Penguins
GP: 80 | W: 33 | L: 41 | OTL: 6 | P: 72
GF: 324 | GA: 370 | PP%: 23.27% | PK%: 76.65%
DG: Sylvain Leblanc | Morale : 29 | Moyenne d'Équipe : 64
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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
1Craig Smith (A)X100.007638757572717675717868707669643548720261900,000$
2Josh Jooris (R) (A)X100.007733707475727776707474666967663749710251800,000$
3Andy Andreoff (R)X100.009570716991589064666461636860574741690242500,000$
4Nick Schmaltz (R)X100.007046787165666566696968606341417742650191500,000$
5Max Gortz (R)X100.005233816956596270616169527245454430620221600,000$
6Iven Barbashev (R)X100.006141727168636261616963556941416241620191500,000$
7Curtis Hamilton (R)X100.005826786363686666586567446252523649610241500,000$
8Anthony Beauvillier (R)X100.006048705964596462686758576540407832600182500,000$
9Sam Kurker (R)X100.006740606372567367586066495343434723600211500,000$
10Raphael Bussieres (R)X100.006336686067585760555867516244454323590221500,000$
11Josh Ho-Sang (R)X100.005334656060616260495462315441416023540191500,000$
12Kurt SauerX100.006735797275736867567371735287771335710341500,000$
13Scott Mayfield (R)X100.008356736979657968586847675757544532700232900,000$
14Jordan Schmaltz (R)X100.006637797367737169527266796651465238700222725,000$
15Will Butcher (R)X100.006929848763627178408563695447426639700204900,000$
16Andrew O'Brien (R)X100.007359766371597354466658735149474551660231700,000$
17Dakota Mermis (R)X100.006137797565636160456564636247455849630214500,000$
Rayé
1Melker Karlsson (R) (C)X94.367336727575757368707574677068653734710251950,000$
2Chrstian Dvorak (R)X95.037242796561616763616067626841417036630191500,000$
3Antti Suomela (R)X100.007239636879627557596360486044456838600212500,000$
4Denis Malgin (R)X39.086438655651626363605257436540407621550182500,000$
5Brett Pollock (R)X100.005127685755605250515847574641416223530191500,000$
6Steven Spinner (R)X100.006152574866536849505154354441415723510191500,000$
7Danny Biega (R)X100.006136765964696361386851753850503123640241500,000$
8Matthew Finn (R)X100.005425716459595966356744654543434223590211600,000$
MOYENNE D'ÉQUIPE97.14664072676763686456666259605048523563
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
1Connor Hellebyuk100.00746973717169646973797651444449690
2Anthony Stolarz100.00747181556674726655776343434832660
Rayé
1Jason Missiaen100.00777369767570687674697955513523720
MOYENNE D'ÉQUIPE100.0075717467717168706775735046423569
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer67717386546362CAN431600,000$


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
1Will ButcherPenguins (Pit)D80197998-25360981452551091147.45%143207125.8982331392750113217400.00%06776000.9500000631
2Craig SmithPenguins (Pit)RW79365793-30661015010926610718113.53%52160720.351325384624211292561054.79%4915629011.1647002725
3Josh JoorisPenguins (Pit)RW80444286-20580140992789017315.83%36148618.581313264622001131704047.19%896924011.1629000562
4Melker KarlssonPenguins (Pit)C68265783-2186101051332025711312.87%39138020.30911203218311281353151.97%20013031011.2003101245
5Scott MayfieldPenguins (Pit)D78113647-221182015615398404111.22%122203826.144610222521121220020.00%01665000.4611021022
6Nick SchmaltzPenguins (Pit)RW76272047106081691844611114.67%1787711.551013180001102249.37%793220001.0713000151
7Andy AndreoffPenguins (Pit)LW75241741765515079152268715.79%40131517.5434716162101111523245.95%1111718000.6223010321
8Iven BarbashevPenguins (Pit)C67152641-3380717196347815.63%2591313.642810392000160145.13%7491911000.9000000005
9Jordan SchmaltzPenguins (Pit)D7063036-143407412111750475.13%64154922.13167152090003192000.00%02563000.4600000021
10Curtis HamiltonPenguins (Pit)LW78151530-4606251108248113.89%2089011.422022231012803148.00%50175000.6700000200
11Chrstian DvorakPenguins (Pit)LW72161026-112001077278264320.51%15112815.6824681870111281141.51%531019010.4600000101
12Antti SuomelaPenguins (Pit)C7810122203601065556113317.86%1081410.453365560001351043.68%380128000.5400000002
13Kurt SauerPenguins (Pit)D5741721-812061868133244.94%66106518.690557880000140010.00%02334000.3911000014
14Andrew O'BrienPenguins (Pit)D8031720-942101001056228274.84%87146518.3212381470001162010.00%0638000.2700002002
15Anthony BeauvillierPenguins (Pit)LW6891019-6220524653163016.98%1269210.190000100222711044.44%18810000.5500000003
16Max GortzPenguins (Pit)RW639918-740172074395412.16%84807.62000012000000142.59%54247000.7511000002
17Dakota MermisPenguins (Pit)D803912-86036673810227.89%5696612.0800028000048010.00%01023000.2500000001
18Raphael BussieresPenguins (Pit)LW28235860121094622.22%32027.24011000000210054.55%1134000.4900000010
19Danny BiegaPenguins (Pit)D26033-412092310040.00%2032012.3100006000015000.00%037000.1900000000
20Andreas MartinsenPenguinsLW1011-100120110.00%02323.3200003000050041.67%1200000.8600000000
21Denis MalginPenguins (Pit)C40011-3120371961110.00%23017.5500000000020041.09%12912000.0700000000
22Matthew FinnPenguins (Pit)D27011-28011162310.00%92479.1800003000019000.00%018000.0800000000
23Sam KurkerPenguins (Pit)RW15011-4407126330.00%2694.6300017000000047.62%6313000.2900000000
24Josh Ho-SangPenguins (Pit)RW15000020000000.00%1161.1300003000000025.00%400000.0000000000
25Brett PollockPenguins (Pit)LW14000000101000.00%0141.05000000000110050.00%200000.0000000000
26Steven SpinnerPenguins (Pit)RW11000000000000.00%030.270000000002000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1426279473752-17769955164415632232758128512.50%8492194515.396211117325522165813472007231449.29%4297450505040.691228136272838
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
1Connor HellebyukPenguins (Pit)67262560.8654.403570002621943984810.774316317300
2Jason MissiaenPenguins (Pit)135700.8714.726480051395206400.0000122000
3Anthony StolarzPenguins (Pit)182900.8295.006360053310136000.0000561000
Stats d'équipe Total ou en Moyenne98334160.8624.52485500366264813261210.774318080300


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 Salaire RestantCap 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
Andrew O'BrienPenguins (Pit)D231992-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Andy AndreoffPenguins (Pit)LW241991-01-01Yes203 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Anthony BeauvillierPenguins (Pit)LW181997-01-01Yes182 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Anthony StolarzPenguins (Pit)G211994-01-01No210 Lbs6 ft5NoNoNo1Pro & Farm650,000$0$0$No
Antti SuomelaPenguins (Pit)C211994-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brett PollockPenguins (Pit)LW191996-01-01Yes195 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Chrstian DvorakPenguins (Pit)LW191996-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Connor HellebyukPenguins (Pit)G221993-01-01No185 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Craig SmithPenguins (Pit)RW261989-01-01No202 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Curtis HamiltonPenguins (Pit)LW241991-01-01Yes212 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Dakota MermisPenguins (Pit)D211994-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm500,000$0$0$No700,000$900,000$1,100,000$
Danny BiegaPenguins (Pit)D241991-01-01Yes205 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Denis Malgin (Sur la Masse Salariale)Penguins (Pit)C181997-01-01Yes177 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$Yes500,000$
Iven BarbashevPenguins (Pit)C191996-01-01Yes187 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Jason MissiaenPenguins (Pit)G251990-01-01No198 Lbs6 ft8NoNoNo1Pro & Farm995,000$0$0$No
Jordan SchmaltzPenguins (Pit)D221993-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm725,000$0$0$No850,000$
Josh Ho-SangPenguins (Pit)RW191996-01-01Yes173 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Josh JoorisPenguins (Pit)RW251990-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Kurt SauerPenguins (Pit)D341981-01-01No222 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Matthew FinnPenguins (Pit)D211994-01-01Yes199 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Max GortzPenguins (Pit)RW221993-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Melker Karlsson (Sur la Masse Salariale)Penguins (Pit)C251990-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$Yes
Nick SchmaltzPenguins (Pit)RW191996-01-01Yes177 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Raphael BussieresPenguins (Pit)LW221993-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Sam KurkerPenguins (Pit)RW211994-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Scott MayfieldPenguins (Pit)D231992-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm900,000$0$0$No950,000$
Steven SpinnerPenguins (Pit)RW191996-01-01Yes202 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Will ButcherPenguins (Pit)D201995-01-01Yes185 Lbs5 ft10NoNoNo4Pro & Farm900,000$0$0$No1,500,000$2,250,000$2,750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2822.00194 Lbs6 ft11.50629,286$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffIven BarbashevCraig Smith40122
2Curtis HamiltonJosh Jooris30122
3Anthony BeauvillierMax GortzNick Schmaltz20122
4Raphael BussieresCraig SmithMax Gortz10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kurt SauerWill Butcher40122
2Scott MayfieldJordan Schmaltz30122
3Andrew O'BrienDakota Mermis20122
4Kurt SauerWill Butcher10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffIven BarbashevCraig Smith60122
2Curtis HamiltonJosh Jooris40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kurt SauerWill Butcher60122
2Scott MayfieldJordan Schmaltz40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Craig SmithJosh Jooris60122
2Andy AndreoffNick Schmaltz40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kurt SauerWill Butcher60122
2Scott MayfieldJordan Schmaltz40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Craig Smith60122Kurt SauerWill Butcher60122
2Josh Jooris40122Scott MayfieldJordan Schmaltz40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Craig SmithJosh Jooris60122
2Andy AndreoffNick Schmaltz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kurt SauerWill Butcher60122
2Scott MayfieldJordan Schmaltz40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andy AndreoffIven BarbashevCraig SmithKurt SauerWill Butcher
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andy AndreoffIven BarbashevCraig SmithKurt SauerWill Butcher
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sam Kurker, Josh Ho-Sang, Anthony BeauvillierSam Kurker, Josh Ho-SangAnthony Beauvillier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew O'Brien, Dakota Mermis, Scott MayfieldAndrew O'BrienDakota Mermis, Scott Mayfield
Tirs de Pénalité
Craig Smith, Josh Jooris, Andy Andreoff, Nick Schmaltz, Max Gortz
Gardien
#1 : Connor Hellebyuk, #2 : Anthony Stolarz


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
1Admirals20200000611-51010000025-31010000046-200.000610160077108129147183286981653602413447114.29%4175.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
2Barracuda2000010179-21000000156-11000010023-120.500710170077108129146083286981653642618397114.29%9277.78%0892180349.47%893182548.93%717139951.25%168392016967631479738
3Bears422000001819-121100000101002110000089-140.5001829470077108129141348328698165312332319615213.33%13376.92%1892180349.47%893182548.93%717139951.25%168392016967631479738
4Checkers623000102733-63110001015150312000001218-660.50027457200771081291421083286981653186545613026726.92%231056.52%0892180349.47%893182548.93%717139951.25%168392016967631479738
5Comets300012001819-11000010056-1200011001313040.66718314900771081291499832869816531143424578112.50%12283.33%0892180349.47%893182548.93%717139951.25%168392016967631479738
6Condors21100000711-41010000049-51100000032120.500712190077108129145783286981653753115508225.00%6183.33%0892180349.47%893182548.93%717139951.25%168392016967631479738
7Crunch31200000812-4110000005322020000039-620.3338142200771081291481832869816531054130667228.57%15380.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
8Devils4100002120182210000101082200000111010070.87520315100771081291412883286981653151403010415746.67%15660.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
9Eagles614010002432-8302010001216-4312000001216-440.33324416500771081291419983286981653210588010716425.00%401172.50%0892180349.47%893182548.93%717139951.25%168392016967631479738
10Griffins2020000048-41010000013-21010000035-200.00047111077108129145883286981653591916539111.11%8362.50%0892180349.47%893182548.93%717139951.25%168392016967631479738
11Heat623010002628-23110100013130312000001315-260.50026406600771081291419183286981653211854312727518.52%16475.00%1892180349.47%893182548.93%717139951.25%168392016967631479738
12IceHogs20200000412-81010000024-21010000028-600.000481200771081291464832869816536117849700.00%4175.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
13Influenza2110000011831010000045-11100000073420.50011182900771081291460832869816536525243014750.00%120100.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
14Little Stars31200000121201100000052320200000710-320.3331219310077108129149683286981653963645739222.22%20670.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
15Monsters2020000068-21010000056-11010000012-100.0006814007710812914568328698165354282644600.00%13376.92%0892180349.47%893182548.93%717139951.25%168392016967631479738
16Moose2010001067-1100000103211010000035-220.5006814007710812914628328698165360191247400.00%60100.00%1892180349.47%893182548.93%717139951.25%168392016967631479738
17Phantoms321000001313011000000321211000001011-140.66713193200771081291493832869816531073620699111.11%10190.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
18Punishers30300000517-122020000049-51010000018-700.0005914007710812914105832869816531142928518112.50%14471.43%0892180349.47%893182548.93%717139951.25%168392016967631479738
19Rampage31100010131122100001011651010000025-340.66713223500771081291492832869816539227347225936.00%17382.35%0892180349.47%893182548.93%717139951.25%168392016967631479738
20Reign3210000011101211000008801100000032140.66711193000771081291486832869816538836376419421.05%16381.25%0892180349.47%893182548.93%717139951.25%168392016967631479738
21Rocket210000101266100000106511100000061541.00012172900771081291461832869816535712295014428.57%12283.33%0892180349.47%893182548.93%717139951.25%168392016967631479738
22Senators312000001418-4211000001012-21010000046-220.333142438007710812914102832869816531024224739111.11%12283.33%2892180349.47%893182548.93%717139951.25%168392016967631479738
23Sound Tigers32000001197122100000112571100000072550.833193554007710812914104832869816537738287518633.33%9277.78%1892180349.47%893182548.93%717139951.25%168392016967631479738
24Thunderbirds312000001013-31010000047-32110000066020.3331016260077108129148583286981653101262066900.00%10370.00%0892180349.47%893182548.93%717139951.25%168392016967631479738
25Wolfpack614010002328-5312000001316-3302010001012-240.33323365900771081291418783286981653217873612722627.27%18288.89%0892180349.47%893182548.93%717139951.25%168392016967631479738
Total80234104363324370-4640121802152172183-1140112302211152187-35720.450324528852107710812914254183286981653264990272717633187423.27%3347876.65%6892180349.47%893182548.93%717139951.25%168392016967631479738
_Since Last GM Reset80234104363324370-4640121802152172183-1140112302211152187-35720.450324528852107710812914254183286981653264990272717633187423.27%3347876.65%6892180349.47%893182548.93%717139951.25%168392016967631479738
_Vs Conference49122604241200241-412481002130107113-6254160211193128-35430.439200328528007710812914157583286981653169955945010531814524.86%2125673.58%3892180349.47%893182548.93%717139951.25%168392016967631479738
_Vs Division2461403010100121-211236020105360-71238010004761-14200.41710016226200771081291478783286981653824284215491912224.18%972772.16%1892180349.47%893182548.93%717139951.25%168392016967631479738

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8072L232452885225412649902727176310
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8023414363324370
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4012182152172183
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4011232211152187
Derniers 10 Matchs
WLOTWOTL SOWSOL
341101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3187423.27%3347876.65%6
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
832869816537710812914
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
892180349.47%893182548.93%717139951.25%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
168392016967631479738


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
3 - 2020-10-1114Checkers4Penguins5WSommaire du Match
4 - 2020-10-1224Penguins3Checkers8LSommaire du Match
7 - 2020-10-1538Eagles6Penguins4LSommaire du Match
10 - 2020-10-1851Penguins0Wolfpack2LSommaire du Match
12 - 2020-10-2062Heat4Penguins5WXSommaire du Match
14 - 2020-10-2273Penguins4Heat5LSommaire du Match
16 - 2020-10-2487Wolfpack6Penguins4LSommaire du Match
19 - 2020-10-27105Bears7Penguins3LSommaire du Match
21 - 2020-10-29116Penguins1Bears5LSommaire du Match
22 - 2020-10-30121Penguins4Eagles6LSommaire du Match
26 - 2020-11-03143Devils2Penguins3WXXSommaire du Match
28 - 2020-11-05150Penguins5Little Stars7LSommaire du Match
30 - 2020-11-07163Punishers4Penguins2LSommaire du Match
33 - 2020-11-10177Penguins8Comets7WXSommaire du Match
35 - 2020-11-12191Penguins4Phantoms8LSommaire du Match
37 - 2020-11-14200Eagles6Penguins3LSommaire du Match
39 - 2020-11-16214Penguins4Admirals6LSommaire du Match
41 - 2020-11-18222Sound Tigers1Penguins9WSommaire du Match
44 - 2020-11-21242Rampage4Penguins5WXXR3Sommaire du Match
48 - 2020-11-25259Penguins7Bears4WSommaire du Match
50 - 2020-11-27272Comets6Penguins5LXSommaire du Match
52 - 2020-11-29283Penguins3Heat2WSommaire du Match
55 - 2020-12-02297Eagles4Penguins5WXSommaire du Match
58 - 2020-12-05313Penguins3Griffins5LSommaire du Match
60 - 2020-12-07322Crunch3Penguins5WSommaire du Match
63 - 2020-12-10338Penguins3Thunderbirds2WSommaire du Match
65 - 2020-12-12348Thunderbirds7Penguins4LSommaire du Match
69 - 2020-12-16369Penguins2Little Stars3LSommaire du Match
71 - 2020-12-18378Senators6Penguins2LSommaire du Match
74 - 2020-12-21392Penguins1Crunch5LSommaire du Match
76 - 2020-12-23402Punishers5Penguins2LSommaire du Match
78 - 2020-12-25416Penguins5Eagles2WSommaire du Match
80 - 2020-12-27424Admirals5Penguins2LSommaire du Match
83 - 2020-12-30443Penguins2IceHogs8LSommaire du Match
85 - 2021-01-01450Penguins3Moose5LSommaire du Match
87 - 2021-01-03459Condors9Penguins4LSommaire du Match
90 - 2021-01-06478Bears3Penguins7WSommaire du Match
92 - 2021-01-08487Penguins6Phantoms3WSommaire du Match
94 - 2021-01-10500Penguins3Devils4LXXSommaire du Match
96 - 2021-01-12510Influenza5Penguins4LSommaire du Match
102 - 2021-01-18532Senators6Penguins8WSommaire du Match
106 - 2021-01-22553Penguins7Influenza3WSommaire du Match
108 - 2021-01-24558Checkers8Penguins6LSommaire du Match
110 - 2021-01-26572Penguins7Sound Tigers2WSommaire du Match
112 - 2021-01-28584Devils6Penguins7WSommaire du Match
115 - 2021-01-31606Penguins5Wolfpack6LSommaire du Match
116 - 2021-02-01609Rampage2Penguins6WR3Sommaire du Match
121 - 2021-02-06631Wolfpack9Penguins7LSommaire du Match
123 - 2021-02-08643Penguins5Comets6LXSommaire du Match
125 - 2021-02-10658Wolfpack1Penguins2WSommaire du Match
127 - 2021-02-12668Penguins1Monsters2LR1Sommaire du Match
131 - 2021-02-16685Sound Tigers4Penguins3LXXSommaire du Match
134 - 2021-02-19699Penguins2Rampage5LR3Sommaire du Match
136 - 2021-02-21709Heat4Penguins5WSommaire du Match
137 - 2021-02-22718Penguins6Heat8LSommaire du Match
140 - 2021-02-25735Penguins1Punishers8LSommaire du Match
142 - 2021-02-27741Moose2Penguins3WXXSommaire du Match
145 - 2021-03-02755Penguins2Crunch4LSommaire du Match
147 - 2021-03-04765Monsters6Penguins5LR1Sommaire du Match
150 - 2021-03-07781Penguins3Thunderbirds4LSommaire du Match
152 - 2021-03-09790Heat5Penguins3LSommaire du Match
157 - 2021-03-14809Penguins7Devils6WXXSommaire du Match
158 - 2021-03-15819IceHogs4Penguins2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19837Penguins6Rocket1WSommaire du Match
163 - 2021-03-20845Phantoms2Penguins3WSommaire du Match
168 - 2021-03-25864Reign2Penguins6WR1Sommaire du Match
170 - 2021-03-27879Penguins3Condors2WSommaire du Match
173 - 2021-03-30891Checkers3Penguins4WXXSommaire du Match
175 - 2021-04-01901Penguins4Senators6LSommaire du Match
178 - 2021-04-04917Rocket5Penguins6WXXSommaire du Match
183 - 2021-04-09940Griffins3Penguins1LSommaire du Match
185 - 2021-04-11947Penguins2Barracuda3LXSommaire du Match
188 - 2021-04-14966Little Stars2Penguins5WSommaire du Match
190 - 2021-04-16973Penguins8Checkers6WSommaire du Match
191 - 2021-04-17979Penguins3Reign2WR1Sommaire du Match
194 - 2021-04-20993Barracuda6Penguins5LXXSommaire du Match
196 - 2021-04-221005Penguins3Eagles8LSommaire du Match
198 - 2021-04-241018Penguins5Wolfpack4WXSommaire du Match
199 - 2021-04-251021Penguins1Checkers4LSommaire du Match
204 - 2021-04-301038Reign6Penguins2LR1Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance53,49327,214
Assistance PCT66.87%68.04%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2018 - 67.26% 70,455$2,818,200$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,448,928$ 1,712,000$ 1,637,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
7,888$ 1,830,914$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,278$ 0$




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