Penguins
GP: 7 | W: 3 | L: 4
GF: 20 | GA: 31 | PP%: 0.00% | PK%: 71.43%
DG: Frank-Olivier Allard-Bouchard | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Americans
11-10-0, 22pts
4
FINAL
5 Penguins
3-4-0, 6pts
Team Stats
L2StreakL1
7-5-0Home Record1-2-0
4-5-0Away Record2-2-0
5-4-1Last 10 Games3-4-0
4.29Buts par match 2.86
3.29Buts contre par match 4.43
34.62%Pourcentage en avantage numérique0.00%
70.27%Pourcentage en désavantage numérique71.43%
Penguins
3-4-0, 6pts
1
FINAL
5 Americans
11-10-0, 22pts
Team Stats
L1StreakL2
1-2-0Home Record7-5-0
2-2-0Away Record4-5-0
3-4-0Last 10 Games5-4-1
2.86Buts par match 4.29
4.43Buts contre par match 3.29
0.00%Pourcentage en avantage numérique34.62%
71.43%Pourcentage en désavantage numérique70.27%
Meneurs d'équipe
Akira SchmidVictoires
Akira Schmid
2
Christopher GibsonPourcentage d’arrêts
Christopher Gibson
0.897

Statistiques d’équipe
Buts pour
20
2.86 GFG
Tirs pour
233
33.29 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
38.0%
Buts contre
31
4.43 GAA
Tirs contre
285
40.71 Avg
Pourcentage en désavantage numérique
71.4%
8 GA
Début de la zone défensive
43.0%
Information d’équipe

Directeur généralFrank-Olivier Allard-Bouchard
EntraîneurScott Gordon
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineBuddy Robinson
Assistant #1Cole Sillinger
Assistant #2Michael Carcone


Informations de l’aréna

Capacité3,000
Assistance2,366
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 80
Espoirs28


Historique d'équipe

Saison actuelle3-4
Historique131-86-25 (0.541%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)5-8
Stanley Cup0


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
1Denis Gurianov0XX100.006137947484838671576863557269670756602623,200,000$
2Cole Sillinger (R) (A)0X100.00714185687883896675636264676263075650202950,000$
3Buddy Robinson (C)0XX100.00867673609980825957625863607274075640322999,999$
4Michael Carcone (R) (A)0XXX100.00684266656376876763666859656769075640274750,000$
5Tim Gettinger (R)0XX100.00836380609781796263615865606567075640253963,800$
6John Leonard (R)0XX100.00633695627289856463616062666566075630254925,000$
7Jeffrey Viel (R)0X100.00778150628184816360585962656668075620262999,999$
8Liam O'Brien0XX100.00907250588079775965575862576971075620291974,700$
9Jean-Sebastien Dea0XX100.00603781636780876268606159626971075620291974,800$
10Justin Kirkland (R)0XXX100.00693973588077795978585962606769075610274750,000$
11Joseph Gambardella0XX100.00613792597073835870625758627072075610301750,000$
12Martin Pospisil (R)0XXX100.00664358607587725862605758596466075600242750,000$
13Lassi Thomson (R)0X100.00663776657284826330685861506365075630231925,000$
14Alexander Peters (R)0X100.00814567589072715530575661476769075610272950,000$
15Jakub Galvas (R)0X100.00563691636585845930605264476466075610242950,000$
16Seth Helgeson0X100.00814664549063865230535258457378075600331750,000$
17Jonathan Aspirot (R)84X100.00654366577469765630585559476769075590242750,000$
18James Greenway (R)0X100.00865057539567665257535059496567075580252950,000$
Rayé
1Max Willman0XX100.00663782607180865965585961606870075620281750,000$
2Joseph LaBate0X100.00827155579182805658555861577072075610301750,000$
3Luke Johnson26X100.00584072606780765967585663576971075600291750,000$
4Brandon Coe (R)0X100.00753990558465695360565458526264075590223950,000$
5Henri Nikkanen (R)0X100.00774088558668725360545358556264075590223950,000$
6Riley McKay0X100.00665850567565645456555354566466075570242750,000$
7Simon Lundmark (R)0X100.00723992558166825430565355456365075590232950,000$
8Louis Crevier (R)0X100.00653793527468715130525053456264075570223950,000$
MOYENNE D’ÉQUIPE100.0071477560797679595459576056666807561
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 SPÂgeContratSalaire
1Akira Schmid (R)100.0076807890757476757476756369075660232950,000$
2Christopher Gibson100.0072606184717072717072717385075640312750,000$
Rayé
1Olivier Rodrigue (R)100.0070626370696870696870696369075610231925,000$
MOYENNE D’ÉQUIPE100.007367678172717372717372667407564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon67616769908455USA602750,000$


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
1Buddy RobinsonPenguins (PIT)LW/RW734714012102051115.00%114120.20000370000201050.00%800000.9900000011
2Denis GurianovPenguins (PIT)LW/RW73470006142971810.34%114420.63000380000210025.00%1200010.9700000010
3Cole SillingerPenguins (PIT)C71560201123197145.26%114620.95000380000200053.85%22100000.8200000000
4Michael CarconePenguins (PIT)C/LW/RW73250409151842916.67%014320.45000280000200020.93%4300100.7000000010
5Jean-Sebastien DeaPenguins (PIT)C/RW72241002191441414.29%111216.1100000000001158.62%14500000.7100000100
6Tim GettingerPenguins (PIT)LW/RW7224140159239198.70%412417.8000027000040052.94%1700000.6400000010
7Seth HelgesonPenguins (PIT)D7033-1403237040.00%1014120.2400007000020000.00%000000.4200000000
8Jeffrey VielPenguins (PIT)LW7213117533117618.18%0578.28000000000100100.00%200001.0300100002
9Liam O'BrienPenguins (PIT)C/LW712302019315376.67%0689.8300000000000045.00%8000000.8700000000
10Jonathan AspirotPenguins (PIT)D7033-240853350.00%1012918.4800000000020000.00%000000.4600000000
11Lassi ThomsonPenguins (PIT)D70330401195470.00%817525.1200038000021000.00%000000.3400000000
12Jakub GalvasPenguins (PIT)D71120203711349.09%1717024.3800038000020000.00%000000.2300000000
13Alexander PetersPenguins (PIT)D7101-114025751420.00%713118.760001800006100.00%000000.1500000000
14John LeonardPenguins (PIT)LW/RW7011-52039172110.00%28111.6800000000000057.14%700000.2400000000
15Martin PospisilPenguins (PIT)C/LW/RW7101-420128103310.00%07310.4800000000000052.50%8000000.2700000000
16James GreenwayPenguins (PIT)D7011-2601503120.00%611115.890000000001000.00%000000.1800000000
17Justin KirklandPenguins (PIT)C/LW/RW70000002415150.00%1689.7500000000000075.00%400000.0000000000
18Joseph GambardellaPenguins (PIT)C/LW7000-4001484150.00%18111.5800027000000057.14%2100000.0000000000
Statistiques d’équipe totales ou en moyenne126203454-15715189152233681788.58%70210416.70000228200001803151.25%64000110.5100100143
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
1Akira SchmidPenguins (PIT)42200.8874.3225000181590100.000043000
2Christopher GibsonPenguins (PIT)31200.8974.3318000131260100.000034100
Statistiques d’équipe totales ou en moyenne73400.8914.3343000312850200.000077100


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Akira SchmidPenguins (PIT)G235/12/2000Yes205 Lbs6 ft5NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Alexander PetersPenguins (PIT)D277/2/1996Yes220 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Brandon CoePenguins (PIT)RW2212/1/2001Yes188 Lbs6 ft4NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Buddy RobinsonPenguins (PIT)LW/RW329/30/1991No232 Lbs6 ft6NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Christopher GibsonPenguins (PIT)G3112/27/1992No217 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Cole SillingerPenguins (PIT)C205/16/2003Yes201 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Denis Gurianov (contrat à 1 volet)Penguins (PIT)LW/RW266/7/1997No205 Lbs6 ft3NoNoNo2Pro & Farm3,200,000$3,200,000$3,200,000$0$No3,200,000$Lien / Lien NHL
Henri NikkanenPenguins (PIT)C224/28/2001Yes200 Lbs6 ft4NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Jakub GalvasPenguins (PIT)D246/15/1999Yes161 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
James GreenwayPenguins (PIT)D254/27/1998Yes211 Lbs6 ft6NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jean-Sebastien DeaPenguins (PIT)C/RW292/8/1994No174 Lbs5 ft11NoNoNo1Pro & Farm974,800$974,800$0$0$NoLien / Lien NHL
Jeffrey VielPenguins (PIT)LW261/28/1997Yes205 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
John LeonardPenguins (PIT)LW/RW258/7/1998Yes196 Lbs5 ft11NoNoNo4Pro & Farm925,000$925,000$0$0$No919,700$919,700$919,700$Lien / Lien NHL
Jonathan AspirotPenguins (PIT)D245/16/1999Yes200 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Joseph GambardellaPenguins (PIT)C/LW3012/1/1993No196 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Joseph LaBatePenguins (PIT)LW304/16/1993No210 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Justin KirklandPenguins (PIT)C/LW/RW278/2/1996Yes183 Lbs6 ft3NoNoNo4Pro & Farm750,000$750,000$0$0$No895,000$895,000$895,000$Lien / Lien NHL
Lassi ThomsonPenguins (PIT)D239/24/2000Yes190 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Liam O'BrienPenguins (PIT)C/LW297/29/1994No213 Lbs6 ft1NoNoNo1Pro & Farm974,700$974,700$0$0$NoLien / Lien NHL
Louis CrevierPenguins (PIT)D225/4/2001Yes196 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Luke JohnsonPenguins (PIT)C299/19/1994No174 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Martin PospisilPenguins (PIT)C/LW/RW2411/19/1999Yes173 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Max WillmanPenguins (PIT)C/LW282/13/1995No184 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Michael CarconePenguins (PIT)C/LW/RW275/19/1996Yes170 Lbs5 ft9NoNoNo4Pro & Farm750,000$750,000$0$0$No899,900$899,900$899,900$Lien / Lien NHL
Olivier RodriguePenguins (PIT)G237/6/2000Yes158 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Riley McKayPenguins (PIT)LW243/7/1999No203 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Seth HelgesonPenguins (PIT)D3310/8/1990No219 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Simon LundmarkPenguins (PIT)D2310/8/2000Yes201 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tim GettingerPenguins (PIT)LW/RW254/14/1998Yes220 Lbs6 ft6NoNoNo3Pro & Farm963,800$925,000$0$0$No963,800$963,800$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.97197 Lbs6 ft22.03954,769$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovCole SillingerMichael Carcone31023
2Buddy RobinsonJean-Sebastien DeaTim Gettinger31023
3Joseph GambardellaMartin PospisilJohn Leonard21023
4Jeffrey VielLiam O'BrienJustin Kirkland17023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonAlexander Peters33041
2Jakub GalvasSeth Helgeson33041
3Jonathan AspirotJames Greenway20041
4Lassi ThomsonJakub Galvas14041
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovCole SillingerMichael Carcone50005
2Buddy RobinsonJoseph GambardellaTim Gettinger50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonAlexander Peters50005
2Jakub GalvasSeth Helgeson50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerDenis Gurianov50050
2Michael CarconeBuddy Robinson50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonJonathan Aspirot50050
2Jakub GalvasSeth Helgeson50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Sillinger50050Lassi ThomsonJonathan Aspirot50050
2Michael Carcone50050Jakub GalvasSeth Helgeson50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerDenis Gurianov60023
2Michael CarconeBuddy Robinson40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonAlexander Peters60032
2Jakub GalvasSeth Helgeson40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovCole SillingerMichael CarconeLassi ThomsonAlexander Peters
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovCole SillingerMichael CarconeLassi ThomsonAlexander Peters
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Sillinger, John Leonard, Jean-Sebastien DeaTim Gettinger, John LeonardTim Gettinger
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Helgeson, Jonathan Aspirot, James GreenwaySeth HelgesonSeth Helgeson, Jonathan Aspirot
Tirs de pénalité
Denis Gurianov, Cole Sillinger, Michael Carcone, Buddy Robinson, Tim Gettinger
Gardien
#1 : Akira Schmid, #2 : Christopher Gibson
Lignes d’attaque personnalisées en prolongation
Denis Gurianov, Cole Sillinger, Michael Carcone, Buddy Robinson, Tim Gettinger, John Leonard, John Leonard, Jean-Sebastien Dea, Liam O'Brien, Jeffrey Viel, Justin Kirkland
Lignes de défense personnalisées en prolongation
Lassi Thomson, James Greenway, Jakub Galvas, Seth Helgeson, Jonathan Aspirot


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
TotalDomicileVisiteur
# 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
1Americans734000002031-11312000001116-542200000915-660.42920345400937123374758042857071189900.00%28871.43%013624355.97%12727546.18%6512253.28%157108180529243
Total734000002031-11312000001116-542200000915-660.42920345400937123374758042857071189900.00%28871.43%013624355.97%12727546.18%6512253.28%157108180529243
_Since Last GM Reset734000002031-11312000001116-542200000915-660.42920345400937123374758042857071189900.00%28871.43%013624355.97%12727546.18%6512253.28%157108180529243
_Vs Conference734000002031-11312000001116-542200000915-660.42920345400937123374758042857071189900.00%28871.43%013624355.97%12727546.18%6512253.28%157108180529243

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1203454233285707118900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4220000915
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
900.00%28871.43%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
74758049371
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
13624355.97%12727546.18%6512253.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
157108180529243


Derniers matchs 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 - 2024-04-181Penguins2Americans1AWSommaire du match
3 - 2024-04-209Penguins2Americans7ALSommaire du match
5 - 2024-04-2217Americans5Penguins3BLSommaire du match
7 - 2024-04-2425Americans7Penguins3BLSommaire du match
9 - 2024-04-2633Penguins4Americans2AWSommaire du match
11 - 2024-04-2841Americans4Penguins5BWXSommaire du match
13 - 2024-04-3049Penguins1Americans5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4121
Assistance4,5902,509
Assistance PCT76.50%83.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2366 - 78.88% 100,366$301,098$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,448,830$ 2,324,950$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Penguins Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Cole Sillinger1549089179392612952769812.89%40312320.281424381221121417457.04%11.1528
2Buddy Robinson23868991675015862429366710.19%59407117.1191827882131010452.49%00.8214
3Tim Gettinger2376288150271134372596669.31%49375615.8515153010600098450.80%10.8012
4Jakub Zboril1402298120261284082102478.91%186315522.541428421220114100.00%00.7600
5Lassi Thomson2162885113121263472423278.56%275467221.631120311541124020.00%00.4800

Penguins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Christopher Gibson1527246160.8983.51805612447146180320.70617
2Akira Schmid80392470.9073.1441714021823330100.7789
3Antoine Bibeau2210430.9043.31107100596150110.69213
4Vasily Demchenko136400.9053.2263320343580110.0000
5Olivier Rodrigue184620.8973.4475100434160200.0000

Penguins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
2382323201071031029416411715036001521457411517071101581499933105618712111399871230831052100998542294481666519472606023.08%2896178.89%41754316355.45%1657299255.38%749137154.63%2007139919145821036525
2022823826066243282765241211204112161128334117140251216714819102328613941121299299103052984962106461273377961719752456526.53%2637372.24%11707297057.47%1596279657.08%750139953.61%2108150318305641039536
2023823728031022311282294119110261216514520411817014101461379963115548651110711089730431006994101246280979874021232554818.82%3297178.42%41644308453.31%1661302854.85%736135354.40%2009139819006011053527
Total Saison régulière2461078601923569498529712357380913244784186012350480101032471434372919491728267744349301275299178304229653061149848623932022604576017322.76%88120576.73%95105921755.39%4914881655.74%2235412354.21%612543015645174731291589
Séries éliminatoires
2022624000002629-3312000001617-1312000001012-24264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
2023734000002031-11312000001116-542200000915-6620345400937123374758042857071189900.00%28871.43%013624355.97%12727546.18%6512253.28%157108180529243
Total Séries éliminatoires1358000004660-14624000002733-6734000001927-81046791250020131214651621481451047211911333636616.67%481372.92%025847754.09%23348947.65%12523652.97%3032083209917182

Penguins Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Cole Sillinger13610161220414214.29%127120.922351000000054.08%01.1800
2Jakub Zboril6279-405131513.33%514023.4621380000000.00%01.2800
3Buddy Robinson13459263114419.76%224919.16000600001035.29%00.7200
4Jakub Galvas13178281516195.26%2728922.2600030000000.00%00.5500
5Tim Gettinger134370420163411.76%519515.06000200000060.00%00.7200

Penguins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Christopher Gibson93500.8694.5848520372830100.0000
2Akira Schmid42200.8874.3225000181590100.0000
3Antoine Bibeau20010.8335.0959005300000.0000