Connexion

Icehogs
GP: 51 | W: 21 | L: 23 | OTL: 7 | P: 49
GF: 149 | GA: 167 | PP%: 21.01% | PK%: 81.94%
DG: Dominic | Morale : 37 | Moyenne d’équipe : 63
Prochains matchs #786 vs Griffins
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Centre de jeu
Icehogs
21-23-7, 49pts
1
FINAL
5 Eagles
29-18-3, 61pts
Team Stats
L2SéquenceL1
13-7-4Fiche domicile13-10-1
8-16-3Fiche domicile16-8-2
5-4-1Derniers 10 matchs6-3-1
2.92Buts par match 3.46
3.27Buts contre par match 3.06
21.01%Pourcentage en avantage numérique19.88%
81.94%Pourcentage en désavantage numérique79.45%
Iowa Wild
24-21-4, 52pts
6
FINAL
4 Icehogs
21-23-7, 49pts
Team Stats
W2SéquenceL2
13-10-2Fiche domicile13-7-4
11-11-2Fiche domicile8-16-3
6-3-1Derniers 10 matchs5-4-1
3.20Buts par match 2.92
3.20Buts contre par match 3.27
20.25%Pourcentage en avantage numérique21.01%
82.98%Pourcentage en désavantage numérique81.94%
Icehogs
21-23-7, 49pts
2023-12-09
Griffins
37-10-2, 76pts
Statistiques d’équipe
L2SéquenceW1
13-7-4Fiche domicile19-3-2
8-16-3Fiche visiteur18-7-0
5-4-110 derniers matchs7-3-0
2.92Buts par match 4.04
3.27Buts contre par match 4.04
21.01%Pourcentage en avantage numérique20.98%
81.94%Pourcentage en désavantage numérique79.33%
Silver Knights
26-17-4, 56pts
2023-12-11
Icehogs
21-23-7, 49pts
Statistiques d’équipe
W1SéquenceL2
12-12-1Fiche domicile13-7-4
14-5-3Fiche visiteur8-16-3
6-3-110 derniers matchs5-4-1
3.45Buts par match 2.92
3.21Buts contre par match 2.92
23.38%Pourcentage en avantage numérique21.01%
72.61%Pourcentage en désavantage numérique81.94%
Icehogs
21-23-7, 49pts
2023-12-13
Condors
15-29-5, 35pts
Statistiques d’équipe
L2SéquenceL1
13-7-4Fiche domicile10-13-2
8-16-3Fiche visiteur5-16-3
5-4-110 derniers matchs1-9-0
2.92Buts par match 2.94
3.27Buts contre par match 2.94
21.01%Pourcentage en avantage numérique15.79%
81.94%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Jakob Lilja
16
Passes
Slater Koekkoek
30
Points
Slater Koekkoek
35
Plus/Moins
Gustav Bouramman
11
Victoires
Charlie Lindgren
16
Pourcentage d’arrêts
Charlie Lindgren
0.901

Statistiques d’équipe
Buts pour
149
2.92 GFG
Tirs pour
1492
29.25 Avg
Pourcentage en avantage numérique
21.0%
29 GF
Début de zone offensive
40.0%
Buts contre
167
3.27 GAA
Tirs contre
1497
29.35 Avg
Pourcentage en désavantage numérique
81.9%%
28 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralDominic
EntraîneurBob Hartley
DivisionDivision Centrale
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2Oskar Sundqvist


Informations de l’aréna

Capacité3,000
Assistance2,921
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 55
Espoirs20


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
1Radim ZohornaX100.0070459073777272725971707067544764526602721,700,000$
2Jakob LiljaX100.0061459372707288716369717765645452496503021,300,000$
3Sven AndrighettoX100.0060399568647278716074706979655855346503021,500,000$
4Oskar Sundqvist (A)X100.0062439070747382727173657659665551476502921,300,000$
5Justin BaileyX100.007457767273757665636969666955495749640281900,000$
6Rocco GrimaldiX100.0063459772677281696367696967605553216403031,300,000$
7Eric FlorchukX100.0064468375737276677368646558595074496402331,200,000$
8Michael SgarbossaX100.0063469871697168707269696967524753496403131,300,000$
9Boris KatchoukX100.007545817271718670676767726054486049640252900,000$
10Justin DowlingX100.0065459371697376706570697167554746346403321,300,000$
11Glenn GawdinX100.006545867270747271737367696051486035640261750,000$
12Timothy GettingerX100.006948797275727270657168706749486028630252750,000$
13Slater KoekkoekX100.0067458073727371704573637262635056496502921,700,000$
14Fredrik ClaessonX100.0073538370737387694569646956685151506503121,500,000$
15Ronald Attard (R)X100.006644907272707065456867676245456049630243750,000$
16Gavin BayreutherX100.006142876872707468456862715956505442630291900,000$
17Nikolai GlukhovX100.007768617371687266456264675955495620620282900,000$
18Gustav BourammanX100.006750917068727058456460695749476031610261750,000$
Rayé
1Brian FerlinX100.006343816674687965576164736266594921620312900,000$
2Brandon GignacX100.006445867268697271716563715949476020620262750,000$
3Kevin RoyX100.005340907268687065726461706855514820610302800,000$
4Raphael BussieresX100.008172556774696664646666596055525820610302700,000$
5Dennis YanX100.005745887270667067626265645848465820600261750,000$
6Dakota MermisX100.006548776871667468456760705458494919620292900,000$
7Matthew SpencerX100.006345777473686762456455655145456620600261750,000$
MOYENNE D’ÉQUIPE100.00664884717171756859686569625650563563
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
1Charlie Lindgren99.008086847681788480818486575956456602912,000,000$
2Samu Perhonen100.00716464797379747979777955574830620301900,000$
Rayé
1Jhonas Enroth100.007674727276747978787875666434476403521,200,000$
MOYENNE D’ÉQUIPE99.6776757376777779797980805960464164
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley74766873999934CAN645100,000$


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
1Slater KoekkoekIcehogs (Chi)D5153035-1234061427217346.94%66111621.89347301130221103020%000000.6300000101
2Oskar SundqvistIcehogs (Chi)C47131932-1602583118347511.02%979016.8235824108000013150.00%101600000.8100000320
3Jakob LiljaIcehogs (Chi)LW51161531-7201643147388510.88%1280415.7845929810003443050.00%5000000.7704000022
4Boris KatchoukIcehogs (Chi)RW51112031-3280844211533839.57%583016.29461017113000000053.57%5600000.7500000122
5Radim ZohornaIcehogs (Chi)RW51121729-71956244117299110.26%886917.05448301190001372043.86%5700000.6713100202
6Glenn GawdinIcehogs (Chi)C45131427-2802872102346712.75%372516.1353821101011072150.88%91000000.7400000212
7Brad MaloneBlackHawksLW501792671806341111217315.32%1078315.6631417521122681147.54%6100000.6605000033
8Chris BigrasBlackHawksD4332124-736071393216329.38%4985719.94000414022088010%000000.5600000120
9Eric FlorchukIcehogs (Chi)C5141822-104028726822545.88%782216.1203374311251171050.75%99900000.5400000300
10Gavin BayreutherIcehogs (Chi)D4621820918028272812237.14%6183118.08000170221105000%000000.4800000011
11Justin DowlingIcehogs (Chi)RW45118196100212572228715.28%1156412.54011020001883058.14%4300000.6703000121
12Ronald AttardIcehogs (Chi)D5151318-10200413340163812.50%50105020.6014519115000242100%000000.3400000120
13Justin BaileyIcehogs (Chi)LW5121618-222059248122662.47%862012.170551892000090037.14%3500000.5801000002
14Timothy GettingerIcehogs (Chi)LW4061117-14235652510327745.83%463515.890551793000002143.24%3700000.5300100103
15Sven AndrighettoIcehogs (Chi)RW3621416-60010288138432.47%354915.270221383000000048.89%4500000.5802000010
16Michael SgarbossaIcehogs (Chi)C518513-560136378336810.26%664612.680000021321293049.30%86200000.4013000010
17Fredrik ClaessonIcehogs (Chi)D515813-14355802529111317.24%65101819.96000002023116000%000000.2600001020
18Gustav BourammanIcehogs (Chi)D3939121129550161651518.75%2963816.3700000000036000%000000.3800001010
19Brandon GignacIcehogs (Chi)C10257500312222159.09%313413.4300028101190052.63%13300001.0400000010
20Rocco GrimaldiIcehogs (Chi)LW12336180542041115.00%216713.99213417000000066.67%1200000.7100000001
21Nikolai GlukhovIcehogs (Chi)D12303014029441775.00%619416.210000000008000%000000.3100000010
22Brian FerlinIcehogs (Chi)RW21202-800178288137.14%323111.00000010000140038.46%1300000.1700000000
23Dakota MermisIcehogs (Chi)D13112-38020783212.50%1324018.5000004000224000%000000.1700000000
Statistiques d’équipe totales ou en moyenne918149274423-7234820879779149244810699.99%4331512416.4829497825311787101724105421750.15%432900000.56221202162420
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
1Charlie LindgrenIcehogs (Chi)35161060.9012.77190603888930000.533153214421
2Jhonas EnrothIcehogs (Chi)2151310.8783.79115700735960100.71471927300
3Samu PerhonenIcehogs (Chi)10000.8752.8621001800000010000
Statistiques d’équipe totales ou en moyenne57212370.8923.153085031621497010225151721


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Boris KatchoukIcehogs (Chi)RW251998-06-18No206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Brandon GignacIcehogs (Chi)C261997-11-07No185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Brian FerlinIcehogs (Chi)RW311992-06-03No207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Charlie LindgrenIcehogs (Chi)G291993-12-18No179 Lbs6 ft2NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Dakota MermisIcehogs (Chi)D291994-01-05No195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Dennis YanIcehogs (Chi)LW261997-04-14No192 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Eric FlorchukIcehogs (Chi)C232000-01-10No181 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Fredrik ClaessonIcehogs (Chi)D311992-11-24No200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Gavin BayreutherIcehogs (Chi)D291994-05-12No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Glenn GawdinIcehogs (Chi)C261997-03-25No192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Gustav BourammanIcehogs (Chi)D261997-01-24No187 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jakob LiljaIcehogs (Chi)LW301993-07-23No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Jhonas EnrothIcehogs (Chi)G351988-06-25No179 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Justin BaileyIcehogs (Chi)LW281995-07-01No214 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Justin DowlingIcehogs (Chi)RW331990-10-01No180 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Kevin RoyIcehogs (Chi)C301993-05-20No174 Lbs5 ft9NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Matthew SpencerIcehogs (Chi)D261997-03-24No203 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Michael SgarbossaIcehogs (Chi)C311992-07-25No179 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------NoNo-------Lien
Nikolai GlukhovIcehogs (Chi)D281995-04-28No183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Oskar SundqvistIcehogs (Chi)C291994-03-23No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Radim ZohornaIcehogs (Chi)RW271996-04-29No225 Lbs6 ft6NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Raphael BussieresIcehogs (Chi)RW301993-11-05No202 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Rocco GrimaldiIcehogs (Chi)LW301993-02-08No180 Lbs5 ft6NoNoN/ANoNo3Pro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------NoNo-------Lien
Ronald AttardIcehogs (Chi)D241999-03-20Yes208 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Samu PerhonenIcehogs (Chi)G301993-03-07No196 Lbs6 ft5NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Slater KoekkoekIcehogs (Chi)D291994-02-18No193 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Sven AndrighettoIcehogs (Chi)RW301993-03-21No187 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Timothy GettingerIcehogs (Chi)LW251998-04-14No220 Lbs6 ft6NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2828.43195 Lbs6 ft11.861,083,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timothy GettingerOskar SundqvistRadim Zohorna28023
2Jakob LiljaGlenn GawdinBoris Katchouk27023
3Rocco GrimaldiEric FlorchukSven Andrighetto25023
4Justin BaileyMichael SgarbossaJustin Dowling20023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekFredrik Claesson35023
2Gustav BourammanRonald Attard35023
3Nikolai GlukhovGavin Bayreuther30023
4Slater KoekkoekFredrik Claesson0023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timothy GettingerOskar SundqvistRadim Zohorna50014
2Jakob LiljaGlenn GawdinBoris Katchouk50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekJustin Bailey50023
2Sven AndrighettoRonald Attard50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eric FlorchukJakob Lilja50041
2Michael SgarbossaJustin Dowling50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekFredrik Claesson50041
2Gavin BayreutherGustav Bouramman50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Eric Florchuk50050Slater KoekkoekFredrik Claesson50050
2Michael Sgarbossa50050Gavin BayreutherGustav Bouramman50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SundqvistRadim Zohorna50023
2Glenn GawdinBoris Katchouk50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekFredrik Claesson50023
2Gustav BourammanRonald Attard50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob LiljaOskar SundqvistRadim ZohornaSlater KoekkoekGustav Bouramman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob LiljaOskar SundqvistRadim ZohornaSlater KoekkoekGavin Bayreuther
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakob Lilja, Boris Katchouk, Radim ZohornaJustin Dowling, Boris KatchoukJakob Lilja
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ronald Attard, Gavin Bayreuther, Fredrik ClaessonSlater KoekkoekSlater Koekkoek, Ronald Attard
Tirs de pénalité
Jakob Lilja, Sven Andrighetto, Michael Sgarbossa, Justin Dowling, Radim Zohorna
Gardien
#1 : Charlie Lindgren, #2 : Samu Perhonen


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
1Barracuda11000000431110000004310000000000021.000461000525244329465496512403188224250.00%4175.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
2Bears1010000023-11010000023-10000000000000.00023500525244319465496512404214818000%40100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
3BruinsF210000017431000000134-11100000040430.75071219015252443664654965124048151229600.00%6266.67%1849173149.05%884174550.66%43885351.35%12128291202375673333
4Canucks20200000210-80000000000020200000210-800.000246005252443464654965124073212330400.00%9277.78%0849173149.05%884174550.66%43885351.35%12128291202375673333
5Checkers1010000026-4000000000001010000026-400.0002460052524433146549651240417621200.00%30100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
6Comets21100000660110000003211010000034-120.500611170052524436546549651240301443110220.00%20100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
7Condors11000000413110000004130000000000021.00047110052524432946549651240281129200.00%10100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
8Crunch1010000002-2000000000001010000002-200.0000000052524432846549651240249812200.00%30100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
9Eagles4220000013130211000009632110000047-340.5001325380052524431184654965124010235267015213.33%130100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
10Firebirds1010000013-2000000000001010000013-200.00012300525244320465496512404013615100.00%3166.67%0849173149.05%884174550.66%43885351.35%12128291202375673333
11Griffins2010010036-31010000024-21000010012-110.250369005252443534654965124058191421300.00%7185.71%0849173149.05%884174550.66%43885351.35%12128291202375673333
12Gulls3120000089-1110000004312020000046-220.333816240052524437646549651240962022585120.00%9188.89%0849173149.05%884174550.66%43885351.35%12128291202375673333
13Iowa Wild2110000089-11010000046-21100000043120.500815230052524435546549651240751923414125.00%7271.43%0849173149.05%884174550.66%43885351.35%12128291202375673333
14Islanders1010000026-41010000026-40000000000000.0002460052524433346549651240261049100.00%20100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
15Monsters4220000015132211000006512110000098140.5001527420052524431334654965124010921147314642.86%7185.71%0849173149.05%884174550.66%43885351.35%12128291202375673333
16Moose1000010034-11000010034-10000000000010.5003690052524433746549651240419617400.00%3166.67%0849173149.05%884174550.66%43885351.35%12128291202375673333
17PenguinsF11000000431110000004310000000000021.000461000525244333465496512403268163133.33%4175.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
18Phantoms11000000211110000002110000000000021.000235005252443174654965124029151211100.00%60100.00%1849173149.05%884174550.66%43885351.35%12128291202375673333
19Reign20100001810-20000000000020100001810-210.250814220052524438346549651240702110446233.33%5180.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
20Roadrunners21100000610-40000000000021100000610-420.500612180052524435746549651240561516357114.29%7185.71%1849173149.05%884174550.66%43885351.35%12128291202375673333
21Rocket1010000045-1000000000001010000045-100.000471100525244330465496512402871222300.00%6350.00%1849173149.05%884174550.66%43885351.35%12128291202375673333
22SenatorsF32000001871320000018710000000000050.833814220052524439046549651240612115609333.33%50100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
23Silver Knights20101000880100010003211010000056-120.500815230052524437746549651240511612407228.57%5340.00%2849173149.05%884174550.66%43885351.35%12128291202375673333
24StarsF411000021215-3210000016602010000169-340.500122335005252443105465496512401244232765120.00%14471.43%1849173149.05%884174550.66%43885351.35%12128291202375673333
25Thunderbirds1010000045-1000000000001010000045-100.00048120052524432646549651240421015133133.33%5260.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
26Wolf Pack11000000413000000000001100000041321.000481200525244326465496512403210815200.00%40100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
27Wolves11000000303000000000001100000030321.0003580152524432946549651240275416400.00%20100.00%0849173149.05%884174550.66%43885351.35%12128291202375673333
28Wranglers321000006422110000024-21100000040440.6676111701525244381465496512408120185511436.36%9188.89%0849173149.05%884174550.66%43885351.35%12128291202375673333
Total51202301205149167-1824127011037170127816001027897-19490.48014927442303525244314924654965124014974333488791382921.01%1552881.94%7849173149.05%884174550.66%43885351.35%12128291202375673333
_Since Last GM Reset51202301205149167-1824127011037170127816001027897-19490.48014927442303525244314924654965124014974333488791382921.01%1552881.94%7849173149.05%884174550.66%43885351.35%12128291202375673333
_Vs Conference33121601103101116-151475010014440419511001025776-19300.45510118929001525244396846549651240996278235587902325.56%1022080.39%4849173149.05%884174550.66%43885351.35%12128291202375673333
_Vs Division1424001004656-106120000022220812001002434-1050.17946891350052524433984654965124044013011825238615.79%491079.59%2849173149.05%884174550.66%43885351.35%12128291202375673333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5149L21492744231492149743334887903
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5120231205149167
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2412711037170
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2781601027897
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1382921.01%1552881.94%7
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
465496512405252443
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
849173149.05%884174550.66%43885351.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12128291202375673333


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
2 - 2023-08-2615SenatorsF2Icehogs3BWSommaire du match
5 - 2023-08-2932Gulls3Icehogs4BWSommaire du match
7 - 2023-08-3148Icehogs1Gulls2ALSommaire du match
9 - 2023-09-0266Wranglers3Icehogs0BLSommaire du match
11 - 2023-09-0483Icehogs0Canucks6ALSommaire du match
12 - 2023-09-0592Icehogs4Wolf Pack1AWSommaire du match
15 - 2023-09-08112Monsters1Icehogs4BWSommaire du match
17 - 2023-09-10128Icehogs4Iowa Wild3AWSommaire du match
19 - 2023-09-12144Barracuda3Icehogs4BWSommaire du match
20 - 2023-09-13153Icehogs3Reign4ALSommaire du match
23 - 2023-09-16177Griffins4Icehogs2BLSommaire du match
26 - 2023-09-19196Silver Knights2Icehogs3BWXSommaire du match
28 - 2023-09-21213Icehogs1Griffins2ALXSommaire du match
31 - 2023-09-24227Icehogs3StarsF4ALXXSommaire du match
32 - 2023-09-25239Eagles2Icehogs6BWSommaire du match
35 - 2023-09-28260Icehogs1Roadrunners7ALSommaire du match
37 - 2023-09-30273Moose4Icehogs3BLXSommaire du match
39 - 2023-10-02290Icehogs2Canucks4ALSommaire du match
41 - 2023-10-04304Bears3Icehogs2BLSommaire du match
43 - 2023-10-06315Icehogs4Monsters5ALSommaire du match
45 - 2023-10-08334Islanders6Icehogs2BLSommaire du match
47 - 2023-10-10348Icehogs3Comets4ALSommaire du match
49 - 2023-10-12364StarsF4Icehogs3BLXXSommaire du match
51 - 2023-10-14375Icehogs3StarsF5ALSommaire du match
53 - 2023-10-16392Icehogs5Reign6ALXXSommaire du match
54 - 2023-10-17402Monsters4Icehogs2BLSommaire du match
57 - 2023-10-20426Icehogs3Gulls4ALSommaire du match
58 - 2023-10-21435Icehogs0Crunch2ALSommaire du match
60 - 2023-10-23443SenatorsF1Icehogs2BWSommaire du match
63 - 2023-10-26467Phantoms1Icehogs2BWSommaire du match
65 - 2023-10-28480Icehogs4Thunderbirds5ALSommaire du match
67 - 2023-10-30493Icehogs3Eagles2AWSommaire du match
69 - 2023-11-01507Comets2Icehogs3BWSommaire du match
71 - 2023-11-03520Icehogs5Silver Knights6ALSommaire du match
73 - 2023-11-05530Icehogs1Firebirds3ALSommaire du match
75 - 2023-11-07541StarsF2Icehogs3BWSommaire du match
77 - 2023-11-09559Icehogs5Roadrunners3AWSommaire du match
79 - 2023-11-11574BruinsF4Icehogs3BLXXSommaire du match
81 - 2023-11-13587Icehogs4BruinsF0AWSommaire du match
83 - 2023-11-15604Condors1Icehogs4BWSommaire du match
85 - 2023-11-17624Icehogs2Checkers6ALSommaire du match
86 - 2023-11-18634Wranglers1Icehogs2BWSommaire du match
89 - 2023-11-21650Icehogs4Wranglers0AWSommaire du match
91 - 2023-11-23664Icehogs4Rocket5ALSommaire du match
92 - 2023-11-24672SenatorsF4Icehogs3BLXXSommaire du match
95 - 2023-11-27697Icehogs3Wolves0AWSommaire du match
96 - 2023-11-28705Eagles4Icehogs3BLSommaire du match
99 - 2023-12-01726Icehogs5Monsters3AWSommaire du match
100 - 2023-12-02735PenguinsF3Icehogs4BWSommaire du match
103 - 2023-12-05759Icehogs1Eagles5ALSommaire du match
104 - 2023-12-06768Iowa Wild6Icehogs4BLSommaire du match
107 - 2023-12-09786Icehogs-Griffins-
109 - 2023-12-11800Silver Knights-Icehogs-
111 - 2023-12-13815Icehogs-Condors-
113 - 2023-12-15832Iowa Wild-Icehogs-
115 - 2023-12-17846Icehogs-Condors-
117 - 2023-12-19860Icehogs-Barracuda-
118 - 2023-12-20866Canucks-Icehogs-
121 - 2023-12-23888Icehogs-Admirals-
122 - 2023-12-24896Thunderbirds-Icehogs-
126 - 2023-12-28927Thunderbirds-Icehogs-
127 - 2023-12-29939Icehogs-Americans-
130 - 2024-01-01958Reign-Icehogs-
132 - 2024-01-03972Icehogs-Iowa Wild-
135 - 2024-01-06991Admirals-Icehogs-
137 - 2024-01-081007Icehogs-Wolf Pack-
138 - 2024-01-091019Admirals-Icehogs-
143 - 2024-01-141052Reign-Icehogs-
144 - 2024-01-151058Icehogs-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2024-01-181082Icehogs-Admirals-
148 - 2024-01-191088Roadrunners-Icehogs-
152 - 2024-01-231116Gulls-Icehogs-
153 - 2024-01-241121Icehogs-Thunderbirds-
156 - 2024-01-271142Icehogs-Marlies-
158 - 2024-01-291152Condors-Icehogs-
159 - 2024-01-301164Icehogs-Barracuda-
162 - 2024-02-021183Americans-Icehogs-
166 - 2024-02-061214Roadrunners-Icehogs-
170 - 2024-02-101242Griffins-Icehogs-
175 - 2024-02-151271Canucks-Icehogs-
177 - 2024-02-171284Barracuda-Icehogs-
179 - 2024-02-191292Icehogs-Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2811
Assistance46,65723,455
Assistance PCT97.20%97.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 2921 - 97.38% 94,516$2,268,382$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,938,036$ 3,035,000$ 3,035,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,879,771$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,606,771$ 76 17,225$ 1,309,100$




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

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

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

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

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