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Icehogs
GP: 80 | W: 45 | L: 25 | OTL: 10 | P: 100
GF: 340 | GA: 322 | PP%: 22.12% | PK%: 77.97%
DG: Mathias Labrie | Morale : 55 | Moyenne d’équipe : 64
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Centre de jeu
Icehogs
45-25-10, 100pts
4
FINAL
5 Crunch
43-32-5, 91pts
Team Stats
OTW1StreakW1
23-13-4Home Record19-18-3
22-12-6Away Record24-14-2
3-4-3Last 10 Games7-2-1
4.25Buts par match 4.25
4.03Buts contre par match 4.11
22.12%Pourcentage en avantage numérique24.00%
77.97%Pourcentage en désavantage numérique72.76%
Icehogs
45-25-10, 100pts
5
FINAL
4 Punishers
29-43-8, 66pts
Team Stats
OTW1StreakOTL1
23-13-4Home Record16-18-6
22-12-6Away Record13-25-2
3-4-3Last 10 Games3-6-1
4.25Buts par match 3.79
4.03Buts contre par match 4.23
22.12%Pourcentage en avantage numérique19.11%
77.97%Pourcentage en désavantage numérique76.57%
Meneurs d'équipe
Buts
Hudson Fasching
34
Passes
Nick Mattson
46
Points
Mikhail Grigorenko
71
Plus/Moins
Mikhail Grigorenko
19
Victoires
Mark Visentin
41
Pourcentage d’arrêts
Mark Visentin
0.88

Statistiques d’équipe
Buts pour
340
4.25 GFG
Tirs pour
2741
34.26 Avg
Pourcentage en avantage numérique
22.1%
71 GF
Début de zone offensive
36.7%
Buts contre
322
4.03 GAA
Tirs contre
2605
32.56 Avg
Pourcentage en désavantage numérique
78.0%%
63 GA
Début de la zone défensive
36.0%
Informations de l'équipe

Directeur généralMathias Labrie
EntraîneurDoug Gilmour
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,808
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure21
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
1Andrew Mangiapane (R)X100.006737766188717768737485607753445450700213975,000$
2Michael ChaputX100.007044787768717274727268657059503765690251950,000$
3Mikhail Grigorenko (R)X100.006229747169787169817977596249474375690232950,000$
4Hudson Fasching (R)X100.006524757877747467666875626848444964680221600,000$
5Mattias JanmarkX100.006241846754717468728071546451523975670251700,000$
6Myles Bell (R)X100.006927736265676968677384536351513475670241800,000$
7Nick Paul (R)X100.006649836871686868657173566744444375670221900,000$
8Kurtis Gabriel (R)X100.007654787178607266596863576153534054650242500,000$
9Patrick Russell (R)X100.004946716757737256616459445649502975590241500,000$
10Ross Johnston (R)X100.008958665983527554495359416249494857580231400,000$
11JJ. Piccinich (R)X100.007240586168496260466257585043434830570212465,000$
12Mitchell Chaffee (R)X100.005642616562635862644851575141416228570192500,000$
13Clark Bishop (R)X100.005136835961715545606552555843434823560211500,000$
14Kristian Reichel (R)X100.005943695667636551525656495841426420550192500,000$
15Nick MattsonX100.007334737870727562577766686372613175700261900,000$
16Mike ReillyX100.006919727569797569587073696262504153690251800,000$
17Julius Honka (R)X100.007144826469717364586364766546455362680213850,000$
18Patrick Sieloff (R)X100.007237707871726468526759725453493875680231500,000$
19Duncan Siemens (R)X100.007035727273696464486759725752504259670241850,000$
20Calle Andersson (R)X100.006822746862636470507255635745453665640232575,000$
21Jeremy Davies (R)X100.006138786957476276438557563845475175640211500,000$
22Zach Whitecloud (R)X100.005731656562596253336444595245433957580211400,000$
Rayé
1J.T. BrownX90.377238757173717676697376716762583054710271700,000$
2Nikita Scherbak (R)X100.006529796281656367686673546744455055650213750,000$
3Dillon Dube (R)X100.007134805477706864726277525941426338640191500,000$
4Andrew Poturalski (R)X100.007536847668665959766260586548475764640233900,000$
5Jackson Cates (R)X100.004927777060666151615945555443445816560201500,000$
MOYENNE D’ÉQUIPE99.64663774686967686460676459604947455664
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
1Mark Visentin100.00677371727571697174717254493477710251950,000$
2Mackenzie Blackwood99.00717373706674687169727549456075690214950,000$
Rayé
1Michael Giugovaz100.00515951575750645047546444444520540221600,000$
2Jack LaFontaine (R)100.00595565484167614950645641416319540193400,000$
MOYENNE D’ÉQUIPE99.7562656562606666606065674745514862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67668070378057CAN501700,000$


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
1Frederik GauthierBlackhawksC57356095900761192818915612.46%36134223.54922314620300021855253.12%20334830101.4239000777
2Mikhail GrigorenkoIcehogs (Chi)LW8028437119180110782116612313.27%38127815.984711251522358632356.45%624525011.1103000423
3J.T. BrownIcehogs (Chi)RW69283765-631586902406913811.67%53124518.056121822111101141582150.00%1004429211.0401100433
4Andrew MangiapaneIcehogs (Chi)LW652535609360117881815610313.81%27131820.2978152319210141311254.05%1112618000.9133000524
5Michael ChaputIcehogs (Chi)C80253459-13200811022276812511.01%30111813.9817814820001443152.44%9655018001.0601000335
6Hudson FaschingIcehogs (Chi)RW7234235716340111851954410217.44%24115716.08527231880001143041.38%584417020.9801000633
7Nick MattsonIcehogs (Chi)D801046561584014114913044567.69%115213526.706612323121232226310.00%04882000.5200000143
8Tanner RichardBlackhawksC5919345311435104116151589012.58%36106318.0367131915630351333150.96%7302721011.0039000323
9Mike ReillyIcehogs (Chi)D72941501294010515612248567.38%111184625.643710212690111187110.00%04468000.5401000103
10Stefan MatteauIcehogs (Chi)LW30132740-8160514313136739.92%1466722.268715241030110762042.44%1723212001.2001000040
11Mike AmadioBlackhawksRW22172239820193197255417.53%1343319.7177141968000032165.38%262310001.8012000171
12Patrick SieloffIcehogs (Chi)D80924333500911019736389.28%81161220.15325102170223158010.00%01544000.4100000121
13Kurtis GabrielIcehogs (Chi)RW66171330-61205931117316914.53%156529.88224523000002154.55%111417010.9200000301
14Julius HonkaIcehogs (Chi)D78226281100781166722352.99%76153219.6503351940002163010.00%01542000.3700000011
15Myles BellIcehogs (Chi)LW8071522826053448729538.05%105737.17000035000000239.29%56187000.7700000001
16Duncan SiemensIcehogs (Chi)D7521517036048542820147.14%4387211.63123337000024000.00%0622000.3901000000
17Mattias JanmarkIcehogs (Chi)LW805121734027317117417.04%125436.800000130002472162.50%321512000.6300000012
18Nick PaulIcehogs (Chi)LW809817-1440243979293211.39%155206.51011330000002251.11%45198000.6500000101
19Andrew PoturalskiIcehogs (Chi)C7231013124031312372213.04%123384.700332310000111153.14%17549000.7700000110
20Nikita ScherbakIcehogs (Chi)RW607411-360361441151617.07%73676.1300000000001166.67%665000.6000000000
21Patrick RussellIcehogs (Chi)RW807310-61001392381430.43%63143.93000050000131033.33%964000.6400000010
22Dillon DubeIcehogs (Chi)C61459-62030243161612.90%93786.21000110000000052.63%13354000.4800000000
23Jeremy DaviesIcehogs (Chi)D80189-10801739278113.70%237409.2600002000055100.00%0315000.2400000000
24Calle AnderssonIcehogs (Chi)D800668240344317680.00%417048.8100004000059000.00%0122000.1700000000
25Clark BishopIcehogs (Chi)C18224-700612171311.76%222812.700111230000101048.23%14111000.3500000000
26Zach WhitecloudIcehogs (Chi)D66044-120011164200.00%83244.910000000003000.00%006000.2500000000
27JJ. PiccinichIcehogs (Chi)RW53011020623020.00%1661.25000080001900100.00%100000.3000000000
28Robert HaggBlackhawksD2011100342010.00%74321.7301101100003000.00%002000.4600000000
29Jackson CatesIcehogs (Chi)C91011004760116.67%1879.7400000000000035.14%3711000.2300000000
30Kristian ReichelIcehogs (Chi)C7000-220971120.00%38111.6500000000000039.47%3822000.00%00000000
31Ross JohnstonIcehogs (Chi)LW66000-300611100.00%0510.7800000000036007.69%1300000.00%00000000
Statistiques d’équipe totales ou en moyenne18793195598785159810158716822708842145411.78%8692364412.586810717529824928917461822382351.59%4954562553360.741032100414342
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
1Mark VisentinIcehogs (Chi)75412180.8803.7941210026021691098310.50028736302
2Mackenzie BlackwoodIcehogs (Chi)214420.8744.447430055435218101.0005773000
Statistiques d’équipe totales ou en moyenne964525100.8793.894864003152604131641338079302


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond 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 10Link
Andrew Mangiapane (contrat à 1 volet)Icehogs (Chi)LW211996-01-01Yes184 Lbs5 ft10NoNoNo3Pro & Farm975,000$975,000$0$No1,500,000$2,000,000$Lien
Andrew PoturalskiIcehogs (Chi)C231994-01-01Yes183 Lbs5 ft10NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Calle AnderssonIcehogs (Chi)D231994-01-01Yes211 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No650,000$
Clark BishopIcehogs (Chi)C211996-01-01Yes199 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Dillon DubeIcehogs (Chi)C191998-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Duncan SiemensIcehogs (Chi)D241993-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm850,000$0$0$No
Hudson FaschingIcehogs (Chi)RW221995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoLien
J.T. Brown (sur la masse salariale)Icehogs (Chi)RW271990-01-01No170 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$Yes
JJ. PiccinichIcehogs (Chi)RW211996-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm465,000$0$0$No575,000$Lien
Jack LaFontaineIcehogs (Chi)G191998-01-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm400,000$0$0$No500,000$550,000$Lien
Jackson CatesIcehogs (Chi)C201997-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Jeremy DaviesIcehogs (Chi)D211996-01-01Yes181 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Julius HonkaIcehogs (Chi)D211996-01-01Yes180 Lbs5 ft11NoNoNo3Pro & Farm850,000$0$0$No950,000$1,000,000$Lien
Kristian ReichelIcehogs (Chi)C191998-01-01Yes168 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Kurtis GabrielIcehogs (Chi)RW241993-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No600,000$Lien
Mackenzie BlackwoodIcehogs (Chi)G211996-01-01No225 Lbs6 ft4NoNoNo4Pro & Farm950,000$0$0$No1,250,000$1,750,000$2,000,000$Lien
Mark VisentinIcehogs (Chi)G251992-01-01No201 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Mattias JanmarkIcehogs (Chi)LW251992-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Michael ChaputIcehogs (Chi)C251992-01-01No197 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Michael GiugovazIcehogs (Chi)G221995-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Mike ReillyIcehogs (Chi)D251992-01-01No191 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Mikhail GrigorenkoIcehogs (Chi)LW231994-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No985,000$Lien
Mitchell ChaffeeIcehogs (Chi)RW191998-01-01Yes201 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Myles BellIcehogs (Chi)LW241993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$NoLien
Nick MattsonIcehogs (Chi)D261991-01-01No189 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Nick PaulIcehogs (Chi)LW221995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Nikita ScherbakIcehogs (Chi)RW211996-01-01Yes192 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No775,000$925,000$Lien
Patrick RussellIcehogs (Chi)RW241993-01-01Yes203 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Patrick SieloffIcehogs (Chi)D231994-01-01Yes192 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Ross JohnstonIcehogs (Chi)LW231994-01-01Yes235 Lbs6 ft5NoNoNo1Pro & Farm400,000$0$0$NoLien
Zach WhitecloudIcehogs (Chi)D211996-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.39193 Lbs6 ft11.61673,065$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan MatteauMichael ChaputHudson Fasching40122
2Andrew MangiapaneClark BishopKurtis Gabriel30122
3Mikhail GrigorenkoKristian ReichelPatrick Russell20122
4Myles BellStefan MatteauJJ. Piccinich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick MattsonMike Reilly40122
2Patrick SieloffJulius Honka30122
3Duncan SiemensCalle Andersson20122
4Jeremy DaviesZach Whitecloud10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan MatteauMichael ChaputHudson Fasching60122
2Andrew MangiapaneClark BishopKurtis Gabriel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick MattsonMike Reilly60122
2Patrick SieloffJulius Honka40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stefan MatteauAndrew Mangiapane60122
2Michael ChaputMikhail Grigorenko40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick MattsonMike Reilly60122
2Patrick SieloffJulius Honka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stefan Matteau60122Nick MattsonMike Reilly60122
2Andrew Mangiapane40122Patrick SieloffJulius Honka40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stefan MatteauAndrew Mangiapane60122
2Michael ChaputMikhail Grigorenko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick MattsonMike Reilly60122
2Patrick SieloffJulius Honka40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan MatteauMichael ChaputHudson FaschingNick MattsonMike Reilly
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan MatteauMichael ChaputHudson FaschingNick MattsonMike Reilly
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Janmark, Nick Paul, Ross JohnstonMattias Janmark, Nick PaulRoss Johnston
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Duncan Siemens, Calle Andersson, Jeremy DaviesDuncan SiemensCalle Andersson, Jeremy Davies
Tirs de pénalité
Stefan Matteau, Andrew Mangiapane, Michael Chaput, Mikhail Grigorenko, Hudson Fasching
Gardien
#1 : Mackenzie Blackwood, #2 : Mark Visentin


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
1Admirals6420000027207330000002061431200000714-780.66727477400851081361920288290793055187645010920735.00%25580.00%1937181651.60%905178050.84%710135252.51%171495716927561463734
2Barracuda311000011415-11100000075220100001710-330.50014243800851081361910688290793055109373260500.00%16475.00%1937181651.60%905178050.84%710135252.51%171495716927561463734
3Bears302000101218-61010000017-6201000101111020.333122032008510813619106882907930551103922621119.09%11372.73%0937181651.60%905178050.84%710135252.51%171495716927561463734
4Comets21100000871110000004221010000045-120.500812201085108136198088290793055552212416116.67%6266.67%0937181651.60%905178050.84%710135252.51%171495716927561463734
5Condors310000111284210000018531000001043150.8331217290085108136191068829079305510627206213215.38%100100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
6Crunch30200100815-720200000410-61000010045-110.167814220085108136198788290793055993320608225.00%10190.00%1937181651.60%905178050.84%710135252.51%171495716927561463734
7Devils21000100972110000005231000010045-130.750916250085108136196588290793055681018506116.67%9366.67%1937181651.60%905178050.84%710135252.51%171495716927561463734
8Eagles200000119901000000134-11000001065130.75091524008510813619798829079305569264359111.11%20100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
9Griffins31200000121111100000061520200000610-420.33312223400851081361985882907930559528225211218.18%110100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
10Heat4210100023194220000001055201010001314-160.7502338610085108136191378829079305512848378217635.29%13561.54%0937181651.60%905178050.84%710135252.51%171495716927561463734
11Little Stars21000100660110000003211000010034-130.750611170085108136197688290793055663422298337.50%11190.91%0937181651.60%905178050.84%710135252.51%171495716927561463734
12Marlies310001011213-11000000134-12100010099040.66712193100851081361910388290793055772818621218.33%9277.78%1937181651.60%905178050.84%710135252.51%171495716927561463734
13Monsters622010012524131200000910-1310010011614270.58325436800851081361922588290793055213715214632928.13%26676.92%1937181651.60%905178050.84%710135252.51%171495716927561463734
14Moose330000001394220000009721100000042261.00013203300851081361988882907930559126857600.00%4175.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
15Penguins211000007701010000025-31100000052320.5007111800851081361974882907930555813163310220.00%8362.50%0937181651.60%905178050.84%710135252.51%171495716927561463734
16Phantoms312000001216-420200000613-71100000063320.333121830008510813619948829079305510234165714428.57%8275.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
17Punishers200010017701000000123-11000100054130.750712190085108136197688290793055682610499111.11%50100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
18Rampage2020000039-61010000014-31010000025-300.0003470085108136196088290793055641418281000.00%9277.78%0937181651.60%905178050.84%710135252.51%171495716927561463734
19Reign412010001720-320200000714-721001000106440.5001728450085108136191258829079305513233366715213.33%19573.68%1937181651.60%905178050.84%710135252.51%171495716927561463734
20Rocket32000010161062100001010641100000064261.000162642008510813619103882907930559431186312216.67%9188.89%0937181651.60%905178050.84%710135252.51%171495716927561463734
21Senators641010003420143300000017893110100017125100.833345387008510813619211882907930551976546141331236.36%23386.96%0937181651.60%905178050.84%710135252.51%171495716927561463734
22Sound Tigers6320100022211311010001293321000001012-280.66722396100851081361921188290793055181653010929310.34%15286.67%0937181651.60%905178050.84%710135252.51%171495716927561463734
23Thunderbirds220000001073110000005411100000053241.0001017270085108136197288290793055472414378225.00%8362.50%1937181651.60%905178050.84%710135252.51%171495716927561463734
24Wolfpack210010001073110000005321000100054141.0001018280085108136197388290793055731616356350.00%8450.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
25Wolves312000001217-51010000036-321100000911-220.333122133008510813619978829079305511632225711436.36%11554.55%0937181651.60%905178050.84%710135252.51%171495716927561463734
Total803425074463403221840211301014162145174013120643217817711000.625340565905108510813619274188290793055260584657915833217122.12%2866377.97%8937181651.60%905178050.84%710135252.51%171495716927561463734
_Since Last GM Reset803425074463403221840211301014162145174013120643217817711000.625340565905108510813619274188290793055260584657915833217122.12%2866377.97%8937181651.60%905178050.84%710135252.51%171495716927561463734
_Vs Conference4723130412421718532241560001211284282387041121051014630.67021735557200851081361915858829079305515314923559581904724.74%1733480.35%5937181651.60%905178050.84%710135252.51%171495716927561463734
_Vs Division1810502001866422972000004624229330200140400250.6948614322900851081361963888290793055597200148396852832.94%741481.08%2937181651.60%905178050.84%710135252.51%171495716927561463734

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
80100OTW134056590527412605846579158310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8034257446340322
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4021131014162145
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4013126432178177
Derniers 10 matchs
WLOTWOTL SOWSOL
142201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3217122.12%2866377.97%8
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
882907930558510813619
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
937181651.60%905178050.84%710135252.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171495716927561463734


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 - 2022-10-2810Monsters5Icehogs4BLR1Sommaire du match
4 - 2022-10-3020Icehogs4Monsters2AWSommaire du match
6 - 2022-11-0129Admirals2Icehogs7BWSommaire du match
8 - 2022-11-0340Icehogs3Sound Tigers1AWSommaire du match
10 - 2022-11-0549Icehogs5Senators6ALSommaire du match
12 - 2022-11-0759Icehogs2Admirals8ALSommaire du match
14 - 2022-11-0974Senators3Icehogs4BWSommaire du match
17 - 2022-11-1291Sound Tigers2Icehogs7BWSommaire du match
20 - 2022-11-15108Icehogs4Barracuda6ALSommaire du match
22 - 2022-11-17120Rocket4Icehogs5BWXXSommaire du match
25 - 2022-11-20135Crunch7Icehogs2BLSommaire du match
30 - 2022-11-25157Icehogs4Marlies5ALXSommaire du match
32 - 2022-11-27169Admirals1Icehogs8BWSommaire du match
34 - 2022-11-29180Icehogs8Senators3AWSommaire du match
36 - 2022-12-01191Heat4Icehogs8BWSommaire du match
39 - 2022-12-04210Icehogs6Eagles5AWXXSommaire du match
42 - 2022-12-07217Monsters2Icehogs3BWR1Sommaire du match
45 - 2022-12-10235Icehogs4Comets5ALSommaire du match
46 - 2022-12-11244Icehogs5Wolves9ALSommaire du match
49 - 2022-12-14253Heat1Icehogs2BWSommaire du match
52 - 2022-12-17270Icehogs4Wolves2AWSommaire du match
54 - 2022-12-19279Thunderbirds4Icehogs5BWSommaire du match
59 - 2022-12-24300Little Stars2Icehogs3BWSommaire du match
62 - 2022-12-27314Icehogs5Thunderbirds3AWSommaire du match
64 - 2022-12-29325Bears7Icehogs1BLSommaire du match
66 - 2022-12-31336Icehogs4Condors3AWXXSommaire du match
68 - 2023-01-02348Crunch3Icehogs2BLSommaire du match
70 - 2023-01-04362Icehogs5Wolfpack4AWXSommaire du match
73 - 2023-01-07374Punishers3Icehogs2BLXXSommaire du match
77 - 2023-01-11398Marlies4Icehogs3BLXXSommaire du match
79 - 2023-01-13405Icehogs5Marlies4AWSommaire du match
82 - 2023-01-16421Barracuda5Icehogs7BWSommaire du match
85 - 2023-01-19439Icehogs3Barracuda4ALXXSommaire du match
87 - 2023-01-21448Penguins5Icehogs2BLSommaire du match
89 - 2023-01-23461Icehogs3Little Stars4ALXSommaire du match
91 - 2023-01-25468Icehogs7Bears6AWXXSommaire du match
92 - 2023-01-26480Condors3Icehogs2BLXXSommaire du match
96 - 2023-01-30501Devils2Icehogs5BWSommaire du match
98 - 2023-02-01510Icehogs6Rocket4AWSommaire du match
102 - 2023-02-05529Senators3Icehogs6BWSommaire du match
105 - 2023-02-08547Icehogs6Reign3AWSommaire du match
106 - 2023-02-09554Senators2Icehogs7BWSommaire du match
110 - 2023-02-13576Monsters3Icehogs2BLR1Sommaire du match
115 - 2023-02-18600Griffins1Icehogs6BWSommaire du match
119 - 2023-02-22617Icehogs6Sound Tigers4AWSommaire du match
121 - 2023-02-24627Eagles4Icehogs3BLXXSommaire du match
126 - 2023-03-01653Moose4Icehogs5BWSommaire du match
128 - 2023-03-03665Icehogs4Griffins6ALSommaire du match
130 - 2023-03-05676Icehogs4Bears5ALSommaire du match
131 - 2023-03-06681Rampage4Icehogs1BLSommaire du match
135 - 2023-03-10705Wolves6Icehogs3BLSommaire du match
137 - 2023-03-12715Icehogs1Sound Tigers7ALSommaire du match
139 - 2023-03-14729Icehogs4Reign3AWXSommaire du match
140 - 2023-03-15732Comets2Icehogs4BWSommaire du match
143 - 2023-03-18749Icehogs4Senators3AWXSommaire du match
145 - 2023-03-20757Wolfpack3Icehogs5BWSommaire du match
147 - 2023-03-22765Icehogs2Rampage5ALSommaire du match
151 - 2023-03-26783Icehogs4Admirals2AWSommaire du match
152 - 2023-03-27790Reign6Icehogs2BLSommaire du match
156 - 2023-03-31811Condors2Icehogs6BWSommaire du match
158 - 2023-04-02820Icehogs4Moose2AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2023-04-05834Moose3Icehogs4BWSommaire du match
162 - 2023-04-06841Icehogs2Griffins4ALSommaire du match
166 - 2023-04-10861Rocket2Icehogs5BWSommaire du match
167 - 2023-04-11868Icehogs5Monsters4AWXR1Sommaire du match
170 - 2023-04-14884Icehogs8Heat7AWXSommaire du match
171 - 2023-04-15888Sound Tigers5Icehogs2BLSommaire du match
174 - 2023-04-18903Icehogs6Phantoms3AWSommaire du match
176 - 2023-04-20913Icehogs1Admirals4ALSommaire du match
178 - 2023-04-22920Admirals3Icehogs5BWSommaire du match
180 - 2023-04-24928Icehogs5Heat7ALSommaire du match
183 - 2023-04-27944Phantoms5Icehogs3BLSommaire du match
185 - 2023-04-29954Icehogs5Penguins2AWSommaire du match
188 - 2023-05-02970Phantoms8Icehogs3BLSommaire du match
189 - 2023-05-03975Icehogs4Devils5ALXSommaire du match
191 - 2023-05-05981Icehogs7Monsters8ALXXR1Sommaire du match
196 - 2023-05-101001Sound Tigers2Icehogs3BWXSommaire du match
201 - 2023-05-151017Reign8Icehogs5BLSommaire du match
202 - 2023-05-161021Icehogs4Crunch5ALXSommaire du match
205 - 2023-05-191040Icehogs5Punishers4AWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,87837,440
Assistance PCT93.60%93.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2808 - 93.60% 83,536$3,341,447$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,254,542$ 2,989,000$ 2,420,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,170$ 2,536,754$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,908$ 0$




Icehogs Leaders statistiques (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 (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