Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Caroline
GP: 6 | W: 2 | L: 4
GF: 22 | GA: 26 | PP%: 15.15% | PK%: 82.35%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 58
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Caroline
2-4-0, 4pts
2
FINAL
3 Seattle
4-6-0, 8pts
Team Stats
L2StreakL4
1-2-0Home Record2-3-0
1-2-0Away Record2-3-0
2-2-2Last 10 Games4-6-0
3.67Buts par match 3.50
4.33Buts contre par match 4.00
15.15%Pourcentage en avantage numérique10.34%
82.35%Pourcentage en désavantage numérique80.00%
Seattle
4-6-0, 8pts
4
FINAL
1 Caroline
2-4-0, 4pts
Team Stats
L4StreakL2
2-3-0Home Record1-2-0
2-3-0Away Record1-2-0
4-6-0Last 10 Games2-2-2
3.50Buts par match 3.67
4.00Buts contre par match 4.33
10.34%Pourcentage en avantage numérique15.15%
80.00%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Ross Johnston
4
Passes
Robin Salo
6
Points
Lukas Vejdemo
7
Plus/Moins
Gemel Smith
3
Victoires
Keith Kinkaid
2
Pourcentage d’arrêts
Adam Werner
0.959

Statistiques d’équipe
Buts pour
22
3.67 GFG
Tirs pour
258
43.00 Avg
Pourcentage en avantage numérique
15.2%
5 GF
Début de zone offensive
40.2%
Buts contre
26
4.33 GAA
Tirs contre
249
41.50 Avg
Pourcentage en désavantage numérique
82.4%%
3 GA
Début de la zone défensive
40.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs7


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
1Matty Beniers (R)X100.00694299826674498174787564254444050660184897,500$
2Dominik KahunXX100.00584197826458746051576660246262050610261925,000$
3Ross JohnstonXX100.00939963689156536025635765255555050600271850,000$
4Kole LindX100.00714286676661676137725965254646050600222900,000$
5Gemel SmithXXX100.00767482727450486176536267595656050590274720,000$
6Lias AnderssonXX100.00774482787157595948555760755757050590222925,000$
7Lukas VejdemoXXX100.00777289717260615974565765544545050590252700,000$
8John LeonardXX100.00734399726659786344575864255050050590231925,000$
9Linus WeissbachX100.00706385636356556050566061574444050560235560,000$
10Jonathan Gruden (R)X100.00666471636457585350515157484444050530213788,333$
11Krystof Hrabik (R)XXX100.00808176658141394961474663444444050520221600,000$
12Antti Saarela (R)X100.00464099676660774751365043535454050500202600,000$
13Logan StanleyX100.008891787389687357255547842556570506802321,000,000$
14Jordan OesterleX100.006742967767767062255048772565650506502951,100,000$
15Otto LeskinenX100.00757491736769665528534165374444050600242600,000$
16Robin SaloX100.00614193686970596625544869254545050600222700,000$
17Zack HayesX100.00768067708055584625374061384444050560223600,000$
18Jacob Paquette (R)X100.00505380597555813225332548275454050500221600,000$
Rayé
1Alan QuineXX100.00797392757350486278645469515556050600281750,000$
2Sami NikuX100.00654194756667577625704772255252050630241600,000$
3Ilya Solovyov (R)X100.00807786647749504625354163394444050550212600,000$
MOYENNE D’ÉQUIPE100.0071618671725961584454526438505105059
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
1Keith Kinkaid100.0051445576545351565453306161050550321612,500$
2Adam Werner (R)100.0046445586464650534848304444050510262600,000$
Rayé
MOYENNE D’ÉQUIPE100.004944558150505155515130535305053
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
1Lukas VejdemoCaroline (Car)C/LW/RW6347-300372061015.00%613522.66112426000010053.85%1300001.0300000000
2Robin SaloCaroline (Car)D6167-5406724454.17%1414624.341231427011013000.00%000000.9600000000
3Jordan OesterleCaroline (Car)D6246-1004132041810.00%1517128.641011327011015000.00%000000.7000000001
4Ross JohnstonCaroline (Car)LW/RW6426-2602582251118.18%313923.17011326101250023.08%1300000.8600000010
5Gemel SmithCaroline (Car)C/LW/RW6235300192021969.52%113322.311125270000121162.96%16200000.7500000100
6Dominik KahunCaroline (Car)LW/RW62350006183310256.06%115425.8302210270001150053.06%4900000.6500000010
7Kole LindCaroline (Car)RW6145140149206165.00%313923.270117280000150042.86%1400000.7200000000
8John LeonardCaroline (Car)LW/RW6055-500211227120.00%19716.2001131000000028.57%700001.0300000000
9Lias AnderssonCaroline (Car)C/LW6134-300515174165.88%213722.97011626000040041.18%17000000.5800000000
10Logan StanleyCaroline (Car)D61340201023614677.14%1012721.271011100009010.00%000000.6300002100
11Linus WeissbachCaroline (Car)LW6123-4005416296.25%011118.5800000000001066.67%300000.5400000000
12Zack HayesCaroline (Car)D620212015454240.00%79515.860001200002000.00%000000.4200000000
13Krystof HrabikCaroline (Car)C/LW/RW6112-620111574514.29%110317.2100001000070054.62%11900000.3900000000
14Jonathan GrudenCaroline (Car)LW61010000140425.00%1223.7200023000000071.43%700000.9000000000
15Otto LeskinenCaroline (Car)D6000-66013510550.00%914624.47000727000011000.00%000000.00%00000000
16Jacob PaquetteCaroline (Car)D6000-100413110.00%313021.8300002700007000.00%000000.00%00000000
17Antti SaarelaCaroline (Car)C6000000030120.00%0264.4500000000000054.55%3300000.00%00000000
Statistiques d’équipe totales ou en moyenne102224062-314410155147258781548.53%77202019.81510157628612331222251.86%59000000.6100002221
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
1Keith KinkaidCaroline (Car)62210.8804.2533900242000000.00%060000
2Adam WernerCaroline (Car)10010.9591.7170002490000.00%006001
Statistiques d’équipe totales ou en moyenne72220.8963.814090026249000066001


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire 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 10Link
Adam Werner (contrat à 1 volet)Caroline (Car)G261995-01-01Yes202 Lbs6 ft5NoNoYes2Pro & Farm600,000$0$0$No600,000$Lien
Alan Quine (contrat à 1 volet)Caroline (Car)C/LW281993-02-25No203 Lbs6 ft0NoNoYes1Pro & Farm750,000$0$0$NoLien
Antti SaarelaCaroline (Car)C202001-06-27Yes187 Lbs5 ft11YesNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Dominik Kahun (contrat à 1 volet)Caroline (Car)LW/RW261995-07-02No175 Lbs5 ft11NoNoYes1Pro & Farm925,000$25,000$0$NoLien
Gemel Smith (contrat à 1 volet)Caroline (Car)C/LW/RW271994-04-16No203 Lbs5 ft10NoNoYes4Pro & Farm720,000$0$0$No720,000$720,000$720,000$Lien
Ilya SolovyovCaroline (Car)D212000-07-20Yes207 Lbs6 ft3YesNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Jacob PaquetteCaroline (Car)D221999-05-26Yes201 Lbs6 ft3YesNoNo1Pro & Farm600,000$0$0$NoLien
John LeonardCaroline (Car)LW/RW231998-08-07No183 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Jonathan GrudenCaroline (Car)LW212000-05-04Yes172 Lbs6 ft0NoNoNo3Pro & Farm788,333$0$0$No788,333$788,333$Lien
Jordan Oesterle (contrat à 1 volet)Caroline (Car)D291992-06-25No182 Lbs6 ft0NoNoYes5Pro & Farm1,100,000$200,000$0$No1,100,000$1,100,000$1,100,000$1,100,000$Lien
Keith Kinkaid (contrat à 1 volet)Caroline (Car)G321989-07-03No186 Lbs6 ft3NoNoYes1Pro & Farm612,500$0$0$NoLien
Kole LindCaroline (Car)RW221998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Krystof HrabikCaroline (Car)C/LW/RW221999-07-24Yes216 Lbs6 ft4YesNoNo1Pro & Farm600,000$0$0$NoLien
Lias AnderssonCaroline (Car)C/LW221998-10-13No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Linus WeissbachCaroline (Car)LW231998-04-19No176 Lbs5 ft10NoNoNo5Pro & Farm560,000$0$0$No560,000$560,000$560,000$560,000$Lien
Logan StanleyCaroline (Car)D231998-05-25No228 Lbs6 ft7NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Lukas VejdemoCaroline (Car)C/LW/RW251996-01-25No194 Lbs6 ft2NoNoYes2Pro & Farm700,000$0$0$No700,000$Lien
Matty BeniersCaroline (Car)C182002-11-05Yes174 Lbs6 ft2NoNoNo4Pro & Farm897,500$0$0$No897,500$897,500$897,500$
Otto LeskinenCaroline (Car)D241997-02-06No187 Lbs5 ft11YesNoYes2Pro & Farm600,000$0$0$No600,000$Lien
Robin SaloCaroline (Car)D221998-10-13No187 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Ross Johnston (contrat à 1 volet)Caroline (Car)LW/RW271994-02-18No235 Lbs6 ft5NoNoYes1Pro & Farm850,000$0$0$NoLien
Sami NikuCaroline (Car)D241996-10-10No176 Lbs6 ft1YesNoYes1Pro & Farm600,000$0$0$NoLien
Zack HayesCaroline (Car)D221999-04-24No218 Lbs6 ft3YesNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.87194 Lbs6 ft12.17745,797$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunGemel SmithKole Lind40122
2Ross JohnstonLias AnderssonLukas Vejdemo30122
3John LeonardKrystof HrabikLinus Weissbach20122
4Linus WeissbachAntti SaarelaDominik Kahun10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleLogan Stanley40122
2Otto LeskinenRobin Salo30122
3Zack HayesJacob Paquette20122
4Jacob PaquetteJordan Oesterle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunGemel SmithKole Lind60122
2Ross JohnstonLias AnderssonLukas Vejdemo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJacob Paquette60122
2Otto LeskinenRobin Salo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunKole Lind60122
2Ross JohnstonGemel Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleLogan Stanley60122
2Otto LeskinenRobin Salo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominik Kahun60122Jordan OesterleJacob Paquette60122
2Kole Lind40122Otto LeskinenRobin Salo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunKole Lind60122
2Ross JohnstonGemel Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleZack Hayes60122
2Otto LeskinenRobin Salo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunGemel SmithKole LindJordan OesterleLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunGemel SmithKole LindJordan OesterleLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Gruden, John Leonard, Krystof HrabikJonathan Gruden, John LeonardKrystof Hrabik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Hayes, Jordan Oesterle, Jacob PaquetteZack HayesJordan Oesterle, Jacob Paquette
Tirs de pénalité
Dominik Kahun, Kole Lind, Ross Johnston, Gemel Smith, Lias Andersson
Gardien
#1 : Keith Kinkaid, #2 : Adam Werner


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
1Seattle624000002226-4312000001013-3312000001213-140.33322406200967025866858819249774415533515.15%17382.35%111723749.37%13024153.94%5911252.68%170117152518744
Total624000002226-4312000001013-3312000001213-140.33322406200967025866858819249774415533515.15%17382.35%111723749.37%13024153.94%5911252.68%170117152518744
_Since Last GM Reset624000002226-4312000001013-3312000001213-140.33322406200967025866858819249774415533515.15%17382.35%111723749.37%13024153.94%5911252.68%170117152518744
_Vs Conference624000002226-4312000001013-3312000001213-140.33322406200967025866858819249774415533515.15%17382.35%111723749.37%13024153.94%5911252.68%170117152518744

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L2224062258249774415500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001013
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001213
Derniers 10 matchs
WLOTWOTL SOWSOL
220200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33515.15%17382.35%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
668588199670
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
11723749.37%13024153.94%5911252.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170117152518744


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 - 2023-04-185Caroline5Seattle4AWSommaire du match
4 - 2023-04-2013Caroline5Seattle6ALXSommaire du match
6 - 2023-04-2221Seattle6Caroline5BLXSommaire du match
8 - 2023-04-2429Seattle3Caroline4BWSommaire du match
10 - 2023-04-2637Caroline2Seattle3ALSommaire du match
12 - 2023-04-2845Seattle4Caroline1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 76,000$228,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,159,583$ 1,159,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Caroline Leaders statistiques (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 (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