Griffins

GP: 9 | W: 5 | L: 3 | OTL: 1 | P: 11
GF: 34 | GA: 30 | PP%: 21.57% | PK%: 86.11%
DG: Simon Thérien | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #104 vs Rocket
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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
1Corey PerryXX100.00766667748065747436735958628793654700
2Christoffer EhnXXX100.00764398647056835755545674255757635000
3Michael AmadioXX100.00614194737164857174625962255758645000
4Gage QuinneyXX100.00797394627373766580606569625151674700
5Henrik BorgstromXX100.00787193847176815873525866554949645000
6Jansen HarkinsX100.00614194676857825726635858255353615000
7Joey Anderson (R)X100.00734396766964726045607384254949734700
8Martin FrkXX100.00714391747566667125618058254848725000
9Matt PuempelXX100.00777583647573756750636569625555685000
10Noah Gregor (R)XXX100.00834490776856755836576055254646635000
11Zemgus GirgensonsX100.00814595797666886140607085596969735000
12Dominic TurgeonXX100.00807397637380875670505667535353625000
13Vitaly Kravtsov (R)X100.00797196757161635550515464514444605000
14Dennis CholowskiX100.00634194776477878025524863255555615000
15Philippe MyersX100.00814582807671826025584965255353635000
16Gustav Lindstrom (R)X100.00774475727070686125454774254545595000
17Alexander Yelesin (R)X100.00984799686959665825394757254444574700
18Justin HollX100.00785382636676666025584884255656635000
19Joe HickettsX100.00696188666175815525544061384949565000
Rayé
1David Pope (R)X100.00757088607047484550384760454444525000
2Jake Leschyshyn (R)X100.00746789696775834759434660444444555000
3Joe Morrow (R)X100.00717172517151524825394159394444505000
4Chad Krys (R)X100.00736786676757604725374159394444515000
MOYENNE D'ÉQUIPE100.0075568970706674604253556638525262490
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
1Jonas Johansson100.0064607584656863706867304444654700
2Marcus Hogberg (R)100.0070716787756457707370754646685000
Rayé
1Sam Montembeault100.0053696578574953555953754545565000
MOYENNE D'ÉQUIPE100.006267698366605865676360454563490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle77797176938751CAN6534,500,000$


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
1Philippe MyersGriffins (DET)D9111120140231014587.14%718620.760661139000027010.00%000001.2800000010
2Dennis CholowskiGriffins (DET)D9371000048168918.75%719121.283141239000031000.00%000001.0400000002
3Jansen HarkinsGriffins (DET)C97310-48010253072723.33%315717.4600025000000036.17%9400001.2700000202
4Michael AmadioGriffins (DET)C/RW9549-215582030121516.67%219021.191234360000292057.54%17900000.9400000111
5Noah GregorGriffins (DET)C/LW/RW944822014102351517.39%013815.38224534000000070.00%1000001.1600000010
6Christoffer EhnGriffins (DET)C/LW/RW943706019172511916.00%015617.423038370001112072.73%1100000.8900000010
7Henrik BorgstromGriffins (DET)C/LW92571120921234158.70%116318.111343340000130164.44%18000000.8600000010
8Gustav LindstromGriffins (DET)D9167-34020311359.09%616618.53033636101226000.00%000000.8400000001
9Dominic TurgeonGriffins (DET)C/LW92463951082041410.00%115817.570115330110200060.00%1500000.7600010001
10Joe HickettsGriffins (DET)D9134-3205462416.67%416918.78112436011028000.00%000000.4700000100
Stats d'équipe Total ou en Moyenne90305080-672101221261986112115.15%31167818.651119306033212331894256.65%48900000.9500010457
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen 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
Alexander YelesinGriffins (DET)D241996-02-07Yes192 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$1,250,000$1,000,000$1,000,000$0$0$NoLien
Chad KrysGriffins (DET)D221998-04-10Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Christoffer EhnGriffins (DET)C/LW/RW241996-04-05No181 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Corey PerryGriffins (DET)LW/RW351985-05-16No213 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$1,000,000$1,000,000$0$0$NoLien
David PopeGriffins (DET)LW251994-09-27Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,437,500$1,437,500$1,437,500$1,437,500$0$0$No1,437,500$1,437,500$
Dennis CholowskiGriffins (DET)D221998-02-15No170 Lbs6 ft0NoNoNo2Pro & Farm894,166$894,166$450,000$450,000$0$0$No894,166$Lien
Dominic TurgeonGriffins (DET)C/LW241996-02-24No196 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$900,000$900,000$0$0$NoLien
Gage QuinneyGriffins (DET)C/LW241995-07-29No201 Lbs6 ft0NoNoNo2Pro & Farm902,500$902,500$715,000$715,000$0$0$No715,000$Lien
Gustav LindstromGriffins (DET)D211998-10-20Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Henrik BorgstromGriffins (DET)C/LW221997-08-06No185 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Jake LeschyshynGriffins (DET)C211999-03-09Yes185 Lbs5 ft11NoNoNo3Pro & Farm927,500$927,500$927,500$927,500$0$0$No927,500$927,500$
Jansen HarkinsGriffins (DET)C231997-05-23No182 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Joe HickettsGriffins (DET)D241996-05-04No175 Lbs5 ft8NoNoNo1Pro & Farm635,000$635,000$635,000$635,000$0$0$NoLien
Joe MorrowGriffins (DET)D271992-12-09Yes196 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$650,000$650,000$0$0$NoLien
Joey AndersonGriffins (DET)RW221998-06-19Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jonas JohanssonGriffins (DET)G241995-09-18No206 Lbs6 ft4NoNoNo3Pro & Farm1,362,500$1,362,500$925,000$925,000$0$0$No925,000$925,000$Lien
Justin HollGriffins (DET)D281992-01-30No170 Lbs6 ft2NoNoNo3Pro & Farm737,500$737,500$675,000$675,000$0$0$No675,000$675,000$Lien
Marcus HogbergGriffins (DET)G251994-11-24Yes209 Lbs6 ft5NoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$
Martin FrkGriffins (DET)LW/RW261993-10-04No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$700,000$700,000$0$0$NoLien
Matt PuempelGriffins (DET)LW/RW271993-01-24No205 Lbs6 ft1NoNoNo2Pro & Farm675,000$675,000$675,000$675,000$0$0$No675,000$Lien
Michael AmadioGriffins (DET)C/RW241996-05-13No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Noah GregorGriffins (DET)C/LW/RW211998-07-27Yes185 Lbs6 ft0NoNoNo3Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$
Philippe MyersGriffins (DET)D231997-01-25No196 Lbs6 ft5NoNoNo2Pro & Farm678,889$678,889$678,889$678,889$0$0$No678,889$Lien
Sam MontembeaultGriffins (DET)G231996-10-30No192 Lbs6 ft3NoNoNo3Pro & Farm708,750$708,750$708,750$708,750$0$0$No708,750$708,750$Lien
Vitaly KravtsovGriffins (DET)RW201999-12-23Yes183 Lbs6 ft4NoNoNo3Pro & Farm1,775,000$1,775,000$925,002$925,002$0$0$No1,775,000$1,775,000$
Zemgus GirgensonsGriffins (DET)LW261994-01-05No207 Lbs6 ft2NoNoNo1Pro & Farm1,600,000$1,600,000$1,600,000$1,600,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.12191 Lbs6 ft12.15994,589$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChristoffer Ehn35122
2Dominic TurgeonHenrik BorgstromNoah Gregor30122
3Jansen Harkins25122
4Michael AmadioHenrik Borgstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers35122
2Gustav LindstromJoe Hicketts30122
325122
4Dennis CholowskiPhilippe Myers10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChristoffer Ehn60122
2Dominic TurgeonHenrik BorgstromNoah Gregor40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Henrik BorgstromChristoffer Ehn40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Dennis CholowskiPhilippe Myers60122
2Michael Amadio40122Gustav LindstromJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Henrik BorgstromChristoffer Ehn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael AmadioChristoffer EhnDennis CholowskiPhilippe Myers
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael AmadioChristoffer EhnDennis CholowskiPhilippe Myers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jansen Harkins, , Dominic TurgeonJansen Harkins, Dominic Turgeon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Gustav Lindstrom, Gustav Lindstrom
Tirs de Pénalité
, Michael Amadio, Henrik Borgstrom, Christoffer Ehn, Dominic Turgeon
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bruins220000001064110000004311100000063341.0001019290014101007065809504911243211436.36%12283.33%112725250.40%12923056.09%8114954.36%2291652056110554
2Crunch2110000056-11010000024-21100000032120.5005914001410100456580950611516401218.33%70100.00%012725250.40%12923056.09%8114954.36%2291652056110554
3Marlies21100000752110000005231010000023-120.5007121900141010050658095038121437500.00%50100.00%012725250.40%12923056.09%8114954.36%2291652056110554
4Rocket1010000014-3000000000001010000014-300.000123001410100206580950116617700.00%30100.00%012725250.40%12923056.09%8114954.36%2291652056110554
5Senators210001001192110000006331000010056-130.7501121320014101005565809504610383716637.50%9366.67%012725250.40%12923056.09%8114954.36%2291652056110554
Total95300100343044310000017125522001001718-1110.61134639700141010024065809502055498163511121.57%36586.11%112725250.40%12923056.09%8114954.36%2291652056110554
_Since Last GM Reset95300100343044310000017125522001001718-1110.61134639700141010024065809502055498163511121.57%36586.11%112725250.40%12923056.09%8114954.36%2291652056110554

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
911W1346397240205549816300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
95301003430
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43100001712
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52201001718
Derniers 10 Matchs
WLOTWOTL SOWSOL
530100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
511121.57%36586.11%1
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
65809501410100
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
12725250.40%12923056.09%8114954.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2291652056110554


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
1 - 2020-09-031Griffins5Senators6LXSommaire du Match
2 - 2020-09-0413Griffins6Bruins3WSommaire du Match
3 - 2020-09-0522Crunch4Griffins2LSommaire du Match
5 - 2020-09-0735Bruins3Griffins4WSommaire du Match
7 - 2020-09-0949Marlies2Griffins5WSommaire du Match
8 - 2020-09-1064Griffins3Crunch2WSommaire du Match
9 - 2020-09-1171Griffins2Marlies3LSommaire du Match
10 - 2020-09-1274Griffins1Rocket4LSommaire du Match
11 - 2020-09-1388Senators3Griffins6WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15104Rocket-Griffins-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,585,931$ 2,167,764$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 4 0$ 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