Connexion

Icehogs
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Patrick Beaudry | Morale : 75 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPatrick Beaudry
EntraîneurJoel Bouchard
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro16
Équipe Mineure20
Limite contact 36 / 50
Espoirs61


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique192-149-35 (0.511%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)13-13
Coupe Stanley0


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
1Andrew AgozzinoXX100.005338936668776969716869746089823350003321,200,000$
2Andrew MangiapaneXXX100.005539946667796470567071686477754550002821,700,000$
3Christian FischerXXX100.009379636783888471527072736677746550002731,930,000$
4Carl GrundstromXX100.008064746675926871587173706174756750002611,000,000$
5Jakub Lauko (R)XXX100.0051458967687071685266676356697158500X02411,007,000$
6Nolan FooteX100.007661737681818379627172737167737350002331,800,000$
7Peyton Krebs (R)XX100.00625383787681897873787467726570885000231975,000$
8Jesse Ylonen (R)XX100.00614592797283878167777672726769785000241900,000$
9Joey LaleggiaX100.00523794646692926930696871489084415000321850,000$
10Slater KoekkoekX100.007650796779775070307069755382787050003012,100,000$
11Jacob PaquetteX100.00645385748782806930656369656769505000251900,000$
12Brayden Pachal (R)X100.0075716676847483813074737867707142500X02412,490,000$
13Domenick Fensore (R)X100.00565282816575757730726977676570735000221850,000$
14Justin Barron (R)X100.00685086768085817930777279696571785000222900,000$
Rayé
MOYENNE D’ÉQUIPE100.0066538272758177744871717264737462500
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 SPÂgeContratSalaire
1Philippe Desrosiers100.007574737675767776767574818538500X02821,600,000$
2Nico Daws (R)100.0085838184909093909090866772715000231850,000$
Rayé
MOYENNE D’ÉQUIPE100.008079778083838583838380747955500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard76666880797471CAN5011,000,000$


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Andrew AgozzinoIcehogs (CHI)C/LW331991-01-03No187 Lbs5 ft10NoNoYesNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien
Andrew MangiapaneIcehogs (CHI)C/LW/RW281996-04-04No184 Lbs5 ft10NoNoNoNo2Pro & Farm1,700,000$0$0$No1,700,000$Lien
Brayden PachalIcehogs (CHI)D241999-08-23 16:08:43Yes204 Lbs6 ft1NoYesNoNo1Pro & Farm2,490,000$0$0$NoLien / Lien NHL
Carl GrundstromIcehogs (CHI)LW/RW261997-12-01No201 Lbs6 ft0NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Christian FischerIcehogs (CHI)C/LW/RW271997-04-15No214 Lbs6 ft2NoNoNoNo3Pro & Farm1,930,000$0$0$No1,930,000$1,930,000$Lien / Lien NHL
Domenick FensoreIcehogs (CHI)D222001-09-07 14:44:09Yes150 Lbs5 ft7NoNoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Jacob PaquetteIcehogs (CHI)D251999-05-26 14:18:49No200 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Jakub LaukoIcehogs (CHI)C/LW/RW242000-03-28 08:53:08Yes169 Lbs6 ft0NoYesNoNo1Pro & Farm1,007,000$0$0$NoLien / Lien NHL
Jesse YlonenIcehogs (CHI)LW/RW241999-10-03 14:01:31Yes190 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Joey LaleggiaIcehogs (CHI)D321992-06-24No182 Lbs5 ft9NoNoYesNo1Pro & Farm850,000$0$0$NoLien
Justin BarronIcehogs (CHI)D222001-11-15 14:49:26Yes201 Lbs6 ft2NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Nico DawsIcehogs (CHI)G232000-12-22 10:53:25Yes205 Lbs6 ft4NoNoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Nolan FooteIcehogs (CHI)LW232000-11-29 15:59:27No196 Lbs6 ft3NoNoNoNo3Pro & Farm1,800,000$0$0$No1,800,000$1,800,000$Lien / Lien NHL
Peyton KrebsIcehogs (CHI)C/LW232001-01-26 13:56:47Yes187 Lbs6 ft0NoNoNoNo1Pro & Farm975,000$0$0$NoLien / Lien NHL
Philippe DesrosiersIcehogs (CHI)G281995-08-16No196 Lbs6 ft1NoYesNoNo2Pro & Farm1,600,000$0$0$No1,600,000$Lien
Slater KoekkoekIcehogs (CHI)D301994-02-18No194 Lbs6 ft2NoNoYesNo1Pro & Farm2,100,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1625.88191 Lbs6 ft01.501,315,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
136014
2Jesse Ylonen34023
3Peyton Krebs20023
4Andrew AgozzinoAndrew Mangiapane10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brayden Pachal36032
2Domenick FensoreJustin Barron34032
3Slater Koekkoek20122
4Justin Barron10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160005
2Jesse Ylonen40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick Fensore60014
2Justin BarronBrayden Pachal40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrew Agozzino50050
250050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreJustin Barron50050
2Brayden Pachal50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrew Agozzino50050Domenick FensoreJustin Barron50050
250050Brayden Pachal50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreJustin Barron50122
2Brayden Pachal50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin Barron
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrew AgozzinoJustin Barron
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , , Peyton Krebs
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Domenick Fensore, Justin BarronDomenick Fensore, Brayden Pachal
Tirs de pénalité
, , , Jesse Ylonen,
Gardien
#1 : Nico Daws, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Jesse Ylonen, Jesse Ylonen, , Peyton Krebs, , Andrew Agozzino
Lignes de défense personnalisées en prolongation
Brayden Pachal, , Domenick Fensore, , Slater Koekkoek


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
TotalDomicileVisiteur
# 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%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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 billets4530
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,105,200$ 2,105,200$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Icehogs Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Julien Gauthier38216214831062272947518100816.07%83671817.594833812024041626949.03%120.92913
2Chris Bigras40444242286331764974486396.89%563945823.4117688529705514500%00.6000
3Aleksi Saarela4221291272561846111793118110.92%104734017.391825431761011125347.11%40.7045
4Anton Lindholm34870147217-3030895037763611.01%526770422.1442398129601142400%00.5600
5Zach Sanford30492112204246421644890810.13%92549618.08164056168404128843.23%00.74016

Icehogs Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Ivan Kulbakov250102105210.8993.24134361010725715201300.65838
2Angus Redmond1284440160.8993.3063958435234920400.87532
3Joseph Woll63411450.9312.353596261412054398140.7147
4Jonas Johansson55282240.9062.9331996015616640030.66712
5Nico Daws3420770.9362.55206821881370633400.5004

Icehogs Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Saison régulière
202076273503623236257-2138131901311111126-1538141602312125131-673236429665038674716254482982387336245870759817722515321.12%2527171.83%31430278951.27%1351272049.67%608124348.91%183112691784552979493
202076273503623236257-2138131901311111126-1538141602312125131-673236429665038674716254482982387336245870759817722515321.12%2527171.83%31430278951.27%1351272049.67%608124348.91%183112691784552979493
20217637250613423421123381812020241151141381913041101199722972344196530483845810244178280082850248169962417602635320.15%2644782.20%41411276950.96%1366271650.29%612117052.31%183512701813549965483
202276323304322228235-7381913021121211061538132002210107129-2281228425653308663739243981679780237243574367518452755921.45%2956478.31%21352278848.49%1324280647.18%549119445.98%181712521809564968482
202376372104833246209373822110121112598273815100362212111110992464186646187817110331512731045976433096100846325621533220.92%1182677.97%31079218549.38%1028205949.93%562110251.00%1712103415846641315654
Total Saison régulière38016014902024121511801169111908574079695835701319075750131566597599-2423118021203300911428376344411328345294288435220212928386429589711119325020.96%118127976.38%1567021332050.32%64201302149.30%2939595249.38%902760968776288352082607
Séries éliminatoires
20211367000004448-4734000002122-1633000002326-312447912310161313252417114917232427110140356511019.61%491471.43%127656848.59%23544652.69%13624355.97%3492452919317288
2023137600000393636420000019154734000002021-1143970109101418705592211971383549174654448225.00%20385.00%016437843.39%18337049.46%10421747.93%281172282112219105
Total Séries éliminatoires261313000008384-1137600000403731367000004347-42683149232203031202108339234631035976284205800591220.34%691775.36%144094646.51%41881651.23%24046052.17%630417574206392194

Icehogs Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Rem Pitlick13105157218276315.87%329222.47112910124265.38%01.0300
2Quinton Byfield13410145103330666.06%226920.730221200001053.47%01.0400
3Brayden Pachal24212143368131484.17%3350220.94011140002000%00.5600
4Cal Foote134913164025577.02%1832625.15235290000010%10.8000
5Alex Newhook1385134027195913.56%1125919.95101100003043.90%01.0000

Icehogs Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Nico Daws137510.9362.6978200355482351100
2Joseph Woll115410.8873.52648003833702000
3Michael DiPietro31110.8993.291640098900100