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Utica Devils
GP: 12 | W: 5 | L: 6 | OTL: 1 | P: 14
GF: 38 | GA: 39 | PP%: 19.05% | PK%: 72.97%
DG: Rocco | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #178 vs Savannah Ghost Pirates

Centre de jeu
Lehigh Valley Phantoms
4-6-2, 14pts
5
1 Utica Devils
5-6-1, 14pts
Team Stats
L1SéquenceL2
1-3-2Fiche domicile3-3-1
3-3-0Fiche domicile2-3-0
3-5-2Derniers 10 matchs4-5-1
3.42Buts par match 3.17
3.58Buts contre par match 3.25
13.64%Pourcentage en avantage numérique19.05%
71.43%Pourcentage en désavantage numérique72.97%
Utica Devils
5-6-1, 14pts
2
3 Wheeling Nailers
7-5-0, 20pts
Team Stats
L2SéquenceW3
3-3-1Fiche domicile4-3-0
2-3-0Fiche domicile3-2-0
4-5-1Derniers 10 matchs6-4-0
3.17Buts par match 2.75
3.25Buts contre par match 2.92
19.05%Pourcentage en avantage numérique25.64%
72.97%Pourcentage en désavantage numérique77.78%
Savannah Ghost Pirates
6-5-1, 18pts
Jour 30
Utica Devils
5-6-1, 14pts
Statistiques d’équipe
L3SéquenceL2
2-2-0Fiche domicile3-3-1
4-3-1Fiche visiteur2-3-0
5-5-010 derniers matchs4-5-1
3.00Buts par match 3.17
3.33Buts contre par match 3.17
25.42%Pourcentage en avantage numérique19.05%
66.67%Pourcentage en désavantage numérique72.97%
Utica Devils
5-6-1, 14pts
Jour 32
Greensboro Gargoyles
5-4-3, 17pts
Statistiques d’équipe
L2SéquenceW2
3-3-1Fiche domicile3-2-1
2-3-0Fiche visiteur2-2-2
4-5-110 derniers matchs5-3-2
3.17Buts par match 3.17
3.25Buts contre par match 3.17
19.05%Pourcentage en avantage numérique17.78%
72.97%Pourcentage en désavantage numérique72.22%
Laval Rocket
6-3-3, 18pts
Jour 36
Utica Devils
5-6-1, 14pts
Statistiques d’équipe
W1SéquenceL2
4-3-1Fiche domicile3-3-1
2-0-2Fiche visiteur2-3-0
4-3-310 derniers matchs4-5-1
2.83Buts par match 3.17
2.92Buts contre par match 3.17
16.67%Pourcentage en avantage numérique19.05%
86.79%Pourcentage en désavantage numérique72.97%
Meneurs d'équipe
Buts
Mikael Pyyhtia
5
Passes
Christian Jaros
9
Points
Logan Brown
10
Plus/Moins
Mikael Pyyhtia
5
Victoires
Garret Sparks
3
Pourcentage d’arrêts
Garret Sparks
0.912

Statistiques d’équipe
Buts pour
38
3.17 GFG
Tirs pour
444
37.00 Avg
Pourcentage en avantage numérique
19.0%
8 GF
Début de zone offensive
42.3%
Buts contre
39
3.25 GAA
Tirs contre
377
31.42 Avg
Pourcentage en désavantage numérique
73.0%%
10 GA
Début de la zone défensive
34.4%
Informations de l'équipe

Directeur généralRocco
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,549
Billets de saison1,380


Informations de la formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 250
Espoirs8


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
1Frederik Gauthier0X99.007161765799777767797067716379835540690301500,000$
2Logan Brown0X99.006454786695788367686869706774775540690271551,000$
3Milan Lucic0X99.008364665090837674667175626886885540690371500,000$
4Brad Marchand0X99.006640827949858568647067646986715540680372500,000$
5Mikael Pyyhtia (R)0X100.005633849067788363596465726968725540680232700,000$
6Ryan Lomberg0X100.009654447672777765586767686979665540680302556,000$
7Linus Omark0X100.005340847554807668637067566988755540660381500,000$
8Vinni Lettieri0X100.005744807468747762696463696679735540660301500,000$
9Alex Barre-Boulet0X100.005640817860727861636364696775635540650282700,000$
10Leo Komarov0X100.008746786367798062636565596288695540650381500,000$
11Mats Zuccarello0X100.006340707450757165686765596786745540650371500,000$
12Cal O'Reilly0X100.005141777066717462746463596388735540640381500,000$
13Philip Larsen0X99.0073418776788489655068617462828355407303511,900,000$
14Jeff Petry0X99.006945826587828568507060695986835540710371500,000$
15Korbinian Holzer0X99.008342706583788068506860716186835540710371500,000$
16Oscar Fantenberg0X100.007549786689727862506461686081775540690332800,000$
17Kyle Burroughs0X100.006052667578656865506763746178695540680292500,000$
18Andreas Borgman0X100.006649717183706967507060675978695540670301500,000$
Rayé
1Johan Larsson0X95.597154736968818170847271687180705540690321500,000$
2Ryan Reaves0XX100.008957615485696860576261695893875540650381500,000$
3Hudson Fasching0X100.006547786674697157735861736177695540640292500,000$
4Jesper Froden0X100.005535767460686960506359726378605540640301500,000$
5Brandon Baddock0X100.006047796280637155505659725876685540620301500,000$
6Christian Jaros0X91.287056786497717069507164726178795540700292500,000$
7Jake Walman0X100.006251756884737563506463696074775540680292500,000$
8William Lagesson0X100.005654727088757465506862695977705540680291500,000$
9Mitch Reinke0X100.005240788247676661505859716175635540640291500,000$
MOYENNE D’ÉQUIPE99.25674775707575766460666468638174554067
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
1Garret Sparks097.00646770847576777777767780655540730321950,000$
2TOMI KARHUNEN0100.00816060727475767474757684695240720351250,000$
Rayé
1Dustin Tokarski0100.00745252787375767474757284676140710351500,000$
2NIKLAS RUBIN0100.00696060747576777777767774625240710291250,000$
MOYENNE D’ÉQUIPE99.2572606177747677767676768166554072
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
1Logan BrownUtica Devils (NJD)RW124610140192540172110.00%1624520.451127330003291043.48%2365000.8201000100
2Christian JarosUtica Devils (NJD)D1209941410172316950%1223019.22000025000019000%057000.7800020001
3Johan LarssonUtica Devils (NJD)C745917581232102312.50%212317.59123420000050051.08%18633011.4601100110
4Milan LucicUtica Devils (NJD)LW123695523040234010277.50%526121.802248380002250149.15%5973000.6911321000
5Mikael PyyhtiaUtica Devils (NJD)RW115275558643132411.63%315914.50123220000001057.89%19131000.8800100100
6Brad MarchandUtica Devils (NJD)LW12336-25519154611306.52%421818.201011280000220150.00%4112000.5501010000
7Frederik GauthierUtica Devils (NJD)C524641210118122516.67%310320.67022114000011054.81%13510001.1600101020
8Linus OmarkUtica Devils (NJD)RW12235-20031719121710.53%214311.95000114000000029.17%2471000.7001000000
9Andreas BorgmanUtica Devils (NJD)D6044-1001777030%512821.45011114000010000%024000.6200000001
10Cal O'ReillyUtica Devils (NJD)C12314-3407132021115.00%220016.71011028000090052.94%15354000.4001000000
11Korbinian HolzerUtica Devils (NJD)D12044-2175472320970%1930525.47011641000026000%0415000.2600001001
12Leo KomarovUtica Devils (NJD)RW12224-240295153413.33%213311.1200001000000050.00%621000.6000000000
13Ryan LombergUtica Devils (NJD)LW12314113530112061315.00%41159.6500003000000050.00%232000.6901001020
14Jeff PetryUtica Devils (NJD)D12033-355151721560%1530925.75000342000130000%039000.1900001000
15Vinni LettieriUtica Devils (NJD)C12033-2141010211911110%415412.85000000000140061.64%7333000.3900011000
16William LagessonUtica Devils (NJD)D60333405104650%610918.30000010000011000%002000.5500000000
17Philip LarsenUtica Devils (NJD)D12022-355282216940%525521.29011029000011000%0711000.1600001000
18Hudson FaschingUtica Devils (NJD)RW610110024121100.00%4488.1000000000000041.67%1200000.4100000000
19Jake WalmanUtica Devils (NJD)D710110041062016.67%1310114.501011300001000%003000.2000000000
20Mats ZuccarelloUtica Devils (NJD)RW12011-10024165150%2998.28000000000000100.00%252000.2001000000
21Kyle BurroughsUtica Devils (NJD)D12000015513165310%1417514.5900000000110000%05300000001000
22Oscar FantenbergUtica Devils (NJD)D6000000698230%410317.190000000000000%01400000000000
Statistiques d’équipe totales ou en moyenne22233629551801003403014261492367.75%146372516.78713203537100072323252.29%6989385010.5118668353
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
1Garret SparksUtica Devils (NJD)83400.9122.893940019216118000074110
2Dustin TokarskiUtica Devils (NJD)11000.9092.81640033314100010000
3TOMI KARHUNENUtica Devils (NJD)51210.8753.53272001612863000.714748000
Statistiques d’équipe totales ou en moyenne145610.8993.1273100383771951071212110


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 Barre-BouletUtica Devils (NJD)LW281997-05-21CANNo181 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm700,000$603,191$0$0$No700,000$--------700,000$--------No--------Lien
Andreas BorgmanUtica Devils (NJD)D301995-06-18SWENo205 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Brad Marchand (contrat à 1 volet)Utica Devils (NJD)LW371988-05-11CANNo176 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No500,000$--------500,000$--------No--------Lien
Brandon BaddockUtica Devils (NJD)LW301995-03-29CANNo218 Lbs6 ft3NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Cal O'Reilly (contrat à 1 volet)Utica Devils (NJD)C381986-09-30CANNo186 Lbs6 ft0NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Christian JarosUtica Devils (NJD)D291996-04-02SVKNo222 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No500,000$--------500,000$--------No--------
Dustin TokarskiUtica Devils (NJD)G351989-09-16CANNo198 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Frederik GauthierUtica Devils (NJD)C301995-04-26CANNo239 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------
Garret SparksUtica Devils (NJD)G321993-06-28USANo220 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm950,000$818,617$0$0$No---------------------------Lien
Hudson FaschingUtica Devils (NJD)RW291995-07-28USANo204 Lbs6 ft3NoNoFree AgentNoNo22025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No500,000$--------500,000$--------No--------Lien
Jake WalmanUtica Devils (NJD)D291996-02-20CANNo216 Lbs6 ft2NoNoFree AgentNoNo22025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No500,000$--------500,000$--------No--------Lien
Jeff Petry (contrat à 1 volet)Utica Devils (NJD)D371987-12-09USANo207 Lbs6 ft3NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Jesper FrodenUtica Devils (NJD)RW301994-09-21SWENo179 Lbs5 ft10NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------
Johan LarssonUtica Devils (NJD)C321992-07-25SWENo206 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Korbinian Holzer (contrat à 1 volet)Utica Devils (NJD)D371988-02-16DEUNo187 Lbs6 ft3NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------
Kyle BurroughsUtica Devils (NJD)D291995-07-12CANNo194 Lbs6 ft0NoNoFree AgentNoNo22025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No500,000$--------500,000$--------No--------Lien
Leo Komarov (contrat à 1 volet)Utica Devils (NJD)RW381987-01-23FINNo205 Lbs5 ft11NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Linus Omark (contrat à 1 volet)Utica Devils (NJD)RW381987-02-05SWENo180 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Logan BrownUtica Devils (NJD)RW271998-03-05USANo218 Lbs6 ft6NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm551,000$474,798$0$0$No---------------------------Lien
Mats Zuccarello (contrat à 1 volet)Utica Devils (NJD)RW371987-09-01NORNo181 Lbs5 ft8NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Mikael PyyhtiaUtica Devils (NJD)RW232001-12-17FINYes154 Lbs6 ft0NoNoTrade2026-02-06NoNo22025-09-30FalseFalsePro & Farm700,000$603,191$0$0$No700,000$--------700,000$--------No--------Lien
Milan Lucic (contrat à 1 volet)Utica Devils (NJD)LW371988-06-07CANNo240 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Mitch ReinkeUtica Devils (NJD)D291996-02-04USANo181 Lbs5 ft11NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------
NIKLAS RUBIN (contrat à 1 volet)Utica Devils (NJD)G291995-12-23SWENo203 Lbs6 ft0NoNoFree AgentNoNo12025-11-03FalseFalseFarm Only250,000$215,426$0$0$No---------------------------Lien
Oscar FantenbergUtica Devils (NJD)D331991-10-07SWENo206 Lbs6 ft0NoNoTrade2026-02-22NoNo22025-10-27FalseFalsePro & Farm800,000$689,362$0$0$No800,000$--------800,000$--------No--------Lien
Philip LarsenUtica Devils (NJD)D351989-12-07DNKNo185 Lbs6 ft1NoNoTrade2026-02-07NoNo12025-09-30FalseFalsePro & Farm1,900,000$1,637,234$0$0$No---------------------------
Ryan LombergUtica Devils (NJD)LW301994-09-12CANNo187 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm556,000$479,106$0$0$No556,000$--------556,000$--------No--------Lien
Ryan Reaves (contrat à 1 volet)Utica Devils (NJD)LW/RW381987-01-20CANNo225 Lbs6 ft2NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
TOMI KARHUNEN (contrat à 1 volet)Utica Devils (NJD)G351989-10-29FINNo174 Lbs5 ft11NoNoFree AgentNoNo12025-11-03FalseFalseFarm Only250,000$215,426$0$0$No---------------------------Lien
Vinni LettieriUtica Devils (NJD)C301995-02-06USANo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
William LagessonUtica Devils (NJD)D291996-02-22SWENo207 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$430,851$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3132.26199 Lbs6 ft11.29569,581$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milan LucicFrederik GauthierMikael Pyyhtia40014
2Brad MarchandCal O'ReillyLogan Brown30023
3Alex Barre-BouletVinni LettieriLeo Komarov20122
4Ryan LombergLinus OmarkMats Zuccarello10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Korbinian HolzerJeff Petry35041
2Oscar FantenbergAndreas Borgman35041
3Philip LarsenKyle Burroughs30041
4Philip LarsenKorbinian Holzer0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milan LucicFrederik GauthierMikael Pyyhtia60014
2Brad MarchandCal O'ReillyLogan Brown40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Korbinian HolzerJeff Petry60023
2Oscar FantenbergAndreas Borgman40032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Milan LucicLogan Brown60131
2Frederik GauthierBrad Marchand40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Korbinian HolzerJeff Petry60131
2Oscar FantenbergAndreas Borgman40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Milan Lucic60131Korbinian HolzerJeff Petry60131
2Logan Brown40131Oscar FantenbergAndreas Borgman40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Milan LucicLogan Brown60023
2Frederik GauthierBrad Marchand40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Korbinian HolzerJeff Petry60023
2Oscar FantenbergAndreas Borgman40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Milan LucicFrederik GauthierLogan BrownKorbinian HolzerJeff Petry
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Milan LucicFrederik GauthierLogan BrownKorbinian HolzerJeff Petry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Barre-Boulet, Ryan Lomberg, Vinni LettieriAlex Barre-Boulet, Ryan LombergVinni Lettieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Larsen, Kyle Burroughs, Oscar FantenbergPhilip LarsenKyle Burroughs, Philip Larsen
Tirs de pénalité
Milan Lucic, Logan Brown, Frederik Gauthier, Brad Marchand, Cal O'Reilly
Gardien
#1 : Garret Sparks, #2 : TOMI KARHUNEN, #3 : 0
Lignes d’attaque personnalisées en prolongation
Milan Lucic, Logan Brown, Frederik Gauthier, Brad Marchand, Cal O'Reilly, Alex Barre-Boulet, Ryan Lomberg, Vinni Lettieri, Linus Omark, Leo Komarov
Lignes de défense personnalisées en prolongation
Korbinian Holzer, Jeff Petry, Oscar Fantenberg, Andreas Borgman, Philip Larsen


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 Canucks10001000431100010004310000000000020.667471100917103401481711201233129276116.67%220.00%015631250.00%13825454.33%9617255.81%264149245113223110
2Athens Rock Lobsters1010000023-11010000023-10000000000000.00024600917103331481711201224161325200.00%4175.00%015631250.00%13825454.33%9617255.81%264149245113223110
3Bridgeport Islanders1010000035-2000000000001010000035-200.0003690091710337148171120123815817200.00%4250.00%015631250.00%13825454.33%9617255.81%264149245113223110
4Greenville Swamp Rabbits11000000532110000005320000000000031.00059140091710340148171120122516244200.00%10100.00%015631250.00%13825454.33%9617255.81%264149245113223110
5Henderson Silver Knights10001000211000000000001000100021120.6672460091710335148171120122975316116.67%000%015631250.00%13825454.33%9617255.81%264149245113223110
6Iowa Heartlanders1000000123-11000000123-10000000000010.3332350091710338148171120122699218112.50%20100.00%015631250.00%13825454.33%9617255.81%264149245113223110
7Lehigh Valley Phantoms1010000015-41010000015-40000000000000.0001120091710335148171120122972729000%10100.00%015631250.00%13825454.33%9617255.81%264149245113223110
8Milwaukee Admirals11000000615110000006150000000000031.0006101600917103451481711201228742314125.00%10100.00%015631250.00%13825454.33%9617255.81%264149245113223110
9Orlando Solar Bears11000000413000000000001100000041331.00047110091710341148171120123218311411100.00%9188.89%015631250.00%13825454.33%9617255.81%264149245113223110
10Providence Bruins1010000046-21010000046-20000000000000.0004610009171033214817112012371415304125.00%5180.00%015631250.00%13825454.33%9617255.81%264149245113223110
11Trois Rivieres Lions1010000035-2000000000001010000035-200.000347009171033014817112012461311356233.33%3233.33%015631250.00%13825454.33%9617255.81%264149245113223110
12Wheeling Nailers1010000023-1000000000001010000023-100.0002240091710338148171120123041035100.00%5180.00%015631250.00%13825454.33%9617255.81%264149245113223110
Total1236020013839-17230100124240513010001415-1140.3893863101009171034441481711201237713818233942819.05%371072.97%015631250.00%13825454.33%9617255.81%264149245113223110
_Since Last GM Reset1236020013839-17230100124240513010001415-1140.3893863101009171034441481711201237713818233942819.05%371072.97%015631250.00%13825454.33%9617255.81%264149245113223110
_Vs Conference926000012634-8513000011420-6413000001214-270.259264268009171033241481711201228711212625026519.23%34876.47%015631250.00%13825454.33%9617255.81%264149245113223110
_Vs Division623000012021-1412000011315-22110000076170.3892035550091710322114817112012182887815119315.79%25580.00%015631250.00%13825454.33%9617255.81%264149245113223110

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214L2386310144437713818233900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
123620013839
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
72310012424
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51310001415
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
42819.05%371072.97%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
14817112012917103
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
15631250.00%13825454.33%9617255.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
264149245113223110


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
15Athens Rock Lobsters3Utica Devils2LSommaire du match
318Greenville Swamp Rabbits3Utica Devils5WSommaire du match
535Iowa Heartlanders3Utica Devils2LXXSommaire du match
748Utica Devils4Orlando Solar Bears1WSommaire du match
962Utica Devils3Bridgeport Islanders5LSommaire du match
1177Utica Devils3Trois Rivieres Lions5LSommaire du match
1390Providence Bruins6Utica Devils4LSommaire du match
15107Milwaukee Admirals1Utica Devils6WSommaire du match
17118Abbotsford Canucks3Utica Devils4WXSommaire du match
19130Utica Devils2Henderson Silver Knights1WXSommaire du match
22141Lehigh Valley Phantoms5Utica Devils1LSommaire du match
26161Utica Devils2Wheeling Nailers3LSommaire du match
30178Savannah Ghost Pirates-Utica Devils-
32188Utica Devils-Greensboro Gargoyles-
36209Laval Rocket-Utica Devils-
39222Rochester Americans-Utica Devils-
42236Utica Devils-Rochester Americans-
45248Utica Devils-Laval Rocket-
47257Greensboro Gargoyles-Utica Devils-
49267Utica Devils-Savannah Ghost Pirates-
53287Utica Devils-Wheeling Nailers-
55296Utica Devils-Lehigh Valley Phantoms-
59314San Diego Gulls-Utica Devils-
62330Cleveland Monsters-Utica Devils-
64347Bakersfield Condors-Utica Devils-
66358Utica Devils-Rockford IceHogs-
68374Trois Rivieres Lions-Utica Devils-
70389Bridgeport Islanders-Utica Devils-
72403Orlando Solar Bears-Utica Devils-
73412Utica Devils-Iowa Heartlanders-
76425Coachella Valley Firebirds-Utica Devils-
78437Reading Royals-Utica Devils-
80451Utica Devils-Bloomington Bison-
83465Utica Devils-Greensboro Gargoyles-
85480Laval Rocket-Utica Devils-
88495Rochester Americans-Utica Devils-
91507Utica Devils-Macon Whoopee-
94528Macon Whoopee-Utica Devils-
96542Grand Rapids Griffins-Utica Devils-
97549Utica Devils-Grand Rapids Griffins-
99563Colorado Eagles-Utica Devils-
101577Pee Dee Pride-Utica Devils-
103589Utica Devils-Greenville Swamp Rabbits-
106604Utica Devils-Athens Rock Lobsters-
109621Utica Devils-Providence Bruins-
113631Lehigh Valley Phantoms-Utica Devils-
116654Wheeling Nailers-Utica Devils-
120669Savannah Ghost Pirates-Utica Devils-
122683Utica Devils-Bakersfield Condors-
123690Utica Devils-Cleveland Monsters-
126714Utica Devils-San Diego Gulls-
128728Henderson Silver Knights-Utica Devils-
129738Utica Devils-Abbotsford Canucks-
132752Utica Devils-Milwaukee Admirals-
134763Trois Rivieres Lions-Utica Devils-
136776Utica Devils-Bridgeport Islanders-
138790Utica Devils-Orlando Solar Bears-
141805Iowa Heartlanders-Utica Devils-
144826Rockford IceHogs-Utica Devils-
147840Utica Devils-Coachella Valley Firebirds-
149850Utica Devils-Reading Royals-
151860Bloomington Bison-Utica Devils-
153869Utica Devils-Colorado Eagles-
156888Utica Devils-Pee Dee Pride-
159906Greensboro Gargoyles-Utica Devils-
161922Utica Devils-Laval Rocket-
163937Utica Devils-Rochester Americans-
165946Utica Devils-Savannah Ghost Pirates-
167966Wheeling Nailers-Utica Devils-
169975Utica Devils-Lehigh Valley Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172992Utica Devils-Trois Rivieres Lions-
1741008Bridgeport Islanders-Utica Devils-
1761022Orlando Solar Bears-Utica Devils-
1781036Utica Devils-Iowa Heartlanders-
1801040Greenville Swamp Rabbits-Utica Devils-
1811054Utica Devils-Greenville Swamp Rabbits-
1831069Athens Rock Lobsters-Utica Devils-
1841083Utica Devils-Athens Rock Lobsters-
1861098Providence Bruins-Utica Devils-
1871117Utica Devils-Providence Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance11,4136,429
Assistance PCT81.52%91.84%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2549 - 84.96% 60,646$424,522$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
153,291$ 1,265,700$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 153,291$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,001,318$ 162 6,732$ 1,090,584$




Utica Devils 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

Utica Devils 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

Utica Devils 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

Utica Devils 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

Utica Devils 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