Connexion

Stars
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: cjo13 | Morale : 40 | Moyenne d’équipe : 58
Prochain matchs #16 vs Admirals
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Stars
0-0-0, 0pts
2022-09-15
Admirals
1-1-0, 2pts
Statistiques d’équipe
N/ASéquenceW1
0-0-0Fiche domicile0-1-0
0-0-0Fiche visiteur1-0-0
0-0-010 derniers matchs1-1-0
0.00Buts par match 2.00
0.00Buts contre par match 2.50
0.00%Pourcentage en avantage numérique50.00%
0.00%Pourcentage en désavantage numérique42.86%
Admirals
1-1-0, 2pts
2022-09-17
Stars
0-0-0, 0pts
Statistiques d’équipe
W1SéquenceN/A
0-1-0Fiche domicile0-0-0
1-0-0Fiche visiteur0-0-0
1-1-010 derniers matchs0-0-0
2.00Buts par match 0.00
2.50Buts contre par match 0.00
50.00%Pourcentage en avantage numérique0.00%
42.86%Pourcentage en désavantage numérique0.00%
Moose
0-0-0, 0pts
2022-09-19
Stars
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
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralcjo13
EntraîneurKen Hitchcock
DivisionCentral Division
ConférenceWestern Conference
CapitaineStefan Matteau
Assistant #1Joe Hicketts
Assistant #2Scott Sabourin


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 90
Espoirs25


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique104-36-18 (0.658%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)28-16
Stanley Cup0


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
1Devin Shore0X100.00784783598574585972646166735668040610282850,000$
2Mason Shaw0XX100.00905175627960526251686363625366040600232750,000$
3Reese Johnson0XX100.00994888628272535676635768595265040600241800,000$
4CJ Smith0X100.00704175627960506540686554635967040590272800,000$
5Hayden Hodgson0X100.00906274578660456264646660635164040590261750,000$
6Ross Johnston0X100.00966880569475505646645963605366040590282750,000$
7Scott Sabourin (A)0X100.009072735587604357676557615959710405803011,000,000$
8Logan Hutsko (R)0XXX100.00503975607660495840655962605262040560232850,000$
9Stefan Matteau (C)0XX100.00506275528660305760645963606673040560281750,000$
10Gage Quinney0X100.00504575558360165940646362625967040550271750,000$
11Austin Rueschhoff (R)0XXX100.00505875479560375640616162615161040550251750,000$
12Maxim Marushev (R)0X100.005042755681603255606358625952620405502310$
13Jacob Bryson0X100.006139966476827866206557735952620406402421,250,000$
14Casey Fitzgerald0X100.00935786618067586720655970605466040630251750,000$
15Dakota Mermis0X100.008149755682605069206559676057680406102811,100,000$
16Joe Hicketts (A)0X100.00504475597660397020646568636169040590261750,000$
17Austin Strand0X100.00664978518860396620635968605262040580252800,000$
18Cavan Fitzgerald0X100.00505575528460316520625968605866040570261752,500$
Rayé
1Patrick Bajkov0XXX100.00503975587860505340615862595766040550241750,000$
2Jan Drozg0X100.00503975577960165340615762595161040530231925,000$
3Dmitry Zavgorodniy (R)0X100.00504075557860105040605562585161040520222900,000$
4Patrick Giles (R)0XXX100.00504975479060105040605562585261040520222750,000$
5Mitchell Vande Sompel0X100.005043755580603468206457685955650405702511,000,000$
6Gustav Olofsson0X100.00504275548260196520625968605565040560272850,000$
MOYENNE D’ÉQUIPE100.0065497756836340604164596461556504058
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
1Mikhail Berdin100.0065696685706968706966687068040680
2Daniil Tarasov (R)100.0059666388646364646460636867040640
Rayé
1Dylan Ferguson100.0052575485575656575653557068040590
2Amir Miftakhov (R)100.0053625983575756585854566667040590
MOYENNE D’ÉQUIPE100.005764618562616162625861696804063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock75757575757575CAN718500,000$


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 restantSalaire moyenSalaire 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
Amir MiftakhovStars (DAL)G224/26/2000Yes165 Lbs6 ft0NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Austin RueschhoffStars (DAL)C/LW/RW259/7/1997Yes230 Lbs6 ft7NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Austin StrandStars (DAL)D252/17/1997No215 Lbs6 ft3NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
CJ SmithStars (DAL)LW2712/1/1994No184 Lbs5 ft11NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Casey FitzgeraldStars (DAL)D252/25/1997No188 Lbs5 ft11NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Cavan FitzgeraldStars (DAL)D268/23/1996No200 Lbs6 ft1NoNoNo1Pro & Farm752,500$744,537$752,500$744,537$0$0$NoLien
Dakota Mermis (contrat à 1 volet)Stars (DAL)D281/5/1994No195 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$1,088,360$1,100,000$1,088,360$0$0$NoLien
Daniil TarasovStars (DAL)G237/1/1999Yes185 Lbs6 ft5NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Devin Shore (contrat à 1 volet)Stars (DAL)C287/19/1994No206 Lbs6 ft1NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Dmitry ZavgorodniyStars (DAL)RW228/11/2000Yes180 Lbs5 ft10NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Dylan FergusonStars (DAL)G247/1/1998No194 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Gage QuinneyStars (DAL)LW277/29/1995No198 Lbs6 ft0NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Gustav OlofssonStars (DAL)D2712/1/1994No188 Lbs6 ft2NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Hayden HodgsonStars (DAL)RW263/2/1996No208 Lbs6 ft2NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Jacob Bryson (contrat à 1 volet)Stars (DAL)D2411/18/1997No175 Lbs5 ft9NoNoNo2Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$125,000$123,677$No1,250,000$Lien
Jan DrozgStars (DAL)RW234/1/1999No175 Lbs6 ft2NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Joe HickettsStars (DAL)D265/4/1996No175 Lbs5 ft8NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Logan HutskoStars (DAL)C/LW/RW231/11/1999Yes175 Lbs5 ft9NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Mason ShawStars (DAL)C/LW2311/3/1998No184 Lbs5 ft10NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Maxim MarushevStars (DAL)C231/1/1999Yes186 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$0$0$NoLien
Mikhail BerdinStars (DAL)G247/1/1998No183 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Mitchell Vande SompelStars (DAL)D252/11/1997No190 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Patrick BajkovStars (DAL)C/LW/RW2411/27/1997No174 Lbs6 ft0NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Patrick GilesStars (DAL)C/LW/RW221/3/2000Yes217 Lbs6 ft5NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Reese JohnsonStars (DAL)C/RW247/10/1998No193 Lbs6 ft1NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Ross Johnston (contrat à 1 volet)Stars (DAL)LW282/18/1994No232 Lbs6 ft5NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Scott SabourinStars (DAL)RW307/30/1992No207 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Stefan MatteauStars (DAL)C/LW282/23/1994No208 Lbs6 ft2NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.07193 Lbs6 ft11.46835,804$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross JohnstonDevin ShoreHayden Hodgson25122
2CJ SmithReese JohnsonLogan Hutsko25122
3Mason ShawStefan MatteauScott Sabourin25122
4Gage QuinneyMaxim MarushevAustin Rueschhoff25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDakota Mermis34122
2Casey FitzgeraldCavan Fitzgerald33122
3Joe HickettsAustin Strand33122
4Jacob BrysonDakota Mermis0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ross JohnstonDevin ShoreHayden Hodgson60122
2CJ SmithReese JohnsonLogan Hutsko40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonJoe Hicketts60122
2Casey FitzgeraldCavan Fitzgerald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Reese JohnsonMason Shaw60122
2Devin ShoreRoss Johnston40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDakota Mermis60122
2Casey FitzgeraldAustin Strand40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Reese Johnson60122Jacob BrysonDakota Mermis60122
2Devin Shore40122Casey FitzgeraldAustin Strand40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Devin ShoreHayden Hodgson60122
2Reese JohnsonRoss Johnston40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDakota Mermis60122
2Casey FitzgeraldCavan Fitzgerald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
CJ SmithDevin ShoreHayden HodgsonJacob BrysonJoe Hicketts
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ross JohnstonReese JohnsonDevin ShoreJacob BrysonCasey Fitzgerald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ross Johnston, Reese Johnson, Scott SabourinStefan Matteau, Mason ShawScott Sabourin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bryson, Casey Fitzgerald, Joe HickettsDakota MermisJoe Hicketts, Cavan Fitzgerald
Tirs de pénalité
Devin Shore, Hayden Hodgson, CJ Smith, Mason Shaw, Joe Hicketts
Gardien
#1 : Mikhail Berdin, #2 : Daniil Tarasov
Lignes d’attaque personnalisées en prolongation
Devin Shore, Hayden Hodgson, Reese Johnson, Ross Johnston, Stefan Matteau, CJ Smith, CJ Smith, Mason Shaw, Logan Hutsko, ,
Lignes de défense personnalisées en prolongation
Jacob Bryson, Casey Fitzgerald, Dakota Mermis, Joe Hicketts, Austin Strand


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
7 - 2022-09-1516Stars-Admirals-
9 - 2022-09-1735Admirals-Stars-
11 - 2022-09-1946Moose-Stars-
14 - 2022-09-2261Stars-Marlies-
16 - 2022-09-2479Stars-Rocket-
18 - 2022-09-2692Stars-Senators-
19 - 2022-09-27100Stars-Bruins-
21 - 2022-09-29117Bears-Stars-
23 - 2022-10-01127Wolf Pack-Stars-
26 - 2022-10-04153Reign-Stars-
28 - 2022-10-06172Stars-Roadrunners-
30 - 2022-10-08178Stars-Condors-
33 - 2022-10-11204Stars-Moose-
36 - 2022-10-14223Barracuda-Stars-
38 - 2022-10-16238Stars-Phantoms-
40 - 2022-10-18248Stars-Crunch-
42 - 2022-10-20262Stars-Checkers-
44 - 2022-10-22284Islanders-Stars-
46 - 2022-10-24298Eagles-Stars-
48 - 2022-10-26313IceHogs-Stars-
50 - 2022-10-28330Moose-Stars-
51 - 2022-10-29339Stars-Eagles-
53 - 2022-10-31350Stars-Thunderbirds-
56 - 2022-11-03371Gulls-Stars-
59 - 2022-11-06393Wild-Stars-
61 - 2022-11-08409Marlies-Stars-
63 - 2022-11-10423Senators-Stars-
65 - 2022-11-12435Griffins-Stars-
67 - 2022-11-14449Stars-Penguins-
68 - 2022-11-15456Stars-Comets-
70 - 2022-11-17471Stars-Bears-
72 - 2022-11-19487Stars-Wolves-
74 - 2022-11-21502Stars-Monsters-
76 - 2022-11-23522Condors-Stars-
78 - 2022-11-25541Rocket-Stars-
82 - 2022-11-29551Stars-Admirals-
84 - 2022-12-01569Stars-Wild-
86 - 2022-12-03586Barracuda-Stars-
89 - 2022-12-06608Stars-Reign-
90 - 2022-12-07611Stars-Gulls-
94 - 2022-12-11637Checkers-Stars-
96 - 2022-12-13653Stars-Islanders-
98 - 2022-12-15663Stars-Wolf Pack-
100 - 2022-12-17677Heat-Stars-
102 - 2022-12-19699Stars-Silver Knights-
104 - 2022-12-21716Stars-Barracuda-
105 - 2022-12-22729Stars-Reign-
107 - 2022-12-24740Roadrunners-Stars-
109 - 2022-12-26753Americans-Stars-
111 - 2022-12-28769Wolves-Stars-
113 - 2022-12-30785Comets-Stars-
123 - 2023-01-09811Gulls-Stars-
125 - 2023-01-11820Wild-Stars-
128 - 2023-01-14837Crunch-Stars-
131 - 2023-01-17861Bruins-Stars-
134 - 2023-01-20880Stars-Wild-
135 - 2023-01-21887Monsters-Stars-
139 - 2023-01-25918IceHogs-Stars-
142 - 2023-01-28944Stars-Silver Knights-
144 - 2023-01-30955Canucks-Stars-
146 - 2023-02-01970Roadrunners-Stars-
147 - 2023-02-02980Stars-IceHogs-
149 - 2023-02-04997Eagles-Stars-
151 - 2023-02-061008Heat-Stars-
154 - 2023-02-091025Stars-Americans-
156 - 2023-02-111049Stars-Firebirds-
158 - 2023-02-131063Stars-Firebirds-
159 - 2023-02-141073Stars-Canucks-
161 - 2023-02-161086Stars-Condors-
163 - 2023-02-181105Stars-Heat-
166 - 2023-02-211130Firebirds-Stars-
168 - 2023-02-231143Penguins-Stars-
170 - 2023-02-251158Canucks-Stars-
173 - 2023-02-281182Stars-IceHogs-
176 - 2023-03-031203Stars-Roadrunners-
177 - 2023-03-041212Stars-Eagles-
179 - 2023-03-061227Admirals-Stars-
182 - 2023-03-091252Phantoms-Stars-
184 - 2023-03-111269Silver Knights-Stars-
186 - 2023-03-131280Stars-Griffins-
188 - 2023-03-151296Stars-Thunderbirds-
189 - 2023-03-161307Thunderbirds-Stars-



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
20,584$ 1,945,250$ 1,870,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,896$ 19,792$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 10,292$ 1,924,604$




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
Saison régulière
118241180695323716572411912023321148430412260462112381421162374026390832103911531811015112410066724277832932028963031.25%1344169.40%3992191751.75%889178949.69%574109852.28%1794101715657841614769
118241180695323716572411912023321148430412260462112381421162374026390832103911531811015112410066724277832932028963031.25%1344169.40%3992191751.75%889178949.69%574109852.28%1794101715657841614769
Total Saison régulière1648236012181064743301448238240466422816860824412081242246162842324748041278016642061823063622030224820121344854156658640561926031.25%2688269.40%61984383451.75%1778357849.69%1148219652.28%358920343131156932281538
Séries éliminatoires
112214800000594811129300000322210105500000272612859105164029232258772622872814785131113552431825.81%451175.56%025449651.21%32966349.62%16931054.52%468265496212417202
112214800000594811129300000322210105500000272612859105164029232258772622872814785131113552431825.81%451175.56%025449651.21%32966349.62%16931054.52%468265496212417202
Total Séries éliminatoires4428160000011896222418600000644420201010000005452256118210328041846441017545245745629417026222701048621625.81%902275.56%050899251.21%658132649.62%33862054.52%936531992425834404