Pittsburgh Penguins

GP: 82 | W: 48 | L: 31 | OTL: 3 | P: 99
GF: 239 | GA: 188 | PP%: 19.34% | PK%: 84.24%
DG: Maxime Roy | Morale : 77 | Moyenne d'Équipe : 72
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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 KucherovX100.005743748668859590529386599271746675770
2Johnny GaudreauX100.005238868962869591528879569071745980750
3Cam AtkinsonX100.005637887864859377587484768078805381740
4Ryan JohansenX100.007640717887859377868269747673757679740
5David KrejciXX100.005637887672839474808273627182774053720
6Vincent TrocheckX100.008445717568856874868076777371676367720
7Alexander KerfootXX100.005640827465779173767470587271664780680
8Danton HeinenXXX100.006237897075769068717567666567665872680
9Troy BrouwerXX100.008557746486738863656462766184752651680
10Josh ArchibaldX100.008742846466748163576265746173684281660
11Denis MalginXXX100.006638896965737268736767666863625749650
12Warren FoegeleXX100.008237876480739062566163656465666261650
13Ryan SuterX100.007145807481949573308364855684764681770
14Jared SpurgeonX100.007137897463919572307973865878703981750
15Colton ParaykoX100.008142906898899366307667825471696081750
16Brenden DillonX100.008948716391839562307357745177693678720
17Braydon CoburnX100.007740796394818762307456744984744681710
18Vince DunnX100.005846827075839168307669635665676981680
Rayé
MOYENNE D'ÉQUIPE100.00704282727682897155766971677471537371
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 Quick100.00929189819190929190929182873970870
2Mike McKenna100.00798280777877797877797886902881780
Rayé
MOYENNE D'ÉQUIPE100.0086878579858486858486858489347683
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet84927887817667CAN5441,000,000$


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
1Nikita KucherovPittsburgh PenguinsRW8233498223260591302918123611.34%4170720.826162256280000004340.63%16000010.9614000827
2Johnny GaudreauPittsburgh PenguinsLW77353873208091502467418314.23%4156120.28891757259000002328.70%11500000.9324000851
3Cam AtkinsonPittsburgh PenguinsRW822736632412019135305882218.85%23167420.428172568264000113256243.85%13000020.7501000435
4Ryan JohansenPittsburgh PenguinsC822339621510202702042075414211.11%10171620.9361218442800000364153.66%214700000.7200000458
5Vincent TrocheckPittsburgh PenguinsC792635612283152701942076416212.56%8142418.04916255624800041714052.30%180700000.8600012971
6Ryan SuterPittsburgh PenguinsD82950591284015712510750728.41%119211625.8141620562960001243500.00%000000.5600000113
7David KrejciPittsburgh PenguinsC/LW84183755-2260431681714011410.53%8176721.05412164128200001944252.04%159700000.6216000342
8Jared SpurgeonPittsburgh PenguinsD821438521338012813515446889.09%131204224.9010919732950000262210.00%000000.5100000453
9Colton ParaykoPittsburgh PenguinsD80938472866101477311334747.96%106174721.847916672420000218110.00%000000.5400101025
10Braydon CoburnPittsburgh PenguinsD8242125236151616729111213.79%70140117.10000280000226100.00%000000.3600010030
11Vince DunnPittsburgh PenguinsD8212021-12101024536024401.67%57139316.99191031247000098000.00%000000.3000101001
12Alexander KerfootPittsburgh PenguinsC/LW7871219-1112030789227727.61%395412.240111240000642150.30%67200000.4000000000
13Troy BrouwerPittsburgh PenguinsLW/RW8110919104610904773165713.70%127679.48000050001813047.50%4000000.4900002201
14Brenden DillonPittsburgh PenguinsD773141739715166643210189.38%52111114.44101525000036010.00%000000.3100003010
15Danton HeinenPittsburgh PenguinsC/LW/RW7610616-580356593205910.75%585611.28123226000003040.00%6000000.3700000120
16Denis MalginPittsburgh PenguinsC/LW/RW61347240637407367.50%23595.89000110000111044.89%17600000.3900000100
17Josh ArchibaldPittsburgh PenguinsRW82437226070375315307.55%116618.070000000021561030.19%5300000.2100000012
18Warren FoegelePittsburgh PenguinsLW/RW36224324068201252016.67%337610.4500000000001038.89%7200000.2100000000
19Jonas SiegenthalerPenguins (Pit)D420218022201100.00%65614.180000000000100.00%000000.7100000100
Stats d'équipe Total ou en Moyenne138924045169117174165175417842287666163710.49%6342369717.06651281935602789000192130451551.03%702900030.58415229464139
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 Penguins68382630.9152.2239454614617210110.727116715973
2Mike McKennaPittsburgh Penguins107200.9232.1555901202590000.0000919001
Stats d'équipe Total ou en Moyenne78452830.9162.2145054716619800110.727117634974


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander KerfootPittsburgh PenguinsC/LW241994-08-11No175 Lbs5 ft10NoNoNo3Pro & Farm300,000$300,000$0$No300,000$300,000$Lien
Braydon CoburnPittsburgh PenguinsD341985-02-27No223 Lbs6 ft5NoNoNo3Pro & Farm1,000,000$1,000,000$0$No1,000,000$1,000,000$Lien
Brenden DillonPittsburgh PenguinsD281990-11-13No225 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$1,000,000$0$No1,000,000$Lien
Cam AtkinsonPittsburgh PenguinsRW301989-06-05No179 Lbs5 ft8NoNoNo1Pro & Farm5,000,000$5,000,000$0$NoLien
Colton ParaykoPittsburgh PenguinsD261993-05-12No230 Lbs6 ft6NoNoNo2Pro & Farm3,500,000$3,500,000$0$No3,500,000$Lien
Danton HeinenPittsburgh PenguinsC/LW/RW231995-07-05No188 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
David KrejciPittsburgh PenguinsC/LW331986-04-28No188 Lbs6 ft0NoNoNo1Pro & Farm3,500,000$3,500,000$0$NoLien
Denis MalginPittsburgh PenguinsC/LW/RW221997-01-18No177 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
Jared SpurgeonPittsburgh PenguinsD291989-11-29No167 Lbs5 ft9NoNoNo1Pro & Farm5,000,000$5,000,000$0$NoLien
Johnny GaudreauPittsburgh PenguinsLW251993-08-13No165 Lbs5 ft9NoNoNo4Pro & Farm3,500,000$3,500,000$0$No3,500,000$3,500,000$3,500,000$Lien
Jonathan QuickPittsburgh PenguinsG331986-01-21No216 Lbs6 ft1NoNoNo1Pro & Farm6,500,000$6,500,000$0$NoLien
Josh ArchibaldPittsburgh PenguinsRW261992-10-06No176 Lbs5 ft10NoNoNo3Pro & Farm300,000$300,000$0$No300,000$300,000$Lien
Mike McKennaPittsburgh PenguinsG361983-04-11No183 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$NoLien
Nikita KucherovPittsburgh PenguinsRW261993-06-17No178 Lbs5 ft11NoNoNo2Pro & Farm5,000,000$5,000,000$0$No5,000,000$Lien
Ryan JohansenPittsburgh PenguinsC261992-07-31No218 Lbs6 ft3NoNoNo3Pro & Farm3,500,000$3,500,000$0$No3,500,000$3,500,000$Lien
Ryan SuterPittsburgh PenguinsD341985-01-21No208 Lbs6 ft2NoNoNo3Pro & Farm5,000,000$5,000,000$0$No5,000,000$5,000,000$Lien
Troy BrouwerPittsburgh PenguinsLW/RW331985-08-17No213 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$NoLien
Vince DunnPittsburgh PenguinsD221996-10-29No203 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
Vincent TrocheckPittsburgh PenguinsC251993-07-11No186 Lbs5 ft10NoNoNo2Pro & Farm3,500,000$3,500,000$0$No3,500,000$Lien
Warren FoegelePittsburgh PenguinsLW/RW231996-04-01No198 Lbs6 ft2NoNoNo3Pro & Farm300,000$300,000$0$No300,000$300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2027.90195 Lbs6 ft02.102,495,000$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,900,000$28,400,000$13,900,000$3,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauRyan JohansenNikita Kucherov43113
2David KrejciVincent TrocheckCam Atkinson34113
3Danton HeinenAlexander KerfootWarren Foegele18122
4Troy BrouwerDenis MalginJosh Archibald5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterColton Parayko50131
2Jared SpurgeonBrenden Dillon30131
3Braydon CoburnVince Dunn15131
4Ryan SuterJared Spurgeon5131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Johnny GaudreauRyan JohansenNikita Kucherov60014
2David KrejciVincent TrocheckCam Atkinson40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SuterJared Spurgeon60023
2Colton ParaykoVince Dunn40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Vincent TrocheckCam Atkinson60131
2Ryan JohansenJosh 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
1Vincent Trocheck60140Ryan SuterJared Spurgeon60140
2Ryan Johansen40140Colton ParaykoBraydon Coburn40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan JohansenNikita Kucherov60122
2Vincent TrocheckCam Atkinson40122
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
Warren FoegeleRyan JohansenCam AtkinsonRyan SuterJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vincent Trocheck, Johnny Gaudreau, Cam AtkinsonVincent Trocheck, David KrejciJosh Archibald
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vince Dunn, Brenden Dillon, Colton ParaykoVince DunnVince Dunn, Colton Parayko
Tirs de Pénalité
Nikita Kucherov, Cam Atkinson, Johnny Gaudreau, Vincent Trocheck, Ryan Johansen
Gardien
#1 : Jonathan Quick, #2 : Mike McKenna


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 Ducks21100000660110000003121010000035-220.5006121810132047121718067201656200.00%60100.00%01407279150.41%1397271651.44%633127649.61%412853142411
2Boston Bruins330000001578110000006242200000095461.000152540006720983831290661587416425.00%30100.00%01407279150.41%1397271651.44%633127649.61%765463224021
3Buffalo Sabres3020100058-3201010004401010000014-320.33358130122017525232528828246610110.00%12191.67%01407279150.41%1397271651.44%633127649.61%725074213617
4Calgary Flames22000000725110000003121100000041341.000713200031306013281905916183110110.00%90100.00%01407279150.41%1397271651.44%633127649.61%473147142512
5Carolina Hurricanes431000001266211000003302200000093660.750122234005340135583740010428309521628.57%15380.00%01407279150.41%1397271651.44%633127649.61%1016988295025
6Chicago Blackhawks21100000761110000004221010000034-120.50071421002230531914200471123399333.33%8275.00%01407279150.41%1397271651.44%633127649.61%453148142612
7Colorado Avalanche2110000035-21010000014-31100000021120.5003580020106433161505916103711218.18%5180.00%01407279150.41%1397271651.44%633127649.61%483446152411
8Columbus Blue Jackets420000111284210000014312100001085370.8751220320055121335339361112231328812325.00%15193.33%01407279150.41%1397271651.44%633127649.61%1006997295227
9Dallas Stars2020000028-61010000013-21010000015-400.00023500110054171423042141436600.00%7357.14%01407279150.41%1397271651.44%633127649.61%453148142512
10Detroit Red Wings312000009901010000023-12110000076120.33391827003240642616220673525598225.00%8275.00%01407279150.41%1397271651.44%633127649.61%674677203417
11Edmonton Oilers22000000725110000004221100000030341.00071320014300693224130441610329222.22%50100.00%01407279150.41%1397271651.44%633127649.61%513743142412
12Florida Panthers3120000068-21010000023-12110000045-120.333611170005108234192908320305414214.29%13469.23%01407279150.41%1397271651.44%633127649.61%724968233819
13Los Angeles Kings2110000034-1110000002021010000014-320.50036901300048171318054151042800.00%5180.00%01407279150.41%1397271651.44%633127649.61%523642142412
14Minnesota Wild22000000743110000004221100000032141.00071219003220562411210441216478112.50%70100.00%01407279150.41%1397271651.44%633127649.61%483445152512
15Montreal Canadiens31200000912-32110000067-11010000035-220.333917260043208624253707018326713430.77%15566.67%01407279150.41%1397271651.44%633127649.61%724868233918
16Nashville Predators21100000651110000004131010000024-220.500611170003306824301404720164011218.18%7271.43%01407279150.41%1397271651.44%633127649.61%523743142311
17New Jersey Devils41200001911-2211000003302010000168-230.375917260033311043243276983435882015.00%15380.00%01407279150.41%1397271651.44%633127649.61%1047288305227
18New York Islanders41300000711-42020000036-32110000045-120.25071320003220105413925010628418210110.00%18383.33%01407279150.41%1397271651.44%633127649.61%966695294823
19New York Rangers422000001284211000005412110000074340.500122234014440117334143010832248517423.53%100100.00%01407279150.41%1397271651.44%633127649.61%1017490284824
20Ottawa Senators321000001147211000008351100000031240.6671122330046108026302405523316212216.67%13192.31%01407279150.41%1397271651.44%633127649.61%795562223820
21Philadelphia Flyers431000001037211000003212200000071660.75010182801262010536402908223408315213.33%19194.74%01407279150.41%1397271651.44%633127649.61%986890305025
22Phoenix Coyotes21100000541110000004221010000012-120.50051015001130612218210662814409333.33%7185.71%01407279150.41%1397271651.44%633127649.61%443049152612
23San Jose Sharks220000001064110000006421100000042241.00010162600433067192820069221246500.00%5180.00%01407279150.41%1397271651.44%633127649.61%473346142512
24St. Louis Blues21000010624110000003031000001032141.000691501212249131718458181850700.00%9188.89%01407279150.41%1397271651.44%633127649.61%513647162512
25Tampa Bay Lightning3120000089-11010000034-12110000055020.333816240031409825363707323206315320.00%10370.00%01407279150.41%1397271651.44%633127649.61%725170223718
26Toronto Maple Leafs31200000111012020000057-21100000063320.33311193000551091333127010428568716425.00%17382.35%01407279150.41%1397271651.44%633127649.61%714971213718
Total82433103122239188514122160200111685314121150112112310320990.604239437676178984618234583676773025216664373417813316419.34%3114984.24%01407279150.41%1397271651.44%633127649.61%1999139619096081035518
28Vancouver Canucks2110000034-1110000002111010000013-220.50036900210046151120055143746600.00%16193.75%01407279150.41%1397271651.44%633127649.61%443050152511
29Vegas Golden Knights21001000734100010004311100000030341.000713200132116127201315310195010330.00%70100.00%01407279150.41%1397271651.44%633127649.61%483548142312
30Washington Capitals42001100181172200000011472000110077070.875183452006561126424142112332599318738.89%19573.68%01407279150.41%1397271651.44%633127649.61%986894294924
31Winnipeg Jets22000000624110000003121100000031241.0006121800321043231550531314433133.33%6183.33%01407279150.41%1397271651.44%633127649.61%453048152613
_Since Last GM Reset82433103122239188514122160200111685314121150112112310320990.604239437676178984618234583676773025216664373417813316419.34%3114984.24%01407279150.41%1397271651.44%633127649.61%1999139619096081035518
_Vs Conference5224220211215412529261014010016858102614801111866719570.548154282436035559375149952649147220134939848711462174621.20%2023582.67%01407279150.41%1397271651.44%633127649.61%12828951200384655330
_Vs Division281490111280582214760000132257147301111483315350.62580146226022828224825295280242187432082616141132421.24%1111685.59%01407279150.41%1397271651.44%633127649.61%698489644206352178

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8299W123943767623452166643734178117
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8243313122239188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412216200111685
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4121151121123103
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3316419.34%3114984.24%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
836767730258984618
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
1407279150.41%1397271651.44%633127649.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1999139619096081035518


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 Kings0Pittsburgh Penguins2WSommaire du Match
77 - 2019-11-17531Pittsburgh Penguins4Calgary Flames1WSommaire du Match
80 - 2019-11-20551Pittsburgh Penguins3Edmonton Oilers0WSommaire du Match
81 - 2019-11-21563Pittsburgh Penguins1Vancouver Canucks3LSommaire du Match
87 - 2019-11-27587Pittsburgh Penguins2Nashville Predators4LSommaire du Match
88 - 2019-11-28597Nashville Predators1Pittsburgh Penguins4WSommaire du Match
90 - 2019-11-30612Ottawa Senators2Pittsburgh Penguins1LSommaire du Match
93 - 2019-12-03631San Jose Sharks4Pittsburgh Penguins6WSommaire du Match
95 - 2019-12-05647Pittsburgh Penguins3Montreal Canadiens5LSommaire du Match
96 - 2019-12-06654Florida Panthers3Pittsburgh Penguins2LSommaire du Match
98 - 2019-12-08673Pittsburgh Penguins3Vegas Golden Knights0WSommaire du Match
101 - 2019-12-11691Pittsburgh Penguins2Colorado Avalanche1WSommaire du Match
103 - 2019-12-13706Pittsburgh Penguins1Phoenix Coyotes2LSommaire du Match
105 - 2019-12-15718Minnesota Wild2Pittsburgh Penguins4WSommaire du Match
107 - 2019-12-17727Pittsburgh Penguins3Boston Bruins1WSommaire du Match
108 - 2019-12-18740Pittsburgh Penguins1Detroit Red Wings4LSommaire du Match
110 - 2019-12-20755Boston Bruins2Pittsburgh Penguins6WSommaire du Match
112 - 2019-12-22763Pittsburgh Penguins3Philadelphia Flyers1WSommaire du Match
122 - 2020-01-01786Philadelphia Flyers1Pittsburgh Penguins0LSommaire du Match
124 - 2020-01-03806Pittsburgh Penguins3Washington Capitals4LXSommaire du Match
128 - 2020-01-07829Pittsburgh Penguins1Tampa Bay Lightning2LSommaire du Match
130 - 2020-01-09848Pittsburgh Penguins2Florida Panthers1WSommaire du Match
133 - 2020-01-12870Tampa Bay Lightning4Pittsburgh Penguins3LSommaire du Match
136 - 2020-01-15892Montreal Canadiens5Pittsburgh Penguins3LSommaire du Match
138 - 2020-01-17906Detroit Red Wings3Pittsburgh Penguins2LSommaire du Match
140 - 2020-01-19921Toronto Maple Leafs3Pittsburgh Penguins2LSommaire du Match
142 - 2020-01-21933Pittsburgh Penguins6Toronto Maple Leafs3WSommaire du Match
144 - 2020-01-23950Buffalo Sabres4Pittsburgh Penguins3LSommaire du Match
145 - 2020-01-24959Pittsburgh Penguins4Washington Capitals3WXSommaire du Match
148 - 2020-01-27983Pittsburgh Penguins1Los Angeles Kings4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29998Pittsburgh Penguins3Anaheim Ducks5LSommaire du Match
151 - 2020-01-301010Pittsburgh Penguins4San Jose Sharks2WSommaire du Match
154 - 2020-02-021022Ottawa Senators1Pittsburgh Penguins7WSommaire du Match
156 - 2020-02-041033Pittsburgh Penguins1Buffalo Sabres4LSommaire du Match
158 - 2020-02-061050Washington Capitals2Pittsburgh Penguins4WSommaire du Match
159 - 2020-02-071059Carolina Hurricanes2Pittsburgh Penguins1LSommaire du Match
161 - 2020-02-091072Pittsburgh Penguins2New Jersey Devils3LSommaire du Match
163 - 2020-02-111088Pittsburgh Penguins4Columbus Blue Jackets2WSommaire du Match
165 - 2020-02-131104Pittsburgh Penguins5Carolina Hurricanes1WSommaire du Match
166 - 2020-02-141115New York Islanders3Pittsburgh Penguins1LSommaire du Match
169 - 2020-02-171133Pittsburgh Penguins2New York Rangers3LSommaire du Match
171 - 2020-02-191146New York Rangers0Pittsburgh Penguins3WSommaire du Match
173 - 2020-02-211164Washington Capitals2Pittsburgh Penguins7WSommaire du Match
175 - 2020-02-231180Carolina Hurricanes1Pittsburgh Penguins2WSommaire du Match
176 - 2020-02-241186Pittsburgh Penguins3Chicago Blackhawks4LSommaire du Match
179 - 2020-02-271205Pittsburgh Penguins4Carolina Hurricanes2WSommaire du Match
180 - 2020-02-281216Pittsburgh Penguins4Philadelphia Flyers0WSommaire du Match
182 - 2020-03-011230New Jersey Devils2Pittsburgh Penguins0LSommaire du Match
184 - 2020-03-031247New York Rangers4Pittsburgh Penguins2LSommaire du Match
186 - 2020-03-051263Pittsburgh Penguins3Ottawa Senators1WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance239,171196,34879,190157,70439,409
Attendance PCT97.22%95.78%96.57%96.16%96.12%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17362 - 96.45% 615,800$25,247,812$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
49,385,567$ 49,900,000$ 18,600,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,900,000$ 49,025,148$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 272,193$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 49,900,000$ 110,186,513$ 110,186,513$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Johnny GaudreauAGE:25PO:59OV:75
David KrejciAGE:33PO:40OV:72
Danton HeinenAGE:23PO:58OV:68
Alexander KerfootAGE:24PO:47OV:68
Troy BrouwerAGE:33PO:26OV:68
Warren FoegeleAGE:23PO:62OV:65
Denis MalginAGE:22PO:57OV:65
Kenny AgostinoAGE:27PO:53OV:63
Brendan LemieuxAGE:23PO:78OV:62
Robby FabbriAGE:23PO:81OV:61
Valentin ZykovAGE:24PO:74OV:61
Aleksi SaarelaAGE:22PO:63OV:61
*Pierre EngvallAGE:23PO:62OV:61
Andrew MangiapaneAGE:23PO:56OV:60
*Adam MascherinAGE:21PO:64OV:59
*Kristian VesalainenAGE:20PO:83OV:58
*Shane GersichAGE:22PO:56OV:58
Paul BittnerAGE:22PO:72OV:55
Ryan JohansenAGE:26PO:76OV:74
Vincent TrocheckAGE:25PO:63OV:72
David KrejciAGE:33PO:40OV:72
Danton HeinenAGE:23PO:58OV:68
Alexander KerfootAGE:24PO:47OV:68
Denis MalginAGE:22PO:57OV:65
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
Rourke ChartierAGE:23PO:54OV:58
Nic PetanAGE:24PO:72OV:53
Nikita KucherovAGE:26PO:66OV:77
Cam AtkinsonAGE:30PO:53OV:74
Danton HeinenAGE:23PO:58OV:68
Troy BrouwerAGE:33PO:26OV:68
Josh ArchibaldAGE:26PO:42OV:66
Warren FoegeleAGE:23PO:62OV:65
Denis MalginAGE:22PO:57OV:65
Denis GurianovAGE:22PO:85OV:63
Valentin ZykovAGE:24PO:74OV:61
*Pierre EngvallAGE:23PO:62OV:61
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:77
Colton ParaykoAGE:26PO:60OV:75
Jared SpurgeonAGE:29PO:39OV:75
Brenden DillonAGE:28PO:36OV:72
Braydon CoburnAGE:34PO:46OV:71
Vince DunnAGE:22PO:69OV:68
Ian McCoshenAGE:23PO:76OV:64
Jonas SiegenthalerAGE:22PO:70OV:64
Tommy CrossAGE:29PO:62OV:64
Dillon SimpsonAGE:26PO:59OV:63
Connor CarrickAGE:25PO:55OV:63
Kurtis MacDermidAGE:25PO:51OV:63
Darren RaddyshAGE:23PO:62OV:62
Brendan GuhleAGE:21PO:72OV:61
Connor HobbsAGE:22PO:63OV:61
*Lucas CarlssonAGE:21PO:63OV:61
Jack DoughertyAGE: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
Mike McKennaAGE:36PO:28OV:78
Alex NedeljkovicAGE:23PO:78OV:74
*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
Blade JenkinsPittsburgh Penguins14139
Calen AddisonPittsburgh Penguins1438
Cole GuttmanPittsburgh Penguins13179
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
Joel FarabeePittsburgh Penguins1419
John LeonardPittsburgh Penguins14132
John PiccinichPittsburgh Penguins10138
Joshua EssPittsburgh Penguins13163
Kasper KotkansaloPittsburgh Penguins13139
Kirill MaksimovPittsburgh Penguins1379
Linus LindstromPittsburgh Penguins12164
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 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
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 San Pit PHX Was Van Chi Phi Buf
16Chi Bos Pit Chi NYI Phi Nas
17Pit Pit Phi Pit Pit
18Pit Pit Pit Phi Pit Pit
19Pit Pit Pit Chi Pit Pit



[2020-03-27 09:47:31] - Stanislav Galiev has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:25] - Pavel Jenys has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:21] - Luc Snuggerud has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:16] - Jamie McBain has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:10] - Conner Hurley has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:06] - Antoine Vermette has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:04] - Anthony Angelo has been deleted from Pittsburgh Penguins.
[2020-03-18 10:57:48] - New Record for Team's Most Hits (39) in 1 Game for Pittsburgh Penguins!
[2020-02-25 08:49:10] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Adam Musil (58), Blake Pietila (62), Jonny Brodzinski (57).
[2020-02-24 16:27:47] - TRADE : From Pittsburgh Penguins to Vegas Golden Knights : Y:19-RND:6-Min.
[2020-02-24 16:27:47] - TRADE : From Vegas Golden Knights to Pittsburgh Penguins : Troy Brouwer (67).
[2020-02-24 16:25:03] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Y:19-RND:3-Chi, Y:15-RND:4-Chi, Y:19-RND:6-Min.
[2020-02-24 16:25:03] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : William Carrier (62).
[2020-02-24 16:24:02] - TRADE : From Pittsburgh Penguins to Nashville Predators : Brad Richardson (68).
[2020-02-24 16:24:02] - TRADE : From Nashville Predators to Pittsburgh Penguins : Y:16-RND:5-Nas.
[2020-02-20 05:14:06] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : David Krejci (71), Y:17-RND:2-Phi, Y:18-RND:3-Phi.
[2020-02-20 05:14:06] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Ryan Strome (69).
[2020-02-20 05:13:36] - TRADE : From Chicago Blackhawks to Pittsburgh Penguins : Ryan Strome (69).
[2020-02-20 05:13:36] - TRADE : From Pittsburgh Penguins to Chicago Blackhawks : Andreas Athanasiou (71).
[2020-02-19 05:00:22] - Pittsburgh Penguins hired Rick Tocchet for 1 000 000 $ for 4 year(s).
[2020-02-19 05:00:13] - Pittsburgh Penguins fired Bill Peters.
[2020-02-10 09:26:23] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Mike McKenna (77), Y:15-RND:5-Buf, Y:17-RND:6-Pit.
[2020-02-10 09:26:23] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Alex Stalock (75).
[2020-02-10 09:25:49] - TRADE : From Vancouver Canucks to Pittsburgh Penguins : Y:15-RND:3-Van.
[2020-02-10 09:25:49] - TRADE : From Pittsburgh Penguins to Vancouver Canucks : Marcus Sorensen (67), Y:19-RND:5-Pit.
[2020-01-14 05:13:31] - TRADE : From Pittsburgh Penguins to New York Islanders : Oskar Sundqvist (68), Y:16-RND:4-Min.
[2020-01-14 05:13:31] - TRADE : From New York Islanders to Pittsburgh Penguins : Y:15-RND:2-San, Y:16-RND:3-NYI.
[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).



[2020-04-04 09:12:04] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-04-02 07:56:49] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-31 07:50:25] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-29 09:01:54] Last 30 Days Pro Star : 1 - Ryan Suter of Pittsburgh Penguins (5-17-22) / 2 - Ryan Johansen of Pittsburgh Penguins (4-12-16) / 3 - Hampus Lindholm of Colorado Avalanche (3-17-20)
[2020-03-29 09:00:34] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-28 09:00:56] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-27 09:47:31] Stanislav Galiev has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:25] Pavel Jenys has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:21] Luc Snuggerud has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:16] Jamie McBain has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:10] Conner Hurley has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:06] Antoine Vermette has been deleted from Pittsburgh Penguins.
[2020-03-27 09:47:04] Anthony Angelo has been deleted from Pittsburgh Penguins.
[2020-03-25 05:28:32] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-24 10:09:02] Last 7 Days Pro Star : 1 - Marc-Edouard Vlasic of Buffalo Sabres (3-2-5) / 2 - Gabriel Landeskog of Minnesota Wild (3-1-4) / 3 - Nikita Kucherov of Pittsburgh Penguins (3-1-4)
[2020-03-24 10:07:57] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-22 08:19:13] Nikita Kucherov from Pittsburgh Penguins has scored a Hat Trick!
[2020-03-22 08:18:21] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-20 10:25:20] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-18 10:57:49] Nikita Kucherov from Pittsburgh Penguins is back from Concussion Injury.
[2020-03-18 10:57:48] New Record for Team's Most Hits (39) in 1 Game for Pittsburgh Penguins!
[2020-03-18 10:57:48] Game 1133 - Nikita Kucherov from Pittsburgh Penguins is injured (Concussion) and is out for the game.
[2020-03-18 10:56:50] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-15 05:30:45] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-12 08:57:41] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-10 08:42:54] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-08 07:30:46] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-07 13:45:23] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-03-05 12:02:54] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5



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
148243310312223918851412216020011168531412115011211231032099239437676178984618234583676773025216664373417813316419.34%3114984.24%01407279150.41%1397271651.44%633127649.61%1999139619096081035518
Total Saison Régulière8243310312223918851412216020011168531412115011211231032099239437676178984618234583676773025216664373417813316419.34%3114984.24%01407279150.41%1397271651.44%633127649.61%1999139619096081035518