Pittsburgh Penguins

GP: 50 | W: 34 | L: 14 | OTL: 2 | P: 70
GF: 147 | GA: 107 | PP%: 17.70% | PK%: 86.49%
DG: Maxime Roy | Morale : 77 | Moyenne d'Équipe : 72
Prochain matchs #786 vs Philadelphia Flyers
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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 KucherovX100.005743748668859590529386599271746683770
2Johnny GaudreauX100.005238868962869591528879569071745978750
3Cam AtkinsonX100.005637887864859377587484768078805383740
4Ryan JohansenX100.007640717887859377868269747673757680740
5Vincent TrocheckX100.008445717568856874868076777371676370720
6Andreas AthanasiouXXX100.005640838078828977707278638269715878710
7Alexander KerfootXX100.005640827465779173767470587271664780680
8Brad RichardsonX100.007138806572817964806365826284772649680
9Marcus SorensenXX100.007343876868739367546369736873685183670
10Josh ArchibaldX100.008742846466748163576265746173684283660
11Denis MalginXXX100.006638896965737268736767666863625748650
12Warren FoegeleXX100.008237876480739062566163656465666259650
13Ryan SuterX100.007145807481949573308364855684764683770
14Jared SpurgeonX100.007137897463919572307973865878703979750
15Colton ParaykoX100.008142906898899366307667825471696083750
16Braydon CoburnX100.007740796394818762307456744984744683710
17Brenden DillonX100.008948716391839562307357745177693666710
18Vince DunnX100.005846827075839168307669635665676983680
Rayé
1Danton HeinenXXX100.006237897075769068717567666567665870680
MOYENNE D'ÉQUIPE100.00704182727582897155747071677370537571
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 Quick100.00929189819190929190929182873968870
2Alex Stalock100.00777573747675777675777680863779750
Rayé
MOYENNE D'ÉQUIPE100.0085838178848385848385848187387481
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'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 PenguinsRW502032521622033841755114311.43%2105621.133121539175000003341.12%10700000.9814000426
2Johnny GaudreauPittsburgh PenguinsLW4518274518006861493910012.08%191420.33471131155000002126.23%6100000.9824000541
3Cam AtkinsonPittsburgh PenguinsRW5016233921801493188501328.51%15101420.28210124116700061914247.89%7100010.7701000132
4Ryan JohansenPittsburgh PenguinsC5017223912560171115133337412.78%3104020.80581334176000064053.78%132200000.7500000435
5Vincent TrocheckPittsburgh PenguinsC471919382242101691111403910713.57%883017.684812371510002764051.18%106300000.9100002651
6Jared SpurgeonPittsburgh PenguinsD501022329240917492285310.87%74127425.487310451870000154200.00%000000.5000000422
7Colton ParaykoPittsburgh PenguinsD486243020481081367022478.57%6299620.765611411490000128110.00%000000.6000101013
8Ryan SuterPittsburgh PenguinsD5022628862094746526383.08%67128925.79279401880001142000.00%000000.4300000001
9Andreas AthanasiouPittsburgh PenguinsC/LW/RW49109191600105510127619.90%587517.8731424164000084145.71%10500000.4324000113
10Braydon CoburnPittsburgh PenguinsD5031518283959445158820.00%3990318.07000260000134100.00%000000.4000010030
11Vince DunnPittsburgh PenguinsD5011314-75515304515312.22%3088117.6215621153000066000.00%000000.3200100001
12Alexander KerfootPittsburgh PenguinsC/LW464812-910021415322397.55%257212.440111200000331051.77%31100000.4200000000
13Danton HeinenPittsburgh PenguinsC/LW/RW455510-46022425812398.62%152111.58123224000002041.03%3900000.3800000110
14Brenden DillonPittsburgh PenguinsD45369-741583381971015.79%3862713.96101523000034010.00%000000.2900001010
15Marcus SorensenPittsburgh PenguinsLW/RW50426-1123538315013398.00%24348.6800001000002033.33%2400000.2800001001
16Brad RichardsonPittsburgh PenguinsC38415-44021782882414.29%839510.4100011200001310050.26%56700000.2500000001
17Denis MalginPittsburgh PenguinsC/LW/RW31033220417143140.00%21785.7700000000040064.71%1700000.3400000000
18Josh ArchibaldPittsburgh PenguinsRW5021311204220327156.25%33777.56000000001870012.00%2500000.1600000011
19Jonas SiegenthalerPenguins (Pit)D420218022201100.00%65614.180000000000100.00%000000.7100000100
20Warren FoegelePittsburgh PenguinsLW/RW5011020411010.00%0357.03000000000000100.00%200000.5700000000
Stats d'équipe Total ou en Moyenne8531462594051324144010151073143041097610.21%3681427616.743870108364175900010120131950.70%371400010.57513215272728
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 Penguins45311120.9241.992588258611380100.72711446852
2Alex StalockPittsburgh Penguins103300.8972.6543000191850000.0000644000
Stats d'équipe Total ou en Moyenne55341420.9212.0930182510513230100.727115050852


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
Alex StalockPittsburgh PenguinsG311987-07-28No198 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$272,727$NoLien
Alexander KerfootPittsburgh PenguinsC/LW241994-08-11No175 Lbs5 ft10NoNoNo3Pro & Farm300,000$300,000$109,091$No300,000$300,000$Lien
Andreas AthanasiouPittsburgh PenguinsC/LW/RW241994-08-06No188 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$2,500,000$909,091$No2,500,000$Lien
Brad RichardsonPittsburgh PenguinsC341985-02-04No190 Lbs6 ft0NoNoNo4Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$1,000,000$1,000,000$Lien
Braydon CoburnPittsburgh PenguinsD341985-02-27No223 Lbs6 ft5NoNoNo3Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$1,000,000$Lien
Brenden DillonPittsburgh PenguinsD281990-11-13No225 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$1,000,000$363,636$No1,000,000$Lien
Cam AtkinsonPittsburgh PenguinsRW301989-06-05No179 Lbs5 ft8NoNoNo1Pro & Farm5,000,000$5,000,000$1,818,182$NoLien
Colton ParaykoPittsburgh PenguinsD261993-05-12No230 Lbs6 ft6NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Danton HeinenPittsburgh PenguinsC/LW/RW231995-07-05No188 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Denis MalginPittsburgh PenguinsC/LW/RW221997-01-18No177 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Jared SpurgeonPittsburgh PenguinsD291989-11-29No167 Lbs5 ft9NoNoNo1Pro & Farm5,000,000$5,000,000$1,818,182$NoLien
Johnny GaudreauPittsburgh PenguinsLW251993-08-13No165 Lbs5 ft9NoNoNo4Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$3,500,000$3,500,000$Lien
Jonathan QuickPittsburgh PenguinsG331986-01-21No216 Lbs6 ft1NoNoNo1Pro & Farm6,500,000$6,500,000$2,363,636$NoLien
Josh ArchibaldPittsburgh PenguinsRW261992-10-06No176 Lbs5 ft10NoNoNo3Pro & Farm300,000$300,000$109,091$No300,000$300,000$Lien
Marcus SorensenPittsburgh PenguinsLW/RW271992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm300,000$300,000$109,091$No300,000$Lien
Nikita KucherovPittsburgh PenguinsRW261993-06-17No178 Lbs5 ft11NoNoNo2Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$Lien
Ryan JohansenPittsburgh PenguinsC261992-07-31No218 Lbs6 ft3NoNoNo3Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$3,500,000$Lien
Ryan SuterPittsburgh PenguinsD341985-01-21No208 Lbs6 ft2NoNoNo3Pro & Farm5,000,000$5,000,000$1,818,182$No5,000,000$5,000,000$Lien
Vince DunnPittsburgh PenguinsD221996-10-29No203 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$181,818$No500,000$Lien
Vincent TrocheckPittsburgh PenguinsC251993-07-11No186 Lbs5 ft10NoNoNo2Pro & Farm3,500,000$3,500,000$1,272,727$No3,500,000$Lien
Warren FoegelePittsburgh PenguinsLW/RW231996-04-01No198 Lbs6 ft2NoNoNo3Pro & Farm300,000$300,000$109,091$No300,000$300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.24193 Lbs6 ft02.292,354,762$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,450,000$32,200,000$14,900,000$4,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas AthanasiouRyan JohansenNikita Kucherov42113
2Johnny GaudreauVincent TrocheckCam Atkinson30113
3Marcus SorensenAlexander KerfootJosh Archibald20122
4Warren FoegeleBrad RichardsonDenis Malgin8122
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
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
Marcus SorensenRyan JohansenCam AtkinsonRyan SuterJared Spurgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vincent Trocheck, Johnny Gaudreau, Cam AtkinsonVincent Trocheck, Andreas AthanasiouJosh Archibald
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vince Dunn, Brenden Dillon, Colton ParaykoVince DunnVince Dunn, Colton Parayko
Tirs de Pénalité
Nikita Kucherov, Vincent Trocheck, Johnny Gaudreau, 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%0893175550.88%858167151.35%38477549.55%2114257126
2Boston Bruins330000001578110000006242200000095461.000152540006720983831290661587416425.00%30100.00%0893175550.88%858167151.35%38477549.55%765463224021
3Buffalo Sabres10001000101100010001010000000000021.0001120100013398142276224500.00%10100.00%0893175550.88%858167151.35%38477549.55%2821227115
4Calgary Flames22000000725110000003121100000041341.000713200031306013281905916183110110.00%90100.00%0893175550.88%858167151.35%38477549.55%473147142512
5Chicago Blackhawks11000000422110000004220000000000021.0004812000220276912021613264250.00%3166.67%0893175550.88%858167151.35%38477549.55%2315246126
6Colorado Avalanche2110000035-21010000014-31100000021120.5003580020106433161505916103711218.18%5180.00%0893175550.88%858167151.35%38477549.55%483446152411
7Columbus Blue Jackets31000011862210000014311000001043150.83381321003312108393529119523307110330.00%14192.86%0893175550.88%858167151.35%38477549.55%775372223920
8Dallas Stars2020000028-61010000013-21010000015-400.00023500110054171423042141436600.00%7357.14%0893175550.88%858167151.35%38477549.55%453148142512
9Detroit Red Wings21100000761000000000002110000076120.50071421003220452212110481712355120.00%5180.00%0893175550.88%858167151.35%38477549.55%453051132311
10Edmonton Oilers22000000725110000004221100000030341.00071320014300693224130441610329222.22%50100.00%0893175550.88%858167151.35%38477549.55%513743142412
11Florida Panthers2020000047-31010000023-11010000024-200.00047110004006026122206712263411218.18%11463.64%0893175550.88%858167151.35%38477549.55%503543142513
12Los Angeles Kings11000000202110000002020000000000021.0002460120002610970215418500.00%20100.00%0893175550.88%858167151.35%38477549.55%2718206126
13Minnesota Wild22000000743110000004221100000032141.00071219003220562411210441216478112.50%70100.00%0893175550.88%858167151.35%38477549.55%483445152512
14Montreal Canadiens2110000067-1110000003211010000035-220.50061117002220681520330419143811436.36%7271.43%0893175550.88%858167151.35%38477549.55%513441142713
15Nashville Predators21100000651110000004131010000024-220.500611170003306824301404720164011218.18%7271.43%0893175550.88%858167151.35%38477549.55%523743142311
16New Jersey Devils21000001761110000003121000000145-130.75071320002231471216176561821381000.00%8187.50%0893175550.88%858167151.35%38477549.55%523646152613
17New York Islanders3120000068-21010000023-12110000045-120.33361218002220833130220822333618112.50%14192.86%0893175550.88%858167151.35%38477549.55%704770223818
18New York Rangers11000000514000000000001100000051421.0005813002120361391402768217114.29%30100.00%0893175550.88%858167151.35%38477549.55%2720196126
19Ottawa Senators1010000012-11010000012-10000000000000.000123001000218580277622500.00%30100.00%0893175550.88%858167151.35%38477549.55%3021176116
20Philadelphia Flyers22000000624110000003121100000031241.00061117000420592321150381624448112.50%11190.91%0893175550.88%858167151.35%38477549.55%493445142512
21Phoenix Coyotes21100000541110000004221010000012-120.50051015001130612218210662814409333.33%7185.71%0893175550.88%858167151.35%38477549.55%443049152612
22San Jose Sharks11000000642110000006420000000000021.000691500222039102090336425200.00%2150.00%0893175550.88%858167151.35%38477549.55%2417227136
23St. Louis Blues21000010624110000003031000001032141.000691501212249131718458181850700.00%9188.89%0893175550.88%858167151.35%38477549.55%513647162512
24Tampa Bay Lightning11000000431000000000001100000043121.0004812001120338916028118206116.67%4175.00%0893175550.88%858167151.35%38477549.55%2317247115
25Toronto Maple Leafs1010000034-11010000034-10000000000000.0003690012003111812033827354250.00%5180.00%0893175550.88%858167151.35%38477549.55%2517226116
Total503014020221471074026176020017648282413800021715912700.700147265412055153397146852846746224132337543610712093717.70%1852586.49%0893175550.88%858167151.35%38477549.55%12348601153369635318
27Vancouver Canucks2110000034-1110000002111010000013-220.50036900210046151120055143746600.00%16193.75%0893175550.88%858167151.35%38477549.55%443050152511
28Vegas Golden Knights21001000734100010004311100000030341.000713200132116127201315310195010330.00%70100.00%0893175550.88%858167151.35%38477549.55%483548142312
29Winnipeg Jets22000000624110000003121100000031241.0006121800321043231550531314433133.33%6183.33%0893175550.88%858167151.35%38477549.55%453048152613
_Since Last GM Reset503014020221471074026176020017648282413800021715912700.700147265412055153397146852846746224132337543610712093717.70%1852586.49%0893175550.88%858167151.35%38477549.55%12348601153369635318
_Vs Conference24128010127359141154010012821713740001145387300.62573131204012330184722255216242196351712195171062018.87%891385.39%0893175550.88%858167151.35%38477549.55%608424542175306155
_Vs Division116200012322395310000112846310001120155160.7273257890091210333311811197172988611623543613.95%50492.00%0893175550.88%858167151.35%38477549.55%2771922558114271

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5070W214726541214681323375436107105
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5030142022147107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2617620017648
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2413800217159
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
2093717.70%1852586.49%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
528467462245153397
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
893175550.88%858167151.35%38477549.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12348601153369635318


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 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
Assistance149,815123,55949,687100,12425,000
Attendance PCT96.04%95.05%95.55%96.27%96.15%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
15 17238 - 95.77% 610,756$15,879,649$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
31,067,100$ 49,450,000$ 18,100,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,450,000$ 30,964,446$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
9,161,336$ 68 264,973$ 18,018,164$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
18,568,664$ 49,450,000$ 119,683,881$ 110,276,553$



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
Warren FoegeleAGE:23PO:62OV:65
Denis MalginAGE:22PO:57OV:65
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
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
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
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:53
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
Warren FoegeleAGE:23PO:62OV:65
Denis MalginAGE:22PO:57OV:65
Denis GurianovAGE:22PO:85OV:63
William CarrierAGE:24PO:67OV:62
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
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: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
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 San Pit PHX Was Phi
16Chi Bos Pit Chi NYI Phi
17Pit Pit Pit
18Pit Pit Pit Pit Pit
19Pit Pit Pit Pit Pit 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).
[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.



[2020-01-27 20:59:42] Danton Heinen from Pittsburgh Penguins is back from Broken Bone (Right Ankle) Injury.
[2020-01-21 07:52:04] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-19 10:39:00] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-17 05:11:20] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-16 05:12:38] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[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.
[2020-01-14 05:09:58] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-12 10:58:47] Game 706 - Danton Heinen from Pittsburgh Penguins is injured (Broken Bone (Right Ankle)) and is out for 2 weeks.
[2020-01-12 10:57:58] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-10 08:04:11] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-07 08:27:19] Last 7 Days Pro Star : 1 - Kris Letang of Phoenix Coyotes (4-2-6) / 2 - Sean Couturier of Minnesota Wild (3-4-7) / 3 - Cam Atkinson of Pittsburgh Penguins (4-3-7)
[2020-01-07 08:26:16] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-06 09:22:09] Johnny Gaudreau from Pittsburgh Penguins is back from Broken Bone (Left Ankle) Injury.
[2020-01-05 05:11:51] Andreas Athanasiou from Pittsburgh Penguins is back from Sprained Right Finger Injury.
[2020-01-05 05:09:46] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-05 05:09:46] Warren Foegele of Pittsburgh Penguins was sent to pro.
[2020-01-04 05:16:02] Game 647 - Andreas Athanasiou from Pittsburgh Penguins is injured (Sprained Right Finger) and is out for 4 days.
[2020-01-04 05:14:38] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2020-01-02 11:03:57] Cam Atkinson from Pittsburgh Penguins has scored a Hat Trick!
[2020-01-02 11:02:58] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.2.0.5
[2019-12-31 11:33:16] Vincent Trocheck from Pittsburgh Penguins is back from Right Hand Injury.
[2019-12-30 14:00:53] Game 612 - Vincent Trocheck from Pittsburgh Penguins is injured (Right Hand) and is out for 4 days.
[2019-12-30 14:00:41] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-28 16:30:55] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-27 07:40:54] Game 587 - Johnny Gaudreau from Pittsburgh Penguins is injured (Broken Bone (Left Ankle)) and is out for 1 week.
[2019-12-27 07:38:00] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-21 11:20:34] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-20 13:30:52] Successfully loaded Pittsburgh Penguins lines done with STHS Client - 3.1.6.6
[2019-12-17 08:49:16] 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
1450301402022147107402617602001764828241380002171591270147265412055153397146852846746224132337543610712093717.70%1852586.49%0893175550.88%858167151.35%38477549.55%12348601153369635318
Total Saison Régulière50301402022147107402617602001764828241380002171591270147265412055153397146852846746224132337543610712093717.70%1852586.49%0893175550.88%858167151.35%38477549.55%12348601153369635318