IceHogs

GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 19 | GA: 24 | PP%: 22.22% | PK%: 82.61%
DG: Joanick Boilard | Morale : 48 | Moyenne d'Équipe : 64
Prochain matchs #105 vs Rampage
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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
1Sammy BlaisXX100.007540915881726256525758596165635651590
2Thomas Di PauliX100.005240795859797357635655515669655950570
3Ryan CollinsX100.007737875493918753305251594565636250630
4Connor CliftonX100.006644816067886859306054634667645651620
5Josh JacobsX100.006236915880867157305453564565637450600
6Bobby SanguinettiX100.006436905481797353305250554579716451600
Rayé
MOYENNE D'ÉQUIPE100.00663987577783725639555457506865625160
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
1Collin Delia100.00808078827978807978807969734751760
2J-F Berube100.00737876737271737271737275814551710
Rayé
MOYENNE D'ÉQUIPE100.0077797778767577767577767277465174
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)C6628440171639154315.38%712120.2400048000031048.39%3100001.3200000300
2Ryan CollinsIceHogs (Chi)D61671140225106510.00%79916.611012500002000.00%000001.4000000020
3Sammy BlaisIceHogs (Chi)LW/RW11011002040125.00%01919.3200012000030011.11%900001.0400000000
4Josh JacobsIceHogs (Chi)D6000-4801777340.00%76911.530001200001000.00%000000.0000000002
5Connor CliftonIceHogs (Chi)D1000-100344010.00%02626.350004500002000.00%000000.0000000000
6Bobby SanguinettiIceHogs (Chi)D1000-120020000.00%12323.980000100002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne2188160280613464245412.50%2235917.1410112260000151040.00%4000000.8900000322
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
1Collin DeliaIceHogs (Chi)10100.8004.0060004200000.000010000
Stats d'équipe Total ou en Moyenne10100.8004.0060004200000.000010000


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
Collin DeliaIceHogs (Chi)G251994-06-20No208 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Connor CliftonIceHogs (Chi)D241995-04-28No175 Lbs5 ft11NoNoNo4Avec 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
Sammy BlaisIceHogs (Chi)LW/RW231996-06-17No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$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
825.13195 Lbs6 ft02.88381,250$



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
1Admirals1010000024-21010000024-20000000000000.00022400946018607662033139212150.00%20100.00%06516140.37%7721935.16%329334.41%13197163426528
2Comets11000000651000000000001100000065121.000612180094603960766205178273266.67%4250.00%06516140.37%7721935.16%329334.41%13197163426528
3Griffins1010000013-21010000013-20000000000000.00011200946014607662039141215000.00%60100.00%06516140.37%7721935.16%329334.41%13197163426528
4Rampage1010000014-31010000014-30000000000000.000123009460196076620208615400.00%30100.00%06516140.37%7721935.16%329334.41%13197163426528
Total624000001924-5413000001015-52110000099040.3331934530094601986076620232695312718422.22%23482.61%26516140.37%7721935.16%329334.41%13197163426528
6Wolves21100000981110000006421010000034-120.500917260094601086076620892718499111.11%8275.00%26516140.37%7721935.16%329334.41%13197163426528
_Since Last GM Reset624000001924-5413000001015-52110000099040.3331934530094601986076620232695312718422.22%23482.61%26516140.37%7721935.16%329334.41%13197163426528
_Vs Conference624000001924-5413000001015-52110000099040.3331934530094601986076620232695312718422.22%23482.61%26516140.37%7721935.16%329334.41%13197163426528
_Vs Division3240000015132113000006422110000099040.667152944009460147607662014034267612325.00%12466.67%26516140.37%7721935.16%329334.41%13197163426528

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L4193453198232695312700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400001924
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001015
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000099
Derniers 10 Matchs
WLOTWOTL SOWSOL
240000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18422.22%23482.61%2
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
60766209460
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
6516140.37%7721935.16%329334.41%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13197163426528


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
2 - 2019-09-0311Wolves4IceHogs6WSommaire du Match
4 - 2019-09-0531IceHogs6Comets5WSommaire du Match
7 - 2019-09-0849Rampage4IceHogs1LSommaire du Match
8 - 2019-09-0962IceHogs3Wolves4LSommaire du Match
10 - 2019-09-1176Admirals4IceHogs2LSommaire du Match
12 - 2019-09-1394Griffins3IceHogs1LSommaire du Match
13 - 2019-09-14105IceHogs-Rampage-
14 - 2019-09-15115IceHogs-Griffins-
17 - 2019-09-18132Comets-IceHogs-
19 - 2019-09-20151IceHogs-Admirals-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 30,500$ 0$ 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$ 9 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