Penguins

GP: 5 | W: 2 | L: 3 | OTL: 0 | P: 4
GF: 11 | GA: 13 | PP%: 16.67% | PK%: 88.46%
DG: Maxime Roy | Morale : 49 | Moyenne d'Équipe : 62
Prochain matchs #89 vs Phantoms
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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
1Warren FoegeleXX100.008237876480739062566163656465666250640
2Kenny AgostinoX100.008243836374787362526459636173675350630
3Denis GurianovX100.006435946579817263626461625763628550620
4Brendan LemieuxX100.008078626680657664526163596267647850620
5William CarrierXX100.009845786383656762546164596269666750620
6Blake PietilaXX100.006838866272826761706058655671666350610
7Matthew PecaX100.005836946468676262736057685871664750610
8Robby FabbriXX100.006239826668705964716362586065648150610
9Karson KuhlmanX100.005435946269826961576062635867655250610
10Pierre Engvall (R)XX100.006739835885939156595457595765636250610
11Andrew MangiapaneX100.005839906467726462556163586466645650600
12Valentin ZykovXX100.007040786478665963526162586567647450600
13Ian McCoshenX100.007739846087796459306358654867647650640
14Jonas SiegenthalerX100.007439836085806359306653694663627052640
15Connor CarrickX100.006643776471755963307362615869665551630
16Kurtis MacDermidX100.007348685996776758305752635169655150630
17Brendan GuhleX100.006337886079846759306154584663627250610
18Connor HobbsX100.006242745677918755305651584563626350610
Rayé
1Aleksi SaarelaX100.005235936361939162635863556365626345610
2Anthony AngelloX100.006939835786928956585456595665636245600
3Adam Mascherin (R)X100.005036905961949558635855525761636445590
4Dylan Gambrell (R)X100.005936925774786756655958625665636745590
5Rhett Gardner (R)X100.007136905885716857535260595565636245590
6Rourke ChartierX100.006135935970716257725858595465635445580
7Adam MusilX100.006836915484928953585251565363626345580
8Nicolas Aube-KubelX100.005638865870766856555757595465637245580
9Kristian Vesalainen (R)X100.006336925985696158545956575960628345580
10Shane Gersich (R)X100.005239825767939056635552545165635645580
11Jonny BrodzinskiX100.006337925879665956535458575571665245570
12Cliff Pu (R)X100.006235945378908552565351545261637245570
13Lukas Jasek (R)X100.005036905754928956625753525563626345570
14Paul BittnerX100.005730725676606854625354555263587245550
15Nic PetanX100.005035935465605054585554515467657245540
16Tommy CrossX100.006939815784949356305952585178696250640
17Dillon SimpsonX100.006736925481949553305652585172665945630
18Darren RaddyshX100.006137885674959655305652574665636245620
19Jack DoughertyX100.006437875680918655305452565165636245610
20Lucas Carlsson (R)X100.005937885872939157305853554763626345610
21Jordan SubbanX100.005637885965888257305852565367646245600
22Jake WalmanX100.005638855472939253305252554865635645600
23Ben GleasonX100.005536926074867259306253564661635445600
24Sergei BoikovX100.006436765778777356305452535163646845590
25Riley Stillman (R)X100.006338845877816957305553564561636045590
26Jeff TaylorX100.005238845458847853305351524569656045570
MOYENNE D'ÉQUIPE100.00643986597581755848585658546664644760
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 Nedeljkovic100.00807068727978807978807965697850730
2Merrick Madsen (R)100.00776866857675777675777667715250730
Rayé
1Mikhail Berdin (R)100.00787270737776787776787761655345720
2Dylan Wells (R)100.00766866787574767574767561655345710
3Nick Schneider (R)100.00756866747473757473757463675345700
4Brandon Halverson100.00717068887069717069717065695345690
5Zachary Fucale100.00716563787069717069717067715245680
6Ken Appleby100.00706664886968706968706967715245680
7Colton Point (R)100.00656563936463656463656461657345650
MOYENNE D'ÉQUIPE100.0074686681737274737274736468584670
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'ÉquipePOS GP 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
1Blake PietilaPenguins (Pit)C/LW521300027134715.38%18917.91101622000030154.13%10900000.6700000100
2Warren FoegelePenguins (Pit)LW/RW5123000511180105.56%011322.611125210000260044.90%4900000.5300000000
3Jonas SiegenthalerPenguins (Pit)D21230003330433.33%14824.481123800007000.00%000001.2300000100
4William CarrierPenguins (Pit)LW/RW5213110083127916.67%19418.910001200000102060.00%1500000.6300000101
5Connor CarrickPenguins (Pit)D502201152710270.00%710521.06011819000018000.00%000000.3800001000
6Denis GurianovPenguins (Pit)RW5112-22023114159.09%08016.08000319000020133.33%600000.5000000001
7Kenny AgostinoPenguins (Pit)LW5112-12084104410.00%010420.851126170000250057.14%700000.3800000000
8Matthew PecaPenguins (Pit)C5022000085340.00%0479.5001118000000065.91%4400000.8400000000
9Connor HobbsPenguins (Pit)D4022-140320100.00%2246.110000000003000.00%000001.6400000000
10Karson KuhlmanPenguins (Pit)C5112-3000311189.09%27114.38000111000000048.05%7700000.5600000000
11Andrew MangiapanePenguins (Pit)LW51010001352520.00%0367.310000000002000.00%200000.5500000000
12Kurtis MacDermidPenguins (Pit)D5011-3801234030.00%511322.62011418000013000.00%000000.1800000000
13Brendan LemieuxPenguins (Pit)LW5011-2100688220.00%06412.88000000000120080.00%500000.3100000000
14Robby FabbriPenguins (Pit)C/LW51010001872414.29%1499.8300001000000056.36%5500000.4100000010
15Ian McCoshenPenguins (Pit)D5011-140563050.00%711923.89011319000019000.00%000000.1700000000
16Brendan GuhlePenguins (Pit)D5011-120231130.00%98316.6300004000010000.00%000000.2400000000
17Tommy CrossPenguins (Pit)D4011020733110.00%510426.19011111000021000.00%000000.1900000000
18Valentin ZykovPenguins (Pit)LW/RW5000020305030.00%0357.050001100000000.00%000000.0000000000
19Pierre EngvallPenguins (Pit)LW/RW5000-220353120.00%06212.44000000000110037.50%800000.0000000000
Stats d'équipe Total ou en Moyenne90112031-15595739013235968.33%41144716.0948124320900001892253.05%37700000.4300001312
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)52300.8932.6229800131210000.000050000
Stats d'équipe Total ou en Moyenne52300.8932.6229800131210000.000050000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam MascherinPenguins (Pit)LW211998-06-06Yes200 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Adam MusilPenguins (Pit)C221997-03-26No202 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Aleksi SaarelaPenguins (Pit)LW221997-01-07No198 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Alex NedeljkovicPenguins (Pit)G231996-01-07No189 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Andrew MangiapanePenguins (Pit)LW231996-04-04No184 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Anthony AngelloPenguins (Pit)RW231996-03-06No197 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Ben GleasonPenguins (Pit)D211998-03-25No185 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Blake PietilaPenguins (Pit)C/LW261993-02-20No200 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Brandon HalversonPenguins (Pit)G231996-03-29No210 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Brendan GuhlePenguins (Pit)D211997-07-29No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Brendan LemieuxPenguins (Pit)LW231996-03-15No215 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Cliff PuPenguins (Pit)RW211998-06-03Yes187 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Colton PointPenguins (Pit)G211998-03-04Yes235 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Connor CarrickPenguins (Pit)D251994-04-13No192 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Connor HobbsPenguins (Pit)D221997-01-04No197 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Darren RaddyshPenguins (Pit)D231996-02-28No200 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Denis GurianovPenguins (Pit)RW221997-06-07No195 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$NoLien
Dillon SimpsonPenguins (Pit)D261993-02-10No204 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Dylan GambrellPenguins (Pit)C221996-08-26Yes195 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Dylan WellsPenguins (Pit)G211998-01-03Yes190 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Ian McCoshenPenguins (Pit)D231995-08-05No217 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Jack DoughertyPenguins (Pit)D231996-05-25No196 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Jake WalmanPenguins (Pit)D231996-02-20No170 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Jeff TaylorPenguins (Pit)D251994-04-13No181 Lbs5 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Jonas SiegenthalerPenguins (Pit)D221997-05-06No206 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jonny BrodzinskiPenguins (Pit)LW261993-06-19No208 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Jordan SubbanPenguins (Pit)D241995-03-03No178 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Karson KuhlmanPenguins (Pit)C231995-09-26No185 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Ken ApplebyPenguins (Pit)G241995-04-10No210 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Kenny AgostinoPenguins (Pit)LW271992-04-30No199 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Kristian VesalainenPenguins (Pit)LW201999-06-01Yes207 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Kurtis MacDermidPenguins (Pit)D251994-03-25No233 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Lucas CarlssonPenguins (Pit)D211997-07-05Yes189 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Lukas JasekPenguins (Pit)RW211997-08-28Yes165 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Matthew PecaPenguins (Pit)C261993-04-27No182 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Merrick MadsenPenguins (Pit)G231995-08-22Yes177 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Mikhail BerdinPenguins (Pit)G211998-03-01Yes163 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm0$0$NoLien
Nic PetanPenguins (Pit)C241995-03-22No179 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Nick SchneiderPenguins (Pit)G211997-07-31Yes170 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$NoLien
Nicolas Aube-KubelPenguins (Pit)RW231996-05-10No187 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Paul BittnerPenguins (Pit)LW221996-11-04No214 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
Pierre EngvallPenguins (Pit)LW/RW231996-05-31Yes191 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Rhett GardnerPenguins (Pit)C231996-02-28Yes210 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Riley StillmanPenguins (Pit)D211998-03-09Yes196 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Robby FabbriPenguins (Pit)C/LW231996-01-22No190 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Rourke ChartierPenguins (Pit)C231996-04-03No190 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Sergei BoikovPenguins (Pit)D231996-01-24No195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Shane GersichPenguins (Pit)LW221996-07-10Yes175 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Tommy CrossPenguins (Pit)D291989-09-12No205 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Valentin ZykovPenguins (Pit)LW/RW241995-05-15No220 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Warren FoegelePenguins (Pit)LW/RW231996-04-01No198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
William CarrierPenguins (Pit)LW/RW241994-12-20No212 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Zachary FucalePenguins (Pit)G241995-05-28No187 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
5323.02195 Lbs6 ft02.58422,642$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Warren FoegeleBlake PietilaDenis Gurianov40122
2Kenny AgostinoMatthew PecaWilliam Carrier30122
3Brendan LemieuxKarson KuhlmanPierre Engvall20122
4Andrew MangiapaneRobby FabbriValentin Zykov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerIan McCoshen40122
2Connor CarrickKurtis MacDermid30122
3Brendan GuhleConnor Hobbs20122
4Jonas SiegenthalerIan McCoshen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Warren FoegeleBlake PietilaDenis Gurianov60122
2Kenny AgostinoMatthew PecaWilliam Carrier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerIan McCoshen60122
2Connor CarrickKurtis MacDermid40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Warren FoegeleKenny Agostino60122
2Denis GurianovBrendan Lemieux40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerIan McCoshen60122
2Connor CarrickKurtis MacDermid40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Warren Foegele60122Jonas SiegenthalerIan McCoshen60122
2Kenny Agostino40122Connor CarrickKurtis MacDermid40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Warren FoegeleKenny Agostino60122
2Denis GurianovBrendan Lemieux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerIan McCoshen60122
2Connor CarrickKurtis MacDermid40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Warren FoegeleBlake PietilaDenis GurianovJonas SiegenthalerIan McCoshen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Warren FoegeleBlake PietilaDenis GurianovJonas SiegenthalerIan McCoshen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Karson Kuhlman, Robby Fabbri, Pierre EngvallKarson Kuhlman, Robby FabbriPierre Engvall
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Guhle, Connor Hobbs, Connor CarrickBrendan GuhleConnor Hobbs, Connor Carrick
Tirs de Pénalité
Warren Foegele, Kenny Agostino, Denis Gurianov, Brendan Lemieux, William Carrier
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
1Bears11000000211110000002110000000000021.00023500443034504933017689600.00%40100.00%09216456.10%7314450.69%356950.72%12788113355931
2Monsters2110000056-1000000000002110000056-120.5005914004430465049330501737278112.50%15286.67%09216456.10%7314450.69%356950.72%12788113355931
3Phantoms1010000034-1000000000001010000034-100.0003690044302750493302298199333.33%4175.00%09216456.10%7314450.69%356950.72%12788113355931
4Thunderbirds1010000012-11010000012-10000000000000.000123004430255049330329618100.00%30100.00%09216456.10%7314450.69%356950.72%12788113355931
Total523000001113-22110000033031200000810-240.400112031004430132504933012141597324416.67%26388.46%09216456.10%7314450.69%356950.72%12788113355931
_Since Last GM Reset523000001113-22110000033031200000810-240.400112031004430132504933012141597324416.67%26388.46%09216456.10%7314450.69%356950.72%12788113355931
_Vs Conference422000001011-11100000021131200000810-240.50010182800443010750493308932535523417.39%23386.96%09216456.10%7314450.69%356950.72%12788113355931
_Vs Division410000001011-11100000021130000000810-220.25010182800443010750493308932535523417.39%23386.96%09216456.10%7314450.69%356950.72%12788113355931

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
54L111203113212141597300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52300001113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000033
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000810
Derniers 10 Matchs
WLOTWOTL SOWSOL
230000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24416.67%26388.46%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
50493304430
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
9216456.10%7314450.69%356950.72%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12788113355931


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 - 2019-09-1989Phantoms-Penguins-
24 - 2019-09-25109Bears-Penguins-
25 - 2019-09-26118Penguins-Bears-
31 - 2019-10-02143Wolf Pack-Penguins-
32 - 2019-10-03161Wolf Pack-Penguins-
33 - 2019-10-04167Penguins-Sound Tigers-
38 - 2019-10-09184Penguins-Bruins-
39 - 2019-10-10193Penguins-Wolf Pack-
40 - 2019-10-11206Penguins-Bruins-
43 - 2019-10-14214Penguins-Thunderbirds-
45 - 2019-10-16228Checkers-Penguins-
46 - 2019-10-17243Checkers-Penguins-
52 - 2019-10-23269Penguins-Thunderbirds-
53 - 2019-10-24282Bears-Penguins-
54 - 2019-10-25292Bruins-Penguins-
57 - 2019-10-28300Penguins-Bears-
59 - 2019-10-30312Penguins-Americans-
60 - 2019-10-31320Penguins-Marlies-
66 - 2019-11-06354Monsters-Penguins-
67 - 2019-11-07362Sound Tigers-Penguins-
68 - 2019-11-08379Penguins-Bears-
71 - 2019-11-11385Penguins-Thunderbirds-
74 - 2019-11-14409Phantoms-Penguins-
75 - 2019-11-15416Penguins-Sound Tigers-
78 - 2019-11-18428Sound Tigers-Penguins-
80 - 2019-11-20434Penguins-Bears-
81 - 2019-11-21457Penguins-Crunch-
85 - 2019-11-25467Phantoms-Penguins-
87 - 2019-11-27479Bears-Penguins-
88 - 2019-11-28494Penguins-Phantoms-
90 - 2019-11-30508Penguins-Devils-
94 - 2019-12-04522Griffins-Penguins-
95 - 2019-12-05539Admirals-Penguins-
101 - 2019-12-11561Penguins-Checkers-
102 - 2019-12-12575Penguins-Checkers-
108 - 2019-12-18608Americans-Penguins-
109 - 2019-12-19624Bears-Penguins-
111 - 2019-12-21638Phantoms-Penguins-
113 - 2019-12-23645Penguins-Sound Tigers-
116 - 2019-12-26679Penguins-Devils-
122 - 2020-01-01688Monsters-Penguins-
123 - 2020-01-02703Sound Tigers-Penguins-
127 - 2020-01-06720Penguins-IceHogs-
129 - 2020-01-08728Penguins-Admirals-
130 - 2020-01-09738Penguins-Griffins-
134 - 2020-01-13762Penguins-Bears-
137 - 2020-01-16787Comets-Penguins-
138 - 2020-01-17793Penguins-Wolf Pack-
143 - 2020-01-22822Bears-Penguins-
145 - 2020-01-24843IceHogs-Penguins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29861Penguins-Bruins-
151 - 2020-01-30876Penguins-Wolf Pack-
155 - 2020-02-03892Phantoms-Penguins-
157 - 2020-02-05903Wolf Pack-Penguins-
158 - 2020-02-06915Crunch-Penguins-
162 - 2020-02-10937Penguins-Phantoms-
165 - 2020-02-13962Bruins-Penguins-
166 - 2020-02-14968Marlies-Penguins-
168 - 2020-02-16972Penguins-Bears-
171 - 2020-02-19985Phantoms-Penguins-
172 - 2020-02-20999Penguins-Phantoms-
173 - 2020-02-211010Thunderbirds-Penguins-
176 - 2020-02-241020Bruins-Penguins-
179 - 2020-02-271047Thunderbirds-Penguins-
182 - 2020-03-011058Penguins-Sound Tigers-
185 - 2020-03-041076Devils-Penguins-
186 - 2020-03-051092Penguins-Phantoms-
187 - 2020-03-061100Penguins-Phantoms-
192 - 2020-03-111116Penguins-Comets-
193 - 2020-03-121134Sound Tigers-Penguins-
194 - 2020-03-131144Devils-Penguins-



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
124,923$ 224,000$ 54,130$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 19,771$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 177 7,340$ 1,299,180$




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
14523000001113-22110000033031200000810-24112031004430132504933012141597324416.67%26388.46%09216456.10%7314450.69%356950.72%12788113355931
Total Saison Régulière523000001113-22110000033031200000810-24112031004430132504933012141597324416.67%26388.46%09216456.10%7314450.69%356950.72%12788113355931