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LHSRSM


Stars
GP: 3 | W: 0 | L: 3
GF: 5 | GA: 10 | PP%: 16.67% | PK%: 100.00%
DG: | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #31 vs Roadrunners
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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
1Erik Condra (A)XX100.00584786626980756157606063598474047630331650,000$
2Dylan GambrellXX100.00594387657179776375626064636765050630232700,000$
3Steve BernierX100.00755482598880785753555861598575050630341650,000$
4Zac Dalpe (C)XX100.00634589628073726169606359627779047630292750,000$
5Phillip Di GiuseppeXX100.00653986617378716256606059627367050620261700,000$
6Ryan PoehlingX100.007142896381747262765958645961640506202021,491,667$
7Steven LorentzXX100.00715285608883796156595862606764050620231728,333$
8Adam RuzickaXXX100.00704589608785835866595657546163050610203850,000$
9Brett SeneyXX100.00554679646579786368625957636764050610231825,000$
10Shane BowersX100.006242846378838261756057596361620506102031,075,000$
11Egor Sharangovich (R)X100.00644286598087905752545658576362050600212925,000$
12Ryan GroppX100.00644586598184825854575556586764050600231888,333$
13Noah JuulsenX100.007742836280736561306056655265660446202211,063,333$
14Gavin BayreutherX100.00624388617685745930605857537166050610251700,000$
15Tyler LewingtonX100.00635775608177725930585761537166050610241675,000$
16Andrew MacWilliamX100.00726176548587865230535357457870050600291650,000$
17Gustav LindstromX100.00634283577881705530565560456362050590202925,000$
Rayé
1Micheal Haley (A)XXX100.00796759567365725466535557568474050600331700,000$
2Mason ShawXX100.00524588606681785953575563596361050600202925,000$
3Spencer SmallmanX100.00634584607775736155595258616763050600231758,333$
4Chase PearsonX100.00624388577881825550535658576563050590222925,000$
5Aleksi HeponiemiXX100.005139895855848356615553525961620505702031,775,000$
6Kyle BurroughsX100.00596176567287895430535357456975050590241675,000$
7Andrew NielsenX100.00715873548579785230535057456764050580221921,666$
8Cam DineenX100.00533987565886885530535457456362050580212910,833$
9Colby WilliamsX100.00534778586076755630555057456965050570241700,000$
MOYENNE D'ÉQUIPE100.0064478359768078585057565955696605060
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
1Linus Ullmark100.0088959389878688878688877377047730
2Pavel Francouz100.0084787670838284838284837884050700
Rayé
MOYENNE D'ÉQUIPE100.008687858085848685848685768104972
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Dylan GambrellStars (DAL)C/RW3224200314931122.22%27525.06000140000210053.91%11500001.0600000010
2Steve BernierStars (DAL)RW31232008183612.50%26321.020002500002100100.00%200000.9500000000
3Erik CondraStars (DAL)LW/RW31120202352320.00%15016.7400005000010000.00%200000.8000000000
4Andrew MacWilliamStars (DAL)D3011-3120810000.00%36220.7600004000015000.00%000000.3200000000
5Tyler LewingtonStars (DAL)D3101-3205270014.29%56321.0210124000015000.00%000000.3200000000
6Phillip Di GiuseppeStars (DAL)LW/RW3011-500367370.00%04615.5801114000000020.00%500000.4300000000
7Steven LorentzStars (DAL)C/LW3011-520836350.00%04916.3801104000020050.00%600000.4100000000
8Adam RuzickaStars (DAL)C/LW/RW3000-200326210.00%14113.81000000000000100.00%300000.0000000000
9Brett SeneyStars (DAL)C/LW3000-200245360.00%14615.5500000000050071.43%700000.0000000000
10Gustav LindstromStars (DAL)D3000-180632020.00%55117.240000100009000.00%000000.0000000000
11Gavin BayreutherStars (DAL)D3000-220334010.00%37224.0000005000018000.00%000000.0000000000
12Zac DalpeStars (DAL)C/RW3000-500286450.00%25719.23000140000100054.79%7300000.0000000000
13Noah JuulsenStars (DAL)D3000-21001225140.00%126822.7200014000014000.00%000000.0000000000
14Ryan PoehlingStars (DAL)C3000-200058140.00%44214.2800000000010057.45%4700000.0000000000
15Shane BowersStars (DAL)C3000-120605270.00%64515.1700000000000020.00%500000.0000000000
Stats d'équipe Total ou en Moyenne455813-2940071578327626.02%4783518.5712384800001460054.34%26500000.3100000010
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
1Linus UllmarkStars (DAL)30300.9323.3318020101460000.000030200
Stats d'équipe Total ou en Moyenne30300.9323.3318020101460000.000030200


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 RuzickaStars (DAL)C/LW/RW201999-05-11No202 Lbs6 ft4NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Aleksi HeponiemiStars (DAL)C/RW201999-01-09No154 Lbs5 ft1NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Andrew MacWilliamStars (DAL)D291990-03-25No223 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Andrew NielsenStars (DAL)D221996-11-13No210 Lbs6 ft3NoNoNo1Pro & Farm921,666$0$0$NoLien / Lien NHL
Brett SeneyStars (DAL)C/LW231996-02-28No156 Lbs5 ft9NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Cam DineenStars (DAL)D211998-06-19No183 Lbs5 ft1NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Chase PearsonStars (DAL)C221997-08-23No189 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Colby WilliamsStars (DAL)D241995-01-26No191 Lbs5 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Dylan GambrellStars (DAL)C/RW231996-08-26No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Egor SharangovichStars (DAL)C211998-06-06Yes196 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Erik CondraStars (DAL)LW/RW331986-08-06No185 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Gavin BayreutherStars (DAL)D251994-05-12No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Gustav LindstromStars (DAL)D201998-10-20No190 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Kyle BurroughsStars (DAL)D241995-07-12No198 Lbs5 ft11NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Linus UllmarkStars (DAL)G261993-07-31No215 Lbs6 ft4NoNoNo1Pro & Farm1,325,000$0$0$NoLien / Lien NHL
Mason ShawStars (DAL)C/LW201998-11-03No182 Lbs5 ft9NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Micheal HaleyStars (DAL)C/LW/RW331986-03-30No202 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Noah JuulsenStars (DAL)D221997-04-02No198 Lbs6 ft2NoNoNo1Pro & Farm1,063,333$0$0$NoLien / Lien NHL
Pavel FrancouzStars (DAL)G291990-06-03No179 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$NoLien / Lien NHL
Phillip Di GiuseppeStars (DAL)LW/RW261993-10-09No193 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ryan GroppStars (DAL)LW231996-09-16No187 Lbs6 ft3NoNoNo1Pro & Farm888,333$0$0$NoLien / Lien NHL
Ryan PoehlingStars (DAL)C201999-01-03No204 Lbs6 ft2NoNoNo2Pro & Farm1,491,667$0$0$No1,491,667$Lien
Shane BowersStars (DAL)C201999-07-30No186 Lbs6 ft2NoNoNo3Pro & Farm1,075,000$0$0$No1,075,000$1,075,000$Lien
Spencer SmallmanStars (DAL)RW231996-09-09No198 Lbs6 ft1NoNoNo1Pro & Farm758,333$0$0$NoLien / Lien NHL
Steve BernierStars (DAL)RW341985-03-31No225 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Steven LorentzStars (DAL)C/LW231996-04-13No206 Lbs6 ft4NoNoNo1Pro & Farm728,333$0$0$NoLien / Lien NHL
Tyler LewingtonStars (DAL)D241994-12-05No200 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Zac DalpeStars (DAL)C/RW291989-11-01No197 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2824.25194 Lbs6 ft01.50886,161$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Erik CondraDylan GambrellSteve Bernier30122
2Steven LorentzZac DalpePhillip Di Giuseppe30122
3Brett SeneyRyan PoehlingAdam Ruzicka25122
4Shane BowersDylan Gambrell15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenGavin Bayreuther30122
2Tyler LewingtonAndrew MacWilliam30122
3Gustav LindstromShane Bowers25122
4Noah JuulsenGavin Bayreuther15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Erik CondraDylan GambrellSteve Bernier60122
2Steven LorentzZac DalpePhillip Di Giuseppe40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenGavin Bayreuther60122
2Tyler LewingtonAndrew MacWilliam40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dylan GambrellSteve Bernier60122
2Zac DalpeErik Condra40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenGavin Bayreuther60122
2Tyler LewingtonAndrew MacWilliam40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dylan Gambrell60122Noah JuulsenGavin Bayreuther60122
2Steve Bernier40122Tyler LewingtonAndrew MacWilliam40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan GambrellSteve Bernier60122
2Zac DalpeErik Condra40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenGavin Bayreuther60122
2Tyler LewingtonAndrew MacWilliam40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Erik CondraDylan GambrellSteve BernierNoah JuulsenGavin Bayreuther
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Erik CondraDylan GambrellSteve BernierNoah JuulsenGavin Bayreuther
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Ryan Poehling, Brett Seney, Ryan PoehlingBrett Seney
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Lindstrom, Tyler Lewington, Andrew MacWilliamGustav LindstromTyler Lewington, Andrew MacWilliam
Tirs de Pénalité
Dylan Gambrell, Steve Bernier, Zac Dalpe, Erik Condra, Steven Lorentz
Gardien
#1 : Linus Ullmark, #2 : Pavel Francouz


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
1Roadrunners30300000510-52020000025-31010000035-200.00058130040108330302301464742726116.67%190100.00%0438948.31%8214456.94%204050.00%553687233616
Total30300000510-52020000025-31010000035-200.00058130040108330302301464742726116.67%190100.00%0438948.31%8214456.94%204050.00%553687233616
_Since Last GM Reset30300000510-52020000025-31010000035-200.00058130040108330302301464742726116.67%190100.00%0438948.31%8214456.94%204050.00%553687233616
_Vs Conference30300000510-52020000025-31010000035-200.00058130040108330302301464742726116.67%190100.00%0438948.31%8214456.94%204050.00%553687233616

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
30L358138314647427200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3030000510
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000025
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000035
Derniers 10 Matchs
WLOTWOTL SOWSOL
030000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
6116.67%190100.00%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
30302304010
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
438948.31%8214456.94%204050.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
553687233616


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2021-04-077Roadrunners2Stars1LSommaire du Match
4 - 2021-04-0915Roadrunners3Stars1LSommaire du Match
6 - 2021-04-1123Stars3Roadrunners5LSommaire du Match
8 - 2021-04-1331Stars-Roadrunners-
10 - 2021-04-1539Roadrunners-Stars-
12 - 2021-04-1747Stars-Roadrunners-
14 - 2021-04-1955Roadrunners-Stars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,481,249$ 1,201,811$ 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$ 8 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
Saison Régulière
2824026032652892444541229012431471083941181702022142136680289510799131217584132740958886872622261647102415663447421.51%4288380.61%61659281758.89%1429259255.13%772132758.18%2102144718106101069547
382432106354262189734120130322112610422412380313313685518626245671818987974172986928990102082252374353613113676718.26%2343585.04%01552295952.45%1364273449.89%663126952.25%2063145218755971045536
4823238012542422420411917010311361112541132100223106131-25642424376790583757892724886908912502420747135518635569817.63%57610481.94%91713308055.62%1468274453.50%700126955.16%2112144418156301042540
582393302323221188334122150012112283394117180220299105-6782214006212118171655274883491698426238270963919852385824.37%2714882.29%51709277961.50%1595274858.04%683116858.48%2104148618195761033531
682284003236254333-7941151802132136156-2041132201104118177-595625444870203897881103265108310671067833634112445523921962914.80%1734375.14%21295298043.46%1220306339.83%550135640.56%1914136020645631002491
7824030052142902454541211603001144116284119140221314612917802905158052412087776328710401104110949270792862622052074521.74%2794882.80%51811317956.97%1482273554.19%690129953.12%2191158617635441007528
882116700220284634-3504183200010146305-1594133500210138329-19122284464748101031037623436114311371143185397161126319511422819.72%1194066.39%1976256738.02%1031308933.38%634168037.74%14069982624545900379
882116700220284634-3504183200010146305-1594133500210138329-19122284464748101031037623436114311371143185397161126319511422819.72%1194066.39%1976256738.02%1031308933.38%634168037.74%14069982624545900379
982501902236323215108412710001121811087341239021241421073511832358390612120117815346710961168118943278379652920731884523.94%2363883.90%41798327054.98%1587300652.79%747138154.09%2086148518525711034525
Total Saison Régulière73829434102220293224492924-4753691621620107171112841396-11236913217901213122111651528-3636062449427767269369187886926928089911193139439431295048916569017297238047219.83%243547980.33%33134892619851.49%122072580047.31%60731242948.86%173871225918250518590354459
Séries
25140000089-13030000047-32110000042228132101323016866435451354157972129.52%25676.00%013319867.17%10116361.96%456965.22%13493106386636
3734000001819-1413000001114-33210000075261833510186312118072581227524010531619.35%18477.78%09123838.24%7622833.33%4111834.75%156106179538741
5624000001117-630300000411-73210000076141116270035301654368540148353914820210.00%15660.00%011620556.59%8418146.41%388345.78%13389148467838
930300000510-52020000025-31010000035-2058130040108330302301464742726116.67%190100.00%0438948.31%8214456.94%204050.00%553687233616
Total Séries21615000004255-1312111000002137-1695400000211831242701120218131016272192131896656175178422781114.10%771679.22%038373052.47%34371647.91%14431046.45%481325522162269132