Connexion

Rapides
GP: 10 | W: 4 | L: 6
GF: 32 | GA: 39 | PP%: 12.20% | PK%: 72.97%
DG: Mat Roy | Morale : 39 | Moyenne d’équipe : 63
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Centre de jeu
Gambit
8-5-0, 16pts
4
FINAL
3 Rapides
4-6-0, 8pts
Team Stats
L1StreakL1
5-2-0Home Record3-2-0
3-3-0Away Record1-4-0
6-3-1Last 10 Games4-3-3
3.77Buts par match 3.20
3.23Buts contre par match 3.90
32.50%Pourcentage en avantage numérique12.20%
80.56%Pourcentage en désavantage numérique72.97%
Gambit
8-5-0, 16pts
5
FINAL
2 Rapides
4-6-0, 8pts
Team Stats
L1StreakL1
5-2-0Home Record3-2-0
3-3-0Away Record1-4-0
6-3-1Last 10 Games4-3-3
3.77Buts par match 3.20
3.23Buts contre par match 3.90
32.50%Pourcentage en avantage numérique12.20%
80.56%Pourcentage en désavantage numérique72.97%
Meneurs d'équipe
Buts
Emil Bemstrom
6
Passes
Jonny Brodzinski
9
Points
Jonny Brodzinski
13
Plus/Moins
Nicolas Aube-Kubel
6
Victoires
Dustin Wolf
4
Pourcentage d’arrêts
Dustin Wolf
0.902

Statistiques d’équipe
Buts pour
32
3.20 GFG
Tirs pour
401
40.10 Avg
Pourcentage en avantage numérique
12.2%
5 GF
Début de zone offensive
43.1%
Buts contre
39
3.90 GAA
Tirs contre
398
39.80 Avg
Pourcentage en désavantage numérique
73.0%%
10 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralMat Roy
EntraîneurBarry Trotz
DivisionAméricaine-Ouest
ConférenceAméricaine
Capitaine
Assistant #1Nicolas Aube-Kubel
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,838
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure20
Limite contact 55 / 60
Espoirs35


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 moyen
1Emil Bemstrom62XX100.0064389469737986707367686270666957836602621,500,000$
2Eric Robinson50X100.0076399465838084646163627361727036836603021,500,000$
3Jonny Brodzinski22XX100.006638866775828668806967636871724384660322750,000$
4Nathan Walker26XX100.007246846768818565836667646870725183660311500,000$
5Steven Lorentz18XX100.007638936690778263786061756269714178660292500,000$
6Brandon Duhaime0XX100.008477746780778563566061766268695184650282500,000$
7Adam Klapka0X100.0087496462998684616058626459636645406402431,525,000$
8Nicolas Aube-Kubel (A)96XX100.007862806676798364576360626169706084640291900,000$
9Cole Guttman0X100.006238836863868267816566626865674883640262725,000$
10Cole Koepke0XX100.007138916478848563605962616466684784640271725,000$
11John Leonard0X100.006237916372858764596062636567684779630263750,000$
12Samuel Walker0X100.005736896868817166696167596564664829630262725,000$
13Andreas Englund3X100.008173696386798761306558674968706284640293500,000$
14Dylan Coghlan52X100.0071408366828075643067596251666842446402731,525,000$
15Sam Malinski60X100.006136896570837364306765616366674259640262500,000$
16Victor Soderstrom33X100.0062378165698586633066586150636584726302431,000,000$
17Scott Perunovich49X100.006036906765817466307153594966687068630261850,000$
18Jack Thompson0X100.006737926375848559306257644962646358620232800,000$
Rayé
1Georgii Merkulov0X100.0059369066688785647062636166656743406302431,525,000$
2Jack Finley0X100.008742796396778258676059646362657020630222850,000$
3Jan Jenik0X100.0067406863748477616762586463656766206202431,000,000$
4Justin Kirkland0XX100.007039846380787559716158606268705621620285500,000$
5Gage Goncalves0X100.006438816270788763736557586263656720620241850,000$
6Marat Khusnutdinov0X100.006534886668826365646256686661647621620223850,000$
7Zack Bolduc0X100.006237876572837364676163606561648320620223900,000$
8Maxim Groshev0X100.007139896080797258615956576063656120610233800,000$
9Reid Schaefer0X100.008642805895797157545655615861637721610213900,000$
10Gabriel Fortier0X100.006336905968778458625657605564666720600252500,000$
11Jimmy Huntington0X100.006640755675768257665958605666684221600263900,000$
12Tyce Thompson0X100.006039755972798357605854565965676021590252750,000$
13Sean Day0X100.007840855687708255305953584666686120610272500,000$
14Samuel Knazko0X100.0064379158778178563057546047626465216002231,525,000$
MOYENNE D’ÉQUIPE100.00694284647781806257626063606567575063
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 SPÂgeContratSalaire moyen
1Dustin Wolf0100.007991877078777978777978637059696702451,500,000$
2Matthew Murray35100.007683797775747675747675667555436502731,525,000$
Rayé
1Hugo Alnefelt0100.00768278777574767574767563726520650241800,000$
MOYENNE D’ÉQUIPE100.0077858175767577767577766472604466
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz75797378938753CAN6223,500,000$


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
1Jonny BrodzinskiRapides (MTL)C/RW104913160739518227.84%125625.6802213370000191055.24%28600001.0100000011
2Emil BemstromRapides (MTL)C/RW1066121406154273014.29%323423.48112832000031046.15%1300001.0200000210
3Eric RobinsonRapides (MTL)LW1045912012173283612.50%319319.31112833000030033.33%900000.9300000110
4Nathan WalkerRapides (MTL)LW/RW1036926025293910427.69%726726.7702212380000260045.71%3500000.6700000001
5Andreas EnglundRapides (MTL)D1008813954710156120.00%1524224.22011629000021000.00%000000.6600100001
6Steven LorentzRapides (MTL)C/LW1025740013403210256.25%822122.151012340002371052.27%35200000.6300000000
7Sam MalinskiRapides (MTL)D10257-72018121751211.76%1328928.97213839000033000.00%000000.4800000010
8Nicolas Aube-KubelRapides (MTL)C/RW1033662027142562612.00%116616.64000634000020037.04%8100000.7200000100
9Jack ThompsonRapides (MTL)D914508014712058.33%817819.8600082400004000.00%000000.5600000000
10Dylan CoghlanRapides (MTL)D10224080327163412.50%1825925.92000211000025100.00%000000.3100000001
11Scott PerunovichRapides (MTL)D8044240589060.00%816520.74022320000015000.00%000000.4800000000
12Victor SoderstromRapides (MTL)D10112-22015533133.33%1119319.3100019000011000.00%000000.2100000010
13Cole KoepkeRapides (MTL)LW/RW10112-3003714677.14%013113.2000001000030022.22%900000.3000000000
14Brandon DuhaimeRapides (MTL)LW/RW10011-6201920344190.00%515015.05000170001160055.56%900000.1300000000
15John LeonardRapides (MTL)LW7101-20025104410.00%1507.2200001000040045.45%1100000.4000000000
16Cole GuttmanRapides (MTL)C10011-400116136120.00%3999.9700000000000054.89%13300000.2000000000
17Georgii MerkulovRapides (MTL)C8101-40021514597.14%08510.6800000000000052.68%11200000.2300000000
18Samuel WalkerRapides (MTL)C310100012100100.00%0175.8300000000010052.94%1700001.1400000000
19Adam KlapkaRapides (MTL)RW10000-260207204140.00%110910.9000000000000050.00%600000.00%00000000
20Reid SchaeferRapides (MTL)LW3000000242020.00%0268.9900000000000050.00%400000.00%00000000
Statistiques d’équipe totales ou en moyenne178326193-12915271279401952887.98%106334018.77510157835600032304051.53%107700000.5600100454
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
1Dustin WolfRapides (MTL)104330.9023.3969120393980000.00%0100010
Statistiques d’équipe totales ou en moyenne104330.9023.3969120393980000100010


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam KlapkaRapides (MTL)RW242000-09-14No235 Lbs6 ft8NoNoNo3Pro & Farm1,525,000$0$0$No1,525,000$1,525,000$Lien
Andreas EnglundRapides (MTL)D291996-01-21No200 Lbs6 ft4NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Brandon DuhaimeRapides (MTL)LW/RW281997-05-22No200 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Cole GuttmanRapides (MTL)C261999-04-06No167 Lbs5 ft9NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Cole KoepkeRapides (MTL)LW/RW271998-05-17No203 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLien
Dustin WolfRapides (MTL)G242001-04-16No166 Lbs6 ft0NoNoNo5Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Dylan CoghlanRapides (MTL)D271998-02-19No208 Lbs6 ft2NoNoNo3Pro & Farm1,525,000$0$0$No1,525,000$1,525,000$Lien
Emil BemstromRapides (MTL)C/RW261999-06-01No195 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Eric RobinsonRapides (MTL)LW301995-06-14No211 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Gabriel FortierRapides (MTL)C252000-02-06No177 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Gage GoncalvesRapides (MTL)C242001-01-16No188 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLien
Georgii MerkulovRapides (MTL)C242000-10-10No176 Lbs5 ft11NoNoNo3Pro & Farm1,525,000$0$0$No1,525,000$1,525,000$Lien
Hugo AlnefeltRapides (MTL)G242001-06-04No177 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien
Jack FinleyRapides (MTL)C222002-09-02No220 Lbs6 ft6NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Jack ThompsonRapides (MTL)D232002-03-19No189 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Jan JenikRapides (MTL)RW242000-09-15No185 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Jimmy HuntingtonRapides (MTL)C261998-11-18No204 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
John LeonardRapides (MTL)LW261998-08-07No196 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Jonny BrodzinskiRapides (MTL)C/RW321993-06-19No204 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Justin KirklandRapides (MTL)C/LW281996-08-02No183 Lbs6 ft3NoNoNo5Pro & Farm500,000$0$0$No500,000$500,000$500,000$500,000$Lien
Marat KhusnutdinovRapides (MTL)C222002-07-17No176 Lbs5 ft11NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Matthew MurrayRapides (MTL)G271998-02-02No196 Lbs6 ft1NoNoNo3Pro & Farm1,525,000$0$0$No1,525,000$1,525,000$Lien
Maxim GroshevRapides (MTL)LW232001-12-14No196 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Nathan WalkerRapides (MTL)LW/RW311994-02-07No187 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Nicolas Aube-KubelRapides (MTL)C/RW291996-05-10No207 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Reid SchaeferRapides (MTL)LW212003-09-21No226 Lbs6 ft5NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Sam MalinskiRapides (MTL)D261998-07-27No190 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Samuel KnazkoRapides (MTL)D222002-08-07No198 Lbs6 ft1NoNoNo3Pro & Farm1,525,000$0$0$No1,525,000$1,525,000$Lien
Samuel WalkerRapides (MTL)C261999-06-07No180 Lbs5 ft10NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Scott PerunovichRapides (MTL)D261998-08-18No175 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$NoLien
Sean DayRapides (MTL)D271998-01-09No218 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Steven LorentzRapides (MTL)C/LW291996-04-13No216 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tyce ThompsonRapides (MTL)RW251999-07-12No175 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Victor SoderstromRapides (MTL)D242001-02-26No184 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Zack BolducRapides (MTL)C222003-02-24No187 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3525.69194 Lbs6 ft12.40912,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerJonny BrodzinskiEmil Bemstrom40113
2Eric RobinsonCole GuttmanAdam Klapka30113
3Brandon DuhaimeSteven LorentzCole Koepke20122
4John LeonardSamuel WalkerNicolas Aube-Kubel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundDylan Coghlan40122
2Scott PerunovichJack Thompson30122
3Sam MalinskiVictor Soderstrom20122
4Sam MalinskiAndreas Englund10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerNicolas Aube-KubelEmil Bemstrom60104
2Eric RobinsonSteven LorentzJonny Brodzinski40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam MalinskiScott Perunovich60113
2Andreas EnglundVictor Soderstrom40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Steven LorentzBrandon Duhaime60131
2Nathan WalkerEric Robinson40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundJack Thompson60131
2Sam MalinskiDylan Coghlan40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Steven Lorentz60131Andreas EnglundDylan Coghlan60131
2Nathan Walker40131Jack ThompsonSam Malinski40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven LorentzNathan Walker60113
2Jonny BrodzinskiEmil Bemstrom40113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundScott Perunovich60122
2Jack ThompsonSam Malinski40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerEmil BemstromJonny BrodzinskiScott PerunovichDylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonSteven LorentzBrandon DuhaimeScott PerunovichJack Thompson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Walker, Brandon Duhaime, Steven LorentzEric Robinson, Brandon DuhaimeJonny Brodzinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Coghlan, Scott Perunovich, Sam MalinskiScott PerunovichAndreas Englund, Sam Malinski
Tirs de pénalité
Nicolas Aube-Kubel, Nathan Walker, Jonny Brodzinski, Steven Lorentz, Emil Bemstrom
Gardien
#1 : Dustin Wolf, #2 : Matthew Murray
Lignes d’attaque personnalisées en prolongation
Cole Koepke, Nathan Walker, Jonny Brodzinski, Steven Lorentz, Emil Bemstrom, Eric Robinson, Eric Robinson, Brandon Duhaime, Cole Guttman, Nicolas Aube-Kubel, John Leonard
Lignes de défense personnalisées en prolongation
Sam Malinski, Dylan Coghlan, Andreas Englund, Scott Perunovich, Victor Soderstrom


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
TotalDomicileVisiteur
# 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
1Gambit40400000916-72020000059-42020000047-300.00091827001281021691241191065218349411191317.69%12466.67%023346450.22%22342452.59%9918952.38%2661842808214472
2Outlaws6420000023230330000001293312000001114-380.6672343660012810223212411910652215575215228414.29%25676.00%023346450.22%22342452.59%9918952.38%2661842808214472
Total1046000003239-7532000001718-1514000001521-680.40032619300128102401124119106523981069327141512.20%371072.97%023346450.22%22342452.59%9918952.38%2661842808214472
_Since Last GM Reset1046000003239-7532000001718-1514000001521-680.40032619300128102401124119106523981069327141512.20%371072.97%023346450.22%22342452.59%9918952.38%2661842808214472
_Vs Conference1046000003239-7532000001718-1514000001521-680.40032619300128102401124119106523981069327141512.20%371072.97%023346450.22%22342452.59%9918952.38%2661842808214472
_Vs Division1046000003239-7532000001718-1514000001521-680.40032619300128102401124119106523981069327141512.20%371072.97%023346450.22%22342452.59%9918952.38%2661842808214472

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L13261934013981069327100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600003239
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001718
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51400001521
Derniers 10 matchs
WLOTWOTL SOWSOL
232300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
41512.20%371072.97%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
12411910652128102
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
23346450.22%22342452.59%9918952.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2661842808214472


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2024-10-117Rapides5Outlaws4AWXSommaire du match
4 - 2024-10-1315Rapides5Outlaws6ALXSommaire du match
6 - 2024-10-1523Outlaws3Rapides4BWSommaire du match
8 - 2024-10-1731Outlaws4Rapides5BWSommaire du match
10 - 2024-10-1939Rapides1Outlaws4ALSommaire du match
12 - 2024-10-2147Outlaws2Rapides3BWXSommaire du match
16 - 2024-10-2560Rapides3Gambit4ALXSommaire du match
18 - 2024-10-2764Rapides1Gambit3ALSommaire du match
20 - 2024-10-2968Gambit4Rapides3BLXSommaire du match
22 - 2024-10-3172Gambit5Rapides2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets8540
Assistance9,1895,000
Assistance PCT91.89%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2838 - 94.59% 292,033$1,460,164$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,195,000$ 3,195,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Rapides Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rapides Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Rapides Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Rapides Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rapides Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA