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Werewolves
GP: 10 | W: 6 | L: 4
GF: 44 | GA: 32 | PP%: 28.81% | PK%: 74.51%
DG: Jean-Nicolas Bleau | Morale : 50 | Moyenne d’équipe : 65
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Centre de jeu
Barbus
11-7-0, 22pts
3
FINAL
1 Werewolves
6-4-0, 12pts
Team Stats
L1SéquenceL4
9-0-0Fiche domicile4-1-0
2-7-0Fiche domicile2-3-0
6-3-1Derniers 10 matchs6-4-0
3.61Buts par match 4.40
2.67Buts contre par match 3.20
23.96%Pourcentage en avantage numérique28.81%
73.68%Pourcentage en désavantage numérique74.51%
Werewolves
6-4-0, 12pts
2
FINAL
6 Barbus
11-7-0, 22pts
Team Stats
L4SéquenceL1
4-1-0Fiche domicile9-0-0
2-3-0Fiche domicile2-7-0
6-4-0Derniers 10 matchs6-3-1
4.40Buts par match 3.61
3.20Buts contre par match 2.67
28.81%Pourcentage en avantage numérique23.96%
74.51%Pourcentage en désavantage numérique73.68%
Meneurs d'équipe
Kevin LabancButs
Kevin Labanc
7
Passes
Wyatt Johnston
10
Points
Wyatt Johnston
14
Kevin LabancPlus/Moins
Kevin Labanc
8
Victoires
Connor Ingram
6
Pourcentage d’arrêts
Connor Ingram
0.911

Statistiques d’équipe
Buts pour
44
4.40 GFG
Tirs pour
388
38.80 Avg
Pourcentage en avantage numérique
28.8%
17 GF
Début de zone offensive
36.4%
Buts contre
32
3.20 GAA
Tirs contre
360
36.00 Avg
Pourcentage en désavantage numérique
74.5%%
13 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralJean-Nicolas Bleau
EntraîneurRick Bowness
DivisionOrr
ConférenceConference 1
Capitaine
Assistant #1Ty Dellandrea
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure27
Limite contact 58 / 60
Espoirs40


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
1Egor Sokolov (R)0XX100.00808276688284896550444468604545050700231850,000$
2Blake Coleman0X100.00784481877370996242504974457074017690312650,000$
3Ty Dellandrea (A)0XX100.008057817567689359565047762557580506802321,400,833$
4Mason Appleton0XX100.00764493807273715931514777256465033680272650,000$
5Wyatt Johnston (R)0X100.006141918266729269555051692555550476702021,000,417$
6Evgeni Dadonov0XX100.00654191826768937331524763387172050670332650,000$
7Dakota Joshua0XX100.00937878707059895952494776255859050670272650,000$
8Mark Kastelic (R)0X100.008999587286539362904747742551510506702421,500,000$
9Mason Marchment0XXX100.00786568807872786937514864256061018670281800,000$
10Alexander Nylander (R)0XX100.00787194737179836650424267654444050670252750,000$
11Kevin Labanc0X100.007543858167686473555049647568680506602724,725,000$
12Alexey Toropchenko (R)0XX100.00834594827162896031484775255253050650242750,000$
13Fredrik Karlstrom (R)0X100.00787389667373776075404065554444050650252750,000$
14Dmitry Kulikov0X100.007944857872789160254945922582840506903221,440,000$
15Jacob Middleton0X100.008077757780789059254945882563640506802732,450,000$
16Jonas Siegenthaler0X100.007845847679809258255046852565650506802621,125,000$
17Marcus Bjork (R)0X100.00794466677675817625504675254747048670252650,000$
18Jacob Bryson0X100.00674295766565835825484575256161047630252650,000$
19Ian Mitchell (R)0X100.006541927664697065255045662547470506202421,775,000$
20Thomas Harley0X100.007671887871788457254141644747470506102211,288,333$
Rayé
1Riley Tufte (R)0X100.00788561688576816050393965594545050660251995,833$
2Aliaksei Protas0X100.00694392727559886538494669255555050640221888,333$
3Jakub Lauko (R)0XX100.00847485676752735526484874254646050620232871,667$
4Daniil Gushchin (R)0X100.00675888675874786150404060574444050620212902,500$
5Vladislav Kolyachonok0X100.00726979776977854925393960384747050590221905,000$
6Vincent Iorio (R)0X100.00827794657773795025404065384444050590202894,167$
7Matthew Kessel (R)0X100.00757674647659615225414162394444050560232650,000$
MOYENNE D’ÉQUIPE100.0076608374727083624047457137555504765
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
1Connor Ingram (R)0100.0072726876766880717772684647056720261733,333$
2Matthew Murray (R)0100.0055405060595560636060304444050580252650,000$
3Jiri Patera (R)0100.0054475980585551585554304444050570242800,000$
Rayé
1Jet Greaves (R)0100.0049506365495150555151304444050540222650,000$
MOYENNE D’ÉQUIPE100.005852607061576062615940454505260
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness70707070707070CAN642450,000$


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
1Wyatt JohnstonWerewolves (GOB)C104101482010163271912.50%519519.55134742000030144.67%150283001.4300000110
2Evgeni DadonovWerewolves (GOB)LW/RW1041014800872642115.38%119219.25156642000011025.00%8164011.4500000101
3Shane PintoGoblinsC47613400291651343.75%27117.75437714000000072.73%77220013.6600000210
4T.J. OshieGoblinsC/RW44711420931522226.67%06917.4525751400000110%2222003.1500000011
5Kevin LabancWerewolves (GOB)RW107310812017623112430.43%019019.05112842000000150.00%8294001.0500000011
6Jonas SiegenthalerWerewolves (GOB)D10246-54024152917166.90%2628728.732351355000144000%0725000.4200000001
7Dmitry KulikovWerewolves (GOB)D10055714010311413170%1919719.7900000000024000%0222000.5100000000
8Marcus BjorkWerewolves (GOB)D10145720159141187.14%515315.3813493800001000%0111000.6500000000
9Mason AppletonWerewolves (GOB)LW/RW10235-20056239178.70%914714.76000000001210042.86%14174000.6800000000
10Jacob BrysonWerewolves (GOB)D1013460041711749.09%1418918.9900000000029100%0516000.4200000000
11Ty DellandreaWerewolves (GOB)C/RW10224-21409172111189.52%1317717.74000000000500046.00%150143000.4500000000
12Jacob MiddletonWerewolves (GOB)D10134-512016292214174.55%2928028.09123354000039010%0113000.2800000001
13Mason MarchmentWerewolves (GOB)C/LW/RW63140140106335119.09%113522.55112536000002043.59%117292000.5900000100
14Thomas HarleyWerewolves (GOB)D10224760111498322.22%1522122.1320263800005010%009000.3600000001
15Blake ColemanWerewolves (GOB)RW6134000810328233.13%412821.391121235000000080.00%5343000.6200000010
16Dakota JoshuaWerewolves (GOB)C/RW10123-21201311108610.00%412312.3100000000001057.14%752000.4900000000
17Alexander NylanderWerewolves (GOB)LW/RW10033400161043100%420320.35022251000000042.86%1421000.2900000000
18Alexey ToropchenkoWerewolves (GOB)LW/RW10112-200516238254.35%415315.35000000004540011.11%9255000.2600000000
19Egor SokolovWerewolves (GOB)LW/RW10022-2009974100%3949.4201100000000050.00%433000.4200000000
20Mark KastelicWerewolves (GOB)C10101-26012920695.00%410610.6200000000190056.45%62150000.1900000000
21Fredrik KarlstromWerewolves (GOB)C10011000001000%120.2301100000010060.00%501008.8900000000
22Ian MitchellWerewolves (GOB)D10000-100303220%5575.770000000001000%01700000000000
Statistiques d’équipe totales ou en moyenne200447511940100021625038816329511.34%168337916.901731488347100072896549.05%632278140020.7000000556
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
1Connor IngramWerewolves (GOB)106400.9112.7869120323602140000100100
Statistiques d’équipe totales ou en moyenne106400.9112.786912032360214000100100


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
Alexander NylanderWerewolves (GOB)LW/RW253/2/1998Yes192 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Alexey ToropchenkoWerewolves (GOB)LW/RW246/25/1999Yes187 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Aliaksei ProtasWerewolves (GOB)C221/6/2001No190 Lbs196 CMNoNoN/ANoNo1FalseFalsePro & Farm888,333$0$0$No------------------Lien
Blake ColemanWerewolves (GOB)RW3111/27/1991No207 Lbs180 CMNoNoFree AgentNoNo21/7/2024FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Connor IngramWerewolves (GOB)G263/30/1997Yes212 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm733,333$0$0$No------------------Lien
Dakota JoshuaWerewolves (GOB)C/RW275/15/1996No183 Lbs188 CMNoNoFree AgentNoNo212/28/2023FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Daniil GushchinWerewolves (GOB)LW216/2/2002Yes165 Lbs173 CMNoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------No--------
Dmitry KulikovWerewolves (GOB)D3210/29/1990No199 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,440,000$0$0$No1,440,000$--------No--------Lien / Lien NHL
Egor SokolovWerewolves (GOB)LW/RW236/7/2000Yes215 Lbs196 CMNoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------Lien
Evgeni DadonovWerewolves (GOB)LW/RW3312/3/1989No189 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Fredrik KarlstromWerewolves (GOB)C251/12/1998Yes190 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Ian MitchellWerewolves (GOB)D241/18/1999Yes175 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm1,775,000$0$0$No1,775,000$--------No--------Lien
Jacob BrysonWerewolves (GOB)D2511/18/1997No185 Lbs175 CMNoNoFree AgentNoNo22/25/2024FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Jacob MiddletonWerewolves (GOB)D271/2/1996No210 Lbs191 CMNoNoN/ANoNo3FalseFalsePro & Farm2,450,000$0$0$No2,450,000$2,450,000$-------NoNo-------Lien / Lien NHL
Jakub LaukoWerewolves (GOB)LW/RW233/28/2000Yes179 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm871,667$0$0$No871,667$--------No--------Lien
Jet GreavesWerewolves (GOB)G223/30/2001Yes180 Lbs183 CMNoNoFree AgentNoNo21/12/2024FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Jiri PateraWerewolves (GOB)G242/24/1999Yes209 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien
Jonas SiegenthalerWerewolves (GOB)D265/6/1997No210 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm1,125,000$0$0$No1,125,000$--------No--------Lien / Lien NHL
Kevin LabancWerewolves (GOB)RW2712/12/1995No185 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm4,725,000$0$0$No4,725,000$--------No--------Lien / Lien NHL
Marcus BjorkWerewolves (GOB)D2511/24/1997Yes203 Lbs191 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Mark KastelicWerewolves (GOB)C243/10/1999Yes223 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Mason AppletonWerewolves (GOB)LW/RW271/15/1996No193 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Mason MarchmentWerewolves (GOB)C/LW/RW283/6/1995No201 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien / Lien NHL
Matthew KesselWerewolves (GOB)D236/23/2000Yes205 Lbs188 CMNoNoFree AgentNoNo21/12/2024FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Matthew MurrayWerewolves (GOB)G252/2/1998Yes170 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Riley TufteWerewolves (GOB)LW254/10/1998Yes220 Lbs198 CMNoNoN/ANoNo1FalseFalsePro & Farm995,833$0$0$No------------------Lien
Thomas HarleyWerewolves (GOB)D228/18/2001No188 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm1,288,333$0$0$No------------------Lien
Ty DellandreaWerewolves (GOB)C/RW237/20/2000No184 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm1,400,833$0$0$No1,400,833$--------No--------Lien
Vincent IorioWerewolves (GOB)D2011/14/2002Yes200 Lbs193 CMNoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------No--------
Vladislav KolyachonokWerewolves (GOB)D225/26/2001No189 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm905,000$0$0$No------------------Lien
Wyatt JohnstonWerewolves (GOB)C205/14/2003Yes178 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,000,417$0$0$No1,000,417$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3124.87194 Lbs188 CM1.811,078,884$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderMason MarchmentBlake Coleman32122
2Evgeni DadonovWyatt JohnstonKevin Labanc30122
3Mason AppletonTy DellandreaDakota Joshua22122
4Egor SokolovMark KastelicAlexey Toropchenko16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerJacob Middleton37122
2Thomas HarleyDmitry Kulikov33122
3Marcus BjorkJacob Bryson20122
4Ian MitchellJacob Bryson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderMason MarchmentBlake Coleman60122
2Evgeni DadonovWyatt JohnstonKevin Labanc40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerJacob Middleton60122
2Thomas HarleyMarcus Bjork40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ty DellandreaAlexey Toropchenko60122
2Mark KastelicMason Appleton40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerJacob Middleton60122
2Jacob BrysonDmitry Kulikov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Fredrik Karlstrom60122Marcus BjorkIan Mitchell60122
2Dakota Joshua40122Dmitry KulikovThomas Harley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason MarchmentAlexander Nylander60122
2Fredrik KarlstromEgor Sokolov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas SiegenthalerIan Mitchell60122
2Dmitry KulikovJacob Middleton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgeni DadonovWyatt JohnstonMason MarchmentJacob MiddletonThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexey ToropchenkoMark KastelicDakota JoshuaDmitry KulikovJonas Siegenthaler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Wyatt Johnston, Ty Dellandrea, Evgeni DadonovKevin Labanc, Dakota JoshuaMason Appleton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Harley, Dmitry Kulikov, Jacob BrysonIan MitchellJacob Bryson, Dmitry Kulikov
Tirs de pénalité
Kevin Labanc, Mason Marchment, Egor Sokolov, Fredrik Karlstrom, Thomas Harley
Gardien
#1 : Connor Ingram, #2 : Matthew Murray


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
1Barbus624000001220-83210000066030300000614-840.333121931001716101253132106113372351116613939512.82%33875.76%011323049.13%11625046.40%8115253.29%2671742559216885
2Chevalier440000003212202200000018216220000001410481.00032568800171610113513210611337125573677201260.00%18572.22%011323049.13%11625046.40%8115253.29%2671742559216885
Total1064000004432125410000024816523000002024-4120.600447511900171610138813210611337360168102216591728.81%511374.51%011323049.13%11625046.40%8115253.29%2671742559216885
_Since Last GM Reset1064000004432125410000024816523000002024-4120.600447511900171610138813210611337360168102216591728.81%511374.51%011323049.13%11625046.40%8115253.29%2671742559216885
_Vs Conference1064000004432125410000024816523000002024-4120.600447511900171610138813210611337360168102216591728.81%511374.51%011323049.13%11625046.40%8115253.29%2671742559216885

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1012L4447511938836016810221600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
106400004432
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5410000248
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300002024
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
591728.81%511374.51%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
132106113371716101
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
11323049.13%11625046.40%8115253.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2671742559216885


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 - 2024-04-071Chevalier1Werewolves8WSommaire du match
3 - 2024-04-095Chevalier1Werewolves10WSommaire du match
5 - 2024-04-119Werewolves7Chevalier4WSommaire du match
7 - 2024-04-1313Werewolves7Chevalier6WSommaire du match
15 - 2024-04-2129Barbus2Werewolves3WSommaire du match
17 - 2024-04-2331Barbus1Werewolves2WXSommaire du match
19 - 2024-04-2533Werewolves2Barbus4LSommaire du match
21 - 2024-04-2735Werewolves2Barbus4LSommaire du match
23 - 2024-04-2937Barbus3Werewolves1LSommaire du match
25 - 2024-05-0139Werewolves2Barbus6LSommaire 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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,344,541$ 2,853,676$ 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$




Werewolves 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

Werewolves 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

Werewolves 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

Werewolves 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

Werewolves 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