Pittsburgh Penguins

GP: 32 | W: 23 | L: 7 | OTL: 2 | P: 48
GF: 96 | GA: 71 | PP%: 17.65% | PK%: 86.40%
DG: Maxime Roy | Morale : 71 | Moyenne d'Équipe : 72
Prochain matchs #511 vs Los Angeles Kings
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Nikita KucherovX99.005743748668859590529386599271746679770
2Johnny GaudreauX99.005238868962869591528879569071745979750
3Cam AtkinsonX100.005637887864859377587484768078805379740
4Ryan JohansenX99.007640717887859377868269747673757669740
5Vincent TrocheckX100.008445717568856874868076777371676368720
6Andreas AthanasiouXXX100.005640838078828977707278638269715879710
7Alexander KerfootXX100.005640827465779173767470587271664770680
8Danton HeinenXXX100.006237897075769068717567666567665879680
9Oskar SundqvistX100.007938856685758764756563766369676279680
10Brad RichardsonX100.007138806572817964806365826284772638680
11Marcus SorensenXX100.007343876868739367546369736873685180670
12Josh ArchibaldX100.008742846466748163576265746173684279660
13Ryan SuterX100.007145807481949573308364855684764679760
14Jared SpurgeonX100.007137897463919572307973865878703969750
15Colton ParaykoX100.008142906898899366307667825471696074750
16Braydon CoburnX100.007740796394818762307456744984744676710
17Brenden DillonX100.008948716391839562307357745177693656710
18Vince DunnX100.005846827075839168307669635665676981680
Rayé
1Denis MalginXXX100.006638896965737268736767666863625751650
MOYENNE D'ÉQUIPE99.84704182727582897156757072677371537271
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jonathan Quick97.00929189819190929190929182873963870
2Alex Stalock100.00777573747675777675777680863779750
Rayé
MOYENNE D'ÉQUIPE98.5085838178848385848385848187387181
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters76909483787371CAN524100,000$


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'ÉquipePOS GP 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
1Johnny GaudreauPittsburgh PenguinsLW321321341200260108267712.04%168421.3926822114000000122.22%4500000.9924000430
2Nikita KucherovPittsburgh PenguinsRW32112132121801852102459010.78%168121.2936922114000001237.84%7400000.9414000313
3Jared SpurgeonPittsburgh PenguinsD329162510140684560183415.00%5281025.33628311190000105200.00%000000.6200000422
4Vincent TrocheckPittsburgh PenguinsC29111324131551077190216612.22%552518.1326824970002553050.96%67700000.9100001420
5Cam AtkinsonPittsburgh PenguinsRW32101323136096712727857.87%1065820.591782610900011282146.30%5400000.7001000022
6Ryan JohansenPittsburgh PenguinsC329132283601137379164811.39%266620.8226820114000063056.29%83500000.6600000224
7Colton ParaykoPittsburgh PenguinsD3031720935549284315286.98%4462120.722462398000085110.00%000000.6400100012
8Ryan SuterPittsburgh PenguinsD3221719932058554415244.55%4483326.04246291200001100000.00%000000.4600000001
9Andreas AthanasiouPittsburgh PenguinsC/LW/RW328715160053768194111.76%555217.2631418109000083145.78%8300000.5424000111
10Braydon CoburnPittsburgh PenguinsD323912152756228117427.27%2957417.9400013000093100.00%000000.4200010030
11Alexander KerfootPittsburgh PenguinsC/LW28369-610014303513288.57%235212.600111120000261052.96%25300000.5100000000
12Vince DunnPittsburgh PenguinsD32178-55510202911233.45%2057718.0512315104000040000.00%000000.2800100000
13Danton HeinenPittsburgh PenguinsC/LW/RW32325-8601931408237.50%034710.8700002000001038.46%2600000.2900000100
14Brenden DillonPittsburgh PenguinsD27235-72954819135615.38%3039514.66101522000032000.00%000000.2500001000
15Marcus SorensenPittsburgh PenguinsLW/RW32224-92353025337276.06%12758.6000000000001033.33%1500000.2900001001
16Oskar SundqvistPittsburgh PenguinsC3212321803730316243.23%832810.27000000002861048.93%41900000.1800000001
17Denis MalginPittsburgh PenguinsC/LW/RW210223202119290.00%11155.5100000000030066.67%1500000.3500000000
18Josh ArchibaldPittsburgh PenguinsRW32112-180308164116.25%22116.6100000000159006.25%1600000.1900000001
19Brad RichardsonPittsburgh PenguinsC20202-54010461861411.11%422211.120001120000670048.87%30900000.1800000000
20Jonas SiegenthalerPenguins (Pit)D420218022201100.00%65614.180000000000100.00%000000.7100000100
Stats d'équipe Total ou en Moyenne57596172268822963069373895827166310.02%267949216.512545702381156000790021650.76%282100000.56513213201718
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
1Jonathan QuickPittsburgh Penguins2921620.9222.11168122597600100.72711293442
2Alex StalockPittsburgh Penguins62100.9132.3225900101150000.0000329000
Stats d'équipe Total ou en Moyenne3523720.9212.13194122698750100.727113232442


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex StalockPittsburgh PenguinsG311987-07-28No198 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$750,000$461,230$NoLien
Alexander KerfootPittsburgh PenguinsC/LW241994-08-11No175 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$300,000$184,492$NoLien
Andreas AthanasiouPittsburgh PenguinsC/LW/RW241994-08-06No188 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,537,433$NoLien
Brad RichardsonPittsburgh PenguinsC341985-02-04No190 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm1,000,000$1,000,000$614,973$NoLien
Braydon CoburnPittsburgh PenguinsD341985-02-27No223 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$614,973$NoLien
Brenden DillonPittsburgh PenguinsD281990-11-13No225 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$614,973$NoLien
Cam AtkinsonPittsburgh PenguinsRW301989-06-05No179 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$3,074,866$NoLien
Colton ParaykoPittsburgh PenguinsD261993-05-12No230 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,152,406$NoLien
Danton HeinenPittsburgh PenguinsC/LW/RW231995-07-05No188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$500,000$307,487$NoLien
Denis MalginPittsburgh PenguinsC/LW/RW221997-01-18No177 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$307,487$NoLien
Jared SpurgeonPittsburgh PenguinsD291989-11-29No167 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm5,000,000$5,000,000$3,074,866$NoLien
Johnny GaudreauPittsburgh PenguinsLW251993-08-13No165 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm3,500,000$3,500,000$2,152,406$NoLien
Jonathan QuickPittsburgh PenguinsG331986-01-21No216 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm6,500,000$6,500,000$3,997,326$NoLien
Josh ArchibaldPittsburgh PenguinsRW261992-10-06No176 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$300,000$184,492$NoLien
Marcus SorensenPittsburgh PenguinsLW/RW271992-04-07No175 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$300,000$184,492$NoLien
Nikita KucherovPittsburgh PenguinsRW261993-06-17No178 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$3,074,866$NoLien
Oskar SundqvistPittsburgh PenguinsC251994-03-23No209 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$500,000$307,487$NoLien
Ryan JohansenPittsburgh PenguinsC261992-07-31No218 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$2,152,406$NoLien
Ryan SuterPittsburgh PenguinsD341985-01-21No208 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$3,074,866$NoLien
Vince DunnPittsburgh PenguinsD221996-10-29No203 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$307,487$NoLien
Vincent TrocheckPittsburgh PenguinsC251993-07-11No186 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$2,152,406$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.33194 Lbs6 ft02.192,364,286$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,650,000$31,900,000$14,600,000$4,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauRyan JohansenNikita Kucherov42113
2Andreas AthanasiouVincent TrocheckCam Atkinson30113
3Alexander KerfootOskar SundqvistDanton Heinen20122
4Marcus SorensenBrad RichardsonJosh Archibald8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon45131
2Colton ParaykoBraydon Coburn30131
3Brenden DillonVince Dunn20113
4Ryan SuterJared Spurgeon5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauRyan JohansenNikita Kucherov60014
2Andreas AthanasiouVincent TrocheckCam Atkinson40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60023
2Colton ParaykoVince Dunn40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brad RichardsonCam Atkinson60131
2Vincent TrocheckJosh Archibald40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60140
2Colton ParaykoBraydon Coburn40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brad Richardson60140Ryan SuterJared Spurgeon60140
2Vincent Trocheck40140Colton ParaykoBraydon Coburn40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nikita KucherovJohnny Gaudreau60122
2Cam AtkinsonRyan Johansen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60131
2Colton ParaykoBraydon Coburn40131
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Johnny GaudreauRyan JohansenNikita KucherovRyan SuterJared Spurgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marcus SorensenRyan JohansenCam AtkinsonRyan SuterJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vincent Trocheck, Danton Heinen, Oskar SundqvistVincent Trocheck, Danton HeinenOskar Sundqvist
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vince Dunn, Brenden Dillon, Colton ParaykoVince DunnVince Dunn, Colton Parayko
Tirs de Pénalité
Nikita Kucherov, Johnny Gaudreau, Andreas Athanasiou, Cam Atkinson, Ryan Johansen
Gardien
#1 : Jonathan Quick, #2 : Alex Stalock


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Ducks11000000312110000003120000000000021.000369000210234910033101033200.00%40100.00%0589113152.08%551108051.02%24349549.09%2114257126
2Boston Bruins11000000642000000000001100000064221.000610160033004017101302982238112.50%10100.00%0589113152.08%551108051.02%24349549.09%2719197127
3Buffalo Sabres10001000101100010001010000000000021.0001120100013398142276224500.00%10100.00%0589113152.08%551108051.02%24349549.09%2821227115
4Calgary Flames11000000312110000003120000000000021.0003690010202611312028101212300.00%60100.00%0589113152.08%551108051.02%24349549.09%2013267136
5Chicago Blackhawks11000000422110000004220000000000021.0004812000220276912021613264250.00%3166.67%0589113152.08%551108051.02%24349549.09%2315246126
6Colorado Avalanche1010000014-31010000014-30000000000000.000123001000291937031106184125.00%30100.00%0589113152.08%551108051.02%24349549.09%2417227125
7Columbus Blue Jackets31000011862210000014311000001043150.83381321003312108393529119523307110330.00%14192.86%0589113152.08%551108051.02%24349549.09%775372223920
8Dallas Stars2020000028-61010000013-21010000015-400.00023500110054171423042141436600.00%7357.14%0589113152.08%551108051.02%24349549.09%453148142512
9Detroit Red Wings11000000624000000000001100000062421.0006121800222026174503188203133.33%3166.67%0589113152.08%551108051.02%24349549.09%2316256115
10Edmonton Oilers11000000422110000004220000000000021.00048120022003414128025108157228.57%40100.00%0589113152.08%551108051.02%24349549.09%2820196126
11Florida Panthers1010000024-2000000000001010000024-200.0002350002003714716036612168112.50%5340.00%0589113152.08%551108051.02%24349549.09%2719197126
12Minnesota Wild11000000321000000000001100000032121.000358003000321661001578197114.29%30100.00%0589113152.08%551108051.02%24349549.09%2417228126
13Montreal Canadiens11000000321110000003210000000000021.000358001110386102201686196233.33%30100.00%0589113152.08%551108051.02%24349549.09%2617206137
14New Jersey Devils21000001761110000003121000000145-130.75071320002231471216176561821381000.00%8187.50%0589113152.08%551108051.02%24349549.09%523646152613
15New York Islanders3120000068-21010000023-12110000045-120.33361218002220833130220822333618112.50%14192.86%0589113152.08%551108051.02%24349549.09%704770223818
16New York Rangers11000000514000000000001100000051421.0005813002120361391402768217114.29%30100.00%0589113152.08%551108051.02%24349549.09%2720196126
17Philadelphia Flyers11000000312110000003120000000000021.00035800030031101470171014254125.00%60100.00%0589113152.08%551108051.02%24349549.09%2417227126
18Phoenix Coyotes11000000422110000004220000000000021.000481200013035121112035136196233.33%3166.67%0589113152.08%551108051.02%24349549.09%2215237136
19St. Louis Blues21000010624110000003031000001032141.000691501212249131718458181850700.00%9188.89%0589113152.08%551108051.02%24349549.09%513647162512
20Tampa Bay Lightning11000000431000000000001100000043121.0004812001120338916028118206116.67%4175.00%0589113152.08%551108051.02%24349549.09%2317247115
21Toronto Maple Leafs1010000034-11010000034-10000000000000.0003690012003111812033827354250.00%5180.00%0589113152.08%551108051.02%24349549.09%2517226116
Total3219702022967125191240200151341713730002145378480.75096175271023434247952336284321248752623006891362417.65%1251786.40%0589113152.08%551108051.02%24349549.09%793553742235407204
23Vancouver Canucks11000000211110000002110000000000021.000246002000216510030101617300.00%8187.50%0589113152.08%551108051.02%24349549.09%2215257125
24Vegas Golden Knights10001000431100010004310000000000021.0004812002101361810712764285120.00%20100.00%0589113152.08%551108051.02%24349549.09%2720216126
25Winnipeg Jets22000000624110000003121100000031241.0006121800321043231550531314433133.33%6183.33%0589113152.08%551108051.02%24349549.09%453048152613
_Since Last GM Reset3219702022967125191240200151341713730002145378480.75096175271023434247952336284321248752623006891362417.65%1251786.40%0589113152.08%551108051.02%24349549.09%793553742235407204
_Vs Conference17940101254411384201001191459520001135278240.706549615001172213454318716018719477135171373791417.72%67986.57%0589113152.08%551108051.02%24349549.09%434304387123215110
_Vs Division105200012292275310000112845210001117143140.700295180009118330510510489172778010621639615.38%45393.33%0589113152.08%551108051.02%24349549.09%2521742327313065

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3248W59617527195287526230068902
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3219720229671
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1912420015134
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
137300214537
Derniers 10 Matchs
WLOTWOTL SOWSOL
800020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1362417.65%1251786.40%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
336284321243434247
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
589113152.08%551108051.02%24349549.09%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
793553742235407204


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-09-037Buffalo Sabres0Pittsburgh Penguins1WXSommaire du Match
4 - 2019-09-0522Columbus Blue Jackets2Pittsburgh Penguins1LXXSommaire du Match
7 - 2019-09-0838Winnipeg Jets1Pittsburgh Penguins3WSommaire du Match
9 - 2019-09-1050Anaheim Ducks1Pittsburgh Penguins3WSommaire du Match
11 - 2019-09-1271Pittsburgh Penguins3Minnesota Wild2WSommaire du Match
12 - 2019-09-1375Pittsburgh Penguins3Winnipeg Jets1WSommaire du Match
15 - 2019-09-1692Colorado Avalanche4Pittsburgh Penguins1LSommaire du Match
17 - 2019-09-18108Dallas Stars3Pittsburgh Penguins1LSommaire du Match
18 - 2019-09-19119Vegas Golden Knights3Pittsburgh Penguins4WXSommaire du Match
21 - 2019-09-22135Pittsburgh Penguins2Florida Panthers4LSommaire du Match
22 - 2019-09-23144Pittsburgh Penguins4Tampa Bay Lightning3WSommaire du Match
25 - 2019-09-26166Pittsburgh Penguins1Dallas Stars5LSommaire du Match
28 - 2019-09-29182Philadelphia Flyers1Pittsburgh Penguins3WSommaire du Match
32 - 2019-10-03204Edmonton Oilers2Pittsburgh Penguins4WSommaire du Match
34 - 2019-10-05220Pittsburgh Penguins6Boston Bruins4WSommaire du Match
37 - 2019-10-08239Pittsburgh Penguins2New York Islanders1WSommaire du Match
39 - 2019-10-10257Chicago Blackhawks2Pittsburgh Penguins4WSommaire du Match
42 - 2019-10-13274Pittsburgh Penguins5New York Rangers1WSommaire du Match
45 - 2019-10-16295Pittsburgh Penguins4New Jersey Devils5LXXSommaire du Match
46 - 2019-10-17308Toronto Maple Leafs4Pittsburgh Penguins3LSommaire du Match
49 - 2019-10-20321New York Islanders3Pittsburgh Penguins2LSommaire du Match
51 - 2019-10-22335Pittsburgh Penguins2New York Islanders4LSommaire du Match
52 - 2019-10-23346New Jersey Devils1Pittsburgh Penguins3WSommaire du Match
55 - 2019-10-26368Calgary Flames1Pittsburgh Penguins3WSommaire du Match
57 - 2019-10-28382Vancouver Canucks1Pittsburgh Penguins2WSommaire du Match
59 - 2019-10-30400Pittsburgh Penguins4Columbus Blue Jackets3WXXSommaire du Match
60 - 2019-10-31412Pittsburgh Penguins3St. Louis Blues2WXXSommaire du Match
64 - 2019-11-04435St. Louis Blues0Pittsburgh Penguins3WSommaire du Match
66 - 2019-11-06449Phoenix Coyotes2Pittsburgh Penguins4WSommaire du Match
67 - 2019-11-07456Pittsburgh Penguins6Detroit Red Wings2WSommaire du Match
70 - 2019-11-10474Montreal Canadiens2Pittsburgh Penguins3WSommaire du Match
72 - 2019-11-12490Columbus Blue Jackets1Pittsburgh Penguins3WSommaire du Match
74 - 2019-11-14511Los Angeles Kings-Pittsburgh Penguins-
77 - 2019-11-17531Pittsburgh Penguins-Calgary Flames-
80 - 2019-11-20551Pittsburgh Penguins-Edmonton Oilers-
81 - 2019-11-21563Pittsburgh Penguins-Vancouver Canucks-
87 - 2019-11-27587Pittsburgh Penguins-Nashville Predators-
88 - 2019-11-28597Nashville Predators-Pittsburgh Penguins-
90 - 2019-11-30612Ottawa Senators-Pittsburgh Penguins-
93 - 2019-12-03631San Jose Sharks-Pittsburgh Penguins-
95 - 2019-12-05647Pittsburgh Penguins-Montreal Canadiens-
96 - 2019-12-06654Florida Panthers-Pittsburgh Penguins-
98 - 2019-12-08673Pittsburgh Penguins-Vegas Golden Knights-
101 - 2019-12-11691Pittsburgh Penguins-Colorado Avalanche-
103 - 2019-12-13706Pittsburgh Penguins-Phoenix Coyotes-
105 - 2019-12-15718Minnesota Wild-Pittsburgh Penguins-
107 - 2019-12-17727Pittsburgh Penguins-Boston Bruins-
108 - 2019-12-18740Pittsburgh Penguins-Detroit Red Wings-
110 - 2019-12-20755Boston Bruins-Pittsburgh Penguins-
112 - 2019-12-22763Pittsburgh Penguins-Philadelphia Flyers-
122 - 2020-01-01786Philadelphia Flyers-Pittsburgh Penguins-
124 - 2020-01-03806Pittsburgh Penguins-Washington Capitals-
128 - 2020-01-07829Pittsburgh Penguins-Tampa Bay Lightning-
130 - 2020-01-09848Pittsburgh Penguins-Florida Panthers-
133 - 2020-01-12870Tampa Bay Lightning-Pittsburgh Penguins-
136 - 2020-01-15892Montreal Canadiens-Pittsburgh Penguins-
138 - 2020-01-17906Detroit Red Wings-Pittsburgh Penguins-
140 - 2020-01-19921Toronto Maple Leafs-Pittsburgh Penguins-
142 - 2020-01-21933Pittsburgh Penguins-Toronto Maple Leafs-
144 - 2020-01-23950Buffalo Sabres-Pittsburgh Penguins-
145 - 2020-01-24959Pittsburgh Penguins-Washington Capitals-
148 - 2020-01-27983Pittsburgh Penguins-Los Angeles Kings-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29998Pittsburgh Penguins-Anaheim Ducks-
151 - 2020-01-301010Pittsburgh Penguins-San Jose Sharks-
154 - 2020-02-021022Ottawa Senators-Pittsburgh Penguins-
156 - 2020-02-041033Pittsburgh Penguins-Buffalo Sabres-
158 - 2020-02-061050Washington Capitals-Pittsburgh Penguins-
159 - 2020-02-071059Carolina Hurricanes-Pittsburgh Penguins-
161 - 2020-02-091072Pittsburgh Penguins-New Jersey Devils-
163 - 2020-02-111088Pittsburgh Penguins-Columbus Blue Jackets-
165 - 2020-02-131104Pittsburgh Penguins-Carolina Hurricanes-
166 - 2020-02-141115New York Islanders-Pittsburgh Penguins-
169 - 2020-02-171133Pittsburgh Penguins-New York Rangers-
171 - 2020-02-191146New York Rangers-Pittsburgh Penguins-
173 - 2020-02-211164Washington Capitals-Pittsburgh Penguins-
175 - 2020-02-231180Carolina Hurricanes-Pittsburgh Penguins-
176 - 2020-02-241186Pittsburgh Penguins-Chicago Blackhawks-
179 - 2020-02-271205Pittsburgh Penguins-Carolina Hurricanes-
180 - 2020-02-281216Pittsburgh Penguins-Philadelphia Flyers-
182 - 2020-03-011230New Jersey Devils-Pittsburgh Penguins-
184 - 2020-03-031247New York Rangers-Pittsburgh Penguins-
186 - 2020-03-051263Pittsburgh Penguins-Ottawa Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance109,01690,15336,03873,42618,179
Attendance PCT95.63%94.90%94.84%96.61%95.68%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
22 17201 - 95.56% 608,683$11,564,980$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
18,775,929$ 49,650,000$ 19,025,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,650,000$ 18,735,835$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
13,391,029$ 115 266,043$ 30,594,945$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
31,492,377$ 49,650,000$ 128,005,731$ 109,904,383$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:25PO:59OV:75
Andreas AthanasiouAGE:24PO:58OV:71
Danton HeinenAGE:23PO:58OV:68
Alexander KerfootAGE:24PO:47OV:68
Marcus SorensenAGE:27PO:51OV:67
Denis MalginAGE:22PO:57OV:65
Warren FoegeleAGE:23PO:62OV:64
Kenny AgostinoAGE:27PO:53OV:63
Brendan LemieuxAGE:23PO:78OV:62
William CarrierAGE:24PO:67OV:62
Blake PietilaAGE:26PO:63OV:62
Robby FabbriAGE:23PO:81OV:61
Aleksi SaarelaAGE:22PO:63OV:61
*Pierre EngvallAGE:23PO:62OV:61
Valentin ZykovAGE:24PO:74OV:60
Andrew MangiapaneAGE:23PO:56OV:60
*Adam MascherinAGE:21PO:64OV:59
*Kristian VesalainenAGE:20PO:83OV:58
*Shane GersichAGE:22PO:56OV:58
Jonny BrodzinskiAGE:26PO:52OV:57
Paul BittnerAGE:22PO:72OV:55
Ryan JohansenAGE:26PO:76OV:74
Vincent TrocheckAGE:25PO:63OV:72
Andreas AthanasiouAGE:24PO:58OV:71
Oskar SundqvistAGE:25PO:62OV:68
Danton HeinenAGE:23PO:58OV:68
Alexander KerfootAGE:24PO:47OV:68
Brad RichardsonAGE:34PO:26OV:68
Denis MalginAGE:22PO:57OV:65
Blake PietilaAGE:26PO:63OV:62
Robby FabbriAGE:23PO:81OV:61
Karson KuhlmanAGE:23PO:52OV:61
Matthew PecaAGE:26PO:47OV:61
*Dylan GambrellAGE:22PO:67OV:59
*Rhett GardnerAGE:23PO:62OV:59
Adam MusilAGE:22PO:63OV:58
Rourke ChartierAGE:23PO:54OV:58
Nic PetanAGE:24PO:72OV:54
Nikita KucherovAGE:26PO:66OV:77
Cam AtkinsonAGE:30PO:53OV:74
Andreas AthanasiouAGE:24PO:58OV:71
Danton HeinenAGE:23PO:58OV:68
Marcus SorensenAGE:27PO:51OV:67
Josh ArchibaldAGE:26PO:42OV:66
Denis MalginAGE:22PO:57OV:65
Warren FoegeleAGE:23PO:62OV:64
Denis GurianovAGE:22PO:85OV:63
William CarrierAGE:24PO:67OV:62
*Pierre EngvallAGE:23PO:62OV:61
Valentin ZykovAGE:24PO:74OV:60
Anthony AngelloAGE:23PO:62OV:60
Nicolas Aube-KubelAGE:23PO:72OV:58
*Cliff PuAGE:21PO:72OV:57
*Lukas JasekAGE:21PO:63OV:57

Défense #1Défense #2Gardien
Ryan SuterAGE:34PO:46OV:76
Colton ParaykoAGE:26PO:60OV:75
Jared SpurgeonAGE:29PO:39OV:75
Braydon CoburnAGE:34PO:46OV:71
Brenden DillonAGE:28PO:36OV:71
Vince DunnAGE:22PO:69OV:68
Ian McCoshenAGE:23PO:76OV:64
Jonas SiegenthalerAGE:22PO:70OV:64
Tommy CrossAGE:29PO:62OV:64
Connor CarrickAGE:25PO:55OV:63
Kurtis MacDermidAGE:25PO:51OV:63
Dillon SimpsonAGE:26PO:59OV:62
Brendan GuhleAGE:21PO:72OV:61
Connor HobbsAGE:22PO:63OV:61
*Lucas CarlssonAGE:21PO:63OV:61
Jack DoughertyAGE:23PO:62OV:61
Darren RaddyshAGE:23PO:62OV:61
Jordan SubbanAGE:24PO:62OV:60
Ben GleasonAGE:21PO:54OV:60
*Riley StillmanAGE:21PO:60OV:59
Jake WalmanAGE:23PO:56OV:59
Sergei BoikovAGE:23PO:68OV:58
Jeff TaylorAGE:25PO:60OV:56
Jonathan QuickAGE:33PO:39OV:87
Alex StalockAGE:31PO:37OV:75
Alex NedeljkovicAGE:23PO:78OV:73
*Merrick MadsenAGE:23PO:52OV:73
*Mikhail BerdinAGE:21PO:53OV:72
*Dylan WellsAGE:21PO:53OV:71
Michael McNivenAGE:21PO:66OV:70
*Nick SchneiderAGE:21PO:53OV:70
Brandon HalversonAGE:23PO:53OV:69
Zachary FucaleAGE:24PO:52OV:68
Ken ApplebyAGE:24PO:52OV:68
*Colton PointAGE:21PO:73OV:65

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam RuzickaPittsburgh Penguins1383
Andrew PeekePittsburgh Penguins1283
Anthony AngeloPittsburgh Penguins10166
Antoine VermettePittsburgh Penguins
Blade JenkinsPittsburgh Penguins14139
Calen AddisonPittsburgh Penguins1438
Cole GuttmanPittsburgh Penguins13179
Conner HurleyPittsburgh Penguins981
Connor DewarPittsburgh Penguins1452
Danila ZhuravlyovPittsburgh Penguins14144
David CottonPittsburgh Penguins11146
David TendeckPittsburgh Penguins14184
Dmitri SamorukovPittsburgh Penguins1382
Dmitri SemykinPittsburgh Penguins14151
Eetu PakkilaPittsburgh Penguins14170
Eetu TuulolaPittsburgh Penguins12158
Elvis MerzilikinsPittsburgh Penguins
Gilles SennPittsburgh Penguins13170
Grant MismashPittsburgh Penguins1375
Jake PivonkaPittsburgh Penguins14143
Jamie McBainPittsburgh Penguins
Joel FarabeePittsburgh Penguins1419
John LeonardPittsburgh Penguins14132
John PiccinichPittsburgh Penguins10138
Joshua EssPittsburgh Penguins13163
Kasper KotkansaloPittsburgh Penguins13139
Kirill MaksimovPittsburgh Penguins1379
Linus LindstromPittsburgh Penguins12164
Luc SnuggerudPittsburgh Penguins
Mac HollowellPittsburgh Penguins1465
Martin FehervaryPittsburgh Penguins1448
Mattias SamuelssonPittsburgh Penguins1458
Michael BrodzinskiPittsburgh Penguins
Michael KesselringPittsburgh Penguins14168
Nicolas BeaudinPittsburgh Penguins1432
Nikita PavlychevPittsburgh Penguins11180
Patrick HarperPittsburgh Penguins1269
Pavel JenysPittsburgh Penguins
Pavel ShenPittsburgh Penguins13181
Pavel ShenPittsburgh Penguins1496
Peter DiliberatorePittsburgh Penguins14131
Philip KempPittsburgh Penguins13143
Reilly WalshPittsburgh Penguins1376
Riley TuftePittsburgh Penguins1259
Ryan MacInnisPittsburgh Penguins
Sampo RantaPittsburgh Penguins1472
Spencer StastneyPittsburgh Penguins14140
Stanislav GalievPittsburgh Penguins
Steven SpinnerPittsburgh Penguins10165
Thomas NovakPittsburgh Penguins1171
Tim SoderlundPittsburgh Penguins1391
Tyler NannePittsburgh Penguins10168
Tyler WallPittsburgh Penguins12108
Vladislav GavrikovPittsburgh Penguins11165
Wouter PeetersPittsburgh Penguins12106
Yegor RykovPittsburgh Penguins1288

Choix au Repêchage

Année R1R2R3R4R5R6
15Pit Pit PHX Was Phi
16Chi Bos Pit Chi Min Phi
17Pit Pit Pit
18Pit Pit Pit Pit Pit
19Pit Pit Pit Pit Pit Pit



[2019-11-24 13:32:49] - TRADE : From Pittsburgh Penguins to Calgary Flames : Ben Hutton (68).
[2019-11-24 13:32:49] - TRADE : From Calgary Flames to Pittsburgh Penguins : Michael McNiven (70), Y:16-RND:3-Chi.
[2019-10-15 12:22:30] - TRADE : From Pittsburgh Penguins to Ottawa Senators : Lukas Radil (64), Michael Prapavessis (58), Y:17-RND:3-Pit.
[2019-10-15 12:22:30] - TRADE : From Ottawa Senators to Pittsburgh Penguins : Brad Richardson (68), Brenden Dillon (71).
[2019-08-19 20:52:35] - Lukas Radil was added to Pittsburgh Penguins.
[2019-08-08 17:18:44] - TRADE : From Pittsburgh Penguins to Phoenix Coyotes : Y:17-RND:4-Pit.
[2019-08-08 10:52:23] - Ben Gleason was added to Pittsburgh Penguins.
[2019-08-07 07:49:28] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Pavel Buchnevich (68).
[2019-08-07 07:49:28] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Andreas Athanasiou (71).
[2019-08-05 19:23:26] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:15-RND:3-Ana.
[2019-08-05 19:22:31] - Karson Kuhlman was added to Pittsburgh Penguins.
[2019-08-02 12:40:59] - Penguins hired Sheldon Keefe for 1 200 000 $ for 4 year(s).
[2019-07-26 09:02:26] - Pittsburgh Penguins drafts David Tendeck as the #184 overall pick in the Entry Draft of year 14.
[2019-07-26 09:00:27] - Pittsburgh Penguins drafts Eetu Pakkila as the #170 overall pick in the Entry Draft of year 14.
[2019-07-26 09:00:12] - Pittsburgh Penguins drafts Michael Kesselring as the #168 overall pick in the Entry Draft of year 14.
[2019-07-24 16:29:01] - TRADE : From Pittsburgh Penguins to Vancouver Canucks : Y:15-RND:6-NYR, Y:15-RND:6-Dal.
[2019-07-24 16:29:01] - TRADE : From Vancouver Canucks to Pittsburgh Penguins : Y:14-RND:6-Chi.
[2019-07-16 09:09:56] - Pittsburgh Penguins drafts Dmitri Semykin as the #151 overall pick in the Entry Draft of year 14.
[2019-07-16 09:08:51] - Pittsburgh Penguins drafts Danila Zhuravlyov as the #144 overall pick in the Entry Draft of year 14.
[2019-07-16 09:08:43] - Pittsburgh Penguins drafts Jake Pivonka as the #143 overall pick in the Entry Draft of year 14.
[2019-07-16 09:07:43] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:15-RND:3-Col, Y:16-RND:3-Pit.
[2019-07-16 09:07:43] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Braydon Coburn (70), Y:14-RND:5-New, Y:14-RND:5-Buf, Y:14-RND:6-Wpg.
[2019-07-16 09:05:35] - TRADE : From Anaheim Ducks to Pittsburgh Penguins : Y:14-RND:5-Ana.
[2019-07-16 09:05:35] - TRADE : From Pittsburgh Penguins to Anaheim Ducks : Y:15-RND:5-Pit, Y:15-RND:6-Nas.
[2019-07-10 14:40:01] - Pittsburgh Penguins drafts Spencer Stastney as the #140 overall pick in the Entry Draft of year 14.
[2019-07-10 14:39:50] - Pittsburgh Penguins drafts Blade Jenkins as the #139 overall pick in the Entry Draft of year 14.
[2019-07-08 07:52:31] - Pittsburgh Penguins drafts John Leonard as the #132 overall pick in the Entry Draft of year 14.
[2019-07-08 07:52:25] - Pittsburgh Penguins drafts Peter Diliberatore as the #131 overall pick in the Entry Draft of year 14.
[2019-07-02 10:43:14] - TRADE : From Pittsburgh Penguins to Florida Panthers : Artem Anisimov (69).
[2019-07-02 10:43:14] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:15-RND:2-Was.
[2019-06-29 11:00:58] - TRADE : From Nashville Predators to Pittsburgh Penguins : Dylan Gambrell (60).



[2019-12-10 05:08:10] Last 7 Days Pro Star : 1 - Jamie Benn of New York Rangers (6-5-11) / 2 - Vincent Trocheck of Pittsburgh Penguins (3-1-4) / 3 - Dylan Larkin of New York Rangers (3-4-7)
[2019-12-10 05:07:07] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-07 10:30:06] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-04 09:52:06] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-30 05:13:52] Brendan Guhle from Penguins has scored a Hat Trick!
[2019-11-29 07:57:25] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-27 12:49:00] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-25 13:38:24] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-24 13:32:49] TRADE : From Pittsburgh Penguins to Calgary Flames : Ben Hutton (68).
[2019-11-24 13:32:49] TRADE : From Calgary Flames to Pittsburgh Penguins : Michael McNiven (70), Y:16-RND:3-Chi.
[2019-11-22 15:22:57] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-21 13:29:36] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-19 11:40:43] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-16 09:41:43] Denis Gurianov from Penguins has scored a Hat Trick!
[2019-11-16 09:37:15] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-15 09:07:28] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-14 08:19:27] Brad Richardson from Pittsburgh Penguins is back from Left Hand Injury.
[2019-11-12 07:58:51] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-09 09:54:46] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-07 05:01:29] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-04 05:07:05] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-11-02 09:39:15] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1432197020229671251912402001513417137300021453784896175271023434247952336284321248752623006891362417.65%1251786.40%0589113152.08%551108051.02%24349549.09%793553742235407204
Total Saison Régulière32197020229671251912402001513417137300021453784896175271023434247952336284321248752623006891362417.65%1251786.40%0589113152.08%551108051.02%24349549.09%793553742235407204