PV Sharapovas

GP: 75 | W: 59 | L: 15 | OTL: 1 | P: 119
GF: 412 | GA: 112 | PP%: 19.10% | PK%: 83.72%
DG: Justin Guitard | Morale : 99 | Moyenne d'Équipe : 62
Prochain matchs #990 vs MANITOBA Moose
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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 SP
1Scottie Upshall0XX100.007844737171768068306865696880674584710
2Anthony Beauvillier0X100.006835806869829467726569606859538092690
3Tomas Nosek0XXX100.006835746685808165766565726556523796690
4Miikka Salomaki0XX100.007635756473746863586362606356526896650
5Michael Chaput0X100.006435696780626667726563636457525496650
6Phil Varone0X100.005835716669648265726464576454514596640
7Adam Cracknell0X100.006135676985515169506666546658532696630
8Trevor Moore (R)0X100.005435706967586269506967546751504396620
9Ryan MacInnis0X100.005942746079587654675454605450504496600
10Keegan Kolesar0X100.006289526886505068506262506250504496600
11Zach Nastasiuk0X100.005589716281485062505555525550504393570
12Justin Kirkland0XX100.005289606680505066505555505550504496570
13Tony DeAngelo0X100.006650647268837471307562677255578195690
14Yannick Weber0X100.006735746372717563306158686668565196660
15Victor Mete0X100.005835806366789163306253706355516295650
16Alex Lintuniemi0X100.006589686590505065304641505150504389560
17Cale Fleury (R)0X100.005389686578505065305146505650504496550
18Guillaume Brisebois0X100.005135705975515459304945535550506787540
Rayé
1Michael Bournival0XX100.006045676169647960515960606055536220620
2Ryan Gropp0X100.005489696779505067505757505750504478580
3Viktor Loov0X100.006646635082477757304636605350504720550
4Gabriel Carlsson0X100.005835705788465057304641505151507954530
MOYENNE D'ÉQUIPE100.00625270647761666447595758615552528562
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
1Christopher Gibson100.00756881827474757474746951636195660
2Zachary Fucale100.00656171786669666666666350584496590
Rayé
MOYENNE D'ÉQUIPE100.0070657680707271707070665161539663
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Yzerman60606060696964CAN543150,000$


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
1Scottie UpshallPV Sharapovas (DET)LW/RW57475710489320105873699926612.74%13125422.01651129125325141456056.28%36600141.66020001235
2Michael ChaputPV Sharapovas (DET)C754658104100260661093398825213.57%14127517.01549341480004955371.85%124700031.63000001064
3Tomas NosekPV Sharapovas (DET)C/LW/RW73366197891805612435411228610.17%20150720.6449133517104442086068.05%151500031.2902000288
4Adam CracknellPV Sharapovas (DET)RW754541869124062493057321214.75%4113115.09861436146000006366.67%6600031.5200000148
5Trevor MoorePV Sharapovas (DET)LW752751788314028582536519410.67%13104013.880227510000211265.57%6100121.5000000452
6Phil VaronePV Sharapovas (DET)C75245377751004081248742009.68%9102413.660112110004463070.71%93200011.5000000134
7Miikka SalomakiPV Sharapovas (DET)LW/RW752248708624010439252811958.73%11140618.750662217120291641163.28%12800001.0011000134
8Yannick WeberPV Sharapovas (DET)D711851698536014847117379315.38%60162222.86358351450221186530.00%000010.8500000327
9Victor MetePV Sharapovas (DET)D66145367672006142120508911.67%65138721.0241014401500002181100.00%000000.9700000213
10Keegan KolesarPV Sharapovas (DET)RW7525356074440116392045018012.25%498313.12022226000143257.45%4700001.2200000432
11Tony DeAngeloPV Sharapovas (DET)D5613465954751511371112437911.61%60135324.17145451380111153310.00%000000.8700102461
12Anthony BeauvillierPV Sharapovas (DET)LW422132535424041401985112710.61%1278518.703710189900091036063.96%11100021.3501000043
13Dennis CholowskiDETROIT Red WingsD43728356226039258034638.75%28100823.4514512780001113200.00%000000.6900000000
14Ryan MacInnisPV Sharapovas (DET)C75151631462003345137389510.95%87349.79000050001253065.84%68500010.8400000020
15Cale FleuryPV Sharapovas (DET)D706232990395881451112711.76%33118216.89224350101175200.00%000000.4900010100
16Justin KirklandPV Sharapovas (DET)C/LW7510142426175252310129679.90%45216.95000160001222063.04%4600010.9200001101
17Ryan GroppPV Sharapovas (DET)LW538152332240192211334807.08%657810.9100013000010073.33%3000000.8000000001
18Zach NastasiukPV Sharapovas (DET)RW5412102231295372412529759.60%458210.7910121000002055.26%3800000.7600010020
19Guillaume BriseboisPV Sharapovas (DET)D5531821801806384015237.50%2989416.2600008011032000.00%000000.4700000001
20Alex LintuniemiPV Sharapovas (DET)D40281060360799237168.70%1071317.83011265101163000.00%000000.2800000000
21Gabriel CarlssonPV Sharapovas (DET)D211563710027413667.69%1434516.4800001000019000.00%000000.3500000002
Stats d'équipe Total ou en Moyenne13014027231125141156630135096035541026262511.31%4212133316.403868106326160871017541666571567.87%5272002211.0516123465256
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
1Christopher GibsonPV Sharapovas (DET)75591510.9171.47445942410913180200.71477501131
2Zachary FucalePV Sharapovas (DET)20000.9131.9761002230000.0000073000
Stats d'équipe Total ou en Moyenne77591510.9171.47452042411113410200.714775731131


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam CracknellPV Sharapovas (DET)RW341985-07-15No95 Kg191 CMNoNoNo1Sans RestrictionPro & Farm675,000$0$0$NoLien
Alex LintuniemiPV Sharapovas (DET)D231995-09-23No105 Kg191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Anthony BeauvillierPV Sharapovas (DET)LW221997-06-08 15:11:08No83 Kg180 CMNoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Cale FleuryPV Sharapovas (DET)D201998-10-19Yes91 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Christopher GibsonPV Sharapovas (DET)G261992-12-27No94 Kg188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Gabriel CarlssonPV Sharapovas (DET)D221997-01-02No87 Kg196 CMNoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Guillaume BriseboisPV Sharapovas (DET)D221997-07-21No80 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Justin KirklandPV Sharapovas (DET)C/LW231996-08-02No83 Kg191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Keegan KolesarPV Sharapovas (DET)RW221997-04-08No103 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Michael BournivalPV Sharapovas (DET)C/LW271992-05-31No90 Kg180 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Michael ChaputPV Sharapovas (DET)C271992-04-09No90 Kg188 CMNoNoNo6Avec RestrictionPro & Farm800,000$0$0$NoLien
Miikka SalomakiPV Sharapovas (DET)LW/RW261993-03-09No92 Kg180 CMNoNoNo5Avec RestrictionPro & Farm950,000$0$0$NoLien
Phil VaronePV Sharapovas (DET)C281990-12-04No88 Kg178 CMNoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien
Ryan GroppPV Sharapovas (DET)LW221996-09-16No89 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Ryan MacInnisPV Sharapovas (DET)C231996-02-14No90 Kg193 CMNoNoNo6Avec RestrictionPro & Farm850,000$0$0$NoLien
Scottie UpshallPV Sharapovas (DET)LW/RW351983-10-07No91 Kg183 CMNoNoNo1Sans RestrictionPro & Farm900,000$0$0$NoLien
Tomas NosekPV Sharapovas (DET)C/LW/RW261992-09-01No95 Kg191 CMNoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Tony DeAngeloPV Sharapovas (DET)D231995-10-24No82 Kg180 CMNoNoNo6Avec RestrictionPro & Farm1,800,000$0$0$NoLien
Trevor MoorePV Sharapovas (DET)LW241995-03-21Yes83 Kg178 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Victor MetePV Sharapovas (DET)D211998-06-07No83 Kg175 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Viktor LoovPV Sharapovas (DET)D261992-11-16No96 Kg185 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Yannick WeberPV Sharapovas (DET)D301988-09-23No91 Kg180 CMNoNoNo6Sans RestrictionPro & Farm750,000$0$0$NoLien
Zach NastasiukPV Sharapovas (DET)RW241995-03-30No92 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Zachary FucalePV Sharapovas (DET)G241995-05-28No85 Kg188 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2425.0090 Kg185 CM2.71776,042$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scottie UpshallTomas NosekMiikka Salomaki31104
2Anthony BeauvillierMichael ChaputAdam Cracknell26104
3Trevor MoorePhil VaroneKeegan Kolesar23122
4Justin KirklandRyan MacInnisZach Nastasiuk20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tony DeAngeloYannick Weber31122
2Victor MeteAlex Lintuniemi26122
3Cale FleuryGuillaume Brisebois23122
4Tony DeAngeloYannick Weber20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scottie UpshallTomas NosekMiikka Salomaki55005
2Anthony BeauvillierMichael ChaputAdam Cracknell45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tony DeAngeloYannick Weber55122
2Victor MeteAlex Lintuniemi45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Scottie UpshallAnthony Beauvillier55140
2Tomas NosekMiikka Salomaki45140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tony DeAngeloYannick Weber55140
2Victor MeteAlex Lintuniemi45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Scottie Upshall55140Tony DeAngeloYannick Weber55140
2Anthony Beauvillier45140Victor MeteAlex Lintuniemi45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scottie UpshallAnthony Beauvillier55122
2Tomas NosekMiikka Salomaki45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tony DeAngeloYannick Weber55122
2Victor MeteAlex Lintuniemi45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scottie UpshallTomas NosekMiikka SalomakiTony DeAngeloYannick Weber
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scottie UpshallTomas NosekMiikka SalomakiTony DeAngeloYannick Weber
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Phil Varone, Trevor Moore, Ryan MacInnisPhil Varone, Trevor MooreRyan MacInnis
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cale Fleury, Guillaume Brisebois, Victor MeteCale FleuryGuillaume Brisebois, Victor Mete
Tirs de Pénalité
Scottie Upshall, Anthony Beauvillier, Tomas Nosek, Miikka Salomaki, Michael Chaput
Gardien
#1 : Christopher Gibson, #2 : Zachary Fucale
Lignes d'Attaque Perso. en Prol.
Scottie Upshall, Anthony Beauvillier, Tomas Nosek, Miikka Salomaki, Michael Chaput, Phil Varone, Phil Varone, Adam Cracknell, Trevor Moore, Ryan MacInnis, Keegan Kolesar
Lignes de Défense Perso. en Prol.
Tony DeAngelo, Yannick Weber, Victor Mete, Alex Lintuniemi, Cale Fleury


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
1BELLEVILLE Senators440000002552022000000936220000001621481.0002545700121011777825711451192125833652224854125.00%11372.73%01736244471.03%1007166160.63%856121470.51%250919891190399824474
2BRIDGEPORT Sound Tigers21100000330110000002111010000012-120.500358002101177783411451192125833772034415120.00%16193.75%01736244471.03%1007166160.63%856121470.51%250919891190399824474
3BROOKLYN Wolfpack33000000350352200000024024110000001101161.00035649903210117778253114511921258331251857000.00%80100.00%41736244471.03%1007166160.63%856121470.51%250919891190399824474
4CHICAGO Wolves32100000155101010000023-1220000001321140.667152944012101177781361145119212583342101252300.00%6183.33%01736244471.03%1007166160.63%856121470.51%250919891190399824474
5CLEVELAND Monsters110000001101111000000110110000000000021.000112132012101177787111451192125833926152150.00%30100.00%11736244471.03%1007166160.63%856121470.51%250919891190399824474
6COLORADO Eagles211000007611010000023-11100000053220.50071421002101177786011451192125833348102711218.18%4250.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
7CORNWALL Aces44000000482462200000024222220000002402481.0004888136022101177783571145119212583335631759222.22%11190.91%01736244471.03%1007166160.63%856121470.51%250919891190399824474
8HERSEY Bears21100000413110000004041010000001-120.5004812012101177783611451192125833491720376350.00%10190.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
9HOLLYWOOD Oscar44000000381372200000021120220000001701781.000387010803210117778337114511921258331481069000.00%40100.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
10IOWA Wild440000003262622000000232212200000094581.00032639502210117778209114511921258337629599016531.25%21290.48%01736244471.03%1007166160.63%856121470.51%250919891190399824474
11LAVAL Rockets1010000026-41010000026-40000000000000.00023500210117778151145119212583326910203133.33%5340.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
12LEHIGH VALLEY Phantoms42101000862211000004402100100042260.75081523012101177781071145119212583310635448221314.29%21290.48%01736244471.03%1007166160.63%856121470.51%250919891190399824474
13MANITOBA Moose311010001156100010004312110000072540.6671117280121011777810711451192125833671630481317.69%15380.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
14MILWAUKEE Admirals2110000023-11010000002-21100000021120.500235002101177785711451192125833531914379222.22%60100.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
15MONT-LAURIER Sommet421010001055210010006242110000043160.75010182801210117778130114511921258337133407810110.00%190100.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
16PROVIDENCE Bruins422000001112-12110000067-12110000055040.50011203100210117778122114511921258339126289117211.76%12558.33%11736244471.03%1007166160.63%856121470.51%250919891190399824474
17ROCKFORD IceHogs21001000422100010002111100000021141.000481200210117778551145119212583349172134400.00%8275.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
18SAN DIEGO Gulls22000000817110000004041100000041341.00081624012101177781401145119212583391433000.00%20100.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
19STOCKTON Flames42100010329232110000017413210000101551060.7503257890121011777823211451192125833702938956116.67%19668.42%11736244471.03%1007166160.63%856121470.51%250919891190399824474
20SYRACUSE Crunch431000002181322000000743211000001441060.75021385901210117778188114511921258337928286212325.00%13192.31%01736244471.03%1007166160.63%856121470.51%250919891190399824474
21TORONTO Marlies440000001697220000007342200000096381.00016284400210117778151114511921258338534336011327.27%13561.54%01736244471.03%1007166160.63%856121470.51%250919891190399824474
22TUSCON Roadrunners21001000523110000002021000100032141.00058130121011777848114511921258334212173514214.29%6183.33%01736244471.03%1007166160.63%856121470.51%250919891190399824474
Total755115070114121123003826704001219591603725803010193531401190.7934127531165024210117778362211451192125833134142658113961993819.10%2584283.72%71736244471.03%1007166160.63%856121470.51%250919891190399824474
24UTICA Comets21001000532110000002111000100032141.000510150021011777856114511921258335612203610220.00%10190.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
25VICTORIAVILLE Tigres40201001811-3200010017702020000014-330.3758142200210117778831145119212583395212473900.00%12283.33%01736244471.03%1007166160.63%856121470.51%250919891190399824474
26WILKIES-BARRIE Penguins44000000511502200000027027220000002412381.000519114203210117778381114511921258332976644250.00%30100.00%01736244471.03%1007166160.63%856121470.51%250919891190399824474
_Since Last GM Reset755115070114121123003826704001219591603725803010193531401190.7934127531165024210117778362211451192125833134142658113961993819.10%2584283.72%71736244471.03%1007166160.63%856121470.51%250919891190399824474
_Vs Conference473470401130068232231720300115635121241750101014433111790.8403005448440162101177782539114511921258337922683678811152219.13%1622584.57%11736244471.03%1007166160.63%856121470.51%250919891190399824474
_Vs Division161910000011211101910000000725677910000040634381.188112204316092101177788821145119212583328286128296381026.32%61493.44%51736244471.03%1007166160.63%856121470.51%250919891190399824474

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
75119W54127531165362213414265811396024
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7551157011412112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
38267400121959
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
37258301019353
Derniers 10 Matchs
WLOTWOTL SOWSOL
910000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1993819.10%2584283.72%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
11451192125833210117778
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
1736244471.03%1007166160.63%856121470.51%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
250919891190399824474


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 - 2019-07-307PV Sharapovas6BELLEVILLE Senators1WSommaire du Match
2 - 2019-07-3114VICTORIAVILLE Tigres3PV Sharapovas4WXSommaire du Match
3 - 2019-08-0135STOCKTON Flames0PV Sharapovas15WSommaire du Match
4 - 2019-08-0251PV Sharapovas11STOCKTON Flames2WSommaire du Match
6 - 2019-08-0464WILKIES-BARRIE Penguins0PV Sharapovas12WSommaire du Match
8 - 2019-08-0676PV Sharapovas14CORNWALL Aces0WSommaire du Match
9 - 2019-08-0781BROOKLYN Wolfpack0PV Sharapovas11WSommaire du Match
10 - 2019-08-08101PV Sharapovas3CHICAGO Wolves2WSommaire du Match
11 - 2019-08-09106PV Sharapovas13SYRACUSE Crunch0WSommaire du Match
12 - 2019-08-10127HOLLYWOOD Oscar0PV Sharapovas9WSommaire du Match
14 - 2019-08-12139MONT-LAURIER Sommet0PV Sharapovas3WSommaire du Match
15 - 2019-08-13148PV Sharapovas3MONT-LAURIER Sommet1WSommaire du Match
16 - 2019-08-14158PV Sharapovas6HOLLYWOOD Oscar0WSommaire du Match
18 - 2019-08-16177IOWA Wild0PV Sharapovas12WSommaire du Match
20 - 2019-08-18188BELLEVILLE Senators3PV Sharapovas4WSommaire du Match
22 - 2019-08-20207PV Sharapovas10BELLEVILLE Senators1WSommaire du Match
23 - 2019-08-21221VICTORIAVILLE Tigres4PV Sharapovas3LXXSommaire du Match
24 - 2019-08-22234PV Sharapovas1VICTORIAVILLE Tigres3LSommaire du Match
25 - 2019-08-23247PV Sharapovas4SAN DIEGO Gulls1WSommaire du Match
26 - 2019-08-24255CLEVELAND Monsters0PV Sharapovas11WSommaire du Match
28 - 2019-08-26272SYRACUSE Crunch2PV Sharapovas4WSommaire du Match
29 - 2019-08-27286PV Sharapovas3PROVIDENCE Bruins1WSommaire du Match
30 - 2019-08-28297PV Sharapovas10CHICAGO Wolves0WSommaire du Match
31 - 2019-08-29310SYRACUSE Crunch2PV Sharapovas3WSommaire du Match
32 - 2019-08-30325IOWA Wild2PV Sharapovas11WSommaire du Match
33 - 2019-08-31340COLORADO Eagles3PV Sharapovas2LSommaire du Match
34 - 2019-09-01351PV Sharapovas0VICTORIAVILLE Tigres1LSommaire du Match
35 - 2019-09-02362PV Sharapovas2ROCKFORD IceHogs1WSommaire du Match
37 - 2019-09-04375PV Sharapovas3TORONTO Marlies2WSommaire du Match
38 - 2019-09-05386WILKIES-BARRIE Penguins0PV Sharapovas15WSommaire du Match
39 - 2019-09-06401SAN DIEGO Gulls0PV Sharapovas4WSommaire du Match
41 - 2019-09-08417PV Sharapovas6TORONTO Marlies4WSommaire du Match
42 - 2019-09-09426PV Sharapovas10CORNWALL Aces0WSommaire du Match
43 - 2019-09-10439PROVIDENCE Bruins6PV Sharapovas4LSommaire du Match
45 - 2019-09-12454CHICAGO Wolves3PV Sharapovas2LSommaire du Match
47 - 2019-09-14469PV Sharapovas1MANITOBA Moose2LSommaire du Match
48 - 2019-09-15480PV Sharapovas1SYRACUSE Crunch4LSommaire du Match
49 - 2019-09-16493TORONTO Marlies2PV Sharapovas4WSommaire du Match
50 - 2019-09-17508UTICA Comets1PV Sharapovas2WSommaire du Match
51 - 2019-09-18519PV Sharapovas2MILWAUKEE Admirals1WSommaire du Match
52 - 2019-09-19533TORONTO Marlies1PV Sharapovas3WSommaire du Match
54 - 2019-09-21547PV Sharapovas12WILKIES-BARRIE Penguins1WSommaire du Match
55 - 2019-09-22559ROCKFORD IceHogs1PV Sharapovas2WXSommaire du Match
57 - 2019-09-24574MILWAUKEE Admirals2PV Sharapovas0LSommaire du Match
59 - 2019-09-26587PV Sharapovas6IOWA Wild4WSommaire du Match
60 - 2019-09-27600BELLEVILLE Senators0PV Sharapovas5WSommaire du Match
62 - 2019-09-29611PV Sharapovas12WILKIES-BARRIE Penguins0WSommaire du Match
64 - 2019-10-01625LAVAL Rockets6PV Sharapovas2LSommaire du Match
65 - 2019-10-02638PV Sharapovas3TUSCON Roadrunners2WXSommaire du Match
67 - 2019-10-04651HOLLYWOOD Oscar1PV Sharapovas12WSommaire du Match
68 - 2019-10-05664PV Sharapovas2PROVIDENCE Bruins4LSommaire du Match
69 - 2019-10-06674PV Sharapovas11BROOKLYN Wolfpack0WSommaire du Match
71 - 2019-10-08684PV Sharapovas1MONT-LAURIER Sommet2LSommaire du Match
72 - 2019-10-09695HERSEY Bears0PV Sharapovas4WSommaire du Match
74 - 2019-10-11710BRIDGEPORT Sound Tigers1PV Sharapovas2WSommaire du Match
75 - 2019-10-12721PV Sharapovas1BRIDGEPORT Sound Tigers2LSommaire du Match
76 - 2019-10-13733PV Sharapovas0HERSEY Bears1LSommaire du Match
77 - 2019-10-14745PV Sharapovas6MANITOBA Moose0WSommaire du Match
78 - 2019-10-15755MANITOBA Moose3PV Sharapovas4WXSommaire du Match
79 - 2019-10-16771MONT-LAURIER Sommet2PV Sharapovas3WXSommaire du Match
81 - 2019-10-18787BROOKLYN Wolfpack0PV Sharapovas13WSommaire du Match
83 - 2019-10-20810STOCKTON Flames4PV Sharapovas2LSommaire du Match
84 - 2019-10-21815PV Sharapovas11HOLLYWOOD Oscar0WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22835CORNWALL Aces1PV Sharapovas12WSommaire du Match
86 - 2019-10-23843PV Sharapovas2LEHIGH VALLEY Phantoms1WXSommaire du Match
87 - 2019-10-24853PV Sharapovas5COLORADO Eagles3WSommaire du Match
89 - 2019-10-26865PV Sharapovas3IOWA Wild0WSommaire du Match
90 - 2019-10-27877CORNWALL Aces1PV Sharapovas12WSommaire du Match
91 - 2019-10-28892PV Sharapovas2LEHIGH VALLEY Phantoms1WSommaire du Match
92 - 2019-10-29901LEHIGH VALLEY Phantoms4PV Sharapovas1LSommaire du Match
94 - 2019-10-31920TUSCON Roadrunners0PV Sharapovas2WSommaire du Match
95 - 2019-11-01924PV Sharapovas3UTICA Comets2WXSommaire du Match
98 - 2019-11-04944PROVIDENCE Bruins1PV Sharapovas2WSommaire du Match
100 - 2019-11-06961PV Sharapovas4STOCKTON Flames3WXXSommaire du Match
101 - 2019-11-07973LEHIGH VALLEY Phantoms0PV Sharapovas3WSommaire du Match
103 - 2019-11-09990MANITOBA Moose-PV Sharapovas-
104 - 2019-11-10993PV Sharapovas-CLEVELAND Monsters-
105 - 2019-11-111005PV Sharapovas-LAVAL Rockets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,865,766$ 1,862,500$ 1,862,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,724,186$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 6 18,808$ 112,848$




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
32755115070114121123003826704001219591603725803010193531401194127531165024210117778362211451192125833134142658113961993819.10%2584283.72%71736244471.03%1007166160.63%856121470.51%250919891190399824474
Total Saison Régulière755115070114121123003826704001219591603725803010193531401194127531165024210117778362211451192125833134142658113961993819.10%2584283.72%71736244471.03%1007166160.63%856121470.51%250919891190399824474