Please rotate your device to landscape mode for a better experience.
Connexion

Wheeling Nailers
GP: 11 | W: 6 | L: 5 | OTL: 0 | P: 17
GF: 30 | GA: 33 | PP%: 26.47% | PK%: 76.47%
DG: Terry | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #161 vs Utica Devils

Centre de jeu
Cleveland Monsters
5-3-3, 16pts
1
2 Wheeling Nailers
6-5-0, 17pts
Team Stats
SOL1SéquenceW2
2-1-1Fiche domicile3-3-0
3-2-2Fiche domicile3-2-0
5-2-3Derniers 10 matchs5-5-0
3.45Buts par match 2.73
3.09Buts contre par match 3.00
26.19%Pourcentage en avantage numérique26.47%
81.08%Pourcentage en désavantage numérique76.47%
Wheeling Nailers
6-5-0, 17pts
4
3 Athens Rock Lobsters
7-3-1, 21pts
Team Stats
W2SéquenceL2
3-3-0Fiche domicile4-2-0
3-2-0Fiche domicile3-1-1
5-5-0Derniers 10 matchs6-3-1
2.73Buts par match 2.91
3.00Buts contre par match 2.55
26.47%Pourcentage en avantage numérique24.24%
76.47%Pourcentage en désavantage numérique72.22%
Utica Devils
5-5-1, 14pts
Jour 26
Wheeling Nailers
6-5-0, 17pts
Statistiques d’équipe
L1SéquenceW2
3-3-1Fiche domicile3-3-0
2-2-0Fiche visiteur3-2-0
5-4-110 derniers matchs5-5-0
3.27Buts par match 2.73
3.27Buts contre par match 2.73
19.51%Pourcentage en avantage numérique26.47%
71.88%Pourcentage en désavantage numérique76.47%
Iowa Heartlanders
4-6-1, 11pts
Jour 30
Wheeling Nailers
6-5-0, 17pts
Statistiques d’équipe
W1SéquenceW2
1-3-1Fiche domicile3-3-0
3-3-0Fiche visiteur3-2-0
4-5-110 derniers matchs5-5-0
3.00Buts par match 2.73
4.09Buts contre par match 2.73
21.28%Pourcentage en avantage numérique26.47%
78.69%Pourcentage en désavantage numérique76.47%
Wheeling Nailers
6-5-0, 17pts
Jour 33
Greenville Swamp Rabbits
2-8-1, 7pts
Statistiques d’équipe
W2SéquenceL2
3-3-0Fiche domicile2-3-0
3-2-0Fiche visiteur0-5-1
5-5-010 derniers matchs2-7-1
2.73Buts par match 2.18
3.00Buts contre par match 2.18
26.47%Pourcentage en avantage numérique29.73%
76.47%Pourcentage en désavantage numérique77.27%
Meneurs d'équipe
Buts
Lane Hutson
5
Passes
Luke Hughes
14
Points
Luke Hughes
16
Plus/Moins
Oskar Steen
3
Victoires
Dustin Wolf
4
Pourcentage d’arrêts
Dustin Wolf
0.922

Statistiques d’équipe
Buts pour
30
2.73 GFG
Tirs pour
300
27.27 Avg
Pourcentage en avantage numérique
26.5%
9 GF
Début de zone offensive
36.8%
Buts contre
33
3.00 GAA
Tirs contre
398
36.18 Avg
Pourcentage en désavantage numérique
76.5%%
4 GA
Début de la zone défensive
38.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,637
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
1Matthew Knies (R)0X100.009252787680909076507982677765655540740223900,000$
2Alex Iafallo0X100.007650767568827861676569636580735540670311500,000$
3Fredrik Olofsson0X100.006944836980748161646562716478795540670292500,000$
4Joey Anderson0X100.007349826578787661546564726376785540670271800,000$
5Beck Malenstyn0X98.0090477370726876597563627163767155406602722,200,000$
6Denis Malgin0X99.0066147982497878636767666868676255406602822,200,000$
7Joe Snively0X100.0056397878657376615663647067786855406602912,250,000$
8Christoffer Ehn0X99.007340837462757560726361666475775540650293500,000$
9Oskar Steen0X100.0071447670657280605663637063746555406502722,250,000$
10Otto Koivula0X100.005452686197637160706261736175695540640264624,000$
11Juha Jaaska0X99.005252696870666660696359656176765540630271500,000$
12Bryce Kindopp0X99.005040797666596355505659716268605540610261500,000$
13Luke Hughes (R)0X99.0056448899768996805087747076637655407702121,750,000$
14Lane Hutson (R)0X99.0056308699609191725089697371637355407402131,000,000$
15Libor Hajek0X99.005852837387828269507364746374715540710273550,000$
16David Rundblad0X100.0053428274837676655068607160817955406903411,220,000$
17Filip Roos0X100.005844847980748263506462676175785540690264624,000$
18Mark Friedman0X100.007047628265676665506665716477625540680292555,556$
Rayé
1Mattias Janmark0X67.035744787772818166707070687080665540690321720,000$
2Gabriel Dumont0X96.1086436571637477657768646466827055406703411,500,000$
3Nikolai Kovalenko0X86.137040798160777062556865626873735540660253500,000$
4Brandon Biro0X100.005135848150738155505659686370685540630271500,000$
MOYENNE D’ÉQUIPE97.28654378767076786459676569657471554067
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)097.00958385788683848686838470625540800243700,000$
2Michael Hutchinson0100.007673738477777878767777836658407503521,200,000$
Rayé
1JONAS ARNTZEN0100.00576060807776777777767572615240710271255,000$
MOYENNE D’ÉQUIPE99.0076727381807980808079797563554075
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)D1121416-1557264118194.88%1827424.94055430000215000%0118001.1700100110
2Lane HutsonWheeling Nailers (HAM)D115813000132033181815.15%1927725.23336530000215110%01013000.9400000112
3Denis MalginWheeling Nailers (HAM)LW11257-620122121699.52%620418.55213321000180147.95%17161000.6900000010
4Matthew KniesWheeling Nailers (HAM)LW8336-13810261828202710.71%516020.10112120000092025.00%12102000.7500011110
5Otto KoivulaWheeling Nailers (HAM)LW112460121013161711211.76%518817.1400000000000137.37%9915000.6400101000
6Alex IafalloWheeling Nailers (HAM)RW11224-255198134815.38%113212.0900002000000060.00%1026000.6000010000
7Nikolai KovalenkoWheeling Nailers (HAM)RW7224-30096102520.00%212017.17112113000000042.86%733000.6700000100
8Beck MalenstynWheeling Nailers (HAM)LW11213-7754718931022.22%921719.780000210000130050.00%4444000.2800001100
9Fredrik OlofssonWheeling Nailers (HAM)LW11213-4201011124716.67%511110.120001300007000%223000.5400000100
10Joey AndersonWheeling Nailers (HAM)RW11123-340171517585.88%316414.9700000000170031.82%2224000.3600000000
11Juha JaaskaWheeling Nailers (HAM)LW8123-280131884612.50%415819.77022121000001044.02%18420000.3800000010
12Mattias JanmarkWheeling Nailers (HAM)RW8213-100101323678.70%414918.63202419000000036.36%1153000.4000000100
13Bryce KindoppWheeling Nailers (HAM)RW4202-3552370428.57%16817.180002800000100%500000.5800100001
14David RundbladWheeling Nailers (HAM)D11022-455496520%920318.4701121800000000%0320000.2000001000
15Joe SnivelyWheeling Nailers (HAM)RW111123004211329.09%2857.810000000000000%220000.4700000000
16Libor HajekWheeling Nailers (HAM)D11022-32092113460%1322020.01011219000010000%0116000.1800000000
17Oskar SteenWheeling Nailers (HAM)C112023201613112718.18%4918.3000001000031048.48%3311000.4400000000
18Brandon BiroWheeling Nailers (HAM)LW3011-2000104250%16120.5800007000020033.33%302000.3200000000
19Filip RoosWheeling Nailers (HAM)D11011-5221041810450%816515.050000200001000%038000.1200011000
20Gabriel DumontWheeling Nailers (HAM)C310100010740125.00%04916.4800004000020040.91%4410000.4000000001
21Mark FriedmanWheeling Nailers (HAM)D11011-455142111240%1017716.1800001000011000%038000.1100100000
22Christoffer EhnWheeling Nailers (HAM)LW3000-220622230%35819.4900006000010075.00%40000000000000
Statistiques d’équipe totales ou en moyenne198325385-471266026529631111517510.29%132334116.88915242625700061116343.34%6538297000.5100435754
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)74300.9222.864190020255135000073120
2Michael HutchinsonWheeling Nailers (HAM)42200.9083.13211001112058100047000
3JONAS ARNTZENWheeling Nailers (HAM)10000.9134.29280022315000001000
Statistiques d’équipe totales ou en moyenne126500.9173.0165900333982081001111120


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$436,170$0$0$No---------------------------Lien
Beck MalenstynWheeling Nailers (HAM)LW271998-02-04CANNo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,200,000$1,919,149$0$0$No2,200,000$--------2,200,000$--------No--------Lien
Brandon BiroWheeling Nailers (HAM)LW271998-03-11CANNo170 Lbs5 ft11NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$436,170$0$0$No---------------------------Lien
Bryce KindoppWheeling Nailers (HAM)RW261999-06-14CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$436,170$0$0$No---------------------------
Christoffer EhnWheeling Nailers (HAM)LW291996-04-05SWENo181 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$436,170$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$1,064,255$0$0$No---------------------------Lien
Denis MalginWheeling Nailers (HAM)LW281997-01-18CHENo182 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm2,200,000$1,919,149$0$0$No2,200,000$--------2,200,000$--------No--------
Dustin WolfWheeling Nailers (HAM)G242001-04-16USAYes166 Lbs6 ft0NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm700,000$610,638$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$544,340$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$436,170$0$0$No500,000$--------500,000$--------No--------Lien
Gabriel DumontWheeling Nailers (HAM)C341990-10-06CANNo190 Lbs5 ft10NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm1,500,000$1,308,511$0$0$No---------------------------Lien
JONAS ARNTZEN (contrat à 1 volet)Wheeling Nailers (HAM)G271997-11-21NORNo190 Lbs6 ft3NoNoFree AgentNoNo12025-11-20FalseFalseFarm Only255,000$222,447$0$0$No---------------------------Lien
Joe SnivelyWheeling Nailers (HAM)RW291996-01-01USANo176 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,250,000$1,962,766$0$0$No---------------------------Lien
Joey AndersonWheeling Nailers (HAM)RW271998-06-19USANo207 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$697,872$0$0$No---------------------------Lien
Juha JaaskaWheeling Nailers (HAM)LW271998-02-09FINNo196 Lbs6 ft0NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm500,000$436,170$0$0$No---------------------------Lien
Lane HutsonWheeling Nailers (HAM)D212004-02-14USAYes158 Lbs5 ft9NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,000,000$872,340$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$479,787$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$1,526,596$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Mark FriedmanWheeling Nailers (HAM)D291995-12-25CANNo185 Lbs5 ft11NoNoFree AgentNoNo22025-10-26FalseFalsePro & Farm555,556$484,634$0$0$No555,556$--------555,556$--------No--------Lien
Matthew KniesWheeling Nailers (HAM)LW222002-10-17USAYes210 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm900,000$785,106$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Mattias Janmark (sur la masse salariale)Wheeling Nailers (HAM)RW321992-12-08SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm720,000$628,085$0$0$No---------------------------Lien
Michael Hutchinson (contrat à 1 volet)Wheeling Nailers (HAM)G351990-03-02CANNo201 Lbs6 ft3NoNoFree AgentNoNo22025-10-24FalseFalsePro & Farm1,200,000$1,046,809$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nikolai KovalenkoWheeling Nailers (HAM)RW251999-10-17USANo180 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm500,000$436,170$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$1,962,766$0$0$No2,250,000$--------2,250,000$--------No--------Lien
Otto KoivulaWheeling Nailers (HAM)LW261998-09-01FINNo225 Lbs6 ft5NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm624,000$544,340$0$0$No624,000$624,000$624,000$------624,000$624,000$624,000$------NoNoNo------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2527.60190 Lbs6 ft12.00991,942$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesJuha JaaskaChristoffer Ehn34023
2Beck MalenstynDenis MalginBryce Kindopp32032
3Alex IafalloOtto KoivulaJoey Anderson24032
4Joe SnivelyOskar SteenOtto Koivula10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lane HutsonLuke Hughes40023
2Libor HajekDavid Rundblad31041
3Mark FriedmanFilip Roos25041
4Mark FriedmanFilip Roos4032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesJuha JaaskaChristoffer Ehn60005
2Beck MalenstynDenis MalginBryce Kindopp40005
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 Malgin40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lane HutsonLuke Hughes52050
2Libor HajekMark Friedman48050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Beck Malenstyn50050Luke HughesLane Hutson52050
2Bryce Kindopp50050Mark FriedmanLibor 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 KniesJuha JaaskaChristoffer EhnLane HutsonLuke Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesBeck MalenstynJoey AndersonDavid RundbladLibor Hajek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joey Anderson, Beck Malenstyn, , Denis MalginJoey Anderson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Friedman, Libor Hajek, David RundbladDavid RundbladMark Friedman, 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, Juha Jaaska, Christoffer Ehn, Joey Anderson, Denis Malgin, , Beck Malenstyn, Bryce Kindopp, Otto Koivula, Oskar Steen
Lignes de défense personnalisées en prolongation
Luke Hughes, Lane Hutson, Libor Hajek, Mark Friedman, 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 Lobsters11000000431000000000001100000043131.00047110061310135104105901351048214125.00%4250.00%010824344.44%11025742.80%7316145.34%224120237100198102
2Bakersfield Condors1010000026-41010000026-40000000000000.0002460061310121104105901421012294125.00%10100.00%010824344.44%11025742.80%7316145.34%224120237100198102
3Cleveland Monsters11000000211110000002110000000000031.000246006131012410410590136151216000%10100.00%010824344.44%11025742.80%7316145.34%224120237100198102
4Greensboro Gargoyles10001000431100010004310000000000020.6674610006131012910410590132122244250.00%10100.00%010824344.44%11025742.80%7316145.34%224120237100198102
5Laval Rocket11000000523000000000001100000052331.0005914006131013510410590135110324125.00%000%010824344.44%11025742.80%7316145.34%224120237100198102
6Lehigh Valley Phantoms1010000013-21010000013-20000000000000.00012300613101281041059013412019200.00%000%010824344.44%11025742.80%7316145.34%224120237100198102
7Providence Bruins11000000532110000005320000000000031.0005914006131013210410590146217213133.33%10100.00%010824344.44%11025742.80%7316145.34%224120237100198102
8Rochester Americans1010000012-11010000012-10000000000000.00012300613101191041059012241130200.00%3166.67%010824344.44%11025742.80%7316145.34%224120237100198102
9Rockford IceHogs1010000016-5000000000001010000016-500.0001120061310121104105901398916300.00%20100.00%010824344.44%11025742.80%7316145.34%224120237100198102
10Savannah Ghost Pirates11000000422000000000001100000042231.0004711006131013210410590135146274375.00%3166.67%010824344.44%11025742.80%7316145.34%224120237100198102
11Trois Rivieres Lions1010000012-1000000000001010000012-100.000112006131012410410590142131721400.00%10100.00%010824344.44%11025742.80%7316145.34%224120237100198102
Total1155010003033-3623010001518-35320000015150170.5153052820061310130010410590139813012425634926.47%17476.47%010824344.44%11025742.80%7316145.34%224120237100198102
_Since Last GM Reset1155010003033-3623010001518-35320000015150170.5153052820061310130010410590139813012425634926.47%17476.47%010824344.44%11025742.80%7316145.34%224120237100198102
_Vs Conference84301000252054120100011110431000001495140.58325436800613101234104105901281979119527829.63%13469.23%010824344.44%11025742.80%7316145.34%224120237100198102
_Vs Division62301000161423020100068-232100000106480.44416274300613101167104105901200663615320630.00%8275.00%010824344.44%11025742.80%7316145.34%224120237100198102

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1117W230528230039813012425600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
115510003033
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62310001518
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001515
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
34926.47%17476.47%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
104105901613101
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
10824344.44%11025742.80%7316145.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
224120237100198102


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 Devils-Wheeling Nailers-
30180Iowa Heartlanders-Wheeling Nailers-
33195Wheeling Nailers-Greenville Swamp Rabbits-
35204Orlando Solar Bears-Wheeling Nailers-
37214Wheeling Nailers-Bridgeport Islanders-
40228Bridgeport Islanders-Wheeling Nailers-
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
Assistance10,1515,669
Assistance PCT84.59%94.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 2637 - 87.89% 62,840$377,040$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
287,101$ 2,262,356$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 287,101$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,136,560$ 164 12,034$ 1,973,576$




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