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Vernon Vipers
GP: 4 | W: 0 | L: 4
GF: 4 | GA: 12 | PP%: 25.00% | PK%: 80.00%
DG: Mike Fochler | Morale : 46 | Moyenne d’équipe : N/A

Centre de jeu
Minnesota North Stars
7-4-0, 14pts
3
2 Vernon Vipers
0-4-0, 0pts
Team Stats
L1SéquenceL4
4-2-0Fiche domicile0-2-0
3-2-0Fiche domicile0-2-0
6-3-1Derniers 10 matchs0-4-0
3.36Buts par match 1.00
2.55Buts contre par match 3.00
18.18%Pourcentage en avantage numérique25.00%
70.73%Pourcentage en désavantage numérique80.00%
Minnesota North Stars
7-4-0, 14pts
3
2 Vernon Vipers
0-4-0, 0pts
Team Stats
L1SéquenceL4
4-2-0Fiche domicile0-2-0
3-2-0Fiche domicile0-2-0
6-3-1Derniers 10 matchs0-4-0
3.36Buts par match 1.00
2.55Buts contre par match 3.00
18.18%Pourcentage en avantage numérique25.00%
70.73%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Lian Bischel
1
Passes
Albert Johansson
2
Points
Albert Johansson
2
Plus/Moins
Brad Lambert
0
Victoires
Erik Portillo
0
Pourcentage d’arrêts
Erik Portillo
0.887

Statistiques d’équipe
Buts pour
4
1.00 GFG
Tirs pour
109
27.25 Avg
Pourcentage en avantage numérique
25.0%
4 GF
Début de zone offensive
37.7%
Buts contre
12
3.00 GAA
Tirs contre
136
34.00 Avg
Pourcentage en désavantage numérique
80.0%%
3 GA
Début de la zone défensive
44.7%
Informations de l'équipe

Directeur généralMike Fochler
EntraîneurMike Vellucci
DivisionPacific Division
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs18


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
1Ryan LombergXX100.0099709276555887725259576857584608200302400,000$
2Brad Lambert (R)XX100.0061508770416974687561556555373707600213900,000$
3Riley Tufte (R)XX100.0088587670926973675759606560484107900272400,000$
4Jayson MegnaXX100.0049509069616973687061596356706208200351350,000$
5Joel Ratkovic-BerndtssonXX100.0050507864476060615056575853353108100212300,000$
6Egor Sokolov (R)XX100.0080509369816975675058596259474707900251750,000$
7Ryan ReavesXX100.0049568172915687635358566857948408200381350,000$
8Oliver Wahlstrom (R)XX100.00646082827166768361586070805343068002511,045,000$
9Tyson JostXXX100.00755680845667728270616271636046083002731,050,000$
10Blake McLaughlin (R)XX100.0050508868306565637056565856614208200251880,000$
11Kirby DachXX100.00755080858580768469666768645343074002421,100,000$
12Philip Tomasino (R)XXX100.00655095855874778254666868675039086002421,000,000$
13Tristen Robins (R)XX100.0055548969466970697357556158403602100231850,000$
14Albert Johansson (R)X100.0071508679367677754057587456484108100242925,000$
15Eli Barnett (R)X100.0055508161905654574053506451383203600211300,000$
16Lian Bischel (R)X100.0099567376937377744059647464384408400213950,000$
17Lucas Johansen (R)X100.0048507971506363674057526853633907900272450,000$
18Simon Lundmark (R)X100.0065508868696973664054556855464808400243600,000$
19Toni Utunen (R)X100.0065509070415959664052526756535008400252600,000$
Rayé
1Josh Filmon (R)XX100.0052509266266473635054555855283002200213500,000$
MOYENNE D’ÉQUIPE100.006653857361677270555858665951440720
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
1Drew Commesso (R)100.007765647381797881797674404107700231800,000$
2Erik Portillo (R)100.007859579879798080797778424206200242900,000$
Rayé
1Dustin Tokarski100.007460577382818179817174767602300351600,000$
MOYENNE D’ÉQUIPE100.00766159818180808080757553530540
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Vellucci70727172616150USA5631$


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
1Albert JohanssonVernon Vipers (VAN)D4022-300417270%99223.12022514000014000%000000.4300000000
2Lian BischelVernon Vipers (VAN)D4112-312010475414.29%88922.3411251400009000%000000.4500000000
3Oliver WahlstromVernon Vipers (VAN)LW/RW4112-1407214487.14%37318.34112312000070020.00%500000.5500000000
4Kirby DachVernon Vipers (VAN)C/RW4022-32061313280%19022.520221140000150041.73%12700000.4400000000
5Brad LambertVernon Vipers (VAN)C/RW41010203880712.50%06716.88101212000020041.43%7000000.3000000000
6Tyson JostVernon Vipers (VAN)C/LW/RW4101-4007511279.09%18020.19101413000080053.33%1500000.2500000000
7Owen PickeringCanucksD4011-2003074100%89022.58011313000012000%000000.2200000000
8Philip TomasinoVernon Vipers (VAN)C/LW/RW4011-30004123100%09022.550112140001150033.33%600000.2200000000
9Ryan LombergVernon Vipers (VAN)LW/RW4000-100536240%05213.0200002000030020.00%50000000000000
10Riley TufteVernon Vipers (VAN)LW/RW4000-2201017230%14411.16000010000000100.00%20000000000000
11Jayson MegnaVernon Vipers (VAN)C/RW4000-400132060%0399.75000013000000041.82%550000000000000
12Eli BarnettVernon Vipers (VAN)D4000000010000%092.450000200005000%00000000000000
13Joel Ratkovic-BerndtssonVernon Vipers (VAN)LW/RW4000-100000000%000.150000000000000%00000000000000
14Egor SokolovVernon Vipers (VAN)LW/RW4000-320250030%0266.610000000000000%20000000000000
15Ryan ReavesVernon Vipers (VAN)LW/RW4000040042040%04912.2900000000000066.67%30000000000000
16Lucas JohansenVernon Vipers (VAN)D4000-540233010%36015.020001100001000%00000000000000
17Blake McLaughlinVernon Vipers (VAN)C/LW4000-300021210%0266.650000000000000%20000000000000
18Simon LundmarkVernon Vipers (VAN)D4000-220401170%38120.4500001200009000%00000000000000
19Toni UtunenVernon Vipers (VAN)D4000-360613130%25614.000000000000000%00000000000000
20Tristen RobinsVernon Vipers (VAN)C/RW4000-100055120%04310.8000000000000030.00%500000000000000
Statistiques d’équipe totales ou en moyenne804812-44400706510931953.67%39116314.5448122614400011050039.77%34200000.2100000000
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
1Drew CommessoVernon Vipers (VAN)10001.000055000300000004100
2Erik PortilloVernon Vipers (VAN)40400.8873.9318300121060000040000
Statistiques d’équipe totales ou en moyenne50400.9123.032380012136000044100


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 Plafond 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
Albert JohanssonVernon Vipers (VAN)D242001-01-04SWEYes168 Lbs6 ft0NoNoFree AgentNoNo22025-08-19FalseFalsePro & Farm925,000$92,500$11,327$No925,000$--------925,000$--------No--------Lien
Blake McLaughlinVernon Vipers (VAN)C/LW252000-02-14USAYes160 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm880,000$88,000$10,776$No---------------------------Lien
Brad LambertVernon Vipers (VAN)C/RW212003-12-19FINYes173 Lbs6 ft1NoNoProspectNoNo32025-07-04FalseFalsePro & Farm900,000$90,000$11,020$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Drew CommessoVernon Vipers (VAN)G232002-07-19USAYes181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$9,796$No---------------------------
Dustin TokarskiVernon Vipers (VAN)G351989-09-16CANNo198 Lbs6 ft0NoNoFree AgentNoNo12025-09-21FalseFalsePro & Farm600,000$60,000$7,347$No---------------------------Lien
Egor SokolovVernon Vipers (VAN)LW/RW252000-06-07RUSYes223 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$9,184$No---------------------------
Eli BarnettVernon Vipers (VAN)D212003-09-16CANYes225 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm300,000$30,000$3,673$No---------------------------
Erik PortilloVernon Vipers (VAN)G242000-09-03SWEYes224 Lbs6 ft6NoNoFree AgentNoNo22025-08-26FalseFalsePro & Farm900,000$90,000$11,020$No900,000$--------900,000$--------No--------
Jayson MegnaVernon Vipers (VAN)C/RW351990-02-01USANo195 Lbs6 ft1NoNoFree AgentNoNo12025-10-03FalseFalsePro & Farm350,000$35,000$4,286$No---------------------------Lien
Joel Ratkovic-BerndtssonVernon Vipers (VAN)LW/RW212003-10-11SWENo179 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm300,000$30,000$3,673$No300,000$--------300,000$--------No--------
Josh FilmonVernon Vipers (VAN)LW/RW212004-03-18CANYes158 Lbs6 ft1NoNoTrade2026-03-11NoNo32025-07-04FalseFalsePro & Farm500,000$50,000$6,122$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Kirby DachVernon Vipers (VAN)C/RW242001-01-21CANNo197 Lbs6 ft4NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm1,100,000$110,000$13,469$No1,100,000$--------1,100,000$--------No--------
Lian BischelVernon Vipers (VAN)D212004-05-18SUIYes231 Lbs6 ft7NoNoTrade2025-09-01NoNo32025-07-04FalseFalsePro & Farm950,000$95,000$11,633$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Lucas JohansenVernon Vipers (VAN)D271997-11-16CANYes183 Lbs6 ft2NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm450,000$45,000$5,510$No450,000$--------450,000$--------No--------
Oliver WahlstromVernon Vipers (VAN)LW/RW252000-06-13USAYes204 Lbs6 ft2NoNoFree AgentNoNo12025-08-16FalseFalsePro & Farm1,045,000$104,500$12,796$No---------------------------Lien
Philip TomasinoVernon Vipers (VAN)C/LW/RW242001-07-28CANYes179 Lbs6 ft0NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm1,000,000$100,000$12,245$No1,000,000$--------1,000,000$--------No--------
Riley TufteVernon Vipers (VAN)LW/RW271998-04-10USAYes236 Lbs6 ft6NoNoFree AgentNoNo22025-09-29FalseFalsePro & Farm400,000$40,000$4,898$No400,000$--------400,000$--------No--------Lien
Ryan LombergVernon Vipers (VAN)LW/RW301994-12-09CANNo187 Lbs5 ft9NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm400,000$40,000$4,898$No400,000$--------400,000$--------No--------Lien
Ryan ReavesVernon Vipers (VAN)LW/RW381987-01-20CANNo225 Lbs6 ft2NoNoFree Agent2025-03-07NoNo12025-10-03FalseFalsePro & Farm350,000$35,000$4,286$No---------------------------Lien
Simon LundmarkVernon Vipers (VAN)D242000-10-08SWEYes202 Lbs6 ft2NoNoProspectNoNo32025-07-04FalseFalsePro & Farm600,000$60,000$7,347$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Toni UtunenVernon Vipers (VAN)D252000-04-27FINYes172 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$60,000$7,347$No600,000$--------600,000$--------No--------
Tristen RobinsVernon Vipers (VAN)C/RW232001-11-15CANYes185 Lbs5 ft11NoNoTrade2026-03-11NoNo1FalseFalsePro & Farm850,000$85,000$10,408$No---------------------------
Tyson JostVernon Vipers (VAN)C/LW/RW271998-03-14CANNo187 Lbs5 ft11NoNoFree AgentNoNo32025-08-16FalseFalsePro & Farm1,050,000$105,000$12,857$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.65194 Lbs6 ft21.83695,652$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoKirby DachOliver Wahlstrom36122
2Ryan ReavesTyson JostRiley Tufte32122
3Ryan LombergJayson MegnaEgor Sokolov22122
4Blake McLaughlinBrad LambertTristen Robins10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson36122
2Simon LundmarkLucas Johansen32122
3Toni UtunenEli Barnett22122
4Lian BischelAlbert Johansson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoKirby DachOliver Wahlstrom60122
2Ryan ReavesTyson JostRiley Tufte40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson60122
2Simon LundmarkLucas Johansen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachPhilip Tomasino60122
2Oliver WahlstromTyson Jost40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson60122
2Simon LundmarkLucas Johansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kirby Dach60122Lian BischelAlbert Johansson60122
2Philip Tomasino40122Simon LundmarkLucas Johansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachPhilip Tomasino60122
2Oliver WahlstromTyson Jost40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson60122
2Simon LundmarkLucas Johansen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philip TomasinoKirby DachOliver WahlstromLian BischelAlbert Johansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philip TomasinoKirby DachOliver WahlstromLian BischelAlbert Johansson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Ratkovic-Berndtsson, Ryan Lomberg, Egor SokolovJoel Ratkovic-Berndtsson, Ryan LombergEgor Sokolov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Toni Utunen, Eli Barnett, Simon LundmarkToni UtunenEli Barnett, Simon Lundmark
Tirs de pénalité
Kirby Dach, Philip Tomasino, Oliver Wahlstrom, Tyson Jost, Ryan Reaves
Gardien
#1 : Erik Portillo, #2 : Drew Commesso


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
1Minnesota North Stars40400000412-82020000046-22020000006-600.0004812002110109323839013639407016425.00%15380.00%04712936.43%6415341.83%256041.67%8657103314923
Total40400000412-82020000046-22020000006-600.0004812002110109323839013639407016425.00%15380.00%04712936.43%6415341.83%256041.67%8657103314923
_Since Last GM Reset40400000412-82020000046-22020000006-600.0004812002110109323839013639407016425.00%15380.00%04712936.43%6415341.83%256041.67%8657103314923
_Vs Conference40400000412-82020000046-22020000006-600.0004812002110109323839013639407016425.00%15380.00%04712936.43%6415341.83%256041.67%8657103314923

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L4481210913639407000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000412
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000046
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000006
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16425.00%15380.00%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
32383902110
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
4712936.43%6415341.83%256041.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8657103314923


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
25Vernon Vipers0Minnesota North Stars3LSommaire du match
413Vernon Vipers0Minnesota North Stars3LSommaire du match
621Minnesota North Stars3Vernon Vipers2LSommaire du match
829Minnesota North Stars3Vernon Vipers2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3000 - 100.00% 68,000$136,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,600,000$ 1,600,000$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 0$ 0$




Vernon Vipers 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

Vernon Vipers 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

Vernon Vipers 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

Vernon Vipers 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

Vernon Vipers 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