Monsters

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 10 | GA: 12 | PP%: 15.15% | PK%: 86.11%
DG: Patrick Auger | Morale : 77 | Moyenne d'Équipe : 58
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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
1Oscar LindbergX100.00845576788078827181637076557168178690
2Dylan Strome (R)X100.00635570827570707973707065557372177680
3Nick CousinsX100.00775573756966677668657378556564178680
4Oskar Lindblom (R)X100.00765571847072737650636565557070178670
5Chris KellyX100.00685578757768676450626061557575178630
6Nikita SoshnikovX100.00845578816762646550606162555252178620
7Daniel CatenacciX100.00595572626662695550555560557574178580
8Daniel AudetteX100.00585572676259695550555559557175177580
9Nick TarnaskyX100.00745558638179645550555555556465178580
10Mike BrownX100.00605566697569545550555555556970178580
11Zack StortiniX100.00645557618179745550555555556565178580
12Ryan HaggertyX100.00715569687569665550555555555050178570
13Colin White (R)X100.00565555555657576660555555557371180560
14Tim BozonX100.00745567627468645550555555555050124560
15Madison BoweyX100.00795579866974647825716075557878178710
16Ryan SproulX100.00685566766779647425646268557070164660
17Brian LashoffX100.00555555605555785525555555556061178560
18Ville PokkaX100.00555557605757765725575757555353178560
19Mike WeberX100.00555555605555625525555555556970127550
Rayé
1Quinton HowdenX100.00565563656866695550555555555656120560
2Matt Buckles (R)X100.00825582557954545550555555555050120550
3Akim Aliu (R)X100.00565555555859605550555555557575120550
4Brandon AldersonX100.00565555555758595550555555557472120540
5Buddy RobinsonX100.00565555555758585550555555557472120540
6Cody Kunyk (R)X100.00565555555758585550555555557371120540
7Zach O'Brien (R)X100.00705568555461685550555555555050120540
8Emil Pettersson (R)X100.00555555555555555550555555557571120540
9Stephen MacAulay (R)X100.00565559626866545550555555555050120540
10Lauri KorpikoskiX100.00555555555555555550555555557473120540
11Joshua WinquistX100.00565555555556555550555555555050120520
12Olivier Archambault (R)X100.00555562555454545550555555555050120520
13Mike SisloX100.00565555555555555550555555555050120520
14Kyle BurroughsX100.00565556605656635625565656555353120540
15Robin Norell (R)X100.00555555605555675525555555555353120540
16Jeremy Roy (R)X100.00565555605555565525555555556262120540
17Will O'NeillX100.00575555605555675525555555555353120540
18Josiah DidierX100.00555555605555595525555555555353120530
19John NegrinX100.00555555605555585525555555555353120530
20Brennan Menell (R)X100.00555555605555565525555555555555120530
MOYENNE D'ÉQUIPE100.0062556263636263594457575855626214557
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
1Jack Campbell100.0073778373707075706771556967174700
2Eamon McAdam100.0062707079656565656864556062178650
Rayé
1Jeff Malcolm100.0054645971585858585958555456119580
2Marcus Hogberg100.0055555555555555555555556565120550
3Filip Gustavsson (R)100.0055555555555555555555555060120540
MOYENNE D'ÉQUIPE100.006064646761616261616155606214260
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Ladouceur42626738807060CAN564100,000$


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'ÉquipePOS GP 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
1Oskar LindblomMonsters (Clb)LW524610011141371215.38%08617.34123126000040025.00%800001.3800000120
2Oscar LindbergMonsters (Clb)C531411201014173717.65%411623.232026260000300055.14%10700000.6900000010
3Dylan StromeMonsters (Clb)C5213120315173911.76%28416.911018230000130045.36%9700000.7100000000
4Madison BoweyMonsters (Clb)D512301408880312.50%712825.75112723000023000.00%000000.4700000000
5Daniel AudetteMonsters (Clb)LW5022000243130.00%07114.230110230000100100.00%200000.5600000000
6Nikita SoshnikovMonsters (Clb)RW51120808962316.67%06913.91011223000000028.57%700000.5700000001
7Ryan SproulMonsters (Clb)D5022-5120579300.00%512625.29022626000022000.00%000000.3200000000
8Ville PokkaMonsters (Clb)D5022080123020.00%411122.24011220000018000.00%000000.3600000000
9Brian LashoffMonsters (Clb)D51011206132133.33%1011022.19000021000025100.00%000000.1800000000
10Nick CousinsMonsters (Clb)C50110202673100.00%16412.97000000000140057.14%3500000.3100000000
11Ryan HaggertyMonsters (Clb)RW5011000010010.00%030.680110100000000.00%000005.9100000000
12Chris KellyMonsters (Clb)C5000-380420220.00%35511.08000020000130050.00%2000000.0000000000
13Daniel CatenacciMonsters (Clb)RW5000-100103230.00%0499.8400000000000025.00%400000.0000000000
14Tim BozonMonsters (Clb)LW5000-360302240.00%0265.34000000000000100.00%100000.0000000000
15Nick TarnaskyMonsters (Clb)LW5000-120442030.00%0499.8400000000000050.00%400000.0000000000
16Mike BrownMonsters (Clb)RW5000-300010000.00%1265.35000000000000100.00%100000.0000000000
17Mike WeberMonsters (Clb)D5000-140411110.00%88517.1100008000017000.00%000000.0000000000
18Zack StortiniMonsters (Clb)C5000000311000.00%0173.530001100004000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne90101727-13800759095316410.53%45128414.2759143322700001901050.17%28700000.4200000131
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
1Jack CampbellMonsters (Clb)51400.9022.4229700121220100.000050000
Stats d'équipe Total ou en Moyenne51400.9022.4229700121220100.000050000


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
Akim AliuMonsters (Clb)RW271989-04-23Yes225 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Brandon AldersonMonsters (Clb)RW241992-01-21No202 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brennan MenellMonsters (Clb)D191997-05-24Yes183 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Brian LashoffMonsters (Clb)D261990-07-15No212 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Buddy RobinsonMonsters (Clb)RW251991-09-30No235 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Chris KellyMonsters (Clb)C361980-11-11No198 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No
Cody KunykMonsters (Clb)RW261990-05-20Yes195 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Colin WhiteMonsters (Clb)C191997-01-30Yes190 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No
Daniel AudetteMonsters (Clb)LW201996-05-06No176 Lbs5 ft8NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Daniel CatenacciMonsters (Clb)RW231993-03-09No186 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Dylan StromeMonsters (Clb)C191997-03-07Yes185 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No
Eamon McAdamMonsters (Clb)G221994-09-23No199 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Emil PetterssonMonsters (Clb)C221994-01-14Yes176 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Filip GustavssonMonsters (Clb)G181998-06-07Yes185 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Jack CampbellMonsters (Clb)G251992-01-09No195 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jeff MalcolmMonsters (Clb)G271989-04-13No179 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Jeremy RoyMonsters (Clb)D191997-05-14Yes187 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
John NegrinMonsters (Clb)D271989-03-25No194 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Joshua WinquistMonsters (Clb)LW231993-09-06No185 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Josiah DidierMonsters (Clb)D231993-04-08No203 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Kyle BurroughsMonsters (Clb)D211995-07-12No198 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm630,000$0$0$No
Lauri KorpikoskiMonsters (Clb)LW301986-07-28No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm976,882$0$0$No
Madison BoweyMonsters (Clb)D211995-04-22No194 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm894,000$0$0$No
Marcus HogbergMonsters (Clb)G221994-11-25No209 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Matt BucklesMonsters (Clb)C211995-05-05Yes218 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Mike BrownMonsters (Clb)RW311985-06-23No205 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Mike SisloMonsters (Clb)RW281988-01-19No195 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Mike WeberMonsters (Clb)D291987-12-15No212 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Nick CousinsMonsters (Clb)C231993-07-19No169 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Nick TarnaskyMonsters (Clb)LW321984-11-24No230 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
Nikita SoshnikovMonsters (Clb)RW231993-10-14No183 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Olivier ArchambaultMonsters (Clb)LW231993-02-15Yes176 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Oscar LindbergMonsters (Clb)C251991-10-28No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Oskar LindblomMonsters (Clb)LW201996-08-15Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Quinton HowdenMonsters (Clb)C241992-01-20No189 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Robin NorellMonsters (Clb)D211995-02-17Yes195 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Ryan HaggertyMonsters (Clb)RW231993-03-03No201 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan SproulMonsters (Clb)D241993-01-12No206 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Stephen MacAulayMonsters (Clb)C241992-04-20Yes182 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Tim BozonMonsters (Clb)LW221994-03-24No196 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Ville PokkaMonsters (Clb)D221994-06-02No214 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Will O'NeillMonsters (Clb)D281988-04-27No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Zach O'BrienMonsters (Clb)RW241992-06-29Yes192 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Zack StortiniMonsters (Clb)C311985-09-10No230 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4424.14197 Lbs6 ft12.70427,293$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomOscar Lindberg40122
2Daniel AudetteDylan StromeNikita Soshnikov30122
3Nick TarnaskyNick CousinsDaniel Catenacci20122
4Tim BozonChris KellyMike Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul40122
2Ville PokkaBrian Lashoff30122
3Mike WeberMadison Bowey20122
4Ryan SproulVille Pokka10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomOscar Lindberg60122
2Daniel AudetteDylan StromeNikita Soshnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul60122
2Ville PokkaBrian Lashoff40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Oscar Lindberg60122
2Dylan StromeNick Cousins40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul60122
2Ville PokkaBrian Lashoff40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Madison BoweyRyan Sproul60122
2Oscar Lindberg40122Ville PokkaBrian Lashoff40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Oscar Lindberg60122
2Dylan StromeNick Cousins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyRyan Sproul60122
2Ville PokkaBrian Lashoff40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomOscar LindbergMadison BoweyRyan Sproul
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomOscar LindbergMadison BoweyRyan Sproul
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zack Stortini, Ryan Haggerty, Chris KellyZack Stortini, Ryan HaggertyChris Kelly
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Weber, Brian Lashoff, Madison BoweyMike WeberBrian Lashoff, Madison Bowey
Tirs de Pénalité
, Oscar Lindberg, Dylan Strome, Nick Cousins, Oskar Lindblom
Gardien
#1 : Jack Campbell, #2 : Eamon McAdam


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
1Devils514000001012-2211000005323030000059-420.20010172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
Total514000001012-2211000005323030000059-420.20010172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
_Since Last GM Reset514000001012-2211000005323030000059-420.20010172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
_Vs Conference514000001012-2211000005323030000059-420.20010172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L21017279512245807500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001012
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000053
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
303000059
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
33515.15%36586.11%0
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
38263105320
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
5813842.03%6416339.26%407652.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10871129386230


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 - 2019-04-062Monsters1Devils2LSommaire du Match
3 - 2019-04-0810Monsters2Devils3LSommaire du Match
5 - 2019-04-1018Devils1Monsters4WSommaire du Match
7 - 2019-04-1226Devils2Monsters1LSommaire du Match
9 - 2019-04-1434Monsters2Devils4LSommaire du Match



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 188,009$ 124,568$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 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
13514000001012-2211000005323030000059-4210172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230
Total Séries514000001012-2211000005323030000059-4210172700532095382631012245807533515.15%36586.11%05813842.03%6416339.26%407652.63%10871129386230