IceHogs
GP: 80 | W: 37 | L: 36 | OTL: 7 | P: 81
GF: 320 | GA: 321 | PP%: 22.46% | PK%: 78.16%
DG: Pierre-Luc Dionne | Morale : 30 | Moyenne d'Équipe : 63
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Martins KarsumsX100.007333747472727372758475626870642342720291500,000$
2Michael Chaput (R)X100.006944787467706973697067637049464435680231700,000$
3Tanner Richard (R) (A)X100.007944707274557064677670666646454540670222700,000$
4Teemu Pulkkinen (R)X100.006524737470756876736569607646454850670231700,000$
5Rhett RakhshaniX100.006630717266707367767066667051503150660271850,000$
6Oliver Bjorkstrand (R)X100.006730846967687665606386476345427040660202700,000$
7Mikhail Grigorenko (R)X100.005529737163736763797573535643435150650211900,000$
8Mattias Janmark (R)X100.005841826355717166697771496249484750650232675,000$
9Sam Reinhart (R)X100.005835736661676972767971505243417526650191500,000$
10Curtis Lazar (R)X100.006039787064646368656573566642426118640202500,000$
11Myles Bell (R)X100.006526695765636763636983486147474219630223700,000$
12Nick Paul (R)X100.006244786268626463636569536242425618620203700,000$
13Petter Granberg (R)X100.008134787575816971537664735754454521720232650,000$
14Ben Harpur (R)X100.007443737378775565426861705146425929680204700,000$
15Nick Mattson (R)X100.007034697468687162527564685961553728670242800,000$
16Mike Reilly (R)X100.006519717465757167536772635748445040660232800,000$
17Patrick Sieloff (R)X100.006936657466675665486258714847434640650212750,000$
18Julius Honka (R)X100.006744775662677059525960706041416447630191500,000$
Rayé
1Stefan Matteau (R)X84.207245757675757075647373616448445219690213800,000$
2Kurtis Gabriel (R)X100.007654746676567559536261515947474820610222600,000$
3Nikita Scherbak (R)X100.006129745177615962596167436141416032580191500,000$
4Patrick Russell (R)X100.004644676453696950596054405347483719550222500,000$
5Ross Johnston (R)X100.008154615475467151454955385947476520540212500,000$
6JJ. Piccinich (R)X100.006736555762435856435853534741416219530191500,000$
7Clark Bishop (R)X100.004532815555675042576247515341416219520191500,000$
8Duncan Siemens (R)X100.006935676871666158426155715046445019640221800,000$
9Calle Andersson (R)X100.006619716355596066476852605243434620600211600,000$
10Zach Whitecloud (R)X100.005527606258575751296039534843415017540192500,000$
MOYENNE D'ÉQUIPE99.44663672676766666358676557594745513063
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Joe Cannata100.00747472646974766671736660523148700
2Mackenzie Blackwood (R)100.00706672686373656966707443417236660
Rayé
1Michael Giugovaz100.00475745535145574643515942425819490
MOYENNE D'ÉQUIPE100.0064666362616466606065664845543462
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67648070378057CAN483700,000$


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
1Stefan MatteauIceHogs (Chi)LW74384785154151181282189113517.43%39144019.46812202420110161561245.78%14463829011.1827100365
2Tanner RichardIceHogs (Chi)C8034508415660148148194779617.53%30138017.251117283122210161057047.03%13123522011.2202000365
3Craig CunninghamBlackhawksLW69394584125151281082167414818.06%35149521.681016263122000022133247.03%2023826031.1207000522
4Dustin KohnBlackhawksD53145468-9660102122139616910.07%71138226.0961521271950112183110.00%05246100.9800000434
5Teemu PulkkinenIceHogs (Chi)LW80353065-6320107992066512516.99%31128616.0968142515001171452657.50%803331001.0111000434
6Martins KarsumsIceHogs (Chi)RW45313465-326082892115310914.69%14102622.82712193715202261712556.83%3663425001.2737000444
7Michael ChaputIceHogs (Chi)C63263864-42201001081885311313.83%38115418.3389171916012371463147.94%11412723001.1134000331
8Oliver BjorkstrandIceHogs (Chi)RW80133144-314010270121447510.74%22119514.954151926200000000048.39%623820000.7411000021
9Ben HarpurIceHogs (Chi)D7673542-1511151321277839538.97%124196925.914913172680001276100.00%02651000.4300001010
10Sam ReinhartIceHogs (Chi)RW79132336-123605449128487710.16%2690411.450339550000120048.33%602816000.8022000011
11Rhett RakhshaniIceHogs (Chi)RW8015203502409065121488012.40%1897112.141346800000203262.50%322720000.7200000204
12Mikhail GrigorenkoIceHogs (Chi)C801319323180456613748929.49%1080010.01000030001951054.07%307177000.8000000100
13Mattias JanmarkIceHogs (Chi)LW801616329603850121297813.22%117018.761014120000181144.44%181812000.9100000121
14Mike ReillyIceHogs (Chi)D69523281748063888031256.25%64133919.4123591640001175200.00%03330000.4200000011
15Nick MattsonIceHogs (Chi)D77320236560991029532363.16%92158920.6511252040112221000.00%02851000.2900000001
16Petter GranbergIceHogs (Chi)D4031821-1114070865530325.45%76108127.0314591410222153000.00%01836000.3900000010
17Curtis LazarIceHogs (Chi)C56111021-320323965164516.92%94918.7700006000041043.08%253149000.8600000030
18Patrick SieloffIceHogs (Chi)D80313161674088745325125.66%58110813.86000145000183200.00%0737000.2900000001
19Julius HonkaIceHogs (Chi)D77010101622040604220220.00%4591911.94000020000108000.00%0242000.2200000000
20Kurtis GabrielIceHogs (Chi)RW42628360321727121522.22%23207.6300004000051057.14%1437000.5000000001
21Garnet HathawayBlackhawksRW406604054115140.00%17117.9702229000030063.64%1160001.6700000000
22Nikita ScherbakIceHogs (Chi)RW6231448031172151314.29%74216.800000110000260036.36%3304000.1901000200
23Myles BellIceHogs (Chi)LW34303-22018631799.68%31865.50000040000701100.00%270000.3200000001
24Duncan SiemensIceHogs (Chi)D30011826014309370.00%1633111.060000400008000.00%024000.0600000000
25Ross JohnstonIceHogs (Chi)LW6000000000000.00%050.840000000004000.00%000000.0000000000
26Patrick RussellIceHogs (Chi)RW22000000000000.00%0200.9200002000012000.00%400000.0000000000
27Zach WhitecloudIceHogs (Chi)D8000000000000.00%0131.730000000002000.00%000000.0000000000
28Nick PaulIceHogs (Chi)LW23000-220527110.00%0572.51000050000200100.00%110000.0000000000
29Calle AnderssonIceHogs (Chi)D18000020220100.00%4784.370000000004000.00%000000.0000000000
30Clark BishopIceHogs (Chi)C2000100100000.00%12010.4800000000000050.00%1401000.0000000000
Stats d'équipe Total ou en Moyenne15893315468775577915174617562574918148112.86%8472376714.967012919928225333912442369312148.04%5358532549150.741232101323837
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
1Joe CannataIceHogs (Chi)62312150.8893.603500802101892976520.684196114341
2Mackenzie BlackwoodIceHogs (Chi)44151830.8724.272121001511178595100.545113247001
3Michael GiugovazIceHogs (Chi)31100.7827.7913100177842100.000032000
Stats d'équipe Total ou en Moyenne109474080.8803.9457538037831481613720.633309663342


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Ben HarpurIceHogs (Chi)D201995-01-01Yes185 Lbs6 ft5NoNoNo4Pro & Farm700,000$0$0$No900,000$1,000,000$1,200,000$
Calle AnderssonIceHogs (Chi)D211994-01-01Yes211 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Clark BishopIceHogs (Chi)C191996-01-01Yes199 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Curtis LazarIceHogs (Chi)C201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No525,000$
Duncan SiemensIceHogs (Chi)D221993-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
JJ. PiccinichIceHogs (Chi)RW191996-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Joe CannataIceHogs (Chi)G251990-01-01No200 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$No
Julius HonkaIceHogs (Chi)D191996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Kurtis GabrielIceHogs (Chi)RW221993-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No700,000$
Mackenzie BlackwoodIceHogs (Chi)G191996-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Martins KarsumsIceHogs (Chi)RW291986-01-01No198 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Mattias JanmarkIceHogs (Chi)LW231992-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm675,000$0$0$No775,000$
Michael ChaputIceHogs (Chi)C231992-01-01Yes197 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Michael GiugovazIceHogs (Chi)G201995-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Mike ReillyIceHogs (Chi)D231992-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$
Mikhail GrigorenkoIceHogs (Chi)C211994-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
Myles BellIceHogs (Chi)LW221993-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$800,000$
Nick MattsonIceHogs (Chi)D241991-01-01Yes189 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No900,000$
Nick PaulIceHogs (Chi)LW201995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Nikita ScherbakIceHogs (Chi)RW191996-01-01Yes192 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Oliver BjorkstrandIceHogs (Chi)RW201995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No900,000$
Patrick RussellIceHogs (Chi)RW221993-01-01Yes203 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Patrick SieloffIceHogs (Chi)D211994-01-01Yes192 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No850,000$
Petter GranbergIceHogs (Chi)D231992-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No650,000$
Rhett RakhshaniIceHogs (Chi)RW271988-01-01No190 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$No
Ross JohnstonIceHogs (Chi)LW211994-01-01Yes235 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sam ReinhartIceHogs (Chi)RW191996-01-01Yes192 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Stefan Matteau (Sur la Masse Salariale)IceHogs (Chi)LW211994-01-01Yes215 Lbs6 ft1NoNoNo3Pro & Farm800,000$0$0$Yes900,000$1,000,000$
Tanner RichardIceHogs (Chi)C221993-01-01Yes176 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No900,000$
Teemu PulkkinenIceHogs (Chi)LW231992-01-01Yes183 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Zach WhitecloudIceHogs (Chi)D191996-01-01Yes209 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3121.55195 Lbs6 ft11.71643,548$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenMichael ChaputMartins Karsums40122
2Mattias JanmarkTanner RichardOliver Bjorkstrand30122
3Myles BellMikhail GrigorenkoRhett Rakhshani20122
4Nick PaulCurtis LazarSam Reinhart10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur40122
2Nick MattsonMike Reilly30122
3Patrick SieloffJulius Honka20122
4Petter GranbergBen Harpur10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenMichael ChaputMartins Karsums60122
2Mattias JanmarkTanner RichardOliver Bjorkstrand40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martins KarsumsMichael Chaput60122
2Tanner RichardTeemu Pulkkinen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Martins Karsums60122Petter GranbergBen Harpur60122
2Michael Chaput40122Nick MattsonMike Reilly40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martins KarsumsMichael Chaput60122
2Tanner RichardTeemu Pulkkinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenMichael ChaputMartins KarsumsPetter GranbergBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenMichael ChaputMartins KarsumsPetter GranbergBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rhett Rakhshani, Mikhail Grigorenko, Sam ReinhartRhett Rakhshani, Mikhail GrigorenkoSam Reinhart
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Sieloff, Julius Honka, Nick MattsonPatrick SieloffJulius Honka, Nick Mattson
Tirs de Pénalité
Martins Karsums, Michael Chaput, Tanner Richard, Teemu Pulkkinen, Oliver Bjorkstrand
Gardien
#1 : Mackenzie Blackwood, #2 : Joe Cannata


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals633000002326-33210000013121312000001014-460.5002337600084136931117889386977644187639112724312.50%381171.05%2871179248.60%912184449.46%635134047.39%172495316747661455724
2Barracuda614000101825-7311000101110130300000715-840.3331828460084136931120189386977644203574411924625.00%22768.18%0871179248.60%912184449.46%635134047.39%172495316747661455724
3Bears303000001121-101010000056-120200000615-900.00011203100841369311105893869776449226357120420.00%15566.67%0871179248.60%912184449.46%635134047.39%172495316747661455724
4Checkers20101000660100010003211010000034-120.5006121800841369311648938697764479256498450.00%30100.00%0871179248.60%912184449.46%635134047.39%172495316747661455724
5Comets312000001317-41010000024-2211000001113-220.33313233600841369311988938697764410623228012650.00%11463.64%0871179248.60%912184449.46%635134047.39%172495316747661455724
6Condors31200000161601010000035-2211000001311220.3331628441084136931195893869776441213626539222.22%13561.54%0871179248.60%912184449.46%635134047.39%172495316747661455724
7Crunch211000001082110000005141010000057-220.500101626008413693116789386977644692522367342.86%11372.73%0871179248.60%912184449.46%635134047.39%172495316747661455724
8Devils211000006511010000034-11100000031220.500611170084136931168893869776446619163511327.27%8187.50%0871179248.60%912184449.46%635134047.39%172495316747661455724
9Eagles2110000010731010000046-21100000061520.5001015250084136931170893869776445022124310110.00%6183.33%0871179248.60%912184449.46%635134047.39%172495316747661455724
10Griffins412000011516-120200000510-521000001106430.375152742008413693111308938697764411836699515426.67%28582.14%0871179248.60%912184449.46%635134047.39%172495316747661455724
11Heat2010010069-31000010034-11010000035-210.25069150084136931172893869776447726164810110.00%8275.00%0871179248.60%912184449.46%635134047.39%172495316747661455724
12Influenza3210000016881100000061521100000107340.667162440008413693119089386977644954130569111.11%15193.33%0871179248.60%912184449.46%635134047.39%172495316747661455724
13Little Stars302000101013-31010000024-22010001089-120.333101727008413693111088938697764411631327114321.43%16568.75%0871179248.60%912184449.46%635134047.39%172495316747661455724
14Monsters723010012327-4421010001410430200001917-870.500233659008413693112048938697764423681641492328.70%32875.00%0871179248.60%912184449.46%635134047.39%172495316747661455724
15Moose31200000111102020000069-31100000052320.333111829008413693119889386977644892340757228.57%20195.00%1871179248.60%912184449.46%635134047.39%172495316747661455724
16Penguins220000001248110000008261100000042241.000122133008413693116189386977644642814404125.00%70100.00%1871179248.60%912184449.46%635134047.39%172495316747661455724
17Phantoms30100011810-22010001067-11000000123-130.50081018108413693119989386977644854440831417.14%20480.00%0871179248.60%912184449.46%635134047.39%172495316747661455724
18Punishers211000001082110000005141010000057-220.5001018280084136931166893869776446120104411218.18%5180.00%0871179248.60%912184449.46%635134047.39%172495316747661455724
19Rampage31100001812-41000000123-12110000069-330.5008122000841369311103893869776441053418591317.69%9277.78%0871179248.60%912184449.46%635134047.39%172495316747661455724
20Reign320010002014622000000151051000100054161.00020345400841369311908938697764499343666251040.00%18383.33%0871179248.60%912184449.46%635134047.39%172495316747661455724
21Rocket302010001218-61010000035-220101000913-420.33312223400841369311798938697764410631405614321.43%20860.00%0871179248.60%912184449.46%635134047.39%172495316747661455724
22Senators321000001394211000007611100000063340.6671322350084136931194893869776441022228879444.44%14285.71%0871179248.60%912184449.46%635134047.39%172495316747661455724
23Sound Tigers65100000271710440000001991021100000880100.8332745720084136931119089386977644188434612820525.00%23195.65%0871179248.60%912184449.46%635134047.39%172495316747661455724
24Thunderbirds2000000279-21000000134-11000000145-120.5007121900841369311588938697764471211834400.00%9188.89%0871179248.60%912184449.46%635134047.39%172495316747661455724
25Wolfpack22000000954110000005321100000042241.00091524008413693116789386977644651718538112.50%9277.78%0871179248.60%912184449.46%635134047.39%172495316747661455724
Total80303604136320321-1401716021221581382040132002014162183-21810.50632053285220841369311255589386977644265082879317573257322.46%3808378.16%4871179248.60%912184449.46%635134047.39%172495316747661455724
_Since Last GM Reset80303604136320321-1401716021221581382040132002014162183-21810.50632053285220841369311255589386977644265082879317573257322.46%3808378.16%4871179248.60%912184449.46%635134047.39%172495316747661455724
_Vs Conference50182403023200209-9261211010201069412246130200394115-21490.49020032952920841369311155989386977644161951556110782044321.08%2645977.65%3871179248.60%912184449.46%635134047.39%172495316747661455724
_Vs Division19610010116478-1410530101038326917000012646-20170.447641011650084136931158389386977644626201199395711115.49%922671.74%2871179248.60%912184449.46%635134047.39%172495316747661455724

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8081L232053285225552650828793175720
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8030364136320321
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017162122158138
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4013202014162183
Derniers 10 Matchs
WLOTWOTL SOWSOL
360010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3257322.46%3808378.16%4
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
89386977644841369311
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
871179248.60%912184449.46%635134047.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172495316747661455724


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2020-10-107IceHogs5Monsters8LR1Sommaire du Match
4 - 2020-10-1219Monsters3IceHogs2LSommaire du Match
6 - 2020-10-1434Sound Tigers3IceHogs4WSommaire du Match
8 - 2020-10-1643IceHogs4Admirals8LR1Sommaire du Match
12 - 2020-10-2060Admirals2IceHogs3WSommaire du Match
14 - 2020-10-2279Barracuda4IceHogs5WXXSommaire du Match
17 - 2020-10-2595IceHogs1Barracuda3LSommaire du Match
20 - 2020-10-28109Sound Tigers1IceHogs5WSommaire du Match
22 - 2020-10-30119IceHogs3Rocket8LSommaire du Match
24 - 2020-11-01133Monsters3IceHogs6WR1Sommaire du Match
26 - 2020-11-03137IceHogs6Condors8LSommaire du Match
29 - 2020-11-06159Sound Tigers2IceHogs4WSommaire du Match
31 - 2020-11-08171IceHogs2Monsters3LXXR1Sommaire du Match
33 - 2020-11-10179IceHogs4Admirals2WSommaire du Match
35 - 2020-11-12192Monsters2IceHogs3WR1Sommaire du Match
39 - 2020-11-16211IceHogs3Checkers4LSommaire du Match
41 - 2020-11-18218Punishers1IceHogs5WSommaire du Match
43 - 2020-11-20230IceHogs3Barracuda7LSommaire du Match
45 - 2020-11-22243Little Stars4IceHogs2LSommaire du Match
49 - 2020-11-26266Devils4IceHogs3LSommaire du Match
51 - 2020-11-28276IceHogs3Barracuda5LSommaire du Match
54 - 2020-12-01291Heat4IceHogs3LXSommaire du Match
57 - 2020-12-04307IceHogs3Heat5LSommaire du Match
60 - 2020-12-07319Wolfpack3IceHogs5WSommaire du Match
63 - 2020-12-10339IceHogs7Griffins2WR2Sommaire du Match
64 - 2020-12-11346Sound Tigers3IceHogs6WSommaire du Match
68 - 2020-12-15365Checkers2IceHogs3WXSommaire du Match
73 - 2020-12-20391Admirals4IceHogs5WR1Sommaire du Match
77 - 2020-12-24411IceHogs6Rocket5WXSommaire du Match
78 - 2020-12-25418Influenza1IceHogs6WSommaire du Match
82 - 2020-12-29434IceHogs2Admirals4LR1Sommaire du Match
83 - 2020-12-30443Penguins2IceHogs8WSommaire du Match
88 - 2021-01-04464IceHogs6Eagles1WSommaire du Match
89 - 2021-01-05470Monsters2IceHogs3WXR1Sommaire du Match
92 - 2021-01-08485IceHogs4Wolfpack2WSommaire du Match
93 - 2021-01-09496Admirals6IceHogs5LR1Sommaire du Match
98 - 2021-01-14518IceHogs7Condors3WSommaire du Match
99 - 2021-01-15522Rampage3IceHogs2LXXSommaire du Match
103 - 2021-01-19537IceHogs5Reign4WXR1Sommaire du Match
106 - 2021-01-22547Moose5IceHogs4LSommaire du Match
110 - 2021-01-26573IceHogs5Crunch7LSommaire du Match
111 - 2021-01-27576Thunderbirds4IceHogs3LXXSommaire du Match
114 - 2021-01-30597IceHogs6Senators3WSommaire du Match
115 - 2021-01-31602Eagles6IceHogs4LSommaire du Match
118 - 2021-02-03617IceHogs8Comets4WSommaire du Match
120 - 2021-02-05626IceHogs3Devils1WSommaire du Match
121 - 2021-02-06630Barracuda1IceHogs6WSommaire du Match
124 - 2021-02-09651IceHogs4Thunderbirds5LXXSommaire du Match
125 - 2021-02-10656Reign7IceHogs10WR1Sommaire du Match
128 - 2021-02-13673IceHogs4Bears10LR2Sommaire du Match
131 - 2021-02-16682Bears6IceHogs5LSommaire du Match
133 - 2021-02-18695IceHogs3Comets9LSommaire du Match
135 - 2021-02-20707Comets4IceHogs2LSommaire du Match
137 - 2021-02-22719IceHogs2Phantoms3LXXSommaire du Match
140 - 2021-02-25734Reign3IceHogs5WR1Sommaire du Match
143 - 2021-02-28745IceHogs2Monsters6LR1Sommaire du Match
146 - 2021-03-03760Phantoms3IceHogs1LSommaire du Match
149 - 2021-03-06777IceHogs5Sound Tigers4WSommaire du Match
151 - 2021-03-08785IceHogs5Punishers7LSommaire du Match
152 - 2021-03-09789Moose4IceHogs2LSommaire du Match
157 - 2021-03-14812Phantoms4IceHogs5WXXSommaire du Match
158 - 2021-03-15819IceHogs4Penguins2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
161 - 2021-03-18830IceHogs3Sound Tigers4LSommaire du Match
162 - 2021-03-19838IceHogs3Griffins4LXXR2Sommaire du Match
164 - 2021-03-21846Condors5IceHogs3LSommaire du Match
167 - 2021-03-24862IceHogs5Moose2WSommaire du Match
168 - 2021-03-25868Barracuda5IceHogs0LSommaire du Match
172 - 2021-03-29890Griffins4IceHogs2LR2Sommaire du Match
176 - 2021-04-02908IceHogs3Rampage7LSommaire du Match
178 - 2021-04-04916Senators3IceHogs5WSommaire du Match
182 - 2021-04-08935IceHogs3Influenza5LSommaire du Match
184 - 2021-04-10943Senators3IceHogs2LSommaire du Match
186 - 2021-04-12950IceHogs4Little Stars3WXXSommaire du Match
188 - 2021-04-14961IceHogs7Influenza2WSommaire du Match
189 - 2021-04-15971Griffins6IceHogs3LR2Sommaire du Match
191 - 2021-04-17981IceHogs3Rampage2WSommaire du Match
195 - 2021-04-21998Rocket5IceHogs3LSommaire du Match
198 - 2021-04-241019Crunch1IceHogs5WSommaire du Match
201 - 2021-04-271029IceHogs4Little Stars6LSommaire du Match
203 - 2021-04-291036IceHogs2Bears5LR2Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance53,32727,178
Assistance PCT66.66%67.95%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2013 - 67.09% 70,262$2,810,472$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,752,847$ 1,995,000$ 1,887,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
9,341$ 2,040,318$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 13,146$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT