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Ice Flyers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Matt | Morale : 50 | Moyenne d’équipe : 64

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMatt
EntraîneurLarry Regan
DivisionIHL
ConférenceAHL
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance
Billets de saison500


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite Contrat44 / 55
Espoirs6


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Dave Tippett (R)0XX100.00541972777380826779696666613245565066121175,000$
2Scott Arniel (R)0XXX100.00704265697367727170686970663043595066020630,000$
3Jiri Dolezal (R)0XXX100.00643565667076677365708163752631345066020130,000$
4Chris Nilan (R)0X100.00693287637568826444546280644557395065124330,000$
5Michael Betz (R)0XXX100.00461671766872886869607663702933285065020630,000$
6Rick Tocchet (R)0X100.00906465617769507149737563782953955065019130,000$
7Bob Carpenter (R)0XX100.00795365637672607165696967742751975365020130,000$
8Mike Allison (R)0XXX100.00805165637467566972696568683037395064021345,000$
9Jimmy Mann (R)0X100.00813583627569825854505278573638155063123430,000$
10Peter Sundstrom (R)0XX100.00603166727068766548636366653033255063021630,000$
11Torrie Robertson (R)0X100.00704265736968606850655865612935355063020630,000$
12Paul MacDermid (R)0XX100.00845965637872556465586168622840585063020130,000$
13Tim Watters (R)0X100.00672966707179826410635274563549555066124150,000$
14Rick Lanz (R)0X100.00744770687567726610715870653544405866121130,000$
15Ulrich Hiemer (R)0X100.0076466566727266691075616665302985065020630,000$
16Gord Donnelly (R)0X100.00855765737470586010495273562938455064020630,000$
17Brian Curran (R)0X100.00947765598469505810484873532732315064020130,000$
18Dean Kennedy (R)0X100.00876365637971545910544969552740615063020130,000$
Rayé
1Mike Hough (R)0XX100.00765165677572636350605967612740605062020130,000$
2Miroslav Ihnacak (R)0XX100.0055217272696779584853576461313315060020132,000$
3Steve Ludzik (R)0XX100.00613266697169695971595564602935335060021630,000$
4Jiri Dudacek (R)0XXX100.0052218272697479606945676362302615060020630,000$
5Richard Zemlak (R)0XX100.0069456569737172566549476652282695059020130,000$
6Jim Benning (R)0X100.00593365717071786310685463592737515062020130,000$
MOYENNE D’ÉQUIPE100.00714269687371696446616168633039415064
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Vincent Tremblay (R)0100.0079898280808484848484974136150770234125,000$
2Bob Mason (R)0100.0078898284807979797984933231164774021378,000$
Rayé
MOYENNE D’ÉQUIPE100.007989828280828282828495373494976
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Larry Regan60666354267624CAN654100,000$


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
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


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
Bob CarpenterIce Flyers (TOR)C/LW201963-01-01USAYes200 Lbs6 ft0NoNoTrade2026-06-17NoNo12026-06-10FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Bob MasonIce Flyers (TOR)G211961-01-01USAYes188 Lbs6 ft1NoNoFree Agent2026-03-20NoNo32026-06-21FalseFalsePro & Farm78,000$78,000$7,800$7,800$No78,000$78,000$-------78,000$78,000$-------NoNo-------Lien / Lien NHL
Brian CurranIce Flyers (TOR)D201963-01-01CANYes220 Lbs6 ft5NoNoDraftNoNo12026-06-10FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Chris NilanIce Flyers (TOR)RW241958-01-01CANYes205 Lbs6 ft0NoNoProspectNoNo32026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$-------30,000$30,000$-------NoNo-------Lien / Lien NHL
Dave TippettIce Flyers (TOR)C/LW211961-01-01CANYes175 Lbs6 ft4NoNoTrade2025-10-30NoNo12025-09-12FalseFalsePro & Farm75,000$75,000$7,500$7,500$No---------------------------
Dean KennedyIce Flyers (TOR)D201963-01-01CANYes208 Lbs6 ft2NoNoDraftNoNo12026-06-10FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Gord DonnellyIce Flyers (TOR)D201962-01-01CANYes100 Lbs4 ft0NoNoTrade2026-04-12NoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Jim BenningIce Flyers (TOR)D201963-01-01CANYes180 Lbs6 ft0NoNoDraftNoNo12026-06-10FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Jimmy MannIce Flyers (TOR)RW231959-01-01CANYes205 Lbs6 ft0NoNoDraftNoNo42026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$------30,000$30,000$30,000$------NoNoNo------Lien / Lien NHL
Jiri DolezalIce Flyers (TOR)C/LW/RW201963-01-01CZEYes185 Lbs5 ft9NoNoDraftNoNo12026-06-10FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Jiri DudacekIce Flyers (TOR)C/LW/RW201962-01-01CZEYes175 Lbs5 ft10NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Michael BetzIce Flyers (TOR)C/LW/RW201962-01-01GERYes168 Lbs5 ft11NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Mike AllisonIce Flyers (TOR)C/LW/RW211961-01-01CANYes200 Lbs6 ft0NoNoDraftNoNo32026-03-17FalseFalsePro & Farm45,000$45,000$4,500$4,500$No45,000$45,000$-------45,000$45,000$-------NoNo-------
Mike HoughIce Flyers (TOR)LW/RW201963-01-01CANYes197 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Miroslav IhnacakIce Flyers (TOR)LW/RW201962-01-01CZEYes175 Lbs5 ft11NoNoFree AgentNoNo12026-01-07FalseFalsePro & Farm32,000$32,000$3,200$3,200$No---------------------------Lien / Lien NHL
Paul MacDermidIce Flyers (TOR)C/RW201963-01-01CANYes205 Lbs6 ft1NoNoDraftNoNo12026-06-12FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Peter SundstromIce Flyers (TOR)LW/RW211961-01-01SWEYes180 Lbs6 ft0NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Richard ZemlakIce Flyers (TOR)C/RW201963-01-01CANYes190 Lbs6 ft2NoNoDraftNoNo12026-06-12FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Rick LanzIce Flyers (TOR)D211961-01-01CZEYes195 Lbs6 ft2NoNoTrade2026-06-17NoNo12025-05-27FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------Lien / Lien NHL
Rick TocchetIce Flyers (TOR)RW191964-01-01CANYes210 Lbs6 ft0NoNoTrade2026-05-10NoNo12026-03-25FalseFalsePro & Farm30,000$30,000$3,000$3,000$No---------------------------
Scott ArnielIce Flyers (TOR)C/LW/RW201962-01-01CANYes188 Lbs6 ft1NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Steve LudzikIce Flyers (TOR)C/LW211961-01-01CANYes185 Lbs5 ft11NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Tim WattersIce Flyers (TOR)D241959-01-01CANYes180 Lbs5 ft11NoNoFree AgentNoNo12025-12-12FalseFalsePro & Farm50,000$50,000$5,000$5,000$No---------------------------Lien / Lien NHL
Torrie RobertsonIce Flyers (TOR)LW201962-12-03NAYes100 Lbs4 ft0NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Ulrich HiemerIce Flyers (TOR)D201962-01-01GERYes190 Lbs5 ft11NoNoDraftNoNo62026-06-14FalseFalsePro & Farm30,000$30,000$3,000$3,000$No30,000$30,000$30,000$30,000$30,000$----30,000$30,000$30,000$30,000$30,000$----NoNoNoNoNo----
Vincent TremblayIce Flyers (TOR)G231959-01-01CANYes185 Lbs6 ft1NoNoDraftNoNo42026-03-17FalseFalsePro & Farm125,000$125,000$12,500$12,500$No125,000$125,000$125,000$------125,000$125,000$125,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2620.73184 Lbs5 ft113.0038,654$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rick Tocchet33032
230032
327032
4Mike AllisonScott ArnielChris Nilan10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135050
233050
3Tim Watters32050
40050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155005
2Rick Tocchet45005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155005
245005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155050
2Chris Nilan45050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155050
2Tim Watters45050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155050Tim Watters55050
24505045050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mike Allison55023
2Scott Arniel45023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tim Watters55032
245032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike AllisonChris Nilan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , , Rick Tocchet
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , , Tim Watters
Tirs de pénalité
, , , ,
Gardien
#1 : Vincent Tremblay, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , Rick Tocchet, Mike Allison,
Lignes de défense personnalisées en prolongation
, , , ,


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
TotalDomicile Visiteur
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3010
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
38 0 - 0%0$0$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 100,500$ 100,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
100,500$ 0$ 26 0

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




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

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

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

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

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