Connexion

Icehogs
GP: 12 | W: 6 | L: 6
GF: 52 | GA: 58 | PP%: 25.00% | PK%: 75.93%
DG: Charles Claveau-Fortin | Morale : 33 | Moyenne d’équipe : 65
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Centre de jeu
Wranglers
16-3-0, 32pts
5
FINAL
1 Icehogs
6-6-0, 12pts
Team Stats
W5SéquenceOTL1
7-2-0Fiche domicile3-3-0
9-1-0Fiche domicile3-3-0
10-0-0Derniers 10 matchs5-4-1
4.63Buts par match 4.33
3.32Buts contre par match 4.83
26.58%Pourcentage en avantage numérique25.00%
78.87%Pourcentage en désavantage numérique75.93%
Icehogs
6-6-0, 12pts
5
FINAL
6 Wranglers
16-3-0, 32pts
Team Stats
OTL1SéquenceW5
3-3-0Fiche domicile7-2-0
3-3-0Fiche domicile9-1-0
5-4-1Derniers 10 matchs10-0-0
4.33Buts par match 4.63
4.83Buts contre par match 3.32
25.00%Pourcentage en avantage numérique26.58%
75.93%Pourcentage en désavantage numérique78.87%
Meneurs d'équipe
Buts
Hudson Fasching
8
Passes
Mikhail Grigorenko
12
Points
Mikhail Grigorenko
16
Plus/Moins
Hudson Fasching
6
Victoires
Mackenzie Blackwood
6
Pourcentage d’arrêts
Mackenzie Blackwood
0.854

Statistiques d’équipe
Buts pour
52
4.33 GFG
Tirs pour
409
34.08 Avg
Pourcentage en avantage numérique
25.0%
12 GF
Début de zone offensive
36.0%
Buts contre
58
4.83 GAA
Tirs contre
396
33.00 Avg
Pourcentage en désavantage numérique
75.9%%
13 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralCharles Claveau-Fortin
EntraîneurDoug Gilmour
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 250
Espoirs0


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
1Dave BollandX100.006830847474788372758772657077711836730321750,000$
2Hudson Fasching (R)X100.006924778080747871717377617255484558710231950,000$
3J.T. BrownX100.006939747071707977717474736666602766710281800,000$
4Mikhail Grigorenko (R)X100.006529777070807472838179626554513942710241985,000$
5Jesse Puljujarvi (R)X100.007233786889796971727481597348447047710204950,000$
6Kurtis GabrielX100.007754807479637370627267606555563666680251600,000$
7Myles BellX100.007227756569707265697482566452543162680251700,000$
8Dillon Dube (R)X100.007334826078727068746579566243445830670202800,000$
9Nikita Scherbak (R)X100.006729806482696969706675576946474666660222775,000$
10Andrew Poturalski (R)X100.007736857770696463766464616949505253660242900,000$
11Michael Rasmussen (R)X100.006526756278666664706875536143427454640191500,000$
12Maxim Letunov (R)X100.005544706259696661666467516344443646610221500,000$
13Mike ReillyX100.007219747772838071597275716571513762710261800,000$
14Patrick Sieloff (R)X100.007437728073756772557163745961503546710241900,000$
15Duncan SiemensX100.006935737374706766516962706055533866680251800,000$
16Calle Andersson (R)X100.006922757265656971547157675948483366660241650,000$
17Jeremy Davies (R)X100.006438807160526877478559594147494766650222600,000$
18Zach Whitecloud (R)X100.006031686864636756386646625547453637600223600,000$
Rayé
1Patrick RussellX100.005146757160727161666964485950522737620251500,000$
2Clark Bishop (R)X100.005336846163756150616957586246454423600223500,000$
3Ross Johnston (R)X100.009160686084578056505460436350504256600241500,000$
4Thomas DiPauli (R)X100.005934837265775853576357565746463127600241500,000$
5JJ. Piccinich (R)X100.007341616270526661476558605244444221590221575,000$
6Kristian Reichel (R)X100.006144715969687153535859506042435632580201500,000$
7Jackson Cates (R)X100.005129797162706653636146575744455126580213500,000$
8Mitchell Chaffee (R)X100.005743636764666363654953595242425526580201500,000$
9Gabriel Fortier (R)X100.005540696163656258646055465340407825570182500,000$
10Julius Honka (R)X100.007344826870737568626667756856474850700222950,000$
11Declan Chisholm (R)X100.005229726148556273216748523940406820560182500,000$
MOYENNE D’ÉQUIPE100.00663675687069706561686559615048454565
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
1Mackenzie Blackwood100.007374747269757073727476524755697102231,250,000$
2Oscar Dansk100.00705966707763636365576948503770650241725,000$
Rayé
1Petr Kvaca100.00466951665456617566685845444823600212500,000$
MOYENNE D’ÉQUIPE100.0063676469676565706866684847475465
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67668070378057CAN512700,000$


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
1Mikhail GrigorenkoIcehogs (Chi)LW124121608014154612368.70%1328423.6734710370001381052.00%5095001.1300000120
2Hudson FaschingIcehogs (Chi)RW1287156100211745132817.78%320917.50202634000080064.29%1482001.4300000111
3Dave BollandIcehogs (Chi)C94913120121633111412.12%317919.920442240000252154.51%23379001.4500000010
4Jesse PuljujarviIcehogs (Chi)RW128412-420181638172421.05%621317.781121150000182040.00%25106011.1200000200
5Dillon DubeIcehogs (Chi)C125712-3401218167731.25%423019.211342330001100048.88%26807001.0400000001
6J.T. BrownIcehogs (Chi)RW125611-920211642142011.90%316613.87213518000080040.00%555001.3200000000
7Myles BellIcehogs (Chi)LW125611-12017132371121.74%420116.760220300001130037.50%833001.0900000000
8Kurtis GabrielIcehogs (Chi)RW124591209528121414.29%01048.6801113000030122.22%980001.7300000101
9Mike ReillyIcehogs (Chi)D12279-216026162310168.70%2233527.98213443000042010%01414000.5400000000
10Patrick SieloffIcehogs (Chi)D12178-21602026339113.03%1232727.33123643000141000%01011000.4900000000
11Maxim LetunovIcehogs (Chi)C1223556041052140.00%21048.6700000000020060.42%4811000.9600000010
12Calle AnderssonIcehogs (Chi)D120440120111311120%922819.07000122000030000%029000.3500000000
13Duncan SiemensIcehogs (Chi)D12044-11201598390%1524520.43011226000128000%037000.3300000000
14Andrew PoturalskiIcehogs (Chi)C12224-4201210183711.11%313711.4900007000000046.74%9210000.5800000000
15Jeremy DaviesIcehogs (Chi)D12123-2204820325.00%814912.480000000006100%022000.4000000000
16Michael RasmussenIcehogs (Chi)LW12112-62013614477.14%514912.42000020002170040.00%520000.2700000000
17Ross JohnstonIcehogs (Chi)LW80112001320010%1668.300000000000000%100000.3000000000
18Zach WhitecloudIcehogs (Chi)D12011-1606100210%1113010.880000000007000%019000.1500000000
19Clark BishopIcehogs (Chi)C1000000000000%000.900000000000000%00000000000000
20Kristian ReichelIcehogs (Chi)C8000000110000%0151.9800001000012000%60000000000000
21Julius HonkaIcehogs (Chi)D3000-200014200%44715.940000300003000%00200000000000
22Nikita ScherbakIcehogs (Chi)RW12000020211010%1201.720000100000000%00000000000000
23Patrick RussellIcehogs (Chi)RW9000000000000%010.170000000000000%00000000000000
24Thomas DiPauliIcehogs (Chi)C1000-300001000%088.9800000000000075.00%40000000000000
25Jackson CatesIcehogs (Chi)C8000000100000%081.1100000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne2515288140-25108025222940913221212.71%129356814.221220324035100073236350.39%7708692010.7800000553
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
1Mackenzie BlackwoodIcehogs (Chi)106210.8544.555410041281128000093000
2Oscar DanskIcehogs (Chi)50300.8525.40189001711560000039000
Statistiques d’équipe totales ou en moyenne156510.8544.7673100583961880001212000


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Andrew PoturalskiIcehogs (Chi)C241994-01-01Yes183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Calle AnderssonIcehogs (Chi)D241994-01-01Yes211 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Clark BishopIcehogs (Chi)C221996-01-01Yes199 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No600,000$700,000$-------NoNo-------
Dave BollandIcehogs (Chi)C321986-01-01No181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Declan ChisholmIcehogs (Chi)D182000-01-01Yes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Dillon DubeIcehogs (Chi)C201998-01-01Yes187 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No950,000$--------No--------
Duncan SiemensIcehogs (Chi)D251993-01-01No200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Gabriel FortierIcehogs (Chi)LW182000-01-01Yes177 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Hudson FaschingIcehogs (Chi)RW231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
J.T. BrownIcehogs (Chi)RW281990-01-01No170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
JJ. PiccinichIcehogs (Chi)RW221996-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No------------------
Jackson CatesIcehogs (Chi)C211997-01-01Yes190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------
Jeremy DaviesIcehogs (Chi)D221996-01-01Yes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------No--------
Jesse PuljujarviIcehogs (Chi)RW201998-01-01Yes201 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm950,000$0$0$No2,000,000$3,000,000$4,000,000$------NoNoNo------
Julius HonkaIcehogs (Chi)D221996-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No1,000,000$--------No--------
Kristian ReichelIcehogs (Chi)C201998-01-01Yes168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Kurtis GabrielIcehogs (Chi)RW251993-01-01No185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No------------------
Mackenzie BlackwoodIcehogs (Chi)G221996-01-01No225 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,250,000$0$0$No1,750,000$2,000,000$-------NoNo-------
Maxim LetunovIcehogs (Chi)C221996-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Michael RasmussenIcehogs (Chi)LW191999-01-01Yes210 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Mike ReillyIcehogs (Chi)D261992-01-01No191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Mikhail GrigorenkoIcehogs (Chi)LW241994-01-01Yes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm985,000$0$0$No------------------
Mitchell ChaffeeIcehogs (Chi)RW201998-01-01Yes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Myles BellIcehogs (Chi)LW251993-01-01No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No------------------
Nikita ScherbakIcehogs (Chi)RW221996-01-01Yes192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No925,000$--------No--------
Oscar DanskIcehogs (Chi)G241994-01-01No187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm725,000$0$0$No------------------
Patrick RussellIcehogs (Chi)RW251993-01-01No203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Patrick SieloffIcehogs (Chi)D241994-01-01Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Petr KvacaIcehogs (Chi)G211997-01-01No169 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Ross JohnstonIcehogs (Chi)LW241994-01-01Yes235 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Thomas DiPauliIcehogs (Chi)C241994-01-01Yes188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Zach WhitecloudIcehogs (Chi)D221996-01-01Yes209 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.81192 Lbs6 ft11.59689,375$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail GrigorenkoDave BollandHudson Fasching40122
2Myles BellDillon DubeJ.T. Brown30122
3Michael RasmussenAndrew PoturalskiJesse Puljujarvi20122
4Mikhail GrigorenkoMaxim LetunovKurtis Gabriel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyPatrick Sieloff40122
2Duncan SiemensCalle Andersson30122
3Jeremy DaviesZach Whitecloud20122
4Mike ReillyPatrick Sieloff10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail GrigorenkoDave BollandHudson Fasching60122
2Myles BellDillon DubeJ.T. Brown40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyPatrick Sieloff60122
2Duncan SiemensCalle Andersson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dave BollandMikhail Grigorenko60122
2Dillon DubeMyles Bell40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyPatrick Sieloff60122
2Duncan SiemensCalle Andersson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dave Bolland60122Mike ReillyPatrick Sieloff60122
2Dillon Dube40122Duncan SiemensCalle Andersson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dave BollandMikhail Grigorenko60122
2Dillon DubeMyles Bell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mike ReillyPatrick Sieloff60122
2Duncan SiemensCalle Andersson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail GrigorenkoDave BollandHudson FaschingMike ReillyPatrick Sieloff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail GrigorenkoDave BollandHudson FaschingMike ReillyPatrick Sieloff
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Grigorenko, Kurtis Gabriel, Myles BellMikhail Grigorenko, Kurtis GabrielMikhail Grigorenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Andersson, Jeremy Davies, Zach WhitecloudCalle AnderssonCalle Andersson, Jeremy Davies
Tirs de pénalité
Dave Bolland, Hudson Fasching, J.T. Brown, Jesse Puljujarvi, Mikhail Grigorenko
Gardien
#1 : Mackenzie Blackwood, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Dave Bolland, Hudson Fasching, J.T. Brown, Jesse Puljujarvi, Mikhail Grigorenko, Kurtis Gabriel, Kurtis Gabriel, Myles Bell, Dillon Dube, Nikita Scherbak, Andrew Poturalski
Lignes de défense personnalisées en prolongation
Mike Reilly, Patrick Sieloff, Duncan Siemens, Calle Andersson, Jeremy Davies


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
1Rocket642000003132-13210000019190321000001213-180.66731538400171616322413912113712197605212622522.73%26676.92%012727745.85%14127551.27%12021855.05%248136264117217105
2Wranglers624000002126-5312000001013-3312000001113-240.33321355600171616318513912113712199695612626726.92%28775.00%012727745.85%14127551.27%12021855.05%248136264117217105
Total1266000005258-6633000002932-3633000002326-3120.500528814000171616340913912113712396129108252481225.00%541375.93%012727745.85%14127551.27%12021855.05%248136264117217105
_Since Last GM Reset1266000005258-6633000002932-3633000002326-3120.500528814000171616340913912113712396129108252481225.00%541375.93%012727745.85%14127551.27%12021855.05%248136264117217105
_Vs Conference1266000005258-6633000002932-3633000002326-3120.500528814000171616340913912113712396129108252481225.00%541375.93%012727745.85%14127551.27%12021855.05%248136264117217105

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1212OTL1528814040939612910825200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126600005258
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002932
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300002326
Derniers 10 matchs
WLOTWOTL SOWSOL
342100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481225.00%541375.93%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
139121137121716163
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
12727745.85%14127551.27%12021855.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
248136264117217105


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
13Rocket6Icehogs4LSommaire du match
211Rocket6Icehogs7WXSommaire du match
319Icehogs6Rocket5WXSommaire du match
427Icehogs1Rocket5LSommaire du match
535Rocket7Icehogs8WXSommaire du match
643Icehogs5Rocket3WSommaire du match
858Wranglers3Icehogs8WSommaire du match
962Wranglers5Icehogs1LSommaire du match
1066Icehogs4Wranglers3WSommaire du match
1170Icehogs2Wranglers4LSommaire du match
1274Wranglers5Icehogs1LSommaire du match
1378Icehogs5Wranglers6LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 3000 - 100.00% 189,000$1,134,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,206,000$ 1,897,500$ 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

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