716.33%361213.910224680001662044.82%29900000.8800000124
4Sammy BlaisPenguins (PIT)LW4491726117551155363296214.29%884619.242351418501151861027.54%6900000.6102100222
5Libor HajekPenguins (PIT)D44221231152096414210254.76%5397522.18066281970220199000.00%000000.4700000113
6Matthew PhillipsPenguins (PIT)C/RW438152312100144057233114.04%348711.33022525000002048.15%2700000.9400000221
7David KampfPenguins (PIT)C/LW/RW3710112180057580185012.50%1367418.235272315600031213169.10%23300000.6201000041
8Kirby DachPenguins (PIT)C42516214408786915507.25%488120.98077918000032261045.43%95100000.4812000012
9Nikolay GoldobinPenguins (PIT)LW/RW3810102010100236060194016.67%459915.77336201770000262043.90%4100000.6700000222
10Blake LizottePenguins (PIT)C4051217640119748163810.42%358314.58055141460000153059.65%57500000.5800000003
11Cal FootePenguins (PIT)D444111569810117252461416.67%3193521.27336161910002194000.00%000000.3200002010
12Josh MahuraPenguins (PIT)D38741171202692261031.82%2185222.44516171720000183200.00%000000.2600000012
13Michael RasmussenPenguins (PIT)C445611-7335315439154112.82%64129.3800001000001060.70%31300000.5300001101
14Evgeny SvechnikovPenguins (PIT)LW/RW385381415383128131417.86%73569.3900000000002060.00%1000000.4500000111
15Luca SbisaPenguinsD6145612013363416.67%513622.67000526101131000.00%000000.7400000000
16Cedric PaquettePenguinsC/LW622434016161841011.11%312120.300003240001350065.56%15100000.6600000101
17Simon BenoitPenguins (PIT)D20134434023121650.00%1431415.71000020000030000.00%000000.2500000001
18Olli JuoleviPenguins (PIT)D20123220015896311.11%1339519.79112572000084000.00%000000.1500000000
19Jesper BoqvistPenguins (PIT)LW1403311401687230.00%821015.020000000001000.00%000000.2900000000
20Fabian ZetterlundPenguins (PIT)RW3812331201015316183.23%52606.8700008000090054.17%2400000.2300000000
21Sean DayPenguins (PIT)D201123301036841125.00%1031115.5900007000047100.00%000000.1300101100
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)LW27000-480525150.00%41184.37000080001430014.29%700000.0000000000
27Simon HolmstromPenguins (PIT)RW14000000324030.00%3705.0600028000060044.44%900000.0000000000
Stats d'équipe Total ou en Moyenne7751131973101415994584479382725259513.66%2511192815.39254267201195023518177627351.17%298000010.5215215212628
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)3222820.9211.54191228496210100.0002320522
2Kaapo KahkonenPenguins (PIT)93500.8822.3845300181520100.0000834010
3Michael DipietroPenguins (PIT)10000.8003.531700150000.000006000
Stats d'équipe Total ou en Moyenne42251320.9131.71238328687780200.00024040532


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$919,242$1,491,667$661,626$0$0$No1,491,667$1,491,667$Lien
Brandon GignacPenguins (PIT)C/LW221997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm975,000$432,460$450,000$199,597$0$0$No975,000$Lien
Cal FootePenguins (PIT)D211998-12-13No220 Lbs6 ft4NoNoNo2Pro & Farm1,425,000$632,056$450,000$199,597$0$0$No1,425,000$Lien
David KampfPenguins (PIT)C/LW/RW251995-01-12No191 Lbs6 ft2NoNoNo1Pro & Farm925,000$410,282$925,000$410,282$0$0$NoLien
Denis MalginPenguins (PIT)C/RW231997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm693,333$307,527$693,333$307,527$0$0$NoLien
Evgeny SvechnikovPenguins (PIT)LW/RW231996-10-31Yes212 Lbs6 ft3NoNoNo1Pro & Farm1,075,833$477,184$1,075,833$477,184$0$0$NoLien
Fabian ZetterlundPenguins (PIT)RW201999-08-25Yes196 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Guillaume BriseboisPenguins (PIT)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Isaac RatcliffePenguins (PIT)LW211999-02-15Yes201 Lbs6 ft6NoNoNo3Pro & Farm863,333$382,930$863,333$382,930$0$0$No863,333$863,333$
Ivan ChekhovichPenguins (PIT)LW211999-01-04Yes185 Lbs5 ft10NoNoNo3Pro & Farm903,333$400,672$903,333$400,672$0$0$No903,333$903,333$
Jesper BoqvistPenguins (PIT)LW211998-10-30Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$410,282$925,000$410,282$0$0$No925,000$925,000$
Jon GilliesPenguins (PIT)G261994-01-21No223 Lbs6 ft6NoNoNo4Pro & Farm750,000$332,661$750,000$332,661$0$0$No750,000$750,000$750,000$Lien
Josh MahuraPenguins (PIT)D221998-05-05No178 Lbs6 ft0NoNoNo3Pro & Farm910,833$403,999$910,833$403,999$0$0$No910,833$910,833$Lien
Kaapo KahkonenPenguins (PIT)G231996-08-16No223 Lbs6 ft2NoNoNo3Pro & Farm925,000$410,282$925,000$410,282$0$0$No925,000$925,000$Lien
Kirby DachPenguins (PIT)C192001-01-20Yes198 Lbs6 ft4NoNoNo3Pro & Farm3,425,000$1,519,153$3,425,000$1,519,153$0$0$No3,425,000$3,425,000$
Libor HajekPenguins (PIT)D221998-02-03No202 Lbs6 ft2NoNoNo2Pro & Farm894,166$396,606$450,000$199,597$0$0$No894,166$Lien
Martin PospisilPenguins (PIT)C201999-11-19Yes183 Lbs6 ft2NoNoNo3Pro & Farm810,000$359,274$810,000$359,274$0$0$No810,000$810,000$
Matthew PhillipsPenguins (PIT)C/RW221998-04-06No154 Lbs5 ft7NoNoNo3Pro & Farm750,000$332,661$750,000$332,661$0$0$No750,000$750,000$Lien
Max ComtoisPenguins (PIT)LW211999-01-08Yes207 Lbs6 ft2NoNoNo2Pro & Farm925,000$410,282$450,000$199,597$0$0$No925,000$Lien
Max JonesPenguins (PIT)LW221998-02-16No203 Lbs6 ft3NoNoNo2Pro & Farm863,333$382,930$450,000$199,597$0$0$No863,333$Lien
Michael DipietroPenguins (PIT)G211999-06-09Yes200 Lbs6 ft0NoNoNo3Pro & Farm910,833$403,999$910,833$403,999$0$0$No910,833$910,833$
Michael RasmussenPenguins (PIT)C211999-04-17No220 Lbs6 ft6NoNoNo2Pro & Farm1,710,833$758,837$450,000$199,597$0$0$No1,710,833$Lien
Nikolay GoldobinPenguins (PIT)LW/RW241995-10-07No185 Lbs5 ft11NoNoNo2Pro & Farm1,075,833$477,184$1,075,833$477,184$0$0$No1,075,833$Lien
Olli JuoleviPenguins (PIT)D221998-05-04No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$848,656$450,000$199,597$0$0$No1,913,333$Lien
Sammy BlaisPenguins (PIT)LW241996-06-17Yes205 Lbs6 ft2NoNoNo1Pro & Farm725,833$321,942$725,833$321,942$0$0$NoLien
Samuel MorinPenguins (PIT)D241995-07-12Yes203 Lbs6 ft6NoNoNo1Pro & Farm1,363,333$604,704$1,363,333$604,704$0$0$NoLien
Sean DayPenguins (PIT)D221998-01-08No231 Lbs6 ft2NoNoNo2Pro & Farm975,000$432,460$450,000$199,597$0$0$No975,000$Lien
Simon BenoitPenguins (PIT)D211998-09-19No192 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Simon HolmstromPenguins (PIT)RW192001-05-24Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$410,282$925,000$410,282$0$0$No925,000$925,000$
Tristan JarryPenguins (PIT)G251995-04-25No194 Lbs6 ft2NoNoNo1Pro & Farm675,000$299,395$450,000$199,597$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 BlaisDavid KampfNikolay Goldobin35005
2Max ComtoisKirby DachDenis Malgin30005
3Max JonesBlake LizotteMatthew 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, Isaac RatcliffeFabian Zetterlund, Simon HolmstromIsaac Ratcliffe
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 : 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
1Flames11000000101110000001010000000000021.000123013251301152692812848137625700.00%30100.00%0614116252.84%653128650.78%27758747.19%10967721040318517257
2Griffins11000000615110000006150000000000021.0006121800325130123269281284823923226116.67%8187.50%0614116252.84%653128650.78%27758747.19%10967721040318517257
3IceHogs2010010057-21000010023-11010000034-110.25051015003251301432692812848571530558112.50%14192.86%0614116252.84%653128650.78%27758747.19%10967721040318517257
4Marlies211000004401010000012-11100000032120.50045900325130134269281284837203036800.00%14192.86%0614116252.84%653128650.78%27758747.19%10967721040318517257
5Monarchs2020000037-41010000025-31010000012-100.0003580032513013126928128484413243411218.18%12191.67%0614116252.84%653128650.78%27758747.19%10967721040318517257
6Monsters64200000175124220000011562200000060680.667173047033251301111269281284885167210739410.26%33196.97%0614116252.84%653128650.78%27758747.19%10967721040318517257
7Moose11000000211110000002110000000000021.00024600325130113269281284819324186116.67%11190.91%0614116252.84%653128650.78%27758747.19%10967721040318517257
8Phantoms43100000752220000006152110000014-360.75071320023251301762692812848612265722926.90%24291.67%0614116252.84%653128650.78%27758747.19%10967721040318517257
9Rampage22000000734110000005231100000021141.00071320003251301542692812848391427357114.29%100100.00%0614116252.84%653128650.78%27758747.19%10967721040318517257
10Rocket11000000202000000000001100000020221.0002460132513011126928128481448137114.29%40100.00%0614116252.84%653128650.78%27758747.19%10967721040318517257
11Senators22000000734000000000002200000073441.000714210032513014526928128483092344500.00%8187.50%0614116252.84%653128650.78%27758747.19%10967721040318517257
12Sharks1010000003-3000000000001010000003-300.0000000032513011226928128481961425400.00%7185.71%0614116252.84%653128650.78%27758747.19%10967721040318517257
13Soldiers21100000761110000004131010000035-220.500711180032513012626928128485114344113430.77%15380.00%1614116252.84%653128650.78%27758747.19%10967721040318517257
14Sound Tigers12740001034231155000000199107240001015141160.6673459930132513012532692812848268781922316346.35%85692.94%1614116252.84%653128650.78%27758747.19%10967721040318517257
15Stars11000000101000000000001100000010121.0001230132513012526928128481861022300.00%50100.00%0614116252.84%653128650.78%27758747.19%10967721040318517257
Total4427140011111479352216500100683830221190001146415580.65911420431809325130183726928128488702656378722422510.33%2782391.73%2614116252.84%653128650.78%27758747.19%10967721040318517257
16Wolf Pack3110000189-1211000006601000000123-130.500814220032513014826928128487321367218211.11%18383.33%0614116252.84%653128650.78%27758747.19%10967721040318517257
17Wolves11000000321110000003210000000000021.00036900325130117269281284819819208225.00%7185.71%0614116252.84%653128650.78%27758747.19%10967721040318517257
_Since Last GM Reset4427140011111479352216500100683830221190001146415580.65911420431809325130183726928128488702656378722422510.33%2782391.73%2614116252.84%653128650.78%27758747.19%10967721040318517257
_Vs Conference19135000014626201064000002514119710000121129270.711468212807325130134026928128483139924036911397.96%104892.31%0614116252.84%653128650.78%27758747.19%10967721040318517257
_Vs Division25940000166422413630000042212112310000124213190.380661161820632513014882692812848487137365482149128.05%1601292.50%1614116252.84%653128650.78%27758747.19%10967721040318517257

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4458L111420431883787026563787209
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
442714011111479
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2216501006838
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2211900114641
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
2422510.33%2782391.73%2
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
26928128483251301
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
614116252.84%653128650.78%27758747.19%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10967721040318517257


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 - 2020-12-05495Wolves-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
19 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,636,219$ 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$ 1,853,994$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 55 67,247$ 3,698,585$




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