IceHogs
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Pierre-Luc Dionne | Morale : 1 | Moyenne d'Équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Martins KarsumsX100.007333747472727372758475626870642347720291500,000$
2Michael Chaput (R)X100.006944787467706973697067637049464440680231700,000$
3Tanner Richard (R) (A)X100.007944707274557064677670666646454545670222700,000$
4Teemu Pulkkinen (R)X100.006524737470756876736569607646454855670231700,000$
5Rhett RakhshaniX100.006630717266707367767066667051503155660271850,000$
6Oliver Bjorkstrand (R)X100.006730846967687665606386476345427045660202700,000$
7Mikhail Grigorenko (R)X100.005529737163736763797573535643435155650211900,000$
8Mattias Janmark (R)X100.005841826355717166697771496249484755650232675,000$
9Sam Reinhart (R)X100.005835736661676972767971505243417531650191500,000$
10Curtis Lazar (R)X100.006039787064646368656573566642426123640202500,000$
11Myles Bell (R)X100.006526695765636763636983486147474224630223700,000$
12Nick Paul (R)X100.006244786268626463636569536242425623620203700,000$
13Petter Granberg (R)X100.008134787575816971537664735754454526720232650,000$
14Ben Harpur (R)X100.007443737378775565426861705146425934680204700,000$
15Nick Mattson (R)X100.007034697468687162527564685961553733670242800,000$
16Mike Reilly (R)X100.006519717465757167536772635748445045660232800,000$
17Patrick Sieloff (R)X100.006936657466675665486258714847434645650212750,000$
18Julius Honka (R)X100.006744775662677059525960706041416452630191500,000$
Rayé
1Stefan Matteau (R)X100.007245757675757075647373616448445219690213800,000$
2Kurtis Gabriel (R)X100.007654746676567559536261515947474820610222600,000$
3Nikita Scherbak (R)X100.006129745177615962596167436141416032580191500,000$
4Patrick Russell (R)X100.004644676453696950596054405347483719550222500,000$
5Ross Johnston (R)X100.008154615475467151454955385947476520540212500,000$
6JJ. Piccinich (R)X100.006736555762435856435853534741416219530191500,000$
7Clark Bishop (R)X100.004532815555675042576247515341416219520191500,000$
8Duncan Siemens (R)X100.006935676871666158426155715046445019640221800,000$
9Calle Andersson (R)X100.006619716355596066476852605243434620600211600,000$
10Zach Whitecloud (R)X100.005527606258575751296039534843415017540192500,000$
MOYENNE D'ÉQUIPE100.00663672676766666358676557594745513363
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 SP
1Joe Cannata100.00747472646974766671736660523153700
2Mackenzie Blackwood (R)100.00706672686373656966707443417241660
Rayé
1Michael Giugovaz100.00475745535145574643515942425819490
MOYENNE D'ÉQUIPE100.0064666362616466606065664845543862
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67648070378057CAN483700,000$


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire 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
Ben HarpurIceHogs (Chi)D201995-01-01Yes185 Lbs6 ft5NoNoNo4Pro & Farm700,000$0$0$No900,000$1,000,000$1,200,000$
Calle AnderssonIceHogs (Chi)D211994-01-01Yes211 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Clark BishopIceHogs (Chi)C191996-01-01Yes199 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Curtis LazarIceHogs (Chi)C201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No525,000$
Duncan SiemensIceHogs (Chi)D221993-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
JJ. PiccinichIceHogs (Chi)RW191996-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Joe CannataIceHogs (Chi)G251990-01-01No200 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$No
Julius HonkaIceHogs (Chi)D191996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Kurtis GabrielIceHogs (Chi)RW221993-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No700,000$
Mackenzie BlackwoodIceHogs (Chi)G191996-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Martins KarsumsIceHogs (Chi)RW291986-01-01No198 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Mattias JanmarkIceHogs (Chi)LW231992-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm675,000$0$0$No775,000$
Michael ChaputIceHogs (Chi)C231992-01-01Yes197 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Michael GiugovazIceHogs (Chi)G201995-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Mike ReillyIceHogs (Chi)D231992-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$
Mikhail GrigorenkoIceHogs (Chi)C211994-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
Myles BellIceHogs (Chi)LW221993-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$800,000$
Nick MattsonIceHogs (Chi)D241991-01-01Yes189 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No900,000$
Nick PaulIceHogs (Chi)LW201995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Nikita ScherbakIceHogs (Chi)RW191996-01-01Yes192 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Oliver BjorkstrandIceHogs (Chi)RW201995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No900,000$
Patrick RussellIceHogs (Chi)RW221993-01-01Yes203 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Patrick SieloffIceHogs (Chi)D211994-01-01Yes192 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No850,000$
Petter GranbergIceHogs (Chi)D231992-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No650,000$
Rhett RakhshaniIceHogs (Chi)RW271988-01-01No190 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$No
Ross JohnstonIceHogs (Chi)LW211994-01-01Yes235 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sam ReinhartIceHogs (Chi)RW191996-01-01Yes192 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Stefan MatteauIceHogs (Chi)LW211994-01-01Yes215 Lbs6 ft1NoNoNo3Pro & Farm800,000$0$0$No900,000$1,000,000$
Tanner RichardIceHogs (Chi)C221993-01-01Yes176 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No900,000$
Teemu PulkkinenIceHogs (Chi)LW231992-01-01Yes183 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Zach WhitecloudIceHogs (Chi)D191996-01-01Yes209 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3121.55195 Lbs6 ft11.71643,548$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenMichael ChaputMartins Karsums40122
2Mattias JanmarkTanner RichardOliver Bjorkstrand30122
3Myles BellMikhail GrigorenkoRhett Rakhshani20122
4Nick PaulCurtis LazarSam Reinhart10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur40122
2Nick MattsonMike Reilly30122
3Patrick SieloffJulius Honka20122
4Petter GranbergBen Harpur10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenMichael ChaputMartins Karsums60122
2Mattias JanmarkTanner RichardOliver Bjorkstrand40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martins KarsumsMichael Chaput60122
2Tanner RichardTeemu Pulkkinen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Martins Karsums60122Petter GranbergBen Harpur60122
2Michael Chaput40122Nick MattsonMike Reilly40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martins KarsumsMichael Chaput60122
2Tanner RichardTeemu Pulkkinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenMichael ChaputMartins KarsumsPetter GranbergBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenMichael ChaputMartins KarsumsPetter GranbergBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rhett Rakhshani, Mikhail Grigorenko, Sam ReinhartRhett Rakhshani, Mikhail GrigorenkoSam Reinhart
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Sieloff, Julius Honka, Nick MattsonPatrick SieloffJulius Honka, Nick Mattson
Tirs de Pénalité
Martins Karsums, Michael Chaput, Tanner Richard, Teemu Pulkkinen, Oliver Bjorkstrand
Gardien
#1 : Mackenzie Blackwood, #2 : Joe Cannata


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
Capacité20001000
Prix des Billets4020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,995,000$ 1,887,500$ 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$ 0 0$ 0$




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