Connexion

Caroline
GP: 82 | W: 23 | L: 48 | OTL: 11 | P: 57
GF: 282 | GA: 381 | PP%: 24.23% | PK%: 71.37%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Monsters
46-29-7, 99pts
2
FINAL
3 Caroline
23-48-11, 57pts
Team Stats
SOL1StreakW3
23-14-4Home Record17-19-5
23-15-3Away Record6-29-6
5-4-1Last 10 Games5-3-2
3.90Goals Per Game3.44
3.60Goals Against Per Game4.65
22.82%Power Play Percentage24.23%
79.21%Penalty Kill Percentage71.37%
Caroline
23-48-11, 57pts
5
FINAL
1 Bruins
62-19-1, 125pts
Team Stats
W3StreakL1
17-19-5Home Record32-9-0
6-29-6Away Record30-10-1
5-3-2Last 10 Games5-4-1
3.44Goals Per Game3.93
4.65Goals Against Per Game2.57
24.23%Power Play Percentage20.09%
71.37%Penalty Kill Percentage85.45%
Meneurs d'équipe
Buts
Mathieu Joseph
27
Passes
Mathieu Joseph
32
Points
Mathieu Joseph
59
Plus/Moins
Mathieu Joseph
6
Victoires
Akira Schmid
20
Pourcentage d’arrêts
Adin Hill
0.948

Statistiques d’équipe
Buts pour
282
3.44 GFG
Tirs pour
3051
37.21 Avg
Pourcentage en avantage numérique
24.2%
63 GF
Début de zone offensive
39.3%
Buts contre
381
4.65 GAA
Tirs contre
3472
42.34 Avg
Pourcentage en désavantage numérique
71.4%
65 GA
Début de la zone défensive
40.3%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,923
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 50
Espoirs7


Historique d'équipe

Saison actuelle23-48-11 (57PTS)
Historique23-48-11 (0.280%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


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
1Lias AnderssonXX100.00614184787162686145616471255555050620211925,000$
2Juho Lammikko (R)XX100.00764492727257785967525978254848050610243700,000$
3Yakov TreninXX100.00864585637559776235616073255252050610232900,000$
4Kole LindX100.00686672676661606850597362694444050600211891,666$
5John Leonard (R)XX100.00674298726658676625685859254848050590222925,000$
6Alan QuineX100.00787390757352525569604467425556050580272750,000$
7Joe GambardellaXX100.00767187637162635873535864554444050570261450,000$
8Lukas VejdemoXXX100.00747279647262645873506263594444050570243700,000$
9Ross JohnstonXX100.00994931688852505233585561255152050570262850,000$
10Nicholas CaamanoXX100.00824580637654615825545568254747050570221720,000$
11Jonathan Gruden (R)X100.00716487616467705750535761544444050560204788,333$
12Radim SimekX100.008445886672647260254948792559590506402842,000,000$
13Brad HuntX100.006140897762595980253949692564650506203231,625,000$
14Luca SbisaX100.008376997776464844252839713772740506003021,400,000$
15Andreas BorgmanX100.00787487677458605525375667535555050590251925,000$
16Logan StanleyX100.00784580628761665825474863254747050590221925,000$
17Christian WolaninX100.00594186797062476725524760255959050590252875,000$
Rayé
1Brandon GignacXX100.00676485626359644964514763455555050540221742,500$
2Tanner KaspickX100.00747377657359625063474761454444050540221650,000$
3Linus Weissbach (R)X100.00443779695655694652473643395858050490226560,000$
4Casey FitzgeraldX100.00697065616457525828554662404444050550231700,000$
5Michael KaplaX100.007271875773585648254538663844440505502621,200,000$
6Robin Salo (R)X100.00474489676762805025464650485858050550213700,000$
MOYENNE D’ÉQUIPE100.0072568268715963574151526438525205058
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Adin Hill100.0069596386746475697869754848050670
2Akira Schmid (R)100.0063766884576267656162635050050630
Rayé
1Adam Werner (R)100.0056556986586155626159334844050590
2Marcus Hogberg100.0055586487595149576055754747050570
3Kasimir Kaskisuo100.0047526581464844504645334844050510
MOYENNE D’ÉQUIPE100.005860668559575861615856484705059
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
1Lias AnderssonCaroline (Car)C/LW82484795-2226012620641013533711.71%27177621.66912216720200082047242.62%36600131.07312000733
2Kole LindCaroline (Car)RW82395089-234952601213868828410.10%28151018.428162470203000083347.58%12400021.1801001555
3Yakov TreninCaroline (Car)C/LW82404282-376003371914461403418.97%44151718.5071926882040002512336.03%24700011.0838000774
4Radim SimekCaroline (Car)D82205070-52560292103231711238.66%193185522.631016261212110001152000.00%000000.7500000042
5Brad HuntCaroline (Car)D82164864-532004089260801726.15%141186622.76914231312090005169100.00%000000.6900000102
6Andreas BorgmanCaroline (Car)D82174663-2062017373192731368.85%175162419.8281018931970001137000.00%000000.7800000132
7Christian WolaninCaroline (Car)D82134760-1677519110713544959.63%165140017.08202173300004000.00%000000.8600001124
8Mathieu JosephCarolineLW/RW612732596160101110281601869.61%15116019.03391250155000036140.00%9500001.0229000634
9Luca SbisaCaroline (Car)D82114152-18733514876150581047.33%170160519.5741317741910003138110.00%000000.6500223013
10Alan QuineCaroline (Car)C82123345-216084167146571268.22%2898612.03011420000022152.26%121700000.9100000100
11Lukas VejdemoCaroline (Car)C/LW/RW82201636-314091891884814210.64%26106613.011347220003961255.00%6000000.6711000123
12Ross JohnstonCaroline (Car)LW/RW82141125-30481017273202441406.93%246838.3300000000040033.33%3600000.7300020002
13Joe GambardellaCaroline (Car)C/LW50101121860404094297210.64%659611.92000010001171051.28%3900000.7000000100
14Logan StanleyCaroline (Car)D57314173400106396215364.84%62119120.91156171230002135000.00%000000.2900000002
15Jonathan GrudenCaroline (Car)LW416915-52033267011458.57%63989.7300001000030041.94%3100000.7500000001
16Juho LammikkoCaroline (Car)C/LW8516410012144861810.42%617121.403039130002190150.82%6100000.7001000021
17John LeonardCaroline (Car)LW/RW622410026167812.50%111419.0301107000000120.00%1000000.7011000000
18Nicholas CaamanoCaroline (Car)LW/RW6000000123140.00%0233.9300000000000050.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne1131303500803-2595755522091532332096723699.13%11171954917.29651191847481799000281149241547.64%228800160.821033245313238
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
1Akira SchmidCaroline (Car)52202840.9303.66308012118826860010.643145261653
2Adin HillCaroline (Car)65010.9481.9636800122330000.667660300
Statistiques d’équipe totales ou en moyenne58252850.9313.48344812120029190010.650205861953


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 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 WernerCaroline (Car)G251995-01-01Yes202 Lbs6 ft5NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Adin HillCaroline (Car)G241996-05-11No202 Lbs6 ft6YesNoNo4Pro & Farm2,000,000$200,000$0$No2,000,000$2,000,000$2,000,000$Lien
Akira SchmidCaroline (Car)G202000-05-12Yes195 Lbs6 ft5NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Alan QuineCaroline (Car)C271993-02-24No203 Lbs6 ft0NoNoNo2Pro & Farm750,000$75,000$0$No750,000$Lien
Andreas BorgmanCaroline (Car)D251995-06-17No205 Lbs6 ft0NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Brad HuntCaroline (Car)D321988-08-23No177 Lbs5 ft9NoNoNo3Pro & Farm750,000$162,500$0$No750,000$500,000$Lien
Brandon GignacCaroline (Car)C/LW221997-11-07No173 Lbs5 ft11NoNoNo1Pro & Farm742,500$74,250$0$NoLien
Casey FitzgeraldCaroline (Car)D231997-02-24No178 Lbs5 ft11NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Christian WolaninCaroline (Car)D251995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm875,000$87,500$0$No875,000$Lien
Joe GambardellaCaroline (Car)C/LW261993-12-01No201 Lbs5 ft10NoNoNo1Pro & Farm450,000$45,000$0$NoLien
John LeonardCaroline (Car)LW/RW221998-08-07Yes183 Lbs5 ft11NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Jonathan GrudenCaroline (Car)LW202000-05-03Yes172 Lbs6 ft0NoNoNo4Pro & Farm788,333$78,833$0$No788,333$788,333$788,333$Lien
Juho LammikkoCaroline (Car)C/LW241996-01-29Yes191 Lbs6 ft2NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Lien
Kasimir KaskisuoCaroline (Car)G271993-10-01No203 Lbs6 ft3NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Kole LindCaroline (Car)RW211998-10-16No178 Lbs6 ft1NoNoNo1Pro & Farm891,666$89,167$0$NoLien
Lias AnderssonCaroline (Car)C/LW211998-10-13No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Linus WeissbachCaroline (Car)LW221998-04-19Yes161 Lbs5 ft8YesNoNo6Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$560,000$560,000$Lien
Logan StanleyCaroline (Car)D221998-05-25No228 Lbs6 ft7NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Luca SbisaCaroline (Car)D301990-01-30No209 Lbs6 ft2NoNoNo2Pro & Farm1,400,000$140,000$0$No1,400,000$Lien
Lukas VejdemoCaroline (Car)C/LW/RW241996-01-25No194 Lbs6 ft2NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Lien
Marcus HogbergCaroline (Car)G251994-11-24No209 Lbs6 ft5NoNoNo2Pro & Farm825,000$82,500$0$No825,000$Lien
Michael KaplaCaroline (Car)D261994-09-19No200 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$120,000$0$No1,200,000$Lien
Nicholas CaamanoCaroline (Car)LW/RW221998-09-07No201 Lbs6 ft3NoNoNo1Pro & Farm720,000$72,000$0$NoLien
Radim SimekCaroline (Car)D281992-09-20No200 Lbs5 ft11NoNoNo4Pro & Farm2,000,000$200,000$0$No2,000,000$2,000,000$2,000,000$Lien
Robin SaloCaroline (Car)D211998-10-13Yes185 Lbs6 ft0NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Lien
Ross JohnstonCaroline (Car)LW/RW261994-02-18No235 Lbs6 ft5NoNoNo2Pro & Farm850,000$85,000$0$No850,000$Lien
Tanner KaspickCaroline (Car)C221998-01-28No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Yakov TreninCaroline (Car)C/LW231997-01-13No201 Lbs6 ft2NoNoNo2Pro & Farm900,000$90,000$0$No900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.11195 Lbs6 ft12.18887,946$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juho LammikkoLias AnderssonKole Lind40122
2John LeonardYakov TreninLukas Vejdemo30122
3Joe GambardellaAlan QuineRoss Johnston20122
4Nicholas CaamanoLias AnderssonJuho Lammikko10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekBrad Hunt40122
2Luca SbisaAndreas Borgman30122
3Christian WolaninLogan Stanley20122
4Radim SimekBrad Hunt10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juho LammikkoLias AnderssonKole Lind60122
2John LeonardYakov TreninLukas Vejdemo40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekBrad Hunt60122
2Luca SbisaAndreas Borgman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lias AnderssonJuho Lammikko60122
2Yakov TreninKole Lind40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekBrad Hunt60122
2Luca SbisaAndreas Borgman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lias Andersson60122Radim SimekBrad Hunt60122
2Juho Lammikko40122Luca SbisaAndreas Borgman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lias AnderssonJuho Lammikko60122
2Yakov TreninKole Lind40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekBrad Hunt60122
2Luca SbisaAndreas Borgman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juho LammikkoLias AnderssonKole LindRadim SimekBrad Hunt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juho LammikkoLias AnderssonKole LindRadim SimekBrad Hunt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Gruden, Alan Quine, Joe GambardellaJonathan Gruden, Alan QuineJoe Gambardella
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Wolanin, Logan Stanley, Luca SbisaChristian WolaninLogan Stanley, Luca Sbisa
Tirs de pénalité
Lias Andersson, Juho Lammikko, Yakov Trenin, Kole Lind, John Leonard
Gardien
#1 : Adin Hill, #2 : Akira Schmid


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
1Admirals20200000510-51010000047-31010000013-200.000581300106100691169940101010607678191053900.00%4250.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
2Baby Hawks20200000511-61010000026-41010000035-200.0005914001061006911659401010106076843117448337.50%6266.67%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
3Bears404000001017-720200000610-42020000047-300.000101626001061006911137940101010607618248221001218.33%11190.91%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
4Bruins321000001064110000002112110000085340.6671019290010610069118594010101060761356127774375.00%10190.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
5Cabaret Lady Mary Ann321000001214-2220000009721010000037-440.667122133001061006911147940101010607613142169110330.00%8187.50%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
6Chiefs20100001816-81000000156-110100000310-710.25081422001061006911639401010106076822815448112.50%5260.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
7Chill210010001275110000007341000100054141.00012213300106100691188940101010607683286576116.67%30100.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
8Comets21000001660110000004311000000123-130.7506111700106100691163940101010607695351442500.00%7271.43%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
9Cougars30300000817-91010000036-320200000511-600.00081321001061006911899401010106076120461872800.00%8362.50%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
10Crunch312000001416-21100000075220200000711-420.33314264000106100691115894010101060761053536829222.22%12558.33%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
11Heat20200000612-61010000037-41010000035-200.0006915001061006911619401010106076852210527228.57%5260.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
12Jayhawks211000009901010000036-31100000063320.500916250010610069117994010101060761004216477228.57%9366.67%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
13Las Vegas21000001990110000004311000000156-130.75091423001061006911779401010106076102266486233.33%3166.67%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
14Manchots413000001419-52110000099020200000510-520.25014233700106100691114894010101060761804324967342.86%11281.82%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
15Marlies311000011015-51100000042220100001613-730.500101727001061006911112940101010607611526238310330.00%9277.78%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
16Minnesota200010101192100000106511000100054141.0001119300010610069118394010101060767622104911100.00%5340.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
17Monarchs2020000036-31010000012-11010000024-200.0003580010610069116894010101060766618750200.00%10100.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
18Monsters403000101523-82010001078-120200000815-720.2501523380010610069111539401010106076183513110416743.75%11463.64%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
19Monsters2000010157-21000010034-11000000123-120.5005914001061006911829401010106076822985114321.43%4175.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
20Oceanics20200000511-61010000026-41010000035-200.0005914001061006911779401010106076603015467342.86%5260.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
21Oil Kings2010001057-2100000104311010000014-320.5005712001061006911779401010106076762614627114.29%7271.43%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
22Phantoms403000011120-920100001810-220200000310-710.125112132001061006911161940101010607619553349718527.78%17382.35%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
23Rocket312000001318-521100000911-21010000047-320.33313223500106100691111694010101060761304125711218.33%9544.44%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
24Senators30100101813-52010000148-41000010045-120.33381523001061006911104940101010607613243246810110.00%10190.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
25Sharks20200000712-51010000036-31010000046-200.0007101700106100691165940101010607690286538112.50%20100.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
26Sound Tigers413000001215-32020000059-42110000076120.250122032001061006911138940101010607614655169913215.38%8362.50%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
27Spiders4110110016142211000009722000110077050.625162844001061006911150940101010607616251167513538.46%7271.43%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
28Stars2010000159-41000000145-11010000014-310.25051015001061006911559401010106076903510537114.29%5180.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
29Thunder3110001013130210000109631010000047-340.66713223500106100691113894010101060761405024837342.86%13653.85%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
30Wolf Pack413000001520-521100000910-120200000610-420.250152540001061006911143940101010607616750291079333.33%12375.00%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
Total82164803348282381-9941131900144155181-264132903204127200-73570.348282482764001061006911305194010101060763472111452920562606324.23%2276571.37%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
_Since Last GM Reset82164803348282381-9941131900144155181-264132903204127200-73570.348282482764001061006911305194010101060763472111452920562606324.23%2276571.37%01031285036.18%1055292536.07%507147634.35%1877128020496071069526
_Vs Conference3271601125116160-441665001226677-1116111010035083-33260.4061162003160010610069111215940101010607613584602158081092220.18%933364.52%01031285036.18%1055292536.07%507147634.35%1877128020496071069526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8257W3282482764305134721114529205600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8216483348282381
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113190144155181
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
413293204127200
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2606324.23%2276571.37%0
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
94010101060761061006911
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
1031285036.18%1055292536.07%507147634.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1877128020496071069526


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 - 2021-10-138Rocket6Caroline3LSommaire du match
4 - 2021-10-1523Caroline1Bears3LSommaire du match
5 - 2021-10-1631Thunder2Caroline4WSommaire du match
7 - 2021-10-1836Caroline3Cabaret Lady Mary Ann7LSommaire du match
10 - 2021-10-2160Sound Tigers4Caroline3LSommaire du match
11 - 2021-10-2269Monsters6Caroline4LSommaire du match
14 - 2021-10-2591Caroline2Monarchs4LSommaire du match
15 - 2021-10-2697Caroline4Sharks6LSommaire du match
17 - 2021-10-28112Caroline1Admirals3LSommaire du match
23 - 2021-11-03148Caroline2Monsters6LSommaire du match
25 - 2021-11-05161Baby Hawks6Caroline2LSommaire du match
28 - 2021-11-08183Heat7Caroline3LSommaire du match
31 - 2021-11-11199Cougars6Caroline3LSommaire du match
32 - 2021-11-12211Spiders5Caroline4LSommaire du match
35 - 2021-11-15226Caroline2Phantoms4LSommaire du match
37 - 2021-11-17241Wolf Pack4Caroline6WSommaire du match
39 - 2021-11-19256Caroline4Senators5LXSommaire du match
41 - 2021-11-21271Senators3Caroline2LXXSommaire du match
44 - 2021-11-24286Caroline4Crunch6LSommaire du match
46 - 2021-11-26299Caroline5Minnesota4WXSommaire du match
49 - 2021-11-29326Caroline3Baby Hawks5LSommaire du match
51 - 2021-12-01336Phantoms5Caroline4LSommaire du match
53 - 2021-12-03357Cabaret Lady Mary Ann4Caroline5WSommaire du match
54 - 2021-12-04363Caroline1Cougars4LSommaire du match
57 - 2021-12-07381Caroline4Wolf Pack6LSommaire du match
59 - 2021-12-09401Chill3Caroline7WSommaire du match
60 - 2021-12-10408Caroline4Thunder7LSommaire du match
63 - 2021-12-13424Caroline3Bruins4LSommaire du match
65 - 2021-12-15443Sharks6Caroline3LSommaire du match
67 - 2021-12-17459Minnesota5Caroline6WXXSommaire du match
70 - 2021-12-20479Caroline1Oil Kings4LSommaire du match
72 - 2021-12-22496Caroline2Comets3LXXSommaire du match
74 - 2021-12-24504Caroline3Heat5LSommaire du match
77 - 2021-12-27530Caroline3Oceanics5LSommaire du match
79 - 2021-12-29544Caroline2Monsters3LXXSommaire du match
81 - 2021-12-31560Cabaret Lady Mary Ann3Caroline4WSommaire du match
83 - 2022-01-02569Caroline1Marlies7LSommaire du match
87 - 2022-01-06584Caroline2Wolf Pack4LSommaire du match
88 - 2022-01-07598Bears5Caroline3LSommaire du match
91 - 2022-01-10618Rocket5Caroline6WSommaire du match
94 - 2022-01-13639Bears5Caroline3LSommaire du match
96 - 2022-01-15655Thunder4Caroline5WXXSommaire du match
98 - 2022-01-17668Phantoms5Caroline4LXXSommaire du match
101 - 2022-01-20690Jayhawks6Caroline3LSommaire du match
102 - 2022-01-21697Monarchs2Caroline1LSommaire du match
104 - 2022-01-23712Caroline3Bears4LSommaire du match
107 - 2022-01-26733Caroline6Monsters9LSommaire du match
108 - 2022-01-27741Admirals7Caroline4LSommaire du match
110 - 2022-01-29756Sound Tigers5Caroline2LSommaire du match
112 - 2022-01-31764Oceanics6Caroline2LSommaire du match
122 - 2022-02-10788Las Vegas3Caroline4WSommaire du match
124 - 2022-02-12808Comets3Caroline4WSommaire du match
126 - 2022-02-14820Caroline3Chiefs10LSommaire du match
128 - 2022-02-16838Caroline6Jayhawks3WSommaire du match
130 - 2022-02-18854Caroline5Las Vegas6LXXSommaire du match
133 - 2022-02-21873Caroline1Stars4LSommaire du match
136 - 2022-02-24894Spiders2Caroline5WSommaire du match
138 - 2022-02-26908Oil Kings3Caroline4WXXSommaire du match
140 - 2022-02-28925Caroline5Chill4WXSommaire du match
143 - 2022-03-03942Wolf Pack6Caroline3LSommaire du match
144 - 2022-03-04951Caroline5Marlies6LXXSommaire du match
147 - 2022-03-07974Stars5Caroline4LXXSommaire du match
150 - 2022-03-10996Monsters4Caroline3LXSommaire du match
151 - 2022-03-111004Caroline4Rocket7LSommaire du match
156 - 2022-03-161037Caroline1Phantoms6LSommaire du match
158 - 2022-03-181049Caroline5Sound Tigers1WSommaire du match
159 - 2022-03-191059Caroline4Manchots7LSommaire du match
161 - 2022-03-211074Caroline4Cougars7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231086Caroline4Spiders3WXSommaire du match
165 - 2022-03-251104Manchots7Caroline4LSommaire du match
166 - 2022-03-261113Caroline3Crunch5LSommaire du match
168 - 2022-03-281126Crunch5Caroline7WSommaire du match
170 - 2022-03-301140Chiefs6Caroline5LXXSommaire du match
172 - 2022-04-011158Senators5Caroline2LSommaire du match
173 - 2022-04-021166Caroline2Sound Tigers5LSommaire du match
175 - 2022-04-041180Caroline1Manchots3LSommaire du match
177 - 2022-04-061195Marlies2Caroline4WSommaire du match
179 - 2022-04-081205Manchots2Caroline5WSommaire du match
180 - 2022-04-091219Caroline3Spiders4LXSommaire du match
182 - 2022-04-111232Bruins1Caroline2WSommaire du match
185 - 2022-04-141255Monsters2Caroline3WXXSommaire du match
186 - 2022-04-151260Caroline5Bruins1WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance79,66540,167
Assistance PCT97.15%97.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2923 - 97.42% 73,934$3,031,284$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,466,408$ 2,486,250$ 2,573,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,763$ 2,554,350$ 28 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,295$ 0$




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