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Wheeling Nailers
GP: 17 | W: 10 | L: 6 | OTL: 1 | P: 29
GF: 49 | GA: 49 | PP%: 30.65% | PK%: 72.22%
DG: Terry | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #241 vs Orlando Solar Bears

Centre de jeu
Wheeling Nailers
10-6-1, 29pts
2
1 Bridgeport Islanders
9-5-3, 28pts
Team Stats
W3SéquenceOTL1
6-4-0Fiche domicile4-2-2
4-2-1Fiche domicile5-3-1
6-3-1Derniers 10 matchs4-4-2
2.88Buts par match 3.29
2.88Buts contre par match 3.06
30.65%Pourcentage en avantage numérique29.51%
72.22%Pourcentage en désavantage numérique72.73%
Bridgeport Islanders
9-5-3, 28pts
3
4 Wheeling Nailers
10-6-1, 29pts
Team Stats
OTL1SéquenceW3
4-2-2Fiche domicile6-4-0
5-3-1Fiche domicile4-2-1
4-4-2Derniers 10 matchs6-3-1
3.29Buts par match 2.88
3.06Buts contre par match 2.88
29.51%Pourcentage en avantage numérique30.65%
72.73%Pourcentage en désavantage numérique72.22%
Wheeling Nailers
10-6-1, 29pts
Jour 43
Orlando Solar Bears
9-8-0, 26pts
Statistiques d’équipe
W3SéquenceW2
6-4-0Fiche domicile5-3-0
4-2-1Fiche visiteur4-5-0
6-3-110 derniers matchs6-4-0
2.88Buts par match 3.06
2.88Buts contre par match 3.06
30.65%Pourcentage en avantage numérique24.24%
72.22%Pourcentage en désavantage numérique73.63%
Greenville Swamp Rabbits
6-9-2, 18pts
Jour 46
Wheeling Nailers
10-6-1, 29pts
Statistiques d’équipe
W4SéquenceW3
4-3-0Fiche domicile6-4-0
2-6-2Fiche visiteur4-2-1
4-4-210 derniers matchs6-3-1
2.41Buts par match 2.88
3.12Buts contre par match 2.88
23.53%Pourcentage en avantage numérique30.65%
81.48%Pourcentage en désavantage numérique72.22%
Wheeling Nailers
10-6-1, 29pts
Jour 50
Iowa Heartlanders
8-8-1, 23pts
Statistiques d’équipe
W3SéquenceL1
6-4-0Fiche domicile3-4-1
4-2-1Fiche visiteur5-4-0
6-3-110 derniers matchs5-4-1
2.88Buts par match 3.24
2.88Buts contre par match 3.24
30.65%Pourcentage en avantage numérique23.19%
72.22%Pourcentage en désavantage numérique75.82%
Meneurs d'équipe
Buts
Lane Hutson
7
Passes
Luke Hughes
20
Points
Luke Hughes
24
Plus/Moins
Libor Hajek
4
Victoires
Dustin Wolf
6
Pourcentage d’arrêts
Michael Hutchinson
0.92

Statistiques d’équipe
Buts pour
49
2.88 GFG
Tirs pour
500
29.41 Avg
Pourcentage en avantage numérique
30.6%
19 GF
Début de zone offensive
38.6%
Buts contre
49
2.88 GAA
Tirs contre
587
34.53 Avg
Pourcentage en désavantage numérique
72.2%%
10 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralTerry
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,581
Billets de saison1,230


Informations de la formation

Équipe Pro26
Équipe Mineure19
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
1Matthew Knies (R)0X100.009252787680909076507982677765655540740223900,000$
2Alex Iafallo0X100.007650767568827861676569636580735540670311500,000$
3Fredrik Olofsson0X100.006944836980748161646562716478795540670292500,000$
4Gabriel Dumont0X100.0086436571637477657768646466827055406703411,500,000$
5Joey Anderson0X100.007349826578787661546564726376785540670271800,000$
6Beck Malenstyn0X100.0090477370726876597563627163767155406602722,200,000$
7Denis Malgin0X100.0066147982497878636767666868676255406602822,200,000$
8Joe Snively0X100.0056397878657376615663647067786855406602912,250,000$
9Nikolai Kovalenko0X99.137040798160777062556865626873735540660253500,000$
10Christoffer Ehn0X100.007340837462757560726361666475775540650293500,000$
11Oskar Steen0X100.0071447670657280605663637063746555406502722,250,000$
12Otto Koivula0X100.005452686197637160706261736175695540640264624,000$
13Luke Hughes (R)0X100.0056448899768996805087747076637655407702121,750,000$
14Lane Hutson (R)0X100.0056308699609191725089697371637355407402131,000,000$
15Libor Hajek0X100.005852837387828269507364746374715540710273550,000$
16David Rundblad0X100.0053428274837676655068607160817955406903411,220,000$
17Filip Roos0X100.005844847980748263506462676175785540690264624,000$
18Tyler Myers0X100.0054528161997781595064597654827855406903511,225,000$
Rayé
1Mattias Janmark0X84.035744787772818166707070687080665540690321720,000$
2Brandon Biro0X100.005135848150738155505659686370685540630271500,000$
3Juha Jaaska0X100.005252696870666660696359656176765540630271500,000$
4Bryce Kindopp0X100.005040797666596355505659716268605540610261500,000$
5Mark Friedman0X100.007047628265676665506665716477625540680292555,556$
MOYENNE D’ÉQUIPE99.27654378767276786359676469657471554068
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)098.00958385788683848686838470625540800243700,000$
2Michael Hutchinson0100.007673738477777878767777836658407503521,200,000$
Rayé
1JONAS ARNTZEN0100.00576060807776777777767572615240710271255,000$
MOYENNE D’ÉQUIPE99.3376727381807980808079797563554075
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)D1742024-39515396928375.80%2542424.97210121152000227000%0199001.1300100120
2Lane HutsonWheeling Nailers (HAM)D1771421040173756293212.50%3242525.0558131152000227220%01618000.9900000122
3Matthew KniesWheeling Nailers (HAM)LW1458130652547345228539.62%828520.373366390000222036.36%22195000.9100023210
4Denis MalginWheeling Nailers (HAM)LW175712-54021353791813.51%630918.184155330001131245.42%262104000.7800000110
5Gabriel DumontWheeling Nailers (HAM)C8347-1203614154920.00%214718.47145120000050055.17%17412000.9500000002
6Otto KoivulaWheeling Nailers (HAM)LW172570141021211811311.11%523613.9000000000000138.00%10016000.5900101000
7Alex IafalloWheeling Nailers (HAM)RW17336-3121027201971415.79%420311.9600003000000163.64%1177000.5900011010
8Beck MalenstynWheeling Nailers (HAM)LW17336-613571261651518.75%1232218.960000220000260053.49%8674000.3700001101
9Joey AndersonWheeling Nailers (HAM)RW17325-26028212571212.00%425815.23000020001141027.59%2937000.3900000000
10Juha JaaskaWheeling Nailers (HAM)LW9235-1801319104720.00%417719.76033226000001045.45%20920000.5600000010
11Nikolai KovalenkoWheeling Nailers (HAM)RW9235-3401471531013.33%316017.85123220000000033.33%1244000.6200000100
12David RundbladWheeling Nailers (HAM)D1713435561715866.67%1131618.6401123000002000%0322100.2500001000
13Fredrik OlofssonWheeling Nailers (HAM)LW17224-66020192061110.00%820011.800001160001120046.94%4924000.4000000100
14Christoffer EhnWheeling Nailers (HAM)LW9123-42015913597.69%515817.64101120000050050.00%1201000.3800000000
15Mattias JanmarkWheeling Nailers (HAM)RW8213-100101323678.70%414918.63202419000000036.36%1153000.4000000100
16Oskar SteenWheeling Nailers (HAM)C1730334025171741317.65%61428.3600002000042044.90%4932000.4200000001
17Bryce KindoppWheeling Nailers (HAM)RW8202-455117170811.76%513216.53000216000001025.00%810000.3000100001
18Joe SnivelyWheeling Nailers (HAM)RW171122008814657.14%21347.9200000000000050.00%420000.3000000000
19Libor HajekWheeling Nailers (HAM)D17022412101329246110%2233919.96011230000220000%01610000.1200020000
20Brandon BiroWheeling Nailers (HAM)LW3011-2000104250%16120.5800007000020033.33%302000.3200000000
21Filip RoosWheeling Nailers (HAM)D17011-12291592414570%1225615.070000200004000%0715000.0800021000
22Mark FriedmanWheeling Nailers (HAM)D12011-655162411240%1219316.1200001000012000%038000.1000100000
23Tyler MyersWheeling Nailers (HAM)D5000-555367330%58617.2200000000010000%00300000001000
Statistiques d’équipe totales ou en moyenne3065186137-522141004464565111783099.98%198512216.7419335250421000921210646.21%1041131136100.5300479987
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)126410.9152.9068400333881850000124120
2Michael HutchinsonWheeling Nailers (HAM)64200.9202.733080014176921000512001
3JONAS ARNTZENWheeling Nailers (HAM)10000.9134.29280022315000001000
Statistiques d’équipe totales ou en moyenne1910610.9172.88102100495872921001717121


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$390,957$0$0$No---------------------------Lien
Beck MalenstynWheeling Nailers (HAM)LW271998-02-04CANNo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,200,000$1,720,213$0$0$No2,200,000$--------2,200,000$--------No--------Lien
Brandon BiroWheeling Nailers (HAM)LW271998-03-11CANNo170 Lbs5 ft11NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$390,957$0$0$No---------------------------Lien
Bryce KindoppWheeling Nailers (HAM)RW261999-06-14CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$390,957$0$0$No---------------------------
Christoffer EhnWheeling Nailers (HAM)LW291996-04-05SWENo181 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$390,957$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$953,936$0$0$No---------------------------Lien
Denis MalginWheeling Nailers (HAM)LW281997-01-18CHENo182 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,200,000$1,720,213$0$0$No2,200,000$--------2,200,000$--------No--------
Dustin WolfWheeling Nailers (HAM)G242001-04-16USAYes166 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm700,000$547,340$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$487,915$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$390,957$0$0$No500,000$--------500,000$--------No--------Lien
Gabriel DumontWheeling Nailers (HAM)C341990-10-06CANNo190 Lbs5 ft10NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm1,500,000$1,172,872$0$0$No---------------------------Lien
JONAS ARNTZEN (contrat à 1 volet)Wheeling Nailers (HAM)G271997-11-21NORNo190 Lbs6 ft3NoNoFree AgentNoNo12025-11-20FalseFalseFarm Only255,000$199,388$0$0$No---------------------------Lien
Joe SnivelyWheeling Nailers (HAM)RW291996-01-01USANo176 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,250,000$1,759,309$0$0$No---------------------------Lien
Joey AndersonWheeling Nailers (HAM)RW271998-06-19USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$625,532$0$0$No---------------------------Lien
Juha JaaskaWheeling Nailers (HAM)LW271998-02-09FINNo196 Lbs6 ft0NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$390,957$0$0$No---------------------------Lien
Lane HutsonWheeling Nailers (HAM)D212004-02-14USAYes158 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$781,915$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$430,053$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$1,368,351$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Mark FriedmanWheeling Nailers (HAM)D291995-12-25CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-26FalseFalsePro & Farm555,556$434,398$0$0$No555,556$--------555,556$--------No--------Lien
Matthew KniesWheeling Nailers (HAM)LW222002-10-17USAYes210 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm900,000$703,723$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Mattias JanmarkWheeling Nailers (HAM)RW321992-12-08SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm720,000$562,979$0$0$No---------------------------Lien
Michael Hutchinson (contrat à 1 volet)Wheeling Nailers (HAM)G351990-03-02CANNo201 Lbs6 ft3NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm1,200,000$938,298$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nikolai KovalenkoWheeling Nailers (HAM)RW251999-10-17USANo180 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$390,957$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$1,759,309$0$0$No2,250,000$--------2,250,000$--------No--------Lien
Otto KoivulaWheeling Nailers (HAM)LW261998-09-01FINNo225 Lbs6 ft5NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm624,000$487,915$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$957,846$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.88192 Lbs6 ft11.961,000,906$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesGabriel DumontNikolai Kovalenko34023
2Beck MalenstynDenis MalginJoey Anderson32032
3Christoffer EhnFredrik OlofssonAlex Iafallo24032
4Joe SnivelyOskar SteenOtto Koivula10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lane HutsonLuke Hughes37023
2Libor HajekDavid Rundblad34041
3Tyler MyersFilip Roos29041
4Tyler MyersFilip Roos0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesGabriel DumontNikolai Kovalenko60005
2Fredrik OlofssonDenis MalginJoey Anderson40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesLane Hutson60005
2David RundbladLibor Hajek40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Beck MalenstynMatthew Knies60050
2Denis MalginFredrik Olofsson40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lane HutsonLuke Hughes52050
2Libor HajekTyler Myers48050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Beck Malenstyn50050Luke HughesLane Hutson52050
2Oskar Steen50050Tyler MyersLibor Hajek48050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Beck MalenstynMatthew Knies60014
2Denis MalginChristoffer Ehn40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lane HutsonLuke Hughes60032
2David RundbladLibor Hajek40050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesGabriel DumontNikolai KovalenkoLane HutsonLuke Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesBeck MalenstynJoey AndersonDavid RundbladLibor Hajek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joey Anderson, Beck Malenstyn, Fredrik OlofssonFredrik Olofsson, Denis MalginJoey Anderson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Myers, Libor Hajek, David RundbladDavid RundbladTyler Myers, Filip Roos
Tirs de pénalité
Matthew Knies, Luke Hughes, Lane Hutson, Christoffer Ehn, Denis Malgin
Gardien
#1 : Dustin Wolf, #2 : Michael Hutchinson
Lignes d’attaque personnalisées en prolongation
Matthew Knies, Gabriel Dumont, Nikolai Kovalenko, Joey Anderson, Denis Malgin, Fredrik Olofsson, Beck Malenstyn, Christoffer Ehn, Otto Koivula, 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
1Athens Rock Lobsters11000000431000000000001100000043131.0004711001116202351661771543351048214125.00%4250.00%018140344.91%18640246.27%12223851.26%352190363158307155
2Bakersfield Condors1010000026-41010000026-40000000000000.000246001116202211661771543421012294125.00%10100.00%018140344.91%18640246.27%12223851.26%352190363158307155
3Bridgeport Islanders21001000642100010004311100000021150.83361218001116202731661771543541617597228.57%6266.67%018140344.91%18640246.27%12223851.26%352190363158307155
4Cleveland Monsters11000000211110000002110000000000031.00024600111620224166177154336151216000%10100.00%018140344.91%18640246.27%12223851.26%352190363158307155
5Greensboro Gargoyles10001000431100010004310000000000020.667461000111620229166177154332122244250.00%10100.00%018140344.91%18640246.27%12223851.26%352190363158307155
6Greenville Swamp Rabbits1000010012-1000000000001000010012-110.33311200111620234166177154329121132000%3166.67%018140344.91%18640246.27%12223851.26%352190363158307155
7Iowa Heartlanders1010000023-11010000023-10000000000000.00022400111620230166177154337930347228.57%5180.00%018140344.91%18640246.27%12223851.26%352190363158307155
8Laval Rocket11000000523000000000001100000052331.000591400111620235166177154335110324125.00%000%018140344.91%18640246.27%12223851.26%352190363158307155
9Lehigh Valley Phantoms1010000013-21010000013-20000000000000.0001230011162022816617715433412019200.00%000%018140344.91%18640246.27%12223851.26%352190363158307155
10Orlando Solar Bears11000000752110000007520000000000031.00071320001116202331661771543311528339555.56%4250.00%018140344.91%18640246.27%12223851.26%352190363158307155
11Providence Bruins11000000532110000005320000000000031.000591400111620232166177154346217213133.33%10100.00%018140344.91%18640246.27%12223851.26%352190363158307155
12Rochester Americans1010000012-11010000012-10000000000000.0001230011162021916617715432241130200.00%3166.67%018140344.91%18640246.27%12223851.26%352190363158307155
13Rockford IceHogs1010000016-5000000000001010000016-500.000112001116202211661771543398916300.00%20100.00%018140344.91%18640246.27%12223851.26%352190363158307155
14Savannah Ghost Pirates11000000422000000000001100000042231.000471100111620232166177154335146274375.00%3166.67%018140344.91%18640246.27%12223851.26%352190363158307155
15Trois Rivieres Lions1010000012-1000000000001010000012-100.00011200111620224166177154342131721400.00%10100.00%018140344.91%18640246.27%12223851.26%352190363158307155
16Utica Devils11000000321110000003210000000000031.00035800111620230166177154338142235120.00%10100.00%018140344.91%18640246.27%12223851.26%352190363158307155
Total17860210049490104402000313107420010018180290.56949851340011162025001661771543587196212437621930.65%361072.22%018140344.91%18640246.27%12223851.26%352190363158307155
_Since Last GM Reset17860210049490104402000313107420010018180290.56949851340011162025001661771543587196212437621930.65%361072.22%018140344.91%18640246.27%12223851.26%352190363158307155
_Vs Conference1474021004436883302000272436410010017125260.61944761200011162024341661771543470163179376551832.73%321068.75%018140344.91%18640246.27%12223851.26%352190363158307155
_Vs Division62301000161423020100068-232100000106480.4441627430011162021671661771543200663615320630.00%8275.00%018140344.91%18640246.27%12223851.26%352190363158307155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1729W3498513450058719621243700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
178621004949
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
104420003131
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74201001818
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
621930.65%361072.22%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
16617715431116202
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
18140344.91%18640246.27%12223851.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
352190363158307155


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 Nailers-Orlando Solar Bears-
46255Greenville Swamp Rabbits-Wheeling Nailers-
50273Wheeling Nailers-Iowa Heartlanders-
53287Utica Devils-Wheeling Nailers-
56300Wheeling Nailers-Athens Rock Lobsters-
60319Colorado Eagles-Wheeling Nailers-
62333Wheeling Nailers-Bloomington Bison-
64350Wheeling Nailers-Henderson Silver Knights-
66364Milwaukee Admirals-Wheeling Nailers-
68375Wheeling Nailers-Greensboro Gargoyles-
69379Wheeling Nailers-Laval Rocket-
71393Trois Rivieres Lions-Wheeling Nailers-
73407Wheeling Nailers-Savannah Ghost Pirates-
77434Wheeling Nailers-Macon Whoopee-
79448Grand Rapids Griffins-Wheeling Nailers-
81462Wheeling Nailers-Pee Dee Pride-
84469Wheeling Nailers-Greenville Swamp Rabbits-
86483Orlando Solar Bears-Wheeling Nailers-
88497Wheeling Nailers-Bridgeport Islanders-
92518Wheeling Nailers-Coachella Valley Firebirds-
93525Coachella Valley Firebirds-Wheeling Nailers-
95539Reading Royals-Wheeling Nailers-
98560Wheeling Nailers-Reading Royals-
100574Wheeling Nailers-Abbotsford Canucks-
102588San Diego Gulls-Wheeling Nailers-
105601Wheeling Nailers-Rochester Americans-
107611Wheeling Nailers-Providence Bruins-
111628Wheeling Nailers-Lehigh Valley Phantoms-
113637Athens Rock Lobsters-Wheeling Nailers-
116654Wheeling Nailers-Utica Devils-
119664Iowa Heartlanders-Wheeling Nailers-
121678Henderson Silver Knights-Wheeling Nailers-
123693Bloomington Bison-Wheeling Nailers-
125704Wheeling Nailers-Colorado Eagles-
127719Wheeling Nailers-Cleveland Monsters-
129733Rockford IceHogs-Wheeling Nailers-
131748Wheeling Nailers-Bakersfield Condors-
134759Greensboro Gargoyles-Wheeling Nailers-
136771Laval Rocket-Wheeling Nailers-
138786Wheeling Nailers-Trois Rivieres Lions-
140799Savannah Ghost Pirates-Wheeling Nailers-
144823Wheeling Nailers-Milwaukee Admirals-
146829Macon Whoopee-Wheeling Nailers-
148842Wheeling Nailers-Grand Rapids Griffins-
152866Pee Dee Pride-Wheeling Nailers-
154882Abbotsford Canucks-Wheeling Nailers-
156896Wheeling Nailers-San Diego Gulls-
159910Greenville Swamp Rabbits-Wheeling Nailers-
161923Wheeling Nailers-Orlando Solar Bears-
163938Bridgeport Islanders-Wheeling Nailers-
165952Wheeling Nailers-Iowa Heartlanders-
167966Wheeling Nailers-Utica Devils-
169978Athens Rock Lobsters-Wheeling Nailers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172993Wheeling Nailers-Greensboro Gargoyles-
1741002Laval Rocket-Wheeling Nailers-
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
Assistance16,3189,488
Assistance PCT81.59%94.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2581 - 86.02% 61,023$610,226$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
493,594$ 2,334,356$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 493,594$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,830,678$ 147 12,417$ 1,825,299$




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