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Vernon Vipers
GP: 80 | W: 42 | L: 29 | OTL: 9 | P: 93
GF: 255 | GA: 228 | PP%: 16.99% | PK%: 84.43%
DG: Mike Fochler | Morale : 72 | Moyenne d’équipe : N/A
Prochains matchs #1276 vs Grand Rapids Griffins

Centre de jeu
Vernon Vipers
42-29-9, 93pts
0
2 Longueuil Unicorns
49-23-5, 103pts
Team Stats
SOL1SéquenceW4
23-12-4Fiche domicile26-11-3
19-17-5Fiche domicile23-12-2
3-4-3Derniers 10 matchs9-1-0
3.19Buts par match 3.18
2.85Buts contre par match 2.56
16.99%Pourcentage en avantage numérique20.65%
84.43%Pourcentage en désavantage numérique80.44%
Vernon Vipers
42-29-9, 93pts
3
4 Tahoe Bell
37-35-7, 81pts
Team Stats
SOL1SéquenceSOW1
23-12-4Fiche domicile18-20-2
19-17-5Fiche domicile19-15-5
3-4-3Derniers 10 matchs5-5-0
3.19Buts par match 2.80
2.85Buts contre par match 3.04
16.99%Pourcentage en avantage numérique18.55%
84.43%Pourcentage en désavantage numérique80.00%
Grand Rapids Griffins
42-32-5, 89pts
Jour 155
Vernon Vipers
42-29-9, 93pts
Statistiques d’équipe
W1SéquenceSOL1
23-16-1Fiche domicile23-12-4
19-16-4Fiche visiteur19-17-5
4-6-010 derniers matchs3-4-3
3.08Buts par match 3.19
2.89Buts contre par match 3.19
20.00%Pourcentage en avantage numérique16.99%
80.46%Pourcentage en désavantage numérique84.43%
Coachella Valley Firebirds
35-34-10, 80pts
Jour 158
Vernon Vipers
42-29-9, 93pts
Statistiques d’équipe
W1SéquenceSOL1
18-17-5Fiche domicile23-12-4
17-17-5Fiche visiteur19-17-5
2-5-310 derniers matchs3-4-3
2.63Buts par match 3.19
3.05Buts contre par match 3.19
18.39%Pourcentage en avantage numérique16.99%
79.52%Pourcentage en désavantage numérique84.43%
Meneurs d'équipe
Buts
Kirby Dach
33
Passes
Albert Johansson
39
Points
Kirby Dach
71
Plus/Moins
Kirby Dach
24
Victoires
Erik Portillo
38
Pourcentage d’arrêts
Erik Portillo
0.917

Statistiques d’équipe
Buts pour
255
3.19 GFG
Tirs pour
2614
32.68 Avg
Pourcentage en avantage numérique
17.0%
53 GF
Début de zone offensive
41.2%
Buts contre
228
2.85 GAA
Tirs contre
2528
31.60 Avg
Pourcentage en désavantage numérique
84.4%%
52 GA
Début de la zone défensive
40.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,906
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
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 LombergXX100.0099709276555887725259576857584607600302400,000$
2Brad Lambert (R)XX100.0061508770416974687561556555373707000213900,000$
3Riley Tufte (R)XX100.0088587670926973675759606560484107600272400,000$
4Jayson MegnaXX100.0049509069616973687061596356706207600351350,000$
5Joel Ratkovic-BerndtssonXX100.0050507864476060615056575853353107500212300,000$
6Egor Sokolov (R)XX100.0080509369816975675058596259474706700251750,000$
7Ryan ReavesXX100.0049568172915687635358566857948407600381350,000$
8Oliver Wahlstrom (R)XX100.00646082827166768361586070805343059002511,045,000$
9Tyson JostXXX100.00755680845667728270616271636046075002731,050,000$
10Blake McLaughlin (R)XX100.0050508868306565637056565856614207600251880,000$
11Kirby DachXX100.00755080858580768469666768645343070002421,100,000$
12Philip Tomasino (R)XXX100.00655095855874778254666868675039074002421,000,000$
13Tristen Robins (R)XX100.0055548969466970697357556158403601600231850,000$
14Albert Johansson (R)X100.0071508679367677754057587456484107200242925,000$
15Eli Barnett (R)X100.0055508161905654574053506451383202500211300,000$
16Lian Bischel (R)X100.0099567376937377744059647464384407500213950,000$
17Lucas Johansen (R)X100.0048507971506363674057526853633907500272450,000$
18Owen Pickering (R)X100.0055509377647378754057578057293405400213900,000$
19Simon Lundmark (R)X100.0065508868696973664054556855464807600243600,000$
20Toni Utunen (R)X100.0065509070415959664052526756535007500252600,000$
Rayé
1Josh Filmon (R)XX100.0052509266266473635054555855283002100213500,000$
MOYENNE D’ÉQUIPE100.006553857361677270545858675950440650
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)100.007765647381797881797674404107200231800,000$
2Erik Portillo (R)100.007859579879798080797778424205400242900,000$
Rayé
1Dustin Tokarski100.007460577382818179817174767601900351600,000$
MOYENNE D’ÉQUIPE100.00766159818180808080757553530480
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
1Kirby DachVernon Vipers (VAN)C/RW80333871244002111502577920012.84%15177922.244121655276202123347351.03%160300020.802100001132
2Tyson JostVernon Vipers (VAN)C/LW/RW80283563176801421332767818210.14%16151418.93613196226512361384551.43%35000110.8325000545
3Philip TomasinoVernon Vipers (VAN)C/LW/RW802630562120056112297761728.75%14169521.20731072274224122632240.91%15400000.6649000273
4Lian BischelVernon Vipers (VAN)D80173855241480257751474410111.56%107181122.6551419762810110236020%000000.6102000235
5Oliver WahlstromVernon Vipers (VAN)LW/RW7625285396715118112279731768.96%11131017.248917702351123766153.57%11200000.8117201243
6Albert JohanssonVernon Vipers (VAN)D80113950194206661156401117.05%131190423.8041216772600111291200%000000.5300000042
7Owen PickeringVernon Vipers (VAN)D6373239-2300357711234846.25%87139622.173912401950332215100%000000.5600000112
8Jayson MegnaVernon Vipers (VAN)C/RW8011243568013103116341009.48%8110213.78268151140000100252.38%134200000.6300000001
9Brad LambertVernon Vipers (VAN)C/RW80121830-112031144109306811.01%5125315.6703391180000725048.13%152100000.4800000321
10Riley TufteVernon Vipers (VAN)LW/RW791416303661012669155361099.03%4105513.360114300000162049.38%8100000.5712002105
11Toni UtunenVernon Vipers (VAN)D806232967801295951132511.76%81119714.9710122000161110%000000.4800000022
12Lucas JohansenVernon Vipers (VAN)D79620264240354760143510.00%72134317.01123161050000111100%000000.3900000002
13Simon LundmarkVernon Vipers (VAN)D80520252760124435822438.62%82146218.28314211310111135010%000000.3400000010
14Ryan LombergVernon Vipers (VAN)LW/RW79131124024010161125328310.40%137849.93000081011542144.44%5400000.6100000212
15Ryan ReavesVernon Vipers (VAN)LW/RW80111324-6802036100315811.00%1090811.3533619128000000148.78%8200000.5300000210
16Egor SokolovVernon Vipers (VAN)LW/RW7971017-2435634010534776.67%981410.31000000000380127.85%7900000.4200100000
17Joel Ratkovic-BerndtssonVernon Vipers (VAN)LW/RW78426-220491941021.05%32863.6700000000002017.65%1700000.4200000000
18Blake McLaughlinVernon Vipers (VAN)C/LW80055-8203452910200%24005.0100000000000050.80%43500000.2500000000
19Eli BarnettVernon Vipers (VAN)D41033-100612140%81192.90000022011044000%000000.5000000000
20Tristen RobinsVernon Vipers (VAN)C/RW8022120135080%1749.2900000000000034.78%2300000.5400000000
21Dylan HollowayCanucksC/LW/RW11011000441825.00%02323.1700004000030075.00%800000.8600000001
22Brock FaberCanucksD1000000035110%22626.030003400002000%00000000000000
23Josh FilmonVernon Vipers (VAN)LW/RW1000000000000%000.170000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne14652374076441157603015411387246768716759.61%6812226515.204788135541246271219392109352049.82%586100130.581035303313336
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
1Erik PortilloVernon Vipers (VAN)70381960.9172.5738826216620050410.731266415763
2Drew CommessoVernon Vipers (VAN)154530.9072.9467300333550100.688161065011
3Dustin TokarskiVernon Vipers (VAN)60500.8684.4329800221670000060010
Statistiques d’équipe totales ou en moyenne91422990.9132.734854622212527051428080784


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$4,596$No925,000$--------925,000$--------No--------Lien
Blake McLaughlinVernon Vipers (VAN)C/LW252000-02-14USAYes160 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm880,000$88,000$4,373$No---------------------------Lien
Brad LambertVernon Vipers (VAN)C/RW212003-12-19FINYes173 Lbs6 ft1NoNoProspectNoNo32025-07-04FalseFalsePro & Farm900,000$90,000$4,472$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Drew CommessoVernon Vipers (VAN)G232002-07-19USAYes181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$3,975$No---------------------------
Dustin TokarskiVernon Vipers (VAN)G351989-09-16CANNo198 Lbs6 ft0NoNoFree AgentNoNo12025-09-21FalseFalsePro & Farm600,000$60,000$2,981$No---------------------------Lien
Egor SokolovVernon Vipers (VAN)LW/RW252000-06-07RUSYes223 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$3,727$No---------------------------
Eli BarnettVernon Vipers (VAN)D212003-09-16CANYes225 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm300,000$30,000$1,491$No---------------------------
Erik PortilloVernon Vipers (VAN)G242000-09-03SWEYes224 Lbs6 ft6NoNoFree AgentNoNo22025-08-26FalseFalsePro & Farm900,000$90,000$4,472$No900,000$--------900,000$--------No--------
Jayson MegnaVernon Vipers (VAN)C/RW351990-02-01USANo195 Lbs6 ft1NoNoFree AgentNoNo12025-10-03FalseFalsePro & Farm350,000$35,000$1,739$No---------------------------Lien
Joel Ratkovic-BerndtssonVernon Vipers (VAN)LW/RW212003-10-11SWENo179 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm300,000$30,000$1,491$No300,000$--------300,000$--------No--------
Josh FilmonVernon Vipers (VAN)LW/RW212004-03-18CANYes158 Lbs6 ft1NoNoTrade2026-03-11NoNo32025-07-04FalseFalsePro & Farm500,000$50,000$2,484$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$5,466$No1,100,000$--------1,100,000$--------No--------
Lian BischelVernon Vipers (VAN)D212004-05-18SUIYes231 Lbs6 ft7NoNoTrade2025-09-01NoNo32025-07-04FalseFalsePro & Farm950,000$95,000$4,720$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$2,236$No450,000$--------450,000$--------No--------
Oliver WahlstromVernon Vipers (VAN)LW/RW252000-06-13USAYes204 Lbs6 ft2NoNoFree AgentNoNo12025-08-16FalseFalsePro & Farm1,045,000$104,500$5,193$No---------------------------Lien
Owen PickeringVernon Vipers (VAN)D212004-01-27CANYes200 Lbs6 ft5NoNoProspectNoNo32025-07-04FalseFalsePro & Farm900,000$90,000$4,472$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Philip TomasinoVernon Vipers (VAN)C/LW/RW242001-07-28CANYes179 Lbs6 ft0NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm1,000,000$100,000$4,969$No1,000,000$--------1,000,000$--------No--------
Riley TufteVernon Vipers (VAN)LW/RW271998-04-10USAYes236 Lbs6 ft6NoNoFree AgentNoNo22025-09-29FalseFalsePro & Farm400,000$40,000$1,988$No400,000$--------400,000$--------No--------Lien
Ryan LombergVernon Vipers (VAN)LW/RW301994-12-09CANNo187 Lbs5 ft9NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm400,000$40,000$1,988$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$1,739$No---------------------------Lien
Simon LundmarkVernon Vipers (VAN)D242000-10-08SWEYes202 Lbs6 ft2NoNoProspectNoNo32025-07-04FalseFalsePro & Farm600,000$60,000$2,981$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Toni UtunenVernon Vipers (VAN)D252000-04-27FINYes172 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$60,000$2,981$No600,000$--------600,000$--------No--------
Tristen RobinsVernon Vipers (VAN)C/RW232001-11-15CANYes185 Lbs5 ft11NoNoTrade2026-03-11NoNo1FalseFalsePro & Farm850,000$85,000$4,224$No---------------------------
Tyson JostVernon Vipers (VAN)C/LW/RW271998-03-14CANNo187 Lbs5 ft11NoNoFree AgentNoNo32025-08-16FalseFalsePro & Farm1,050,000$105,000$5,217$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.46195 Lbs6 ft21.88704,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoKirby DachTyson Jost36122
2Ryan ReavesBrad LambertOliver Wahlstrom32122
3Ryan LombergTristen RobinsRiley Tufte22122
4Blake McLaughlinJayson MegnaEgor Sokolov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson36122
2Owen PickeringSimon Lundmark32122
3Lucas JohansenToni Utunen22122
4Lian BischelOwen Pickering10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoKirby DachTyson Jost60122
2Oliver WahlstromJayson MegnaBrad Lambert40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson60122
2Owen PickeringSimon Lundmark40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachPhilip Tomasino60122
2Tyson JostOliver Wahlstrom40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson60122
2Owen PickeringSimon Lundmark40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kirby Dach60122Lian BischelAlbert Johansson60122
2Tyson Jost40122Owen PickeringSimon Lundmark40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachPhilip Tomasino60122
2Tyson JostOliver Wahlstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lian BischelAlbert Johansson60122
2Owen PickeringSimon Lundmark40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philip TomasinoKirby DachOliver WahlstromLian BischelAlbert Johansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philip TomasinoKirby DachOliver WahlstromLian BischelOwen Pickering
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kirby Dach, Tyson Jost, Philip TomasinoKirby Dach, Tyson JostKirby Dach
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen Pickering, Lian Bischel, Albert JohanssonLian BischelOwen Pickering, Lian Bischel
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
1Calgary Wranglers41100011181353110001015961000000134-150.62518294700957677141638448328928713236407418738.89%17476.47%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
2Cleveland Barons21000010945110000006241000001032141.0009132200957677147984483289287751922376116.67%11372.73%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
3Coachella Valley Firebirds312000007701010000001-12110000076120.33371118009576771410884483289287891720601300.00%10280.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
4Courtenay Crusaders22000000642110000003211100000032141.00061218009576771471844832892877014372711218.18%100100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
5Dallas Flaming Dragons30200001813-52010000169-31010000024-210.167815231095767714888448328928710924226113430.77%11372.73%11422289849.07%1454284451.13%694129153.76%1985137618465961030520
6Eagle Mountain Orioles3120000067-11010000014-32110000053220.3336121801957677148484483289287981816491218.33%6266.67%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
7False Creek Flaming Poo20100010770100000105411010000023-120.5007111800957677146284483289287703428448225.00%13376.92%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
8Grand Rapids Griffins11000000312000000000001100000031221.000369009576771434844832892873391017200.00%50100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
9Halifax Explosion21100000642110000004131010000023-120.5006111700957677145384483289287461435354125.00%10190.00%11422289849.07%1454284451.13%694129153.76%1985137618465961030520
10Hartford Wolf Pack30300000610-41010000034-12020000036-300.0006121800957677148084483289287108192249700.00%100100.00%21422289849.07%1454284451.13%694129153.76%1985137618465961030520
11Hershey Bears2110000056-11010000004-41100000052320.500591400957677146884483289287742645374125.00%14285.71%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
12Honolulu Honey Hams2110000078-11010000036-31100000042220.5007111800957677146184483289287542426346116.67%13192.31%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
13Iowa Wild211000008621010000024-21100000062420.5008122000957677147484483289287751517488112.50%6350.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
14Las Vegas High Rollers531010001711611000000211421010001510580.80017324900957677141598448328928714338309717211.76%15286.67%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
15Laval Rockets320010001367210010007251100000064261.0001322350095767714108844832892879442206714321.43%10280.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
16Longueuil Unicorns3120000068-2211000006601010000002-220.333612180095767714698448328928710322224612325.00%100100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
17Macon Whoopee3200000114113220000009541000000156-150.833142337009576771496844832892879829265110330.00%110100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
18Maine Mariners22000000826110000003121100000051441.0008152300957677146784483289287621714479444.44%60100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
19Milwaukee Admirals2110000057-2110000002111010000036-320.500571200957677145284483289287681528446116.67%14471.43%11422289849.07%1454284451.13%694129153.76%1985137618465961030520
20Minnesota North Stars2020000069-31010000034-11010000035-200.0006121800957677145684483289287741912439111.11%6266.67%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
21Montreal Maroons201000101011-1100000105411010000057-220.50010162600957677146784483289287681322438112.50%10460.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
22Notre Dame Fighting Irish4310000015783210000013761100000020260.75015274201957677141548448328928711128389219315.79%19289.47%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
23Pittsburgh Hornets210001004311000010012-11100000031230.7504590095767714708448328928758171833700.00%90100.00%11422289849.07%1454284451.13%694129153.76%1985137618465961030520
24Providence Bruins42100100131211100000051431100100811-350.62513223500957677141378448328928711437528526519.23%19289.47%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
25Richmond Fender Benders21100000330110000003121010000002-220.50034700957677146884483289287611920389111.11%10190.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
26Rockford IceHogs22000000835110000006241100000021141.000815230095767714748448328928741206407114.29%30100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
27Savannah Ghost Pirates22000000945110000004131100000053241.0009172600957677146884483289287481612339111.11%50100.00%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
28Seattle Metropolitans20100001510-51010000015-41000000145-110.250510150095767714498448328928773282237500.00%11372.73%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
29Tahoe Bell411000021013-3210000015412010000159-440.5001017270095767714124844832892871294344951119.09%21290.48%21422289849.07%1454284451.13%694129153.76%1985137618465961030520
30Trail Smoke Eaters30200010813-5100000106512020000028-620.333813210095767714104844832892871083232581119.09%13376.92%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
31Wasaga Beach Whistling Weiners210001005501000010023-11100000032130.750591400957677146784483289287421614441119.09%6183.33%01422289849.07%1454284451.13%694129153.76%1985137618465961030520
Total80352902356255228273918120124213110526411717011141241231930.5812554426971295767714261484483289287252872077215653125316.99%3345284.43%81422289849.07%1454284451.13%694129153.76%1985137618465961030520
_Since Last GM Reset80352902356255228273918120124213110526411717011141241231930.5812554426971295767714261484483289287252872077215653125316.99%3345284.43%81422289849.07%1454284451.13%694129153.76%1985137618465961030520
_Vs Conference411618020321331221120780103168599219100100165632440.537133231364119576771413308448328928713063723317981632917.79%1523179.61%21422289849.07%1454284451.13%694129153.76%1985137618465961030520
_Vs Division249120202277716124501021423391257010013538-3280.58377134211109576771479984483289287778211186463982020.41%861681.40%11422289849.07%1454284451.13%694129153.76%1985137618465961030520

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8093SOL125544269726142528720772156512
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8035292356255228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3918121242131105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117171114124123
Derniers 10 matchs
WLOTWOTL SOWSOL
340102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3125316.99%3345284.43%8
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
8448328928795767714
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
1422289849.07%1454284451.13%694129153.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1985137618465961030520


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
216Notre Dame Fighting Irish2Vernon Vipers5WSommaire du match
323Vernon Vipers2Las Vegas High Rollers3LSommaire du match
542Vernon Vipers2Providence Bruins5LSommaire du match
655Vernon Vipers4Las Vegas High Rollers3WSommaire du match
767Calgary Wranglers5Vernon Vipers3LSommaire du match
1093Notre Dame Fighting Irish4Vernon Vipers3LSommaire du match
12109Dallas Flaming Dragons4Vernon Vipers3LXXSommaire du match
14126Vernon Vipers2Trail Smoke Eaters5LSommaire du match
16144Macon Whoopee4Vernon Vipers6WSommaire du match
17158Calgary Wranglers2Vernon Vipers3WXXSommaire du match
19173Vernon Vipers3Grand Rapids Griffins1WSommaire du match
20181Vernon Vipers4Las Vegas High Rollers3WXSommaire du match
23206Vernon Vipers2Hartford Wolf Pack3LSommaire du match
24217Tahoe Bell2Vernon Vipers4WSommaire du match
27236Longueuil Unicorns4Vernon Vipers3LSommaire du match
29257Laval Rockets1Vernon Vipers5WSommaire du match
30261Vernon Vipers3Providence Bruins4LXSommaire du match
33281Vernon Vipers3Cleveland Barons2WXXSommaire du match
35298Dallas Flaming Dragons5Vernon Vipers3LSommaire du match
37313Vernon Vipers3Providence Bruins2WSommaire du match
39327Laval Rockets1Vernon Vipers2WXSommaire du match
41342Vernon Vipers2Dallas Flaming Dragons4LSommaire du match
43359Vernon Vipers5Las Vegas High Rollers1WSommaire du match
44373Las Vegas High Rollers1Vernon Vipers2WSommaire du match
46392Iowa Wild4Vernon Vipers2LSommaire du match
47407Vernon Vipers2Rockford IceHogs1WSommaire du match
49420Vernon Vipers1Coachella Valley Firebirds4LSommaire du match
52440Minnesota North Stars4Vernon Vipers3LSommaire du match
53455Cleveland Barons2Vernon Vipers6WSommaire du match
55471Vernon Vipers5Savannah Ghost Pirates3WSommaire du match
57486Vernon Vipers0Trail Smoke Eaters3LSommaire du match
58499Tahoe Bell2Vernon Vipers1LXXSommaire du match
61519Vernon Vipers6Laval Rockets4WSommaire du match
62532Vernon Vipers6Iowa Wild2WSommaire du match
63544Pittsburgh Hornets2Vernon Vipers1LXSommaire du match
66568Trail Smoke Eaters5Vernon Vipers6WXXSommaire du match
68583Vernon Vipers3Minnesota North Stars5LSommaire du match
69597Savannah Ghost Pirates1Vernon Vipers4WSommaire du match
72616Maine Mariners1Vernon Vipers3WSommaire du match
73633Vernon Vipers5Macon Whoopee6LXXSommaire du match
75644Vernon Vipers1Hartford Wolf Pack3LSommaire du match
77660Coachella Valley Firebirds1Vernon Vipers0LSommaire du match
79677Vernon Vipers3Milwaukee Admirals6LSommaire du match
80691Milwaukee Admirals1Vernon Vipers2WSommaire du match
83714Courtenay Crusaders2Vernon Vipers3WSommaire du match
84729Vernon Vipers3Wasaga Beach Whistling Weiners2WSommaire du match
86740Vernon Vipers6Coachella Valley Firebirds2WSommaire du match
88755Richmond Fender Benders1Vernon Vipers3WSommaire du match
91776Rockford IceHogs2Vernon Vipers6WSommaire du match
93792Vernon Vipers4Honolulu Honey Hams2WSommaire du match
95810Calgary Wranglers2Vernon Vipers9WSommaire du match
97825Vernon Vipers4Seattle Metropolitans5LXXSommaire du match
99840Notre Dame Fighting Irish1Vernon Vipers5WSommaire du match
101858Vernon Vipers3Courtenay Crusaders2WSommaire du match
102870Vernon Vipers5Montreal Maroons7LSommaire du match
104886Hershey Bears4Vernon Vipers0LSommaire du match
107905Macon Whoopee1Vernon Vipers3WSommaire du match
109923Vernon Vipers2Notre Dame Fighting Irish0WSommaire du match
111935Seattle Metropolitans5Vernon Vipers1LSommaire du match
113954Vernon Vipers4Eagle Mountain Orioles0WSommaire du match
114967Montreal Maroons4Vernon Vipers5WXXSommaire du match
117985Vernon Vipers3Pittsburgh Hornets1WSommaire du match
118992Vernon Vipers2Halifax Explosion3LSommaire du match
1201010Halifax Explosion1Vernon Vipers4WSommaire du match
1221024Vernon Vipers5Maine Mariners1WSommaire du match
1241040Vernon Vipers1Eagle Mountain Orioles3LSommaire du match
1251053Honolulu Honey Hams6Vernon Vipers3LSommaire du match
1271074False Creek Flaming Poo4Vernon Vipers5WXXSommaire du match
1291084Vernon Vipers2False Creek Flaming Poo3LSommaire du match
1311106Vernon Vipers0Richmond Fender Benders2LSommaire du match
1321117Providence Bruins1Vernon Vipers5WSommaire du match
1341129Vernon Vipers3Calgary Wranglers4LXXSommaire du match
1351147Wasaga Beach Whistling Weiners3Vernon Vipers2LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1391172Longueuil Unicorns2Vernon Vipers3WSommaire du match
1411190Vernon Vipers5Hershey Bears2WSommaire du match
1431204Vernon Vipers2Tahoe Bell5LSommaire du match
1451214Eagle Mountain Orioles4Vernon Vipers1LSommaire du match
1481237Hartford Wolf Pack4Vernon Vipers3LSommaire du match
1501249Vernon Vipers0Longueuil Unicorns2LSommaire du match
1521261Vernon Vipers3Tahoe Bell4LXXSommaire du match
1551276Grand Rapids Griffins-Vernon Vipers-
1581300Coachella Valley Firebirds-Vernon Vipers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,50237,835
Assistance PCT96.80%97.01%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2906 - 96.87% 65,848$2,568,076$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,690,000$ 1,690,000$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,690,000$ 0$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
131,696$ 8 10,497$ 83,976$




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