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Connexion

Penguins
GP: 82 | W: 38 | L: 38 | OTL: 6 | P: 82
GF: 240 | GA: 261 | PP%: 16.92% | PK%: 74.90%
DG: Michael Murphy | Morale : 50 | Moyenne d’équipe : 68
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Centre de jeu
Ducks
37-31-14, 88pts
3
FINAL
6 Penguins
38-38-6, 82pts
Team Stats
L3SéquenceL1
18-17-6Fiche domicile17-22-2
19-14-8Fiche domicile21-16-4
4-6-0Derniers 10 matchs5-4-1
3.00Buts par match 2.93
3.12Buts contre par match 3.18
19.35%Pourcentage en avantage numérique16.92%
84.64%Pourcentage en désavantage numérique74.90%
Sharks
31-39-12, 74pts
5
FINAL
3 Penguins
38-38-6, 82pts
Team Stats
W1SéquenceL1
16-19-6Fiche domicile17-22-2
15-20-6Fiche domicile21-16-4
4-5-1Derniers 10 matchs5-4-1
2.88Buts par match 2.93
3.35Buts contre par match 3.18
19.42%Pourcentage en avantage numérique16.92%
79.77%Pourcentage en désavantage numérique74.90%
Meneurs d'équipe
Buts
Dillon Dube
43
Passes
Lucas Wallmark
53
Points
Lucas Wallmark
85
Plus/Moins
Dillon Dube
8
Victoires
Michael Hutchinson
24
Pourcentage d’arrêts
Michael Hutchinson
0.903

Statistiques d’équipe
Buts pour
240
2.93 GFG
Tirs pour
2695
32.87 Avg
Pourcentage en avantage numérique
16.9%
45 GF
Début de zone offensive
39.0%
Buts contre
261
3.18 GAA
Tirs contre
2607
31.79 Avg
Pourcentage en désavantage numérique
74.9%%
60 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralMichael Murphy
EntraîneurDave Tippett
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,391
Billets de saison1,800


Informations de la formation

Équipe Pro39
Équipe Mineure18
Limite contact 57 / 60
Espoirs39


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Lucas Wallmark (R)X100.0090596372708888928791848670858052587902823,000,000$
2Dillon Dube (R)X100.007855718676868585707978732584715954750252800,000$
3Daniel Sprong (R)X100.0071458979828186854078797325828169567402721,500,000$
4Devin Shore (R)X100.0076408872827783697692827766858169557402912,000,000$
5Pierre Engvall (R)X100.0073507574878483825873767525786654657202731,500,000$
6Sam Lafferty (R)X100.0080657377788583797775727525776654527102921,500,000$
7Carter RowneyX100.007544986476576760747667832595876559680352900,000$
8Taro Hirose (R)X100.008269637875687366627669616375705766670272700,000$
9Nicolas Aube-Kubel (R)X100.007856637281828071506763662570715959660282700,000$
10Drew O'Connor (R)X100.007745857484797571506565672571615244660251925,000$
11Jean-Sebastien Dea (R)X100.005140676869677868826663696282774645640301575,000$
12Lane Pederson (R)X100.007360687479827067776262652569615263640261750,000$
13Samuel Girard (R)X100.0071459089729186844079698125827664467602511,250,000$
14Jake Sanderson (R)X100.006845928885917583407966882580564969762213925,000$
15Martin Marincin (R)X100.0043229964797274991896829956816752147503222,000,000$
16Matt Grzelcyk (R)X100.0068507881718787794076657825777967577303011,500,000$
17Riley Stillman (R)X100.007175667581838070406761712570715944690262800,000$
18Tim Berni (R)X100.007750727581857371406262712570554922682243925,000$
Rayé
1Nicholas Robertson (R)X100.006540777576816568406765642568605319640221796,667$
2Dylan Sikura (R)X100.008469747777737556616765526679725824630282600,000$
3Clark Bishop (R)X100.006938976675496270717668552576705819630282600,000$
4Max Veronneau (R)X100.004421996772657268446462665675705219620282575,000$
5Radim Zohorna (R)X100.006945656779666662586967682560555020620282750,000$
6Hunter McKown (R)X100.006340747285826066586260632566515020621213950,000$
7Jean-Luc Foudy (R)X100.006440677160606063596356672563505019591213847,500$
8Adam Beckman (R)X100.006040727159616165435762602566505019580232894,167$
9Justin Kirkland (R)X100.005540716363626055545452592554505020542273750,000$
10Cameron Hillis (R)X100.007262967068586245563535584445455119500232838,333$
11K'Andre Miller (R)X56.817950718791898085408173892582615255780241925,000$
12David Rundblad (R)X100.0099893766762567665061618467999641236803311,250,000$
13Conor Timmins (R)X100.006140817383847371407263662569655520670253700,000$
14Juuso Riikola (R)X100.007443896876705669247368682579735619660301700,000$
15Victor Soderstrom (R)X100.005845697578857070406960672568605319660231863,333$
16Tarmo Reunanen (R)X100.005835957170727965306857665369706819640261809,167$
17Joey Keane (R)X100.007268846973626560257169593767665220630241809,166$
18Kevin Czuczman (R)X100.005435956477737258305956604885772820620331750,000$
MOYENNE D’ÉQUIPE98.78704978737674737151706670367567543767
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Michael Hutchinson100.008084897983999999998388888442798703432,500,000$
2Ukko-Pekka Luukkonen (R)100.00818283928988848585845683605279820251778,333$
Rayé
1Kristers Gudlevskis (R)100.00797370787688929493737590825220810312900,000$
MOYENNE D’ÉQUIPE100.0080808183839292939280738775495983
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett96818498999987CAN6222,000,000$


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
1Lucas WallmarkPenguins (PIT)C823253850172901842142779017011.55%40170620.81619253523501131783356.53%23143923101.0005378473
2Dillon DubePenguins (PIT)LW7743337688450160993018915914.29%37155220.1711102147231213101328354.78%1157319100.9814334949
3Devin Shore Penguins (PIT)C82213960-52915162209239791158.79%32160619.592681818411221353351.69%15364232000.7524021442
4Daniel SprongPenguins (PIT)RW76243458152401041032086211711.54%36152620.09912214721310131071230.00%1204225010.7603404342
5Pierre EngvallPenguins (PIT)RW82272754-566101831122357413411.49%23147017.936713261940000104059.04%834116000.7311101454
6Sam LaffertyPenguins (PIT)LW78193150-71395516685208751309.13%34137017.575712241680000134043.68%873625000.7300434213
7Samuel GirardPenguins (PIT)D8043337-131258913812860653.13%119184623.08033142120005174000%04349000.4000131221
8K'Andre MillerPenguins (PIT)D6442529-12582011412012866723.13%89148823.25246171840112158000%03539000.3900013000
9Jake SandersonPenguins (PIT)D8252328-317157917214969653.36%82192323.46358232500115206000%03464000.2900201011
10Carter RowneyPenguins (PIT)C8291625-123220861299525509.47%28109813.400110320000444251.70%7951828000.4500121014
11Taro HirosePenguins (PIT)LW82121325-1492301477315048998.00%13108513.240000310001492147.62%633111000.4600321113
12Matt GrzelcykPenguins (PIT)D8202222-14935881149261350%85156319.060117122000183000%02555000.2800331002
13Nicolas Aube-KubelPenguins (PIT)RW829817-651151197410235798.82%34103512.630001210111402239.74%781118000.3300111111
14Drew O'ConnorPenguins (PIT)LW81125173757951101367011.88%196588.13000010000192040.00%30914000.5200010240
15Martin MarincinPenguins (PIT)D452121407513787226292.78%4792520.58123376000175000%01827000.3001010100
16Lane PedersonPenguins (PIT)C82551042410663941192412.20%75877.1600000000012153.00%20048000.3400002010
17Jean-Sebastien DeaPenguins (PIT)RW688190100253551214215.69%95397.9300004000020045.45%1147000.3300000021
18Riley StillmanPenguins (PIT)D6809921467065545612230%49105915.58000024000113000%01238000.1700437000
19Nicholas RobertsonPenguins (PIT)LW10033340616390%2737.350000000002000%222000.8200000000
20Tim BerniPenguins (PIT)D350331195343322790%4554415.5500000000110000%0618000.1100100000
21David RundbladPenguins (PIT)D29022015385593713350%2542514.67011011000013000%0113000.0900665000
22Dylan SikuraPenguins (PIT)RW20112500103176115.88%11437.1800001000000050.00%211000.2800000000
23Conor TimminsPenguins (PIT)D7011000134010%610515.020000000000000%035000.1900000000
Statistiques d’équipe totales ou en moyenne1476237399636-39124260020391976269596615138.79%8622433616.49457812326222064610361474351753.05%5436530537210.52418373845333836
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
1Michael HutchinsonPenguins (PIT)57242630.9033.123174401651707697200.80055329513
2Ukko-Pekka LuukkonenPenguins (PIT)34141230.8963.1717822094900386200.818112953211
Statistiques d’équipe totales ou en moyenne91383860.9013.144956602592607108340168282724


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BeckmanPenguins (PIT)LW232001-05-10 12:11:39Yes168 Lbs6 ft1NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------
Cameron HillisPenguins (PIT)C232000-06-24 12:15:00Yes174 Lbs5 ft9NoNoN/ANoNo2Pro & Farm838,333$0$0$No838,333$--------No--------
Carter RowneyPenguins (PIT)C351989-05-10 03:51:12No206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Clark BishopPenguins (PIT)C281996-03-29 13:52:05Yes199 Lbs6 ft1NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Conor TimminsPenguins (PIT)D251998-09-18 13:02:52Yes202 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Daniel SprongPenguins (PIT)RW271997-03-17 11:11:13Yes202 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
David RundbladPenguins (PIT)D331990-10-08 11:11:13Yes199 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Devin Shore Penguins (PIT)C291994-07-18 18:38:49Yes206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Dillon DubePenguins (PIT)LW251998-07-20 13:47:59Yes185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Drew O'ConnorPenguins (PIT)LW251998-06-09 04:11:09Yes200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Dylan SikuraPenguins (PIT)RW281995-06-01 04:58:26Yes166 Lbs5 ft11NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Hunter McKownPenguins (PIT)C212002-08-18 12:11:59Yes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Jake SandersonPenguins (PIT)D212002-07-08 13:46:09Yes195 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Jean-Luc FoudyPenguins (PIT)C212002-05-13 13:48:46Yes176 Lbs5 ft11NoNoN/ANoNo3Pro & Farm847,500$0$0$No847,500$847,500$-------NoNo-------
Jean-Sebastien DeaPenguins (PIT)RW301994-02-08 11:22:21Yes174 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Joey KeanePenguins (PIT)D241999-07-02 09:07:19Yes187 Lbs6 ft0NoNoN/ANoNo1Pro & Farm809,166$0$0$No------------------
Justin KirklandPenguins (PIT)RW271996-08-02 13:50:38Yes183 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Juuso RiikolaPenguins (PIT)D301993-11-09 08:40:16Yes189 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------
K'Andre Miller (sur la masse salariale)Penguins (PIT)D242000-01-21 09:04:22Yes215 Lbs6 ft5NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Kevin CzuczmanPenguins (PIT)D331991-01-09 14:01:09Yes205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Kristers GudlevskisPenguins (PIT)G311992-07-31 05:11:14Yes192 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Lane PedersonPenguins (PIT)C261997-08-04 03:51:16Yes192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Lucas WallmarkPenguins (PIT)C281995-09-05 10:07:04Yes178 Lbs6 ft0NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Martin MarincinPenguins (PIT)D321992-02-18 05:11:13Yes213 Lbs6 ft5NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Matt GrzelcykPenguins (PIT)D301994-01-05 10:08:42Yes176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Max VeronneauPenguins (PIT)RW281995-12-12 08:38:07Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Michael HutchinsonPenguins (PIT)G341990-03-02 17:11:14No201 Lbs6 ft3NoNoN/ANoNo3Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------
Nicholas RobertsonPenguins (PIT)LW222001-09-11 09:01:29Yes183 Lbs5 ft9NoNoN/ANoNo1Pro & Farm796,667$0$0$No------------------
Nicolas Aube-KubelPenguins (PIT)RW281996-05-10 13:50:03Yes207 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Pierre EngvallPenguins (PIT)RW271996-05-31 12:18:41Yes219 Lbs6 ft5NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Radim ZohornaPenguins (PIT)C281996-04-29 03:59:24Yes220 Lbs6 ft6NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Riley StillmanPenguins (PIT)D261998-03-09 13:53:59Yes196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Sam LaffertyPenguins (PIT)LW291995-03-06 13:06:06Yes195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
Samuel GirardPenguins (PIT)D251998-05-12 15:17:07Yes170 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Tarmo ReunanenPenguins (PIT)D261998-03-01 08:59:02Yes179 Lbs6 ft0NoNoN/ANoNo1Pro & Farm809,167$0$0$No------------------
Taro HirosePenguins (PIT)LW271996-06-30 03:53:39Yes161 Lbs5 ft10NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Tim BerniPenguins (PIT)D242000-02-11 12:09:53Yes192 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Ukko-Pekka LuukkonenPenguins (PIT)G251999-03-09 08:55:50Yes217 Lbs6 ft5NoNoN/ANoNo1Pro & Farm778,333$0$0$No------------------
Victor SoderstromPenguins (PIT)D232001-02-26 08:53:04Yes184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3926.95192 Lbs6 ft11.821,047,094$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dillon DubeLucas WallmarkDaniel Sprong35122
2Sam LaffertyDevin Shore Pierre Engvall35122
3Taro HiroseCarter RowneyNicolas Aube-Kubel25122
4Drew O'ConnorLane PedersonJean-Sebastien Dea5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardJake Sanderson35122
2Martin MarincinMatt Grzelcyk35122
3Riley StillmanTim Berni30122
4Samuel GirardJake Sanderson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dillon DubeLucas WallmarkDaniel Sprong60122
2Sam LaffertyDevin Shore Pierre Engvall40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardJake Sanderson60122
2Martin MarincinMatt Grzelcyk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkDillon Dube60122
2Daniel SprongDevin Shore 40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardJake Sanderson60122
2Martin MarincinMatt Grzelcyk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Wallmark60122Samuel GirardJake Sanderson60122
2Dillon Dube40122Martin MarincinMatt Grzelcyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas WallmarkDillon Dube60122
2Daniel SprongDevin Shore 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel GirardJake Sanderson60122
2Martin MarincinMatt Grzelcyk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dillon DubeLucas WallmarkDaniel SprongSamuel GirardJake Sanderson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dillon DubeLucas WallmarkDaniel SprongSamuel GirardJake Sanderson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Taro Hirose, Carter Rowney, Nicolas Aube-KubelTaro Hirose, Carter RowneyNicolas Aube-Kubel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Stillman, Tim Berni, Martin MarincinRiley StillmanTim Berni, Martin Marincin
Tirs de pénalité
Lucas Wallmark, Dillon Dube, Daniel Sprong, Devin Shore , Pierre Engvall
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Michael Hutchinson
Lignes d’attaque personnalisées en prolongation
Lucas Wallmark, Dillon Dube, Daniel Sprong, Devin Shore , Pierre Engvall, Sam Lafferty, Sam Lafferty, Taro Hirose, Carter Rowney, Nicolas Aube-Kubel, Drew O'Connor
Lignes de défense personnalisées en prolongation
Samuel Girard, Jake Sanderson, Martin Marincin, Matt Grzelcyk, Riley Stillman


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche31100100910-12010010036-31100000064230.500914230060819191118269618873894213152000%8187.50%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
2Blackhawks31200000611-51010000014-32110000057-220.3336111700608191911282696188738992410778112.50%4175.00%11136209854.15%1071202652.86%677126053.73%1839110217357111389712
3Blues3120000067-1211000004401010000023-120.333610160060819198482696188738862722795240.00%6183.33%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
4Bruins412001001011-1211000006422010010047-330.37510132300608191913882696188738129453211015213.33%11463.64%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
5Canadiens3200010012932200000010641000010023-150.833122133006081919103826961887381054136857114.29%8187.50%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
6Canucks312000001112-11100000062420200000510-520.33311193000608191910882696188738943116597114.29%3166.67%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
7Capitals531000011516-12200000084431100001712-570.700152641006081919155826961887381554612212424416.67%16662.50%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
8Devils513000101318-531200000813-52010001055040.400132134006081919162826961887381575114912425624.00%27581.48%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
9Ducks310010101165210010009541000001021161.0001118290060819191008269618873811030968600.00%2150.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
10Flames3210000010641010000023-12200000083540.667101626006081919958269618873897314071700.00%5180.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
11Flyers504010001217-530201000810-22020000047-320.20012203200608191918382696188738163709114621523.81%18383.33%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
12Islanders614001001625-940300100919-102110000076130.250162642006081919195826961887381927311415427518.52%33875.76%11136209854.15%1071202652.86%677126053.73%1839110217357111389712
13Kings31200000810-21010000023-12110000067-120.333813210060819199482696188738952925736116.67%5180.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
14Maple Leafs310010101073100000104312100100064261.0001013230060819199182696188738101263265700.00%11281.82%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
15Oilers321000008711010000024-22200000063340.667812200060819199482696188738922921641000.00%3166.67%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
16Predators3020100068-22010100045-11010000023-120.333610160060819199182696188738109323577300.00%5180.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
17Rangers514000001522-7312000001113-22020000049-520.200152742006081919150826961887381324827515034617.65%251156.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
18Red Wings3120000058-3211000004401010000014-320.333510150060819191058269618873894344269600.00%60100.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
19Sabres321000009721010000012-12200000085340.667915240060819199082696188738793332835120.00%11372.73%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
20Senateurs3300000014591100000031222000000114761.0001425390060819191128269618873810327217016531.25%8275.00%11136209854.15%1071202652.86%677126053.73%1839110217357111389712
21Sharks302010001016-620200000613-71000100043120.33310182800608191992826961887381054634698225.00%7271.43%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
22Stars330000001293110000005412200000075261.00012213300608191995826961887389327437810330.00%9277.78%11136209854.15%1071202652.86%677126053.73%1839110217357111389712
23Wild412000011214-21010000034-131100001910-130.37512203200608191913582696188738123411692900.00%8275.00%01136209854.15%1071202652.86%677126053.73%1839110217357111389712
Total82303805432240261-2141132203210119136-1741171602222121125-4820.5002403996390060819192695826961887382607862124820392664516.92%2396074.90%41136209854.15%1071202652.86%677126053.73%1839110217357111389712
_Since Last GM Reset82303805432240261-2141132203210119136-1741171602222121125-4820.5002403996390060819192695826961887382607862124820392664516.92%2396074.90%41136209854.15%1071202652.86%677126053.73%1839110217357111389712
_Vs Conference45162102321131145-1424912011107279-72179012115966-7440.489131217348006081919148482696188738141049494611801873518.72%1744574.14%21136209854.15%1071202652.86%677126053.73%1839110217357111389712
_Vs Division26616011117198-271549011004459-151127000112739-12180.34671120191006081919845826961887387992887516981312619.85%1193372.27%11136209854.15%1071202652.86%677126053.73%1839110217357111389712

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8282L1240399639269526078621248203900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8230385432240261
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113223210119136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117162222121125
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2664516.92%2396074.90%4
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
826961887386081919
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
1136209854.15%1071202652.86%677126053.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1839110217357111389712


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28Islanders4Penguins1BLSommaire du match
425Blues3Penguins1BLSommaire du match
636Penguins2Wild3ALSommaire du match
744Penguins3Capitals8ALSommaire du match
1058Rangers6Penguins3BLSommaire du match
1267Penguins2Kings4ALSommaire du match
1577Penguins3Oilers2AWSommaire du match
1789Flyers2Penguins3BWXSommaire du match
20106Devils8Penguins2BLSommaire du match
23119Penguins5Sabres3AWSommaire du match
25130Islanders7Penguins3BLSommaire du match
27143Penguins2Bruins3ALXSommaire du match
29155Canadiens2Penguins4BWR2Sommaire du match
31166Penguins5Flames2AWSommaire du match
33176Rangers3Penguins2BLSommaire du match
35186Penguins2Canucks6ALSommaire du match
37195Penguins3Stars2AWSommaire du match
39204Rangers4Penguins6BWSommaire du match
41218Penguins3Flyers4ALSommaire du match
44230Devils4Penguins2BLSommaire du match
46243Penguins4Stars3AWSommaire du match
49256Maple Leafs3Penguins4BWXXSommaire du match
51267Penguins6Avalanche4AWSommaire du match
52277Sabres2Penguins1BLSommaire du match
55293Penguins4Blackhawks3AWSommaire du match
57303Islanders5Penguins4BLXSommaire du match
61324Red Wings2Penguins3BWR2Sommaire du match
63337Penguins4Sharks3AWXSommaire du match
65343Blues1Penguins3BWSommaire du match
67357Penguins2Bruins4ALSommaire du match
69365Penguins1Red Wings4ALR2Sommaire du match
71376Predators3Penguins1BLSommaire du match
74393Bruins1Penguins4BWSommaire du match
76400Penguins6Senateurs2AWSommaire du match
78408Penguins2Predators3ALSommaire du match
81422Bruins3Penguins2BLSommaire du match
85440Penguins2Canadiens3ALXR2Sommaire du match
86447Wild4Penguins3BLSommaire du match
90464Penguins3Canucks4ALSommaire du match
92472Blackhawks4Penguins1BLSommaire du match
94487Penguins3Oilers1AWSommaire du match
96495Capitals3Penguins5BWSommaire du match
98506Penguins4Kings3AWSommaire du match
100517Predators2Penguins3BWXSommaire du match
101525Penguins1Devils2ALSommaire du match
104536Penguins3Maple Leafs2AWXSommaire du match
106547Devils1Penguins4BWSommaire du match
108556Penguins1Blackhawks4ALSommaire du match
110568Penguins2Ducks1AWXXSommaire du match
111573Stars4Penguins5BWSommaire du match
115586Penguins2Blues3ALSommaire du match
116596Oilers4Penguins2BLSommaire du match
120617Flyers5Penguins3BLSommaire du match
122628Penguins3Flames1AWSommaire du match
124639Flyers3Penguins2BLSommaire du match
128661Kings3Penguins2BLSommaire du match
133681Penguins2Capitals1AWSommaire du match
135689Red Wings2Penguins1BLR2Sommaire du match
138706Canucks2Penguins6BWSommaire du match
140720Penguins3Rangers4ALSommaire du match
142729Avalanche2Penguins1BLXSommaire du match
144740Penguins4Devils3AWXXSommaire du match
146748Penguins3Maple Leafs2AWSommaire du match
148758Islanders3Penguins1BLSommaire du match
151778Senateurs1Penguins3BWSommaire du match
153787Penguins5Senateurs2AWSommaire du match
155801Avalanche4Penguins2BLSommaire du match
157814Penguins1Rangers5ALSommaire du match
159826Capitals1Penguins3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161837Penguins1Islanders3ALSommaire du match
163847Ducks2Penguins3BWXSommaire du match
164853Penguins5Wild6ALXXSommaire du match
168871Penguins1Flyers3ALSommaire du match
169878Canadiens4Penguins6BWR2Sommaire du match
171890Penguins3Sabres2AWSommaire du match
172901Sharks8Penguins3BLSommaire du match
174909Penguins6Islanders3AWSommaire du match
176924Flames3Penguins2BLSommaire du match
179935Penguins2Capitals3ALXXSommaire du match
181943Penguins2Wild1AWSommaire du match
184959Ducks3Penguins6BWSommaire du match
190975Sharks5Penguins3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance58,69939,330
Assistance PCT71.58%95.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2391 - 79.70% 119,350$4,893,345$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
6,009,019$ 3,991,167$ 1,701,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 4,009,065$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 31,042$ 0$




Penguins Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Penguins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Penguins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Penguins Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Penguins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA