Connexion

Chill
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Pigeon-Gosselin | Morale : 50 | Moyenne d’équipe : 55
Prochains matchs #1 vs Sharks
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Sharks
0-0-0, 0pts
2022-10-07
Chill
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Chill
0-0-0, 0pts
2022-10-08
Sharks
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Stars
0-0-0, 0pts
2022-10-13
Chill
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMaxime Pigeon-Gosselin
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure22
Limite contact 46 / 50
Espoirs27


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
1Joel L'EsperanceXX100.008078857078565464805965676244440506102622,240,000$
2Scott ReedyX100.00634290697659716953567263254747050610223800,000$
3A.J. GreerX100.00874692647651705956606062254646050590241800,000$
4Raphael Lavoie (R)XX100.00807591687557585771515965564444050580212870,000$
5Evan BarrattX100.00696870646861635670505860554444050560222870,000$
6Lauri Pajuniemi (R)X100.00746791656751505950536163584444050560223883,750$
7Gage Goncalves (R)X100.00726783636757575771506061574444050560204820,000$
8Yaroslav Likhachyok (R)X100.00443799716272915857515545585454050560204560,000$
9Luke Toporowski (R)X100.00453999696569895455445544585454050540204560,000$
10Jakub Lauko (R)XX100.00666471676457595164524657444444050530213764,167$
11Josh Lopina (R)X100.00767286617238355164514662444444050520204878,333$
12Jay O'Brien (R)X100.00484584676748524954394847535454050500213895,000$
13Jacob Bernard-Docker (R)X100.00654285757065625825504765254545050590213925,000$
14Ben GleasonX100.00716977636968715625524661444444050580231770,000$
15John Ludvig (R)X100.00707571627554555425474661464444050550212853,333$
16Samuel Sjolund (R)X100.00453999656465953925393243345454050520204560,000$
17Josh Maniscalco (R)X100.00757684597644463925263660364444050510223853,333$
Rayé
1Vladislav Firstov (R)X100.00474199666756724552374443465454050490204925,000$
2Patrick Moynihan (R)X100.00474299656858784253383842405454050480204560,000$
MOYENNE D’ÉQUIPE100.0064578766705765545148515646474705055
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
1Frederik Nissen Dichow (R)100.0062696583606259616061615454050620204560,000$
2Rasmus Korhonen (R)100.0044405085454445494545454444050490184650,000$
Rayé
1Tuukka Rask100.00465265714592455190814573780506403435,285,714$
2Keith Petruzzelli (R)100.0044405080454445494545454444050480222700,000$
3Lukas Parik (R)100.0044405078454445494545454444050480204700,000$
MOYENNE D’ÉQUIPE100.004848567948574852575548525305054
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
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


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
A.J. GreerChill (Nas)LW241996-12-14No204 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$80,000$80,000$NoLien
Ben GleasonChill (Nas)D231998-03-25No185 Lbs6 ft1NoNoNo1Pro & Farm770,000$770,000$77,000$77,000$NoLien
Evan BarrattChill (Nas)C221999-02-18No188 Lbs6 ft0NoNoNo2Pro & Farm870,000$870,000$87,000$87,000$No870,000$Lien
Frederik Nissen DichowChill (Nas)G202001-03-01Yes192 Lbs6 ft5NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Gage GoncalvesChill (Nas)C202001-01-16Yes181 Lbs6 ft0NoNoNo4Pro & Farm820,000$820,000$82,000$82,000$No820,000$820,000$820,000$Lien
Jacob Bernard-DockerChill (Nas)D212000-06-30Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$92,500$92,500$No925,000$925,000$Lien
Jakub LaukoChill (Nas)C/LW212000-03-28Yes170 Lbs6 ft0NoNoNo3Pro & Farm764,167$764,167$76,417$76,417$No764,167$764,167$Lien
Jay O'BrienChill (Nas)C211999-11-04Yes185 Lbs6 ft0NoNoNo3Pro & Farm895,000$895,000$89,500$89,500$No895,000$895,000$Lien
Joel L'EsperanceChill (Nas)C/RW261995-08-18No210 Lbs6 ft2NoNoNo2Pro & Farm800,000$2,240,000$224,000$224,000$No800,000$Lien
John LudvigChill (Nas)D212000-08-02Yes205 Lbs6 ft1NoNoNo2Pro & Farm853,333$853,333$85,333$85,333$No853,333$Lien
Josh LopinaChill (Nas)C202001-02-16Yes194 Lbs6 ft2NoNoNo4Pro & Farm878,333$878,333$87,833$87,833$No878,333$878,333$878,333$Lien
Josh ManiscalcoChill (Nas)D221999-02-17Yes205 Lbs6 ft2NoNoNo3Pro & Farm853,333$853,333$85,333$85,333$No853,333$853,333$Lien
Keith PetruzzelliChill (Nas)G221999-02-09Yes185 Lbs6 ft5NoNoNo2Pro & Farm700,000$700,000$70,000$70,000$No700,000$Lien
Lauri PajuniemiChill (Nas)RW221999-09-12Yes183 Lbs6 ft0NoNoNo3Pro & Farm883,750$883,750$88,375$88,375$No883,750$883,750$Lien
Lukas ParikChill (Nas)G202001-03-15Yes185 Lbs6 ft4NoNoNo4Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$700,000$Lien
Luke ToporowskiChill (Nas)LW202001-04-12Yes181 Lbs5 ft11NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Patrick MoynihanChill (Nas)C202001-01-23Yes190 Lbs5 ft11NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Raphael LavoieChill (Nas)C/RW212000-09-25Yes196 Lbs6 ft4NoNoNo2Pro & Farm870,000$870,000$87,000$87,000$No870,000$Lien
Rasmus KorhonenChill (Nas)G182002-10-22Yes201 Lbs6 ft5NoNoNo4Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$650,000$Lien
Samuel SjolundChill (Nas)D202001-05-19Yes174 Lbs6 ft1NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Scott ReedyChill (Nas)C221999-04-04No209 Lbs6 ft2NoNoNo3Pro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$Lien
Tuukka RaskChill (Nas)G341987-03-10No176 Lbs6 ft3NoNoNo3Pro & Farm5,000,000$5,285,714$528,571$528,571$No4,000,000$1,000,000$Lien
Vladislav FirstovChill (Nas)LW202001-06-19Yes181 Lbs6 ft1NoNoNo4Pro & Farm925,000$925,000$92,500$92,500$No925,000$925,000$925,000$Lien
Yaroslav LikhachyokChill (Nas)LW202001-09-02Yes178 Lbs5 ft10NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2421.67190 Lbs6 ft23.04939,913$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. Greer40122
230122
3Evan Barratt20122
4A.J. Greer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2John Ludvig30122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. Greer60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2John Ludvig40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2A.J. Greer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2John Ludvig40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122John Ludvig40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2A.J. Greer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2John Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. Greer
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. Greer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
A.J. Greer, , , Evan Barratt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, A.J. Greer, , ,
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
1 - 2022-10-071Sharks-Chill-
2 - 2022-10-082Chill-Sharks-
7 - 2022-10-1316Stars-Chill-
9 - 2022-10-1535Chill-Stars-
12 - 2022-10-1852Monarchs-Chill-
14 - 2022-10-2063Chill-Monsters-
16 - 2022-10-2283Phantoms-Chill-
21 - 2022-10-27115Chiefs-Chill-
23 - 2022-10-29136Bears-Chill-
26 - 2022-11-01154Chill-Oil Kings-
28 - 2022-11-03169Chill-Heat-
30 - 2022-11-05186Chill-Comets-
33 - 2022-11-08205Chill-Seattle-
35 - 2022-11-10219Chill-Monsters-
37 - 2022-11-12232Wolf Pack-Chill-
40 - 2022-11-15254Minnesota-Chill-
42 - 2022-11-17267Sound Tigers-Chill-
44 - 2022-11-19285Thunder-Chill-
46 - 2022-11-21297Jayhawks-Chill-
48 - 2022-11-23311Chill-Cougars-
50 - 2022-11-25319Monsters-Chill-
51 - 2022-11-26338Monsters-Chill-
54 - 2022-11-29356Admirals-Chill-
56 - 2022-12-01366Chill-Spiders-
57 - 2022-12-02377Chill-Sound Tigers-
63 - 2022-12-08421Chill-Thunder-
65 - 2022-12-10434Senators-Chill-
67 - 2022-12-12453Chill-Chiefs-
68 - 2022-12-13461Oil Kings-Chill-
70 - 2022-12-15477Chill-Oceanics-
72 - 2022-12-17493Chill-Monsters-
74 - 2022-12-19505Oil Kings-Chill-
76 - 2022-12-21521Chill-Baby Hawks-
78 - 2022-12-23539Monsters-Chill-
82 - 2022-12-27551Stars-Chill-
85 - 2022-12-30574Chill-Admirals-
86 - 2022-12-31579Chill-Las Vegas-
89 - 2023-01-03604Rocket-Chill-
91 - 2023-01-05614Chill-Caroline-
92 - 2023-01-06622Chill-Bears-
95 - 2023-01-09645Chill-Senators-
97 - 2023-01-11658Chill-Marlies-
98 - 2023-01-12664Chill-Rocket-
100 - 2023-01-14686Crunch-Chill-
102 - 2023-01-16703Heat-Chill-
105 - 2023-01-19724Chill-Chiefs-
107 - 2023-01-21742Monarchs-Chill-
110 - 2023-01-24762Oceanics-Chill-
112 - 2023-01-26775Spiders-Chill-
124 - 2023-02-07817Las Vegas-Chill-
128 - 2023-02-11836Chill-Phantoms-
130 - 2023-02-13851Jayhawks-Chill-
133 - 2023-02-16873Bruins-Chill-
135 - 2023-02-18884Cabaret Lady Mary Ann-Chill-
136 - 2023-02-19896Chill-Minnesota-
138 - 2023-02-21914Comets-Chill-
140 - 2023-02-23929Chill-Sharks-
143 - 2023-02-26953Chill-Jayhawks-
145 - 2023-02-28963Manchots-Chill-
147 - 2023-03-02975Chill-Cabaret Lady Mary Ann-
149 - 2023-03-04998Chill-Baby Hawks-
151 - 2023-03-061010Chill-Comets-
154 - 2023-03-091034Chill-Jayhawks-
156 - 2023-03-111052Chill-Monarchs-
157 - 2023-03-121060Chill-Admirals-
159 - 2023-03-141069Cougars-Chill-
161 - 2023-03-161085Baby Hawks-Chill-
163 - 2023-03-181097Oceanics-Chill-
164 - 2023-03-191112Chill-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211124Chill-Crunch-
168 - 2023-03-231142Seattle-Chill-
170 - 2023-03-251152Seattle-Chill-
171 - 2023-03-261167Marlies-Chill-
173 - 2023-03-281178Chill-Bruins-
175 - 2023-03-301192Chill-Manchots-
177 - 2023-04-011204Chiefs-Chill-
179 - 2023-04-031227Chill-Stars-
180 - 2023-04-041235Las Vegas-Chill-
182 - 2023-04-061250Caroline-Chill-
184 - 2023-04-081261Chill-Oceanics-
186 - 2023-04-101282Chill-Heat-
189 - 2023-04-131305Minnesota-Chill-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,255,791$ 2,428,362$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,781$ 0$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 11,873$ 2,255,870$




Chill 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

Chill 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

Chill 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

Chill 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

Chill 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