Connexion

Caroline
GP: 73 | W: 46 | L: 16 | OTL: 11 | P: 103
GF: 178 | GA: 137 | PP%: 15.18% | PK%: 88.76%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #1150 vs Cougars
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Marlies
41-22-8, 90pts
1
FINAL
3 Caroline
46-16-11, 103pts
Team Stats
W1SéquenceSOL1
24-7-4Fiche domicile25-5-7
17-15-4Fiche domicile21-11-4
6-3-1Derniers 10 matchs6-1-3
2.20Buts par match 2.44
1.89Buts contre par match 1.88
10.05%Pourcentage en avantage numérique15.18%
84.80%Pourcentage en désavantage numérique88.76%
Caroline
46-16-11, 103pts
2
FINAL
3 Manchots
38-26-7, 83pts
Team Stats
SOL1SéquenceW2
25-5-7Fiche domicile18-15-3
21-11-4Fiche domicile20-11-4
6-1-3Derniers 10 matchs6-3-1
2.44Buts par match 2.23
1.88Buts contre par match 1.79
15.18%Pourcentage en avantage numérique14.23%
88.76%Pourcentage en désavantage numérique83.49%
Cougars
35-31-6, 76pts
2024-03-28
Caroline
46-16-11, 103pts
Statistiques d’équipe
W1SéquenceSOL1
21-15-1Fiche domicile25-5-7
14-16-5Fiche visiteur21-11-4
6-3-110 derniers matchs6-1-3
2.83Buts par match 2.44
3.00Buts contre par match 2.44
15.49%Pourcentage en avantage numérique15.18%
81.22%Pourcentage en désavantage numérique88.76%
Caroline
46-16-11, 103pts
2024-03-30
Rocket
32-31-8, 72pts
Statistiques d’équipe
SOL1SéquenceW1
25-5-7Fiche domicile16-16-2
21-11-4Fiche visiteur16-15-6
6-1-310 derniers matchs4-5-1
2.44Buts par match 2.04
1.88Buts contre par match 2.04
15.18%Pourcentage en avantage numérique12.50%
88.76%Pourcentage en désavantage numérique85.71%
Bruins
43-22-9, 95pts
2024-04-04
Caroline
46-16-11, 103pts
Statistiques d’équipe
L1SéquenceSOL1
26-7-5Fiche domicile25-5-7
17-15-4Fiche visiteur21-11-4
4-3-310 derniers matchs6-1-3
2.19Buts par match 2.44
1.62Buts contre par match 2.44
16.53%Pourcentage en avantage numérique15.18%
88.55%Pourcentage en désavantage numérique88.76%
Meneurs d'équipe
Buts
Kole Lind
26
Passes
Logan Stanley
30
Points
Kole Lind
51
Plus/Moins
Ilya Solovyov
22
Victoires
Arvid Soderblom
50
Pourcentage d’arrêts
Ryan Fanti
1

Statistiques d’équipe
Buts pour
178
2.44 GFG
Tirs pour
1286
17.62 Avg
Pourcentage en avantage numérique
15.2%
34 GF
Début de zone offensive
39.0%
Buts contre
137
1.88 GAA
Tirs contre
1300
17.81 Avg
Pourcentage en désavantage numérique
88.8%%
30 GA
Début de la zone défensive
39.1%
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 Pro25
Équipe Mineure19
Limite contact 44 / 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
1Arvid Soderblom (R)100.0077707075737371717473715651050660232883,750$
2Strauss Mann (R)100.0069616159636365626464585150050580243842,500$
Rayé
1Ryan Fanti (R)100.0059575766605757535859535150050540233883,750$
MOYENNE D’ÉQUIPE100.006863636765646462656561535005059
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)RW732625511710089891984211613.13%6132018.095712341850002246045.36%9700110.77218000388
2Logan StanleyCaroline (Car)D731630461273516890101376315.84%68174723.949716581920000223600%000000.5302001652
3Gemel SmithCaroline (Car)C7314284219495101158108237312.96%15159021.7938111618311232352256.62%179100000.5358001533
4William LagessonCaroline (Car)D73528331248091777125587.04%74170123.314913391850111210100%000000.3923000133
5John LeonardCaroline (Car)LW/RW73181432142004385128389414.06%10132218.112351617800011435350.72%6900000.48114000434
6Tim GettingerCaroline (Car)LW/RW73121729193401025992206113.04%13158521.721671518110142310346.36%11000000.37318000125
7Linus WeissbachCaroline (Car)LW/RW601118299240506369246915.94%3106317.73268914600001043453.25%16900000.5502000212
8Jonathan GrudenCaroline (Car)LW7314152942606679108246512.96%3101813.96022876000021155.03%16900010.5702000225
9Ilya SolovyovCaroline (Car)D733252822560128623612258.33%46124617.070000340000102020%000000.4500000200
10Zack HayesCaroline (Car)D7381927205601034030121526.67%29116615.97101320000016210%000000.4600000243
11Shane BowersCaroline (Car)C731115265280849371144315.49%498313.481012230000662048.97%77400000.5300000631
12Sami NikuCarolineD6032225014046762391713.04%43123820.64268181420110169000%000000.4000000222
13Robin SaloCaroline (Car)D73520255440117646021348.33%66153521.04336371700002205300%000000.3300000130
14Lukas VejdemoCaroline (Car)C/LW/RW524151915295597334162811.76%289317.1706661070001821066.93%62600000.4300000032
15Ross JohnstonCaroline (Car)LW34861426810955452235715.38%362718.461018330001222151.62%37000000.4511002133
16Justin AlmeidaCaroline (Car)C7384122215347051172615.69%387712.0200002000043061.39%46100000.2700001112
17Callan FooteCaroline (Car)D28145380341255420.00%62318.250000600006010%000000.4302000000
18Blake McLaughlinCaroline (Car)LW450330201318238180%24459.910002130000500057.14%1400000.1300000000
19Krystof HrabikCaroline (Car)C/LW/RW73123146104624207125.00%45727.85000112000000070.97%3100000.1000110000
20Otto LeskinenCaroline (Car)D34011000513230%3842.480002190000320025.00%400000.2400000000
21Antti SaarelaCaroline (Car)C391012002432133.33%148012.3200000000000052.63%1900000.0400000000
22Jacob PaquetteCaroline (Car)D13000000000000%070.550000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne13141693114801836564014761291128638188213.14%4042174016.553463972741918235151935371856.12%470400120.441470115394645
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 SoderblomCaroline (Car)72501480.9111.51432401510912240110.76551720852
2Strauss MannCaroline (Car)46271260.8931.82277445847870000.791434528600
3Ryan FantiCaroline (Car)10001.0000270001300000045000
Statistiques d’équipe totales ou en moyenne1197726140.9051.637125420193202401194117731452


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$68,750$0$0$NoLien
Arvid SoderblomCaroline (Car)G231999-08-19Yes180 Lbs6 ft3NoNoNoNo2Pro & Farm883,750$101,263$0$0$No883,750$Lien
Blake McLaughlinCaroline (Car)LW222000-02-14Yes161 Lbs5 ft11NoNoNoNo2Pro & Farm825,000$94,531$0$0$No825,000$Lien
Callan FooteCaroline (Car)D231998-12-13No224 Lbs6 ft5NoNoNoNo2Pro & Farm1,000,000$114,583$0$0$No1,000,000$Lien
Gemel Smith (contrat à 1 volet)Caroline (Car)C281994-04-16No203 Lbs5 ft10NoNoYesYes3Pro & Farm720,000$82,500$0$0$No720,000$720,000$Lien
Ilya SolovyovCaroline (Car)D222000-07-20Yes207 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$68,750$0$0$NoLien
Jacob PaquetteCaroline (Car)D231999-05-26Yes201 Lbs6 ft3NoNoNoNo2Pro & Farm650,000$74,479$0$0$No650,000$Lien
John LeonardCaroline (Car)LW/RW241998-08-07No183 Lbs5 ft11NoNoYesYes2Pro & Farm900,000$103,125$0$0$No900,000$Lien
Jonathan GrudenCaroline (Car)LW222000-05-04Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm788,333$90,330$0$0$No788,333$Lien
Justin AlmeidaCaroline (Car)C231999-02-06No165 Lbs5 ft11NoNoNoNo2Pro & Farm809,166$92,717$0$0$No809,166$Lien
Kole LindCaroline (Car)RW231998-10-16No179 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$103,125$0$0$NoLien
Krystof HrabikCaroline (Car)C/LW/RW231999-07-24Yes216 Lbs6 ft4NoNoNoNo1Pro & Farm650,000$74,479$0$0$NoLien
Linus WeissbachCaroline (Car)LW/RW241998-04-19No161 Lbs5 ft8NoNoYesYes4Pro & Farm560,000$64,167$0$0$No560,000$560,000$560,000$Lien
Logan StanleyCaroline (Car)D241998-05-26No242 Lbs6 ft7NoNoYesYes1Pro & Farm1,000,000$114,583$0$0$NoLien
Lukas VejdemoCaroline (Car)C/LW/RW261996-01-25No194 Lbs6 ft2NoNoYesYes1Pro & Farm700,000$80,208$0$0$NoLien
Otto LeskinenCaroline (Car)D251997-02-06No187 Lbs5 ft11NoNoYesYes1Pro & Farm600,000$68,750$0$0$NoLien
Robin SaloCaroline (Car)D231998-10-13No187 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$80,208$0$0$NoLien
Ross Johnston (contrat à 1 volet)Caroline (Car)LW281994-02-18No230 Lbs6 ft5NoNoYesYes1Pro & Farm750,000$85,938$0$0$NoLien
Ryan FantiCaroline (Car)G231999-10-03Yes194 Lbs6 ft3NoNoNoNo3Pro & Farm883,750$101,263$0$0$No883,750$883,750$Lien
Shane BowersCaroline (Car)C231999-07-30Yes185 Lbs6 ft2NoNoNoNo1Pro & Farm925,002$105,990$0$0$NoLien
Strauss MannCaroline (Car)G241998-08-18Yes174 Lbs6 ft0NoNoYesYes3Pro & Farm842,500$96,536$0$0$No842,500$842,500$
Tim GettingerCaroline (Car)LW/RW241998-04-14No220 Lbs6 ft6NoNoYesYes1Pro & Farm900,000$103,125$0$0$NoLien
William LagessonCaroline (Car)D261996-02-22No207 Lbs6 ft2NoNoYesYes2Pro & Farm800,000$91,667$0$0$No800,000$Lien
Zack HayesCaroline (Car)D231999-04-24No218 Lbs6 ft3NoNoNoNo2Pro & Farm600,000$68,750$0$0$No600,000$Lien
Zack Kassian (contrat à 1 volet)Caroline (Car)RW311991-01-24No211 Lbs6 ft3NoNoYesYes1Pro & Farm713,000$81,698$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.04196 Lbs6 ft21.72772,020$



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 : Arvid Soderblom, #2 : Strauss Mann


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
1Admirals211000004311010000023-11100000020220.5004812016646561533417403437994281649300.00%80100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
2Baby Hawks11000000202110000002020000000000021.0002460166465615154174034379914108113133.33%40100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
3Bears320000101037110000004132100001062461.00010142400664656155441740343799342040639111.11%100100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
4Bruins11000000211000000000001100000021121.000224006646561512417403437998712212150.00%5180.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
5Cabaret Lady Mary Ann32000001642210000014311100000021150.833610160166465615454174034379955912631119.09%60100.00%11043183356.90%1027183855.88%570103355.18%189013321657515930484
6Chiefs1010000012-11010000012-10000000000000.000123006646561513417403437991471723200.00%50100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
7Chill22000000624110000003121100000031241.000612180066465615304174034379935123344400.00%90100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
8Comets21000001660110000003211000000134-130.7506101600664656154741740343799341320508225.00%10190.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
9Cougars200001107701000010045-11000001032130.7507111800664656152741740343799491220456116.67%100100.00%11043183356.90%1027183855.88%570103355.18%189013321657515930484
10Crunch31100001990210000018711010000012-130.5009162500664656156641740343799681710637114.29%4250.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
11Heat210000015321000000123-11100000030330.75051015016646561536417403437992981432600.00%70100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
12Jayhawks220000001037110000004131100000062441.00010192900664656155241740343799421116454125.00%70100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
13Las Vegas22000000532110000003211100000021141.0005914006646561535417403437993392441200.00%12191.67%01043183356.90%1027183855.88%570103355.18%189013321657515930484
14Manchots40100012610-4200000113302010000137-440.500691500664656156841740343799692334761200.00%16475.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
15Marlies32100000532110000003122110000022040.667591401664656153641740343799632232375120.00%14192.86%01043183356.90%1027183855.88%570103355.18%189013321657515930484
16Minnesota21000100871110000004221000010045-130.7508142200664656153841740343799411721475240.00%5180.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
17Monarchs21000010743100000102111100000053241.000711180066465615434174034379922714619222.22%7271.43%01043183356.90%1027183855.88%570103355.18%189013321657515930484
18Monsters21000010532100000104311100000010141.000581301664656153141740343799341110267228.57%3166.67%01043183356.90%1027183855.88%570103355.18%189013321657515930484
19Monsters21001000422100010003211100000010141.0004812016646561533417403437993310224810110.00%90100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
20Oceanics2000000235-21000000112-11000000123-120.50036900664656153341740343799422012444125.00%60100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
21Oil Kings21100000743110000005141010000023-120.5007121900664656152541740343799511022406233.33%10370.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
22Phantoms4210001010100220000007432010001036-360.750101727006646561584417403437995215248418211.11%7185.71%01043183356.90%1027183855.88%570103355.18%189013321657515930484
23Rocket21000001523210000015230000000000030.75059140166465615374174034379936121634800.00%80100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
24Sags21100000330110000003121010000002-220.50036900664656153241740343799271010495120.00%50100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
25Seattle2020000003-31010000002-21010000001-100.000000006646561528417403437992562137700.00%8187.50%01043183356.90%1027183855.88%570103355.18%189013321657515930484
26Senators311000107521010000001-12100001074340.6677111800664656155441740343799471914311400.00%6183.33%01043183356.90%1027183855.88%570103355.18%189013321657515930484
27Sound Tigers412000108802010001045-12110000043140.50081422016646561573417403437996813386915426.67%15566.67%01043183356.90%1027183855.88%570103355.18%189013321657515930484
28Spiders3210000056-1220000004221010000014-340.66751015016646561553417403437994818287210440.00%13284.62%01043183356.90%1027183855.88%570103355.18%189013321657515930484
29Stars2110000056-1110000004131010000015-420.50058130066465615354174034379943113532600.00%100100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
30Thunder32100000743110000003122110000043140.6677142101664656157441740343799791729708112.50%100100.00%01043183356.90%1027183855.88%570103355.18%189013321657515930484
31Wolf Pack320000101064100000104312200000063361.00010182800664656154441740343799632036698225.00%18383.33%01043183356.90%1027183855.88%570103355.18%189013321657515930484
Total7336160129917813741371950115699673236171100143797091030.70517831148901166465615128641740343799130040466014762243415.18%2673088.76%21043183356.90%1027183855.88%570103355.18%189013321657515930484
_Since Last GM Reset7336160129917813741371950115699673236171100143797091030.70517831148901166465615128641740343799130040466014762243415.18%2673088.76%21043183356.90%1027183855.88%570103355.18%189013321657515930484
_Vs Conference3015601215806119181020110452351712540011128262410.68380142222056646561553241740343799567162278611911213.19%115992.17%21043183356.90%1027183855.88%570103355.18%189013321657515930484

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
73103SOL1178311489128613004046601476011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7336161299178137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3719511569967
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36171101437970
Derniers 10 matchs
WLOTWOTL SOWSOL
610003
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2243415.18%2673088.76%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
4174034379966465615
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
1043183356.90%1027183855.88%570103355.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
189013321657515930484


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 - 2024-03-281150Cougars-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
Assistance71,29136,185
Assistance PCT96.34%97.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 2905 - 96.83% 88,071$3,258,641$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,993,373$ 3,324,750$ 3,324,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,316$ 1,993,373$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
352,286$ 22 17,316$ 380,952$




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