Connexion

Pensacola Ice Flyers
GP: 13 | W: 6 | L: 7
GF: 41 | GA: 38 | PP%: 16.67% | PK%: 67.65%
DG: Lance Grable | Morale : 50 | Moyenne d’équipe : 70

Centre de jeu
Pensacola Ice Flyers
6-7-0, 12pts
3
FINAL
5 Durham Pioneers
8-5-0, 16pts
Team Stats
OTL1SéquenceW2
3-3-0Fiche domicile4-3-0
3-4-0Fiche domicile4-2-0
5-3-2Derniers 10 matchs6-3-1
3.15Buts par match 3.31
2.92Buts contre par match 3.15
16.67%Pourcentage en avantage numérique25.71%
67.65%Pourcentage en désavantage numérique84.62%
Durham Pioneers
8-5-0, 16pts
4
FINAL
3 Pensacola Ice Flyers
6-7-0, 12pts
Team Stats
W2SéquenceOTL1
4-3-0Fiche domicile3-3-0
4-2-0Fiche domicile3-4-0
6-3-1Derniers 10 matchs5-3-2
3.31Buts par match 3.15
3.15Buts contre par match 2.92
25.71%Pourcentage en avantage numérique16.67%
84.62%Pourcentage en désavantage numérique67.65%
Meneurs d'équipe
Brandon DuhaimeButs
Brandon Duhaime
6
Dylan GambrellPasses
Dylan Gambrell
11
Brandon DuhaimePoints
Brandon Duhaime
14
David CottonPlus/Moins
David Cotton
6
Drew CommessoVictoires
Drew Commesso
6
Drew CommessoPourcentage d’arrêts
Drew Commesso
0.902

Statistiques d’équipe
Buts pour
41
3.15 GFG
Tirs pour
393
30.23 Avg
Pourcentage en avantage numérique
16.7%
5 GF
Début de zone offensive
38.3%
Buts contre
38
2.92 GAA
Tirs contre
377
29.00 Avg
Pourcentage en désavantage numérique
67.6%%
11 GA
Début de la zone défensive
42.5%
Informations de l'équipe

Directeur généralLance Grable
EntraîneurCory Clouston
DivisionAtlantic
ConférenceEastern Conference
CapitaineDylan Gambrell
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs37


Historique d'équipe

Saison actuelle6-7
Historique160-146-29 (0.478%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)12 - 11 (0.522%)
Coupe Stanley0


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
1Brandon DuhaimeXX100.008385648381889275667372816584820507412831,250,000$
2Dylan Gambrell (C)XX100.00713093797688937576747375658884050731293850,000$
3Connor Zary (R)X100.00753584837587907576717275697579050721241995,000$
4David Cotton (R)X100.00773088757883867276686972727376050700281600,000$
5Bradly Nadeau (R)XXX100.007030837868808171716972726868680506902031,000,000$
6Stephen Halliday (R)X100.00733577768081817174706872667371050690232700,000$
7Lucas Edmonds (R)XX100.00663097787683857267696971727271050690241750,000$
8Dylan Duke (R)XX100.00774574766978797172697072647170050680223700,000$
9Joe Snively (R)XX100.006930917570828470726965706882800506802911,000,000$
10Brandon Coe (R)X100.00653092807681836667656473627070050670241700,000$
11Chase Stillman (R)XX100.00734377767578796868666671636971050670222900,000$
12Josh Lopina (R)XX100.00693385757676786676646471617171050670241600,000$
13Ian Mitchell (R)X100.00713091836991937330716677567879050731261865,000$
14Scott Perunovich (R)X100.00713090856784807430736375517270050711271895,000$
15Vincent Iorio (R)X100.00683094828085886730665975487369050711231855,000$
16Seamus Casey (R)X100.00713095806780787130686576596768050700213950,000$
17Stanislav Svozil (R)X100.00733087817781826830676075497370050700223800,000$
18Kaedan Korczak (R)X100.00684574787782826530616371526463050680241895,000$
Rayé
1Ty Mueller (R)X100.00693088787178806976696573637068050680223700,000$
2Hudson Elynuik (R)X100.00733583728076776775656469627374050670281715,000$
3Andrew AgozzinoXX100.00785378737074726661646469666863050650341900,000$
4Michael Callahan (R)X100.00723090737776776430645373457372050670262700,000$
MOYENNE D’ÉQUIPE100.0072368578748183705868667361737205069
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Drew Commesso (R)100.0087848582878787868787857068050820232700,000$
2Justus Annunen (R)100.0084798088858385848485817069050810252850,000$
Rayé
MOYENNE D’ÉQUIPE100.008682838586858685868683706905082
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cory Clouston87807384808750CAN5611,000,000$


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
1Brandon DuhaimePensacola Ice Flyers (TAM)LW/RW136814416037233682416.67%323518.08033327000000150.00%1400001.1900000220
2Dylan GambrellPensacola Ice Flyers (TAM)C/RW13311145206174013357.50%125619.72022428000000063.64%2200001.0900000011
3Scott PerunovichPensacola Ice Flyers (TAM)D1348125403115144128.57%626720.5921382700001000%000000.9000000101
4Lucas EdmondsPensacola Ice Flyers (TAM)LW/RW133695006143062610.00%223217.90011425000001055.56%1800000.7700000000
5Ian MitchellPensacola Ice Flyers (TAM)D1327911002621223119.09%1429822.95000626000018100%000000.6000000001
6Connor ZaryPensacola Ice Flyers (TAM)C1325756012343712275.41%327621.300117280001231050.14%35300000.5100000000
7Joe SnivelyPensacola Ice Flyers (TAM)C/LW13437500121321102519.05%120515.7700000000000142.86%1400000.6800000000
8Brandon CoePensacola Ice Flyers (TAM)RW131560004712288.33%11189.09011226000000033.33%900001.0200000000
9Vincent IorioPensacola Ice Flyers (TAM)D132466801610123516.67%727621.2920242700009100%000000.4300000001
10David CottonPensacola Ice Flyers (TAM)C13426660312626101815.38%323117.84101525000030052.31%26000000.5200000011
11Stephen HallidayPensacola Ice Flyers (TAM)C1332520015233031510.00%121416.48000000000251050.20%25100000.4700000200
12Dylan DukePensacola Ice Flyers (TAM)C/LW130552401614267150%118514.2700000000000057.14%1400000.5400000000
13Bradly NadeauPensacola Ice Flyers (TAM)C/LW/RW132240009153510135.71%321716.70000110000260042.86%2100000.3700000010
14Seamus CaseyPensacola Ice Flyers (TAM)D13044140181719250%1430023.12000526000022000%000000.2700000000
15Chase StillmanPensacola Ice Flyers (TAM)LW/RW13314-3207663950.00%01058.14000000000241050.00%1000000.7600000001
16Stanislav SvozilPensacola Ice Flyers (TAM)D1303328016197320%1523317.9600000000024000%000000.2600000000
17Kaedan KorczakPensacola Ice Flyers (TAM)D1312334018411059.09%1523518.1400000000027010%000000.2500000000
18Josh LopinaPensacola Ice Flyers (TAM)C/RW13123-30061795911.11%1816.2500000000000049.04%10400000.7400000000
Statistiques d’équipe totales ou en moyenne23441801214674028629539310425310.43%91397216.9859144927100012086350.64%109000000.6100000556
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
1Drew CommessoPensacola Ice Flyers (TAM)136520.9022.67764023434800100130110
2Justus AnnunenPensacola Ice Flyers (TAM)10000.8934.39410032800000013000
Statistiques d’équipe totales ou en moyenne146520.9022.76805023737600101313110


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrew AgozzinoPensacola Ice Flyers (TAM)C/LW341991-01-03CANNo187 Lbs5 ft10NoNoN/ANoNo12024-07-25FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Bradly NadeauPensacola Ice Flyers (TAM)C/LW/RW202005-05-05CANYes172 Lbs5 ft11NoNoProspectNoNo32025-10-26FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brandon CoePensacola Ice Flyers (TAM)RW242001-12-01CANYes188 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien / Lien NHL
Brandon DuhaimePensacola Ice Flyers (TAM)LW/RW281997-05-22USANo210 Lbs6 ft2NoNoN/ANoNo32025-09-01FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien / Lien NHL
Chase StillmanPensacola Ice Flyers (TAM)LW/RW222003-03-19CANYes185 Lbs6 ft1NoNoProspectNoNo22024-11-15FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Connor ZaryPensacola Ice Flyers (TAM)C242001-09-25CANYes178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm995,000$0$0$No---------------------------Lien / Lien NHL
David CottonPensacola Ice Flyers (TAM)C281997-07-09USAYes200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien / Lien NHL
Drew CommessoPensacola Ice Flyers (TAM)G232002-07-19USAYes180 Lbs6 ft2NoNoProspectNoNo22024-11-14FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien / Lien NHL
Dylan DukePensacola Ice Flyers (TAM)C/LW222003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo32025-10-26FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien / Lien NHL
Dylan GambrellPensacola Ice Flyers (TAM)C/RW291996-08-26USANo195 Lbs6 ft0NoNoN/ANoNo32025-09-01FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Hudson ElynuikPensacola Ice Flyers (TAM)C281997-10-01CANYes194 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm715,000$0$0$No---------------------------Lien / Lien NHL
Ian MitchellPensacola Ice Flyers (TAM)D261999-01-18CANYes173 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm865,000$0$0$No---------------------------Lien / Lien NHL
Joe SnivelyPensacola Ice Flyers (TAM)C/LW291996-01-01USAYes175 Lbs5 ft9NoNoN/ANoNo12024-07-25FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Josh LopinaPensacola Ice Flyers (TAM)C/RW242001-02-16USAYes208 Lbs6 ft2NoNoProspectNoNo12024-11-18FalseFalsePro & Farm600,000$0$0$No---------------------------Lien / Lien NHL
Justus AnnunenPensacola Ice Flyers (TAM)G252000-03-11FINYes210 Lbs6 ft4NoNoN/ANoNo22024-07-25FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Kaedan KorczakPensacola Ice Flyers (TAM)D242001-01-29CANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm895,000$0$0$No---------------------------Lien / Lien NHL
Lucas EdmondsPensacola Ice Flyers (TAM)LW/RW242001-01-27SWEYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Michael CallahanPensacola Ice Flyers (TAM)D261999-09-23USAYes199 Lbs6 ft2NoNoProspectNoNo22025-09-01FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien / Lien NHL
Scott PerunovichPensacola Ice Flyers (TAM)D271998-08-18USAYes175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm895,000$0$0$No---------------------------Lien / Lien NHL
Seamus CaseyPensacola Ice Flyers (TAM)D212004-01-08USAYes162 Lbs5 ft10NoNoProspectNoNo32025-10-26FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Stanislav SvozilPensacola Ice Flyers (TAM)D222003-01-17CZEYes192 Lbs6 ft0NoNoProspectNoNo32025-10-26FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Stephen HallidayPensacola Ice Flyers (TAM)C232002-07-02CANYes212 Lbs6 ft4NoNoProspectNoNo22025-11-12FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien / Lien NHL
Ty MuellerPensacola Ice Flyers (TAM)C222003-02-26CANYes185 Lbs5 ft11NoNoProspectNoNo32025-10-26FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien / Lien NHL
Vincent IorioPensacola Ice Flyers (TAM)D232002-11-14CANYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm855,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.92189 Lbs6 ft11.79827,917$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon DuhaimeConnor ZaryDylan Gambrell34014
2Joe SnivelyDavid CottonLucas Edmonds31014
3Dylan DukeStephen HallidayBradly Nadeau26032
4Brandon CoeJosh LopinaChase Stillman9032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellSeamus Casey36032
2Scott PerunovichVincent Iorio34041
3Stanislav SvozilKaedan Korczak30032
4Ian MitchellVincent Iorio0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon DuhaimeConnor ZaryDylan Gambrell50005
2Lucas EdmondsDavid CottonBrandon Coe50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellSeamus Casey50014
2Scott PerunovichVincent Iorio50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor ZaryBradly Nadeau50041
2Stephen HallidayChase Stillman50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stanislav SvozilKaedan Korczak50050
2Ian MitchellSeamus Casey50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stephen Halliday50050Stanislav SvozilKaedan Korczak55050
2Connor Zary50050Scott PerunovichVincent Iorio45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stephen HallidayDylan Gambrell50023
2Stephen HallidayDylan Duke50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellSeamus Casey50032
2Scott PerunovichVincent Iorio50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon DuhaimeConnor ZaryDylan GambrellIan MitchellSeamus Casey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bradly NadeauStephen HallidayChase StillmanScott PerunovichVincent Iorio
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Stephen Halliday, Lucas Edmonds, Joe SnivelyJoe Snively, Bradly NadeauDavid Cotton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaedan Korczak, Seamus Casey, Stanislav SvozilSeamus CaseySeamus Casey, Vincent Iorio
Tirs de pénalité
Stephen Halliday, Lucas Edmonds, David Cotton, Bradly Nadeau, Joe Snively
Gardien
#1 : Drew Commesso, #2 : Justus Annunen


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
1Durham Pioneers62400000191723120000011923120000088040.3331937561114178218312014211912164483812617211.76%17382.35%021941852.39%23246350.11%10120948.33%3222253089817589
2Philadelphia Phantoms743000002221132100000871422000001414080.5712243650114178221012014211912213433616013323.08%17852.94%021941852.39%23246350.11%10120948.33%3222253089817589
Total1367000004138363300000191637340000022220120.46241801211214178239312014211912377917428630516.67%341167.65%021941852.39%23246350.11%10120948.33%3222253089817589
_Since Last GM Reset1367000004138363300000191637340000022220120.46241801211214178239312014211912377917428630516.67%341167.65%021941852.39%23246350.11%10120948.33%3222253089817589
_Vs Conference1367000004138363300000191637340000022220120.46241801211214178239312014211912377917428630516.67%341167.65%021941852.39%23246350.11%10120948.33%3222253089817589
_Vs Division62400000191723120000011923120000088040.3331937561114178218312014211912164483812617211.76%17382.35%021941852.39%23246350.11%10120948.33%3222253089817589

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1312OTL14180121393377917428612
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
136700004138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001916
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73400002222
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
30516.67%341167.65%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
12014211912141782
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
21941852.39%23246350.11%10120948.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3222253089817589


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
1 - 2026-05-093Pensacola Ice Flyers2Philadelphia Phantoms4LSommaire du match
3 - 2026-05-1111Pensacola Ice Flyers6Philadelphia Phantoms0WSommaire du match
5 - 2026-05-1319Philadelphia Phantoms4Pensacola Ice Flyers1LSommaire du match
7 - 2026-05-1527Philadelphia Phantoms1Pensacola Ice Flyers2WXSommaire du match
9 - 2026-05-1735Pensacola Ice Flyers2Philadelphia Phantoms7LSommaire du match
11 - 2026-05-1943Philadelphia Phantoms2Pensacola Ice Flyers5WSommaire du match
13 - 2026-05-2151Pensacola Ice Flyers4Philadelphia Phantoms3WXSommaire du match
15 - 2026-05-2357Pensacola Ice Flyers3Durham Pioneers0WSommaire du match
17 - 2026-05-2561Pensacola Ice Flyers2Durham Pioneers3LXSommaire du match
19 - 2026-05-2765Durham Pioneers3Pensacola Ice Flyers2LSommaire du match
21 - 2026-05-2969Durham Pioneers2Pensacola Ice Flyers6WSommaire du match
23 - 2026-05-3173Pensacola Ice Flyers3Durham Pioneers5LSommaire du match
25 - 2026-06-0277Durham Pioneers4Pensacola Ice Flyers3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,987,000$ 1,987,000$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$




Pensacola Ice Flyers 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
1Ian Mitchell32757175232-2111052051853110.73%440752423.012737642270113570%00.6200
2David Cotton32791106197-78054478982311.06%70624019.09112435115011414549.90%10.631021
3Brandon Duhaime32478101179810043747076810.16%47541616.721218301212131016443.86%00.66717
4Connor Zary241789116913804316628079.67%45499220.716162281101417849.57%00.68320
5Scott Perunovich24221135156-15723653643146.69%250486320.10618241280222410%00.6400

Pensacola Ice Flyers 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
1Drew Commesso127724390.9042.8272696634235460540.79769
2Justus Annunen92363770.9022.89506510224425020250.76926
3Ukko-Pekka Luukkonen50182620.8933.3227114115013990030.60015
4Samuel Montembeault45162430.9032.9526212012913260230.73315
5Shane Starrett26101400.8963.54147620878340100.86715

Pensacola Ice Flyers 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
Saison régulière
202282244602163223271-4841152001122130137-7419260104193134-41682233936163068866116227372874476971258369758521422113315.64%2716376.75%21250266746.87%1410297847.35%633131548.14%1878127420226201075522
202382313507243228241-1341161503232120123-341152004011108118-10892284116395266727913242476580982448255975856420591843418.48%2465278.86%31384288947.91%1417284049.89%622128748.33%1970135319395991065524
202482333303274233236-341191502032123114941141801242110122-12922334176503470807317241377980680173242074728917462073014.49%1182777.12%01325280247.29%1364275749.47%670133250.30%1996139619275911069538
2025823232033842682617411814021511411172441141801233127144-179326846072843102797616260988785783276245168034218282045024.51%1533179.74%11452289250.21%1356268250.56%629129748.50%1996139819225861070537
Total Saison régulière328120146015825149521009-571646864084137514491231645282074127438518-80342952168126331593063172896297193159321632262681001328821780777580614718.24%78817378.05%654111125048.10%55471125749.28%2554523148.82%784254237811239842802123
Séries éliminatoires
202410640000034304523000001318-55410000021129123462960015991310931179283418646215291137.93%20385.00%017035647.75%16836446.15%8016648.19%2511752397113266
202513670000041383633000001916373400000222201241801211214178239312014211912377917428630516.67%341167.65%021941852.39%23246350.11%10120948.33%3222253089817589
Total Séries éliminatoires23121100000756871156000003234-212750000043349247514221712292617370321325921120718177120501591627.12%541474.07%038977450.26%40082748.37%18137548.27%574401548170307155

Pensacola Ice Flyers 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
1Ian Mitchell236212771251414413.64%2758825.58224140000200%00.9200
2Dylan Gambrell237192641015457010.00%549321.47246900002049.45%01.0500
3Brandon Duhaime2310132322061317313.70%846620.272791000000145.71%00.9900
4Connor Zary23511165144362657.69%552122.67224900012051.07%00.6100
5Lucas Edmonds2358136010294710.64%240317.53011400001043.75%00.6400

Pensacola Ice Flyers 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
1Drew Commesso2312830.9072.771386026468900100
2Justus Annunen10000.8934.39410032800000