LAVAL Rockets

GP: 28 | W: 19 | L: 8 | OTL: 1 | P: 39
GF: 173 | GA: 49 | PP%: 22.06% | PK%: 86.09%
DG: Vince Slavinski | Morale : 98 | Moyenne d'Équipe : 62
Prochain matchs #372 vs HOLLYWOOD Oscar
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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
1Zach Aston-Reese0X100.008547716975656768676867716852514289680
2Adam Gaudette (R)0X100.006235736771718366736463586552515491650
3Matthew Peca (A)0X100.006535766666766965726763686452514790650
4Max Jones (R)0X100.006535666887626567546463586451508191640
5Rudolfs Balcers0X100.005535736967636869506766566751505690630
6A.J. Greer0X100.006035626985545769536464546551507590620
7Alexander True (R)0X100.006089637089505070706565566550504490620
8Dillon Dube (R)0XX100.005435716870606268686564576551507090620
9Curtis Lazar0XX100.005335637075505070706565506560538190610
10Nicolas Roy0X100.006035666787515367706262556250506390610
11Timothy Gettinger (R)0X100.006935686696515266506060506050505690610
12Hudson Fasching0X100.005889696984505069506262516251505890600
13Jake McCabe0X100.007641756679837265306362796961537086690
14Paul LaDue0X100.007335756480736663306061666753514290650
15Gavin Bayreuther (R)0X100.005335726776595967305250566151504290590
16Kyle Wood0X100.007089636999505069304944555450504479590
17Trevor Carrick0X100.005489537080505070305045525550505790560
18Roland McKeown0X100.005289606576505065304742595250507191550
Rayé
1Jake Evans (R)0X100.005089677072505070705858505850504483580
2Jeremy Roy0X100.005089696573505065304944515450504471540
MOYENNE D'ÉQUIPE100.00615568687958596751605958625251578861
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
1Eric Comrie100.00777094727675777675767150646790670
2Alex Lyon100.00766897787574767574757051643790660
3Kasimir Kaskisuo (R)100.00756481837474757474746950634290650
Rayé
MOYENNE D'ÉQUIPE100.0076679178757476757475705064499066
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Travis Green71717172727274CAN494750,000$


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
1Jake McCabeLAVAL Rockets (MTL)D27123446487210653379214215.19%3761322.731561747055270200.00%000001.5000002511
2Zach Aston-ReeseLAVAL Rockets (MTL)RW271728454128075291365111612.50%451619.1113413530006763151.61%3100021.7400000521
3Adam GaudetteLAVAL Rockets (MTL)C2815294449201038111326913.51%053118.9921385322412733165.41%55500001.6512000043
4Curtis LazarLAVAL Rockets (MTL)C/RW281232443580211488295413.64%345216.172356500006501066.67%3600001.9401000122
5Matthew PecaLAVAL Rockets (MTL)C2821194038804463121368917.36%1152718.85325165611231033166.36%66000011.5202000132
6Max JonesLAVAL Rockets (MTL)LW2817223945120341898308717.35%348317.251346522026334048.00%2500001.6100000233
7Rudolfs BalcersLAVAL Rockets (MTL)LW281420343420151097377314.43%540914.632571251000000057.69%2600011.6601000101
8Paul LaDueLAVAL Rockets (MTL)D287253239240551241193617.07%2460221.500441057000187000.00%000001.0600000102
9A.J. GreerLAVAL Rockets (MTL)LW289152423100272081275911.11%334912.4700000000051065.00%2000001.3700000010
10Nicolas RoyLAVAL Rockets (MTL)C28614202340241558175110.34%234012.1600000000040063.30%29700001.1700000110
11Dillon DubeLAVAL Rockets (MTL)C/LW28127192560132284266714.29%136913.1900009101151080.00%3000001.0300000010
12Timothy GettingerLAVAL Rockets (MTL)LW2897161920038146593613.85%130010.73000100220270057.14%2100001.0600000001
13Roland McKeownLAVAL Rockets (MTL)D272111329160276211599.52%1544816.61101223011030000.00%000000.5800000000
14Trevor CarrickLAVAL Rockets (MTL)D271121328220429164186.25%743916.2700006000034000.00%000000.5900000000
15Hudson FaschingLAVAL Rockets (MTL)RW25391212551097715483.90%02439.7300001000000063.64%1100000.9900001001
16Gavin BayreutherLAVAL Rockets (MTL)D2837104019517102581812.00%2255519.84101647000078000.00%000000.3600001000
17Alexander TrueLAVAL Rockets (MTL)C11167740716255164.00%11039.3800024000000058.59%9900001.3600000000
18Kyle WoodLAVAL Rockets (MTL)D40220120813020.00%15413.550111100001000.00%000000.7400000000
Stats d'équipe Total ou en Moyenne45616129946053527420532339122638189013.13%140734016.10142741100517611173768318364.61%181100041.2516004171817
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
1Alex LyonLAVAL Rockets (MTL)1510410.9131.6590925252870000.8577159110
2Eric ComrieLAVAL Rockets (MTL)139400.9101.7777802232550200.00001310000
Stats d'équipe Total ou en Moyenne2819810.9111.71168727485420200.85772819110


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
A.J. GreerLAVAL Rockets (MTL)LW221996-12-14 12:32:25No95 Kg191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Adam GaudetteLAVAL Rockets (MTL)C221996-10-03Yes77 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Alex LyonLAVAL Rockets (MTL)G261992-12-09No91 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Alexander TrueLAVAL Rockets (MTL)C221997-07-17Yes91 Kg196 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Curtis LazarLAVAL Rockets (MTL)C/RW241995-02-02No93 Kg183 CMNoNoNo5Avec RestrictionPro & Farm950,000$0$0$NoLien
Dillon DubeLAVAL Rockets (MTL)C/LW211998-07-20Yes85 Kg180 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Eric ComrieLAVAL Rockets (MTL)G241995-07-06No80 Kg185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Gavin BayreutherLAVAL Rockets (MTL)D251994-05-12Yes89 Kg185 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Hudson FaschingLAVAL Rockets (MTL)RW241995-07-28No93 Kg191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Jake EvansLAVAL Rockets (MTL)C231996-06-02Yes85 Kg183 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Jake McCabeLAVAL Rockets (MTL)D251993-10-12No94 Kg185 CMNoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$NoLien
Jeremy RoyLAVAL Rockets (MTL)D221997-05-14No89 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Kasimir KaskisuoLAVAL Rockets (MTL)G251993-10-02Yes89 Kg191 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Kyle WoodLAVAL Rockets (MTL)D231996-05-04No107 Kg201 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Matthew PecaLAVAL Rockets (MTL)C261993-04-27No83 Kg175 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Max JonesLAVAL Rockets (MTL)LW211998-02-17Yes100 Kg191 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Nicolas RoyLAVAL Rockets (MTL)C221997-02-05No93 Kg193 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Paul LaDueLAVAL Rockets (MTL)D261992-09-06No91 Kg188 CMNoNoNo1Avec RestrictionPro & Farm790,000$0$0$NoLien
Roland McKeownLAVAL Rockets (MTL)D231996-01-20No89 Kg185 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Rudolfs BalcersLAVAL Rockets (MTL)LW221997-04-08No80 Kg180 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Timothy GettingerLAVAL Rockets (MTL)LW211998-04-14Yes100 Kg198 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Trevor CarrickLAVAL Rockets (MTL)D251994-07-04No89 Kg188 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Zach Aston-ReeseLAVAL Rockets (MTL)RW251994-08-10No93 Kg183 CMNoNoNo4Avec RestrictionPro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.4390 Kg188 CM2.70797,391$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max JonesAdam GaudetteZach Aston-Reese30023
2Rudolfs BalcersMatthew PecaCurtis Lazar28023
3A.J. GreerNicolas RoyDillon Dube24023
4Timothy GettingerAlexander TrueHudson Fasching18122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabeGavin Bayreuther36122
2Paul LaDueRoland McKeown32122
3Trevor CarrickKyle Wood22023
4Jake McCabePaul LaDue10023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Max JonesAdam GaudetteZach Aston-Reese52023
2Rudolfs BalcersMatthew PecaCurtis Lazar48023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabeGavin Bayreuther55023
2Paul LaDueRoland McKeown45023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matthew PecaCurtis Lazar55032
2Adam GaudetteZach Aston-Reese45032
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabeGavin Bayreuther50131
2Paul LaDueRoland McKeown50131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nicolas Roy55041Jake McCabePaul LaDue60131
2Alexander True45032Roland McKeownGavin Bayreuther40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matthew PecaMax Jones50023
2Adam GaudetteZach Aston-Reese50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul LaDueRoland McKeown55023
2Jake McCabeGavin Bayreuther45023
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Max JonesAdam GaudetteZach Aston-ReeseJake McCabePaul LaDue
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dillon DubeAdam GaudetteZach Aston-ReeseJake McCabePaul LaDue
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dillon Dube, A.J. Greer, Nicolas RoyAlexander True, Dillon DubeTimothy Gettinger
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor Carrick, Roland McKeown, Jake McCabeRoland McKeownTrevor Carrick, Roland McKeown
Tirs de Pénalité
Adam Gaudette, Matthew Peca, Curtis Lazar, Zach Aston-Reese, Alexander True
Gardien
#1 : Eric Comrie, #2 : Kasimir Kaskisuo, #3 : Alex Lyon
Lignes d'Attaque Perso. en Prol.
Adam Gaudette, Hudson Fasching, Matthew Peca, Max Jones, Rudolfs Balcers, Curtis Lazar, Curtis Lazar, Dillon Dube, Alexander True, A.J. Greer, Timothy Gettinger
Lignes de Défense Perso. en Prol.
Jake McCabe, Paul LaDue, Gavin Bayreuther, Roland McKeown, Trevor Carrick


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
1BRIDGEPORT Sound Tigers211000005411010000001-11100000053220.500591400944236146463421443949121640800.00%7185.71%053979967.46%40468059.41%32747369.13%896703481152311176
2BROOKLYN Wolfpack33000000370371100000011011220000002602661.000376810503944236131946342144391731053000.00%50100.00%053979967.46%40468059.41%32747369.13%896703481152311176
3CHICAGO Wolves11000000321110000003210000000000021.000358009442361314634214439239415200.00%10100.00%053979967.46%40468059.41%32747369.13%896703481152311176
4CLEVELAND Monsters330000002712600000000000330000002712661.000275380029442361213463421443926620526233.33%80100.00%253979967.46%40468059.41%32747369.13%896703481152311176
5COLORADO Eagles30300000611-51010000034-12020000037-400.00061016009442361724634214439903249749111.11%15566.67%053979967.46%40468059.41%32747369.13%896703481152311176
6CORNWALL Aces110000001101111000000110110000000000021.0001122330194423617246342144392081111100.00%40100.00%153979967.46%40468059.41%32747369.13%896703481152311176
7HERSEY Bears21100000761110000004221010000034-120.5007111800944236144463421443967243256000.00%15566.67%053979967.46%40468059.41%32747369.13%896703481152311176
8IOWA Wild110000001221000000000000110000001221021.0001223350094423617746342144391638282150.00%40100.00%153979967.46%40468059.41%32747369.13%896703481152311176
9LEHIGH VALLEY Phantoms21100000835211000008350000000000020.50081523009442361604634214439351214478450.00%7185.71%153979967.46%40468059.41%32747369.13%896703481152311176
10MILWAUKEE Admirals21000010642210000106420000000000041.000681400944236157463421443937131849500.00%9188.89%153979967.46%40468059.41%32747369.13%896703481152311176
11PROVIDENCE Bruins22000000221211100000011110110000001101141.00022426401944236114346342144392151025000.00%40100.00%053979967.46%40468059.41%32747369.13%896703481152311176
12STOCKTON Flames11000000422110000004220000000000021.000481200944236140463421443928910226233.33%5180.00%053979967.46%40468059.41%32747369.13%896703481152311176
13SYRACUSE Crunch1010000023-1000000000001010000023-100.00024600944236122463421443922712185120.00%6183.33%053979967.46%40468059.41%32747369.13%896703481152311176
14TUSCON Roadrunners110000001411300000000000110000001411321.000142640009442361624634214439184625000.00%30100.00%053979967.46%40468059.41%32747369.13%896703481152311176
Total28188000111734912414840001164263814104000001092386390.69617331949207944236113304634214439542160294588681522.06%1151686.09%653979967.46%40468059.41%32747369.13%896703481152311176
16UTICA Comets1000000123-11000000123-10000000000010.5002460094423612446342144393891016400.00%5180.00%053979967.46%40468059.41%32747369.13%896703481152311176
17VICTORIAVILLE Tigres211000007611010000014-31100000062420.500711180094423614846342144395312675712325.00%170100.00%053979967.46%40468059.41%32747369.13%896703481152311176
_Since Last GM Reset28188000111734912414840001164263814104000001092386390.69617331949207944236113304634214439542160294588681522.06%1151686.09%653979967.46%40468059.41%32747369.13%896703481152311176
_Vs Conference2013500011129339695200011401723118300000891673290.725129236365069442361101146342144393861171754053438.82%721381.94%353979967.46%40468059.41%32747369.13%896703481152311176
_Vs Division9340001034259522000101314-14120000021111080.44434579100944236128546342144392196914622330516.67%46686.96%253979967.46%40468059.41%32747369.13%896703481152311176

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2839L1173319492133054216029458807
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
28188001117349
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
148400116426
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
14104000010923
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
681522.06%1151686.09%6
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
46342144399442361
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
53979967.46%40468059.41%32747369.13%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
896703481152311176


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 - 2019-07-3011HERSEY Bears2LAVAL Rockets4WSommaire du Match
2 - 2019-07-3120LAVAL Rockets11CLEVELAND Monsters0WSommaire du Match
3 - 2019-08-0137LAVAL Rockets3COLORADO Eagles4LSommaire du Match
4 - 2019-08-0242CHICAGO Wolves2LAVAL Rockets3WSommaire du Match
6 - 2019-08-0463LEHIGH VALLEY Phantoms2LAVAL Rockets1LSommaire du Match
7 - 2019-08-0574LAVAL Rockets12BROOKLYN Wolfpack0WSommaire du Match
9 - 2019-08-0782MILWAUKEE Admirals3LAVAL Rockets4WXXSommaire du Match
10 - 2019-08-0899LAVAL Rockets11PROVIDENCE Bruins0WSommaire du Match
11 - 2019-08-09112UTICA Comets3LAVAL Rockets2LXXSommaire du Match
13 - 2019-08-11131PROVIDENCE Bruins1LAVAL Rockets11WSommaire du Match
14 - 2019-08-12136LAVAL Rockets10CLEVELAND Monsters0WSommaire du Match
16 - 2019-08-14157LAVAL Rockets14TUSCON Roadrunners1WSommaire du Match
17 - 2019-08-15163LAVAL Rockets3HERSEY Bears4LSommaire du Match
19 - 2019-08-17179BRIDGEPORT Sound Tigers1LAVAL Rockets0LSommaire du Match
20 - 2019-08-18187BROOKLYN Wolfpack0LAVAL Rockets11WSommaire du Match
21 - 2019-08-19203LAVAL Rockets6CLEVELAND Monsters1WSommaire du Match
23 - 2019-08-21217LAVAL Rockets14BROOKLYN Wolfpack0WSommaire du Match
24 - 2019-08-22225MILWAUKEE Admirals1LAVAL Rockets2WSommaire du Match
25 - 2019-08-23245VICTORIAVILLE Tigres4LAVAL Rockets1LR3Sommaire du Match
26 - 2019-08-24253LAVAL Rockets12IOWA Wild2WSommaire du Match
27 - 2019-08-25264LAVAL Rockets0COLORADO Eagles3LSommaire du Match
28 - 2019-08-26281CORNWALL Aces0LAVAL Rockets11WSommaire du Match
29 - 2019-08-27290LAVAL Rockets5BRIDGEPORT Sound Tigers3WSommaire du Match
30 - 2019-08-28305COLORADO Eagles4LAVAL Rockets3LSommaire du Match
32 - 2019-08-30322LEHIGH VALLEY Phantoms1LAVAL Rockets7WSommaire du Match
33 - 2019-08-31335LAVAL Rockets6VICTORIAVILLE Tigres2WR3Sommaire du Match
34 - 2019-09-01341STOCKTON Flames2LAVAL Rockets4WSommaire du Match
35 - 2019-09-02361LAVAL Rockets2SYRACUSE Crunch3LSommaire du Match
36 - 2019-09-03372LAVAL Rockets-HOLLYWOOD Oscar-
37 - 2019-09-04383TUSCON Roadrunners-LAVAL Rockets-
38 - 2019-09-05391LAVAL Rockets-CHICAGO Wolves-
40 - 2019-09-07407TUSCON Roadrunners-LAVAL Rockets-
42 - 2019-09-09423HOLLYWOOD Oscar-LAVAL Rockets-
43 - 2019-09-10438LAVAL Rockets-CHICAGO Wolves-
45 - 2019-09-12451LAVAL Rockets-TUSCON Roadrunners-
46 - 2019-09-13459MONT-LAURIER Sommet-LAVAL Rockets-
47 - 2019-09-14474HERSEY Bears-LAVAL Rockets-
48 - 2019-09-15489LAVAL Rockets-STOCKTON Flames-
49 - 2019-09-16500UTICA Comets-LAVAL Rockets-
50 - 2019-09-17517CLEVELAND Monsters-LAVAL Rockets-
52 - 2019-09-19529LAVAL Rockets-PROVIDENCE Bruins-
53 - 2019-09-20544LAVAL Rockets-LEHIGH VALLEY Phantoms-
54 - 2019-09-21552LAVAL Rockets-HERSEY Bears-
55 - 2019-09-22563MANITOBA Moose-LAVAL Rockets-
57 - 2019-09-24573LAVAL Rockets-TORONTO Marlies-
59 - 2019-09-26589LAVAL Rockets-BELLEVILLE Senators-
60 - 2019-09-27598BRIDGEPORT Sound Tigers-LAVAL Rockets-
63 - 2019-09-30619CLEVELAND Monsters-LAVAL Rockets-
64 - 2019-10-01625LAVAL Rockets-PV Sharapovas-
66 - 2019-10-03641LAVAL Rockets-MILWAUKEE Admirals-
67 - 2019-10-04647PROVIDENCE Bruins-LAVAL Rockets-
68 - 2019-10-05667SYRACUSE Crunch-LAVAL Rockets-
70 - 2019-10-07676LAVAL Rockets-WILKIES-BARRIE Penguins-
71 - 2019-10-08691COLORADO Eagles-LAVAL Rockets-
73 - 2019-10-10707LAVAL Rockets-CORNWALL Aces-
74 - 2019-10-11717LAVAL Rockets-MANITOBA Moose-
75 - 2019-10-12725WILKIES-BARRIE Penguins-LAVAL Rockets-
76 - 2019-10-13741LAVAL Rockets-BRIDGEPORT Sound Tigers-
77 - 2019-10-14752TORONTO Marlies-LAVAL Rockets-
79 - 2019-10-16770BELLEVILLE Senators-LAVAL Rockets-
81 - 2019-10-18789ROCKFORD IceHogs-LAVAL Rockets-
82 - 2019-10-19798LAVAL Rockets-MANITOBA Moose-
83 - 2019-10-20812LAVAL Rockets-MILWAUKEE Admirals-
84 - 2019-10-21823ROCKFORD IceHogs-LAVAL Rockets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
86 - 2019-10-23841LAVAL Rockets-MONT-LAURIER Sommet-
87 - 2019-10-24849LAVAL Rockets-ROCKFORD IceHogs-
88 - 2019-10-25858BROOKLYN Wolfpack-LAVAL Rockets-
90 - 2019-10-27879CHICAGO Wolves-LAVAL Rockets-
91 - 2019-10-28893IOWA Wild-LAVAL Rockets-
93 - 2019-10-30906LAVAL Rockets-UTICA Comets-
94 - 2019-10-31913LAVAL Rockets-SAN DIEGO Gulls-
96 - 2019-11-02929CHICAGO Wolves-LAVAL Rockets-
98 - 2019-11-04945LAVAL Rockets-SAN DIEGO Gulls-
99 - 2019-11-05956SAN DIEGO Gulls-LAVAL Rockets-
101 - 2019-11-07974SAN DIEGO Gulls-LAVAL Rockets-
102 - 2019-11-08978LAVAL Rockets-ROCKFORD IceHogs-
103 - 2019-11-09984LAVAL Rockets-UTICA Comets-
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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
850,988$ 1,834,000$ 1,759,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 605,653$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 24,150$ 1,738,800$




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
32281880001117349124148400011642638141040000010923863917331949207944236113304634214439542160294588681522.06%1151686.09%653979967.46%40468059.41%32747369.13%896703481152311176
Total Saison Régulière281880001117349124148400011642638141040000010923863917331949207944236113304634214439542160294588681522.06%1151686.09%653979967.46%40468059.41%32747369.13%896703481152311176