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Penguins
GP: 80 | W: 42 | L: 28 | OTL: 10 | P: 94
GF: 344 | GA: 335 | PP%: 23.08% | PK%: 74.91%
DG: Sylvain Leblanc | Morale : 42 | Moyenne d’équipe : 64
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Centre de jeu
Penguins
42-28-10, 94pts
4
FINAL
2 Heat
42-33-5, 89pts
Team Stats
W2StreakW1
22-13-5Home Record22-15-3
20-15-5Away Record20-18-2
4-4-2Last 10 Games5-3-2
4.30Buts par match 4.06
4.19Buts contre par match 4.05
23.08%Pourcentage en avantage numérique26.77%
74.91%Pourcentage en désavantage numérique76.83%
Thunderbirds
51-25-4, 106pts
1
FINAL
5 Penguins
42-28-10, 94pts
Team Stats
L1StreakW2
26-13-1Home Record22-13-5
25-12-3Away Record20-15-5
9-1-0Last 10 Games4-4-2
4.25Buts par match 4.30
3.80Buts contre par match 4.19
20.88%Pourcentage en avantage numérique23.08%
78.65%Pourcentage en désavantage numérique74.91%
Meneurs d'équipe
Buts
Matthew Tkachuk
58
Passes
Evan Rodrigues
78
Points
Evan Rodrigues
116
Plus/Moins
Matthew Finn
19
Victoires
Jeremy Swayman
27
Pourcentage d’arrêts
Jeremy Swayman
0.888

Statistiques d’équipe
Buts pour
344
4.30 GFG
Tirs pour
2747
34.34 Avg
Pourcentage en avantage numérique
23.1%
75 GF
Début de zone offensive
37.6%
Buts contre
335
4.19 GAA
Tirs contre
2656
33.20 Avg
Pourcentage en désavantage numérique
74.9%%
73 GA
Début de la zone défensive
34.9%
Informations de l'équipe

Directeur généralSylvain Leblanc
EntraîneurAlex Kovalev
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,770
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 250
Espoirs0


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
1Andy AndreoffX100.009270747489668870687169677470613841720261900,000$
2Matthew Tkachuk (R)X100.008850737489588475557172676248456771700201500,000$
3Victor Olofsson (R)X100.006028817576777177686477617450465929690211650,000$
4Evan Rodrigues (R)X100.006553797074787670657271657551495163690244900,000$
5Iven Barbashev (R)X100.006741737673707070687569627546445163680213600,000$
6Max Gortz (R)X100.005733836763636470656773537251493762650242625,000$
7Sam Kurker (R)X100.007043646675637970636669535745453662640232575,000$
8Adam Brooks (R)X100.006935735578606266697277466544455862640211500,000$
9Eetu Luostarinen (R)X100.005331916663807352646754705143417562630192500,000$
10Denis Malgin (R)X100.007038716561686969696265547143446131630204500,000$
11Juuso Ikonen (R)X100.005429756763595971606266626444464322620222500,000$
12Jeff Malott (R)X100.006737655574595460647081406447456062620212500,000$
13Andrew O'BrienX100.007759806975657562537264755964533740710251800,000$
14Brett Kulak (R)X100.007533767573767067616967796660494124710232900,000$
15Gavin Bayreuther (R)X100.005738738163636685328760654053505652680231500,000$
16Danny BiegaX100.006536806168736563437157764561562629670261650,000$
17John Marino (R)X100.007044796864707070547459655343445862660204700,000$
18Matthew Finn (R)X100.005828766963626270397148704945453335640232550,000$
Rayé
1Curtis HamiltonX100.005926816467726567616972506555563020640261600,000$
2Raphael Bussieres (R)X100.006540726471626363586570566646473319630241575,000$
3Jesper Boqvist (R)X100.006035715175625871585778375743426319600192500,000$
4Josh Ho-Sang (R)X100.005636696364656666535967355843434720580213500,000$
5Brett Pollock (R)X100.005630706158635656566349625043434919570212500,000$
6Steven Spinner (R)X100.006456595368577153555460384843434520550212500,000$
7German Rubtsov (R)X100.005039745054554960525659394941416520530191500,000$
8Dakota Mermis (R)X95.986837827969686867526969696757504830690232900,000$
9Austin Strand (R)X100.005731655763566666335945594943455718580202500,000$
MOYENNE D’ÉQUIPE99.85653974666966676757676558604947493964
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
1Jeremy Swayman (R)100.00497961686369748278635043418262680192500,000$
2Anthony Stolarz100.00737078576371716554766246494131650231800,000$
Rayé
1Cal Petersen100.00606466576077785352847046474419640233600,000$
MOYENNE D’ÉQUIPE100.0061716861627274676174614546563766
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Kovalev66646970404258RUS473500,000$


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
1Evan RodriguesPenguins (Pit)C803878116051151341602357715916.17%54175921.991328414527810161722245.11%20153237101.3217111654
2Matthew TkachukPenguins (Pit)RW785850108138515132742899118020.07%34142818.3118133148253000146938.64%1327236021.51170031273
3Iven BarbashevPenguins (Pit)LW8037377465951651092227614316.67%33143317.92415191620900021236242.27%975124001.0300001833
4Gavin BayreutherPenguins (Pit)D8012576985607511620889915.77%110169721.2271320462120002164100.00%03162000.8101000122
5Victor OlofssonPenguins (Pit)RW673137681230087722286915013.60%22116617.4151217241790001422344.12%1365029001.1718000634
6Andy AndreoffPenguins (Pit)LW45252752636109152154459616.23%2583818.64257108701131182050.85%593119011.2425200233
7Adam BrooksPenguins (Pit)C801331441532012910695225613.68%19124815.6036961580001673146.19%892137000.7000000012
8Andrew O'BrienPenguins (Pit)D6452833-1764101191049337375.38%109174027.20369182290002194110.00%02461000.3800001101
9Max GortzPenguins (Pit)RW801518330120645215545979.68%1390811.35000018000131054.55%443017000.7300000200
10Sam KurkerPenguins (Pit)RW80151429-51607236139369110.79%256708.3800005000001136.36%22204000.8700000005
11Dakota MermisPenguins (Pit)D64819278160989611046517.27%116147423.05527201930002165210.00%03748000.3700000011
12Brett KulakPenguins (Pit)D58521266520911148434445.95%91135623.3824661310002139100.00%02446000.3800000100
13Pavel ZachaPenguinsLW20121426-660304353183422.64%738319.1725711571012324047.19%392115001.3603000120
14Curtis HamiltonPenguins (Pit)LW5112112301805336104244611.54%960611.90000050002613252.94%17167000.7600000122
15Danny BiegaPenguins (Pit)D70320233315541045025186.00%89115116.46112288000098000.00%0343000.4000000002
16John MarinoPenguins (Pit)D8032023126064764420346.82%55116914.62112235101175010.00%0632000.3900000111
17Jeff MalottPenguins (Pit)LW8012820-4240662385286114.12%66227.7800000000084028.57%7213000.6400000111
18Eetu LuostarinenPenguins (Pit)C805111672049724373411.63%2687510.951011170110600045.52%413316000.3700000000
19Matthew FinnPenguins (Pit)D5111314198025412911133.45%3563512.4600005000013010.00%0322000.4400000000
20Jesper BoqvistPenguins (Pit)C484711-926035304819298.33%749310.29000021013420242.34%222125000.4500000000
21Denis MalginPenguins (Pit)C386410-2295342137172116.22%83228.4800000000040149.17%12064000.6200001000
22Juuso IkonenPenguins (Pit)LW10213-12087153913.33%2818.1800000000070075.00%411000.7300000000
23Austin StrandPenguins (Pit)D140119406104120.00%814110.110000000002000.00%002000.1400000000
24Raphael BussieresPenguins (Pit)LW3011000211140.00%0227.420000000000000.00%020000.9000000000
25Sebastian AhoPenguinsC4011-600713214130.00%08521.48000111000030058.27%12752000.2301000000
26German RubtsovPenguins (Pit)C5011100012010.00%0306.1700000000000060.00%1501000.6500000000
27Brett PollockPenguins (Pit)LW3000000000000.00%031.260000000003000.00%000000.00%00000000
28Josh Ho-SangPenguins (Pit)RW7000-100201130.00%0182.680000000002000.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne14203225308526368565169215692549846151712.63%9032236915.75671111782562179426311612392745.77%4715504533130.76532317433134
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
1Jeremy SwaymanPenguins (Pit)59271950.8883.673039001861667865800.556185228342
2Anthony StolarzPenguins (Pit)113410.8295.444190038222125100.00%0825000
Statistiques d’équipe totales ou en moyenne70302360.8813.89345800224188999090186053342


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 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
Adam BrooksPenguins (Pit)C211996-01-01Yes181 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
Andrew O'BrienPenguins (Pit)D251992-01-01No200 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Andy AndreoffPenguins (Pit)LW261991-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Anthony StolarzPenguins (Pit)G231994-01-01No210 Lbs6 ft5NoNoNo1Pro & Farm800,000$0$0$NoLien
Austin StrandPenguins (Pit)D201997-01-01Yes215 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brett KulakPenguins (Pit)D231994-01-01Yes181 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Brett PollockPenguins (Pit)LW211996-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Cal PetersenPenguins (Pit)G231994-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Curtis HamiltonPenguins (Pit)LW261991-01-01No212 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Dakota MermisPenguins (Pit)D231994-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No1,100,000$Lien
Danny BiegaPenguins (Pit)D261991-01-01No205 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Denis MalginPenguins (Pit)C201997-01-01Yes177 Lbs5 ft9NoNoNo4Pro & Farm500,000$0$0$No500,000$700,000$700,000$Lien
Eetu LuostarinenPenguins (Pit)C191998-01-01Yes190 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Evan RodriguesPenguins (Pit)C241993-01-01Yes184 Lbs5 ft11NoNoNo4Pro & Farm900,000$0$0$No999,999$1,500,000$2,000,000$Lien
Gavin BayreutherPenguins (Pit)D231994-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
German RubtsovPenguins (Pit)C191998-01-01Yes187 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Iven BarbashevPenguins (Pit)LW211996-01-01Yes187 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No700,000$800,000$Lien
Jeff MalottPenguins (Pit)LW211996-01-01Yes201 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jeremy SwaymanPenguins (Pit)G191998-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jesper BoqvistPenguins (Pit)C191998-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
John MarinoPenguins (Pit)D201997-01-01Yes181 Lbs6 ft1NoNoNo4Pro & Farm700,000$0$0$No725,000$775,000$800,000$Lien
Josh Ho-SangPenguins (Pit)RW211996-01-01Yes173 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Juuso IkonenPenguins (Pit)LW221995-01-01Yes185 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$
Matthew FinnPenguins (Pit)D231994-01-01Yes199 Lbs6 ft0NoNoNo2Pro & Farm550,000$0$0$No600,000$Lien
Matthew TkachukPenguins (Pit)RW201997-01-01Yes203 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Max GortzPenguins (Pit)RW241993-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm625,000$0$0$No650,000$Lien
Raphael BussieresPenguins (Pit)LW241993-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Sam KurkerPenguins (Pit)RW231994-01-01Yes201 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No600,000$Lien
Steven SpinnerPenguins (Pit)RW211996-01-01Yes202 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Victor OlofssonPenguins (Pit)RW211996-01-01Yes181 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3022.03193 Lbs6 ft11.93610,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andy AndreoffEvan RodriguesMatthew Tkachuk40122
2Iven BarbashevAdam BrooksVictor Olofsson30122
3Juuso IkonenEetu LuostarinenMax Gortz20122
4Jeff MalottDenis MalginSam Kurker10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew O'BrienBrett Kulak40122
2Gavin BayreutherDanny Biega30122
3John MarinoMatthew Finn20122
4Andrew O'BrienBrett Kulak10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andy AndreoffEvan RodriguesMatthew Tkachuk60122
2Iven BarbashevAdam BrooksVictor Olofsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew O'BrienBrett Kulak60122
2Gavin BayreutherDanny Biega40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Evan RodriguesAndy Andreoff60122
2Adam BrooksIven Barbashev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew O'BrienBrett Kulak60122
2Gavin BayreutherDanny Biega40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Evan Rodrigues60122Andrew O'BrienBrett Kulak60122
2Adam Brooks40122Gavin BayreutherDanny Biega40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Evan RodriguesAndy Andreoff60122
2Adam BrooksIven Barbashev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew O'BrienBrett Kulak60122
2Gavin BayreutherDanny Biega40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andy AndreoffEvan RodriguesMatthew TkachukAndrew O'BrienBrett Kulak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andy AndreoffEvan RodriguesMatthew TkachukAndrew O'BrienBrett Kulak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Iven Barbashev, Max Gortz, Sam KurkerIven Barbashev, Max GortzIven Barbashev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Danny Biega, John Marino, Matthew FinnDanny BiegaDanny Biega, John Marino
Tirs de pénalité
Andy Andreoff, Matthew Tkachuk, Victor Olofsson, Evan Rodrigues, Iven Barbashev
Gardien
#1 : Jeremy Swayman, #2 : Anthony Stolarz


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
1Admirals21100000990110000007431010000025-320.500917260091126118176484897090659642118402150.00%9366.67%0877192045.68%787178544.09%659140746.84%170193917287611447719
2Barracuda210000101192110000007611000001043141.000111829009112611817588489709065977238484250.00%4250.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
3Bears422000001013-3321000007611010000037-440.50010162600911261181714184897090659124492610013215.38%13192.31%0877192045.68%787178544.09%659140746.84%170193917287611447719
4Comets3300000017982200000012751100000052361.000172845009112611817113848970906599830177916531.25%60100.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
5Condors21100000111011010000056-11100000064220.5001117280091126118177384897090659673011426116.67%3166.67%0877192045.68%787178544.09%659140746.84%170193917287611447719
6Crunch720012023334-1310001011617-14100110117170100.714335487009112611817258848970906592429462148411126.83%291162.07%1877192045.68%787178544.09%659140746.84%170193917287611447719
7Devils312000001013-320200000512-71100000051420.3331016260091126118179684897090659945131666116.67%12466.67%0877192045.68%787178544.09%659140746.84%170193917287611447719
8Eagles624000002728-13120000015132312000001215-340.33327477400911261181721684897090659179737012732928.13%30873.33%0877192045.68%787178544.09%659140746.84%170193917287611447719
9Griffins20100001810-21000000134-11010000056-110.250815230091126118176884897090659712910587342.86%5180.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
10Heat321000001012-2110000004312110000069-340.66710172700911261181787848970906591122720686116.67%10370.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
11Icehogs211000007701010000025-31100000052320.500713200091126118175884897090659741133348337.50%10280.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
12Little Stars311000101913611000000826201000101111040.667193150009112611817958489709065910941375315746.67%11372.73%0877192045.68%787178544.09%659140746.84%170193917287611447719
13Marlies2110000049-51010000018-71100000031220.500461000911261181774848970906596124325010110.00%11463.64%0877192045.68%787178544.09%659140746.84%170193917287611447719
14Monsters311000011215-3210000019631010000039-630.500122032009112611817100848970906598040178812216.67%60100.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
15Moose320010001486210010009541100000053261.00014233700911261181797848970906591084520651317.69%10280.00%1877192045.68%787178544.09%659140746.84%170193917287611447719
16Phantoms220000001156110000003121100000084441.000111930009112611817808489709065961278338225.00%40100.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
17Punishers30101010101001010000013-22000101097240.667101222009112611817112848970906599838145716212.50%7271.43%0877192045.68%787178544.09%659140746.84%170193917287611447719
18Rampage311000011213-11010000035-22100000198130.500122234009112611817102848970906591104126668112.50%13284.62%0877192045.68%787178544.09%659140746.84%170193917287611447719
19Reign21100000810-2110000006331010000027-520.500813210091126118176684897090659623035478112.50%10370.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
20Rocket201001001214-21010000045-11000010089-110.2501219310091126118177584897090659792716416350.00%8187.50%0877192045.68%787178544.09%659140746.84%170193917287611447719
21Senators220000001376110000007341100000064241.00013223500911261181755848970906595227174511327.27%6183.33%0877192045.68%787178544.09%659140746.84%170193917287611447719
22Sound Tigers3110000110100110000004222010000168-230.500101828009112611817115848970906599722186610110.00%10280.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
23Thunderbirds615000001825-731200000761303000001119-820.1671829470091126118171988489709065918375641452314.35%32681.25%1877192045.68%787178544.09%659140746.84%170193917287611447719
24Wolfpack612010202528-33000102014113312000001117-680.66725396400911261181721184897090659207684813831825.81%24962.50%1877192045.68%787178544.09%659140746.84%170193917287611447719
25Wolves43000001231492100000187122000000157870.8752340630091126118171358489709065914738449913323.08%8275.00%0877192045.68%787178544.09%659140746.84%170193917287611447719
Total803328043573443359401813021241671501740151502233177185-8940.588344571915009112611817274784897090659265698170218033257523.08%2917374.91%4877192045.68%787178544.09%659140746.84%170193917287611447719
_Since Last GM Reset803328043573443359401813021241671501740151502233177185-8940.588344571915009112611817274784897090659265698170218033257523.08%2917374.91%4877192045.68%787178544.09%659140746.84%170193917287611447719
_Vs Conference51181903245214210425109011221009192681002123114119-5570.559214352566009112611817179284897090659168862045711442245122.77%1955074.36%3877192045.68%787178544.09%659140746.84%170193917287611447719
_Vs Division2561102222103115-12123401121524751337011015168-17240.480103169272009112611817883848970906598113102445581272922.83%1153470.43%3877192045.68%787178544.09%659140746.84%170193917287611447719

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8094W234457191527472656981702180300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033284357344335
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018132124167150
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4015152233177185
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3257523.08%2917374.91%4
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
848970906599112611817
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
877192045.68%787178544.09%659140746.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170193917287611447719


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
2 - 2022-10-289Thunderbirds2Penguins0BLR1Sommaire du match
3 - 2022-10-2913Penguins5Crunch4AWSommaire du match
7 - 2022-11-0235Crunch2Penguins3BWSommaire du match
11 - 2022-11-0655Wolfpack3Penguins4BWXXR1Sommaire du match
12 - 2022-11-0761Penguins4Crunch3AWXSommaire du match
16 - 2022-11-1182Bears4Penguins2BLSommaire du match
18 - 2022-11-1393Penguins3Wolfpack8ALR1Sommaire du match
20 - 2022-11-15106Wolfpack6Penguins7BWXXSommaire du match
21 - 2022-11-16110Penguins5Eagles6ALSommaire du match
22 - 2022-11-17118Penguins4Thunderbirds7ALR1Sommaire du match
26 - 2022-11-21142Penguins4Sound Tigers5ALXXSommaire du match
28 - 2022-11-23149Eagles5Penguins3BLSommaire du match
31 - 2022-11-26161Penguins4Rampage2AWSommaire du match
32 - 2022-11-27173Bears1Penguins3BWSommaire du match
35 - 2022-11-30188Penguins6Punishers5AWXXSommaire du match
38 - 2022-12-03199Comets4Penguins5BWSommaire du match
41 - 2022-12-06215Penguins2Reign7ALSommaire du match
43 - 2022-12-08223Rocket5Penguins4BLSommaire du match
46 - 2022-12-11242Crunch9Penguins8BLXSommaire du match
51 - 2022-12-16263Condors6Penguins5BLSommaire du match
54 - 2022-12-19281Penguins5Griffins6ALSommaire du match
56 - 2022-12-21290Punishers3Penguins1BLSommaire du match
60 - 2022-12-25303Penguins1Eagles4ALSommaire du match
62 - 2022-12-27315Penguins3Monsters9ALSommaire du match
64 - 2022-12-29324Devils4Penguins2BLSommaire du match
67 - 2023-01-01344Sound Tigers2Penguins4BWSommaire du match
70 - 2023-01-04363Penguins8Little Stars7AWXXSommaire du match
72 - 2023-01-06372Barracuda6Penguins7BWSommaire du match
74 - 2023-01-08380Penguins6Eagles5AWSommaire du match
77 - 2023-01-11397Crunch6Penguins5BLXXSommaire du match
79 - 2023-01-13408Penguins5Devils1AWSommaire du match
82 - 2023-01-16422Monsters3Penguins2BLXXSommaire du match
85 - 2023-01-19436Penguins4Wolfpack6ALR1Sommaire du match
87 - 2023-01-21448Penguins5Icehogs2AWSommaire du match
89 - 2023-01-23456Wolfpack2Penguins3BWXR1Sommaire du match
91 - 2023-01-25471Penguins2Admirals5ALSommaire du match
92 - 2023-01-26479Heat3Penguins4BWSommaire du match
95 - 2023-01-29492Penguins3Little Stars4ALSommaire du match
96 - 2023-01-30504Griffins4Penguins3BLXXSommaire du match
101 - 2023-02-04526Phantoms1Penguins3BWSommaire du match
103 - 2023-02-06535Penguins8Phantoms4AWSommaire du match
105 - 2023-02-08544Penguins4Barracuda3AWXXSommaire du match
107 - 2023-02-10557Devils8Penguins3BLSommaire du match
109 - 2023-02-12567Penguins6Condors4AWSommaire du match
111 - 2023-02-14581Penguins5Moose3AWSommaire du match
112 - 2023-02-15588Bears1Penguins2BWSommaire du match
115 - 2023-02-18599Penguins3Thunderbirds5ALR1Sommaire du match
118 - 2023-02-21613Wolves2Penguins4BWSommaire du match
121 - 2023-02-24628Penguins5Comets2AWSommaire du match
123 - 2023-02-26638Wolves5Penguins4BLXXSommaire du match
125 - 2023-02-28649Penguins3Bears7ALSommaire du match
128 - 2023-03-03663Senators3Penguins7BWSommaire du match
131 - 2023-03-06683Penguins3Punishers2AWXSommaire du match
132 - 2023-03-07691Reign3Penguins6BWSommaire du match
136 - 2023-03-11713Moose2Penguins5BWSommaire du match
140 - 2023-03-15733Penguins6Wolves2AWSommaire du match
142 - 2023-03-17742Thunderbirds3Penguins2BLR1Sommaire du match
146 - 2023-03-21761Marlies8Penguins1BLSommaire du match
148 - 2023-03-23773Penguins8Rocket9ALXSommaire du match
150 - 2023-03-25781Penguins4Thunderbirds7ALR1Sommaire du match
152 - 2023-03-27791Moose3Penguins4BWXSommaire du match
154 - 2023-03-29805Penguins6Senators4AWSommaire du match
156 - 2023-03-31814Penguins3Marlies1AWSommaire du match
158 - 2023-04-02822Monsters3Penguins7BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2023-04-06840Eagles3Penguins8BWSommaire du match
164 - 2023-04-08851Penguins4Wolfpack3AWR1Sommaire du match
167 - 2023-04-11863Penguins9Wolves5AWSommaire du match
169 - 2023-04-13873Eagles5Penguins4BLSommaire du match
172 - 2023-04-16892Penguins5Rampage6ALXXSommaire du match
174 - 2023-04-18899Admirals4Penguins7BWSommaire du match
177 - 2023-04-21917Penguins2Sound Tigers3ALSommaire du match
179 - 2023-04-23924Penguins5Crunch6ALXXSommaire du match
180 - 2023-04-24930Rampage5Penguins3BLSommaire du match
183 - 2023-04-27945Penguins3Crunch4ALXSommaire du match
185 - 2023-04-29954Icehogs5Penguins2BLSommaire du match
190 - 2023-05-04976Little Stars2Penguins8BWSommaire du match
195 - 2023-05-091000Comets3Penguins7BWSommaire du match
196 - 2023-05-101005Penguins2Heat7ALSommaire du match
202 - 2023-05-161024Penguins4Heat2AWSommaire du match
204 - 2023-05-181036Thunderbirds1Penguins5BWR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance73,90936,878
Assistance PCT92.39%92.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2770 - 92.32% 82,425$3,296,986$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,375,428$ 1,832,500$ 1,365,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,896$ 1,861,596$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,323$ 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

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

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

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

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