Penguins

GP: 82 | W: 39 | L: 31 | OTL: 12 | P: 90
GF: 226 | GA: 234 | PP%: 19.72% | PK%: 77.39%
DG: Michael Murphy | Morale : 36 | Moyenne d'Équipe : 65
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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
1Conor Sheary (R)X100.006446777460799689669095655775564060750
2Bryan Rust (R)X100.007535767772848678578474826070535550730
3Nick Shore (R)X100.007248746974778582947872676176734357710
4Kasperi Kapanen (R)X100.006941767376869172697172726955528144690
5Maxim LapierreX100.009968576178647261875962876683922623670
6Mathieu Joseph (R)X100.007735726975788368586668686453515977660
7Lucas Wallmark (R)X100.006735746870829467896865695466516156660
8Daniel Sprong (R)X100.006235757071727668586569695668537231640
9Kyle ChipchuraX100.004870956577688057645155835094942754640
10Austin Wagner (R)X100.007835696574698465586365655852516256630
11Rocco Grimaldi (R)X100.006035756762717666706564655465517347620
12Dillon Dube (R)X100.005435716870677268686664655651507056620
13Colin Miller (R)X100.007735767177849785308483685769594653730
14Martin Marincin (R)X100.005735896992737483256855805665516556690
15David Rundblad (R)X100.008365626675566763506063826788815455680
16Samuel Girard (R)X100.006435867763849567307371635667547253670
17Anton Lindholm (R)X100.008445776571727663306262745263545361660
18Matt Grzelcyk (R)X100.006344667062837966306962645566536058640
Rayé
1Max Veronneau (R)X100.005035776872805667506667675850504319620
2Zach BoychukX100.005519996275556082465957565984755020610
3Dylan Sikura (R)X100.005235736966616668506663655852504819610
4Carl Klingberg (R)X100.006167966279758257485250606182754720600
5Danick Martel (R)X100.006135756564699254635758605668534219590
6Nicolas Aube-Kubel (R)X100.005335596870525468506262625150507220590
7Taro Hirose (R)X100.005135826262835562746560616150554419590
8Dominic Turgeon (R)X100.005535836680515263695353695060526620580
9Clark Bishop (R)X100.006035645977596059715756545751505720560
10Marc-Andre GragnaniX100.002116996675667155695241885183803120640
11Juuso Riikola (R)X100.007935796272766862306262625162504220620
12Riley Stillman (R)X100.005335616377465063315353525350506020540
MOYENNE D'ÉQUIPE100.00634076677271756856656368576659543964
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
1Jack Campbell (R)100.00907883808993959493895382727256850
2Justin Peters100.00657678797292929494788699992856820
Rayé
MOYENNE D'ÉQUIPE100.0078778180819394949484709186505684
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Martin49576156999366CAN671800,000$


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
1Conor ShearyPenguins (PIT)LW80444791-1671516520734310622112.83%50176322.0521244572296101142636649.04%6246740111.03415210785
2Nick ShorePenguins (PIT)C82285280194202132402568217210.94%50160819.611430445530011281172258.60%18553624000.9948121572
3Bryan RustPenguins (PIT)LW802739668475146175334851728.08%45166820.852161826221011102784245.75%1537224000.79115001077
4Colin MillerPenguins (PIT)D826445056410188180215107962.79%103200024.4041115413330113286200.00%05655000.5001020122
5Martin MarincinPenguins (PIT)D828223012408615610453497.69%117196824.015611172950001282300.00%02771000.3000000122
6Lucas WallmarkPenguins (PIT)C82151227-9340111156161561009.32%32109613.371125580001153155.58%8153020100.4900000211
7Mathieu JosephPenguins (PIT)RW8212132506610184101169671237.10%21131816.08303101650001241147.31%933120000.3801002121
8Samuel GirardPenguins (PIT)D8242024819512314312658563.17%85179821.9323582070114202000.00%03741000.2700010001
9Maxim LapierrePenguins (PIT)C75914234162502532309122459.89%31125516.75415101760000343156.68%1385917000.3701225110
10Kasperi Kapanen Penguins (PIT)RW8691423-3682014313414137796.38%30128214.91336118100051194041.03%1172227000.3600022213
11Daniel SprongPenguins (PIT)RW7510818-2395767616044856.25%2485911.45000116000011030.30%33337000.4200100003
12Anton LindholmPenguins (PIT)D8211415-861351501125623211.79%69132916.22123258000338000.00%01250000.2300322000
13Austin WagnerPenguins (PIT)LW808513-2435152629021428.89%2192211.53000070001843038.60%571418000.2800100013
14Dillon DubePenguins (PIT)C8210212160437080306112.50%145706.9500000000001046.64%23899000.4200000201
15David RundbladPenguins (PIT)D632911-1161451581248029292.50%66134121.29224151870002157010.00%01445000.1600513000
16Matt GrzelcykPenguins (PIT)D8201111-7701076936025290.00%68122014.8900003000057000.00%01533000.1800002000
17Rocco GrimaldiPenguins (PIT)RW80381138059507326674.11%65777.2101103000121057.14%141912000.3800000010
18Kyle ChipchuraPenguins (PIT)LW8242602410539340103510.00%2082510.070000150001772048.08%52311000.1500011001
19Zach BoychukPenguins (PIT)C412330035101410.00%14912.3600000000040041.18%3412001.2100000000
20Juuso RiikolaPenguins (PIT)D19101-320302512078.33%1728314.920000000005010.00%028000.0700000010
21Danick MartelPenguins (PIT)LW2000000330100.00%0147.150000000001000.00%100000.0000000000
22Dylan SikuraPenguins (PIT)LW4000120161120.00%0266.720000000002000.00%020000.0000000000
23Dominic TurgeonPenguins (PIT)C3000000031000.00%0206.9500000000000044.44%900000.0000000000
24Max VeronneauPenguins (PIT)RW10000-45545124120.00%0727.21000000000000100.00%111000.0000001000
Stats d'équipe Total ou en Moyenne14812023385406104625024202449261588815077.72%8702387416.12621001622732430246552060361554.52%5481512535210.45941151420223432
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
1Jack CampbellPenguins (PIT)643023110.9172.643818231682030831530.5003664181423
2Justin PetersPenguins (PIT)219810.9162.6511764052618274110.87581864230
Stats d'équipe Total ou en Moyenne853931120.9172.6449946322026481105640.5684482821653


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 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
Anton LindholmPenguins (PIT)D251994-11-29 10:02:12Yes193 Lbs5 ft11NoNoNo1Pro & Farm717,500$0$0$No
Austin WagnerPenguins (PIT)LW221997-06-23 07:30:44Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Bryan RustPenguins (PIT)LW271992-05-11 05:11:13Yes192 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Carl KlingbergPenguins (PIT)RW291991-01-28 11:11:13Yes214 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
Clark BishopPenguins (PIT)C241996-03-29 13:52:05Yes199 Lbs6 ft1NoNoNo3Pro & Farm695,000$0$0$No695,000$695,000$
Colin MillerPenguins (PIT)D271992-10-29 04:23:29Yes196 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Conor ShearyPenguins (PIT)LW271992-06-08 17:37:33Yes176 Lbs5 ft8NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Danick MartelPenguins (PIT)LW251994-12-12 11:57:34Yes176 Lbs5 ft8NoNoNo2Pro & Farm715,000$0$0$No715,000$
Daniel SprongPenguins (PIT)RW231997-03-17 11:11:13Yes180 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
David RundbladPenguins (PIT)D291990-10-08 11:11:13Yes199 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Dillon DubePenguins (PIT)C211998-07-20 13:47:59Yes187 Lbs5 ft11NoNoNo3Pro & Farm778,333$0$0$No778,333$778,333$
Dominic TurgeonPenguins (PIT)C241996-02-25 15:18:58Yes200 Lbs6 ft2NoNoNo2Pro & Farm894,167$0$0$No894,167$
Dylan SikuraPenguins (PIT)LW241995-06-01 04:58:26Yes166 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Jack CampbellPenguins (PIT)G281992-01-09 10:04:43Yes197 Lbs6 ft2NoNoNo1Pro & Farm612,500$0$0$No
Justin PetersPenguins (PIT)G331986-08-30 17:11:14No214 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$0$0$No
Juuso RiikolaPenguins (PIT)D261993-11-09 08:40:16Yes189 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Kasperi Kapanen Penguins (PIT)RW231996-07-23 17:09:09Yes192 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Kyle ChipchuraPenguins (PIT)LW341986-02-19 05:11:13No206 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Lucas WallmarkPenguins (PIT)C241995-09-05 10:07:04Yes178 Lbs6 ft0NoNoNo1Pro & Farm683,333$0$0$No
Marc-Andre GragnaniPenguins (PIT)D331987-03-11 23:11:13No195 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Martin MarincinPenguins (PIT)D281992-02-18 05:11:13Yes213 Lbs6 ft5NoNoNo2Pro & Farm800,000$0$0$No800,000$
Mathieu JosephPenguins (PIT)RW231997-02-09 07:26:52Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Matt GrzelcykPenguins (PIT)D261994-01-05 10:08:42Yes174 Lbs5 ft9NoNoNo1Pro & Farm858,750$0$0$No
Max VeronneauPenguins (PIT)RW241995-12-12 08:38:07Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Maxim LapierrePenguins (PIT)C351985-03-29 11:11:13No215 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Nick ShorePenguins (PIT)C271992-09-26 05:11:13Yes195 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Nicolas Aube-KubelPenguins (PIT)RW231996-05-10 13:50:03Yes187 Lbs5 ft11NoNoNo3Pro & Farm871,667$0$0$No871,667$871,667$
Riley StillmanPenguins (PIT)D221998-03-09 13:53:59Yes196 Lbs6 ft1NoNoNo3Pro & Farm773,333$0$0$No773,333$773,333$
Rocco GrimaldiPenguins (PIT)RW271993-02-08 11:11:13Yes180 Lbs5 ft6NoNoNo2Pro & Farm575,000$0$0$No575,000$
Samuel GirardPenguins (PIT)D211998-05-12 15:17:07Yes162 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
Taro HirosePenguins (PIT)LW231996-06-30 03:53:39Yes160 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Zach BoychukPenguins (PIT)C301989-10-04 11:11:13No203 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3226.16191 Lbs6 ft02.22912,487$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Conor ShearyNick ShoreKasperi Kapanen 35122
2Bryan RustMaxim LapierreMathieu Joseph35122
3Austin WagnerLucas WallmarkDaniel Sprong25122
4Kyle ChipchuraDillon DubeRocco Grimaldi5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colin MillerMartin Marincin35122
2David RundbladSamuel Girard35122
3Anton LindholmMatt Grzelcyk30122
4Colin MillerMartin Marincin0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Conor ShearyNick ShoreKasperi Kapanen 60122
2Bryan RustMaxim LapierreMathieu Joseph40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colin MillerMartin Marincin60122
2David RundbladSamuel Girard40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Conor ShearyBryan Rust60122
2Nick ShoreKasperi Kapanen 40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colin MillerMartin Marincin60122
2David RundbladSamuel Girard40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Conor Sheary60122Colin MillerMartin Marincin60122
2Bryan Rust40122David RundbladSamuel Girard40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Conor ShearyBryan Rust60122
2Nick ShoreKasperi Kapanen 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Colin MillerMartin Marincin60122
2David RundbladSamuel Girard40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Conor ShearyNick ShoreKasperi Kapanen Colin MillerMartin Marincin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Conor ShearyNick ShoreKasperi Kapanen Colin MillerMartin Marincin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Wallmark, Daniel Sprong, Austin WagnerLucas Wallmark, Daniel SprongAustin Wagner
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anton Lindholm, Matt Grzelcyk, David RundbladAnton LindholmMatt Grzelcyk, David Rundblad
Tirs de Pénalité
Conor Sheary, Bryan Rust, Nick Shore, Kasperi Kapanen , Maxim Lapierre
Gardien
#1 : Justin Peters, #2 : Jack Campbell


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
1Avalanche2020000036-31010000013-21010000023-100.0003580058936812608648879185555224462500.00%8187.50%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
2Blackhawks21000001431110000003121000000112-130.75046100058936812648648879185569214664125.00%20100.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
3Blues32100000981211000007701100000021140.667916250058936812103864887918551074215978337.50%5340.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
4Bruins4310000016106220000008352110000087160.750162440005893681212086488791855128284812419421.05%14750.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
5Canadiens40200011914-52010001067-12010000137-430.37591524105893681213686488791855132563812314535.71%19478.95%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
6Canucks3020100058-32020000026-41000100032120.33358131058936812100864887918551002614676116.67%7185.71%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
7Capitals633000001922-331200000812-4321000001110160.5001933520058936812208864887918552095411618444613.64%37878.38%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
8Devils623000011823-5312000001013-331100001810-250.4171831491058936812179864887918552029013619138615.79%481372.92%11237218556.61%1148217852.71%621110656.15%1815104617517611433717
9Ducks21000001642110000004131000000123-130.750691500589368127486488791855642211594125.00%30100.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
10Flames431000001165110000004133210000075260.750111829005893681212986488791855118441610914214.29%80100.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
11Flyers632000011917232000001106431200000911-270.58319294800589368121838648879185517354109192421126.19%37781.08%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
12Islanders623001001823-530300000612-6320001001211150.4171833511058936812188864887918551855397171431023.26%36975.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
13Kings210000016601000000134-11100000032130.750610160058936812728648879185566228506116.67%4175.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
14Maple Leafs42200000871211000004312110000044040.50081321005893681213986488791855125484110412216.67%18288.89%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
15Oilers21100000440110000003121010000013-220.500459005893681261864887918557618652300.00%30100.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
16Predators2110000034-1110000002021010000014-320.50035801589368127386488791855602013577114.29%4175.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
17Rangers611001212319431100001151233000012087180.6672333560058936812193864887918551906511320233927.27%401075.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
18Red Wings412010001213-12110000034-12010100099040.500122133015893681212886488791855125374612016318.75%13284.62%11237218556.61%1148217852.71%621110656.15%1815104617517611433717
19Sabres4110001189-12010000136-32100001053250.6258122000589368121258648879185513951441181218.33%12283.33%11237218556.61%1148217852.71%621110656.15%1815104617517611433717
20Senateurs4210000111922110000046-22100000173450.625112031015893681213586488791855141455011514321.43%15566.67%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
21Sharks2020000029-71010000025-31010000004-400.00023500589368126686488791855692310597114.29%5180.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
22Stars21000001550110000002111000000134-130.7505813005893681276864887918557024864400.00%4175.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
Total823231022510226234-841181800014113116-341141302246113118-5900.5492263655914358936812268086488791855265288499324433607119.72%3457877.39%31237218556.61%1148217852.71%621110656.15%1815104617517611433717
24Wild21000010752110000003211000001043141.0007815005893681268864887918554919657500.00%30100.00%01237218556.61%1148217852.71%621110656.15%1815104617517611433717
_Since Last GM Reset823231022510226234-841181800014113116-341141302246113118-5900.5492263655914358936812268086488791855265288499324433607119.72%3457877.39%31237218556.61%1148217852.71%621110656.15%1815104617517611433717
_Vs Conference54202101246161166-5271013000137784-7271080123384822580.5371612644253258936812173486488791855174958183816442876020.91%2896976.12%31237218556.61%1148217852.71%621110656.15%1815104617517611433717
_Vs Division3011120022397104-71558000024955-61564002214849-1310.517971592562058936812951864887918559593165719402004221.00%1984776.26%11237218556.61%1148217852.71%621110656.15%1815104617517611433717

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8290L322636559126802652884993244343
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82323122510226234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118180014113116
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114132246113118
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3607119.72%3457877.39%3
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
8648879185558936812
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
1237218556.61%1148217852.71%621110656.15%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1815104617517611433717


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
2 - 2019-10-0712Capitals7Penguins2LSommaire du Match
5 - 2019-10-1025Islanders5Penguins3LSommaire du Match
7 - 2019-10-1238Penguins5Islanders6LXSommaire du Match
9 - 2019-10-1450Flyers1Penguins4WSommaire du Match
11 - 2019-10-1662Penguins2Rangers1WXXSommaire du Match
14 - 2019-10-1972Penguins3Capitals4LSommaire du Match
16 - 2019-10-2185Rangers4Penguins1LSommaire du Match
19 - 2019-10-24102Devils5Penguins4LSommaire du Match
22 - 2019-10-27120Penguins2Devils4LSommaire du Match
23 - 2019-10-28124Red Wings4Penguins1LR2Sommaire du Match
25 - 2019-10-30138Penguins2Flames1WSommaire du Match
27 - 2019-11-01148Penguins2Flyers5LSommaire du Match
29 - 2019-11-03156Rangers2Penguins9WSommaire du Match
32 - 2019-11-06171Devils4Penguins5WSommaire du Match
34 - 2019-11-08177Penguins5Flyers2WSommaire du Match
35 - 2019-11-09188Penguins5Red Wings6LR2Sommaire du Match
37 - 2019-11-11200Islanders4Penguins2LSommaire du Match
40 - 2019-11-14213Penguins4Capitals3WSommaire du Match
42 - 2019-11-16224Flyers4Penguins3LXXSommaire du Match
44 - 2019-11-18234Penguins3Kings2WSommaire du Match
47 - 2019-11-21251Senateurs1Penguins3WSommaire du Match
51 - 2019-11-25269Flames1Penguins4WSommaire du Match
53 - 2019-11-27283Penguins0Sharks4LSommaire du Match
54 - 2019-11-28291Wild2Penguins3WSommaire du Match
58 - 2019-12-02307Penguins1Blackhawks2LXXSommaire du Match
60 - 2019-12-04317Rangers6Penguins5LXXSommaire du Match
64 - 2019-12-08332Penguins4Devils3WSommaire du Match
66 - 2019-12-10344Stars1Penguins2WSommaire du Match
68 - 2019-12-12358Penguins4Red Wings3WXR2Sommaire du Match
69 - 2019-12-13366Canadiens3Penguins4WXXR2Sommaire du Match
73 - 2019-12-17385Penguins1Predators4LSommaire du Match
74 - 2019-12-18393Devils4Penguins1LSommaire du Match
78 - 2019-12-22411Penguins2Sabres1WSommaire du Match
79 - 2019-12-23416Predators0Penguins2WSommaire du Match
82 - 2019-12-26433Penguins1Maple Leafs3LSommaire du Match
83 - 2019-12-27440Ducks1Penguins4WSommaire du Match
87 - 2019-12-31459Sabres2Penguins1LXXSommaire du Match
90 - 2020-01-03478Penguins5Islanders4WSommaire du Match
92 - 2020-01-05483Bruins2Penguins5WSommaire du Match
94 - 2020-01-07498Penguins5Senateurs0WSommaire du Match
96 - 2020-01-09506Canadiens4Penguins2LR2Sommaire du Match
98 - 2020-01-11520Penguins2Flames3LSommaire du Match
100 - 2020-01-13527Penguins2Islanders1WSommaire du Match
101 - 2020-01-14536Senateurs5Penguins1LSommaire du Match
104 - 2020-01-17549Penguins3Flames1WSommaire du Match
106 - 2020-01-19560Red Wings0Penguins2WR2Sommaire du Match
108 - 2020-01-21571Penguins2Ducks3LXXSommaire du Match
110 - 2020-01-23582Blackhawks1Penguins3WSommaire du Match
112 - 2020-01-25594Penguins2Senateurs3LXXSommaire du Match
114 - 2020-01-27603Penguins2Flyers4LSommaire du Match
115 - 2020-01-28610Sharks5Penguins2LSommaire du Match
119 - 2020-02-01629Penguins2Blues1WSommaire du Match
120 - 2020-02-02634Canucks3Penguins1LSommaire du Match
124 - 2020-02-06654Canucks3Penguins1LSommaire du Match
126 - 2020-02-08666Penguins3Canucks2WXSommaire du Match
128 - 2020-02-10677Penguins3Stars4LXXSommaire du Match
129 - 2020-02-11683Maple Leafs1Penguins3WSommaire du Match
132 - 2020-02-14700Penguins1Oilers3LSommaire du Match
133 - 2020-02-15707Capitals1Penguins3WSommaire du Match
136 - 2020-02-18720Penguins2Rangers3LXSommaire du Match
137 - 2020-02-19731Flyers1Penguins3WSommaire du Match
140 - 2020-02-22742Penguins4Wild3WXXSommaire du Match
142 - 2020-02-24752Capitals4Penguins3LSommaire du Match
146 - 2020-02-28774Kings4Penguins3LXXSommaire du Match
148 - 2020-03-01783Penguins2Devils3LXXSommaire du Match
150 - 2020-03-03796Penguins6Bruins4WSommaire du Match
151 - 2020-03-04803Avalanche3Penguins1LSommaire du Match
154 - 2020-03-07816Penguins4Rangers3WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
156 - 2020-03-09826Islanders3Penguins1LSommaire du Match
159 - 2020-03-12841Penguins3Maple Leafs1WSommaire du Match
161 - 2020-03-14851Oilers1Penguins3WSommaire du Match
163 - 2020-03-16866Penguins2Bruins3LSommaire du Match
165 - 2020-03-18874Maple Leafs2Penguins1LSommaire du Match
168 - 2020-03-21892Sabres4Penguins2LSommaire du Match
170 - 2020-03-23897Penguins4Capitals3WSommaire du Match
174 - 2020-03-27916Bruins1Penguins3WSommaire du Match
175 - 2020-03-28921Penguins3Sabres2WXXSommaire du Match
179 - 2020-04-01941Blues3Penguins6WSommaire du Match
182 - 2020-04-04953Penguins1Canadiens2LXXR2Sommaire du Match
184 - 2020-04-06962Blues4Penguins1LSommaire du Match
185 - 2020-04-07967Penguins2Avalanche3LSommaire du Match
188 - 2020-04-10982Penguins2Canadiens5LR2Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4525
Assistance56,03837,346
Assistance PCT68.34%91.09%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2278 - 75.92% 89,423$3,666,348$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,606,234$ 2,919,958$ 1,749,958$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,368$ 2,806,251$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 19,579$ 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
Saison Régulière
1378243303459220245-2539141601233114116-239101702226106129-23482203645841055748311262684988985975261091167621743317422.36%3147775.48%41049212249.43%1003197350.84%568110551.40%170697917087201348679
14823231022510226234-841181800014113116-341141302246113118-5902263655914358936812268086488791855265288499324433607119.72%3457877.39%31237218556.61%1148217852.71%621110656.15%1815104617517611433717
Total Saison Régulière16056640561019446479-3380323401247227232-5802430044612219247-28138446729117553113167151235306171317761777130526217951669461769114520.98%65915576.48%72286430753.08%2151415151.82%1189221153.78%352220263459148227811396