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Connexion

Vagabond
GP: 6 | W: 2 | L: 4
GF: 31 | GA: 35 | PP%: 29.17% | PK%: 56.00%
DG: Jonathan Therrien | Morale : 50 | Moyenne d’équipe : 65
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Centre de jeu
Jardiniers
4-6-0, 8pts
3
FINAL
9 Vagabond
2-4-0, 4pts
Team Stats
L4SéquenceL1
3-2-0Fiche domicile2-1-0
1-4-0Fiche domicile0-3-0
4-6-0Derniers 10 matchs2-4-0
3.90Buts par match 5.17
4.80Buts contre par match 5.83
27.08%Pourcentage en avantage numérique29.17%
68.42%Pourcentage en désavantage numérique56.00%
Vagabond
2-4-0, 4pts
6
FINAL
8 Jardiniers
4-6-0, 8pts
Team Stats
L1SéquenceL4
2-1-0Fiche domicile3-2-0
0-3-0Fiche domicile1-4-0
2-4-0Derniers 10 matchs4-6-0
5.17Buts par match 3.90
5.83Buts contre par match 4.80
29.17%Pourcentage en avantage numérique27.08%
56.00%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Luke SchennButs
Luke Schenn
4
Passes
Seth Jarvis
7
Points
Seth Jarvis
9
Nate SchmidtPlus/Moins
Nate Schmidt
6
Martin JonesVictoires
Martin Jones
2
Martin JonesPourcentage d’arrêts
Martin Jones
0.832

Statistiques d’équipe
Buts pour
31
5.17 GFG
Tirs pour
200
33.33 Avg
Pourcentage en avantage numérique
29.2%
7 GF
Début de zone offensive
35.8%
Buts contre
35
5.83 GAA
Tirs contre
188
31.33 Avg
Pourcentage en désavantage numérique
56.0%%
11 GA
Début de la zone défensive
33.6%
Informations de l'équipe

Directeur généralJonathan Therrien
EntraîneurTim Connolly
DivisionLafleur
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure24
Limite contact 53 / 60
Espoirs33


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
1Jason Dickinson0XX100.00794488857573876678514786256868044720281650,000$
2Cody Glass0XX100.007143908472689077815148667560610506902411,844,666$
3Dawson Mercer0X100.006341948667749967455252732560600406902111,294,167$
4Tyler Johnson0XXX100.00734290836374608056524968637480050690331650,002$
5Yegor Sharangovich0XXX100.00614192817368935838504877756363050680251925,000$
6Ondrej Palat0X100.00794495886972807226514866377582050680322700,000$
7Tomas Tatar0XX100.00714288856569967438524963587779050680322676,000$
8Seth Jarvis0XX100.007342948463739273355148632560610506702111,394,167$
9Matias Maccelli0X100.00634190676172847625564869255555050670221925,000$
10Jonathan Drouin0XXX100.006542908573696477675445635970700196702822,299,999$
11Kent Johnson (R)0XX100.005940937663677771405149597555550506402021,850,000$
12Arthur Kaliyev0XX100.006943927972618575255149575359600466402211,035,833$
13William Eklund (R)0XX100.006763777763666764804242615945450506202021,744,167$
14Nate Schmidt0X100.00674296847076917025494776257272050690322850,000$
15Luke Schenn0X100.00999867728570855825514683258284050680331650,000$
16Erik Johnson0X100.00844693798472875625484587258384050670352650,000$
17Sebastian AhoD0X100.00654190716371716525504670255757025640271825,000$
18Daniil Miromanov (R)0X100.00654295657772726625514767254545050640262650,000$
19Kevin Bahl0X100.00805877688464756025484672255252050620232902,500$
Rayé
1Cole Sillinger0X100.008144898271659463784846672559590506602011,633,333$
2Drew O'Connor (R)0X100.00794591707756786242484775254849050640252750,000$
3Thomas Bordeleau (R)0X100.00716388706374776278404062614545050640212925,000$
4Adam Ruzicka0XXX100.00674393748359627258524761255353050630242762,500$
5Jan Jenik0X100.00626556746564656379434358564545050610232902,500$
6Victor Mete0X100.00614188786562515825494573256464017600251750,000$
7Ronnie Attard0X100.007977837377737856254040654945450506002421,350,000$
8Michael Kesselring (R)0X100.00757478587473785625393963524444050590232650,000$
MOYENNE D’ÉQUIPE100.0071508777716979674449466942606104665
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
1Martin Jones0100.0065717180656472686565957070042690332650,000$
2Kevin Mandolese (R)0100.0047455685474750534848304444050530232650,000$
Rayé
MOYENNE D’ÉQUIPE100.005658648356566161575763575704661
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN412450,000$


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
1Seth JarvisVagabond (PIR)C/RW62790201031591513.33%111719.50123620000001024.60%126181001.5400000000
2Dawson MercerVagabond (PIR)RW6369020251892416.67%611619.37123320000000071.43%7246001.5500000000
3Luke SchennVagabond (PIR)D64375180277207820.00%1112320.5700000000112000%0116001.1300000000
4Kent JohnsonVagabond (PIR)C/LW62463001375528.57%1528.7000000000000046.67%3010002.3000000110
5Nate SchmidtVagabond (PIR)D6336600612107430.00%1415626.04123120000222000%067000.7700000010
6Sebastian AhoDVagabond (PIR)D6145-3006452120.00%310217.1313422100003000%002000.9700000100
7Tyler JohnsonVagabond (PIR)C/LW/RW6415-3201061281733.33%011519.302023150001210040.23%87155000.8600000011
8Cody GlassVagabond (PIR)C/RW631400043125725.00%27212.0800000000160058.00%50131001.1000000001
9Matias MaccelliVagabond (PIR)LW631400063176817.65%311819.82112420000010025.00%1227010.6700000100
10Jonathan DrouinVagabond (PIR)C/LW/RW6044-3204184110%19215.38011015000000050.00%472000.8700000000
11Arthur KaliyevVagabond (PIR)LW/RW622434044137615.38%1538.830000000000000%181001.5100000000
12Daniil MiromanovVagabond (PIR)D60440004211370%129916.500000000000000%003000.8101000000
13Tomas TatarVagabond (PIR)LW/RW6134040811011110.00%08213.71000215000000066.67%362000.9700000000
14Yegor SharangovichVagabond (PIR)C/LW/RW6033340276840%1589.790000000005000%016001.0200000000
15Erik JohnsonVagabond (PIR)D6213-2001617195510.53%1112721.2600001400008100%014000.4700000000
16Kevin BahlVagabond (PIR)D6022-6201064410%1211318.86011314000015000%006000.3500000000
17Ondrej PalatVagabond (PIR)LW6112-340451031010.00%48013.4800000000050080.00%5141000.4900000000
18Jason DickinsonVagabond (PIR)C/LW6011040883140%48514.23000000000200080.00%535000.2300000000
Statistiques d’équipe totales ou en moyenne1083151820480132972009414815.50%87176716.36712192418100051212039.09%33012075010.9301000332
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
1Martin JonesVagabond (PIR)62300.8325.46319002917398000060000
2Kevin MandoleseVagabond (PIR)20100.6009.0040006158000006000
Statistiques d’équipe totales ou en moyenne82400.8145.83360003518810600066000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam RuzickaVagabond (PIR)C/LW/RW245/11/1999No220 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien
Arthur KaliyevVagabond (PIR)LW/RW226/25/2001No190 Lbs188 CMNoNoTrade3/9/2024NoNo1FalseFalsePro & Farm1,035,833$0$0$No------------------Lien
Cody GlassVagabond (PIR)C/RW244/1/1999No192 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,844,666$0$0$No------------------Lien / Lien NHL
Cole SillingerVagabond (PIR)C205/16/2003No197 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,633,333$0$0$No------------------Lien
Daniil MiromanovVagabond (PIR)D267/11/1997Yes202 Lbs193 CMNoNoFree AgentNoNo23/12/2024FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Dawson MercerVagabond (PIR)RW2110/27/2001No180 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,294,167$0$0$No------------------Lien
Drew O'ConnorVagabond (PIR)LW256/9/1998Yes205 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Erik JohnsonVagabond (PIR)D353/21/1988No225 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Jan JenikVagabond (PIR)C239/15/2000No171 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------No--------Lien
Jason DickinsonVagabond (PIR)C/LW287/4/1995No200 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------Lien / Lien NHL
Jonathan DrouinVagabond (PIR)C/LW/RW283/28/1995No203 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm2,299,999$0$0$No2,299,999$--------No--------Lien / Lien NHL
Kent JohnsonVagabond (PIR)C/LW2010/18/2002Yes168 Lbs185 CMNoNoTrade3/9/2024NoNo2FalseFalsePro & Farm1,850,000$0$0$No1,850,000$--------No--------
Kevin BahlVagabond (PIR)D236/27/2000No216 Lbs198 CMNoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------No--------Lien
Kevin MandoleseVagabond (PIR)G238/22/2000Yes200 Lbs196 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Luke SchennVagabond (PIR)D3311/1/1989No227 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------Lien / Lien NHL
Martin JonesVagabond (PIR)G331/10/1990No190 Lbs193 CMNoNoFree AgentNoNo21/7/2024FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Matias MaccelliVagabond (PIR)LW2210/14/2000No165 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Michael KesselringVagabond (PIR)D231/13/2000Yes190 Lbs193 CMNoNoFree AgentNoNo212/8/2023FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Nate SchmidtVagabond (PIR)D327/16/1991No194 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------No--------Lien / Lien NHL
Ondrej PalatVagabond (PIR)LW323/28/1991No194 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------Lien / Lien NHL
Ronnie AttardVagabond (PIR)D243/20/1999No205 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------No--------Lien
Sebastian AhoDVagabond (PIR)D272/16/1996No176 Lbs178 CMNoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No------------------Lien
Seth JarvisVagabond (PIR)C/RW212/1/2002No175 Lbs178 CMNoNoN/ANoNo1FalseFalsePro & Farm1,394,167$0$0$No------------------Lien
Thomas BordeleauVagabond (PIR)C213/1/2002Yes175 Lbs178 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------
Tomas TatarVagabond (PIR)LW/RW3211/30/1990No183 Lbs178 CMNoNoN/ANoNo2FalseFalsePro & Farm676,000$0$0$No676,000$--------No--------Lien / Lien NHL
Tyler JohnsonVagabond (PIR)C/LW/RW337/29/1990No182 Lbs173 CMNoNoN/ANoNo1FalseFalsePro & Farm650,002$0$0$No------------------Lien / Lien NHL
Victor MeteVagabond (PIR)D256/7/1998No187 Lbs175 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
William EklundVagabond (PIR)C/LW2012/10/2002Yes176 Lbs178 CMNoNoN/ANoNo2FalseFalsePro & Farm1,744,167$0$0$No1,744,167$--------No--------
Yegor SharangovichVagabond (PIR)C/LW/RW256/6/1998No195 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.69193 Lbs185 CM1.591,018,615$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matias MaccelliSeth JarvisDawson Mercer40122
2Ondrej PalatTyler JohnsonJonathan Drouin30122
3Jason DickinsonCody GlassTomas Tatar20122
4Arthur KaliyevKent JohnsonYegor Sharangovich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nate SchmidtLuke Schenn40122
2Erik JohnsonDaniil Miromanov35122
3Sebastian AhoDKevin Bahl25122
4Nate SchmidtLuke Schenn0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matias MaccelliSeth JarvisDawson Mercer60122
2Tomas TatarTyler JohnsonJonathan Drouin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nate SchmidtSebastian AhoD60122
2Erik JohnsonKevin Bahl40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler JohnsonJason Dickinson60122
2Cody GlassYegor Sharangovich40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nate SchmidtLuke Schenn60122
2Erik JohnsonKevin Bahl40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Johnson60122Nate SchmidtLuke Schenn60122
2Jason Dickinson40122Erik JohnsonKevin Bahl40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler JohnsonDawson Mercer60122
2Cody GlassMatias Maccelli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nate SchmidtSebastian AhoD60122
2Erik JohnsonKevin Bahl40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matias MaccelliSeth JarvisDawson MercerNate SchmidtLuke Schenn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jason DickinsonTyler JohnsonCody GlassNate SchmidtLuke Schenn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matias Maccelli, Seth Jarvis, Ondrej PalatSeth Jarvis, Cody GlassOndrej Palat
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Bahl, Sebastian AhoD, Luke SchennKevin BahlKevin Bahl, Sebastian AhoD
Tirs de pénalité
Jonathan Drouin, Tyler Johnson, Cody Glass, Ondrej Palat, Seth Jarvis
Gardien
#1 : Martin Jones, #2 : Kevin Mandolese


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
1Jardiniers624000003135-4321000002213930300000922-1340.3333151820010101102006564710188874813224729.17%251156.00%04911841.53%4211137.84%3810137.62%13888131479045
Total624000003135-4321000002213930300000922-1340.3333151820010101102006564710188874813224729.17%251156.00%04911841.53%4211137.84%3810137.62%13888131479045
_Since Last GM Reset624000003135-4321000002213930300000922-1340.3333151820010101102006564710188874813224729.17%251156.00%04911841.53%4211137.84%3810137.62%13888131479045
_Vs Conference624000003135-4321000002213930300000922-1340.3333151820010101102006564710188874813224729.17%251156.00%04911841.53%4211137.84%3810137.62%13888131479045

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L1315182200188874813200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400003135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100002213
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000922
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24729.17%251156.00%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
65647101010110
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
4911841.53%4211137.84%3810137.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13888131479045


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 - 2024-04-084Jardiniers5Vagabond3LSommaire du match
4 - 2024-04-108Jardiniers5Vagabond10WSommaire du match
6 - 2024-04-1212Vagabond1Jardiniers9LSommaire du match
8 - 2024-04-1416Vagabond2Jardiniers5LSommaire du match
10 - 2024-04-1620Jardiniers3Vagabond9WSommaire du match
12 - 2024-04-1824Vagabond6Jardiniers8LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,953,984$ 2,551,767$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Vagabond Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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

Vagabond Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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