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Connexion

Vagabond
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jonathan Therrien | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #1 vs Leftovers
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Vagabond
0-0-0, 0pts
2022-10-10
Leftovers
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%
Caribou
0-0-0, 0pts
2022-10-12
Vagabond
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%
Vagabond
0-0-0, 0pts
2022-10-14
Diabotins
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 généralJonathan Therrien
EntraîneurTim Connolly
DivisionLafleur
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure23
Limite contact 52 / 60
Espoirs31


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique265-209-31 (0.525%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)15-9
Coupe Stanley0


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
1Calle Jarnkrok0XXX100.00674296806773837379514874697477050710312713,000$
2Johan Larsson0X100.00817579787372736877524878257070050710302650,000$
3Cal Clutterbuck0X100.00994794777667806156494783458488050710342651,000$
4Jesper Fast0X100.00784498857169906437504875757274050690301650,000$
5Dawson Mercer (R)0X100.006141898665746772685149692555550506702021,294,167$
6Jason Dickinson0XX100.00815590857564825957484677256666047670272650,000$
7Alexis Lafreniere0XX100.007944868472679367354949675359590506602013,775,000$
8Tyler Johnson0XXX100.00794386836364677464494765457278050660322650,002$
9Morgan Frost0X100.00714291856367667477504668255454050650232863,333$
10Danton Heinen0XX100.00734392806963856725504964256767050650271650,000$
11Adam Gaudette0XXX100.00775490776559756647494664756363050640252997,500$
12Carter Rowney0XX100.00794499787558546066474870256565050630331655,000$
13Zdeno Chara0X100.00829168729776895825423881579999050670451950,000$
14Brenden Dillon0X100.00928976818578935825433882757882050660312650,001$
15Mike Reilly0X100.00784486817277886525423971256566047640292650,000$
16Michael Stone0X100.00894688767972506425454177256969047630322650,000$
17Jan Rutta0X100.00775482777670816025433875256466050620322655,000$
18Robert Hagg0X100.008756847575697558254138862564640506202711,600,000$
Rayé
1Matias Maccelli (R)0X100.00654194676167626925504568254646050630212925,000$
2Jan Jenik (R)0X100.00849176746457736543474865254545050630221902,500$
3Garrett Pilon0X100.00757085687064646379424264604444050630241894,166$
4Yegor Chinakhov (R)0X100.007142918365636066254847657551510506202121,325,000$
5Taro Hirose0XX100.00674191695957807244504665255050050620262850,000$
6Brett Leason0X100.00634296707752765936474667254747050600232925,000$
7Tyler Benson0X100.00814482677052676225464560254747050580242650,000$
8Jeremy Davies0X100.006966766866656855253535604146460505502511,325,000$
9Artemi Kniazev (R)0X100.00696774676758595425333359434444050520212905,000$
MOYENNE D’ÉQUIPE100.0077548777716674644346447040616205064
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
1Antti Raanta100.0075545671797177738175596465050720331650,000$
2Thomas Greiss100.00627070886558776465629167680506803621,000,000$
Rayé
MOYENNE D’ÉQUIPE100.006962638072657769736975666705070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN403450,000$


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 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 GaudetteVagabond (PIR)C/LW/RW2510/2/1996No170 Lbs185 CMNoNoNo2Pro & Farm997,500$997,500$0$0$No997,500$Lien / Lien NHL
Alexis LafreniereVagabond (PIR)LW/RW2010/10/2001No193 Lbs188 CMNoNoNo1Pro & Farm3,775,000$3,775,000$0$0$NoLien
Antti RaantaVagabond (PIR)G335/11/1989No195 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Artemi KniazevVagabond (PIR)D211/4/2001Yes181 Lbs183 CMNoNoNo2Pro & Farm905,000$905,000$0$0$No905,000$Lien
Brenden DillonVagabond (PIR)D3111/13/1990No220 Lbs193 CMNoNoNo2Pro & Farm650,001$650,001$0$0$No650,001$Lien / Lien NHL
Brett LeasonVagabond (PIR)RW234/30/1999No201 Lbs193 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Cal ClutterbuckVagabond (PIR)RW3411/17/1987No215 Lbs180 CMNoNoNo2Pro & Farm651,000$651,000$0$0$No651,000$Lien / Lien NHL
Calle JarnkrokVagabond (PIR)C/LW/RW319/24/1991No186 Lbs180 CMNoNoNo2Pro & Farm713,000$713,000$0$0$No713,000$Lien / Lien NHL
Carter RowneyVagabond (PIR)C/RW335/9/1989No208 Lbs185 CMNoNoNo1Pro & Farm655,000$655,000$0$0$NoLien / Lien NHL
Danton HeinenVagabond (PIR)LW/RW277/5/1995No188 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Dawson MercerVagabond (PIR)RW2010/27/2001Yes179 Lbs183 CMNoNoNo2Pro & Farm1,294,167$1,294,167$0$0$No1,294,167$Lien
Garrett PilonVagabond (PIR)C244/13/1998No190 Lbs183 CMNoNoNo1Pro & Farm894,166$894,166$0$0$NoLien
Jan JenikVagabond (PIR)C229/15/2000Yes161 Lbs185 CMNoNoNo1Pro & Farm902,500$902,500$0$0$NoLien
Jan RuttaVagabond (PIR)D327/29/1990No204 Lbs191 CMNoNoNo2Pro & Farm655,000$655,000$0$0$No655,000$Lien / Lien NHL
Jason DickinsonVagabond (PIR)C/LW277/4/1995No200 Lbs188 CMNoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
Jeremy DaviesVagabond (PIR)D2512/4/1996No180 Lbs180 CMNoNoNo1Pro & Farm1,325,000$1,325,000$0$0$NoLien
Jesper FastVagabond (PIR)RW3012/2/1991No191 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Johan LarssonVagabond (PIR)C307/25/1992No204 Lbs180 CMNoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
Matias MaccelliVagabond (PIR)LW2110/14/2000Yes165 Lbs180 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Michael StoneVagabond (PIR)D326/7/1990No210 Lbs191 CMNoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
Mike ReillyVagabond (PIR)D297/13/1993No199 Lbs185 CMNoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
Morgan FrostVagabond (PIR)C235/14/1999No170 Lbs180 CMNoNoNo2Pro & Farm863,333$863,333$0$0$No863,333$Lien / Lien NHL
Robert HaggVagabond (PIR)D272/8/1995No204 Lbs188 CMNoNoNo1Pro & Farm1,600,000$1,600,000$0$0$NoLien / Lien NHL
Taro HiroseVagabond (PIR)LW/RW266/30/1996No162 Lbs178 CMNoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Thomas GreissVagabond (PIR)G361/29/1986No232 Lbs188 CMNoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Tyler BensonVagabond (PIR)LW243/15/1998No192 Lbs183 CMNoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien
Tyler JohnsonVagabond (PIR)C/LW/RW327/29/1990No183 Lbs173 CMNoNoNo2Pro & Farm650,002$650,002$0$0$No650,002$Lien / Lien NHL
Yegor ChinakhovVagabond (PIR)RW212/1/2001Yes179 Lbs183 CMNoNoNo2Pro & Farm1,325,000$1,325,000$0$0$No1,325,000$Lien
Zdeno CharaVagabond (PIR)D453/18/1977No250 Lbs206 CMNoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2927.72194 Lbs185 CM1.66955,368$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexis LafreniereCalle JarnkrokTyler Johnson40122
2Jason DickinsonJohan LarssonDanton Heinen30122
3Adam GaudetteCarter RowneyDawson Mercer20122
4Jesper FastMorgan FrostCal Clutterbuck10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno CharaBrenden Dillon40122
2Mike ReillyMichael Stone35122
3Jan RuttaRobert Hagg25122
4Brenden DillonMike Reilly0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jason DickinsonCalle JarnkrokTyler Johnson60122
2Alexis LafreniereJohan LarssonDanton Heinen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno CharaBrenden Dillon60122
2Mike ReillyMichael Stone40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Calle JarnkrokJason Dickinson60122
2Johan LarssonTyler Johnson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno CharaBrenden Dillon60122
2Mike ReillyMichael Stone40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Calle Jarnkrok60122Zdeno CharaBrenden Dillon60122
2Johan Larsson40122Mike ReillyMichael Stone40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Calle JarnkrokJason Dickinson60122
2Johan LarssonTyler Johnson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zdeno CharaBrenden Dillon60122
2Mike ReillyMichael Stone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason DickinsonCalle JarnkrokDanton HeinenZdeno CharaBrenden Dillon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason DickinsonCalle JarnkrokDanton HeinenZdeno CharaBrenden Dillon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dawson Mercer, Jason Dickinson, Tyler JohnsonDawson Mercer, Jason DickinsonDawson Mercer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Reilly, Michael Stone, Jan RuttaMike ReillyRobert Hagg, Michael Stone
Tirs de pénalité
Calle Jarnkrok, Cal Clutterbuck, Johan Larsson, Jesper Fast, Dawson Mercer
Gardien
#1 : Antti Raanta, #2 : Thomas Greiss, #3 : 0


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 - 2022-10-101Vagabond-Leftovers-
3 - 2022-10-129Caribou-Vagabond-
5 - 2022-10-1417Vagabond-Diabotins-
7 - 2022-10-1625Hooligans-Vagabond-
9 - 2022-10-1833Vagabond-Barracuda-
11 - 2022-10-2041Werewolves-Vagabond-
13 - 2022-10-2249Vagabond-Benchwarmers-
15 - 2022-10-2457Vagabond-Knights-
17 - 2022-10-2665Hybrides-Vagabond-
19 - 2022-10-2873Vagabond-Pingouins-
21 - 2022-10-3081Chevalier-Vagabond-
23 - 2022-11-0189Vagabond-Casse-Tete-
25 - 2022-11-0397Requins-Vagabond-
27 - 2022-11-05105Vagabond-Jardiniers-
29 - 2022-11-07113Pirates-Vagabond-
31 - 2022-11-09121Leftovers-Vagabond-
33 - 2022-11-11129Vagabond-Caribou-
35 - 2022-11-13137Diabotins-Vagabond-
37 - 2022-11-15145Vagabond-Hooligans-
39 - 2022-11-17153Barracuda-Vagabond-
41 - 2022-11-19161Vagabond-Werewolves-
43 - 2022-11-21169Benchwarmers-Vagabond-
45 - 2022-11-23177Knights-Vagabond-
47 - 2022-11-25185Vagabond-Hybrides-
49 - 2022-11-27193Pingouins-Vagabond-
51 - 2022-11-29201Vagabond-Chevalier-
53 - 2022-12-01209Casse-Tete-Vagabond-
55 - 2022-12-03217Vagabond-Requins-
57 - 2022-12-05225Jardiniers-Vagabond-
59 - 2022-12-07233Vagabond-Pirates-
61 - 2022-12-09241Vagabond-Leftovers-
63 - 2022-12-11249Caribou-Vagabond-
65 - 2022-12-13257Vagabond-Diabotins-
67 - 2022-12-15265Hooligans-Vagabond-
69 - 2022-12-17273Vagabond-Barracuda-
71 - 2022-12-19281Werewolves-Vagabond-
73 - 2022-12-21289Vagabond-Benchwarmers-
75 - 2022-12-23297Vagabond-Knights-
77 - 2022-12-25305Hybrides-Vagabond-
79 - 2022-12-27313Vagabond-Pingouins-
81 - 2022-12-29321Chevalier-Vagabond-
83 - 2022-12-31329Vagabond-Casse-Tete-
85 - 2023-01-02337Requins-Vagabond-
87 - 2023-01-04345Vagabond-Jardiniers-
89 - 2023-01-06353Pirates-Vagabond-
91 - 2023-01-08361Leftovers-Vagabond-
93 - 2023-01-10369Vagabond-Caribou-
95 - 2023-01-12377Diabotins-Vagabond-
97 - 2023-01-14385Vagabond-Hooligans-
99 - 2023-01-16393Barracuda-Vagabond-
101 - 2023-01-18401Vagabond-Werewolves-
103 - 2023-01-20409Benchwarmers-Vagabond-
105 - 2023-01-22417Knights-Vagabond-
107 - 2023-01-24425Vagabond-Hybrides-
109 - 2023-01-26433Pingouins-Vagabond-
111 - 2023-01-28441Vagabond-Chevalier-
113 - 2023-01-30449Casse-Tete-Vagabond-
115 - 2023-02-01457Vagabond-Requins-
117 - 2023-02-03465Jardiniers-Vagabond-
119 - 2023-02-05473Vagabond-Pirates-
121 - 2023-02-07481Vagabond-Leftovers-
123 - 2023-02-09489Caribou-Vagabond-
125 - 2023-02-11497Vagabond-Diabotins-
127 - 2023-02-13505Hooligans-Vagabond-
129 - 2023-02-15513Vagabond-Barracuda-
131 - 2023-02-17521Werewolves-Vagabond-
133 - 2023-02-19529Vagabond-Benchwarmers-
135 - 2023-02-21537Leftovers-Vagabond-
137 - 2023-02-23545Vagabond-Caribou-
139 - 2023-02-25553Diabotins-Vagabond-
141 - 2023-02-27561Vagabond-Hooligans-
143 - 2023-03-01569Barracuda-Vagabond-
145 - 2023-03-03577Vagabond-Werewolves-
147 - 2023-03-05585Benchwarmers-Vagabond-
149 - 2023-03-07593Vagabond-Leftovers-
151 - 2023-03-09601Caribou-Vagabond-
153 - 2023-03-11609Vagabond-Diabotins-
155 - 2023-03-13617Hooligans-Vagabond-
157 - 2023-03-15625Vagabond-Barracuda-
159 - 2023-03-17633Werewolves-Vagabond-
161 - 2023-03-19641Vagabond-Benchwarmers-
163 - 2023-03-21649Benchwarmers-Vagabond-



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$ 2,770,566$ 2,458,150$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,894$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 164 16,894$ 2,770,616$




Vagabond 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
1Jack Roslovic82582482-101341432606988.31%266198524.212193015800000043.6220.8301
2Mike Vecchione82245882-10102801217993.00%151197324.079213019200000040.9100.8300

Vagabond 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

Vagabond 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
Saison régulière
20188208200000823190-31084104100000461556-15104104100000361634-1598082861680016363001575534570471037871421704462823010.64%362627.78%0397116034.22%23075030.67%1269387332.77%124984525635541107381
Total Saison régulière5012312090128221923634710-234725012592065111112422261-101925110611706311811212449-1328557236338936256417832761736551576355305209489728816597611736688016187647925.53%161737576.81%605060959652.73%4386883349.65%48451056745.85%11347761711642382473153522
Séries éliminatoires
Total Séries éliminatoires24159000006668-21284000003334-11275000003334-1306610517120292113383128425326430808377185342771114.29%851977.65%023550346.72%22751643.99%13030642.48%555370573189358179

Vagabond 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

Vagabond 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