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Stars

GP: 50 | W: 34 | L: 11 | OTL: 5 | P: 73
GF: 199 | GA: 130 | PP%: 17.70% | PK%: 84.28%
DG: Jonathan Bureau | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #785 vs Gulls
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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)XX100.00584786626980756157606063598474050630331650,000$
2Dylan GambrellXX100.00594387657179776375626064636765050630232700,000$
3Steve BernierX100.00755482598880785753555861598575050630341650,000$
4Zac Dalpe (C)XX100.00634589628073726169606359627779050630292750,000$
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$
11Ryan GroppX100.00644586598184825854575556586764050600231888,333$
12Mason ShawXX100.00524588606681785953575563596361050600202925,000$
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$
2Spencer SmallmanX100.00634584607775736155595258616763050600231758,333$
3Chase PearsonX100.00624388577881825550535658576563050590222925,000$
4Aleksi HeponiemiXX100.005139895855848356615553525961620505702031,775,000$
5Kyle BurroughsX100.00596176567287895430535357456975050590241675,000$
6Andrew NielsenX100.00715873548579785230535057456764050580221921,666$
7Cam DineenX100.00533987565886885530535457456362050580212910,833$
8Colby WilliamsX100.00534778586076755630555057456965050570241700,000$
MOYENNE D'ÉQUIPE100.0064488359758077585057565955696605060
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 Ullmark100.0088959389878688878688877377050730
2Pavel Francouz100.0084787670838284838284837884050700
Rayé
MOYENNE D'ÉQUIPE100.008687858085848685848685768105072
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/RW5026295524280441352245115711.61%13105121.022911319610161113157.14%84700011.0504000530
2Erik CondraStars (DAL)LW/RW502127482512046971966014510.71%21105021.01448219501111232148.86%26400010.9113000313
3Ryan PoehlingStars (DAL)C5024234721180651261764411013.64%2076615.3300011000014155.19%82800011.2300000441
4Brett SeneyStars (DAL)C/LW5014304433002465127427211.02%1569413.88000100002252048.76%20100001.2701000203
5Steven LorentzStars (DAL)C/LW501426402120012073202471676.93%1091518.311232380000071143.02%17900000.8700000153
6Gavin BayreutherStars (DAL)D50534392914063407925416.33%69113922.7814527990001132000.00%000000.6800000014
7Steve BernierStars (DAL)RW5020163622260139621904612510.53%696219.2531424991013654048.48%6600010.7504000242
8Noah JuulsenStars (DAL)D447293633440155568826517.95%70104623.7912333850003109000.00%000000.6900000133
9Zac DalpeStars (DAL)C/RW501421352210079127173411458.09%12104020.82257188900021274057.35%111600000.6716000131
10Phillip Di GiuseppeStars (DAL)LW/RW501816341422057841724712410.47%1085717.1520213470001271349.37%7900110.7900000220
11Tyler LewingtonStars (DAL)D50426302122091486634586.06%74105821.1715626880220126000.00%000000.5700000021
12Adam RuzickaStars (DAL)C/LW/RW507172423120744111642916.03%873814.7600000000003147.37%3800000.6500000201
13Brandon DavidsonStarsD28413172314036356219346.45%5566923.902132357000073100.00%000000.5100000200
14Andrew MacWilliamStars (DAL)D502141619655130293914315.13%6091518.31000645000061100.00%000000.3500001000
15Blake PietilaStarsC/LW19871596024468722639.20%937919.961128350001273150.00%53200000.7900000010
16Shane BowersStars (DAL)C50581314140433336113213.89%244849.6900000000091154.11%14600000.5400000000
17Gustav LindstromStars (DAL)D2121012114042231531213.33%2134216.3100001000021100.00%000000.7000000101
18Ryan GroppStars (DAL)LW2023552089152913.33%3994.9500000000001028.57%700001.0100000000
19Micheal HaleyStars (DAL)C/LW/RW1702232022642110.00%1865.0700000000000037.50%800000.4600000000
20Mason ShawStars (DAL)C/LW20000120247360.00%1532.6700011000080047.83%4600000.0000000000
Stats d'équipe Total ou en Moyenne819197351548373337512641139207458114849.50%5021435117.52203454256927235201061321053.84%435700150.76218001262923
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)50341150.9282.4930154212517270110.80020500953
2Pavel FrancouzStars (DAL)10001.0000.0013000110000.0000050000
Stats d'équipe Total ou en Moyenne51341150.9282.4830294212517380110.800205050953


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
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$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2724.37194 Lbs6 ft01.48884,722$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Erik CondraDylan GambrellSteve Bernier30122
2Steven LorentzZac DalpePhillip Di Giuseppe30122
3Brett SeneyRyan PoehlingAdam Ruzicka25122
4Ryan GroppShane 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
Mason Shaw, Ryan Poehling, Brett SeneyMason Shaw, 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
1Admirals421001001073110000003123110010076150.625101626007679413143669721675291384420857228.57%90100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
2Americans22000000835110000005141100000032141.000814220076794136666972167529712222532150.00%11190.91%1981190451.52%986189152.14%43585251.06%12468761150356636321
3Bears11000000404000000000001100000040421.00047110176794135666972167529317431300.00%20100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
4Bruins21001000945110000005141000100043141.00091524007679413796697216752963151450400.00%70100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
5Checkers210000011073110000007341000000134-130.7501019290076794139566972167529803616574125.00%8362.50%0981190451.52%986189152.14%43585251.06%12468761150356636321
6Comets11000000808110000008080000000000021.000816240176794139966972167529178422100.00%20100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
7Crunch211000008801010000045-11100000043120.500816240076794136866972167529772520462150.00%10190.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
8Devils11000000624110000006240000000000021.00061218007679413366697216752936101030000.00%5180.00%1981190451.52%986189152.14%43585251.06%12468761150356636321
9Eagles11000000514110000005140000000000021.00059140076794133966972167529326228000.00%10100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
10Griffins2020000027-51010000014-31010000013-200.000246007679413796697216752972262447700.00%10370.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
11Gulls2010000168-2000000000002010000168-210.2506915007679413886697216752979271249300.00%5180.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
12Heat33000000177102200000014591100000032161.000172845007679413138669721675291202714915120.00%7185.71%0981190451.52%986189152.14%43585251.06%12468761150356636321
13IceHogs321000001192220000008441010000035-240.6671117280076794131116697216752910428207111218.18%9277.78%0981190451.52%986189152.14%43585251.06%12468761150356636321
14Marlies1000000134-1000000000001000000134-110.50035800767941344669721675294010638200.00%3233.33%0981190451.52%986189152.14%43585251.06%12468761150356636321
15Monsters11000000211000000000001100000021121.0002350076794132266972167529277915000.00%2150.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
16Moose220000001468110000005411100000092741.00014264000767941312566972167529671012523133.33%5180.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
17Penguins22000000198111100000010371100000095441.00019385700767941312866972167529612512516233.33%50100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
18Phantoms11000000413000000000001100000041321.0004812007679413296697216752942136333266.67%30100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
19Rampage2020000047-31010000024-21010000023-100.00047110076794137066972167529641716488225.00%80100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
20Reign2110000045-12110000045-10000000000020.5004812107679413696697216752974121636500.00%8187.50%0981190451.52%986189152.14%43585251.06%12468761150356636321
21Roadrunners330000001064220000006421100000042261.00010203000767941310866972167529942310809111.11%40100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
22Sound Tigers4010002114140301000111213-11000001021150.62514213500767941315866972167529136453810714214.29%18383.33%0981190451.52%986189152.14%43585251.06%12468761150356636321
23Thunderbirds11000000541110000005410000000000021.00051015007679413406697216752933178212150.00%4250.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
Total5031110112419913069251760001111267452514501113876324730.730199356555127679413207466972167529173950734112641132017.70%1592584.28%2981190451.52%986189152.14%43585251.06%12468761150356636321
24Wild11000000321000000000001100000032121.0003690076794133166972167529415218300.00%10100.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
25Wolf Pack321000009631010000023-12200000073440.6679162500767941312766972167529932514847114.29%7185.71%0981190451.52%986189152.14%43585251.06%12468761150356636321
26Wolves11000000431000000000001100000043121.0004610007679413266697216752947171021200.00%5180.00%0981190451.52%986189152.14%43585251.06%12468761150356636321
_Since Last GM Reset5031110112419913069251760001111267452514501113876324730.730199356555127679413207466972167529173950734112641132017.70%1592584.28%2981190451.52%986189152.14%43585251.06%12468761150356636321
_Vs Conference2717800101926923131030000048321614750010144377360.6679215925110767941310496697216752995924916764163914.29%741185.14%0981190451.52%986189152.14%43585251.06%12468761150356636321
_Vs Division13820000147321566100000231497210000124186170.6544781128007679413519669721675294461107230232721.88%33390.91%0981190451.52%986189152.14%43585251.06%12468761150356636321

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5073SOL119935655520741739507341126412
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5031111124199130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25176001111267
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2514511138763
Derniers 10 Matchs
WLOTWOTL SOWSOL
331012
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1132017.70%1592584.28%2
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
669721675297679413
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
981190451.52%986189152.14%43585251.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12468761150356636321


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 - 2020-10-0612Stars0Admirals1LXSommaire du Match
4 - 2020-10-0823IceHogs1Stars3WSommaire du Match
7 - 2020-10-1145Heat2Stars9WSommaire du Match
9 - 2020-10-1362Stars9Moose2WSommaire du Match
11 - 2020-10-1573Stars2Rampage3LSommaire du Match
13 - 2020-10-1787Sound Tigers6Stars5LSommaire du Match
15 - 2020-10-19105Stars4Crunch3WSommaire du Match
16 - 2020-10-20116Comets0Stars8WSommaire du Match
19 - 2020-10-23133Stars3Admirals4LSommaire du Match
20 - 2020-10-24146Reign3Stars4WSommaire du Match
23 - 2020-10-27161Stars4Wolves3WSommaire du Match
25 - 2020-10-29178Sound Tigers3Stars4WXXSommaire du Match
27 - 2020-10-31196Roadrunners3Stars4WSommaire du Match
29 - 2020-11-02204Stars3Gulls4LSommaire du Match
32 - 2020-11-05226Stars5Wolf Pack2WSommaire du Match
33 - 2020-11-06238Stars3Wild2WSommaire du Match
35 - 2020-11-08247IceHogs3Stars5WSommaire du Match
38 - 2020-11-11269Americans1Stars5WSommaire du Match
40 - 2020-11-13287Stars2Wolf Pack1WSommaire du Match
41 - 2020-11-14297Sound Tigers4Stars3LXXSommaire du Match
44 - 2020-11-17319Rampage4Stars2LSommaire du Match
46 - 2020-11-19332Stars3Gulls4LXXSommaire du Match
48 - 2020-11-21350Stars9Penguins5WSommaire du Match
50 - 2020-11-23361Bruins1Stars5WSommaire du Match
52 - 2020-11-25381Roadrunners1Stars2WSommaire du Match
54 - 2020-11-27395Stars1Griffins3LSommaire du Match
56 - 2020-11-29410Stars4Phantoms1WSommaire du Match
57 - 2020-11-30419Devils2Stars6WSommaire du Match
60 - 2020-12-03442Stars4Admirals1WSommaire du Match
62 - 2020-12-05454Crunch5Stars4LSommaire du Match
64 - 2020-12-07465Stars2Monsters1WSommaire du Match
66 - 2020-12-09479Thunderbirds4Stars5WSommaire du Match
68 - 2020-12-11494Stars4Roadrunners2WSommaire du Match
71 - 2020-12-14514Heat3Stars5WSommaire du Match
73 - 2020-12-16533Stars3IceHogs5LSommaire du Match
75 - 2020-12-18546Moose4Stars5WSommaire du Match
77 - 2020-12-20562Stars4Bears0WSommaire du Match
79 - 2020-12-22575Checkers3Stars7WSommaire du Match
82 - 2020-12-25597Stars3Heat2WSommaire du Match
83 - 2020-12-26604Admirals1Stars3WSommaire du Match
87 - 2020-12-30630Stars3Marlies4LXXSommaire du Match
88 - 2020-12-31640Penguins3Stars10WSommaire du Match
91 - 2021-01-03661Reign2Stars0LSommaire du Match
93 - 2021-01-05675Stars3Americans2WSommaire du Match
96 - 2021-01-08697Eagles1Stars5WSommaire du Match
98 - 2021-01-10715Stars2Sound Tigers1WXXSommaire du Match
100 - 2021-01-12725Griffins4Stars1LSommaire du Match
102 - 2021-01-14742Stars4Bruins3WXSommaire du Match
104 - 2021-01-16757Wolf Pack3Stars2LSommaire du Match
106 - 2021-01-18770Stars3Checkers4LXXSommaire du Match
108 - 2021-01-20785Gulls-Stars-
111 - 2021-01-23806Stars-Wolves-
113 - 2021-01-25820Rocket-Stars-
116 - 2021-01-28835Stars-Senators-
118 - 2021-01-30850Comets-Stars-
120 - 2021-02-01868Stars-Rocket-
122 - 2021-02-03879Monsters-Stars-
126 - 2021-02-07902Stars-Eagles-
127 - 2021-02-08912Senators-Stars-
130 - 2021-02-11934Stars-Devils-
132 - 2021-02-13943Wild-Stars-
135 - 2021-02-16966Stars-Eagles-
136 - 2021-02-17974Wolves-Stars-
139 - 2021-02-20995Stars-Condors-
140 - 2021-02-211003Barracuda-Stars-
143 - 2021-02-241030Marlies-Stars-
146 - 2021-02-271048Stars-Barracuda-
147 - 2021-02-281059Stars-Thunderbirds-
149 - 2021-03-021068Barracuda-Stars-
152 - 2021-03-051090Phantoms-Stars-
154 - 2021-03-071110Stars-Wild-
156 - 2021-03-091123IceHogs-Stars-
158 - 2021-03-111140Stars-Comets-
160 - 2021-03-131154Stars-Reign-
161 - 2021-03-141160Heat-Stars-
163 - 2021-03-161173Stars-Rampage-
165 - 2021-03-181183Stars-Crunch-
167 - 2021-03-201195Bears-Stars-
172 - 2021-03-251222Condors-Stars-
174 - 2021-03-271232Stars-Moose-
178 - 2021-03-311253Condors-Stars-
179 - 2021-04-011260Stars-Moose-



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
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,422,255$ 2,388,749$ 1,109,311$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,422,255$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 76 13,125$ 997,500$




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
9503111011241991306925176000111126745251450111387632473199356555127679413207466972167529173950734112641132017.70%1592584.28%2981190451.52%986189152.14%43585251.06%12468761150356636321
Total Saison Régulière70627533302119283023252839-5143531521580106171012151355-14035312317501113112011101484-3745612325405063759368747506526726696868488668925417284608627550216488230544719.39%235846680.24%31126722483251.03%116062468547.02%57611190048.41%165471165017548496986384254
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
Total Séries18612000003745-81019000001932-13853000001813512376299021413915441891831666510128136350721013.89%581672.41%034064153.04%26157245.63%12427045.93%425289434138233116