Vagabond
GP: 3 | W: 2 | L: 1
GF: 10 | GA: 7 | PP%: 0.00% | PK%: 57.14%
DG: Jonathan Therrien | Morale : 50 | Moyenne d’équipe : 64
Prochain matchs #16 vs Benchwarmers
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Centre de jeu
Benchwarmers
1-2-0, 2pts
3
FINAL
2 Vagabond
2-1-0, 4pts
Team Stats
L1StreakW1
0-1-0Home Record1-1-0
1-1-0Away Record1-0-0
1-1-1Last 10 Games2-1-0
2.33Goals Per Game3.33
3.33Goals Against Per Game2.33
42.86%Power Play Percentage0.00%
100.00%Penalty Kill Percentage57.14%
Vagabond
2-1-0, 4pts
4
FINAL
1 Benchwarmers
1-2-0, 2pts
Team Stats
W1StreakL1
1-1-0Home Record0-1-0
1-0-0Away Record1-1-0
2-1-0Last 10 Games1-1-1
3.33Goals Per Game2.33
2.33Goals Against Per Game3.33
0.00%Power Play Percentage42.86%
57.14%Penalty Kill Percentage100.00%
Vagabond
2-1-0, 4pts
2021-04-22
Benchwarmers
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-1-1
3.33Buts par match 2.33
2.33Buts contre par match 3.33
0.00%Pourcentage en avantage numérique42.86%
57.14%Pourcentage en désavantage numérique100.00%
Benchwarmers
1-2-0, 2pts
2021-04-24
Vagabond
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-0-0
1-1-110 derniers matchs2-1-0
2.33Buts par match 3.33
3.33Buts contre par match 2.33
42.86%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique57.14%
Vagabond
2-1-0, 4pts
2021-04-26
Benchwarmers
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-1-1
3.33Buts par match 2.33
2.33Buts contre par match 3.33
0.00%Pourcentage en avantage numérique42.86%
57.14%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Mike SmithVictoires
Mike Smith
2
Mike SmithPourcentage d’arrêts
Mike Smith
0.926

Statistiques d’équipe
Buts pour
10
3.33 GFG
Tirs pour
130
43.33 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
38.0%
Buts contre
7
2.33 GAA
Tirs contre
94
31.33 Avg
Pourcentage en désavantage numérique
57.1%
3 GA
Début de la zone défensive
33.6%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure25
Limite contact 56 / 60
Espoirs17


Historique d'équipe

Saison actuelle2-1
Historique203-175-33 (0.494%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)7-10
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
1Blake Comeau0XX100.00874482787470835938494774758284050690341650,000$
2Milan Lucic0X100.00958275708865916535494765258288050690322650,000$
3Derek Ryan0XX100.00595893776367926267514875756566050680331650,000$
4Ryan Hartman0XX100.00716373836863936549494780256465049680261875,000$
5Wayne Simmonds0XX100.00855771777169917035504863618184050680322850,000$
6Vladislav Namestnikov0XXX100.00825081816670896636504969256769013670272650,000$
7Lucas Wallmark0X100.00744289766565916365494875256061050670251675,000$
8Drake Batherson0X100.00877583777170907654514757254747050670221773,333$
9Mattias Janmark0X100.00624292827269896836504768256566050670272650,000$
10Kevin Labanc0X100.00704285836771937530524959756365050670241925,000$
11Jimmy Vesey0XX100.007149928078689061354948645965650506602722,275,000$
12Cody Glass (R)0XX100.006341948067656174534947592547470506202121,713,333$
13Brenden Dillon0X100.00927366848677936125433872257477050650292650,000$
14Jack Johnson0X100.00924587768178925725413872628385050650332655,000$
15Dylan DeMelo0X100.00825184807479856325423872256566050640272900,000$
16Ian Cole0X100.00794375747875856025443977257275042640312650,000$
17Ryan Murray0X100.006441948375816162254539732566670506402622,825,000$
18Mark Friedman0X100.00716579646776814925333361394444050560241825,000$
19Louie Belpedio0X100.00717164646974834825323261394444050550242700,000$
Rayé
1Mark Jankowski0X100.006243927577608561564747772559600506602611,675,000$
2Antoine Roussel0X100.00775665817263716638504864757273050650301650,000$
3Adam Gaudette0X100.006552827765628366705249542557570506302321,491,667$
4Dillon Dube0XX100.00784395836663776225504762755252050630221910,833$
5Troy Terry0XX100.005740957765688474365046545354540506302321,491,667$
6Alexander True0X100.00855490677863775763494457255656050620232800,000$
7Taro Hirose0X100.006541926359637177264946612547470506202411,350,000$
8Victor Rask0XX100.00684495727558646163494758366767046620272650,000$
9Mikhail Vorobyev0X100.00594190717256785585484666254747050610231925,000$
10Christian Wolanin0X100.00696283797061595138333265415757050540252960,000$
MOYENNE D’ÉQUIPE100.0074528476726882634247446640626304864
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
1Anders Nilsson100.0061596095746770627862835959046690
2Mike Smith100.0058737486646381586758737577050690
Rayé
MOYENNE D’ÉQUIPE100.006066679169657660736078676804869
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN385450,000$


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
1Drake BathersonVagabond (PIR)RW322430060135415.38%05217.330000000001000.00%270001.5400000001
2Cody GlassVagabond (PIR)C/RW31233203316366.25%14916.5700000000100055.26%3891001.2100000000
3Derek RyanVagabond (PIR)C/RW3033300139270.00%26220.7600001000280063.04%4634000.9600000000
4Kevin LabancVagabond (PIR)RW321330040164812.50%05217.470000100000100.00%3221001.1500000100
5Ian ColeVagabond (PIR)D3022200223030.00%45016.790000000000000.00%002000.7900000000
6Lucas WallmarkVagabond (PIR)C31120001272514.29%04214.1700000000010064.00%25100000.9400000001
7Ryan HartmanVagabond (PIR)LW/RW31123007312378.33%25518.63000000000400100.00%3113000.7200000000
8Wayne SimmondsVagabond (PIR)LW/RW311200050143117.14%03913.170000000000010.00%0141001.0100000010
9Vladislav NamestnikovVagabond (PIR)C/LW/RW31013007132333.33%24916.62000010000000100.00%153000.4000000000
10Mark FriedmanVagabond (PIR)D3011200504000.00%15719.260000000000000.00%003000.3500000000
11Mattias JanmarkVagabond (PIR)LW301100023113100.00%13210.710000000000000.00%080000.6200000000
12Blake ComeauVagabond (PIR)LW/RW31010006352620.00%34214.1100000000081050.00%1641000.4700000000
13Jack JohnsonVagabond (PIR)D3011200323130.00%56822.980000000005000.00%012000.2900000000
14Dylan DeMeloVagabond (PIR)D3000200212130.00%65117.030000000005000.00%029000.0000000000
15Louie BelpedioVagabond (PIR)D3000000100000.00%093.100000000007000.00%000000.0000000000
16Brenden DillonVagabond (PIR)D3000295622320.00%46822.820000100002000.00%024000.0000000000
17Ryan MurrayVagabond (PIR)D3000200303370.00%37023.410000100005000.00%019000.0000000000
18Milan LucicVagabond (PIR)LW3000020612160.00%03913.21000000000000100.00%220000.0000000000
19Jimmy VeseyVagabond (PIR)LW/RW3000000205560.00%03210.71000000000000100.00%131000.0000000000
Statistiques d’équipe totales ou en moyenne5710162630135722613043977.69%3492616.25000090003512159.12%13710444000.5600000112
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
1Mike SmithVagabond (PIR)32100.9262.251870079455000.000030010
Statistiques d’équipe totales ou en moyenne32100.9262.251870079455000.000030010


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)C231996-10-02No170 Lbs185 CMNoNoNo2Pro & Farm1,491,667$852,381$0$0$No1,491,667$Lien / Lien NHL
Alexander TrueVagabond (PIR)C231997-07-17No201 Lbs196 CMNoNoNo2Pro & Farm800,000$457,142$0$0$No800,000$Lien / Lien NHL
Anders NilssonVagabond (PIR)G301990-03-18No232 Lbs198 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Antoine RousselVagabond (PIR)LW301989-11-20No195 Lbs183 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Blake ComeauVagabond (PIR)LW/RW341986-02-17No202 Lbs185 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Brenden DillonVagabond (PIR)D291990-11-13No225 Lbs193 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Christian WolaninVagabond (PIR)D251995-03-17No185 Lbs188 CMNoNoNo2Pro & Farm960,000$548,571$0$0$No960,000$Lien / Lien NHL
Cody GlassVagabond (PIR)C/RW211999-03-31Yes178 Lbs188 CMNoNoNo2Pro & Farm1,713,333$979,047$0$0$No1,713,333$Lien / Lien NHL
Derek RyanVagabond (PIR)C/RW331986-12-29No170 Lbs180 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Dillon DubeVagabond (PIR)C/LW221998-07-19No183 Lbs180 CMNoNoNo1Pro & Farm910,833$520,476$0$0$NoLien / Lien NHL
Drake BathersonVagabond (PIR)RW221998-04-26No187 Lbs185 CMNoNoNo1Pro & Farm773,333$441,904$0$0$NoLien / Lien NHL
Dylan DeMeloVagabond (PIR)D271993-05-01No195 Lbs188 CMNoNoNo2Pro & Farm900,000$514,285$0$0$No900,000$Lien / Lien NHL
Ian ColeVagabond (PIR)D311989-02-21No219 Lbs185 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Jack JohnsonVagabond (PIR)D331987-01-12No227 Lbs185 CMNoNoNo2Pro & Farm655,000$374,285$0$0$No655,000$Lien / Lien NHL
Jimmy VeseyVagabond (PIR)LW/RW271993-05-26No206 Lbs191 CMNoNoNo2Pro & Farm2,275,000$1,300,000$0$0$No2,275,000$Lien / Lien NHL
Kevin LabancVagabond (PIR)RW241995-12-12No185 Lbs180 CMNoNoNo1Pro & Farm925,000$528,571$0$0$NoLien / Lien NHL
Louie BelpedioVagabond (PIR)D241996-05-14No193 Lbs180 CMNoNoNo2Pro & Farm700,000$400,000$0$0$No700,000$Lien / Lien NHL
Lucas WallmarkVagabond (PIR)C251995-09-05No176 Lbs183 CMNoNoNo1Pro & Farm675,000$385,714$0$0$NoLien / Lien NHL
Mark FriedmanVagabond (PIR)D241995-12-25No185 Lbs180 CMNoNoNo1Pro & Farm825,000$471,428$0$0$NoLien / Lien NHL
Mark JankowskiVagabond (PIR)C261994-09-13No202 Lbs193 CMNoNoNo1Pro & Farm1,675,000$957,142$0$0$NoLien / Lien NHL
Mattias JanmarkVagabond (PIR)LW271992-12-08No196 Lbs185 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Mike SmithVagabond (PIR)G381982-03-21No215 Lbs193 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Mikhail VorobyevVagabond (PIR)C231997-01-04No194 Lbs188 CMNoNoNo1Pro & Farm925,000$528,571$0$0$NoLien / Lien NHL
Milan LucicVagabond (PIR)LW321988-06-06No236 Lbs191 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Ryan HartmanVagabond (PIR)LW/RW261994-09-20No181 Lbs183 CMNoNoNo1Pro & Farm875,000$500,000$0$0$NoLien / Lien NHL
Ryan MurrayVagabond (PIR)D261993-09-26No205 Lbs185 CMNoNoNo2Pro & Farm2,825,000$1,614,285$0$0$No2,825,000$Lien / Lien NHL
Taro HiroseVagabond (PIR)LW241996-06-30No161 Lbs178 CMNoNoNo1Pro & Farm1,350,000$771,428$0$0$NoLien / Lien NHL
Troy TerryVagabond (PIR)C/RW231997-09-10No174 Lbs185 CMNoNoNo2Pro & Farm1,491,667$852,381$0$0$No1,491,667$Lien / Lien NHL
Victor RaskVagabond (PIR)C/RW271993-03-01No200 Lbs188 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Vladislav NamestnikovVagabond (PIR)C/LW/RW271992-11-22No180 Lbs180 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Wayne SimmondsVagabond (PIR)LW/RW321988-08-25No185 Lbs188 CMNoNoNo2Pro & Farm850,000$485,714$0$0$No850,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3127.03195 Lbs185 CM1.58991,801$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan HartmanDerek RyanKevin Labanc40122
2Vladislav NamestnikovCody GlassDrake Batherson30122
3Milan LucicLucas WallmarkWayne Simmonds20122
4Mattias JanmarkBlake ComeauJimmy Vesey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurrayJack Johnson40122
2Brenden DillonIan Cole30122
3Mark FriedmanDylan DeMelo20122
4Mark FriedmanBrenden Dillon10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vladislav NamestnikovDerek RyanKevin Labanc60122
2Ryan HartmanLucas WallmarkDrake Batherson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurrayBrenden Dillon60122
2Jack JohnsonDylan DeMelo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Derek RyanBlake Comeau60122
2Lucas WallmarkRyan Hartman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louie BelpedioBrenden Dillon60122
2Jack JohnsonDylan DeMelo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Derek Ryan60122Ryan MurrayBrenden Dillon60122
2Lucas Wallmark40122Jack JohnsonDylan DeMelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Derek RyanBlake Comeau60122
2Lucas WallmarkRyan Hartman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurrayBrenden Dillon60122
2Jack JohnsonDylan DeMelo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake ComeauDerek RyanKevin LabancRyan MurrayBrenden Dillon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake ComeauDerek RyanDrake BathersonRyan MurrayBrenden Dillon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Drake Batherson, Kevin Labanc, Mattias JanmarkDrake Batherson, Kevin LabancDrake Batherson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan DeMelo, Ryan Murray, Louie BelpedioDylan DeMeloLouie Belpedio, Ryan Murray
Tirs de pénalité
Blake Comeau, Ryan Hartman, Wayne Simmonds, Derek Ryan, Drake Batherson
Gardien
#1 : Mike Smith, #2 : Anders Nilsson


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
1Benchwarmers321000001073211000006601100000041340.667101626004321130524133494341372100.00%7357.14%0275251.92%244652.17%303976.92%947149174324
Total321000001073211000006601100000041340.667101626004321130524133494341372100.00%7357.14%0275251.92%244652.17%303976.92%947149174324
_Since Last GM Reset321000001073211000006601100000041340.667101626004321130524133494341372100.00%7357.14%0275251.92%244652.17%303976.92%947149174324
_Vs Conference321000001073211000006601100000041340.667101626004321130524133494341372100.00%7357.14%0275251.92%244652.17%303976.92%947149174324

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W11016261309434137200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3210000107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000066
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000041
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
100.00%7357.14%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
52413344321
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
275251.92%244652.17%303976.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
947149174324


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2021-04-164Benchwarmers3Vagabond4WXSommaire du match
4 - 2021-04-188Benchwarmers3Vagabond2LSommaire du match
6 - 2021-04-2012Vagabond4Benchwarmers1WSommaire du match
8 - 2021-04-2216Vagabond-Benchwarmers-
10 - 2021-04-2420Benchwarmers-Vagabond-
12 - 2021-04-2624Vagabond-Benchwarmers-
14 - 2021-04-2828Benchwarmers-Vagabond-



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,074,583$ 2,878,667$ 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$ 8 0$ 0$




TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
201684195301326255252342132101124116102144263200202139150-1153255414669430798885246007777978803014111283716192494819.28%3117476.21%9497162630.57%512204725.01%294104028.27%1673110523006461113502
20178438310453333031317422312012221631333042151903311167180-13983305388682201181109527690922936895246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201882185103325305322-1741102301214164150144182802111141172-315430552382824077119104235207737537903198112946514932886121.18%2265476.11%8758151550.03%855185246.17%631123251.22%1651101520696741248606
20198449210256130121685422870024116797704221140232013411915120301543844030111988429310103510218482676101276417143528022.73%3627379.83%111116197356.56%958188450.85%587107954.40%2048136218106661229621
20208449190562347627320342248044022591361234225110122121713780121476782125801169116184102866100592891637257798873717023369327.68%3658576.71%19864159354.24%831152354.56%702128454.67%2087138117306581265650
Total Saison régulière4181731750152215181667137629120998710711913869618251209751040811657987584044616672800446781316950159937813378100544354423345013926515332228038153236323.69%147333277.46%654049849047.69%3762878942.80%2780585147.51%940361779846328460622973
Séries éliminatoires
201640400000510-52020000025-32020000035-2058130000149402047231505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
2019105500000323115320000016142523000001617-11032578900013108368012411412335311790182411126.83%451371.11%111324146.89%11023347.21%6713151.15%2481732247613969
202032100000107321100000660110000004134101626004321130524133494341372100.00%7357.14%0275251.92%244652.17%303976.92%947149174324
Total Séries éliminatoires17710000004748-1945000002425-1835000002323014478112800416131359252185194150597208118324631320.63%571671.93%114638038.42%15237041.08%10321647.69%410284404126234117