Connexion

Blues
GP: 82 | W: 32 | L: 39 | OTL: 11 | P: 75
GF: 241 | GA: 266 | PP%: 20.99% | PK%: 87.06%
DG: Daniel Duchesne | Morale : 20 | Moyenne d’équipe : 68
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Centre de jeu
Blues
32-39-11, 75pts
2
FINAL
1 Canadiens
39-35-8, 86pts
Team Stats
W3StreakW2
16-22-3Home Record22-15-4
16-17-8Away Record17-20-4
5-4-1Last 10 Games5-2-3
2.94Buts par match 2.96
3.24Buts contre par match 3.12
20.99%Pourcentage en avantage numérique22.00%
87.06%Pourcentage en désavantage numérique82.92%
Predators
41-32-9, 91pts
1
FINAL
3 Blues
32-39-11, 75pts
Team Stats
L1StreakW3
21-14-6Home Record16-22-3
20-18-3Away Record16-17-8
4-6-0Last 10 Games5-4-1
3.30Buts par match 2.94
3.18Buts contre par match 3.24
12.85%Pourcentage en avantage numérique20.99%
83.27%Pourcentage en désavantage numérique87.06%
Meneurs d'équipe
Buts
Justin Fontaine
31
Passes
Austin Czarnik
45
Points
Austin Czarnik
72
Plus/Moins
Nicolas Deslauriers
4
Victoires
Malcolm Subban
27
Pourcentage d’arrêts
Malcolm Subban
0.907

Statistiques d’équipe
Buts pour
241
2.94 GFG
Tirs pour
2557
31.18 Avg
Pourcentage en avantage numérique
21.0%
51 GF
Début de zone offensive
38.7%
Buts contre
266
3.24 GAA
Tirs contre
2678
32.66 Avg
Pourcentage en désavantage numérique
87.1%
37 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralDaniel Duchesne
EntraîneurDave Cameron
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,797
Billets de saison1,800


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 60
Espoirs27


Historique d'équipe

Saison actuelle32-39-11 (75PTS)
Historique137-154-28 (0.429%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


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
1Justin Fontaine (R)X99.0069565168716574996899926568908211337603433,000,000$
2Austin Czarnik (R)X99.006341727768629983728476726578714751730292800,000$
3Drake Caggiula (R)X100.009147757170808283508078775573793651730272900,000$
4Tomas Hyka (R)X100.0055387069686487864087786550705842417002921,000,000$
5Kirby Dach (R)X100.005736897587847875807971707663699144700212925,000$
6Geoff PlattX100.007950686571375288688785555185853033690361575,000$
7Nicolas Roy (R)X100.007636916887798369816863726468666045670253800,000$
8Dmytro Timashov (R)X100.008637896770828465586767716870685643670252694,444$
9Lukas Sedlak (R)X100.007942646475757968817165735478634028660292575,000$
10Yakov Trenin (R)X100.008642856782778468756567627168656728660252730,833$
11Kenny Agostino (R)X100.008148666974628871547163676161594441650291575,000$
12Nolan Foote (R)X100.005835956483708165596463576561638024620213863,333$
13Brandon Montour (R)X99.0083457070738788933092928354746966597702821,500,000$
14Xavier Ouellet (R)X99.0058358967738781832580759062827661477402822,000,000$
15Ian McCoshen (R)X100.007138866279676574306777855175607129690262575,000$
16Tomas Kundratek (R)X100.006046876476617890528180517292893336680322575,000$
17Gustav Olofsson (R)X100.005635876775686873307062725267676725650271575,000$
18Paul LaDue (R)X100.006830806475686674307370695857554027650292575,000$
Rayé
1Nicolas DeslauriersX97.3193896863878186625868728162797352356903131,000,000$
2John Quenneville (R)X100.006145866373838068736665716369667619650262575,000$
3Logan Shaw (R)X100.006142926280727867526662716276665320640291575,000$
4Matthew Highmore (R)X100.007335926770878362666361646269665220640262725,000$
5Maxim Letunov (R)X100.005536956377767966696459686371687220630262700,000$
6Garrett Pilon (R)X100.005035956272847262766261635965636319610243750,000$
7Maksim Sushko (R)X100.005835956276818263575961586362647120610233775,000$
8Connor Carrick (R)X100.006648736972676988308185785679634827710281700,000$
9Adam Clendening (R)X100.007162547175489372306251715273736720660292600,000$
10Jaycob Megna (R)X100.006128806487576464305652835262563919640292575,000$
11Austin Strand (R)X100.006446806287757263306157655467645120630253771,500$
12Dillon Heatherington (R)X100.006535576481515271306356715061576620620262575,000$
MOYENNE D’ÉQUIPE99.77684279667671787453726970607267553167
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
1Malcolm Subban (R)100.00828280818190929190827877816840830281900,000$
2Eric Comrie (R)100.00768077727580798180767571756535760263600,000$
Rayé
1Ivan Prosvetov (R)100.00738083847276787776737263675920740233809,167$
MOYENNE D’ÉQUIPE100.0077818079768283838277757074643278
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron68616843806762CAN623800,000$


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
1Austin CzarnikBlues (STL)C82274572-1469251491932398714111.30%41166320.281219312919600062045350.15%19563722000.87410320535
2Justin FontaineBlues (STL)RW74314071-14123151681452457616712.65%34151720.501218304117711251932346.42%4334319000.9408021553
3Tomas HykaBlues (STL)RW82312859-12460124952798316111.11%37144717.667411211620001392034.02%974818000.8103000342
4Brandon MontourBlues (STL)D76114354172014816714961697.38%120181023.8221012152100001223200.00%06266000.6000000412
5Drake CaggiulaBlues (STL)LW77262753-1027151641151804810914.44%46154620.091014243219120261863341.12%1072418100.69310012345
6Kirby DachBlues (STL)C82203050-9115861541826411410.99%35148718.14224131610114801349.13%14412335000.6746001135
7Geoff PlattBlues (STL)LW73162743-2841514481204791247.84%19108214.82224792000014160.00%652414000.7900001113
8Xavier OuelletBlues (STL)D8263541-222106515512062445.00%113199324.311910112250115291000.00%03076000.4100101022
9Connor CarrickBlues (STL)D8053439-9661011215016355633.07%91170621.3314591470005163100.00%05144000.4600101022
10Nicolas RoyBlues (STL)C82122234-4008710699356312.12%23101312.360110120003541150.67%600924000.6700000031
11Nicolas DeslauriersBlues (STL)LW80151025410925177110130425311.54%48131016.382024910003702142.37%591319000.3800302121
12Tomas KundratekBlues (STL)D8222224-860549011352541.77%63149118.19011270000391000.00%03828000.3211000011
13Dmytro TimashovBlues (STL)RW8211920-1200948982325213.41%2196411.770001210001241234.43%611217000.4100000200
14Yakov TreninBlues (STL)RW829514-3135834777264511.69%147649.33000070001452047.06%511313000.3711001001
15Kenny AgostinoBlues (STL)LW824812-424083569027554.44%106938.46000010000190046.15%13199000.3500000010
16Paul LaDueBlues (STL)D571910-276041604019232.50%4286715.2200000011130000.00%01026000.2300000000
17Lukas SedlakBlues (STL)C74729-920077717823518.97%136488.77000030002301148.60%286119000.2800000110
18Ian McCoshenBlues (STL)D46235-11181051733218156.25%4095820.840111810000107000.00%0648000.1000002000
19Gustav OlofssonBlues (STL)D27022-195154112930.00%2440715.0900001000027000.00%0413000.1000100000
20Adam ClendeningBlues (STL)D38011-143956549241990.00%2960916.0400009000016000.00%0520000.0300010000
21John QuennevilleBlues (STL)RW8011100548550.00%2587.330000000000000.00%000000.3400000000
22Jaycob MegnaBlues (STL)D4000020664200.00%26315.800000000005000.00%004000.0000000000
23Matthew HighmoreBlues (STL)C8000-100433030.00%0577.1500000000000047.37%1901000.0000000000
24Nolan FooteBlues (STL)LW16000-200154150.00%11207.540000000000000.00%211000.0000000000
Statistiques d’équipe totales ou en moyenne1476236403639-18872313520032065255792514289.23%8682428416.4551851361861868347471907271848.82%5190483544100.5313399612263333
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
1Malcolm SubbanBlues (STL)692729100.9072.9839231901952086943200.591226517742
2Eric ComrieBlues (STL)2251010.8893.7610540066592296200.688161765001
Statistiques d’équipe totales ou en moyenne913239110.9033.15497819026126781239400.632388282743


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 Salaire restantPlafond 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 ClendeningBlues (STL)D291992-10-26 05:11:13Yes196 Lbs6 ft0NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Austin CzarnikBlues (STL)C291992-12-12 09:09:24Yes170 Lbs5 ft9NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Austin StrandBlues (STL)D251997-02-17 13:11:19Yes216 Lbs6 ft4NoNoNo3Pro & Farm771,500$4,039$0$0$No771,500$771,500$
Brandon MontourBlues (STL)D281994-04-11 10:52:49Yes193 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$7,853$0$0$No1,500,000$
Connor CarrickBlues (STL)D281994-04-13 07:33:19Yes192 Lbs5 ft11NoNoNo1Pro & Farm700,000$3,665$0$0$No
Dillon HeatheringtonBlues (STL)D261995-05-09 08:01:04Yes225 Lbs6 ft4NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Dmytro TimashovBlues (STL)RW251996-10-01 01:52:21Yes187 Lbs5 ft10NoNoNo2Pro & Farm694,444$3,636$0$0$No694,444$
Drake CaggiulaBlues (STL)LW271994-06-20 09:04:53Yes176 Lbs5 ft10NoNoNo2Pro & Farm900,000$4,712$0$0$No900,000$
Eric ComrieBlues (STL)G261995-07-06 09:22:43Yes181 Lbs6 ft1NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Garrett PilonBlues (STL)C241998-04-13 14:43:50Yes187 Lbs5 ft11NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Geoff PlattBlues (STL)LW361985-07-10 11:11:13No188 Lbs5 ft9NoNoNo1Pro & Farm575,000$3,010$0$0$No
Gustav OlofssonBlues (STL)D271994-11-30 12:34:40Yes196 Lbs6 ft3NoNoNo1Pro & Farm575,000$3,010$0$0$No
Ian McCoshenBlues (STL)D261995-08-05 05:30:04Yes217 Lbs6 ft3NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Ivan ProsvetovBlues (STL)G231999-03-05 14:46:51Yes176 Lbs6 ft5NoNoNo3Pro & Farm809,167$4,236$0$0$No809,167$809,167$
Jaycob MegnaBlues (STL)D291992-12-10 13:13:17Yes221 Lbs6 ft6NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
John QuennevilleBlues (STL)RW261996-04-16 03:53:59Yes195 Lbs6 ft1NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Justin FontaineBlues (STL)RW341987-11-06 23:11:13Yes183 Lbs5 ft10NoNoNo3Pro & Farm3,000,000$15,707$0$0$No3,000,000$3,000,000$
Kenny AgostinoBlues (STL)LW291992-04-30 03:56:04Yes199 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Kirby DachBlues (STL)C212001-01-21 01:49:17Yes201 Lbs6 ft4NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Logan ShawBlues (STL)RW291992-10-05 12:38:48Yes204 Lbs6 ft3NoNoNo1Pro & Farm575,000$3,010$0$0$No
Lukas SedlakBlues (STL)C291993-02-25 03:54:42Yes205 Lbs6 ft0NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Maksim SushkoBlues (STL)RW231999-02-10 14:49:46Yes198 Lbs6 ft0NoNoNo3Pro & Farm775,000$4,058$0$0$No775,000$775,000$
Malcolm SubbanBlues (STL)G281993-12-21 12:40:46Yes200 Lbs6 ft2NoNoNo1Pro & Farm900,000$4,712$0$0$No
Matthew HighmoreBlues (STL)C261996-02-27 03:58:58Yes187 Lbs5 ft11NoNoNo2Pro & Farm725,000$3,796$0$0$No725,000$
Maxim LetunovBlues (STL)C261996-02-20 01:46:09Yes185 Lbs6 ft4NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Nicolas DeslauriersBlues (STL)LW311991-02-22 23:11:13No221 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Nicolas RoyBlues (STL)C251997-02-05 11:36:36Yes207 Lbs6 ft4NoNoNo3Pro & Farm800,000$4,188$0$0$No800,000$800,000$
Nolan FooteBlues (STL)LW212000-11-29 14:53:20Yes201 Lbs6 ft4NoNoNo3Pro & Farm863,333$4,520$0$0$No863,333$863,333$
Paul LaDueBlues (STL)D291992-09-06 08:46:42Yes200 Lbs6 ft2NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Tomas HykaBlues (STL)RW291993-03-23 13:27:01Yes160 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
Tomas KundratekBlues (STL)D321989-12-26 11:11:13Yes207 Lbs6 ft2NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Xavier OuelletBlues (STL)D281993-07-29 11:11:13Yes195 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$10,471$0$0$No2,000,000$
Yakov TreninBlues (STL)RW251997-01-13 01:40:29Yes201 Lbs6 ft2NoNoNo2Pro & Farm730,833$3,826$0$0$No730,833$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3327.24196 Lbs6 ft12.09844,524$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake CaggiulaAustin CzarnikJustin Fontaine35122
2Geoff PlattKirby DachTomas Hyka35122
3Kenny AgostinoNicolas RoyDmytro Timashov25122
4Nolan FooteLukas SedlakYakov Trenin5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourXavier Ouellet35122
2Ian McCoshenTomas Kundratek35122
3Gustav OlofssonPaul LaDue30122
4Brandon MontourXavier Ouellet0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake CaggiulaAustin CzarnikJustin Fontaine60122
2Geoff PlattKirby DachTomas Hyka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourXavier Ouellet60122
2Ian McCoshenTomas Kundratek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin FontaineAustin Czarnik60122
2Drake CaggiulaKirby Dach40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourXavier Ouellet60122
2Ian McCoshenTomas Kundratek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Fontaine60122Brandon MontourXavier Ouellet60122
2Austin Czarnik40122Ian McCoshenTomas Kundratek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin FontaineAustin Czarnik60122
2Drake CaggiulaKirby Dach40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon MontourXavier Ouellet60122
2Ian McCoshenTomas Kundratek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake CaggiulaAustin CzarnikJustin FontaineBrandon MontourXavier Ouellet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake CaggiulaAustin CzarnikJustin FontaineBrandon MontourXavier Ouellet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Roy, Dmytro Timashov, Yakov TreninNicolas Roy, Dmytro TimashovYakov Trenin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gustav Olofsson, Paul LaDue, Ian McCoshenGustav OlofssonPaul LaDue, Ian McCoshen
Tirs de pénalité
Justin Fontaine, Austin Czarnik, Drake Caggiula, Kirby Dach, Tomas Hyka
Gardien
#1 : Malcolm Subban, #2 : Eric Comrie
Lignes d’attaque personnalisées en prolongation
Justin Fontaine, Austin Czarnik, Drake Caggiula, Kirby Dach, Tomas Hyka, Geoff Platt, Geoff Platt, Nicolas Roy, Dmytro Timashov, Yakov Trenin, Lukas Sedlak
Lignes de défense personnalisées en prolongation
Brandon Montour, Xavier Ouellet, Ian McCoshen, Tomas Kundratek, Gustav Olofsson


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
1Avalanche6320010024195321000001275311001001212070.583243963006286861519182285486258181647915628932.14%27485.19%11013198651.01%955195348.90%566119747.28%1778103217827361422706
2Blackhawks621002011617-13200010010823010010169-370.583162743006286861518982285486258181546415733824.24%27196.30%01013198651.01%955195348.90%566119747.28%1778103217827361422706
3Bruins20200000810-21010000034-11010000056-100.0008132100628686155682285486258632014423133.33%7185.71%01013198651.01%955195348.90%566119747.28%1778103217827361422706
4Canadiens3020001069-31010000035-22010001034-120.3336101600628686158782285486258105361261300.00%6183.33%01013198651.01%955195348.90%566119747.28%1778103217827361422706
5Canucks413000001016-62020000026-421100000810-220.250101828006286861512482285486258139383910310110.00%17570.59%01013198651.01%955195348.90%566119747.28%1778103217827361422706
6Capitals2010000157-21010000034-11000000123-110.2505712006286861564822854862588412850200.00%40100.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
7Devils2020000058-31010000023-11010000035-200.00059140062868615648228548625863191139400.00%30100.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
8Ducks5120011017143301001101011-12110000073450.500172744006286861514282285486258182604412312325.00%17476.47%01013198651.01%955195348.90%566119747.28%1778103217827361422706
9Flames422000001192211000006422110000055040.50011182900628686151228228548625811741358712325.00%10190.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
10Flyers21000100770110000003211000010045-130.75071421006286861558822854862587123641300.00%3166.67%01013198651.01%955195348.90%566119747.28%1778103217827361422706
11Islanders2020000058-31010000023-11010000035-200.0005101500628686156482285486258772310323133.33%5180.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
12Kings41101001990210000017612010100023-150.625915240062868615142822854862581213330931119.09%150100.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
13Maple Leafs2110000045-11010000013-21100000032120.50048120062868615678228548625862248395120.00%40100.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
14Oilers4210001014122210000109722110000055060.750142438006286861513982285486258125442810912325.00%14285.71%01013198651.01%955195348.90%566119747.28%1778103217827361422706
15Penguins3010000269-31010000023-12000000246-220.333611170062868615918228548625811137883300.00%4175.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
16Predators6410001022139320000101266321000001073100.8332237590062868615185822854862581866810015225520.00%35294.29%11013198651.01%955195348.90%566119747.28%1778103217827361422706
17Rangers2110000089-11010000047-31100000042220.5008132100628686155582285486258712210405120.00%5260.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
18Red Wings21100000770110000006421010000013-220.50071320006286861552822854862586719453100.00%20100.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
19Sabres302000101017-720100010710-31010000037-420.333101525006286861510982285486258108362467400.00%2150.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
20Senateurs2110000056-11010000035-21100000021120.50058130062868615628228548625884232256300.00%6183.33%01013198651.01%955195348.90%566119747.28%1778103217827361422706
21Sharks413000001117-620200000210-82110000097220.250111829006286861512782285486258108523011812325.00%10280.00%01013198651.01%955195348.90%566119747.28%1778103217827361422706
22Stars623001001518-33120000078-131100100810-250.417152338006286861519082285486258199689415231825.81%33293.94%01013198651.01%955195348.90%566119747.28%1778103217827361422706
23Wild614010001620-430300000614-831101000106440.333162642006286861517782285486258173526215018316.67%30583.33%11013198651.01%955195348.90%566119747.28%1778103217827361422706
Total82253902655241266-2541122200241122140-1841131702414119126-7750.4572414036440062868615255782285486258267886874220032435120.99%2863787.06%31013198651.01%955195348.90%566119747.28%1778103217827361422706
_Since Last GM Reset82253902655241266-2541122200241122140-1841131702414119126-7750.4572414036440062868615255782285486258267886874220032435120.99%2863787.06%31013198651.01%955195348.90%566119747.28%1778103217827361422706
_Vs Conference552023025321651641281012002318387-42710110230182775570.5181652724370062868615172882285486258171257460514002044723.04%2352888.09%31013198651.01%955195348.90%566119747.28%1778103217827361422706
_Vs Division30121101411938761576001104743415550130146442330.550931522450062868615932822854862589203063997671353324.44%1521490.79%31013198651.01%955195348.90%566119747.28%1778103217827361422706

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8275W324140364425572678868742200300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8225392655241266
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112220241122140
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113172414119126
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2435120.99%2863787.06%3
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
8228548625862868615
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
1013198651.01%955195348.90%566119747.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1778103217827361422706


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 - 2021-10-154Blues2Predators4ALSommaire du match
3 - 2021-10-1714Blues4Avalanche5ALR5Sommaire du match
6 - 2021-10-2023Ducks6Blues5BLXSommaire du match
9 - 2021-10-2341Kings4Blues3BLXXR2Sommaire du match
12 - 2021-10-2657Stars1Blues2BWSommaire du match
14 - 2021-10-2867Blues1Stars3ALSommaire du match
16 - 2021-10-3078Avalanche2Blues5BWR5Sommaire du match
17 - 2021-10-3182Blues1Blackhawks2ALSommaire du match
21 - 2021-11-04103Wild4Blues2BLR5Sommaire du match
26 - 2021-11-09124Predators4Blues5BWXXSommaire du match
28 - 2021-11-11133Blues5Wild1AWR5Sommaire du match
30 - 2021-11-13147Blackhawks1Blues3BWSommaire du match
34 - 2021-11-17165Blues4Predators2AWSommaire du match
36 - 2021-11-19174Oilers3Blues4BWSommaire du match
39 - 2021-11-22186Blues6Ducks1AWR2Sommaire du match
41 - 2021-11-24197Devils3Blues2BLSommaire du match
43 - 2021-11-26211Blues3Devils5ALSommaire du match
45 - 2021-11-28219Blues3Sabres7ALSommaire du match
47 - 2021-11-30229Islanders3Blues2BLSommaire du match
49 - 2021-12-02239Blues4Flyers5ALXSommaire du match
51 - 2021-12-04250Ducks3Blues4BWXXR2Sommaire du match
54 - 2021-12-07268Rangers7Blues4BLSommaire du match
56 - 2021-12-09280Blues2Capitals3ALXXSommaire du match
58 - 2021-12-11292Canadiens5Blues3BLSommaire du match
62 - 2021-12-15313Penguins3Blues2BLSommaire du match
65 - 2021-12-18329Blues3Penguins4ALXXSommaire du match
66 - 2021-12-19337Flames3Blues2BLR2Sommaire du match
69 - 2021-12-22347Blues3Sharks4ALR2Sommaire du match
71 - 2021-12-24356Blues0Kings2ALSommaire du match
73 - 2021-12-26365Maple Leafs3Blues1BLSommaire du match
76 - 2021-12-29383Blues4Predators1AWSommaire du match
77 - 2021-12-30391Senateurs5Blues3BLSommaire du match
80 - 2022-01-02406Blues5Bruins6ALSommaire du match
82 - 2022-01-04413Ducks2Blues1BLR2Sommaire du match
84 - 2022-01-06427Blues2Canucks6ALR2Sommaire du match
87 - 2022-01-09436Wild6Blues1BLSommaire du match
89 - 2022-01-11451Blues4Wild3AWXR5Sommaire du match
91 - 2022-01-13461Capitals4Blues3BLSommaire du match
93 - 2022-01-15474Blues1Ducks2ALR2Sommaire du match
95 - 2022-01-17486Oilers4Blues5BWXXSommaire du match
98 - 2022-01-20500Blues3Avalanche4ALXR5Sommaire du match
99 - 2022-01-21509Wild4Blues3BLSommaire du match
104 - 2022-01-26531Blues3Maple Leafs2AWSommaire du match
105 - 2022-01-27538Red Wings4Blues6BWSommaire du match
107 - 2022-01-29554Sabres6Blues2BLSommaire du match
109 - 2022-01-31567Blues1Wild2ALR5Sommaire du match
112 - 2022-02-03579Sabres4Blues5BWXXSommaire du match
114 - 2022-02-05592Blues6Canucks4AWR2Sommaire du match
115 - 2022-02-06600Blues2Blackhawks3ALXXSommaire du match
117 - 2022-02-08608Flames1Blues4BWR2Sommaire du match
120 - 2022-02-11625Blues3Blackhawks4ALXSommaire du match
122 - 2022-02-13632Flyers2Blues3BWSommaire du match
124 - 2022-02-15649Canucks3Blues1BLR2Sommaire du match
126 - 2022-02-17658Blues2Senateurs1AWSommaire du match
128 - 2022-02-19673Kings2Blues4BWR2Sommaire du match
130 - 2022-02-21679Blues3Islanders5ALSommaire du match
133 - 2022-02-24699Canucks3Blues1BLR2Sommaire du match
134 - 2022-02-25707Blues1Red Wings3ALSommaire du match
137 - 2022-02-28722Stars4Blues3BLSommaire du match
138 - 2022-03-01729Blues6Sharks3AWR2Sommaire du match
141 - 2022-03-04743Blues2Kings1AWXSommaire du match
142 - 2022-03-05748Bruins4Blues3BLSommaire du match
144 - 2022-03-07761Blues5Avalanche3AWR5Sommaire du match
145 - 2022-03-08771Blues2Oilers3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2022-03-11779Blues4Flames2AWR2Sommaire du match
149 - 2022-03-12785Stars3Blues2BLSommaire du match
152 - 2022-03-15802Avalanche1Blues4BWR5Sommaire du match
154 - 2022-03-17815Blues1Penguins2ALXXSommaire du match
156 - 2022-03-19822Blues1Flames3ALR2Sommaire du match
158 - 2022-03-21834Blackhawks5Blues4BLXSommaire du match
160 - 2022-03-23844Blues3Oilers2AWSommaire du match
162 - 2022-03-25856Blues4Rangers2AWSommaire du match
163 - 2022-03-26861Blackhawks2Blues3BWSommaire du match
168 - 2022-03-31881Avalanche4Blues3BLR5Sommaire du match
170 - 2022-04-02897Sharks4Blues2BLR2Sommaire du match
174 - 2022-04-06914Blues3Stars4ALXSommaire du match
176 - 2022-04-08923Sharks6Blues0BLR2Sommaire du match
178 - 2022-04-10939Predators1Blues4BWSommaire du match
179 - 2022-04-11942Blues1Canadiens3ALSommaire du match
180 - 2022-04-12945Blues4Stars3AWSommaire du match
185 - 2022-04-17964Blues2Canadiens1AWXXSommaire du match
189 - 2022-04-21976Predators1Blues3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance76,87037,794
Assistance PCT93.74%92.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2797 - 93.22% 119,699$4,907,652$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,485,389$ 2,786,928$ 1,706,927$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,591$ 2,689,510$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 18,780$ 18,780$




Blues 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
1Austin Czarnik24282138220-3017142955267712.11%126487520.15305282921011815749.86%10.90927
2Tomas Hyka24610099199-2613634527881712.24%98421017.1220193975000210333.33%20.9506
3Drake Caggiula23674103177-269854737758312.69%137474320.10274269103437168639.06%00.75628
4Kirby Dach2467297169-244726546056912.65%95430017.4813102358022105949.68%10.79814
5Brandon Montour2274012616622074564864958.08%329538223.711428427201111520.00%20.6200

Blues 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
1Malcolm Subban1756869220.9033.10971438050151422329720.62353
2Alex Stalock58232480.8903.643102021881706743210.72025
3Eric Comrie44102020.8893.762109001321184592400.68832

Blues 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
Saison régulière
1282294103441306336-3041152000231153162-941142103210153174-21583065058113087112100113030954105010074029731024104120963466719.36%2966877.03%41110227948.71%1014208748.59%687142448.24%173798517927581425710
1582313504426295308-1341161704004154158-441151800422141150-9842954977923285112929268686895084260267984081821912735821.25%2886577.43%81053205151.34%901196045.97%658130850.31%1769105118377201367685
1682253902655241266-2541122200241122140-1841131702414119126-7752414036440062868615255782285486258267886874220032435120.99%2863787.06%31013198651.01%955195348.90%566119747.28%1778103217827361422706
1682253902655241266-2541122200241122140-1841131702414119126-7752414036440062868615255782285486258267886874220032435120.99%2863787.06%31013198651.01%955195348.90%566119747.28%1778103217827361422706
Total Saison régulière32811015401120161710831176-931645581046117551600-4916455730714510532576-4429210831808289162296396364501083034663708357321611008360033438293110522720.54%115620782.09%184189830250.46%3825795348.10%2477512648.32%706541027195295256382808

Blues 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

Blues 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