IceHogs

GP: 46 | W: 5 | L: 38 | OTL: 3 | P: 13
GF: 77 | GA: 237 | PP%: 12.35% | PK%: 72.68%
DG: Joanick Boilard | Morale : 22 | Moyenne d'Équipe : 60
Prochain matchs #691 vs Wolves
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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 PauliX100.005240795859797357635655515669655931560
2Ryan CollinsX100.007737875493918753305251594565636236630
3Josh JacobsX100.006236915880867157305453564565637436600
4Bobby SanguinettiX100.006436905481797353305250554579716462600
Rayé
MOYENNE D'ÉQUIPE100.00643787567884765538545255487066654160
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
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'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
1Thomas Di PauliIceHogs (Chi)C46251338-365210113902136915911.74%4091419.884610381040001112053.77%10600010.8301011521
2Dmytro TimashovChicago BlackhawksLW/RW3381018540204578156510.26%362318.88314171220000353051.28%11700000.5814000111
3Ryan CollinsIceHogs (Chi)D4631114-31895128504810246.25%6867414.6701151400009010.00%000000.4100100022
4Jared McCannChicago BlackhawksC/LW154593175212527111414.81%419412.960223380001361056.22%21700000.9301001111
5Josh JacobsIceHogs (Chi)D36189-9420532917295.88%333198.890000000000000.00%000000.5600000000
Stats d'équipe Total ou en Moyenne176414788-682042033523938310727110.70%148272615.4971017632800002926154.32%44000010.6516112765
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 Type Salaire Actuel Cap 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
Bobby SanguinettiIceHogs (Chi)D311988-02-29No188 Lbs6 ft3NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Josh JacobsIceHogs (Chi)D231996-02-15No200 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Ryan CollinsIceHogs (Chi)D231996-05-06No216 Lbs6 ft5NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Thomas Di PauliIceHogs (Chi)C251994-04-29No188 Lbs5 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
425.50198 Lbs6 ft02.75300,000$



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
320122
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
, , ,
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
1Admirals606000001029-1930300000416-1230300000613-700.0001018280025282421163453103601325180681102328.70%34779.41%0279106426.22%380147425.78%19369027.97%7194771563336491196
2Bears1010000006-61010000006-60000000000000.000000002528242193453103601352211211200.00%6183.33%0279106426.22%380147425.78%19369027.97%7194771563336491196
3Griffins623000012124-3321000001211130200001913-450.4172137581025282422003453103601319057399717529.41%16381.25%0279106426.22%380147425.78%19369027.97%7194771563336491196
4Monsters30200100415-111000010034-120200000111-1010.167471100252824259345310360131243025591218.33%10190.00%0279106426.22%380147425.78%19369027.97%7194771563336491196
5Moose2200000010642200000010640000000000041.00010172700252824296345310360137025174210110.00%5180.00%0279106426.22%380147425.78%19369027.97%7194771563336491196
6Rampage60600000235-3320200000112-1140400000123-2200.00023500252824293345310360132788364941915.26%301066.67%0279106426.22%380147425.78%19369027.97%7194771563336491196
7Roadrunners20100001710-30000000000020100001710-310.250712190025282424334531036013942118269222.22%8275.00%0279106426.22%380147425.78%19369027.97%7194771563336491196
8Stars40400000226-2420200000111-1020200000115-1400.0002350025282426834531036013210594272900.00%21671.43%0279106426.22%380147425.78%19369027.97%7194771563336491196
Total465380010277237-16021416001004099-59251220000237138-101130.1417713220911252824210213453103601318895474247761622012.35%1945372.68%0279106426.22%380147425.78%19369027.97%7194771563336491196
10Wild80800000839-3140400000315-1240400000524-1900.0008132100252824216134531036013310847411027414.81%351168.57%0279106426.22%380147425.78%19369027.97%7194771563336491196
11Wolves817000001347-3430300000618-1251400000729-2220.12513223501252824216634531036013310876515534411.76%291162.07%0279106426.22%380147425.78%19369027.97%7194771563336491196
_Since Last GM Reset465380010277237-16021416001004099-59251220000237138-101130.1417713220911252824210213453103601318895474247761622012.35%1945372.68%0279106426.22%380147425.78%19369027.97%7194771563336491196
_Vs Conference383340000156200-14417215000002783-56211190000129117-8870.09256961521125282428043453103601315494503526381291612.40%1654870.91%0279106426.22%380147425.78%19369027.97%7194771563336491196
_Vs Division10322000012057-3732900000618-127113000011439-2570.350203454012528242209345310360134041088318143613.95%371364.86%0279106426.22%380147425.78%19369027.97%7194771563336491196

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4613L1771322091021188954742477611
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
46538010277237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2141601004099
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
25122000237138
Derniers 10 Matchs
WLOTWOTL SOWSOL
280000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1622012.35%1945372.68%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
345310360132528242
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
279106426.22%380147425.78%19369027.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
7194771563336491196


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 - 2019-11-13392IceHogs2Griffins3LSommaire du Match
74 - 2019-11-14407Stars7IceHogs0LSommaire du Match
75 - 2019-11-15420Griffins3IceHogs5WSommaire du Match
78 - 2019-11-18431Admirals7IceHogs0LSommaire du Match
80 - 2019-11-20443IceHogs2Wolves6LSommaire du Match
85 - 2019-11-25466IceHogs2Wild8LSommaire du Match
87 - 2019-11-27483Wolves8IceHogs1LSommaire du Match
88 - 2019-11-28495IceHogs1Wolves0WSommaire du Match
90 - 2019-11-30507IceHogs3Griffins4LXXSommaire du Match
92 - 2019-12-02516Admirals2IceHogs1LSommaire du Match
94 - 2019-12-04527IceHogs1Wild5LSommaire du Match
96 - 2019-12-06550Wild4IceHogs1LSommaire du Match
101 - 2019-12-11569IceHogs0Stars8LSommaire du Match
103 - 2019-12-13589IceHogs1Rampage7LSommaire du Match
106 - 2019-12-16602IceHogs0Rampage6LSommaire du Match
108 - 2019-12-18611Griffins4IceHogs5WSommaire du Match
109 - 2019-12-19627IceHogs2Wolves8LSommaire du Match
111 - 2019-12-21637IceHogs1Wild7LSommaire du Match
115 - 2019-12-25663Moose4IceHogs7WSommaire du Match
116 - 2019-12-26676Wild4IceHogs0LSommaire du Match
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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
996,108$ 12,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 14,687$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 75 8,309$ 623,175$




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
14465380010277237-16021416001004099-59251220000237138-101137713220911252824210213453103601318895474247761622012.35%1945372.68%0279106426.22%380147425.78%19369027.97%7194771563336491196
Total Saison Régulière465380010277237-16021416001004099-59251220000237138-101137713220911252824210213453103601318895474247761622012.35%1945372.68%0279106426.22%380147425.78%19369027.97%7194771563336491196