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Caroline
GP: 82 | W: 50 | L: 20 | OTL: 12 | P: 112
GF: 193 | GA: 153 | PP%: 14.51% | PK%: 88.06%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Caroline
50-20-12, 112pts
2
FINAL
1 Baby Hawks
56-19-7, 119pts
Team Stats
L1SéquenceW2
27-6-8Fiche domicile30-8-3
23-14-4Fiche domicile26-11-4
4-4-2Derniers 10 matchs7-3-0
2.35Buts par match 2.66
1.87Buts contre par match 1.79
14.51%Pourcentage en avantage numérique20.90%
88.06%Pourcentage en désavantage numérique86.46%
Caroline
50-20-12, 112pts
1
FINAL
2 Monsters
50-27-5, 105pts
Team Stats
L1SéquenceW9
27-6-8Fiche domicile24-15-2
23-14-4Fiche domicile26-12-3
4-4-2Derniers 10 matchs9-1-0
2.35Buts par match 2.24
1.87Buts contre par match 1.79
14.51%Pourcentage en avantage numérique17.36%
88.06%Pourcentage en désavantage numérique85.45%
Meneurs d'équipe
Buts
Kole Lind
28
Passes
Logan Stanley
33
Points
Kole Lind
54
Plus/Moins
Ilya Solovyov
27
Victoires
Arvid Soderblom
54
Pourcentage d’arrêts
Ryan Fanti
1

Statistiques d’équipe
Buts pour
193
2.35 GFG
Tirs pour
1434
17.49 Avg
Pourcentage en avantage numérique
14.5%
37 GF
Début de zone offensive
38.8%
Buts contre
153
1.87 GAA
Tirs contre
1445
17.62 Avg
Pourcentage en désavantage numérique
88.1%%
37 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralOlivier Pinho
DivisionWest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,905
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs10


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 moyen
1Ross JohnstonX100.00736856659077746740636165647969050660281750,000$
2Kole LindX100.00624863736770676746656466685450050640231900,000$
3Gemel SmithX100.00596051686368666358615862635950050610283720,000$
4Tim GettingerXX100.00685467617365646342615662605351050610241900,000$
5John LeonardXX100.00574472696164636543635957655250050610242900,000$
6Lukas VejdemoXXX100.00727287707255565573525264524545050590261700,000$
7Jonathan Gruden (R)X100.00556162705964636253605853635150050590222788,333$
8Shane Bowers (R)X100.00604469666462626041565454605150050580231925,002$
9Justin AlmeidaX100.00716796586151465574455365504444050560232809,166$
10Krystof Hrabik (R)XXX100.00758174648138364660434262424444050530231650,000$
11Logan StanleyX100.006961666995836869406562736659520507002411,000,000$
12Callan FooteX100.007061647291837571406663746859520507002321,000,000$
13William LagessonX100.00654369717171686640636070665750050660262800,000$
14Robin SaloX100.00614373716968626340615367625250050630231700,000$
15Ilya Solovyov (R)X100.00684666686962616140575468615050050620221600,000$
16Otto LeskinenX100.00594068666262625940555462595350050600251600,000$
17Zack HayesX100.00665565627164635940525364585250050600232600,000$
18Jacob Paquette (R)X100.00475378587551753025302347265454050490232650,000$
Rayé
1Zack KassianX100.00736364698379886940646362678777050680311713,000$
2Linus WeissbachXX100.00534763725265656443636054665350050600244560,000$
3Blake McLaughlin (R)X100.00544467675660585340505051575150050540222825,000$
4Antti Saarela (R)X100.00434097666655714450334642515454050500211600,000$
MOYENNE D’ÉQUIPE100.0063547067716464604656546159555205060
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 SPÂgeContratSalaire moyen
1Strauss Mann (R)100.0069616159636365626464585150050580243842,500$
2Ryan Fanti (R)100.0059575766605757535859535150050540233883,750$
Rayé
MOYENNE D’ÉQUIPE100.006459596362606158616256515005056
Nom de l’entraîneur 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
1Kole LindCaroline (Car)RW82282654191401021052154912713.02%6150818.395712372130002487050.36%13900110.72420000488
2Logan StanleyCaroline (Car)D8218335112895183101110437516.36%75196023.9010919642230000257700%000000.5202001752
3Gemel SmithCaroline (Car)C8214294322535117171114277612.28%16179721.9338111721111232732255.59%200400000.48610001533
4William LagessonCaroline (Car)D825303513480105928429665.95%79191023.3041115492130111247100%000000.3723000134
5John LeonardCaroline (Car)LW/RW821815331420043961444010712.50%11149018.172351920400021715350.68%7300000.44116000434
6Jonathan GrudenCaroline (Car)LW8215163132807485127306811.81%3116214.1702211100000021155.00%22000010.5303000225
7Tim GettingerCaroline (Car)LW/RW82121830233601196595227112.63%13179121.851671620810142660345.53%12300000.33320000125
8Zack HayesCaroline (Car)D8282230257001154333131624.24%32129315.77101320000016210%000000.4600000243
9Ilya SolovyovCaroline (Car)D824263027640138674514308.89%52141917.310003580001131020%000000.4200000200
10Shane BowersCaroline (Car)C8211182952809210876154614.47%5111113.551013280000792048.98%88000000.5200000631
11Robin SaloCaroline (Car)D827222924601237169233610.14%72173021.10336431950002237300%000000.3400000141
12Linus WeissbachCaroline (Car)LW/RW601118299240506369246915.94%3106317.73268914600001043453.25%16900000.5502000212
13Sami NikuCarolineD6032225014046762391713.04%43123820.64268181420110169000%000000.4000000222
14Lukas VejdemoCaroline (Car)C/LW/RW614172114295668038183510.53%3103216.9206661110001951066.61%63500000.4100000042
15Ross JohnstonCaroline (Car)LW4312820286101177372276816.67%580418.7122410600001273151.62%46300000.5011002243
16Justin AlmeidaCaroline (Car)C8294133255427558193415.52%3101812.4200002000043061.52%49900000.2600001113
17Callan FooteCaroline (Car)D371671255572196611.11%1337410.1100006000012010%000000.3702100000
18Blake McLaughlinCaroline (Car)LW450330201318238180%24459.910002130000500057.14%1400000.1300000000
19Krystof HrabikCaroline (Car)C/LW/RW82123250105124228134.55%46287.67000116000000070.97%3100000.1000110000
20Otto LeskinenCaroline (Car)D431120006352320.00%41212.831014250000500020.00%500000.3300000010
21Antti SaarelaCaroline (Car)C391012002432133.33%148012.3200000000000052.63%1900000.0400000000
22Jacob PaquetteCaroline (Car)D22000000000000%0140.65000010000300100.00%10000000000000
Statistiques d’équipe totales ou en moyenne14761833365191987514516611441143442898212.76%4452439616.5337691063152204235172251401855.55%527500120.431779215425048
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
1Arvid SoderblomCaroline80541790.9101.52481301512213610110.75060800952
2Strauss MannCaroline (Car)47271360.8921.82283345867950000.791434636600
3Ryan FantiCaroline (Car)10001.0000270001300000046000
Statistiques d’équipe totales ou en moyenne1288130150.9041.6376744202082169011103126821552


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Antti SaarelaCaroline (Car)C212001-06-27Yes187 Lbs5 ft11NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Blake McLaughlinCaroline (Car)LW222000-02-14Yes161 Lbs5 ft11NoNoNoNo2Pro & Farm825,000$0$0$No825,000$Lien
Callan FooteCaroline (Car)D231998-12-13No224 Lbs6 ft5NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Gemel Smith (contrat à 1 volet)Caroline (Car)C281994-04-16No203 Lbs5 ft10NoNoYesYes3Pro & Farm720,000$0$0$No720,000$720,000$Lien
Ilya SolovyovCaroline (Car)D222000-07-20Yes207 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Jacob PaquetteCaroline (Car)D231999-05-26Yes201 Lbs6 ft3NoNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
John LeonardCaroline (Car)LW/RW241998-08-07No183 Lbs5 ft11NoNoYesYes2Pro & Farm900,000$0$0$No900,000$Lien
Jonathan GrudenCaroline (Car)LW222000-05-04Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm788,333$0$0$No788,333$Lien
Justin AlmeidaCaroline (Car)C231999-02-06No165 Lbs5 ft11NoNoNoNo2Pro & Farm809,166$0$0$No809,166$Lien
Kole LindCaroline (Car)RW231998-10-16No179 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Krystof HrabikCaroline (Car)C/LW/RW231999-07-24Yes216 Lbs6 ft4NoNoNoNo1Pro & Farm650,000$0$0$NoLien
Linus WeissbachCaroline (Car)LW/RW241998-04-19No161 Lbs5 ft8NoNoYesYes4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Logan StanleyCaroline (Car)D241998-05-26No242 Lbs6 ft7NoNoYesYes1Pro & Farm1,000,000$0$0$NoLien
Lukas VejdemoCaroline (Car)C/LW/RW261996-01-25No194 Lbs6 ft2NoNoYesYes1Pro & Farm700,000$0$0$NoLien
Otto LeskinenCaroline (Car)D251997-02-06No187 Lbs5 ft11NoNoYesYes1Pro & Farm600,000$0$0$NoLien
Robin SaloCaroline (Car)D231998-10-13No187 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Ross Johnston (contrat à 1 volet)Caroline (Car)LW281994-02-18No230 Lbs6 ft5NoNoYesYes1Pro & Farm750,000$0$0$NoLien
Ryan FantiCaroline (Car)G231999-10-03Yes194 Lbs6 ft3NoNoNoNo3Pro & Farm883,750$0$0$No883,750$883,750$Lien
Shane BowersCaroline (Car)C231999-07-30Yes185 Lbs6 ft2NoNoNoNo1Pro & Farm925,002$0$0$NoLien
Strauss MannCaroline (Car)G241998-08-18Yes174 Lbs6 ft0NoNoYesYes3Pro & Farm842,500$0$0$No842,500$842,500$
Tim GettingerCaroline (Car)LW/RW241998-04-14No220 Lbs6 ft6NoNoYesYes1Pro & Farm900,000$0$0$NoLien
William LagessonCaroline (Car)D261996-02-22No207 Lbs6 ft2NoNoYesYes2Pro & Farm800,000$0$0$No800,000$Lien
Zack HayesCaroline (Car)D231999-04-24No218 Lbs6 ft3NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Zack Kassian (contrat à 1 volet)Caroline (Car)RW311991-01-24No211 Lbs6 ft3NoNoYesYes1Pro & Farm713,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.08196 Lbs6 ft21.71767,365$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerGemel SmithKole Lind40122
2John LeonardRoss JohnstonLukas Vejdemo30122
3Jonathan GrudenShane BowersJustin Almeida20122
4Ross JohnstonJustin AlmeidaKrystof Hrabik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson40122
2Callan FooteRobin Salo30122
3Ilya SolovyovZack Hayes20122
4Logan StanleyWilliam Lagesson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerGemel SmithKole Lind60122
2John LeonardJonathan GrudenRoss Johnston40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson60122
2Ilya SolovyovRobin Salo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gemel SmithTim Gettinger60122
2Kole LindJohn Leonard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson60122
2Ilya SolovyovRobin Salo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gemel Smith60122Logan StanleyWilliam Lagesson60122
2Tim Gettinger40122Callan FooteRobin Salo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gemel SmithTim Gettinger60122
2Kole LindJohn Leonard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson60122
2Zack HayesRobin Salo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim GettingerGemel SmithKole LindLogan StanleyWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim GettingerGemel SmithKole LindLogan StanleyWilliam Lagesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tim Gettinger, Gemel Smith, Jonathan GrudenTim Gettinger, Gemel SmithGemel Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robin Salo, Ilya Solovyov, Zack HayesRobin SaloRobin Salo, Ilya Solovyov
Tirs de pénalité
Kole Lind, Tim Gettinger, John Leonard, Gemel Smith, Jonathan Gruden
Gardien
#1 : Strauss Mann, #2 : Ryan Fanti


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
TotalDomicileVisiteur
# 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
1Admirals211000004311010000023-11100000020220.50048120170545818334664584801094281649300.00%80100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
2Baby Hawks22000000413110000002021100000021141.0004711017054581834466458480109231112348112.50%60100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
3Bears4300001015510220000009362100001062481.0001523380070545818754664584801095727558913323.08%15286.67%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
4Bruins3110000134-11000000112-12110000022030.500336007054581838466458480109482244668112.50%21195.24%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
5Cabaret Lady Mary Ann32000001642210000014311100000021150.8336101601705458184546645848010955912631119.09%60100.00%11150204756.18%1147207455.30%633115454.85%2101147318795851047542
6Chiefs201000104401010000012-11000001032120.5004610007054581829466458480109321131376116.67%120100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
7Chill22000000624110000003121100000031241.0006121800705458183046645848010935123344400.00%90100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
8Comets21000001660110000003211000000134-130.75061016007054581847466458480109341320508225.00%10190.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
9Cougars310001101091210001007701000001032150.833101727007054581846466458480109681630548112.50%15193.33%11150204756.18%1147207455.30%633115454.85%2101147318795851047542
10Crunch31100001990210000018711010000012-130.50091625007054581866466458480109681710637114.29%4250.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
11Heat210000015321000000123-11100000030330.750510150170545818364664584801092981432600.00%70100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
12Jayhawks220000001037110000004131100000062441.000101929007054581852466458480109421116454125.00%70100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
13Las Vegas22000000532110000003211100000021141.00059140070545818354664584801093392441200.00%12191.67%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
14Manchots40100012610-4200000113302010000137-440.5006915007054581868466458480109692334761200.00%16475.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
15Marlies32100000532110000003122110000022040.6675914017054581836466458480109632232375120.00%14192.86%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
16Minnesota21000100871110000004221000010045-130.75081422007054581838466458480109411721475240.00%5180.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
17Monarchs21000010743100000102111100000053241.0007111800705458184346645848010922714619222.22%7271.43%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
18Monsters41200010660201000104402110000022040.500610160170545818544664584801095619227212216.67%8362.50%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
19Monsters21001000422100010003211100000010141.00048120170545818334664584801093310224810110.00%90100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
20Oceanics2000000235-21000000112-11000000123-120.500369007054581833466458480109422012444125.00%60100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
21Oil Kings21100000743110000005141010000023-120.50071219007054581825466458480109511022406233.33%10370.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
22Phantoms4210001010100220000007432010001036-360.7501017270070545818844664584801095215248418211.11%7185.71%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
23Rocket31100001550210000015231010000003-330.5005914017054581861466458480109501424561300.00%11281.82%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
24Sags21100000330110000003121010000002-220.500369007054581832466458480109271010495120.00%50100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
25Seattle2020000003-31010000002-21010000001-100.0000000070545818284664584801092562137700.00%8187.50%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
26Senators311000107521010000001-12100001074340.66771118007054581854466458480109471914311400.00%6183.33%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
27Sound Tigers412000108802010001045-12110000043140.500814220170545818734664584801096813386915426.67%15566.67%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
28Spiders3210000056-1220000004221010000014-340.667510150170545818534664584801094818287210440.00%13284.62%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
29Stars2110000056-1110000004131010000015-420.500581300705458183546645848010943113532600.00%100100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
30Thunder32100000743110000003122110000043140.66771421017054581874466458480109791729708112.50%100100.00%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
31Wolf Pack320000101064100000104312200000063361.000101828007054581844466458480109632036698225.00%18383.33%01150204756.18%1147207455.30%633115454.85%2101147318795851047542
Total8239200121010193153404121601157108743441181400153857961120.683193336529011705458181434466458480109144544575516612553714.51%3103788.06%21150204756.18%1147207455.30%633115454.85%2101147318795851047542
_Since Last GM Reset8239200121010193153404121601157108743441181400153857961120.683193336529011705458181434466458480109144544575516612553714.51%3103788.06%21150204756.18%1147207455.30%633115454.85%2101147318795851047542
_Vs Conference3417701225886919191120110455371815650012133321470.6918815524305705458186104664584801096271733146791071312.15%1321290.91%21150204756.18%1147207455.30%633115454.85%2101147318795851047542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82112L1193336529143414454457551661011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
823920121010193153
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41216115710874
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41181401538579
Derniers 10 matchs
WLOTWOTL SOWSOL
440002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2553714.51%3103788.06%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
46645848010970545818
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
1150204756.18%1147207455.30%633115454.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2101147318795851047542


Derniers matchs 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 - 2023-10-114Senators1Caroline0BLSommaire du match
5 - 2023-10-1432Caroline5Monarchs3AWSommaire du match
6 - 2023-10-1534Caroline2Admirals0AWSommaire du match
8 - 2023-10-1747Caroline0Sags2ALSommaire du match
10 - 2023-10-1960Caroline0Seattle1ALSommaire du match
12 - 2023-10-2176Caroline1Monsters0AWSommaire du match
15 - 2023-10-2486Caroline2Thunder0AWSommaire du match
17 - 2023-10-26101Seattle2Caroline0BLSommaire du match
18 - 2023-10-27112Sags1Caroline3BWSommaire du match
21 - 2023-10-30131Caroline1Phantoms5ALSommaire du match
24 - 2023-11-02148Caroline3Wolf Pack2AWSommaire du match
26 - 2023-11-04167Caroline2Sound Tigers3ALSommaire du match
29 - 2023-11-07180Crunch2Caroline4BWSommaire du match
32 - 2023-11-10205Caroline2Cabaret Lady Mary Ann1AWSommaire du match
33 - 2023-11-11214Caroline2Thunder3ALSommaire du match
37 - 2023-11-15238Phantoms2Caroline3BWSommaire du match
40 - 2023-11-18261Manchots1Caroline2BWXXSommaire du match
44 - 2023-11-22279Oil Kings1Caroline5BWSommaire du match
46 - 2023-11-24303Thunder1Caroline3BWSommaire du match
48 - 2023-11-26318Monsters3Caroline4BWXXSommaire du match
50 - 2023-11-28328Caroline2Phantoms1AWXXSommaire du match
52 - 2023-11-30341Sound Tigers2Caroline3BWXXSommaire du match
54 - 2023-12-02360Crunch5Caroline4BLXXSommaire du match
56 - 2023-12-04376Caroline2Oceanics3ALXXSommaire du match
58 - 2023-12-06391Caroline2Oil Kings3ALSommaire du match
59 - 2023-12-07401Caroline3Heat0AWSommaire du match
61 - 2023-12-09419Caroline3Comets4ALXXSommaire du match
64 - 2023-12-12433Caroline4Senators3AWXXSommaire du match
66 - 2023-12-14447Caroline3Cougars2AWXXSommaire du match
67 - 2023-12-15455Chill1Caroline3BWSommaire du match
69 - 2023-12-17475Bears1Caroline4BWSommaire du match
71 - 2023-12-19486Las Vegas2Caroline3BWSommaire du match
73 - 2023-12-21503Caroline1Manchots4ALSommaire du match
75 - 2023-12-23517Sound Tigers3Caroline1BLSommaire du match
79 - 2023-12-27535Caroline3Chill1AWSommaire du match
80 - 2023-12-28542Rocket2Caroline1BLXXSommaire du match
82 - 2023-12-30561Caroline2Marlies0AWSommaire du match
85 - 2024-01-02575Caroline3Wolf Pack1AWSommaire du match
88 - 2024-01-05603Caroline4Bears1AWSommaire du match
89 - 2024-01-06609Chiefs2Caroline1BLSommaire du match
94 - 2024-01-11639Admirals3Caroline2BLSommaire du match
96 - 2024-01-13658Manchots2Caroline1BLXXSommaire du match
98 - 2024-01-15675Monarchs1Caroline2BWXXSommaire du match
102 - 2024-01-19702Cougars5Caroline4BLXSommaire du match
104 - 2024-01-21719Minnesota2Caroline4BWSommaire du match
107 - 2024-01-24741Caroline2Bruins1AWSommaire du match
108 - 2024-01-25746Spiders0Caroline1BWSommaire du match
110 - 2024-01-27764Jayhawks1Caroline4BWSommaire du match
120 - 2024-02-06785Comets2Caroline3BWSommaire du match
122 - 2024-02-08799Monsters2Caroline3BWXSommaire du match
124 - 2024-02-10811Spiders2Caroline3BWSommaire du match
127 - 2024-02-13830Caroline1Stars5ALSommaire du match
130 - 2024-02-16849Caroline6Jayhawks2AWSommaire du match
131 - 2024-02-17862Caroline2Las Vegas1AWSommaire du match
133 - 2024-02-19874Baby Hawks0Caroline2BWSommaire du match
136 - 2024-02-22889Cabaret Lady Mary Ann0Caroline2BWSommaire du match
138 - 2024-02-24909Stars1Caroline4BWSommaire du match
139 - 2024-02-25920Caroline1Crunch2ALSommaire du match
141 - 2024-02-27932Caroline4Minnesota5ALXSommaire du match
143 - 2024-02-29942Caroline1Monsters0AWSommaire du match
145 - 2024-03-02956Oceanics2Caroline1BLXXSommaire du match
150 - 2024-03-07994Rocket0Caroline4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091011Caroline1Spiders4ALSommaire du match
153 - 2024-03-101024Heat3Caroline2BLXXSommaire du match
155 - 2024-03-121032Wolf Pack3Caroline4BWXXSommaire du match
157 - 2024-03-141046Cabaret Lady Mary Ann3Caroline2BLXXSommaire du match
159 - 2024-03-161067Caroline0Marlies2ALSommaire du match
160 - 2024-03-171077Caroline3Senators1AWSommaire du match
162 - 2024-03-191087Caroline2Sound Tigers0AWSommaire du match
164 - 2024-03-211099Phantoms2Caroline4BWSommaire du match
165 - 2024-03-221109Caroline2Bears1AWXXSommaire du match
167 - 2024-03-241127Marlies1Caroline3BWSommaire du match
169 - 2024-03-261138Caroline2Manchots3ALXXSommaire du match
171 - 2024-03-281150Cougars2Caroline3BWSommaire du match
173 - 2024-03-301173Caroline0Rocket3ALSommaire du match
178 - 2024-04-041202Bruins2Caroline1BLXXSommaire du match
179 - 2024-04-051212Bears2Caroline5BWSommaire du match
181 - 2024-04-071230Monsters1Caroline0BLSommaire du match
183 - 2024-04-091239Caroline0Bruins1ALSommaire du match
186 - 2024-04-121265Caroline3Chiefs2AWXXSommaire du match
188 - 2024-04-141285Caroline2Baby Hawks1AWSommaire du match
190 - 2024-04-161296Caroline1Monsters2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance78,91540,180
Assistance PCT96.24%98.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2905 - 96.83% 88,023$3,608,931$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,372,945$ 3,236,375$ 3,236,375$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,856$ 2,372,945$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,856$ 0$




Caroline Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Caroline Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Caroline Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Caroline Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Caroline Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA