Connexion

Caroline
GP: 26 | W: 16 | L: 8 | OTL: 2 | P: 34
GF: 60 | GA: 48 | PP%: 15.91% | PK%: 86.08%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #419 vs Comets
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Centre de jeu
Caroline
16-8-2, 34pts
2
FINAL
3 Oil Kings
9-10-4, 22pts
Team Stats
W1SéquenceW2
8-2-1Fiche domicile3-5-3
8-6-1Fiche domicile6-5-1
7-1-2Derniers 10 matchs4-4-2
2.31Buts par match 2.65
1.85Buts contre par match 2.74
15.91%Pourcentage en avantage numérique19.70%
86.08%Pourcentage en désavantage numérique83.87%
Caroline
16-8-2, 34pts
3
FINAL
0 Heat
1-23-2, 4pts
Team Stats
W1SéquenceL1
8-2-1Fiche domicile0-10-2
8-6-1Fiche domicile1-13-0
7-1-2Derniers 10 matchs0-9-1
2.31Buts par match 1.85
1.85Buts contre par match 4.31
15.91%Pourcentage en avantage numérique10.67%
86.08%Pourcentage en désavantage numérique83.33%
Caroline
16-8-2, 34pts
2023-12-09
Comets
17-8-2, 36pts
Statistiques d’équipe
W1SéquenceW3
8-2-1Fiche domicile9-4-0
8-6-1Fiche visiteur8-4-2
7-1-210 derniers matchs8-2-0
2.31Buts par match 2.41
1.85Buts contre par match 2.41
15.91%Pourcentage en avantage numérique5.63%
86.08%Pourcentage en désavantage numérique87.32%
Caroline
16-8-2, 34pts
2023-12-12
Senators
13-7-1, 27pts
Statistiques d’équipe
W1SéquenceL1
8-2-1Fiche domicile9-6-1
8-6-1Fiche visiteur4-1-0
7-1-210 derniers matchs6-3-1
2.31Buts par match 2.62
1.85Buts contre par match 2.62
15.91%Pourcentage en avantage numérique21.43%
86.08%Pourcentage en désavantage numérique91.67%
Caroline
16-8-2, 34pts
2023-12-14
Cougars
14-9-2, 30pts
Statistiques d’équipe
W1SéquenceL1
8-2-1Fiche domicile7-7-0
8-6-1Fiche visiteur7-2-2
7-1-210 derniers matchs5-3-2
2.31Buts par match 3.40
1.85Buts contre par match 3.40
15.91%Pourcentage en avantage numérique18.99%
86.08%Pourcentage en désavantage numérique85.33%
Meneurs d'équipe
Buts
Kole Lind
8
Passes
Linus Weissbach
10
Points
Linus Weissbach
17
Plus/Moins
Ilya Solovyov
13
Victoires
Strauss Mann
16
Pourcentage d’arrêts
Strauss Mann
0.901

Statistiques d’équipe
Buts pour
60
2.31 GFG
Tirs pour
484
18.62 Avg
Pourcentage en avantage numérique
15.9%
14 GF
Début de zone offensive
41.0%
Buts contre
48
1.85 GAA
Tirs contre
465
17.88 Avg
Pourcentage en désavantage numérique
86.1%%
11 GA
Début de la zone défensive
38.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,915
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs11


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
1Kole LindX100.00624863736770676746656466685450050640231900,000$
2Gemel SmithX100.00596051686368666358615862635950050610283720,000$
3Tim GettingerXX100.00685467617365646342615662605351050610241900,000$
4John LeonardXX100.00574472696164636543635957655250050610242900,000$
5Linus WeissbachXX100.00534763725265656443636054665350050600244560,000$
6Lukas VejdemoXXX100.00727287707255565573525264524545050590261700,000$
7Jonathan Gruden (R)X100.00556162705964636253605853635150050590222788,333$
8Shane Bowers (R)X100.00604469666462626041565454605150050580231925,002$
9Justin AlmeidaX100.00716796586151465574455365504444050560232809,166$
10Blake McLaughlin (R)X100.00544467675660585340505051575150050540222825,000$
11Krystof Hrabik (R)XXX100.00758174648138364660434262424444050530231650,000$
12Antti Saarela (R)X100.00434097666655714450334642515454050500211600,000$
13Logan StanleyX100.006961666995836869406562736659520507002411,000,000$
14William LagessonX100.00654369717171686640636070665750050660262800,000$
15Sami NikuX100.00614192746662527125644371245252050640251620,000$
16Robin SaloX100.00614373716968626340615367625250050630231700,000$
17Ilya Solovyov (R)X100.00684666686962616140575468615050050620221600,000$
18Zack HayesX100.00665565627164635940525364585250050600232600,000$
Rayé
1Ross JohnstonX100.00736856659077746740636165647969050660281750,000$
2Otto LeskinenX100.00594068666262625940555462595350050600251600,000$
3Jacob Paquette (R)X100.00475378587551753025302347265454050490232650,000$
MOYENNE D’ÉQUIPE100.0062537167696362594555536156535105060
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
1Linus WeissbachCaroline (Car)LW/RW26710175100282531133422.58%143716.821455670000242358.18%5500000.7802000112
2Kole LindCaroline (Car)RW268816-120263073175210.96%045217.425161776000002028.57%2100100.7106000132
3Logan StanleyCaroline (Car)D2651015-2215673336142813.89%2462123.924371874000069200%000000.4801001212
4Gemel SmithCaroline (Car)C266814015544594192514.63%455021.171456751011761059.52%63000000.5124001031
5Zack HayesCaroline (Car)D2631013111403515174517.65%1141816.1100021200008100%000000.6200000131
6Tim GettingerCaroline (Car)LW/RW2638110803518356268.57%455021.160446750000730144.12%3400000.4016000003
7William LagessonCaroline (Car)D2611011-320035302410234.17%2260823.391671471000062000%000000.3622000001
8John LeonardCaroline (Car)LW/RW266511560203851133611.76%645817.621124670001423147.37%1900000.4805000102
9Jonathan GrudenCaroline (Car)LW266511312028243582717.14%032712.6100001000000058.82%1700010.6700000111
10Shane BowersCaroline (Car)C26551028038353591414.29%133712.9710129000071056.42%25700000.5900000310
11Sami NikuCaroline (Car)D261910-380173997711.11%1553920.74022566011059000%000000.3700000120
12Lukas VejdemoCaroline (Car)C/LW/RW2616764041421810185.56%246217.790223660001430067.39%41400000.3000000011
13Ilya SolovyovCaroline (Car)D26077132203720135100%943216.6500006000028000%000000.3200000000
14Robin SaloCaroline (Car)D26145-21404826309133.33%1554621.000001869000258000%000000.1800000010
15Justin AlmeidaCaroline (Car)C26202-1205251441114.29%12198.4400000000010066.48%17600000.1800000001
16Antti SaarelaCaroline (Car)C261013002131033.33%031712.2300000000000055.56%900000.0600000000
17Krystof HrabikCaroline (Car)C/LW/RW26011-116016135570%12238.5800005000000068.75%1600000.0900000000
18Blake McLaughlinCaroline (Car)LW26000-120611146110%12519.680000900001900100.00%40000000000000
Statistiques d’équipe totales ou en moyenne46856106162341841052848448415034711.57%117775516.57142741100755112557412561.02%165200110.42526002111717
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
1Strauss MannCaroline (Car)2616820.9011.74158624464650000.84626260500
Statistiques d’équipe totales ou en moyenne2616820.9011.741586244646500026260500


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$415,625$0$0$NoLien
Blake McLaughlinCaroline (Car)LW222000-02-14Yes161 Lbs5 ft11NoNoNoNo2Pro & Farm825,000$571,484$0$0$No825,000$Lien
Gemel Smith (contrat à 1 volet)Caroline (Car)C281994-04-16No203 Lbs5 ft10NoNoYesYes3Pro & Farm720,000$498,750$0$0$No720,000$720,000$Lien
Ilya SolovyovCaroline (Car)D222000-07-20Yes207 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$415,625$0$0$NoLien
Jacob PaquetteCaroline (Car)D231999-05-26Yes201 Lbs6 ft3NoNoNoNo2Pro & Farm650,000$450,260$0$0$No650,000$Lien
John LeonardCaroline (Car)LW/RW241998-08-07No183 Lbs5 ft11NoNoYesYes2Pro & Farm900,000$623,438$0$0$No900,000$Lien
Jonathan GrudenCaroline (Car)LW222000-05-04Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm788,333$546,085$0$0$No788,333$Lien
Justin AlmeidaCaroline (Car)C231999-02-06No165 Lbs5 ft11NoNoNoNo2Pro & Farm809,166$560,516$0$0$No809,166$Lien
Kole LindCaroline (Car)RW231998-10-16No179 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$623,438$0$0$NoLien
Krystof HrabikCaroline (Car)C/LW/RW231999-07-24Yes216 Lbs6 ft4NoNoNoNo1Pro & Farm650,000$450,260$0$0$NoLien
Linus WeissbachCaroline (Car)LW/RW241998-04-19No161 Lbs5 ft8NoNoYesYes4Pro & Farm560,000$387,917$0$0$No560,000$560,000$560,000$Lien
Logan StanleyCaroline (Car)D241998-05-26No242 Lbs6 ft7NoNoYesYes1Pro & Farm1,000,000$692,708$0$0$NoLien
Lukas VejdemoCaroline (Car)C/LW/RW261996-01-25No194 Lbs6 ft2NoNoYesYes1Pro & Farm700,000$484,896$0$0$NoLien
Otto LeskinenCaroline (Car)D251997-02-06No187 Lbs5 ft11NoNoYesYes1Pro & Farm600,000$415,625$0$0$NoLien
Robin SaloCaroline (Car)D231998-10-13No187 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$484,896$0$0$NoLien
Ross Johnston (contrat à 1 volet)Caroline (Car)LW281994-02-18No230 Lbs6 ft5NoNoYesYes1Pro & Farm750,000$519,531$0$0$NoLien
Ryan FantiCaroline (Car)G231999-10-03Yes194 Lbs6 ft3NoNoNoNo3Pro & Farm883,750$612,181$0$0$No883,750$883,750$Lien
Sami NikuCaroline (Car)D251996-10-10No176 Lbs6 ft1NoNoYesYes1Pro & Farm620,000$429,479$0$0$NoLien
Shane BowersCaroline (Car)C231999-07-30Yes185 Lbs6 ft2NoNoNoNo1Pro & Farm925,002$640,757$0$0$NoLien
Strauss MannCaroline (Car)G241998-08-18Yes174 Lbs6 ft0NoNoYesYes3Pro & Farm842,500$583,607$0$0$No842,500$842,500$
Tim GettingerCaroline (Car)LW/RW241998-04-14No220 Lbs6 ft6NoNoYesYes1Pro & Farm900,000$623,438$0$0$NoLien
William LagessonCaroline (Car)D261996-02-22No207 Lbs6 ft2NoNoYesYes2Pro & Farm800,000$554,167$0$0$No800,000$Lien
Zack HayesCaroline (Car)D231999-04-24No218 Lbs6 ft3NoNoNoNo2Pro & Farm600,000$415,625$0$0$No600,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.87193 Lbs6 ft11.70753,207$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerGemel SmithKole Lind40122
2John LeonardLukas VejdemoLinus Weissbach30122
3Jonathan GrudenShane BowersAntti Saarela20122
4Blake McLaughlinJustin AlmeidaKrystof Hrabik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson40122
2Sami NikuRobin Salo30122
3Ilya SolovyovZack Hayes20122
4Logan StanleyWilliam Lagesson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim GettingerGemel SmithKole Lind60122
2John LeonardLukas VejdemoLinus Weissbach40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson60122
2Sami NikuRobin Salo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gemel SmithTim Gettinger60122
2Lukas VejdemoJohn Leonard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson60122
2Sami NikuRobin Salo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gemel Smith60122Logan StanleyWilliam Lagesson60122
2Lukas Vejdemo40122Sami NikuRobin Salo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gemel SmithTim Gettinger60122
2Lukas VejdemoJohn Leonard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyWilliam Lagesson60122
2Sami NikuRobin 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
Linus Weissbach, Lukas Vejdemo, Jonathan GrudenLinus Weissbach, Lukas VejdemoLinus Weissbach
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, Linus Weissbach
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
1Admirals11000000202000000000001100000020221.0002460122161851816515415041224830200.00%40100.00%041667761.45%38663360.98%20634260.23%713512546178329175
2Cabaret Lady Mary Ann11000000211000000000001100000021121.0002350022161851616515415041120216700.00%10100.00%141667761.45%38663360.98%20634260.23%713512546178329175
3Crunch21000001871210000018710000000000030.7508152300221618545165154150414694435120.00%2150.00%041667761.45%38663360.98%20634260.23%713512546178329175
4Heat11000000303000000000001100000030321.00036901221618518165154150411871016300.00%50100.00%041667761.45%38663360.98%20634260.23%713512546178329175
5Manchots10000010211100000102110000000000021.0002240022161852316515415041133814200.00%4175.00%041667761.45%38663360.98%20634260.23%713512546178329175
6Monarchs11000000532000000000001100000053221.000591400221618517165154150411026207228.57%3166.67%041667761.45%38663360.98%20634260.23%713512546178329175
7Monsters10000010431100000104310000000000021.000461000221618522165154150411766155240.00%2150.00%041667761.45%38663360.98%20634260.23%713512546178329175
8Monsters11000000101000000000001100000010121.0001230122161851316515415041123234300.00%10100.00%041667761.45%38663360.98%20634260.23%713512546178329175
9Oceanics1000000123-1000000000001000000123-110.500246002216185201651541504124106253133.33%30100.00%041667761.45%38663360.98%20634260.23%713512546178329175
10Oil Kings21100000743110000005141010000023-120.500712190022161852516515415041511022406233.33%10370.00%041667761.45%38663360.98%20634260.23%713512546178329175
11Phantoms3110001068-2110000003212010001036-340.667691500221618562165154150414210186213215.38%60100.00%041667761.45%38663360.98%20634260.23%713512546178329175
12Seattle2020000003-31010000002-21010000001-100.00000000221618528165154150412562137700.00%8187.50%041667761.45%38663360.98%20634260.23%713512546178329175
13Senators1010000001-11010000001-10000000000000.000000002216185171651541504113828300.00%10100.00%041667761.45%38663360.98%20634260.23%713512546178329175
14Sharks21100000330110000003121010000002-220.5003690022161853216515415041271010495120.00%50100.00%041667761.45%38663360.98%20634260.23%713512546178329175
15Sound Tigers20100010550100000103211010000023-120.5005813002216185401651541504139620297228.57%8275.00%041667761.45%38663360.98%20634260.23%713512546178329175
16Thunder32100000743110000003122110000043140.667714210122161857416515415041791729708112.50%100100.00%041667761.45%38663360.98%20634260.23%713512546178329175
17Wolf Pack11000000321000000000001100000032121.00036900221618514165154150411561220200.00%6183.33%041667761.45%38663360.98%20634260.23%713512546178329175
Total261280004260481211520003131211015760001129272340.6546010616604221618548416515415041465117186528881415.91%791186.08%141667761.45%38663360.98%20634260.23%713512546178329175
_Since Last GM Reset261280004260481211520003131211015760001129272340.6546010616604221618548416515415041465117186528881415.91%791186.08%141667761.45%38663360.98%20634260.23%713512546178329175
_Vs Conference9530000121156421000011310353200000853110.6112138590222161851451651541504116435611863139.68%27581.48%141667761.45%38663360.98%20634260.23%713512546178329175

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2634W16010616648446511718652804
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2612800426048
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115200313121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157600112927
Derniers 10 matchs
WLOTWOTL SOWSOL
710002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
881415.91%791186.08%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
165154150412216185
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
41667761.45%38663360.98%20634260.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
713512546178329175


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 - 2023-10-1747Caroline0Sharks2ALSommaire 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 - 2023-10-27112Sharks1Caroline3BWSommaire 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 - 2023-12-09419Caroline-Comets-
64 - 2023-12-12433Caroline-Senators-
66 - 2023-12-14447Caroline-Cougars-
67 - 2023-12-15455Chill-Caroline-
69 - 2023-12-17475Bears-Caroline-
71 - 2023-12-19486Las Vegas-Caroline-
73 - 2023-12-21503Caroline-Manchots-
75 - 2023-12-23517Sound Tigers-Caroline-
79 - 2023-12-27535Caroline-Chill-
80 - 2023-12-28542Rocket-Caroline-
82 - 2023-12-30561Caroline-Marlies-
85 - 2024-01-02575Caroline-Wolf Pack-
88 - 2024-01-05603Caroline-Bears-
89 - 2024-01-06609Chiefs-Caroline-
94 - 2024-01-11639Admirals-Caroline-
96 - 2024-01-13658Manchots-Caroline-
98 - 2024-01-15675Monarchs-Caroline-
102 - 2024-01-19702Cougars-Caroline-
104 - 2024-01-21719Minnesota-Caroline-
107 - 2024-01-24741Caroline-Bruins-
108 - 2024-01-25746Spiders-Caroline-
110 - 2024-01-27764Jayhawks-Caroline-
120 - 2024-02-06785Comets-Caroline-
122 - 2024-02-08799Monsters-Caroline-
124 - 2024-02-10811Spiders-Caroline-
127 - 2024-02-13830Caroline-Stars-
130 - 2024-02-16849Caroline-Jayhawks-
131 - 2024-02-17862Caroline-Las Vegas-
133 - 2024-02-19874Baby Hawks-Caroline-
136 - 2024-02-22889Cabaret Lady Mary Ann-Caroline-
138 - 2024-02-24909Stars-Caroline-
139 - 2024-02-25920Caroline-Crunch-
141 - 2024-02-27932Caroline-Minnesota-
143 - 2024-02-29942Caroline-Monsters-
145 - 2024-03-02956Oceanics-Caroline-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2024-03-07994Rocket-Caroline-
152 - 2024-03-091011Caroline-Spiders-
153 - 2024-03-101024Heat-Caroline-
155 - 2024-03-121032Wolf Pack-Caroline-
157 - 2024-03-141046Cabaret Lady Mary Ann-Caroline-
159 - 2024-03-161067Caroline-Marlies-
160 - 2024-03-171077Caroline-Senators-
162 - 2024-03-191087Caroline-Sound Tigers-
164 - 2024-03-211099Phantoms-Caroline-
165 - 2024-03-221109Caroline-Bears-
167 - 2024-03-241127Marlies-Caroline-
169 - 2024-03-261138Caroline-Manchots-
171 - 2024-03-281150Cougars-Caroline-
173 - 2024-03-301173Caroline-Rocket-
178 - 2024-04-041202Bruins-Caroline-
179 - 2024-04-051212Bears-Caroline-
181 - 2024-04-071230Monsters-Caroline-
183 - 2024-04-091239Caroline-Bruins-
186 - 2024-04-121265Caroline-Chiefs-
188 - 2024-04-141285Caroline-Baby Hawks-
190 - 2024-04-161296Caroline-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance21,23010,838
Assistance PCT96.50%98.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2915 - 97.18% 88,300$971,300$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
485,791$ 1,585,375$ 1,585,375$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,257$ 485,791$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,649,000$ 133 8,257$ 1,098,181$




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