Icehogs
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Pierre-Luc Dionne | Morale : 40 | Moyenne d'Équipe : 64
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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
1Stefan Matteau (R)X100.007446767877777278677576646755474740720222900,000$
2Ryan Hartman (R)X100.007948737277658070667477706853485240710223900,000$
3Craig Cunningham (R)X100.008037777471648372657372676966623340700261850,000$
4Michael Chaput (R)X100.007144797669727175737266656855484040690242850,000$
5Tanner Richard (R)X100.007944707476587368717871666553484140690231900,000$
6Sam Reinhart (R)X100.006535767165707274798173545645436731680204990,000$
7Curtis Lazar (R)X100.006339807267676270696775606844445640670211525,000$
8Mikhail Grigorenko (R)X100.005829757366756866807775575946464740670223800,000$
9Rhett RakhshaniX100.006830727365727466777164646954522840660281800,000$
10Mattias Janmark (R)X100.006041836556737365717969526450494340650241775,000$
11Myles Bell (R)X100.006727715966656866657284506248483740650232700,000$
12Nick Paul (R)X100.006446806569656665646971556543434940640212800,000$
13Kurtis Gabriel (R)X100.007854776978577562576560555850504440630231700,000$
14Nikita Scherbak (R)X100.006429765779646265646370496442435540620204650,000$
15Ben Harpur (R)X100.007543767680795969477366735657445340710213900,000$
16Nick Mattson (R)X100.007134717671707360557665686167583440690251900,000$
17Mike Reilly (R)X100.006619737766777368566874666055474540680241900,000$
18Patrick Sieloff (R)X100.007236677769705968516557745250464240670221850,000$
19Duncan Siemens (R)X100.006935697072686360456456725349474640660232775,000$
20Julius Honka (R)X100.006944806167697262556262736344435840660204800,000$
21Philippe Myers (R)X100.006235787368586062476860685243427534640191500,000$
22Calle Andersson (R)X100.006721736657616168487053615444444140620223500,000$
23Jeremy Davies (R)X100.005836766856446173418353543744465840610202500,000$
Rayé
1Dillon Dube (R)X100.006834774775676560685774475640407040600182500,000$
2Patrick Russell (R)X100.004845686556717153606157415448493340570231500,000$
3Ross Johnston (R)X100.008757635680487352475157396048485640560221500,000$
4JJ. Piccinich (R)X100.007038575866455958446055564842425540550203450,000$
5Clark Bishop (R)X100.004935825759705343586449525542425440540202400,000$
6Jackson Cates (R)X100.004725756858646047595842515242436640540192500,000$
7Zach Whitecloud (R)X100.005629626460585952326242555044424440560201500,000$
MOYENNE D'ÉQUIPE100.00673774686865676459696459594946494064
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 Cannata100.00777475677077767074766765552840730
2Mackenzie Blackwood100.00736974716775697269737647436540690
Rayé
1Jack LaFontaine (R)100.00575363464064584647625440407140520
2Michael Giugovaz100.00495846555448614844536243435140510
MOYENNE D'ÉQUIPE100.0064646560586666595966654945544061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67668070378057CAN492700,000$


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)D211995-01-01Yes185 Lbs6 ft5NoNoNo3Pro & Farm900,000$900,000$0$0$No1,000,000$1,200,000$
Calle AnderssonIcehogs (Chi)D221994-01-01Yes211 Lbs6 ft2NoNoNo3Pro & Farm500,000$500,000$0$0$No575,000$650,000$
Clark BishopIcehogs (Chi)C201996-01-01Yes199 Lbs5 ft11NoNoNo2Pro & Farm400,000$400,000$0$0$No500,000$
Craig CunninghamIcehogs (Chi)LW261990-01-01Yes184 Lbs5 ft10NoNoNo1Pro & Farm850,000$850,000$0$0$No
Curtis LazarIcehogs (Chi)RW211995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm525,000$525,000$0$0$No
Dillon DubeIcehogs (Chi)RW181998-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Duncan SiemensIcehogs (Chi)D231993-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm775,000$775,000$0$0$No850,000$
JJ. PiccinichIcehogs (Chi)RW201996-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm450,000$450,000$0$0$No465,000$575,000$
Jack LaFontaineIcehogs (Chi)G181998-01-01Yes205 Lbs6 ft2NoNoNo4Pro & Farm300,000$300,000$0$0$No400,000$500,000$550,000$
Jackson CatesIcehogs (Chi)C191997-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Jeremy DaviesIcehogs (Chi)D201996-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Joe CannataIcehogs (Chi)G261990-01-01No200 Lbs6 ft1NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$
Julius HonkaIcehogs (Chi)D201996-01-01Yes180 Lbs5 ft11NoNoNo4Pro & Farm800,000$800,000$0$0$No850,000$950,000$1,000,000$
Kurtis GabrielIcehogs (Chi)RW231993-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm700,000$700,000$0$0$No
Mackenzie BlackwoodIcehogs (Chi)G201996-01-01No225 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Mattias JanmarkIcehogs (Chi)LW241992-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm775,000$775,000$0$0$No
Michael ChaputIcehogs (Chi)C241992-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No950,000$
Michael GiugovazIcehogs (Chi)G211995-01-01No185 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No600,000$
Mike ReillyIcehogs (Chi)D241992-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$No
Mikhail GrigorenkoIcehogs (Chi)LW221994-01-01Yes200 Lbs6 ft3NoNoNo3Pro & Farm800,000$800,000$0$0$No950,000$985,000$
Myles BellIcehogs (Chi)LW231993-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No800,000$
Nick MattsonIcehogs (Chi)D251991-01-01Yes189 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$No
Nick PaulIcehogs (Chi)LW211995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm800,000$800,000$0$0$No900,000$
Nikita ScherbakIcehogs (Chi)RW201996-01-01Yes192 Lbs6 ft2NoNoNo4Pro & Farm650,000$650,000$0$0$No750,000$775,000$925,000$
Patrick RussellIcehogs (Chi)RW231993-01-01Yes203 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Patrick SieloffIcehogs (Chi)D221994-01-01Yes192 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$0$0$No
Philippe MyersIcehogs (Chi)D191997-01-01Yes210 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$No
Rhett RakhshaniIcehogs (Chi)RW281988-01-01No190 Lbs5 ft10NoNoNo1Pro & Farm800,000$800,000$0$0$No
Ross JohnstonIcehogs (Chi)LW221994-01-01Yes235 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$No
Ryan HartmanIcehogs (Chi)C221994-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$
Sam ReinhartIcehogs (Chi)C201996-01-01Yes192 Lbs6 ft1NoNoNo4Pro & Farm990,000$990,000$0$0$No990,000$1,600,000$2,500,000$
Stefan MatteauIcehogs (Chi)LW221994-01-01Yes215 Lbs6 ft1NoNoNo2Pro & Farm900,000$900,000$0$0$No1,000,000$
Tanner RichardIcehogs (Chi)C231993-01-01Yes176 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$No
Zach WhitecloudIcehogs (Chi)D201996-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3421.82195 Lbs6 ft11.97685,735$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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 Billets3515
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
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,331,500$ 1,810,000$ 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