Influenza
GP: 80 | W: 35 | L: 42 | OTL: 3 | P: 73
GF: 293 | GA: 343 | PP%: 14.38% | PK%: 77.40%
DG: Pascal Landry | Morale : 37 | 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
1Bo Horvat (R)X100.007830827184737674697488607045426559720202900,000$
2Tim Schaller (R) (C)X100.008031747974717774677670666766623659710251995,000$
3Linden Vey (R)X100.007133777568727473767675616852494150700241750,000$
4Ryan Dzingel (R)X100.00673879717172686769707063705755462268X0232800,000$
5JT Compher (R)X100.006328837276717576606479556845426521680202800,000$
6Colton Sissons (R)X100.00755170727266687277686364714544456567X0223700,000$
7Lucas Lessio (R)X100.005931757267706973616779616546444757670222550,000$
8Justin Bailey (R)X100.006634835974686471727083496444426358670202900,000$
9Tom Kuhnhackl (R)X100.006131747371696969616865637045453951650231700,000$
10Pavel Zacha (R)X100.006127775873625968656984496440408347640182500,000$
11Christian Fischer (R)X100.006733745380656063606782435940408232630182500,000$
12Aleksi Saarela (R)X100.005325687650554570556066447140408044590182500,000$
13Tim Erixon (R)X100.007240837069796973597064756353463935700242950,000$
14Shane SimsX100.006724797672797268597470726266492637700271500,000$
15Dmitry Sinitsyn (R)X100.006525827768677675417356755545436038690211999,999$
16Haydn Fleury (R)X100.006835866972577260336652845143416749680191500,000$
17Brett Pesce (R)X100.005930768166647273388159684947435238670212650,000$
18Jeff Corbett (R)X100.006535825449716460386972625544435026630212600,000$
Rayé
1Shane Prince (R)X100.006435796377707163716474526654534124650231650,000$
2Johan Larsson (R)X100.00613672716068636672736946604545451964X0231600,000$
3Mitchell Moroz (R)X100.007234666071516963566565605443434519610211600,000$
4Henri Ikonen (R)X100.006841606259446962556362544242424919580202500,000$
5Jakob Forsbacka-Karlsson (R)X100.00633460645154494956476548494242632054X0192600,000$
6Zack MacEwen (R)X100.005939565765566452475657464842435220540192500,000$
7Conner Bleackley (R)X100.00602557476247465548575843514141641952X0191350,000$
8Jaden Lindo (R)X100.005928594860494857475658445241416220520191300,000$
9Radovan Bondra (R)X100.006121534749395454355649453740406019480182400,000$
10Neal Pionk (R)X96.796033867654596983387964714743446654670202500,000$
11Dennis Gilbert (R)X100.006533675951585842336243663141425719570192500,000$
12Brycen Martin (R)X100.005126576448394763196542603341416420540192300,000$
13Simon Bourque (R)X100.00352849514139545123573254404040652046X0182400,000$
MOYENNE D'ÉQUIPE99.90643272656561646554676558574644553563
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
1Al Montoya100.00767578697278777673787072702266751
2Malcolm Subban100.00677283676577846765876651465261710
Rayé
1Charlie Lindgren (R)100.0069737653608875534975734946642065X0
2Jamie Phillips100.0073657854547570565174604644391962X0
MOYENNE D'ÉQUIPE100.0071717961638077636079675552444268
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Larry Robinson77935682998345CAN601500,000$


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
1Bo HorvatInfluenza (Tor)C803764101-103001611672608415314.23%48178522.32815233627831492126149.13%26954141101.13380008113
2Tim SchallerInfluenza (Tor)LW7239498811760113922818814313.88%35142919.86410142416110181834047.37%1336130111.2315000573
3JT CompherInfluenza (Tor)LW79323769-9240115922329716113.79%33130416.516814292110005544140.00%554422001.0614000213
4Linden VeyInfluenza (Tor)RW692932616520143871915411515.18%30129118.72538232191232673357.28%1033717000.9413000426
5Colton SissonsInfluenza (Tor)C802525503500151133165519415.15%24119614.954151213211291501051.66%8152620000.8404000502
6Pavel ZachaInfluenza (Tor)C80162642-12500937696356016.67%18104113.020447930001261148.31%652157000.8100000111
7Lucas LessioInfluenza (Tor)LW80221941628068561794712712.29%2289911.240003271235811038.46%263914000.9100000210
8Neal PionkInfluenza (Tor)D68435392580518712347423.25%83131419.3336921183000362000.00%02436000.5900000101
9Ryan DzingelInfluenza (Tor)LW7416213771806964141377011.35%2487511.8312353301181284048.57%352711000.8523000200
10Justin BaileyInfluenza (Tor)RW80132033-62208976122327210.66%25123615.4513414211000002255.00%601917000.5300000013
11Tim ErixonInfluenza (Tor)D7692332-929513815613750696.57%114204326.89369212670114282000.00%03563000.3100001004
12Tom KuhnhacklInfluenza (Tor)RW80121931-82407172114407710.53%1988011.0010111311231202038.10%422716000.7012000140
13Christian FischerInfluenza (Tor)RW6891726-42801083455152716.36%1497214.302464127000070139.62%531512000.5313000101
14Brett PesceInfluenza (Tor)D8012223-456045806728251.49%67126515.81022712800014200100.00%11142000.3600000000
15Haydn FleuryInfluenza (Tor)D67320232016066965928245.08%87131619.6502231060111198000.00%0645000.3501000100
16Dmitry SinitsynInfluenza (Tor)D7411920-11220611086243401.61%91137918.6503371360110195000.00%01443000.2900000010
17Shane SimsInfluenza (Tor)D3411213-1338060665426171.85%5784925.0012351110002114000.00%02728000.3100000001
18Aleksi SaarelaInfluenza (Tor)C486511-18013841103314.63%43146.55000000001191047.27%11092000.7000000010
19Shane PrinceInfluenza (Tor)C43437-12035223352012.12%53518.1800000000030052.45%143410000.4000000000
20Jeff CorbettInfluenza (Tor)D35156110093019755.26%1543312.4000001000018000.00%038000.2800000000
21Johan LarssonInfluenza (Tor)LW26123-320167209135.00%11345.1900001000000050.00%471000.4500000000
22Dennis GilbertInfluenza (Tor)D90115100360020.00%3495.540000000004000.00%001000.4000000000
23Henri IkonenInfluenza (Tor)LW11000000020000.00%030.290000000002000.00%000000.0000000000
24Mitchell MorozInfluenza (Tor)LW11000000211000.00%060.600000100000000.00%100000.0000000000
25Brycen MartinInfluenza (Tor)D5000100100000.00%1142.840000000000000.00%000000.0000000000
26Jaden LindoInfluenza (Tor)RW120003201011010.00%0877.260000000000000.00%300000.0000000000
Stats d'équipe Total ou en Moyenne1441281476757-36055169116192453833139011.46%8202247715.60397111022224498111962197929949.30%4931491486210.671033001333028
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
1Al MontoyaInfluenza (Tor)45241620.8813.792467201561307656120.78919435111
2Malcolm SubbanInfluenza (Tor)3892010.8664.33181520131981488130.75082852100
3Charlie LindgrenInfluenza (Tor)132600.8215.195550048268121001.0003923000
Stats d'équipe Total ou en Moyenne96354230.8694.1648384033525561265250.800308080211


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
Al MontoyaInfluenza (Tor)G301985-01-01No195 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Aleksi SaarelaInfluenza (Tor)C181997-01-01Yes200 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Bo HorvatInfluenza (Tor)C201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No1,200,000$
Brett PesceInfluenza (Tor)D211994-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No650,000$
Brycen MartinInfluenza (Tor)D191996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$
Charlie LindgrenInfluenza (Tor)G221993-01-01Yes180 Lbs6 ft1NoYesNo2Pro & Farm500,000$0$0$No500,000$
Christian FischerInfluenza (Tor)RW181997-01-01Yes214 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Colton SissonsInfluenza (Tor)C221993-01-01Yes187 Lbs6 ft0NoYesNo3Pro & Farm700,000$0$0$No800,000$900,000$
Conner BleackleyInfluenza (Tor)C191996-01-01Yes195 Lbs5 ft11NoYesNo1Pro & Farm350,000$0$0$No
Dennis GilbertInfluenza (Tor)D191996-01-01Yes216 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dmitry SinitsynInfluenza (Tor)D211994-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm999,999$0$0$No
Haydn FleuryInfluenza (Tor)D191996-01-01Yes208 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Henri IkonenInfluenza (Tor)LW201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
JT CompherInfluenza (Tor)LW201995-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm800,000$0$0$No800,000$
Jaden LindoInfluenza (Tor)RW191996-01-01Yes215 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Jakob Forsbacka-KarlssonInfluenza (Tor)C191996-01-01Yes184 Lbs6 ft1NoYesNo2Pro & Farm600,000$0$0$No600,000$
Jamie PhillipsInfluenza (Tor)G221993-01-01No180 Lbs6 ft0NoYesNo1Pro & Farm500,000$0$0$No
Jeff CorbettInfluenza (Tor)D211994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Johan LarssonInfluenza (Tor)LW231992-01-01Yes206 Lbs5 ft11NoYesNo1Pro & Farm600,000$0$0$No
Justin BaileyInfluenza (Tor)RW201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$
Linden VeyInfluenza (Tor)RW241991-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Lucas LessioInfluenza (Tor)LW221993-01-01Yes213 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No600,000$
Malcolm SubbanInfluenza (Tor)G221993-01-01No195 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No800,000$
Mitchell MorozInfluenza (Tor)LW211994-01-01Yes208 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Neal PionkInfluenza (Tor)D201995-01-01Yes186 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Pavel ZachaInfluenza (Tor)C181997-01-01Yes210 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Radovan BondraInfluenza (Tor)RW181997-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm400,000$0$0$No400,000$
Ryan DzingelInfluenza (Tor)LW231992-01-01Yes190 Lbs6 ft0NoYesNo2Pro & Farm800,000$0$0$No900,000$
Shane PrinceInfluenza (Tor)C231992-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$No
Shane SimsInfluenza (Tor)D271988-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Simon BourqueInfluenza (Tor)D181997-01-01Yes198 Lbs6 ft1NoYesNo2Pro & Farm400,000$0$0$No400,000$
Tim ErixonInfluenza (Tor)D241991-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$0$0$No950,000$
Tim SchallerInfluenza (Tor)LW251990-01-01Yes206 Lbs6 ft2NoNoNo1Pro & Farm995,000$0$0$No
Tom KuhnhacklInfluenza (Tor)RW231992-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Zack MacEwenInfluenza (Tor)C191996-01-01Yes205 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3521.11197 Lbs6 ft11.66605,571$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerBo HorvatLinden Vey40122
2JT CompherPavel ZachaJustin Bailey30122
3Ryan DzingelColton SissonsTom Kuhnhackl20122
4Lucas LessioAleksi SaarelaChristian Fischer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim ErixonHaydn Fleury40122
2Jeff CorbettShane Sims30122
3Brett PesceDmitry Sinitsyn20122
4Tim ErixonShane Sims10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tim SchallerBo HorvatLinden Vey60122
2JT CompherColton SissonsJustin Bailey40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim ErixonHaydn Fleury60122
2Brett PesceShane Sims40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Bo HorvatTim Schaller60122
2Linden VeyJT Compher40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim ErixonShane Sims60122
2Haydn FleuryDmitry Sinitsyn40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Bo Horvat60122Tim ErixonShane Sims60122
2Tim Schaller40122Haydn FleuryDmitry Sinitsyn40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Bo HorvatTim Schaller60122
2Linden VeyJT Compher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim ErixonShane Sims60122
2Haydn FleuryDmitry Sinitsyn40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerBo HorvatLinden VeyTim ErixonHaydn Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tim SchallerBo HorvatLinden VeyTim ErixonHaydn Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Dzingel, Lucas Lessio, Tom KuhnhacklRyan Dzingel, Lucas LessioTom Kuhnhackl
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Pesce, Dmitry Sinitsyn, Haydn FleuryBrett PesceDmitry Sinitsyn, Haydn Fleury
Tirs de Pénalité
Bo Horvat, Tim Schaller, Linden Vey, JT Compher, Ryan Dzingel
Gardien
#1 : Al Montoya, #2 : Malcolm Subban


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
1Admirals312000001115-41010000037-42110000088020.3331118290091105901097916852847391154831591218.33%13561.54%0899184448.75%892179449.72%669132450.53%172594916587581461728
2Barracuda30200001710-32010000168-21010000012-110.16771219009110590101079168528473994288681500.00%4175.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
3Bears624000001824-6321000001311230300000513-840.3331830480091105901018991685284739165545113820315.00%23482.61%0899184448.75%892179449.72%669132450.53%172594916587581461728
4Checkers220000001055110000003211100000073441.000101626009110590106591685284739572310408337.50%50100.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
5Comets2010100078-1100010006511010000013-220.5007101700911059010669168528473958161831700.00%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
6Condors31200000121112020000049-51100000082620.3331219310091105901089916852847391141722661119.09%11281.82%0899184448.75%892179449.72%669132450.53%172594916587581461728
7Crunch32100000101002110000078-11100000032140.66710182800911059010104916852847398431345417317.65%17570.59%0899184448.75%892179449.72%669132450.53%172594916587581461728
8Devils6330000028271312000001314-1321000001513260.500284977109110590102069168528473918663421281317.69%21480.95%2899184448.75%892179449.72%669132450.53%172594916587581461728
9Eagles21100000610-41010000017-61100000053220.500610160091105901064916852847396730184410330.00%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
10Griffins403000101120-920100010710-320200000410-620.250111425009110590101289168528473912232361071516.67%18572.22%1899184448.75%892179449.72%669132450.53%172594916587581461728
11Heat210010001082110000003211000100076141.00010182800911059010719168528473976201847600.00%9366.67%0899184448.75%892179449.72%669132450.53%172594916587581461728
12IceHogs31200000816-821100000710-31010000016-520.33381523009110590109591685284739903831751516.67%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
13Little Stars211000009721010000015-41100000082620.5009142300911059010699168528473972211845700.00%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
14Monsters3110000111110110000006332010000158-330.500111728009110590101079168528473911040208211327.27%10280.00%1899184448.75%892179449.72%669132450.53%172594916587581461728
15Moose31200000111101010000034-12110000087120.3331119301091105901010791685284739803438736233.33%19384.21%0899184448.75%892179449.72%669132450.53%172594916587581461728
16Penguins21100000811-31010000037-41100000054120.50081321009110590106591685284739602928421200.00%14750.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
17Phantoms312000001218-61010000039-62110000099020.33312183000911059010989168528473910436354916425.00%15380.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
18Punishers20200000510-51010000036-31010000024-200.00051015009110590107091685284739541816593133.33%8187.50%0899184448.75%892179449.72%669132450.53%172594916587581461728
19Rampage2020000047-31010000024-21010000023-100.0004610009110590106091685284739672722464125.00%11372.73%1899184448.75%892179449.72%669132450.53%172594916587581461728
20Reign632000102324-1320000101174312000001217-580.6672338611091105901018091685284739197583413430516.67%17570.59%0899184448.75%892179449.72%669132450.53%172594916587581461728
21Rocket422000002123-2211000001112-1211000001011-140.500213859209110590101329168528473914054508116425.00%25676.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
22Senators21000010862110000003211000001054141.00081018009110590106891685284739652514468225.00%7271.43%0899184448.75%892179449.72%669132450.53%172594916587581461728
23Sound Tigers603000211825-730100011910-130200010915-650.417182846009110590101769168528473918670941473538.57%48981.25%2899184448.75%892179449.72%669132450.53%172594916587581461728
24Thunderbirds422000001415-120200000711-42200000074340.500142337009110590101459168528473912442307112216.67%15473.33%0899184448.75%892179449.72%669132450.53%172594916587581461728
25Wolfpack21100000111101010000068-21100000053220.500111930009110590106791685284739742116454125.00%8275.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
Total80284202053293343-5040122201032141181-4040162001021152162-10730.45629348277550911059010262591685284739256187573417773134514.38%3548077.40%7899184448.75%892179449.72%669132450.53%172594916587581461728
_Since Last GM Reset80284202053293343-5040122201032141181-4040162001021152162-10730.45629348277550911059010262591685284739256187573417773134514.38%3548077.40%7899184448.75%892179449.72%669132450.53%172594916587581461728
_Vs Conference47132700043163208-45237110003283100-17246160001180108-28370.39416326642940911059010150591685284739151750945010792022813.86%2124678.30%4899184448.75%892179449.72%669132450.53%172594916587581461728
_Vs Division1859000315973-149420002133285917000102645-19170.47259961551091105901054591685284739548182179419851112.94%881879.55%2899184448.75%892179449.72%669132450.53%172594916587581461728

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8073L229348277526252561875734177750
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8028422053293343
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4012221032141181
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4016201021152162
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3134514.38%3548077.40%7
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
91685284739911059010
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
899184448.75%892179449.72%669132450.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172594916587581461728


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
1 - 2020-10-094Influenza3Sound Tigers5LR1Sommaire du Match
3 - 2020-10-1118Influenza2Devils4LSommaire du Match
5 - 2020-10-1325Sound Tigers3Influenza2LR1Sommaire du Match
7 - 2020-10-1536Influenza6Reign4WSommaire du Match
10 - 2020-10-1852Reign2Influenza3WXXSommaire du Match
13 - 2020-10-2171Devils4Influenza2LSommaire du Match
15 - 2020-10-2380Influenza1Bears3LSommaire du Match
17 - 2020-10-2594Bears3Influenza5WSommaire du Match
20 - 2020-10-28111Reign2Influenza4WSommaire du Match
23 - 2020-10-31124Influenza3Monsters5LSommaire du Match
26 - 2020-11-03141Rocket6Influenza4LR3Sommaire du Match
28 - 2020-11-05152Influenza2Admirals4LSommaire du Match
29 - 2020-11-06161Influenza3Reign8LSommaire du Match
32 - 2020-11-09174Bears6Influenza5LSommaire du Match
34 - 2020-11-11183Influenza4Thunderbirds3WSommaire du Match
36 - 2020-11-13195Influenza2Bears6LSommaire du Match
38 - 2020-11-15204Crunch3Influenza4WR1Sommaire du Match
42 - 2020-11-19224Influenza7Devils4WSommaire du Match
43 - 2020-11-20233Little Stars5Influenza1LSommaire du Match
45 - 2020-11-22248Eagles7Influenza1LR1Sommaire du Match
50 - 2020-11-27268Griffins5Influenza6WXXSommaire du Match
53 - 2020-11-30286Influenza3Griffins5LR2Sommaire du Match
55 - 2020-12-02296Influenza6Admirals4WSommaire du Match
56 - 2020-12-03304Sound Tigers4Influenza3LXXR1Sommaire du Match
60 - 2020-12-07321Phantoms9Influenza3LSommaire du Match
63 - 2020-12-10334Influenza2Rampage3LSommaire du Match
65 - 2020-12-12347Wolfpack8Influenza6LSommaire du Match
69 - 2020-12-16371Reign3Influenza4WSommaire du Match
71 - 2020-12-18379Influenza1Comets3LSommaire du Match
74 - 2020-12-21395Punishers6Influenza3LSommaire du Match
78 - 2020-12-25418Influenza1IceHogs6LSommaire du Match
80 - 2020-12-27422Condors6Influenza3LSommaire du Match
82 - 2020-12-29436Influenza5Sound Tigers4WXXR1Sommaire du Match
84 - 2020-12-31446Admirals7Influenza3LSommaire du Match
88 - 2021-01-04465Influenza2Bears4LSommaire du Match
90 - 2021-01-06476Barracuda4Influenza3LSommaire du Match
92 - 2021-01-08484Influenza7Checkers3WSommaire du Match
94 - 2021-01-10499Condors3Influenza1LSommaire du Match
96 - 2021-01-12510Influenza5Penguins4WR3Sommaire du Match
101 - 2021-01-17527Rampage4Influenza2LSommaire du Match
103 - 2021-01-19538Influenza1Barracuda2LSommaire du Match
106 - 2021-01-22553Penguins7Influenza3LR3Sommaire du Match
109 - 2021-01-25569Influenza8Condors2WSommaire du Match
111 - 2021-01-27580Senators2Influenza3WSommaire du Match
115 - 2021-01-31603Checkers2Influenza3WSommaire du Match
117 - 2021-02-02615Influenza5Eagles3WR1Sommaire du Match
120 - 2021-02-05629Comets5Influenza6WXSommaire du Match
123 - 2021-02-08641Influenza6Phantoms4WR2Sommaire du Match
125 - 2021-02-10655Heat2Influenza3WSommaire du Match
127 - 2021-02-12666Influenza1Griffins5LR2Sommaire du Match
130 - 2021-02-15680Moose4Influenza3LSommaire du Match
132 - 2021-02-17690Influenza7Heat6WXSommaire du Match
135 - 2021-02-20706Influenza6Rocket8LR3Sommaire du Match
136 - 2021-02-21711Barracuda4Influenza3LXXSommaire du Match
139 - 2021-02-24729Influenza3Crunch2WR1Sommaire du Match
141 - 2021-02-26736Sound Tigers3Influenza4WXXSommaire du Match
144 - 2021-03-01752Influenza5Senators4WXXSommaire du Match
146 - 2021-03-03759Influenza4Rocket3WR3Sommaire du Match
147 - 2021-03-04767Rocket6Influenza7WSommaire du Match
150 - 2021-03-07782Influenza2Moose4LR2Sommaire du Match
151 - 2021-03-08787Influenza8Little Stars2WSommaire du Match
154 - 2021-03-11797Monsters3Influenza6WSommaire du Match
157 - 2021-03-14807Influenza1Sound Tigers6LR1Sommaire du Match
159 - 2021-03-16820Thunderbirds7Influenza4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
161 - 2021-03-18833Influenza6Devils5WSommaire du Match
163 - 2021-03-20842Influenza2Punishers4LSommaire du Match
165 - 2021-03-22851Bears2Influenza3WSommaire du Match
167 - 2021-03-24860Influenza3Thunderbirds1WSommaire du Match
168 - 2021-03-25870Influenza3Phantoms5LR2Sommaire du Match
170 - 2021-03-27878Griffins5Influenza1LR2Sommaire du Match
173 - 2021-03-30894Influenza5Wolfpack3WSommaire du Match
176 - 2021-04-02906Crunch5Influenza3LR1Sommaire du Match
177 - 2021-04-03913Influenza6Moose3WSommaire du Match
180 - 2021-04-06927Influenza2Monsters3LXXSommaire du Match
182 - 2021-04-08935IceHogs3Influenza5WSommaire du Match
186 - 2021-04-12951Influenza3Reign5LSommaire du Match
188 - 2021-04-14961IceHogs7Influenza2LSommaire du Match
192 - 2021-04-18986Devils4Influenza7WSommaire du Match
196 - 2021-04-221008Devils6Influenza4LSommaire du Match
202 - 2021-04-281033Thunderbirds4Influenza3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance53,37326,755
Assistance PCT66.72%66.89%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2003 - 66.77% 70,088$2,803,521$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,709,639$ 2,119,500$ 2,089,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
10,339$ 2,091,899$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 12,778$ 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