Chiefs
GP: 82 | W: 34 | L: 37 | T: 10 | P: 79
GF: 242 | GA: 259 | PP%: 20.72% | PK%: 82.50%
DG: Christian Cheminais | Morale : 47 | Moyenne d’équipe : 65
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Centre de jeu
Chiefs
34-37-1, 79pts
4
FINAL
2 Pacifiques de la route
27-47-2, 62pts
Team Stats
W3StreakL3
21-14-1Home Record14-25-1
13-23-0Away Record13-22-1
6-2-0Last 10 Games3-6-0
2.95Goals Per Game2.82
3.16Goals Against Per Game3.50
20.72%Power Play Percentage14.58%
82.50%Penalty Kill Percentage78.62%
Croque-Morts
27-39-2, 70pts
3
FINAL
4 Chiefs
34-37-1, 79pts
Team Stats
L5StreakW3
13-17-1Home Record21-14-1
14-22-1Away Record13-23-0
0-7-1Last 10 Games6-2-0
2.99Goals Per Game2.95
3.29Goals Against Per Game3.16
18.34%Power Play Percentage20.72%
79.75%Penalty Kill Percentage82.50%
Meneurs d'équipe
Buts
Greg Paslawski
21
Passes
Greg Paslawski
12
Points
Greg Paslawski
33
Plus/Moins
Greg Paslawski
0
Victoires
Mike Dunham
30
Pourcentage d’arrêts
Jacques Cloutier
0.907

Statistiques d’équipe
Buts pour
242
2.95 GFG
Tirs pour
2195
26.77 Avg
Pourcentage en avantage numérique
20.7%
81 GF
Début de zone offensive
39.4%
Buts contre
259
3.16 GAA
Tirs contre
2373
28.94 Avg
Pourcentage en désavantage numérique
82.5%
88 GA
Début de la zone défensive
41.7%
Information d’équipe

Directeur généralChristian Cheminais
EntraîneurMarc Crawford
DivisionDivision 1
ConférencePrince de Galles
CapitaineRandy Cunneyworth
Assistant #1
Assistant #2Shane Churla


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure22
Limite contact 49 / 65
Espoirs8


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
1Benoit HogueX98.008171576973727675757774657455644723680284900,000$
2Mike KrushelnyskiX100.00634781667573746866676278627994337670341520,000$
3Bobby HolikX100.007257686581747671747672806836388460670233660,000$
4Chris TancillX100.006955746871717174597473666450576167660263600,000$
5Bob ProbertX100.009889355980767463616767766850574570650294700,000$
6Shane Churla (A)X100.009995256476707462646851755070754245650292500,000$
7Nick KypreosX100.009590346175727660636258815854525336640281450,000$
8Rob Niedermayer (R)X100.006456827174767566826059786338487727640212250,000$
9Rob RayX100.008281356277646864566067826237376359630263436,000$
10Joey KocurX100.009692285977666858576462796064583441630303625,000$
11Michel Picard (R)X100.005342866972646868636867626644557233630251450,000$
12Matt Johnson (R)X100.008894356480797560456055655535358034600193450,000$
13Glenn FeatherstoneX100.009185416478737362526154864750576247680262635,000$
14Steve FinnX100.008679416674676954515651824972724833670283800,000$
15Jiri Slegr (R)X100.005846746478707369647264796042408357650232552,000$
16Marcus RagnarssonX100.005647716478696981648173765641338440650232456,000$
17Frantisek KuceraX100.006350776577707462627150764831376463630261400,000$
18Geoff SmithX100.006748746875707054505656785335477157630253475,000$
Rayé
1Randy Cunneyworth (C)X100.007971556971727170626766776382891367680331600,000$
2Bobby CarpenterX100.005539886475727076687576737057572539680311750,000$
3Jeff Odgers (R)X100.008991356274777760535959616643616421610262250,000$
4Grant MarshallX100.006455686872626258566158685731319420580212500,000$
5Donald DufresneX100.007053726276697072627260825257525522670271468,000$
6Rene ChapdelaineX100.006950726475666659546142754043474819620283453,000$
MOYENNE D’ÉQUIPE99.92756659657671726561666275595054574265
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
1Mike Dunham (R)100.00717676807680878885727135419121730
2Jacques Cloutier100.0077716566696670827272737074524690
Rayé
1Jamie McLennan100.00717271777361667767706743398447650
MOYENNE D’ÉQUIPE100.0073737174736974827571704951603169
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Crawford83767677768787CAN34195,000$


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
1Randy CunneyworthChiefs (QUE)LW792039595105252361681896013010.58%18166921.148172542284112103641251.10%77100000.7100104133
2Bobby HolikChiefs (QUE)C7629305911200451872386615312.18%11147819.45911206026900092982154.05%158000000.8000000734
3Donald DufresneChiefs (QUE)D7610445493955210910929719.17%110174122.9191120752780223356200.00%000000.6200000227
4Marcus RagnarssonChiefs (QUE)D69143751-1970010385112508212.50%85148621.5491423812350112287320.00%000000.6900000232
5Jiri SlegrChiefs (QUE)D8254550-14700112989339595.38%92179821.9331720592830110353100.00%000000.5600000111
6Glenn FeatherstoneChiefs (QUE)D7213375081662026390109306311.93%105165823.0361925692760220289310.00%000000.6000013421
7Chris TancillChiefs (QUE)RW82222648-106014105227501199.69%6132116.1191524713100000122254.64%9700000.7300000423
8Bob ProbertChiefs (QUE)LW72132336770012546128307710.16%6101314.082810281600000682355.07%6900000.7100000521
9Greg PaslawskiNordiquesRW552112330401571392711515.11%8100018.2094134520320251274044.97%16900110.6600000323
10Mike KrushelnyskiChiefs (QUE)C65131831-52018119120218210.83%10103915.9946102213800062203151.98%86000000.6000000132
11Bobby CarpenterChiefs (QUE)C74171431-92051571424710411.97%14117615.904593117100022092052.87%125600000.5300000002
12Frantisek KuceraChiefs (QUE)D8022426-37609677304236.67%88130116.260004260000174000.00%000000.4000000030
13Rob RayChiefs (QUE)RW74131225-9460675780356916.25%1477210.440112151013931146.40%12500000.6500000121
14Nick KypreosChiefs (QUE)LW61101323-13141451723166175315.15%1082313.503710141480001170233.85%6500000.5600216131
15Benoit HogueChiefs (QUE)C509132233758411977265511.69%387917.60268118300062074050.49%112500000.5000001113
16Jim DowdNordiquesC517714-92009970237910.00%1061612.0800008000081053.35%68600000.4500000110
17Shane ChurlaChiefs (QUE)RW7331114-112220156598222473.66%087111.9412313104000190058.82%6800000.3200112010
18Geoff SmithChiefs (QUE)D824913-8740126584315249.30%59122814.98101546000257010.00%000000.2100000012
19Joey KocurChiefs (QUE)RW4065117475682040132415.00%53438.60000010003142044.44%2700000.6400100003
20Steve FinnChiefs (QUE)D3037105635721920101815.00%3865922.00156111090000134100.00%000000.3000010100
21Michel PicardChiefs (QUE)LW51527-4001184192812.20%03566.9910118000080033.33%2400000.3900000000
22Matt JohnsonChiefs (QUE)LW57347-5671571221842216.67%24467.8400000000000025.00%2400000.3100012010
23Rob NiedermayerChiefs (QUE)C16044-100020192110.00%11318.1902207000010060.58%10400000.6100000000
24Rene ChapdelaineChiefs (QUE)D1000120520000.00%41616.980000000000000.00%000000.0000000000
25Jeff OdgersChiefs (QUE)RW80000201123040.00%0475.9300012000000044.44%900000.0000000000
Statistiques d’équipe totales ou en moyenne1476242436678-541233145190318242195629151211.03%6992387916.188115023164531724711533318341652.03%705900110.57005518353639
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
1Mike DunhamChiefs (QUE)74303380.8893.1641068221619460210.0000748542
2Jacques CloutierChiefs (QUE)53100.9072.8727200131400000.0000412000
3Jamie McLennanChiefs (QUE)151420.8992.9958200292860000.0000462100
Statistiques d’équipe totales ou en moyenne943438100.8913.1249618225823720210.00008282642


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
Benoit HogueChiefs (QUE)C281993-02-09 9:08:37 PMNo194 Lbs5 ft10NoNoNo4Pro & Farm900,000$90,000$732$No900,000$900,000$900,000$
Bob ProbertChiefs (QUE)LW291992-02-09 9:08:37 PMNo225 Lbs6 ft3NoNoNo4Pro & Farm700,000$70,000$569$No700,000$700,000$700,000$
Bobby CarpenterChiefs (QUE)C311990-02-09 9:08:37 PMNo200 Lbs6 ft0NoNoNo1Pro & Farm750,000$75,000$610$No
Bobby HolikChiefs (QUE)C231998-02-09 9:08:37 PMNo225 Lbs6 ft3NoNoNo3Pro & Farm660,000$66,000$537$No660,000$660,000$
Chris TancillChiefs (QUE)RW261995-02-09 9:08:37 PMNo185 Lbs5 ft10NoNoNo3Pro & Farm600,000$60,000$488$No600,000$600,000$
Donald DufresneChiefs (QUE)D271994-02-09 9:08:37 PMNo206 Lbs6 ft1NoNoNo1Pro & Farm468,000$46,800$380$No
Frantisek KuceraChiefs (QUE)D261995-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo1Pro & Farm400,000$40,000$325$No
Geoff SmithChiefs (QUE)D251996-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo3Pro & Farm475,000$47,500$386$No475,000$475,000$
Glenn FeatherstoneChiefs (QUE)D261995-02-09 9:08:37 PMNo215 Lbs6 ft4NoNoNo2Pro & Farm635,000$63,500$516$No635,000$
Grant MarshallChiefs (QUE)RW212000-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$407$No500,000$
Jacques CloutierChiefs (QUE)G341987-02-09 9:08:37 PMNo155 Lbs5 ft7NoNoNo2Pro & Farm515,000$51,500$419$No515,000$
Jamie McLennanChiefs (QUE)G231998-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo3Pro & Farm406,000$40,600$330$No406,000$406,000$
Jeff OdgersChiefs (QUE)RW261995-08-11 9:32:17 AMYes200 Lbs6 ft0NoNoNo2Pro & Farm250,000$25,000$203$No250,000$
Jiri SlegrChiefs (QUE)D231998-02-09 9:08:37 PMYes216 Lbs6 ft1NoNoNo2Pro & Farm552,000$55,200$449$No552,000$
Joey KocurChiefs (QUE)RW301991-02-09 9:08:37 PMNo220 Lbs6 ft0NoNoNo3Pro & Farm625,000$62,500$508$No625,000$625,000$
Marcus RagnarssonChiefs (QUE)D231998-02-09 9:08:37 PMNo215 Lbs6 ft1NoNoNo2Pro & Farm456,000$45,600$371$No456,000$
Matt JohnsonChiefs (QUE)LW192002-04-19 4:40:48 AMYes230 Lbs6 ft5NoNoNo3Pro & Farm450,000$45,000$366$No450,000$450,000$
Michel PicardChiefs (QUE)LW251996-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo1Pro & Farm450,000$45,000$366$No
Mike DunhamChiefs (QUE)G221999-02-09 9:08:37 PMYes195 Lbs6 ft3NoNoNo4Pro & Farm871,000$87,100$708$No871,000$871,000$871,000$
Mike KrushelnyskiChiefs (QUE)C341987-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo1Pro & Farm520,000$52,000$423$No
Nick KypreosChiefs (QUE)LW281993-02-09 9:08:37 PMNo210 Lbs6 ft0NoNoNo1Pro & Farm450,000$45,000$366$No
Randy CunneyworthChiefs (QUE)LW331988-02-09 9:08:37 PMNo180 Lbs6 ft0NoNoNo1Pro & Farm600,000$60,000$488$No
Rene ChapdelaineChiefs (QUE)D281993-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo3Pro & Farm453,000$45,300$368$No453,000$453,000$
Rob NiedermayerChiefs (QUE)C212000-08-11 9:28:24 AMYes200 Lbs6 ft2NoNoNo2Pro & Farm250,000$25,000$203$No250,000$
Rob RayChiefs (QUE)RW261995-02-09 9:08:37 PMNo216 Lbs6 ft0NoNoNo3Pro & Farm436,000$43,600$354$No436,000$436,000$
Shane ChurlaChiefs (QUE)RW291992-02-09 9:08:37 PMNo201 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$407$No500,000$
Steve FinnChiefs (QUE)D281993-02-09 9:08:37 PMNo199 Lbs6 ft1NoNoNo3Pro & Farm800,000$80,000$650$No800,000$800,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.44202 Lbs6 ft12.30543,407$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bob ProbertBenoit HogueChris Tancill35122
2Nick KypreosBobby HolikShane Churla30014
3Michel PicardMike KrushelnyskiRob Ray20122
4Matt JohnsonRob NiedermayerJoey Kocur15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Glenn FeatherstoneSteve Finn35122
2Jiri SlegrMarcus Ragnarsson30122
3Geoff SmithFrantisek Kucera20122
4Glenn FeatherstoneSteve Finn15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bob ProbertBenoit HogueChris Tancill60122
2Nick KypreosBobby HolikShane Churla40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Glenn FeatherstoneSteve Finn60122
2Jiri SlegrMarcus Ragnarsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Benoit HogueBobby Holik60122
2Mike KrushelnyskiChris Tancill40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Glenn FeatherstoneSteve Finn60122
2Jiri SlegrMarcus Ragnarsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Benoit Hogue60122Glenn FeatherstoneSteve Finn60122
2Bobby Holik40122Jiri SlegrMarcus Ragnarsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Benoit HogueBobby Holik60122
2Mike KrushelnyskiChris Tancill40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Glenn FeatherstoneSteve Finn60122
2Jiri SlegrMarcus Ragnarsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bob ProbertBenoit HogueChris TancillGlenn FeatherstoneSteve Finn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bob ProbertBenoit HogueChris TancillGlenn FeatherstoneSteve Finn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rob Niedermayer, Rob Ray, Joey KocurRob Niedermayer, Rob RayJoey Kocur
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Geoff Smith, Frantisek Kucera, Jiri SlegrGeoff SmithFrantisek Kucera, Jiri Slegr
Tirs de pénalité
Benoit Hogue, Bobby Holik, Mike Krushelnyski, Chris Tancill, Shane Churla
Gardien
#1 : Mike Dunham, #2 : Jacques Cloutier


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
1Ailes Rouges412100001415-12011000068-22110000087130.3751426400088777611196767297672313237647712325.00%27485.19%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
2As4400000017512220000008352200000092781.0001729460088777611146767297672310236439515533.33%18288.89%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
3Banshees605001001425-1130200100611-530300000814-610.08314264000887776114567672976723176538613724520.83%33972.73%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
4Canadiens8422000024222422000001114-3420200001385100.625244266008877761201676729767232527516320951815.69%64985.94%11447277852.09%1524294751.71%702133452.62%1918125619576651097545
5Citadelles614100001124-1331200000612-630210000512-730.25011203100887776115167672976723187519012020420.00%30776.67%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
6Croque-Morts5221000013130220000009633021000047-350.50013253800887776112467672976723142388113223417.39%35682.86%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
7Harvard8530000026251431000001495422000001216-4100.6252645710088777612396767297672320665108179411024.39%541081.48%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
8Isotopes632010002020032100000990311010001111080.66720365600887776117067672976723150549112232721.88%41587.80%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
9Mooses431000001174220000008352110000034-160.750112031018877761107676729767231163558911915.26%24195.83%11447277852.09%1524294751.71%702133452.62%1918125619576651097545
10Pacifiques de la route4211000016124210100008532110000087150.6251630460088777611166767297672310123508930826.67%24291.67%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
11Riverman52120000171253111000010822101000074360.60017335000887776112867672976723164386212324625.00%29582.76%11447277852.09%1524294751.71%702133452.62%1918125619576651097545
12Snipers422000001518-32200000096320200000612-640.5001528431088777611046767297672314648931029333.33%29968.97%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
13Spoonman's824200002426-24112000013121413000001114-360.375244165008877761224676729767232076993196491122.45%38878.95%11447277852.09%1524294751.71%702133452.62%1918125619576651097545
14Weetouches615000001323-1031200000711-430300000612-620.167132336018877761155676729767231704210814329517.24%34779.41%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
15Wolves41300000712-5211000005412020000028-620.2507121900887776198676729767231223551881317.69%23482.61%01447277852.09%1524294751.71%702133452.62%1918125619576651097545
Total823337101100242259-1741211450100129121841122351000113138-25790.4822424366781288777612195676729767232373699124119033918120.72%5038882.50%41447277852.09%1524294751.71%702133452.62%1918125619576651097545
_Since Last GM Reset82433701100242259-17412114501001291218412223-51000113138-25890.5432424366781288777612195676729767232373699124119033918120.72%5038882.50%41447277852.09%1524294751.71%702133452.62%1918125619576651097545
_Vs Conference48212501100132165-33241011201006678-12241114-210006687-21450.469132233365018877761128567672976723134840973911062465020.33%2945581.29%21447277852.09%1524294751.71%702133452.62%1918125619576651097545
_Vs Division241590000074731126420000383531295-200003638-2300.62574128202008877761664676729767236652093645841412920.57%1562782.69%21447277852.09%1524294751.71%702133452.62%1918125619576651097545

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8279W3242436678219523736991241190312
Tous les matchs
GPWLOTWOTL TGFGA
8233371110242259
Matchs locaux
GPWLOTWOTL TGFGA
412114015129121
Matchs extérieurs
GPWLOTWOTL TGFGA
411223105113138
Derniers 10 matchs
WLOTWOTL T
62002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3918120.72%5038882.50%4
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
676729767238877761
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
1447277852.09%1524294751.71%702133452.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1918125619576651097545


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
1 - 2021-05-048Chiefs2Canadiens2TXSommaire du match
2 - 2021-05-0514Harvard2Chiefs1LSommaire du match
4 - 2021-05-0719Canadiens2Chiefs3WSommaire du match
6 - 2021-05-0933Spoonman's1Chiefs6WSommaire du match
7 - 2021-05-1045Chiefs2Spoonman's3LSommaire du match
8 - 2021-05-1148Chiefs4Harvard2WSommaire du match
9 - 2021-05-1255Weetouches5Chiefs0LSommaire du match
11 - 2021-05-1466Canadiens5Chiefs0LSommaire du match
13 - 2021-05-1677Harvard1Chiefs2WSommaire du match
15 - 2021-05-1883Chiefs2Weetouches4LSommaire du match
17 - 2021-05-2093Chiefs0Banshees4LSommaire du match
19 - 2021-05-2299Spoonman's4Chiefs4TXSommaire du match
21 - 2021-05-24106Chiefs3Canadiens3TXSommaire du match
23 - 2021-05-26114Citadelles3Chiefs2LSommaire du match
25 - 2021-05-28120Chiefs2Citadelles2TXSommaire du match
28 - 2021-05-31130Riverman4Chiefs3LSommaire du match
29 - 2021-06-01141Chiefs0Mooses4LSommaire du match
30 - 2021-06-02145Croque-Morts3Chiefs5WSommaire du match
32 - 2021-06-04154Chiefs5Ailes Rouges2WSommaire du match
33 - 2021-06-05161Ailes Rouges4Chiefs2LSommaire du match
34 - 2021-06-06172Citadelles2Chiefs4WSommaire du match
35 - 2021-06-07180Chiefs2Isotopes5LSommaire du match
37 - 2021-06-09187Chiefs3Ailes Rouges5LSommaire du match
39 - 2021-06-11194Canadiens3Chiefs5WSommaire du match
41 - 2021-06-13199Chiefs0Croque-Morts2LSommaire du match
43 - 2021-06-15208Chiefs5Canadiens1WSommaire du match
45 - 2021-06-17215Banshees5Chiefs2LSommaire du match
47 - 2021-06-19226Pacifiques de la route4Chiefs4TXSommaire du match
49 - 2021-06-21236Chiefs4Isotopes2WSommaire du match
51 - 2021-06-23240Chiefs4Pacifiques de la route5LSommaire du match
53 - 2021-06-25247Wolves3Chiefs2LSommaire du match
54 - 2021-06-26256Chiefs5Spoonman's3WSommaire du match
55 - 2021-06-27262Chiefs1Wolves4LSommaire du match
56 - 2021-06-28269Ailes Rouges4Chiefs4TXSommaire du match
57 - 2021-06-29277Chiefs1Spoonman's2LSommaire du match
59 - 2021-07-01286Harvard3Chiefs5WSommaire du match
60 - 2021-07-02296Riverman2Chiefs5WSommaire du match
61 - 2021-07-03303Chiefs3As1WSommaire du match
63 - 2021-07-05311Spoonman's4Chiefs0LSommaire du match
65 - 2021-07-07322Banshees3Chiefs2LSommaire du match
66 - 2021-07-08329Chiefs3Banshees4LSommaire du match
67 - 2021-07-09337Isotopes1Chiefs3WSommaire du match
69 - 2021-07-11347Chiefs2Citadelles5LSommaire du match
71 - 2021-07-13355Banshees3Chiefs2LXSommaire du match
72 - 2021-07-14363Chiefs5Isotopes4WXSommaire du match
74 - 2021-07-16369Riverman2Chiefs2TXSommaire du match
76 - 2021-07-18379Chiefs5Banshees6LSommaire du match
77 - 2021-07-19386Pacifiques de la route1Chiefs4WSommaire du match
78 - 2021-07-20390Chiefs2Snipers4LSommaire du match
79 - 2021-07-21401Chiefs1Croque-Morts2LSommaire du match
80 - 2021-07-22407Chiefs0Harvard6LSommaire du match
81 - 2021-07-23412Citadelles7Chiefs0LSommaire du match
83 - 2021-07-25424Canadiens4Chiefs3LSommaire du match
85 - 2021-07-27433Spoonman's3Chiefs3TXSommaire du match
88 - 2021-07-30444Chiefs3Mooses0WSommaire du match
89 - 2021-07-31451Chiefs2Weetouches3LSommaire du match
90 - 2021-08-01458Isotopes7Chiefs4LSommaire du match
91 - 2021-08-02467As2Chiefs4WSommaire du match
93 - 2021-08-04476Chiefs5Riverman2WSommaire du match
94 - 2021-08-05484As1Chiefs4WSommaire du match
95 - 2021-08-06491Chiefs3Spoonman's6LSommaire du match
96 - 2021-08-07499Wolves1Chiefs3WSommaire du match
98 - 2021-08-09510Chiefs3Canadiens2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
99 - 2021-08-10516Harvard3Chiefs6WSommaire du match
100 - 2021-08-11524Chiefs4Snipers8LSommaire du match
101 - 2021-08-12531Isotopes1Chiefs2WSommaire du match
103 - 2021-08-14539Chiefs1Wolves4LSommaire du match
104 - 2021-08-15547Snipers5Chiefs6WSommaire du match
105 - 2021-08-16553Chiefs6As1WSommaire du match
106 - 2021-08-17563Snipers1Chiefs3WSommaire du match
107 - 2021-08-18571Chiefs1Citadelles5LSommaire du match
108 - 2021-08-19577Chiefs2Weetouches5LSommaire du match
110 - 2021-08-21586Mooses2Chiefs4WSommaire du match
111 - 2021-08-22593Chiefs3Croque-Morts3TXSommaire du match
112 - 2021-08-23599Weetouches6Chiefs2LSommaire du match
114 - 2021-08-25611Mooses1Chiefs4WSommaire du match
115 - 2021-08-26620Chiefs6Harvard4WSommaire du match
116 - 2021-08-27626Chiefs2Riverman2TXSommaire du match
117 - 2021-08-28630Chiefs2Harvard4LSommaire du match
118 - 2021-08-29634Weetouches0Chiefs5WSommaire du match
119 - 2021-08-30637Chiefs4Pacifiques de la route2WSommaire du match
121 - 2021-09-01648Croque-Morts3Chiefs4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,551,146$ 1,467,200$ 1,741,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,467,200$ 1,551,146$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 12,701$ 12,701$




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