Penguins

GP: 76 | W: 39 | L: 27 | OTL: 10 | P: 88
GF: 182 | GA: 142 | PP%: 11.11% | PK%: 89.09%
DG: Maxime Roy | Morale : 52 | Moyenne d'Équipe : 62
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Denis GurianovX100.006435946579817263626461625763628571630
2Kenny AgostinoX100.008243836374787362526459636173675377630
3Brendan LemieuxX100.008078626680657664526163596267647877620
4Aleksi SaarelaX100.005235936361939162635863556365626334610
5Matthew PecaX100.005836946468676262736057685871664771610
6Robby FabbriXX100.006239826668705964716362586065648176610
7Valentin ZykovXX100.007040786478665963526162586567647469610
8Karson KuhlmanX100.005435946269826961576062635867655270610
9Pierre Engvall (R)XX100.006739835885939156595457595765636272610
10Ian McCoshenX100.007739846087796459306358654867647677640
11Jonas SiegenthalerX100.007439836085806359306653694663627069640
12Tommy CrossX100.006939815784949356305952585178696231640
13Connor CarrickX100.006643776471755963307362615869665579630
14Kurtis MacDermidX100.007348685996776758305752635169655162630
15Dillon SimpsonX100.006736925481949553305652585172665941630
16Darren RaddyshX100.006137885674959655305652574665636240620
17Jack DoughertyX100.006437875680918655305452565165636234610
18Brendan GuhleX100.006337886079846759306154584663627276610
19Connor HobbsX100.006242745677918755305651584563626371610
20Lucas Carlsson (R)X100.005937885872939157305853554763626338610
Rayé
1Andrew MangiapaneX100.005839906467726462556163586466645620600
2Anthony AngelloX100.006939835786928956585456595665636220600
3Adam Mascherin (R)X100.005036905961949558635855525761636419590
4Dylan Gambrell (R)X100.005936925774786756655958625665636720590
5Rhett Gardner (R)X100.007136905885716857535260595565636219590
6Rourke ChartierX100.006135935970716257725858595465635420580
7Nicolas Aube-KubelX100.005638865870766856555757595465637219580
8Kristian Vesalainen (R)X100.006336925985696158545956575960628319580
9Shane Gersich (R)X100.005239825767939056635552545165635619580
10Cliff Pu (R)X100.006235945378908552565351545261637219570
11Lukas Jasek (R)X100.005036905754928956625753525563626319570
12Paul BittnerX100.005730725676606854625354555263587219550
13Nic PetanX100.005035935465605054585554515467657219530
14Jordan SubbanX100.005637885965888257305852565367646219600
15Ben GleasonX100.005536926074867259306253564661635420600
16Jake WalmanX100.005638855472939253305252554865635619590
17Riley Stillman (R)X100.006338845877816957305553564561636019590
18Sergei BoikovX100.006436765778777356305452535163646820580
19Jeff TaylorX100.005238845458847853305351524569656019560
MOYENNE D'ÉQUIPE100.00623985597581755847585658546664644160
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
1Alex Nedeljkovic100.00807068727978807978807965697865740
2Merrick Madsen (R)100.00776866857675777675777667715276730
Rayé
1Mikhail Berdin (R)100.00787270737776787776787761655320720
2Dylan Wells (R)100.00766866787574767574767561655320710
3Michael McNiven100.00747371807372747372747363676620700
4Nick Schneider (R)100.00756866747473757473757463675319700
5Brandon Halverson100.00717068887069717069717065695320690
6Zachary Fucale100.00716563787069717069717067715219680
7Ken Appleby100.00706664886968706968706967715219680
8Colton Point (R)100.00656563936463656463656461657319650
MOYENNE D'ÉQUIPE100.0074696781737274737274736468593070
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe68617162595587CAN3841,200,000$


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
1Matthew PecaPenguins (Pit)C76172744146020164177451119.60%7118415.592911331940008884258.72%109000000.7400000464
2Denis GurianovPenguins (Pit)RW761825431320036126211601468.53%16167722.0826841299213102811251.02%58800010.51211000712
3Jonas SiegenthalerPenguins (Pit)D7311314214136201195680364513.75%95166922.878917582850000300300.00%000000.5000002324
4Kenny AgostinoPenguins (Pit)LW76161935573513875171531209.36%12156320.5747114327710173793247.14%14000000.45312001125
5Karson KuhlmanPenguins (Pit)C761420341700196160471378.75%8109814.4523516157000002050.51%108500000.6201000032
6Brendan LemieuxPenguins (Pit)LW76102131191451518369161451186.21%7122716.151451412602221682360.00%6000000.5113201323
7Connor CarrickPenguins (Pit)D76228301861572575919403.39%40125016.46044391300220170000.00%100000.4800001021
8Aleksi SaarelaPenguins (Pit)LW381012221280165882216612.20%479320.8911211970000313150.89%39300000.5500000113
9Warren FoegelePittsburgh PenguinsLW/RW388132195401018610525767.62%586222.694262614600011962147.73%46300000.4905000125
10Ian McCoshenPenguins (Pit)D766131929915119647719517.79%74164321.636511542820000321300.00%000000.2300200121
11Connor HobbsPenguins (Pit)D752171921771575191781011.76%3576410.2000014000169000.00%000000.5000111120
12Pierre EngvallPenguins (Pit)LW/RW76514191940083558526525.88%11108514.2800012400021392050.26%19500000.3512000104
13Robby FabbriPenguins (Pit)C/LW761441811602978104257813.46%678710.3600026000160460.00%47000000.4600000063
14Kurtis MacDermidPenguins (Pit)D7641317-712725136396615406.06%68155020.413710392620000291100.00%000000.2200131010
15Valentin ZykovPenguins (Pit)LW/RW766915628054288718586.90%45156.78011411000001036.36%2200000.5800000101
16Tommy CrossPenguins (Pit)D42211131140058274310304.65%2999323.66268311690110183100.00%000000.2600000101
17Brendan GuhlePenguins (Pit)D764711132203523133830.77%306498.55000080000105000.00%000010.3400000200
18Lucas CarlssonPenguins (Pit)D38178812011462416.67%62205.790000000000100.00%000000.7300000010
19Dillon SimpsonPenguins (Pit)D38325201002612611250.00%1539810.500000000000000.00%000000.2500000100
20Andrew MangiapanePenguins (Pit)LW38134040515299313.45%13017.93000000001120041.67%1200000.2700000000
21Jack DoughertyPenguins (Pit)D38000100111010.00%1330.870001100000000100.00%100000.0000000000
22Darren RaddyshPenguins (Pit)D38000000210000.00%1210.5700000000020000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne136815429645022696810013201153174048712348.85%4752029214.833564994142495369332770291553.21%452000020.44734647283339
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
1Alex NedeljkovicPenguins (Pit)763927100.9211.7546014613417060100.76939760755
2Mike McKennaPittsburgh Penguins50301640.9191.763036478911000110.82128500242
3Merrick MadsenPenguins (Pit)10000.9093.0020001110000.0000076000
Stats d'équipe Total ou en Moyenne1276943140.9201.76765881322428170210.7916712676997


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
Adam MascherinPenguins (Pit)LW211998-06-06Yes200 Lbs5 ft1NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Aleksi SaarelaPenguins (Pit)LW221997-01-07No198 Lbs5 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Alex NedeljkovicPenguins (Pit)G231996-01-07No189 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Andrew MangiapanePenguins (Pit)LW231996-04-04No184 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Anthony AngelloPenguins (Pit)RW231996-03-06No197 Lbs6 ft4NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Ben GleasonPenguins (Pit)D211998-03-25No185 Lbs6 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Brandon HalversonPenguins (Pit)G231996-03-29No210 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brendan GuhlePenguins (Pit)D211997-07-29No196 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Brendan LemieuxPenguins (Pit)LW231996-03-15No215 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Cliff PuPenguins (Pit)RW211998-06-03Yes187 Lbs6 ft2NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Colton PointPenguins (Pit)G211998-03-04Yes235 Lbs6 ft4NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Connor CarrickPenguins (Pit)D251994-04-13No192 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Connor HobbsPenguins (Pit)D221997-01-04No197 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Darren RaddyshPenguins (Pit)D231996-02-28No200 Lbs6 ft0NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Denis GurianovPenguins (Pit)RW221997-06-07No195 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Dillon SimpsonPenguins (Pit)D261993-02-10No204 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Dylan GambrellPenguins (Pit)C221996-08-26Yes195 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Dylan WellsPenguins (Pit)G211998-01-03Yes190 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Ian McCoshenPenguins (Pit)D231995-08-05No217 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jack DoughertyPenguins (Pit)D231996-05-25No196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jake WalmanPenguins (Pit)D231996-02-20No170 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Jeff TaylorPenguins (Pit)D251994-04-13No181 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Jonas SiegenthalerPenguins (Pit)D221997-05-06No206 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Jordan SubbanPenguins (Pit)D241995-03-03No178 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Karson KuhlmanPenguins (Pit)C231995-09-26No185 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Ken ApplebyPenguins (Pit)G241995-04-10No210 Lbs6 ft4NoNoNo1Pro & Farm300,000$0$0$NoLien
Kenny AgostinoPenguins (Pit)LW271992-04-30No199 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Kristian VesalainenPenguins (Pit)LW201999-06-01Yes207 Lbs6 ft3NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Kurtis MacDermidPenguins (Pit)D251994-03-25No233 Lbs6 ft5NoNoNo1Pro & Farm300,000$0$0$NoLien
Lucas CarlssonPenguins (Pit)D211997-07-05Yes189 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Lukas JasekPenguins (Pit)RW211997-08-28Yes165 Lbs5 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Matthew PecaPenguins (Pit)C261993-04-27No182 Lbs5 ft9NoNoNo1Pro & Farm300,000$0$0$NoLien
Merrick MadsenPenguins (Pit)G231995-08-22Yes177 Lbs6 ft5NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Michael McNivenPenguins (Pit)G211997-07-09No214 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Mikhail BerdinPenguins (Pit)G211998-03-01Yes163 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLien
Nic PetanPenguins (Pit)C241995-03-22No179 Lbs5 ft9NoNoNo1Pro & Farm900,000$0$0$NoLien
Nick SchneiderPenguins (Pit)G211997-07-31Yes170 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Nicolas Aube-KubelPenguins (Pit)RW231996-05-10No187 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Paul BittnerPenguins (Pit)LW221996-11-04No214 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Pierre EngvallPenguins (Pit)LW/RW231996-05-31Yes191 Lbs6 ft4NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Rhett GardnerPenguins (Pit)C231996-02-28Yes210 Lbs6 ft3NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Riley StillmanPenguins (Pit)D211998-03-09Yes196 Lbs6 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Robby FabbriPenguins (Pit)C/LW231996-01-22No190 Lbs5 ft10NoNoNo1Pro & Farm300,000$0$0$NoLien
Rourke ChartierPenguins (Pit)C231996-04-03No190 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Sergei BoikovPenguins (Pit)D231996-01-24No195 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Shane GersichPenguins (Pit)LW221996-07-10Yes175 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Tommy CrossPenguins (Pit)D291989-09-12No205 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Valentin ZykovPenguins (Pit)LW/RW241995-05-15No220 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Zachary FucalePenguins (Pit)G241995-05-28No187 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4922.86195 Lbs6 ft02.67428,571$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kenny AgostinoAleksi SaarelaDenis Gurianov40122
2Brendan LemieuxKarson KuhlmanRobby Fabbri30122
3Aleksi SaarelaMatthew PecaPierre Engvall20122
4Valentin ZykovRobby FabbriDenis Gurianov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy CrossJonas Siegenthaler40122
2Ian McCoshenKurtis MacDermid30122
3Connor CarrickDillon Simpson20122
4Lucas CarlssonConnor Hobbs10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kenny AgostinoAleksi SaarelaDenis Gurianov60122
2Brendan LemieuxKarson KuhlmanMatthew Peca40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy CrossJonas Siegenthaler60122
2Ian McCoshenKurtis MacDermid40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovKenny Agostino60122
2Pierre EngvallBrendan Lemieux40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy CrossJonas Siegenthaler60122
2Ian McCoshenKurtis MacDermid40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Denis Gurianov60122Tommy CrossJonas Siegenthaler60122
2Kenny Agostino40122Ian McCoshenKurtis MacDermid40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovKenny Agostino60122
2Aleksi SaarelaBrendan Lemieux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tommy CrossJonas Siegenthaler60122
2Ian McCoshenKurtis MacDermid40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kenny AgostinoBrendan LemieuxDenis GurianovTommy CrossJonas Siegenthaler
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kenny AgostinoBrendan LemieuxDenis GurianovTommy CrossJonas Siegenthaler
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Aleksi Saarela, Pierre Engvall, Matthew PecaAleksi Saarela, Pierre EngvallMatthew Peca
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Dougherty, Brendan Guhle, Darren RaddyshJack DoughertyBrendan Guhle, Darren Raddysh
Tirs de Pénalité
Denis Gurianov, Kenny Agostino, Pierre Engvall, Brendan Lemieux, Karson Kuhlman
Gardien
#1 : Alex Nedeljkovic, #2 : Merrick Madsen


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
1Admirals21100000330110000003211010000001-120.50035800665652103962067565659512224351119.09%110100.00%01331240655.32%1225228253.68%550100554.73%202514431691536912475
2Americans2020000026-41010000024-21010000002-200.0002350066565210406206756565959183537600.00%14192.86%01331240655.32%1225228253.68%550100554.73%202514431691536912475
3Bears1244002202021-1632000101110161200210911-2140.583203454006656521033662067565659315881812265435.56%82791.46%01331240655.32%1225228253.68%550100554.73%202514431691536912475
4Bruins62301000121203120000056-13110100076160.500122133006656521015362067565659137278113230620.00%31390.32%01331240655.32%1225228253.68%550100554.73%202514431691536912475
5Checkers44000000216152200000012392200000093681.0002137580166565210169620675656597612307616318.75%130100.00%11331240655.32%1225228253.68%550100554.73%202514431691536912475
6Comets22000000817110000005141100000030341.0008142201665652104162067565659491124278112.50%11190.91%01331240655.32%1225228253.68%550100554.73%202514431691536912475
7Crunch2020000025-31010000013-21010000012-100.00022400665652104262067565659391026306116.67%13284.62%01331240655.32%1225228253.68%550100554.73%202514431691536912475
8Devils4210000178-1210000015412110000024-250.6257132000665652109962067565659933242742428.33%18383.33%01331240655.32%1225228253.68%550100554.73%202514431691536912475
9Griffins22000000826110000004131100000041341.0008142200665652106662067565659421524395240.00%120100.00%01331240655.32%1225228253.68%550100554.73%202514431691536912475
10IceHogs2200000012111110000006151100000060641.00012223401665652107562067565659231014547228.57%6183.33%01331240655.32%1225228253.68%550100554.73%202514431691536912475
11Marlies2200000014113110000006061100000081741.00014274101665652101026206756565927912398112.50%40100.00%01331240655.32%1225228253.68%550100554.73%202514431691536912475
12Monsters41200001811-32010000135-22110000056-130.375815230066565210846206756565910834697420210.00%26484.62%11331240655.32%1225228253.68%550100554.73%202514431691536912475
13Phantoms12520101332221062001003161156320001016115170.70832589000665652102976206756565924470181241761013.16%721086.11%11331240655.32%1225228253.68%550100554.73%202514431691536912475
14Sound Tigers804010211214-2401010207524030000159-470.438121830006656521016562067565659162481351353126.45%54787.04%01331240655.32%1225228253.68%550100554.73%202514431691536912475
15Thunderbirds623001001014-43110010067-13120000047-350.417101828006656521014562067565659159419812020210.00%38489.47%01331240655.32%1225228253.68%550100554.73%202514431691536912475
Total76312703357182142403816110213597722538151601222857015880.57918232350505665652101973620675656591717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475
17Wolf Pack623000011115-43120000059-43110000166050.41711223301665652101206206756565913339801362913.45%35585.71%01331240655.32%1225228253.68%550100554.73%202514431691536912475
_Since Last GM Reset76312703357182142403816110213597722538151601222857015880.57918232350505665652101973620675656591717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475
_Vs Conference54162103257104108-42789020355353027812012225155-4570.5281041832870166565210129662067565659123134879510482702710.00%3314187.61%21331240655.32%1225228253.68%550100554.73%202514431691536912475
_Vs Division504600220111971425330001059471225130021052502140.14011119730802665652101270620675656591131323718962250239.20%3003688.00%31331240655.32%1225228253.68%550100554.73%202514431691536912475

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7688W1182323505197317174861056147505
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7631273357182142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
38161121359772
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
38151612228570
Derniers 10 Matchs
WLOTWOTL SOWSOL
520111
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3513911.11%4404889.09%3
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
6206756565966565210
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
1331240655.32%1225228253.68%550100554.73%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
202514431691536912475


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
4 - 2019-09-0514Thunderbirds2Penguins1LSommaire du Match
9 - 2019-09-1032Penguins3Monsters2WSommaire du Match
11 - 2019-09-1247Penguins2Monsters4LSommaire du Match
15 - 2019-09-1666Bears1Penguins2WSommaire du Match
17 - 2019-09-1873Penguins3Phantoms4LSommaire du Match
18 - 2019-09-1989Phantoms1Penguins5WSommaire du Match
24 - 2019-09-25109Bears1Penguins2WXXSommaire du Match
25 - 2019-09-26118Penguins2Bears3LSommaire du Match
31 - 2019-10-02143Wolf Pack1Penguins3WSommaire du Match
32 - 2019-10-03161Wolf Pack3Penguins0LSommaire du Match
33 - 2019-10-04167Penguins1Sound Tigers2LSommaire du Match
38 - 2019-10-09184Penguins1Bruins2LSommaire du Match
39 - 2019-10-10193Penguins0Wolf Pack2LSommaire du Match
40 - 2019-10-11206Penguins2Bruins1WSommaire du Match
43 - 2019-10-14214Penguins2Thunderbirds4LSommaire du Match
45 - 2019-10-16228Checkers2Penguins5WSommaire du Match
46 - 2019-10-17243Checkers1Penguins7WSommaire du Match
52 - 2019-10-23269Penguins2Thunderbirds1WSommaire du Match
53 - 2019-10-24282Bears4Penguins2LSommaire du Match
54 - 2019-10-25292Bruins1Penguins3WSommaire du Match
57 - 2019-10-28300Penguins3Bears2WSommaire du Match
59 - 2019-10-30312Penguins0Americans2LSommaire du Match
60 - 2019-10-31320Penguins8Marlies1WSommaire du Match
66 - 2019-11-06354Monsters3Penguins2LSommaire du Match
67 - 2019-11-07362Sound Tigers1Penguins2WXSommaire du Match
68 - 2019-11-08379Penguins0Bears1LSommaire du Match
71 - 2019-11-11385Penguins0Thunderbirds2LSommaire du Match
74 - 2019-11-14409Phantoms4Penguins3LXXSommaire du Match
75 - 2019-11-15416Penguins2Sound Tigers3LXXSommaire du Match
78 - 2019-11-18428Sound Tigers1Penguins0LSommaire du Match
80 - 2019-11-20434Penguins2Bears1WXXSommaire du Match
81 - 2019-11-21457Penguins1Crunch2LSommaire du Match
85 - 2019-11-25467Phantoms1Penguins0LXXSommaire du Match
87 - 2019-11-27479Bears1Penguins2WSommaire du Match
88 - 2019-11-28494Penguins1Phantoms2LSommaire du Match
90 - 2019-11-30508Penguins2Devils1WSommaire du Match
94 - 2019-12-04522Griffins1Penguins4WSommaire du Match
95 - 2019-12-05539Admirals2Penguins3WSommaire du Match
101 - 2019-12-11561Penguins5Checkers0WSommaire du Match
102 - 2019-12-12575Penguins4Checkers3WSommaire du Match
108 - 2019-12-18608Americans4Penguins2LSommaire du Match
109 - 2019-12-19624Bears1Penguins2WSommaire du Match
111 - 2019-12-21638Phantoms2Penguins5WSommaire du Match
113 - 2019-12-23645Penguins0Sound Tigers1LSommaire du Match
116 - 2019-12-26679Penguins0Devils3LSommaire du Match
122 - 2020-01-01688Monsters2Penguins1LXXSommaire du Match
123 - 2020-01-02703Sound Tigers1Penguins2WXXSommaire du Match
127 - 2020-01-06720Penguins6IceHogs0WSommaire du Match
129 - 2020-01-08728Penguins0Admirals1LSommaire du Match
130 - 2020-01-09738Penguins4Griffins1WSommaire du Match
134 - 2020-01-13762Penguins1Bears2LXSommaire du Match
137 - 2020-01-16787Comets1Penguins5WSommaire du Match
138 - 2020-01-17793Penguins3Wolf Pack4LXXSommaire du Match
143 - 2020-01-22822Bears2Penguins1LSommaire du Match
145 - 2020-01-24843IceHogs1Penguins6WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29861Penguins4Bruins3WXSommaire du Match
151 - 2020-01-30876Penguins3Wolf Pack0WSommaire du Match
155 - 2020-02-03892Phantoms1Penguins2WXSommaire du Match
157 - 2020-02-05903Wolf Pack5Penguins2LSommaire du Match
158 - 2020-02-06915Crunch3Penguins1LSommaire du Match
162 - 2020-02-10937Penguins2Phantoms1WXXSommaire du Match
165 - 2020-02-13962Bruins2Penguins1LSommaire du Match
166 - 2020-02-14968Marlies0Penguins6WSommaire du Match
168 - 2020-02-16972Penguins1Bears2LXSommaire du Match
171 - 2020-02-19985Phantoms2Penguins1LXXSommaire du Match
172 - 2020-02-20999Penguins4Phantoms1WSommaire du Match
173 - 2020-02-211010Thunderbirds3Penguins2LXSommaire du Match
176 - 2020-02-241020Bruins3Penguins1LSommaire du Match
179 - 2020-02-271047Thunderbirds2Penguins3WSommaire du Match
182 - 2020-03-011058Penguins2Sound Tigers3LSommaire du Match
185 - 2020-03-041076Devils3Penguins2LXXSommaire du Match
186 - 2020-03-051092Penguins4Phantoms2WSommaire du Match
187 - 2020-03-061100Penguins2Phantoms1WSommaire du Match
192 - 2020-03-111116Penguins3Comets0WSommaire du Match
193 - 2020-03-121134Sound Tigers2Penguins3WXXSommaire du Match
194 - 2020-03-131144Devils1Penguins3WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,421,323$ 210,000$ 37,380$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 221,338$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 7,268$ 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
14763127033571821424038161102135977225381516012228570158818232350505665652101973620675656591717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475
Total Saison Régulière763127033571821424038161102135977225381516012228570158818232350505665652101973620675656591717486105614753513911.11%4404889.09%31331240655.32%1225228253.68%550100554.73%202514431691536912475