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Penguins

GP: 50 | W: 4 | L: 44 | OTL: 2 | P: 10
GF: 181 | GA: 371 | PP%: 14.63% | PK%: 64.15%
DG: Olivier Pinho | Morale : 50 | Moyenne d'Équipe : 60
Prochain matchs #760 vs Reign
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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 SPÂgeContratSalaire
1Gemel SmithX100.00594587637278776269606159637166050620251700,000$
2Michael MerschX100.00695385598388905854575960587568050620271675,000$
3John McCarthyX100.00624588587680825651535759568474050610331650,000$
4Dennis YanX100.00624984587785835652545759566563050600221935,833$
5Sean MaloneX100.00634587597482805866575655586965050600242750,000$
6Martin PospisilX100.00625471587577745752565459586163050590193810,000$
7Rich CluneX100.00594577567275715450515553568273050580321650,000$
8Christian WolaninX100.00614288627782736130635859546965050620242900,000$
9John NybergX100.00654688578178775630545358456764050590231745,000$
10Mac HollowellX100.00564483586376755730565459466362047580213799,766$
Rayé
MOYENNE D'ÉQUIPE100.0062478459758078584856565855716605060
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
1Ivan Prosvetov100.0072767484717072717072716165050630
2Nick Schneider100.0069565474686769686769686569050610
3Jakub Skarek100.0067656383666567666567666165050600
Rayé
MOYENNE D'ÉQUIPE100.006966648068676968676968626605061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Sean MalonePenguins (PIT)C48234265-28180721352177014110.60%5876415.93101615000171053.06%94800011.7000000101
2Dennis YanPenguins (PIT)LW48263864-25155601042326417211.21%4674015.4400024000002241.18%6800021.7300100210
3Rich ClunePenguins (PIT)LW48183250-251205563129419913.95%4376816.00000100000280041.46%8200001.3000000020
4Gemel SmithPenguins (PIT)C48202444-6475112166295732386.78%7992419.254711411150000140055.04%116100010.9501010021
5Martin PospisilPenguins (PIT)LW48152843-5427518490224621646.70%54103321.532353178000000042.11%7600010.8300001101
6John McCarthyPenguins (PIT)LW50162440-29806470179431348.94%3280216.052132580000001141.54%6500001.0000000021
7Cory ConacherPenguinsC42162238-1895341201595012210.06%3769016.4513419760000120054.65%93500011.1000010101
8Christian WolaninPenguins (PIT)D48132437-57240617113144629.92%109104421.772355086000254000.00%000000.7100000000
9Michael MerschPenguins (PIT)LW4210172710160633191287310.99%662514.900111345000092052.94%3400010.8601000302
10John NybergPenguins (PIT)D4852025-55480121548740645.75%83103321.531343686000144000.00%000000.4800000000
11Mac HollowellPenguins (PIT)D3101-64015582312.50%65618.770001300005000.00%000000.3600000000
Stats d'équipe Total ou en Moyenne473163271434-35118820841909175251712729.30%553848517.9413213422559200041766353.19%336900071.0202121877
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS 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
Christian WolaninPenguins (PIT)D241995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Dennis YanPenguins (PIT)LW221997-04-14No197 Lbs6 ft1NoNoNo1Pro & Farm935,833$0$0$NoLien / Lien NHL
Gemel SmithPenguins (PIT)C251994-04-16No196 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ivan ProsvetovPenguins (PIT)G201999-03-04No175 Lbs6 ft5NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Jakub SkarekPenguins (PIT)G191999-11-10No196 Lbs6 ft3NoNoNo3Pro & Farm927,500$0$0$No927,500$927,500$Lien
John McCarthyPenguins (PIT)LW331986-08-09No195 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
John NybergPenguins (PIT)D231996-07-14No190 Lbs6 ft3NoNoNo1Pro & Farm745,000$0$0$NoLien / Lien NHL
Mac HollowellPenguins (PIT)D211998-09-26No170 Lbs5 ft9NoNoNo3Pro & Farm799,766$0$0$No799,766$799,766$Lien
Martin PospisilPenguins (PIT)LW191999-11-19No173 Lbs6 ft2NoNoNo3Pro & Farm810,000$0$0$No810,000$810,000$Lien
Michael MerschPenguins (PIT)LW271992-10-02No213 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Nick SchneiderPenguins (PIT)G221997-07-31No170 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Rich ClunePenguins (PIT)LW321987-04-25No207 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Sean MalonePenguins (PIT)C241995-04-30No197 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1323.92190 Lbs6 ft11.77780,238$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gemel Smith30122
2John McCarthyMartin Pospisil30122
3Dennis YanSean MaloneRich Clune25122
4Martin Pospisil15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninJohn Nyberg30122
230122
325122
4Christian WolaninJohn Nyberg15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gemel Smith60122
2John McCarthyMartin Pospisil40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninJohn Nyberg60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Gemel Smith40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninJohn Nyberg60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Christian WolaninJohn Nyberg60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Gemel Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian WolaninJohn Nyberg60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gemel SmithChristian WolaninJohn Nyberg
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gemel SmithChristian WolaninJohn Nyberg
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Malone, Dennis Yan, Rich CluneSean Malone, Dennis YanRich Clune
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Christian Wolanin, John NybergChristian Wolanin, John Nyberg
Tirs de Pénalité
, , Gemel Smith, , John McCarthy
Gardien
#1 : , #2 :


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
1Admirals20100100712-51010000037-41000010045-110.25071320006363550886437197167100286526116.67%3166.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
2Americans30300000720-131010000046-220200000314-1100.00071320006363550916437197167132481673300.00%7185.71%0895182449.07%699159043.96%493100049.30%10467401367331595276
3Barracuda1010000035-21010000035-20000000000000.00034700636355033643719716756134282150.00%10100.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
4Bruins2010000159-4000000000002010000159-410.2505914006363550626437197167105371251500.00%5260.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
5Checkers1010000058-3000000000001010000058-300.000581300636355030643719716757151415200.00%5180.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
6Comets220000002314911000000108211000000136741.00023406300636355017464371971671133566033100.00%3166.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
7Condors220000002010101100000011381100000097241.0002034540063635502236437197167572512653133.33%60100.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
8Crunch303000001129-1800000000000303000001129-1800.0001120310063635508564371971672155810669111.11%5340.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
9Devils404000001331-1820200000811-320200000520-1500.000132336006363550161643719716722766289114321.43%7442.86%0895182449.07%699159043.96%493100049.30%10467401367331595276
10Eagles1010000018-71010000018-70000000000000.0001230063635504064371971676114225200.00%10100.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
11Griffins30300000719-121010000024-220200000515-1000.0007132010636355011264371971671263314934125.00%60100.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
12Gulls10100000511-60000000000010100000511-600.00059140063635504564371971678523019100.00%000.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
13Heat10100000310-710100000310-70000000000000.0003580063635505364371971675422422000.00%220.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
14IceHogs1010000047-3000000000001010000047-300.00045900636355041643719716750146213133.33%3166.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
15Marlies20200000715-80000000000020200000715-800.000712190063635507864371971671081719295120.00%6266.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
16Monsters1010000026-41010000026-40000000000000.000246006363550496437197167288413400.00%220.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
17Moose20200000517-121010000028-61010000039-600.000591400636355061643719716799226358225.00%2150.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
18Phantoms303000001127-1620200000919-101010000028-600.00011193000636355010864371971672346316596116.67%7357.14%0895182449.07%699159043.96%493100049.30%10467401367331595276
19Roadrunners1010000006-61010000006-60000000000000.0000000063635504964371971674313020200.00%110.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
20Rocket30300000719-1220200000713-61010000006-600.0007132000636355010264371971671305012821616.25%6350.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
21Senators1010000059-41010000059-40000000000000.00058130063635504564371971675914625000.00%3233.33%0895182449.07%699159043.96%493100049.30%10467401367331595276
22Sound Tigers20200000815-71010000047-31010000048-400.00081523006363550796437197167101401939700.00%7357.14%0895182449.07%699159043.96%493100049.30%10467401367331595276
23Stars20200000819-111010000059-410100000310-700.00081422006363550616437197167128471441500.00%6266.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
24Thunderbirds20200000414-1020200000414-100000000000000.00048120063635508164371971679624654200.00%30100.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
Total5044400101181371-190242220000090167-77262220010191204-113100.10018131950010636355020826437197167266979025411691231814.63%1063864.15%0895182449.07%699159043.96%493100049.30%10467401367331595276
25Wild1010000027-5000000000001010000027-500.0002350063635503364371971675623015300.00%000.00%0895182449.07%699159043.96%493100049.30%10467401367331595276
26Wolf Pack20200000417-131010000037-410100000110-900.000481200636355079643719716710025657400.00%3166.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
27Wolves1010000047-31010000047-30000000000000.0004812006363550196437197167491312194125.00%6266.67%0895182449.07%699159043.96%493100049.30%10467401367331595276
_Since Last GM Reset5044400101181371-190242220000090167-77262220010191204-113100.10018131950010636355020826437197167266979025411691231814.63%1063864.15%0895182449.07%699159043.96%493100049.30%10467401367331595276
_Vs Conference3022700001110227-11713112000005494-40171150000156133-7750.083110196306006363550117564371971671677492170701761013.16%672661.19%0895182449.07%699159043.96%493100049.30%10467401367331595276
_Vs Division130110000143104-61706000002650-24605000011754-3710.038437712000636355050664371971677472178727437410.81%311454.84%0895182449.07%699159043.96%493100049.30%10467401367331595276

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5010L518131950020822669790254116910
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
504440101181371
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24222000090167
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
26222010191204
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1231814.63%1063864.15%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
64371971676363550
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
895182449.07%699159043.96%493100049.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10467401367331595276


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 - 2020-10-0610Phantoms10Penguins2LSommaire du Match
3 - 2020-10-0720Penguins4Crunch14LSommaire du Match
7 - 2020-10-1144Sound Tigers7Penguins4LSommaire du Match
9 - 2020-10-1366Griffins4Penguins2LSommaire du Match
11 - 2020-10-1576Penguins3Americans8LSommaire du Match
13 - 2020-10-1793Monsters6Penguins2LSommaire du Match
15 - 2020-10-19109Penguins2Griffins8LSommaire du Match
17 - 2020-10-21123Penguins1Wolf Pack10LSommaire du Match
18 - 2020-10-22131Penguins5Checkers8LSommaire du Match
21 - 2020-10-25148Penguins2Crunch6LSommaire du Match
22 - 2020-10-26154Thunderbirds8Penguins4LSommaire du Match
25 - 2020-10-29177Rocket4Penguins2LSommaire du Match
26 - 2020-10-30187Penguins5Marlies8LSommaire du Match
28 - 2020-11-01202Penguins1Bruins4LSommaire du Match
30 - 2020-11-03213Phantoms9Penguins7LSommaire du Match
33 - 2020-11-06235Devils6Penguins4LSommaire du Match
34 - 2020-11-07245Penguins0Rocket6LSommaire du Match
37 - 2020-11-10266Rocket9Penguins5LSommaire du Match
39 - 2020-11-12280Penguins9Condors7WSommaire du Match
41 - 2020-11-14296Barracuda5Penguins3LSommaire du Match
43 - 2020-11-16309Penguins4Bruins5LXXSommaire du Match
46 - 2020-11-19328Wolf Pack7Penguins3LSommaire du Match
48 - 2020-11-21350Stars9Penguins5LSommaire du Match
49 - 2020-11-22359Penguins2Marlies7LSommaire du Match
52 - 2020-11-25378Penguins2Phantoms8LSommaire du Match
54 - 2020-11-27392Roadrunners6Penguins0LSommaire du Match
56 - 2020-11-29411Penguins4Admirals5LXSommaire du Match
58 - 2020-12-01422Heat10Penguins3LSommaire du Match
60 - 2020-12-03443Americans6Penguins4LSommaire du Match
62 - 2020-12-05455Penguins2Wild7LSommaire du Match
64 - 2020-12-07469Penguins4Devils8LSommaire du Match
66 - 2020-12-09477Penguins4IceHogs7LSommaire du Match
67 - 2020-12-10491Devils5Penguins4LSommaire du Match
70 - 2020-12-13508Penguins4Sound Tigers8LSommaire du Match
71 - 2020-12-14521Comets8Penguins10WSommaire du Match
74 - 2020-12-17541Penguins1Devils12LSommaire du Match
76 - 2020-12-19554Senators9Penguins5LSommaire du Match
78 - 2020-12-21566Penguins3Moose9LSommaire du Match
80 - 2020-12-23580Penguins13Comets6WSommaire du Match
81 - 2020-12-24588Thunderbirds6Penguins0LSommaire du Match
84 - 2020-12-27609Penguins5Crunch9LSommaire du Match
85 - 2020-12-28618Wolves7Penguins4LSommaire du Match
88 - 2020-12-31640Penguins3Stars10LSommaire du Match
89 - 2021-01-01650Admirals7Penguins3LSommaire du Match
92 - 2021-01-04673Condors3Penguins11WSommaire du Match
93 - 2021-01-05682Penguins3Griffins7LSommaire du Match
97 - 2021-01-09705Penguins0Americans6LSommaire du Match
98 - 2021-01-10711Eagles8Penguins1LSommaire du Match
101 - 2021-01-13733Penguins5Gulls11LSommaire du Match
102 - 2021-01-14741Moose8Penguins2LSommaire du Match
104 - 2021-01-16760Penguins-Reign-
106 - 2021-01-18771Gulls-Penguins-
109 - 2021-01-21790Penguins-Roadrunners-
111 - 2021-01-23800Penguins-Senators-
112 - 2021-01-24808Griffins-Penguins-
115 - 2021-01-27831Penguins-Checkers-
116 - 2021-01-28837Crunch-Penguins-
119 - 2021-01-31860Phantoms-Penguins-
122 - 2021-02-03881Penguins-Thunderbirds-
124 - 2021-02-05889Penguins-Rampage-
125 - 2021-02-06897Bears-Penguins-
127 - 2021-02-08913Penguins-Heat-
129 - 2021-02-10929Bears-Penguins-
133 - 2021-02-14953Penguins-Barracuda-
134 - 2021-02-15961Marlies-Penguins-
138 - 2021-02-19988Rampage-Penguins-
141 - 2021-02-221013Wild-Penguins-
142 - 2021-02-231019Penguins-Wolf Pack-
146 - 2021-02-271047IceHogs-Penguins-
148 - 2021-03-011062Penguins-Bears-
150 - 2021-03-031076Bruins-Penguins-
152 - 2021-03-051088Penguins-Eagles-
154 - 2021-03-071107Monsters-Penguins-
157 - 2021-03-101131Checkers-Penguins-
159 - 2021-03-121148Penguins-Wolves-
161 - 2021-03-141162Rampage-Penguins-
162 - 2021-03-151169Penguins-Senators-
167 - 2021-03-201198Reign-Penguins-
169 - 2021-03-221204Penguins-Monsters-
174 - 2021-03-271233Bruins-Penguins-
177 - 2021-03-301249Sound Tigers-Penguins-
179 - 2021-04-011259Penguins-Rocket-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
592,886$ 1,014,310$ 303,083$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 592,886$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 5,573$ 445,840$




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
Saison Régulière
28145300111326221745412513011011359639402017000121271216902624677290129289794255080789583627245771769714513808722.89%2714384.13%21181255246.28%1132267642.30%575130943.93%1898130119396121045523
3824428041232391885141191403113112971541251401010127913688239423662349485548279388896690747234565773513873566718.82%2874783.62%11707293758.12%1443266154.23%661121854.27%2128149517855871047549
482392203310526221547412380124313110031411614021621311151678262449711148789731827279238649069425047521320191457310317.98%5579882.41%51559310150.27%1417299347.34%617123849.84%2060139819176401033527
582225000226178308-1304114220021295141-46418280001483167-8444178307485126668425226773872178753315690950320772043718.14%2105673.33%1842243434.59%869285830.41%397124331.94%186613242111566985482
682294400522296324-2841152100311150159-941142300211146165-195829651280842122103696324810651058111427329796641120062073617.39%1806365.00%01625291255.80%1385283848.80%801134959.38%207415221898536981497
78249220132534023810241241400111163121424125801214177117609834058692626136106957353011231166122151290184945421672256328.00%2064677.67%61650333049.55%1332296644.91%660136548.35%216315841803537993515
882186001003321565-24441102701003171272-1014183300000150293-1433632150382400146977723808122912961272224447121422819121613018.63%1063765.09%01385302445.80%1167267443.64%724160745.05%178413152215530935432
882186001003321565-24441102701003171272-1014183300000150293-1433632150382400146977723808122912961272224447121422819121613018.63%1063765.09%01385302445.80%1167267443.64%724160745.05%178413152215530935432
95044400101181371-190242220000090167-77262220010191204-1131018131950010636355020826437197167266979025411691231814.63%1063864.15%0895182449.07%699159043.96%493100049.30%10467401367331595276
Total Saison Régulière70526836001116193124002991-591352142168071081712181425-207353126192046111411821566-38453824004069646912309527976215226813864589819031350282238068483015995239047119.71%202946577.08%15122292513848.65%106112393044.34%56521193647.35%168091199817253487185534237
Séries
315960000034340853000001919074300000151501834659910131083436142151128154771271352499199.89%53688.68%026155447.11%24854245.76%9521244.81%380257351119202104
451400000613-73120000047-32020000026-42610160003301463258560142457611234411.76%38781.58%06617038.82%7919640.31%196031.67%11474119426531
7514000001620-42020000079-231200000911-221628440077201825271518243865111518633.33%22577.27%07118438.59%8325532.55%328139.51%12186138366129
Total Séries251114000005667-111367000003035-51257000002632-62256103159102020133764226280235238622582624761431913.29%1131884.07%039890843.83%41099341.29%14635341.36%616418609198329165