IceHogs

GP: 26 | W: 1 | L: 23 | OTL: 2 | P: 4
GF: 42 | GA: 132 | PP%: 11.34% | PK%: 75.93%
DG: Joanick Boilard | Morale : 31 | Moyenne d'Équipe : 62
Prochain matchs #392 vs Griffins
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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 SP
1Thomas Di PauliX100.005240795859797357635655515669655936570
2Ryan CollinsX100.007737875493918753305251594565636238630
3Josh JacobsX100.006236915880867157305453564565637438600
4Bobby SanguinettiX100.006436905481797353305250554579716456600
Rayé
MOYENNE D'ÉQUIPE100.00643787567884765538545255487066654260
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
1J-F Berube100.00737876737271737271737275814556710
Rayé
MOYENNE D'ÉQUIPE100.0073787673727173727173727581455671
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins71706360817571USA5251,600,000$


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'ÉquipePOS GP 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
1Thomas Di PauliIceHogs (Chi)C2616824-1528105239115337013.91%2052220.0923516570001101051.61%6200000.9200011311
2Ryan CollinsIceHogs (Chi)D26178-145407633257134.00%4337914.580113800007000.00%000000.4200000010
3Josh JacobsIceHogs (Chi)D26134-93003920101510.00%292298.830000000000000.00%000000.3500000000
Stats d'équipe Total ou en Moyenne78181836-381121016792150418812.00%92113114.5024619650001181051.61%6200000.6400011321
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Bobby SanguinettiIceHogs (Chi)D311988-02-29No188 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm300,000$0$0$NoLien
J-F BerubeIceHogs (Chi)G271991-07-13No177 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Josh JacobsIceHogs (Chi)D231996-02-15No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Ryan CollinsIceHogs (Chi)D231996-05-06No216 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Thomas Di PauliIceHogs (Chi)C251994-04-29No188 Lbs5 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
525.80194 Lbs6 ft02.60390,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Thomas Di Pauli40122
230122
320122
4Thomas Di Pauli10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Ryan Collins30122
3Josh Jacobs20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Thomas Di Pauli60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan Collins40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Thomas Di Pauli40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan Collins40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Ryan Collins40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Thomas Di Pauli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan Collins40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas Di Pauli
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas Di Pauli
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Jacobs, , Josh Jacobs,
Tirs de Pénalité
, , , Thomas Di Pauli,
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
1Admirals40400000920-111010000037-430300000613-700.0009162500141414193187165204717050387817211.76%19573.68%013760822.53%20884124.73%9839125.06%402265888189278111
2Bears1010000006-61010000006-60000000000000.00000000141414119187165204752211211200.00%6183.33%013760822.53%20884124.73%9839125.06%402265888189278111
3Griffins20200000610-41010000024-21010000046-200.00061117101414141601871652047622215318112.50%4175.00%013760822.53%20884124.73%9839125.06%402265888189278111
4Monsters30200100415-111000010034-120200000111-1010.16747110014141415918716520471243025591218.33%10190.00%013760822.53%20884124.73%9839125.06%402265888189278111
5Moose11000000321110000003210000000000021.00035800141414137187165204734131122500.00%20100.00%013760822.53%20884124.73%9839125.06%402265888189278111
6Rampage40400000122-2120200000112-1120200000010-1000.0001120014141416118716520471955346601317.69%21671.43%013760822.53%20884124.73%9839125.06%402265888189278111
7Roadrunners20100001710-30000000000020100001710-310.25071219001414141431871652047942118269222.22%8275.00%013760822.53%20884124.73%9839125.06%402265888189278111
8Stars20200000211-91010000014-31010000017-600.000235001414141361871652047101322031500.00%10190.00%013760822.53%20884124.73%9839125.06%402265888189278111
Total261230010142132-9012110001002056-3614013000012276-5440.077427211410141414156018716520471096305245428971111.34%1082675.93%013760822.53%20884124.73%9839125.06%402265888189278111
10Wild30300000311-82020000027-51010000014-300.00035800141414167187165204710824282910330.00%13469.23%013760822.53%20884124.73%9839125.06%402265888189278111
11Wolves40400000725-1820200000510-520200000215-1300.000712190014141418518716520471563932811616.25%15566.67%013760822.53%20884124.73%9839125.06%402265888189278111
_Since Last GM Reset261230010142132-9012110001002056-3614013000012276-5440.077427211410141414156018716520471096305245428971111.34%1082675.93%013760822.53%20884124.73%9839125.06%402265888189278111
_Vs Conference19019000002899-71909000001444-3010010000001455-4100.000284876101414141402187165204779222017931069811.59%822273.17%013760822.53%20884124.73%9839125.06%402265888189278111
_Vs Division6014000001435-2120600000510-540800000925-1600.0001424380014141411281871652047250605010725312.00%23769.57%013760822.53%20884124.73%9839125.06%402265888189278111

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
264L174272114560109630524542810
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
26123010142132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1211001002056
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1401300012276
Derniers 10 Matchs
WLOTWOTL SOWSOL
0100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
971111.34%1082675.93%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
18716520471414141
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
13760822.53%20884124.73%9839125.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
402265888189278111


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
3 - 2019-09-042IceHogs1Monsters6LSommaire du Match
4 - 2019-09-0510IceHogs0Monsters5LSommaire du Match
11 - 2019-09-1250Stars4IceHogs1LSommaire du Match
12 - 2019-09-1362Bears6IceHogs0LSommaire du Match
17 - 2019-09-1881IceHogs3Roadrunners5LSommaire du Match
18 - 2019-09-1995IceHogs4Roadrunners5LXXSommaire du Match
22 - 2019-09-23106Rampage6IceHogs0LSommaire du Match
25 - 2019-09-26120Monsters4IceHogs3LXSommaire du Match
26 - 2019-09-27135Moose2IceHogs3WSommaire du Match
31 - 2019-10-02149IceHogs3Admirals5LSommaire du Match
32 - 2019-10-03160Wild6IceHogs2LSommaire du Match
33 - 2019-10-04170IceHogs1Wild4LSommaire du Match
36 - 2019-10-07175Wild1IceHogs0LSommaire du Match
38 - 2019-10-09188IceHogs2Admirals3LSommaire du Match
39 - 2019-10-10200IceHogs1Wolves7LSommaire du Match
43 - 2019-10-14216IceHogs4Griffins6LSommaire du Match
45 - 2019-10-16231IceHogs1Stars7LSommaire du Match
46 - 2019-10-17247IceHogs0Rampage7LSommaire du Match
49 - 2019-10-20254IceHogs0Rampage3LSommaire du Match
52 - 2019-10-23272Wolves5IceHogs3LSommaire du Match
53 - 2019-10-24280IceHogs1Admirals5LSommaire du Match
54 - 2019-10-25294IceHogs1Wolves8LSommaire du Match
60 - 2019-10-31326Admirals7IceHogs3LSommaire du Match
61 - 2019-11-01337Rampage6IceHogs1LSommaire du Match
66 - 2019-11-06356Griffins4IceHogs2LSommaire du Match
67 - 2019-11-07367Wolves5IceHogs2LSommaire du Match
73 - 2019-11-13392IceHogs-Griffins-
74 - 2019-11-14407Stars-IceHogs-
75 - 2019-11-15420Griffins-IceHogs-
78 - 2019-11-18431Admirals-IceHogs-
80 - 2019-11-20443IceHogs-Wolves-
85 - 2019-11-25466IceHogs-Wild-
87 - 2019-11-27483Wolves-IceHogs-
88 - 2019-11-28495IceHogs-Wolves-
90 - 2019-11-30507IceHogs-Griffins-
92 - 2019-12-02516Admirals-IceHogs-
94 - 2019-12-04527IceHogs-Wild-
96 - 2019-12-06550Wild-IceHogs-
101 - 2019-12-11569IceHogs-Stars-
103 - 2019-12-13589IceHogs-Rampage-
106 - 2019-12-16602IceHogs-Rampage-
108 - 2019-12-18611Griffins-IceHogs-
109 - 2019-12-19627IceHogs-Wolves-
111 - 2019-12-21637IceHogs-Wild-
115 - 2019-12-25663Moose-IceHogs-
116 - 2019-12-26676Wild-IceHogs-
122 - 2020-01-01691Wolves-IceHogs-
123 - 2020-01-02706IceHogs-Admirals-
127 - 2020-01-06720Penguins-IceHogs-
129 - 2020-01-08730Roadrunners-IceHogs-
130 - 2020-01-09744Roadrunners-IceHogs-
133 - 2020-01-12759Stars-IceHogs-
137 - 2020-01-16785Wild-IceHogs-
138 - 2020-01-17800Rampage-IceHogs-
141 - 2020-01-20810IceHogs-Griffins-
144 - 2020-01-23833IceHogs-Bears-
145 - 2020-01-24843IceHogs-Penguins-
147 - 2020-01-26847IceHogs-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30873Griffins-IceHogs-
158 - 2020-02-06911IceHogs-Moose-
159 - 2020-02-07924IceHogs-Moose-
164 - 2020-02-12948IceHogs-Griffins-
165 - 2020-02-13960Monsters-IceHogs-
166 - 2020-02-14970Stars-IceHogs-
169 - 2020-02-17981Wolves-IceHogs-
171 - 2020-02-19989IceHogs-Admirals-
172 - 2020-02-20998Admirals-IceHogs-
176 - 2020-02-241023Admirals-IceHogs-
179 - 2020-02-271045Griffins-IceHogs-
180 - 2020-02-281056Wolves-IceHogs-
182 - 2020-03-011060Rampage-IceHogs-
185 - 2020-03-041080IceHogs-Stars-
186 - 2020-03-051094IceHogs-Stars-
189 - 2020-03-081106IceHogs-Admirals-
193 - 2020-03-121132IceHogs-Wild-
194 - 2020-03-131149Admirals-IceHogs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
604,239$ 19,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 10,427$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 8,348$ 1,018,456$




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
14261230010142132-9012110001002056-3614013000012276-544427211410141414156018716520471096305245428971111.34%1082675.93%013760822.53%20884124.73%9839125.06%402265888189278111
Total Saison Régulière261230010142132-9012110001002056-3614013000012276-544427211410141414156018716520471096305245428971111.34%1082675.93%013760822.53%20884124.73%9839125.06%402265888189278111