Penguins
GP: 6 | W: 2 | L: 4
GF: 26 | GA: 29 | PP%: 22.22% | PK%: 75.00%
DG: Frank-Olivier Allard-Bouchard | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Penguins
2-4-0, 4pts
3
FINAL
4 Wolf Pack
6-6-0, 12pts
Team Stats
OTL1StreakOTL1
1-2-0Home Record4-2-0
1-2-0Away Record2-4-0
2-3-1Last 10 Games5-4-1
4.33Buts par match 4.33
4.83Buts contre par match 4.42
22.22%Pourcentage en avantage numérique22.50%
75.00%Pourcentage en désavantage numérique80.00%
Wolf Pack
6-6-0, 12pts
7
FINAL
6 Penguins
2-4-0, 4pts
Team Stats
OTL1StreakOTL1
4-2-0Home Record1-2-0
2-4-0Away Record1-2-0
5-4-1Last 10 Games2-3-1
4.33Buts par match 4.33
4.42Buts contre par match 4.83
22.50%Pourcentage en avantage numérique22.22%
80.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Christopher GibsonVictoires
Christopher Gibson
2
Christopher GibsonPourcentage d’arrêts
Christopher Gibson
0.847

Statistiques d’équipe
Buts pour
26
4.33 GFG
Tirs pour
232
38.67 Avg
Pourcentage en avantage numérique
22.2%
6 GF
Début de zone offensive
41.6%
Buts contre
29
4.83 GAA
Tirs contre
187
31.17 Avg
Pourcentage en désavantage numérique
75.0%
5 GA
Début de la zone défensive
38.1%
Information d’équipe

Directeur généralFrank-Olivier Allard-Bouchard
EntraîneurScott Gordon
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineBuddy Robinson
Assistant #1Joel Kellman
Assistant #2Luke Johnson


Informations de l’aréna

Capacité3,000
Assistance2,111
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 80
Espoirs21


Historique d'équipe

Saison actuelle2-4
Historique89-58-20 (0.533%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)2-4
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
1Cole Sillinger (R)0X100.00663978698185956882677064736165075670193950,000$
2Radim Zohorna (R)0XXX100.00824588679680786357666461676668075660262925,000$
3Buddy Robinson (C)0XX100.00877682619976856059615863597173075650313999,999$
4Luke Johnson (A)26X100.00743882606786706180626364596870075630282750,000$
5Tim Gettinger (R)0X100.00796376599683776066615965576466075630244925,000$
6Justin Kirkland (R)0XX100.00674371648083876157626361626668075630262750,000$
7Jake Leschyshyn (R)0X100.00633982617279816274606364616465075620233925,000$
8Joel Kellman (A)0X100.00623980617377666272646163646970075620281950,000$
9Kole Sherwood (R)0X100.00753769628083715953625860626567075620253999,999$
10Ryan MacInnis (R)0XX100.00653992558780745775585960576668075610263999,999$
11Max McCormick0XX100.00673975617079775861596157617072075610301750,000$
12Martin Pospisil (R)0XX100.00664558617682735960635861596365075610233750,000$
13Chris Wideman0X100.006336777266857968307663585372750756603231,000,000$
14Jakub Zboril (R)0X100.007735876976857368307455675364650756602531,190,000$
15Lassi Thomson (R)0X100.00643981667285826330675660516264075630222925,000$
16Jakub Galvas (R)0X100.00623581636883876230615866526367075620233950,000$
17Alexander Peters (R)0X100.00714365569068635930585461456668075600263950,000$
18Johannes Kinnvall (R)0X100.00633787626976656130635056456668075600253950,000$
Rayé
1Jayden Halbgewachs (R)0XX100.00623684676386816657656158666567075630252750,000$
2Michael Carcone (R)0XX100.00674071626389876360596457676867075620262750,000$
3Jeffrey Viel (R)0X100.00838061578174765855596155566567075610253999,999$
4Liam O'Brien0XX100.00907255598073765870565755596768075610282974,700$
5Kevin Gravel0X100.007839825487708855305653594670720756103011,499,000$
6James Greenway (R)0X100.00864570529563615230545158456466075590243950,000$
7Simon Lundmark (R)0X100.00723892558170855430555357456264075590223950,000$
8Edward Wittchow0X100.00724763528174755130535253517072075580301700,000$
MOYENNE D’ÉQUIPE100.0072457761797977605162596057666807562
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
1Christopher Gibson100.0076717084747375747375747084075660301750,000$
2Antoine Bibeau100.00716768846968706968706969810756302811,250,000$
Rayé
1Akira Schmid (R)100.0072797890717072717072716267075640223950,000$
2Olivier Rodrigue (R)100.0069676970686769686769686267075610222925,000$
3Amir Miftakhov (R)100.0066717270656466656466656267075590223950,000$
MOYENNE D’ÉQUIPE100.007171718069687069687069657307563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon71706774908459USA591750,000$


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
1Cole SillingerPenguins (PIT)C655101009182362121.74%012520.882357220000170054.39%17100001.6000000200
2Jakub ZborilPenguins (PIT)D6279-4005131541013.33%514023.46213824000016000.00%000001.2800000000
3Jakub GalvasPenguins (PIT)D60662601298050.00%1011819.7800000000015000.00%000001.0100000000
4Jayden HalbgewachsPenguins (PIT)C/LW514510011841012.50%17314.63123315000000045.45%1100001.3700000001
5Justin KirklandPenguins (PIT)C/LW6505-100781571433.33%112420.711017220000170033.33%900010.8000000100
6Johannes KinnvallPenguins (PIT)D6235-20016132415.38%1010217.0801152100000000.00%000000.9800000010
7Joel KellmanPenguins (PIT)C6134-240219122108.33%010717.99000130001150051.69%11800000.7400000000
8Ryan MacInnisPenguins (PIT)C/LW6123-20022741014.29%26611.1500000000021050.00%800000.9000000001
9Kole SherwoodPenguins (PIT)RW6213-140116162712.50%06110.1900000000000071.43%700000.9800000000
10Chris WidemanPenguins (PIT)D6123-4002812638.33%813121.91011102400006100.00%000000.4600000100
11Tim GettingerPenguins (PIT)LW6213-10057117818.18%17111.8600004000000075.00%800000.8400000000
12Radim ZohornaPenguins (PIT)C/LW/RW6123-1201612142147.14%110818.06000322000000160.00%1000000.5500000000
13Buddy RobinsonPenguins (PIT)LW/RW611212019421364.76%110717.94000322000010022.22%900000.3700000000
14Alexander PetersPenguins (PIT)D6022-21402134230.00%59616.1500012000012000.00%000000.4100000000
15Luke JohnsonPenguins (PIT)C6112-1401011174215.88%210617.810003230000150051.02%14700000.3700000001
16Jake LeschyshynPenguins (PIT)C6022-3205916170.00%0528.7800000000000043.75%6400000.7600000000
17Max McCormickPenguins (PIT)LW/RW6112-3004382712.50%0549.080000100000000.00%000000.7300000000
18Lassi ThomsonPenguins (PIT)D602222015612420.00%214023.46011819000018000.00%000000.2800000000
Statistiques d’équipe totales ou en moyenne107264571-204001471452326216211.21%49179016.7469155923200011392151.25%56200010.7900000413
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
1Christopher GibsonPenguins (PIT)62300.8474.7230520241570000.000060000
2Antoine BibeauPenguins (PIT)20010.8335.0959005300000.000006000
Statistiques d’équipe totales ou en moyenne82310.8454.7836420291870000.000066000


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)G225/12/2000Yes205 Lbs6 ft5NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Alexander PetersPenguins (PIT)D267/2/1996Yes220 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Amir MiftakhovPenguins (PIT)G224/26/2000Yes172 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Antoine Bibeau (contrat à 1 volet)Penguins (PIT)G285/1/1994No205 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$1,250,000$1,250,000$0$NoLien / Lien NHL
Buddy RobinsonPenguins (PIT)LW/RW319/30/1991No232 Lbs6 ft6NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Chris Wideman (contrat à 1 volet)Penguins (PIT)D321/7/1990No180 Lbs5 ft10NoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$0$No1,000,000$1,000,000$Lien / Lien NHL
Christopher GibsonPenguins (PIT)G3012/27/1992No217 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Cole SillingerPenguins (PIT)C195/16/2003Yes203 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Edward WittchowPenguins (PIT)D3010/31/1992No189 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Jake LeschyshynPenguins (PIT)C233/10/1999Yes192 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No775,000$775,000$Lien / Lien NHL
Jakub GalvasPenguins (PIT)D236/15/1999Yes161 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jakub Zboril (contrat à 1 volet)Penguins (PIT)D252/21/1997Yes191 Lbs6 ft1NoNoNo3Pro & Farm1,190,000$1,190,000$1,190,000$0$No801,800$801,800$Lien / Lien NHL
James GreenwayPenguins (PIT)D244/27/1998Yes211 Lbs6 ft6NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jayden HalbgewachsPenguins (PIT)C/LW253/22/1997Yes160 Lbs5 ft8NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Jeffrey VielPenguins (PIT)LW251/28/1997Yes205 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Joel KellmanPenguins (PIT)C285/25/1994No192 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Johannes KinnvallPenguins (PIT)D257/28/1997Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Justin KirklandPenguins (PIT)C/LW268/2/1996Yes183 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Kevin Gravel (contrat à 1 volet)Penguins (PIT)D303/6/1992No205 Lbs6 ft4NoNoNo1Pro & Farm1,499,000$1,499,000$1,499,000$0$NoLien / Lien NHL
Kole SherwoodPenguins (PIT)RW251/22/1997Yes212 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Lassi ThomsonPenguins (PIT)D229/24/2000Yes190 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Liam O'BrienPenguins (PIT)C/LW287/29/1994No213 Lbs6 ft1NoNoNo2Pro & Farm974,700$974,700$0$0$No974,700$Lien / Lien NHL
Luke JohnsonPenguins (PIT)C289/19/1994No174 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Martin PospisilPenguins (PIT)C/LW2311/19/1999Yes173 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Max McCormickPenguins (PIT)LW/RW305/1/1992No188 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Michael CarconePenguins (PIT)C/LW265/19/1996Yes170 Lbs5 ft9NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Olivier RodriguePenguins (PIT)G227/6/2000Yes158 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Radim ZohornaPenguins (PIT)C/LW/RW264/29/1996Yes220 Lbs6 ft6NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Ryan MacInnisPenguins (PIT)C/LW262/14/1996Yes201 Lbs6 ft4NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Simon LundmarkPenguins (PIT)D2210/8/2000Yes201 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Tim GettingerPenguins (PIT)LW244/14/1998Yes220 Lbs6 ft6NoNoNo4Pro & Farm925,000$925,000$0$0$No963,800$963,800$963,800$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.68194 Lbs6 ft22.39936,732$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerCole SillingerBuddy Robinson30023
2Justin KirklandJoel KellmanRadim Zohorna30023
3Ryan MacInnisLuke JohnsonKole Sherwood22023
4Ryan MacInnisJake LeschyshynMax McCormick18023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanJakub Zboril34032
2Lassi ThomsonJakub Galvas34041
3Johannes KinnvallAlexander Peters16041
4Johannes KinnvallAlexander Peters16041
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerCole SillingerBuddy Robinson50005
2Justin KirklandLuke JohnsonRadim Zohorna50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanJakub Zboril50005
2Lassi ThomsonJohannes Kinnvall50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerJustin Kirkland50050
2Luke JohnsonJoel Kellman50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilLassi Thomson50050
2Alexander PetersJakub Galvas50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Sillinger60050Jakub ZborilLassi Thomson60050
2Luke Johnson40050Alexander PetersJakub Galvas40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SillingerTim Gettinger60023
2Luke JohnsonRadim Zohorna40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLassi Thomson60032
2Alexander PetersJakub Zboril40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Buddy RobinsonCole SillingerRadim ZohornaChris WidemanJakub Zboril
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Radim ZohornaCole SillingerKole SherwoodJakub ZborilJakub Galvas
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Sillinger, Joel Kellman, Luke JohnsonCole Sillinger, Joel KellmanJoel Kellman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Wideman, Jakub Zboril, Lassi ThomsonChris WidemanJakub Galvas, Alexander Peters
Tirs de pénalité
Cole Sillinger, Joel Kellman, Tim Gettinger, Luke Johnson, Justin Kirkland
Gardien
#1 : Christopher Gibson, #2 : Antoine Bibeau
Lignes d’attaque personnalisées en prolongation
Cole Sillinger, Martin Pospisil, Luke Johnson, Radim Zohorna, Joel Kellman, Buddy Robinson, Buddy Robinson, Jake Leschyshyn, Justin Kirkland, Ryan MacInnis, Kole Sherwood
Lignes de défense personnalisées en prolongation
Chris Wideman, Jakub Zboril, Jakub Galvas, Lassi Thomson, Johannes Kinnvall


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
1Wolf Pack624000002629-3312000001617-1312000001012-240.333264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
Total624000002629-3312000001617-1312000001012-240.333264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
_Since Last GM Reset624000002629-3312000001617-1312000001012-240.333264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
_Vs Conference624000002629-3312000001617-1312000001012-240.333264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
_Vs Division624000002629-3312000001617-1312000001012-240.333264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1264571232187494214700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002629
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001617
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001012
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27622.22%20575.00%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
8873656111050
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
12223452.14%10621449.53%6011452.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
146100139477939


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 - 2023-04-134Penguins3Wolf Pack2AWSommaire du match
3 - 2023-04-1512Penguins4Wolf Pack6ALSommaire du match
5 - 2023-04-1720Wolf Pack2Penguins5BWSommaire du match
7 - 2023-04-1928Wolf Pack8Penguins5BLSommaire du match
9 - 2023-04-2136Penguins3Wolf Pack4ALSommaire du match
11 - 2023-04-2344Wolf Pack7Penguins6BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance4,1622,170
Assistance PCT69.37%72.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2111 - 70.36% 100,642$301,926$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,409,970$ 2,409,970$ 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
1Jakub Zboril1402298120261284082102478.91%186315522.541428421220114100.00%00.7600
2Joel Kellman152397411318351003654438.80%37245916.18911207511283358.05%10.9224
3Cole Sillinger81625011230166924638416.15%23163820.2210172773000510457.63%11.3726
4Buddy Robinson15847641113111338018143710.76%44249715.81613194510136457.56%00.8902
5Radim Zohorna1313868106344016216036510.41%26211216.13718257800014453.57%01.0002

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 Gibson1175838110.8993.5163238337036490210.72711
2Akira Schmid2011500.9162.61101000445260000.0000
3Antoine Bibeau2210430.9043.31107100596150110.69213
4Vasily Demchenko136400.9053.2263320343580110.0000
5Olivier Rodrigue174520.8983.3869200393840200.0000

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
Total Saison régulière1647058016133463857068823827077123132734082323109622325297281956381174181233242191186226135203619712049103567715951282392250512524.75%55213475.72%53461613356.43%3253578856.20%1499277054.12%411529033744114620751061
2022624000002629-3312000001617-1312000001012-24264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939
Total Séries éliminatoires624000002629-3312000001617-1312000001012-24264571001110502328873656187494214727622.22%20575.00%012223452.14%10621449.53%6011452.63%146100139477939

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 Sillinger65510109182321.74%012520.88235700000054.39%01.6000
2Jakub Zboril6279-405131513.33%514023.4621380000000.00%01.2800
3Jakub Galvas60662612980.00%1011819.7800000000000.00%01.0100
4Johannes Kinnvall6235-20161315.38%1010217.0801150000000.00%00.9800
5Jayden Halbgewachs51451011812.50%17314.63123300000045.45%01.3700

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 Gibson62300.8474.7230520241570000.0000
2Antoine Bibeau20010.8335.0959005300000.0000