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Connexion

Vagabond
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jonathan Therrien | Morale : 50 | Moyenne d’équipe : 67

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 Pro45
Équipe Mineure21
Limite Contrat66 / 70
Espoirs24


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique510-290-50 (0.600%)
Apparitions en séries éliminatoires 7
Historique en séries éliminatoires (W-L)51 - 33 (0.607%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Christian Dvorak0XX100.00684986827789878384787676808474050770301655,000$
2Anthony Mantha0XX100.00695175739085858247758169788575050750321660,000$
3Ross Colton0XX100.00825190767784848167757372767363050740301650,000$
4Michael Bunting0XX100.00714281757585868250777663787969050740311650,000$
5Michael Rasmussen0XX100.00764888738984857471706975727969050730271650,000$
6Stefan Noesen0X100.00696366738084857552697065738777050710331725,000$
7Ryan Greene (R)0X100.006540867979867174617068707455500507002211,450,000$
8Jonatan Berggren0XX100.00664186757882767347737065726253050690261825,000$
9Alexander Holtz0X100.00664184758282757150676663706858050680241650,000$
10Arthur Kaliyev0XX100.00594273687574697043646856685954050640251825,000$
11Jonathan Lekkerimäki (R)0X100.006040747164676063415759606551500506002211,393,333$
12Nick Jensen0X100.00684089757889877540746778728474050750361653,000$
13Nick Leddy0X100.00584183747987867040666473699181050720351650,000$
14Michael Kesselring0X100.006769607387847474406864737163530507002611,400,000$
Rayé
1Thomas Novak0X100.00644088787685818167757670796858050730291650,000$
2Matias Maccelli0XX100.006540927677858280477673627668580507202500$
3Justin Brazeau0X100.007740897289817678437374717459500507202800$
4Calum Ritchie (R)0XXX100.006240827382817375597472667356500507002121,160,000$
5David Kampf0XX100.006841857479868169786664716982720507003100$
6Easton Cowan (R)0XX100.00715367757883717642747065745450050690212874,000$
7Lenni Hameenaho (R)0XX100.006140787380816467406562646754500506502121,260,000$
8Gavin Brindley0X100.006441847668726968476362626956500506402100$
9Rutger McGroarty (R)0X100.006541766979756567476362616655500506402211,450,000$
10Brad Lambert0XX100.006041777171736567486460576656500506302200$
11Dans Locmelis (R)0XXX100.00624070696261596054575663625050050590221860,000$
12Tanner Howe (R)0X100.00624363666260606042606060615050050590202846,000$
13Ondrej Becher (R)0X100.00614268646563626159595557605050050590221900,000$
14Carter Mazur0X100.006041706564615860425356576052500505802400$
15James Malatesta0X100.005851596662646161425455546151500505702300$
16Samu Tuomaala0X100.005841706563615959425753536051500505702300$
17Coulson Pitre (R)0X100.00594071656060575741545253585050050560211858,334$
18Darren Raddysh0X100.006856768380888389408483778568580507803000$
19Chris Tanev0X100.005941817679918669406762816991810507403600$
20Olen Zellweger0X100.006740808579867780407472767959500507402300$
21Wyatt Kaiser0X100.007041808678887975406970777763530507402400$
22Ryker Evans0X100.006941748381877676407173767759500507302400$
23Emil Lilleberg0X100.007272637586867472407066757159500507102500$
24Helge Grans0X100.006243696467666463405755636152500506102400$
25Tyson Hinds0X100.006143706963656363405954656251500506102300$
26Luca Marrelli (R)0X100.00604170656360606140606060605050050600202926,000$
27Calle Odelius (R)0X100.00584170646360585640545357585050050570221895,000$
28Rodwin Dionicio (R)0X100.00554157585854525240505254535050050540221950,000$
MOYENNE D’ÉQUIPE100.0065457673747772704866656669635705067
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Alex Lyon0100.0083878878898683858587818275050780331650,000$
Rayé
1Clay Stevenson0100.00746772657171737072726155500506502700$
2Thomas Milic0100.00726266606768716870686051500506202300$
MOYENNE D’ÉQUIPE100.007672756876757674767667635805068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN444450,000$


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alex LyonVagabond (PIR)G331992-12-08USANo199 Lbs185 CMNoNoFree AgentNoNo12025-07-14FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------Lien NHL
Alexander HoltzVagabond (PIR)RW242002-01-23SWENo198 Lbs183 CMNoNoFree AgentNoNo12025-10-18FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------
Anthony ManthaVagabond (PIR)LW/RW321994-09-15CANNo240 Lbs196 CMNoNoFree Agent2024-03-09NoNo12025-07-11FalseFalsePro & Farm660,000$660,000$0$0$No---------------------------Lien NHL
Arthur KaliyevVagabond (PIR)LW/RW252001-06-25UZBNo210 Lbs188 CMNoNoFree Agent2024-03-09NoNo12025-05-19FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------
Brad LambertVagabond (PIR)C/RW222003-12-19FINNo173 Lbs185 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Calle OdeliusVagabond (PIR)D222004-05-30SWEYes192 Lbs183 CMNoNoFree AgentNoNo12025-05-29FalseFalsePro & Farm895,000$895,000$0$0$No---------------------------
Calum RitchieVagabond (PIR)C/LW/RW212005-01-21CANYes200 Lbs188 CMNoNoProspectNoNo22026-05-30FalseFalsePro & Farm1,160,000$1,160,000$0$0$No1,160,000$--------1,160,000$--------No--------
Carter MazurVagabond (PIR)LW242002-03-28USANo197 Lbs183 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Chris TanevVagabond (PIR)D361989-12-20CANNo200 Lbs191 CMNoNoDraftNoNo02026-05-30FalseFalsePro & Farm0$0$No---------------------------
Christian DvorakVagabond (PIR)C/LW301996-02-01USANo190 Lbs185 CMNoNoFree AgentNoNo12025-07-11FalseFalsePro & Farm655,000$655,000$0$0$No---------------------------Lien NHL
Clay StevensonVagabond (PIR)G271999-03-03CANNo196 Lbs196 CMNoNoFree AgentNoNo02024-07-17FalseFalsePro & Farm0$0$No---------------------------
Coulson PitreVagabond (PIR)RW212004-12-13CANYes172 Lbs185 CMNoNoFree AgentNoNo12025-05-29FalseFalsePro & Farm858,334$858,334$0$0$No---------------------------
Dans LocmelisVagabond (PIR)C/LW/RW222004-01-21LATYes179 Lbs183 CMNoNoFree AgentNoNo12025-06-12FalseFalsePro & Farm860,000$860,000$0$0$No---------------------------
Darren RaddyshVagabond (PIR)D301996-02-28CANNo202 Lbs185 CMNoNoFree AgentNoNo02024-05-09FalseFalsePro & Farm0$0$No---------------------------
David KampfVagabond (PIR)C/LW311995-01-12CZENo198 Lbs188 CMNoNoFree AgentNoNo02024-12-31FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Easton CowanVagabond (PIR)LW/RW212005-05-20CANYes190 Lbs183 CMNoNoDraftNoNo22026-05-30FalseFalsePro & Farm874,000$874,000$0$0$No874,000$--------874,000$--------No--------
Emil LillebergVagabond (PIR)D252001-02-02NORNo215 Lbs191 CMNoNoFree AgentNoNo02024-11-24FalseFalsePro & Farm0$0$No---------------------------
Gavin BrindleyVagabond (PIR)C212004-10-05USANo173 Lbs173 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Helge GransVagabond (PIR)D242002-05-10SWENo201 Lbs193 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
James MalatestaVagabond (PIR)LW232003-05-31CANNo193 Lbs175 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Jonatan BerggrenVagabond (PIR)LW/RW262000-07-16SWENo195 Lbs180 CMNoNoFree Agent2024-07-02NoNo12025-05-19FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------
Jonathan LekkerimäkiVagabond (PIR)RW222004-07-24SWEYes172 Lbs180 CMNoNoProspectNoNo12025-05-29FalseFalsePro & Farm1,393,333$1,393,333$0$0$No---------------------------
Justin BrazeauVagabond (PIR)RW281998-02-02CANNo232 Lbs198 CMNoNoFree AgentNoNo02024-07-17FalseFalsePro & Farm0$0$No---------------------------
Lenni HameenahoVagabond (PIR)LW/RW212004-11-07FINYes195 Lbs185 CMNoNoProspectNoNo22026-05-30FalseFalsePro & Farm1,260,000$1,260,000$0$0$No1,260,000$--------1,260,000$--------No--------
Luca MarrelliVagabond (PIR)D202005-10-04CANYes185 Lbs188 CMNoNoDraftNoNo22026-05-30FalseFalsePro & Farm926,000$926,000$0$0$No926,000$--------926,000$--------No--------
Matias MaccelliVagabond (PIR)LW/RW252000-10-14FINNo187 Lbs180 CMNoNoFree AgentNoNo02025-05-19FalseFalsePro & Farm0$0$No---------------------------
Michael BuntingVagabond (PIR)LW/RW311995-09-17CANNo186 Lbs183 CMNoNoFree AgentNoNo12025-07-11FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------Lien NHL
Michael KesselringVagabond (PIR)D262000-01-13USANo215 Lbs196 CMNoNoFree AgentNoNo12025-05-19FalseFalsePro & Farm1,400,000$1,400,000$0$0$No---------------------------
Michael RasmussenVagabond (PIR)C/LW271999-04-17CANNo222 Lbs198 CMNoNoFree Agent2024-05-25NoNo12025-07-18FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------Lien NHL
Nick JensenVagabond (PIR)D361990-09-20USANo202 Lbs183 CMNoNoFree AgentNoNo12025-07-11FalseFalsePro & Farm653,000$653,000$0$0$No---------------------------Lien NHL
Nick LeddyVagabond (PIR)D351991-03-20USANo205 Lbs183 CMNoNoFree AgentNoNo12025-07-11FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------Lien NHL
Olen ZellwegerVagabond (PIR)D232003-09-10CANNo193 Lbs178 CMNoNoTrade2026-02-05NoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Ondrej BecherVagabond (PIR)C222004-02-22CZEYes200 Lbs185 CMNoNoFree AgentNoNo12025-05-29FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------
Rodwin DionicioVagabond (PIR)D222004-03-30SUIYes194 Lbs188 CMNoNoFree AgentNoNo12025-05-29FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------
Ross ColtonVagabond (PIR)C/LW301996-09-11USANo194 Lbs183 CMNoNoFree AgentNoNo12025-07-19FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------
Rutger McGroartyVagabond (PIR)RW222004-03-30USAYes212 Lbs185 CMNoNoFree AgentNoNo12025-05-29FalseFalsePro & Farm1,450,000$1,450,000$0$0$No---------------------------
Ryan GreeneVagabond (PIR)C222003-10-21CANYes195 Lbs185 CMNoNoFree AgentNoNo12025-05-29FalseFalsePro & Farm1,450,000$1,450,000$0$0$No---------------------------
Ryker EvansVagabond (PIR)D242001-12-13CANNo195 Lbs183 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Samu TuomaalaVagabond (PIR)RW232003-01-08FINNo190 Lbs180 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Stefan NoesenVagabond (PIR)RW331993-02-12USANo205 Lbs185 CMNoNoFree AgentNoNo12025-07-11FalseFalsePro & Farm725,000$725,000$0$0$No---------------------------Lien NHL
Tanner HoweVagabond (PIR)LW202005-11-28CANYes187 Lbs180 CMNoNoDraftNoNo22026-05-30FalseFalsePro & Farm846,000$846,000$0$0$No846,000$--------846,000$--------No--------
Thomas MilicVagabond (PIR)G232003-04-14CANNo175 Lbs183 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Thomas NovakVagabond (PIR)C291997-04-28USANo190 Lbs185 CMNoNoDraftNoNo12026-05-30FalseFalsePro & Farm650,000$650,000$0$0$No---------------------------
Tyson HindsVagabond (PIR)D232003-03-12CANNo179 Lbs191 CMNoNoProspectNoNo02024-06-14FalseFalsePro & Farm0$0$No---------------------------
Wyatt KaiserVagabond (PIR)D242002-07-31USANo190 Lbs183 CMNoNoFree AgentNoNo02024-07-17FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4525.58196 Lbs185 CM0.71535,904$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingStefan Noesen40122
2Christian DvorakMichael Rasmussen30122
3Anthony ManthaRoss ColtonAlexander Holtz20122
4Jonatan Berggren10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringNick Jensen40122
2Nick Leddy35122
325122
4Michael KesselringNick Jensen0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Bunting60122
2Anthony ManthaMichael RasmussenStefan Noesen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Michael KesselringNick Leddy40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenMichael Bunting60122
2Ross Colton40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringNick Jensen60122
2Nick Leddy40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Rasmussen60122Michael KesselringNick Jensen60122
2Ross Colton40122Nick Leddy40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenMichael Bunting60122
2Ross Colton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick LeddyNick Jensen60122
2Nick Leddy40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BuntingMichael RasmussenStefan NoesenMichael KesselringNick Jensen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BuntingMichael RasmussenStefan NoesenMichael KesselringNick Jensen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Dvorak, Michael Rasmussen, Christian Dvorak, Michael RasmussenChristian Dvorak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Leddy, , Nick JensenNick LeddyMichael Kesselring,
Tirs de pénalité
Stefan Noesen, Michael Bunting, Michael Rasmussen, Ross Colton, Christian Dvorak
Gardien
#1 : Alex Lyon, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%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%000%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%000%000%
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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
45 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,411,566$ 2,411,566$ 450,000$0$
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
1Jack Roslovic82582482-101341432606988.31%266198524.212193015800000043.62%20.8301
2Mike Vecchione82245882-10102801217993.00%151197324.079213019200000040.91%00.8300

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
201683453102032650234416412512010123271062214220190102032312819510265011381788142272082108265093286982544228580890918142939030.72%2605379.62%22987160161.65%834153254.44%852145058.76%2066140617136251226634
20178448180347439517821742257003432169112542231103131179879212439571311081813612612318271889386292772236576486316682966923.31%4175886.09%111035175259.08%991173457.15%684114459.79%2051135218016841258633
20188208200000823190-31084104100000461556-15104104100000361634-1598082861680016363001575534570471037871421704462823010.64%362627.78%0397116034.22%23075030.67%1269387332.77%124984525635541107381
2019844326014643072495842268012321801087242171800232127141-14108307494801121011009910306310541030953612904103359711863548724.58%2936976.45%2904200445.11%732187739.00%463113740.72%2010139619336401161569
20208466106056431112319423300402321954165423310203321258154160431656108703147127146182582948825776912764109862712803338625.83%3084087.01%11831145457.15%972175855.29%614111754.97%1882119719176961302662
202184295100013498747-24942162400011254346-9242132700002244401-157634988061304102051641281317511691053945202492993602162231811736.79%30312957.43%14906162555.75%627118253.05%963184652.17%2087141917136231258641
20228258120032784521163441322002234629636641261000104383115268130845136222070129628426342773936882933592519102576216352479839.68%3819275.85%32793134758.87%895163254.84%928163056.93%2021135617096351238645
2023905530031011284324960453490200069312956445212101101591195396118128421223406011545444292331921166107793814245799665618362629536.26%3279670.64%60753141253.33%708137651.45%1392222062.70%2455175016456081313730
202490542201427555285270452911010132701381324525110041428514713812555591914742319020315963175110810221027502374802573205638912231.36%2646376.14%131213198061.26%1080175661.50%1076163066.01%2228127315587441671962
20259069170031063329134245348002103201411794535900100313150163143633104216750520923019313109100010711032102281747614204240314235.24%2745281.02%141250193064.77%1107173463.84%1134173065.55%2308137015086981594938
Total Saison régulière85346729001619273456805821-1414262541220991517298727652224272131680710121726933056-363107356809338150186372072192216436928012974092618827421262289687627315585317793629.46%286367876.32%17990691626555.76%81761533153.33%93751777752.74%2036113368180646511131326799
Séries éliminatoires
201640400000723-1620200000414-102020000039-6071118003220128603731013965516022313.64%18761.11%0339534.74%268032.50%236933.33%8558104305024
2019734000002126-531200000911-2422000001215-3621355620116402549385651124591466919210.53%23578.26%05715237.50%5516732.93%328537.65%1601081735810347
20201312100000381919770000002091165100000181082438599700151373449131131168194242218821336616.67%44784.09%014525656.64%14626954.28%7515249.34%309203295101204106
20221710700000734726963000004224188440000031238207312419700302023053617018616614517206134330601830.00%682267.65%213628847.22%16832451.85%13024054.17%391250381143267133
2023624000003135-4321000002213930300000922-1343151820010101102006564710188874813224729.17%251156.00%04911841.53%4211137.84%3810137.62%13888131479045
2024201280000078621610730000046351110550000032275247813020811202727468320122824212569178147456671725.37%59788.14%127449255.69%25545356.29%17330556.72%475277382179360189
2025171250000076492784400000282539810000048242424761262020019253205701812071811479150152376561323.21%641182.81%124942658.45%20436655.74%16127458.76%385226328156307153
Total Séries éliminatoires845133000003242616342271500000171131404224180000015313023102324536860311081031067282090193892457256199866616362846623.24%3017076.74%4943182751.61%896177050.62%632122651.55%1946121317977161384701

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