IceHogs
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Randell Miller | Morale : 50 | Moyenne d'Équipe : 67
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Statistiques d'Équipe


Directeur généralRandell Miller
Central Division
Western Conference
Rasmus Kupari
Ian Mitchell
Ryan Lomberg




Capacité de l'Aréna5,000
Assistance
5,000




24
19
43 / 55
Éspoirs28


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 Moyen
1Ryan Lomberg (A)94X100.00795589778449996141687272676767050770283832,000$
2Rasmus Kupari (R) (C)0XXX100.00755296708246795958696973646464050750231925,000$
3Darren Helm0XXX100.007852957081415556576569556262620507103611,250,000$
4Givani Smith (R)0XX100.00856182768133555540666955626262050710253760,000$
5Michael Sgarbossa0X100.00544581626258455265666662592540050670301775,000$
6Rocco Grimaldi0X100.00535282626058605365656756602540050660301750,000$
7Chris Terry0X100.00546180595872834936646552572540050650341750,000$
8Martin Frk0X100.00555980595868795036626653582540050650291750,000$
9Tanner Kero0XX100.00544480616058455165666552582540050650301750,000$
10Andrew Agozzino0XX100.00546380575678904565616546552540050640321775,000$
11Cole Schneider0X100.00526684565583974536606548552540050640321750,000$
12Andy Andreoff0XX100.00546080585671824736606646562540050630321762,500$
13Dysin Mayo61X100.00765393737955555840656855636363050730263969,000$
14Ian Mitchell (R) (A)0X100.00685196698059556240696855656565050730241925,000$
15Thomas Harley (R)0X100.00544480585858454636646455552540050640212925,000$
16Colin Theisen (R)0X100.00533882576458454636606545552540050620261750,000$
17Nicolas Beaudin0X100.00536381535478903936596342512540050610231925,000$
18Jakub Galvas (R)0X100.00526084545469804036606341522540050600243815,450$
Rayé
1Josh Dunne (R)0X100.00574576585758454765606644572540050620242830,420$
2Scott Reedy (R)0X100.00524983555658514365586539542540050590243869,500$
3Ty Smith0X100.00535083555758534336606441542540050600231925,000$
4Ryan Merkley (R)0X100.00564577565758454336636339532540050600221925,000$
MOYENNE D'ÉQUIPE100.0060538462646065504763665158364705066
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 Moyen
1Jonas Johansson100.0074655677786474757875763057050750273952,750$
2Michael Hutchinson100.0080655372747570777253753767050750331750,000$
Rayé
MOYENNE D'ÉQUIPE100.007765557576707276756476346205075
Nom du Coach 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
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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andrew AgozzinoIceHogs (CHI)C/LW321991-01-03No187 Lbs5 ft10NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Andy AndreoffIceHogs (CHI)LW/RW321991-05-17No200 Lbs6 ft2NoNoNo1Pro & Farm762,500$254,167$762,500$254,167$0$0$NoLien / Lien NHL
Chris TerryIceHogs (CHI)LW341989-04-07No191 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Cole SchneiderIceHogs (CHI)LW321990-08-26No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Colin TheisenIceHogs (CHI)D261997-04-24Yes187 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Darren HelmIceHogs (CHI)C/LW/RW361987-01-21No192 Lbs6 ft0NoNoNo1Pro & Farm1,250,000$416,667$1,250,000$416,667$0$0$NoLien / Lien NHL
Dysin MayoIceHogs (CHI)D261996-08-17No195 Lbs6 ft2NoNoNo3Pro & Farm969,000$323,000$969,000$323,000$0$0$No969,000$969,000$Lien / Lien NHL
Givani SmithIceHogs (CHI)LW/RW251998-02-27Yes216 Lbs6 ft2NoNoNo3Pro & Farm760,000$253,333$760,000$253,333$0$0$No760,000$760,000$Lien / Lien NHL
Ian MitchellIceHogs (CHI)D241999-01-18Yes173 Lbs5 ft11NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Jakub GalvasIceHogs (CHI)D241999-06-15Yes161 Lbs5 ft11NoNoNo3Pro & Farm815,450$271,817$815,450$271,817$0$0$No815,450$815,450$Lien / Lien NHL
Jonas JohanssonIceHogs (CHI)G271995-09-19No219 Lbs6 ft5NoNoNo3Pro & Farm952,750$317,583$952,750$317,583$0$0$No952,750$952,750$Lien / Lien NHL
Josh DunneIceHogs (CHI)C241998-12-08Yes204 Lbs6 ft4NoNoNo2Pro & Farm830,420$276,807$830,420$276,807$0$0$No830,420$Lien / Lien NHL
Martin FrkIceHogs (CHI)RW291993-10-05No210 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Michael HutchinsonIceHogs (CHI)G331990-03-02No192 Lbs6 ft3NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Michael SgarbossaIceHogs (CHI)C301992-07-25No179 Lbs6 ft0NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Nicolas BeaudinIceHogs (CHI)D231999-10-07No168 Lbs5 ft11NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Rasmus KupariIceHogs (CHI)C/LW/RW232000-03-15Yes200 Lbs6 ft2NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Rocco Grimaldi (Contrat à 1 Volet)IceHogs (CHI)C301993-02-08No180 Lbs5 ft6NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Ryan LombergIceHogs (CHI)LW281994-12-09No187 Lbs5 ft9NoNoNo3Pro & Farm832,000$277,333$832,000$277,333$0$0$No832,000$832,000$Lien / Lien NHL
Ryan MerkleyIceHogs (CHI)D222000-08-14Yes185 Lbs5 ft11NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Scott ReedyIceHogs (CHI)C241999-04-04Yes215 Lbs6 ft2NoNoNo3Pro & Farm869,500$289,833$869,500$289,833$0$0$No869,500$869,500$Lien / Lien NHL
Tanner KeroIceHogs (CHI)C/LW301992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Thomas HarleyIceHogs (CHI)D212001-08-19Yes190 Lbs6 ft3NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Ty SmithIceHogs (CHI)D232000-03-24No180 Lbs5 ft11NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2427.42191 Lbs6 ft01.58849,651$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryAndrew AgozzinoRasmus Kupari35023
2Darren HelmTanner KeroMartin Frk35032
3Cole SchneiderRocco GrimaldiAndy Andreoff25122
4Ryan LombergMichael SgarbossaGivani Smith5041
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HarleyIan Mitchell35113
2Nicolas BeaudinJakub Galvas35050
3Colin TheisenDysin Mayo30230
4Ian MitchellThomas Harley0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Darren HelmRasmus KupariRyan Lomberg65122
2Cole SchneiderTanner KeroChris Terry35122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HarleyIan Mitchell65005
2Nicolas BeaudinJakub Galvas35122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael SgarbossaRyan Lomberg50122
2Rasmus KupariTanner Kero50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HarleyIan Mitchell50122
2Colin TheisenDysin Mayo50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Lomberg50122Thomas HarleyIan Mitchell50122
2Rasmus Kupari50122Colin TheisenDysin Mayo50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael SgarbossaRyan Lomberg50140
2Rasmus KupariTanner Kero50140
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HarleyIan Mitchell50140
2Nicolas BeaudinJakub Galvas50140
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tanner KeroRasmus KupariDarren HelmThomas HarleyIan Mitchell
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tanner KeroRasmus KupariDarren HelmDysin MayoIan Mitchell
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Kupari, Ryan Lomberg, Givani SmithRasmus Kupari, Ryan LombergRasmus Kupari
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Thomas Harley, Ian Mitchell, Nicolas BeaudinThomas HarleyThomas Harley, Ian Mitchell
Tirs de Pénalité
Ryan Lomberg, Givani Smith, Martin Frk, Chris Terry, Rasmus Kupari
Gardien
#1 : Jonas Johansson, #2 : Michael Hutchinson
Lignes d'Attaque Perso. en Prol.
Rasmus Kupari, Ryan Lomberg, Martin Frk, Chris Terry, Cole Schneider, Darren Helm, Darren Helm, Michael Sgarbossa, Givani Smith, Rocco Grimaldi, Tanner Kero
Lignes de Défense Perso. en Prol.
Thomas Harley, Ian Mitchell, Nicolas Beaudin, Jakub Galvas, Dysin Mayo


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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
000.00%000.00%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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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
Capacité de l'Aréna35001500
Prix des Billets5025
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 19,641,620$ 19,641,620$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




IceHogs

# 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
1Arthur Kaliyev18728927556423625124725282435.07%115419722.4438337189671321341242.90%422.6936
2Tanner Kero188121130251138181789738131.76%53260613.8614122638112211550.67%131.9300
3Owen Tippett828815324116021006522040.00%36142517.391822403913427353.42%103.3811
4Rasmus Kupari24698126224914835339661915.83%152393716.01751238246914153.58%31.1412
5Ryan Lomberg17510010920991127627721147621.01%115243513.9149133931488343.78%21.7201

IceHogs

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Filip Gustavsson79641030.7965.3546572641520351049900.4297
2Craig Anderson50311540.9102.993012401501673983410.6005
3Jonas Johansson44251710.8923.832618001671542934500.0000
4Michael Hutchinson42172230.8863.842534401621423810010.5002
5Laurent Brossoit2114520.9062.9812670063671383300.0002

IceHogs

LigueDomicileVisiteur
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
2021826411023209234434804136400100534219315412870222038922416513992315132436060377330212246408178378012164878361715432068239.81%2917873.20%22688129153.29%686133351.46%1123202455.48%1827119118616031249647
20228241260553231327142412612010111601204041151404521153151210531355086310130868910272898282290037276699436816501732916.76%1784276.40%7665136748.65%758151749.97%566110351.31%1833116117906721333664
202382383604301294300-6412511023001721373541132502001122163-41882944797731011610074428581008959882122812106859917171532616.99%1223273.77%5731153947.50%726146249.66%565116648.46%1873120517296491340673
Total Saison Régulière24614373011115315301014516123872703411866476390123564608742664538126332153025424072262465634932268050199025982619850774229404584491053213725.75%59115274.28%342084419749.65%2170431250.32%2254429352.50%553435575380192539231984
Séries
2021149500000110822886200000713932633000003943-4181101882980004337304110131118162379128298240291137.93%441370.45%29218749.20%11621853.21%13828348.76%302190310110227113
2022514000001423-92020000059-431200000914-52142236005441145375552118477221107114.29%11281.82%1388743.68%5010647.17%306844.12%9759130417736
Total Séries191090000012410519106400000764828945000004857-92012421033400547413155637186170163563205320350361233.33%551572.73%313027447.45%16632451.23%16835147.86%399249440152304150

IceHogs

# 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
1Arthur Kaliyev19322153184321167542.67%740621.42538910112141.54%32.6000
2Owen Tippett149172616015123228.13%722215.90235401112066.67%02.3400
3Nate Thompson141016265019143132.26%625518.27123510110056.02%22.0300
4Mark Pysyk148172513220162532.00%1435625.4611220110000.00%01.4000
5Nicolas Beaudin191013239013193033.33%2239220.6821340111010.00%11.1700

IceHogs

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Filip Gustavsson149500.7835.907930078360190300.0000
2Laurent Brossoit51400.8754.54304002318498000.0000