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Wheeling Nailers
GP: 72 | W: 32 | L: 33 | OTL: 7 | P: 100
GF: 212 | GA: 232 | PP%: 25.64% | PK%: 72.40%
DG: Terry | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #1018 vs Trois Rivieres Lions

Centre de jeu
Wheeling Nailers
32-33-7, 100pts
4
2 Greensboro Gargoyles
36-29-7, 106pts
Team Stats
L1SéquenceW1
18-15-2Fiche domicile20-14-2
14-18-5Fiche domicile16-15-5
3-6-1Derniers 10 matchs4-5-1
2.94Buts par match 2.94
3.22Buts contre par match 3.22
25.64%Pourcentage en avantage numérique18.15%
72.40%Pourcentage en désavantage numérique74.07%
Laval Rocket
33-32-7, 98pts
6
2 Wheeling Nailers
32-33-7, 100pts
Team Stats
W1SéquenceL1
15-17-4Fiche domicile18-15-2
18-15-3Fiche domicile14-18-5
6-3-1Derniers 10 matchs3-6-1
3.35Buts par match 2.94
3.76Buts contre par match 3.22
24.28%Pourcentage en avantage numérique25.64%
73.95%Pourcentage en désavantage numérique72.40%
Trois Rivieres Lions
33-33-6, 96pts
Jour 176
Wheeling Nailers
32-33-7, 100pts
Statistiques d’équipe
L1SéquenceL1
20-14-2Fiche domicile18-15-2
13-19-4Fiche visiteur14-18-5
4-6-010 derniers matchs3-6-1
3.26Buts par match 2.94
3.61Buts contre par match 2.94
24.25%Pourcentage en avantage numérique25.64%
75.80%Pourcentage en désavantage numérique72.40%
Savannah Ghost Pirates
35-28-9, 105pts
Jour 178
Wheeling Nailers
32-33-7, 100pts
Statistiques d’équipe
OTL1SéquenceL1
19-12-6Fiche domicile18-15-2
16-16-3Fiche visiteur14-18-5
6-1-310 derniers matchs3-6-1
3.32Buts par match 2.94
3.22Buts contre par match 2.94
20.76%Pourcentage en avantage numérique25.64%
75.48%Pourcentage en désavantage numérique72.40%
Wheeling Nailers
32-33-7, 100pts
Jour 180
Rochester Americans
43-21-8, 127pts
Statistiques d’équipe
L1SéquenceSOL1
18-15-2Fiche domicile22-10-4
14-18-5Fiche visiteur21-11-4
3-6-110 derniers matchs3-5-2
2.94Buts par match 3.56
3.22Buts contre par match 3.56
25.64%Pourcentage en avantage numérique26.09%
72.40%Pourcentage en désavantage numérique75.53%
Meneurs d'équipe
Buts
Luke Hughes
24
Passes
Luke Hughes
52
Points
Luke Hughes
76
Plus/Moins
Libor Hajek
4
Victoires
Dustin Wolf
21
Pourcentage d’arrêts
Dustin Wolf
0.909

Statistiques d’équipe
Buts pour
212
2.94 GFG
Tirs pour
2419
33.60 Avg
Pourcentage en avantage numérique
25.6%
70 GF
Début de zone offensive
40.3%
Buts contre
232
3.22 GAA
Tirs contre
2394
33.25 Avg
Pourcentage en désavantage numérique
72.4%%
53 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralTerry
DivisionNortheast Division
ConférenceEastern Conference
CapitaineLane Hutson
Assistant #1
Assistant #2Luke Hughes


Informations de l’aréna

Capacité3,000
Assistance2,521
Billets de saison1,230


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 250
Espoirs61


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
1Alex Iafallo0X100.007650767568827861676569636580735540670311500,000$
2Fredrik Olofsson0X97.006944836980748161646562716478795540670292500,000$
3Gabriel Dumont0X97.0086436571637477657768646466827055406703411,500,000$
4Joey Anderson0X100.007349826578787661546564726376785540670271800,000$
5Beck Malenstyn0X100.0090477370726876597563627163767155406602722,200,000$
6Denis Malgin0X99.0066147982497878636767666868676255406602822,200,000$
7Joe Snively0X100.0056397878657376615663647067786855406602912,250,000$
8Nikolai Kovalenko0X100.007040798160777062556865626873735540660253500,000$
9Christoffer Ehn0X100.007340837462757560726361666475775540650293500,000$
10Oskar Steen0X99.0071447670657280605663637063746555406502722,250,000$
11Otto Koivula0X100.005452686197637160706261736175695540640264624,000$
12Luke Hughes (R) (A)0X97.0056448899768996805087747076637655407702121,750,000$
13Lane Hutson (R) (C)0X98.0056308699609191725089697371637355407402131,000,000$
14Libor Hajek0X100.005852837387828269507364746374715540710273550,000$
15David Rundblad0X100.0053428274837676655068607160817955406903411,220,000$
16Filip Roos0X100.005844847980748263506462676175785540690264624,000$
17Tyler Myers0X100.0054528161997781595064597654827855406903511,225,000$
Rayé
1Mattias Janmark0X94.005744787772818166707070687080665540690321720,000$
2Brandon Biro0X100.005135848150738155505659686370685540630271500,000$
3Juha Jaaska0X100.005252696870666660696359656176765540630271500,000$
4Bryce Kindopp0X100.005040797666596355505659716268605540610261500,000$
5Mark Friedman0X100.007047628265676665506665716477625540680292555,556$
MOYENNE D’ÉQUIPE99.14644378767175776359676469647571554067
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
1Dustin Wolf (R)0100.00958385788683848686838470625540800243700,000$
2Michael Hutchinson095.007673738477777878767777836658407503521,200,000$
Rayé
1JONAS ARNTZEN0100.00576060807776777777767572615240710271255,000$
MOYENNE D’ÉQUIPE98.3376727381807980808079797563554075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Luke HughesWheeling Nailers (HAM)D72245276-283220461523321451437.23%104180325.05162743772610119163100%08154010.8411202241
2Matthew KniesHamilton MustangsLW66314374-161416521711430211222010.26%32140221.251224364322501141386034.48%1168138011.0611157934
3Lane HutsonWheeling Nailers (HAM)D72174966-28200531412791091176.09%117180725.10122739592620008157320%06370000.7311000243
4Gabriel DumontWheeling Nailers (HAM)C63143751-10782020812514654829.59%29121219.2451520272100000463153.34%15431124000.8400310312
5Denis MalginWheeling Nailers (HAM)LW72212142-13180115143129417916.28%25127717.747411161622023564245.03%11973123000.6600000411
6Mattias JanmarkWheeling Nailers (HAM)RW59171835-870307174151598311.26%24111418.908816231910001190048.57%1054017000.6300213232
7Nikolai KovalenkoWheeling Nailers (HAM)RW64141933-213010100631353410310.37%21107316.7845914153000001031.82%883221000.6100110120
8Fredrik OlofssonWheeling Nailers (HAM)LW72121022-7255108116114395710.53%20105714.6912381550001552040.71%420524000.4200010211
9Beck MalenstynWheeling Nailers (HAM)LW52111021-757151539174314614.86%3689017.130000241121870052.44%2251313000.4700003111
10Libor HajekWheeling Nailers (HAM)D7231720492604912812147362.48%80145620.23156101510005111100%05751000.2700156020
11David RundbladWheeling Nailers (HAM)D7241519-1201039897926295.06%59132618.43235814000009110%02060100.2900002001
12Alex IafalloWheeling Nailers (HAM)RW7210818-1078301188012240908.20%1486111.970000130003101155.00%402913000.4200015112
13Christoffer EhnWheeling Nailers (HAM)LW648917-580854767284711.94%1567010.471011230001511046.35%192811000.5100000003
14Joey AndersonWheeling Nailers (HAM)RW727916-75240111848121468.64%18102114.191013230003661042.28%1231216000.3100017000
15Joe SnivelyWheeling Nailers (HAM)RW726814-495354455223810.91%115778.0200001000001023.53%17156000.4800010001
16Filip RoosWheeling Nailers (HAM)D7201212-15463050824820340%48106414.7900009000018000%02832000.2300123000
17Otto KoivulaWheeling Nailers (HAM)LW5439121784059533912297.69%1763211.71000020001310139.36%188215000.3800116000
18Oskar SteenWheeling Nailers (HAM)C627411-42715956157164112.28%105939.570000200000153046.67%165813000.3700111111
19Tyler MyersWheeling Nailers (HAM)D60010101382028895725190%77100216.700111130111108000%0728000.2000004000
20Juha JaaskaWheeling Nailers (HAM)LW9235-1801319104720.00%417719.76033226000001045.45%20920000.5600000010
21Bryce KindoppWheeling Nailers (HAM)RW8202-455117170811.76%513216.53000216000001025.00%810000.3000100001
22Brandon BiroWheeling Nailers (HAM)LW3011-2000104250%16120.5800007000020033.33%302000.3200000000
23Mark FriedmanWheeling Nailers (HAM)D12011-655162411240%1219316.1200001000012000%038000.1000100000
Statistiques d’équipe totales ou en moyenne1296213365578-19193742517801836243088913638.77%7792141216.5270124194294209834741116231847.12%4639549539120.5433152149282524
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
1Dustin WolfWheeling Nailers (HAM)45211750.9092.992568211281402641310.66734517332
2Michael HutchinsonWheeling Nailers (HAM)27101410.9033.291459008082842120002345102
3JONAS ARNTZENWheeling Nailers (HAM)61210.8644.373020022162850100410000
Statistiques d’équipe totales ou en moyenne78323370.9043.19433021230239211475237272434


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex IafalloWheeling Nailers (HAM)RW311993-12-21USANo201 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$37,234$0$0$No---------------------------Lien
Beck MalenstynWheeling Nailers (HAM)LW271998-02-04CANNo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,200,000$163,830$0$0$No2,200,000$--------2,200,000$--------No--------Lien
Brandon BiroWheeling Nailers (HAM)LW271998-03-11CANNo170 Lbs5 ft11NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$37,234$0$0$No---------------------------Lien
Bryce KindoppWheeling Nailers (HAM)RW261999-06-14CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$37,234$0$0$No---------------------------
Christoffer EhnWheeling Nailers (HAM)LW291996-04-05SWENo181 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$37,234$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
David RundbladWheeling Nailers (HAM)D341990-10-08SWENo187 Lbs6 ft2NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm1,220,000$90,851$0$0$No---------------------------Lien
Denis MalginWheeling Nailers (HAM)LW281997-01-18CHENo182 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,200,000$163,830$0$0$No2,200,000$--------2,200,000$--------No--------
Dustin WolfWheeling Nailers (HAM)G242001-04-16USAYes166 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm700,000$52,128$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Filip RoosWheeling Nailers (HAM)D261999-01-05SWENo190 Lbs6 ft4NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm624,000$46,468$0$0$No624,000$624,000$624,000$------624,000$624,000$624,000$------NoNoNo------Lien
Fredrik OlofssonWheeling Nailers (HAM)LW291996-05-27SWENo196 Lbs6 ft2NoNoTrade2026-02-20NoNo22025-09-30FalseFalsePro & Farm500,000$37,234$0$0$No500,000$--------500,000$--------No--------Lien
Gabriel DumontWheeling Nailers (HAM)C341990-10-06CANNo190 Lbs5 ft10NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm1,500,000$111,702$0$0$No---------------------------Lien
JONAS ARNTZEN (contrat à 1 volet)Wheeling Nailers (HAM)G271997-11-21NORNo190 Lbs6 ft3NoNoFree AgentNoNo12025-11-20FalseFalseFarm Only255,000$18,989$0$0$No---------------------------Lien
Joe SnivelyWheeling Nailers (HAM)RW291996-01-01USANo176 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,250,000$167,553$0$0$No---------------------------Lien
Joey AndersonWheeling Nailers (HAM)RW271998-06-19USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$59,574$0$0$No---------------------------Lien
Juha JaaskaWheeling Nailers (HAM)LW271998-02-09FINNo196 Lbs6 ft0NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$37,234$0$0$No---------------------------Lien
Lane HutsonWheeling Nailers (HAM)D212004-02-14USAYes158 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$74,468$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Libor HajekWheeling Nailers (HAM)D271998-02-04CZENo209 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm550,000$40,957$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------
Luke HughesWheeling Nailers (HAM)D212003-09-09USAYes183 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,750,000$130,319$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Mark FriedmanWheeling Nailers (HAM)D291995-12-25CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-26FalseFalsePro & Farm555,556$41,371$0$0$No555,556$--------555,556$--------No--------Lien
Mattias JanmarkWheeling Nailers (HAM)RW321992-12-08SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm720,000$53,617$0$0$No---------------------------Lien
Michael Hutchinson (contrat à 1 volet)Wheeling Nailers (HAM)G351990-03-02CANNo201 Lbs6 ft3NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm1,200,000$89,362$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nikolai KovalenkoWheeling Nailers (HAM)RW251999-10-17USANo180 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$37,234$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Oskar SteenWheeling Nailers (HAM)C271998-03-09SWENo194 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,250,000$167,553$0$0$No2,250,000$--------2,250,000$--------No--------Lien
Otto KoivulaWheeling Nailers (HAM)LW261998-09-01FINNo225 Lbs6 ft5NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm624,000$46,468$0$0$No624,000$624,000$624,000$------624,000$624,000$624,000$------NoNoNo------Lien
Tyler Myers (contrat à 1 volet)Wheeling Nailers (HAM)D351990-02-01USANo229 Lbs6 ft8NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm1,225,000$91,223$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.12191 Lbs6 ft11.921,004,942$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fredrik OlofssonGabriel Dumont40122
2Denis MalginOskar SteenAlex Iafallo30122
3Beck MalenstynNikolai KovalenkoJoey Anderson20122
4Christoffer EhnNikolai Kovalenko10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesLane Hutson40122
2Libor HajekTyler Myers30122
3David RundbladFilip Roos20122
4Luke HughesLane Hutson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fredrik OlofssonGabriel Dumont60122
2Denis MalginOskar SteenAlex Iafallo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesLane Hutson60122
2Libor HajekTyler Myers40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel Dumont60122
2Fredrik OlofssonAlex Iafallo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesLane Hutson60122
2Libor HajekTyler Myers40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Luke HughesLane Hutson60122
2Gabriel Dumont40122Libor HajekTyler Myers40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel Dumont60122
2Fredrik OlofssonAlex Iafallo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesLane Hutson60122
2Libor HajekTyler Myers40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik OlofssonGabriel DumontLuke HughesLane Hutson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik OlofssonGabriel DumontLuke HughesLane Hutson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Snively, Otto Koivula, Joey AndersonJoe Snively, Otto KoivulaJoey Anderson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Rundblad, Filip Roos, Libor HajekDavid RundbladFilip Roos, Libor Hajek
Tirs de pénalité
, Gabriel Dumont, Fredrik Olofsson, Alex Iafallo, Joey Anderson
Gardien
#1 : Michael Hutchinson, #2 : Dustin Wolf
Lignes d’attaque personnalisées en prolongation
, Gabriel Dumont, Fredrik Olofsson, Alex Iafallo, Joey Anderson, Nikolai Kovalenko, Denis Malgin, Beck Malenstyn, Joe Snively, Oskar Steen
Lignes de défense personnalisées en prolongation
Luke Hughes, Lane Hutson, Libor Hajek, Tyler Myers, David Rundblad


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
1Abbotsford Canucks2110000058-31010000037-41100000021130.500510150060777246878484478112682338488225.00%9277.78%0860186546.11%822169148.61%512107547.63%155487214846621296655
2Athens Rock Lobsters41200100811-32010010035-22110000056-140.33381422006077724138784844781121394212710211327.27%11372.73%0860186546.11%822169148.61%512107547.63%155487214846621296655
3Bakersfield Condors20200000410-61010000026-41010000024-200.00046100060777244978484478112712035546116.67%6183.33%0860186546.11%822169148.61%512107547.63%155487214846621296655
4Bloomington Bison22000000853110000004311100000042261.000815230060777247878484478112591412465120.00%6183.33%1860186546.11%822169148.61%512107547.63%155487214846621296655
5Bridgeport Islanders4210100014952100100010462110000045-180.66714253900607772413278484478112107285710714535.71%16475.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
6Cleveland Monsters2110000056-1110000002111010000035-230.50059140060777246678484478112762923435240.00%4175.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
7Coachella Valley Firebirds2110000056-1110000002111010000035-230.500591400607772459784844781126421244710220.00%20100.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
8Colorado Eagles211000009631010000045-11100000051430.500915240060777246278484478112622032488450.00%6266.67%0860186546.11%822169148.61%512107547.63%155487214846621296655
9Grand Rapids Griffins210001006601000010034-11100000032140.6676121800607772472784844781125715144911327.27%2150.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
10Greensboro Gargoyles4110101014122200010107522110000077070.5831421350060777241387848447811213947439113538.46%90100.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
11Greenville Swamp Rabbits4210010012111211000006602100010065170.5831221330060777241467848447811212943231018337.50%9366.67%0860186546.11%822169148.61%512107547.63%155487214846621296655
12Henderson Silver Knights2110000078-11010000046-21100000032130.50079161060777246978484478112552624574125.00%7442.86%0860186546.11%822169148.61%512107547.63%155487214846621296655
13Iowa Heartlanders4220000010100211000006602110000044060.50010162600607772413778484478112136497012421419.05%15473.33%0860186546.11%822169148.61%512107547.63%155487214846621296655
14Laval Rocket43100000201462110000089-122000000125790.7502039590060777241457848447811214335319118844.44%8450.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
15Lehigh Valley Phantoms2010010058-31010000013-21000010045-110.167571200607772464784844781127320834400.00%40100.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
16Macon Whoopee21100000440110000002111010000023-130.50047110060777248478484478112602427419111.11%6183.33%0860186546.11%822169148.61%512107547.63%155487214846621296655
17Milwaukee Admirals20200000510-51010000025-31010000035-200.000510150060777247478484478112812531376350.00%8362.50%0860186546.11%822169148.61%512107547.63%155487214846621296655
18Orlando Solar Bears422000001519-42200000096320200000613-760.50015274200607772413378484478112120428111323834.78%13653.85%0860186546.11%822169148.61%512107547.63%155487214846621296655
19Pee Dee Pride2010010047-31010000013-21000010034-110.1674812006077724737848447811268241047700.00%5260.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
20Providence Bruins21000100761110000005321000010023-140.667713200060777246778484478112773215465120.00%5180.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
21Reading Royals21100000440110000003211010000012-130.50046100060777245978484478112561722561300.00%6183.33%1860186546.11%822169148.61%512107547.63%155487214846621296655
22Rochester Americans2020000025-31010000012-11010000013-200.000246006077724497848447811259171154500.00%3166.67%0860186546.11%822169148.61%512107547.63%155487214846621296655
23Rockford IceHogs2110000078-1110000006241010000016-530.5007111800607772463784844781126517233611436.36%4250.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
24San Diego Gulls2020000048-41010000035-21010000013-200.00046101060777247378484478112712342549111.11%6266.67%0860186546.11%822169148.61%512107547.63%155487214846621296655
25Savannah Ghost Pirates3110010079-21010000014-32100010065140.44471017006077724100784844781121123847798337.50%11281.82%0860186546.11%822169148.61%512107547.63%155487214846621296655
26Trois Rivieres Lions321000001064110000003032110000076160.667101525016077724967848447811210042507314321.43%5180.00%0860186546.11%822169148.61%512107547.63%155487214846621296655
27Utica Devils413000001116-52110000067-12020000059-430.2501119300060777241257848447811214744179317211.76%6183.33%1860186546.11%822169148.61%512107547.63%155487214846621296655
Total72293302710212232-2035151502210107111-437141800500105121-161000.463212364576216077724241978484478112239477793717712737025.64%1925372.40%3860186546.11%822169148.61%512107547.63%155487214846621296655
_Since Last GM Reset72293302710212232-2035151502210107111-437141800500105121-161000.463212364576216077724241978484478112239477793717712737025.64%1925372.40%3860186546.11%822169148.61%512107547.63%155487214846621296655
_Vs Conference44181802510135136-12198021106660623910004006976-7650.492135231366016077724147078484478112148147958011081614527.95%1153073.91%1860186546.11%822169148.61%512107547.63%155487214846621296655
_Vs Division18770121058544824010102123-210530020037316270.500589615401607772459278484478112626199190422621930.65%40880.00%0860186546.11%822169148.61%512107547.63%155487214846621296655

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72100L121236457624192394777937177121
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7229332710212232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3515152210107111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3714180500105121
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2737025.64%1925372.40%3
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
784844781126077724
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
860186546.11%822169148.61%512107547.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155487214846621296655


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
17Providence Bruins3Wheeling Nailers5WSommaire du match
317Rochester Americans2Wheeling Nailers1LSommaire du match
529Wheeling Nailers4Savannah Ghost Pirates2WSommaire du match
744Wheeling Nailers1Trois Rivieres Lions2LSommaire du match
957Wheeling Nailers5Laval Rocket2WSommaire du match
1173Greensboro Gargoyles3Wheeling Nailers4WXSommaire du match
1386Lehigh Valley Phantoms3Wheeling Nailers1LSommaire du match
15105Bakersfield Condors6Wheeling Nailers2LSommaire du match
18125Wheeling Nailers1Rockford IceHogs6LSommaire du match
20139Cleveland Monsters1Wheeling Nailers2WSommaire du match
24152Wheeling Nailers4Athens Rock Lobsters3WSommaire du match
26161Utica Devils2Wheeling Nailers3WSommaire du match
30180Iowa Heartlanders3Wheeling Nailers2LSommaire du match
33195Wheeling Nailers1Greenville Swamp Rabbits2LXSommaire du match
35204Orlando Solar Bears5Wheeling Nailers7WSommaire du match
37214Wheeling Nailers2Bridgeport Islanders1WSommaire du match
40228Bridgeport Islanders3Wheeling Nailers4WXSommaire du match
43241Wheeling Nailers3Orlando Solar Bears5LSommaire du match
46255Greenville Swamp Rabbits3Wheeling Nailers2LSommaire du match
50273Wheeling Nailers3Iowa Heartlanders2WSommaire du match
53287Utica Devils5Wheeling Nailers3LSommaire du match
56300Wheeling Nailers1Athens Rock Lobsters3LSommaire du match
60319Colorado Eagles5Wheeling Nailers4LSommaire du match
62333Wheeling Nailers4Bloomington Bison2WSommaire du match
64350Wheeling Nailers3Henderson Silver Knights2WSommaire du match
66364Milwaukee Admirals5Wheeling Nailers2LSommaire du match
68375Wheeling Nailers3Greensboro Gargoyles5LSommaire du match
69379Wheeling Nailers7Laval Rocket3WSommaire du match
71393Trois Rivieres Lions0Wheeling Nailers3WSommaire du match
73407Wheeling Nailers2Savannah Ghost Pirates3LXSommaire du match
77434Wheeling Nailers2Macon Whoopee3LSommaire du match
79448Grand Rapids Griffins4Wheeling Nailers3LXSommaire du match
81462Wheeling Nailers3Pee Dee Pride4LXSommaire du match
84469Wheeling Nailers5Greenville Swamp Rabbits3WSommaire du match
86483Orlando Solar Bears1Wheeling Nailers2WSommaire du match
88497Wheeling Nailers2Bridgeport Islanders4LSommaire du match
92518Wheeling Nailers3Coachella Valley Firebirds5LSommaire du match
93525Coachella Valley Firebirds1Wheeling Nailers2WSommaire du match
95539Reading Royals2Wheeling Nailers3WSommaire du match
98560Wheeling Nailers1Reading Royals2LSommaire du match
100574Wheeling Nailers2Abbotsford Canucks1WSommaire du match
102588San Diego Gulls5Wheeling Nailers3LSommaire du match
105601Wheeling Nailers1Rochester Americans3LSommaire du match
107611Wheeling Nailers2Providence Bruins3LXSommaire du match
111628Wheeling Nailers4Lehigh Valley Phantoms5LXSommaire du match
113637Athens Rock Lobsters3Wheeling Nailers2LSommaire du match
116654Wheeling Nailers4Utica Devils6LSommaire du match
119664Iowa Heartlanders3Wheeling Nailers4WSommaire du match
121678Henderson Silver Knights6Wheeling Nailers4LSommaire du match
123693Bloomington Bison3Wheeling Nailers4WSommaire du match
125704Wheeling Nailers5Colorado Eagles1WSommaire du match
127719Wheeling Nailers3Cleveland Monsters5LSommaire du match
129733Rockford IceHogs2Wheeling Nailers6WSommaire du match
131748Wheeling Nailers2Bakersfield Condors4LSommaire du match
134759Greensboro Gargoyles2Wheeling Nailers3WXXSommaire du match
136771Laval Rocket3Wheeling Nailers6WSommaire du match
138786Wheeling Nailers6Trois Rivieres Lions4WSommaire du match
140799Savannah Ghost Pirates4Wheeling Nailers1LSommaire du match
144823Wheeling Nailers3Milwaukee Admirals5LSommaire du match
146829Macon Whoopee1Wheeling Nailers2WSommaire du match
148842Wheeling Nailers3Grand Rapids Griffins2WSommaire du match
152866Pee Dee Pride3Wheeling Nailers1LSommaire du match
154882Abbotsford Canucks7Wheeling Nailers3LSommaire du match
156896Wheeling Nailers1San Diego Gulls3LSommaire du match
159910Greenville Swamp Rabbits3Wheeling Nailers4WSommaire du match
161923Wheeling Nailers3Orlando Solar Bears8LSommaire du match
163938Bridgeport Islanders1Wheeling Nailers6WSommaire du match
165952Wheeling Nailers1Iowa Heartlanders2LSommaire du match
167966Wheeling Nailers1Utica Devils3LSommaire du match
169978Athens Rock Lobsters2Wheeling Nailers1LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172993Wheeling Nailers4Greensboro Gargoyles2WSommaire du match
1741002Laval Rocket6Wheeling Nailers2LSommaire du match
1761018Trois Rivieres Lions-Wheeling Nailers-
1781030Savannah Ghost Pirates-Wheeling Nailers-
1801039Wheeling Nailers-Rochester Americans-
1811053Rochester Americans-Wheeling Nailers-
1831071Wheeling Nailers-Providence Bruins-
1841085Providence Bruins-Wheeling Nailers-
1861094Lehigh Valley Phantoms-Wheeling Nailers-
1871111Wheeling Nailers-Lehigh Valley Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance55,35632,871
Assistance PCT79.08%93.92%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 2521 - 84.03% 59,360$2,077,617$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,113,531$ 2,244,356$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,113,531$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
296,802$ 14 11,938$ 167,132$




Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers 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

Wheeling Nailers 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