Blackhawks
GP: 16 | W: 8 | L: 8
GF: 50 | GA: 52 | PP%: 21.54% | PK%: 82.76%
DG: Libre | Morale : 68 | Moyenne d’équipe : 69
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Centre de jeu
Blackhawks
8-8-0, 16pts
3
FINAL
4 Ducks
14-6-0, 28pts
Team Stats
L3StreakL3
2-6-0Home Record7-3-0
6-2-0Away Record7-3-0
4-4-2Last 10 Games6-4-0
3.13Goals Per Game3.80
3.25Goals Against Per Game2.85
21.54%Power Play Percentage22.54%
82.76%Penalty Kill Percentage90.38%
Blackhawks
8-8-0, 16pts
2
FINAL
6 Ducks
14-6-0, 28pts
Team Stats
L3StreakL3
2-6-0Home Record7-3-0
6-2-0Away Record7-3-0
4-4-2Last 10 Games6-4-0
3.13Goals Per Game3.80
3.25Goals Against Per Game2.85
21.54%Power Play Percentage22.54%
82.76%Penalty Kill Percentage90.38%
Meneurs d'équipe
Victoires
Charlie Lindgren
5
Pourcentage d’arrêts
Adin Hill
0.917

Statistiques d’équipe
Buts pour
50
3.13 GFG
Tirs pour
528
33.00 Avg
Pourcentage en avantage numérique
21.5%
14 GF
Début de zone offensive
38.6%
Buts contre
52
3.25 GAA
Tirs contre
535
33.44 Avg
Pourcentage en désavantage numérique
82.8%
10 GA
Début de la zone défensive
38.3%
Information d’équipe

Directeur généralLibre
EntraîneurJohn Torchetti
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison1,800


Information formation

Équipe Pro35
Équipe Mineure18
Limite contact 53 / 60
Espoirs38


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
1Chris Terry (R)X100.0043249970734963995392848468867532717503221,250,000$
2Tyler Pitlick (R)X100.008542906580838682567776806378686274730291800,000$
3Jimmy Vesey (R)X100.006748877084748575537878856873695672730283900,000$
4Mark Jankowski (R)X100.006035757084789278857667926571667973730263900,000$
5Andrei LoktionovX100.002923996571828191708981517178753269710313700,000$
6Jordan Greenway (R)X100.007353776997818874597467726965647175700242916,666$
7Pierre-Edouard Bellemare (R)X100.006543906274738768836965946185752573700362700,000$
8Nikolay Goldobin (R)X100.005835787073817677507869736457547672690252575,000$
9Michael Rasmussen (R)X100.007141716692767873697270685268548572680222894,166$
10Drake Batherson (R)X100.006648876885807973637164686663655973670232763,333$
11Brendan Gaunce (R)X100.006648876384747369726766806371667673670272575,000$
12Klim Kostin (R)X100.007253836586797873737066686562677872670223863,333$
13Ryan Stanton (R)X100.0078388866766671884581847976827823557303131,250,000$
14MacKenzie Weegar (R)X100.008461706674837972307970835471675274720271675,000$
15Matt IrwinX100.0077476964766370803078748162868128677103311,000,000$
16Radim Simek (R)X100.008339876572817671307759795075653657700282675,000$
17Tucker Poolman (R)X100.005939876280836768307561705073684916660283775,000$
18Joe Hicketts (R)X100.005545886364857469306760725367635445650251635,000$
Rayé
1Ryan WhiteX100.008068736874738073925858706986873121660331800,000$
2Luke Johnson (R)X100.005639876168767269746662706271665819640262700,000$
3Vinni Lettieri (R)X100.005835706871646372707167715453524221640261925,000$
4Jack Studnicka (R)X100.005843896372797469736664666261637121640223769,167$
5Vitaly Abramov (R)X100.005643896366757469546664656563626820630232730,833$
6Nathan Walker (R)X100.005643876367757269546664656371665921630271650,000$
7Evgeny Svechnikov (R)X100.006549846085747264526462675967648121630243575,000$
8Anthony Richard (R)X100.005541906063798166536463645967645720620242671,667$
9Alexandre Fortin (R)X100.005535736372546265575956665552514320580242706,666$
10Andrej SustrX94.386635697082728071257259855086814155720301900,000$
11Nikita Tryamkin (R)X100.009769506485727761255550775565657420680262600,000$
12Seth Helgeson (R)X100.006045716280626676255148795572655320650301575,000$
13John Gilmour (R)X100.005942886172827767306562655573675420640281575,000$
MOYENNE D’ÉQUIPE99.81654482657774767354716674617167554868
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
1Charlie Lindgren (R)100.00808397788699928990795181713574840
2Adin Hill (R)100.00807573968181838381807667716469790
Rayé
1Alex Nedeljkovic (R)100.00817573758281828284797567717420770
2Jonas Johansson (R)100.00796361937882848382797869736421770
MOYENNE D’ÉQUIPE100.0080747686828685848479707172594679
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Torchetti48615462906563USA551550,000$


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
1Andrei LoktionovBlackhawks (CHI)C167121920052249232514.29%625215.79448742000012046.22%23820001.5000000310
2Chris TerryBlackhawks (CHI)LW1671219-720153141163317.07%732520.351788560000481131.90%116122001.1700000030
3Jimmy VeseyBlackhawks (CHI)LW1671118040352645243015.56%1028117.603475440001220140.00%2043001.2800000101
4Ryan StantonBlackhawks (CHI)D1611415-1003727479162.13%2339124.47167863000255000.00%01214000.7700000212
5Mark JankowskiBlackhawks (CHI)C165510-716039363772313.51%631419.6940416580001362055.24%38247000.6300000100
6Tyler PitlickBlackhawks (CHI)RW16459-82022174917288.16%830619.1711214580003280032.00%2584100.5900000001
7Pierre-Edouard BellemareBlackhawks (CHI)RW1645915534191231333.33%725415.89022043000001046.67%1514000.7100010012
8Nikolay GoldobinBlackhawks (CHI)LW16549380181944182511.36%624615.38000120001141046.15%1362000.7300000001
9Jordan GreenwayBlackhawks (CHI)RW16437115538224420289.09%623514.7200005000001032.00%2543000.5900100000
10MacKenzie WeegarBlackhawks (CHI)D16246-13155045251078.00%2036923.11011164000040000.00%0412000.3200001000
11Matt IrwinBlackhawks (CHI)D16044-63715412618750.00%2332320.23000039000023000.00%0614000.2500102010
12Drake BathersonBlackhawks (CHI)RW16033-200810142160.00%31177.330000000000000.00%340000.5100000000
13Michael RasmussenBlackhawks (CHI)C160333201026313311170.00%824515.32000000000180044.26%23564000.2400200000
14Klim KostinBlackhawks (CHI)LW16123-2201113239114.35%11207.5500000000020050.00%214000.5000000000
15Brendan GaunceBlackhawks (CHI)C16202-20061693522.22%51157.2200000000000047.06%5102000.3500000000
16Radim SimekBlackhawks (CHI)D16112-300222814547.14%1726916.860000900009000.00%029000.1500000000
17Joe HickettsBlackhawks (CHI)D1601106071413520.00%1927817.3900000000022000.00%013000.0700000000
18Andrej SustrBlackhawks (CHI)D11011-111515207040.00%1023121.01000131000025000.00%054000.0900001001
19Luke JohnsonBlackhawks (CHI)C1000000000000.00%000.220000000000000.00%000000.0000000000
20Tucker PoolmanBlackhawks (CHI)D5000000244100.00%48416.870000000000000.00%001000.0000000000
Statistiques d’équipe totales ou en moyenne2895090140-30159454314265281902929.47%189476416.491425396152100083508246.58%11258292100.5900414778
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
1Charlie LindgrenBlackhawks (CHI)145620.8993.457480043427167000.0000142010
2Adin HillBlackhawks (CHI)53000.9172.4322220910849200.0000214000
Statistiques d’équipe totales ou en moyenne198620.9033.229702052535216200.00001616010


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
Adin HillBlackhawks (CHI)G251996-05-11 04:47:09Yes202 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$No
Alex NedeljkovicBlackhawks (CHI)G251996-01-07 03:29:30Yes189 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Alexandre FortinBlackhawks (CHI)LW241997-02-25 03:48:15Yes184 Lbs6 ft0NoNoNo2Pro & Farm706,666$0$0$No706,666$
Andrei LoktionovBlackhawks (CHI)C311990-05-30 11:11:13No188 Lbs5 ft10NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Andrej Sustr (sur la masse salariale)Blackhawks (CHI)D301990-11-29 17:11:13No220 Lbs6 ft8NoNoNo1Pro & Farm900,000$0$0$No
Anthony RichardBlackhawks (CHI)C241996-12-20 05:54:15Yes163 Lbs5 ft10NoNoNo2Pro & Farm671,667$0$0$No671,667$
Brendan GaunceBlackhawks (CHI)C271994-03-25 17:11:13Yes217 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Charlie LindgrenBlackhawks (CHI)G271993-12-18 06:39:26Yes185 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Chris TerryBlackhawks (CHI)LW321989-04-07 11:11:13Yes203 Lbs5 ft10NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Drake BathersonBlackhawks (CHI)RW231998-04-27 05:56:24Yes187 Lbs6 ft3NoNoNo2Pro & Farm763,333$0$0$No763,333$
Evgeny SvechnikovBlackhawks (CHI)LW241996-10-31 03:35:20Yes212 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Jack StudnickaBlackhawks (CHI)C221999-02-18 01:10:12Yes172 Lbs6 ft1NoNoNo3Pro & Farm769,167$0$0$No769,167$769,167$
Jimmy VeseyBlackhawks (CHI)LW281993-05-26 03:37:16Yes199 Lbs6 ft3NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Joe HickettsBlackhawks (CHI)D251996-05-04 06:37:59Yes180 Lbs5 ft8NoNoNo1Pro & Farm635,000$0$0$No
John GilmourBlackhawks (CHI)D281993-05-17 05:58:32Yes190 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
Jonas JohanssonBlackhawks (CHI)G251995-09-19 10:58:03Yes220 Lbs6 ft5NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Jordan GreenwayBlackhawks (CHI)RW241997-02-16 06:02:05Yes227 Lbs6 ft6NoNoNo2Pro & Farm916,666$0$0$No916,666$
Klim KostinBlackhawks (CHI)LW221999-05-05 01:15:14Yes75 Lbs1 ft9NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Luke JohnsonBlackhawks (CHI)C261994-09-19 07:58:28Yes179 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$
MacKenzie WeegarBlackhawks (CHI)D271994-01-07 06:33:09Yes200 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$No
Mark JankowskiBlackhawks (CHI)C261994-09-13 03:41:29Yes212 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Matt IrwinBlackhawks (CHI)D331987-11-29 23:11:13No207 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$No
Michael RasmussenBlackhawks (CHI)C221999-04-17 05:58:39Yes221 Lbs6 ft6NoNoNo2Pro & Farm894,166$0$0$No894,166$
Nathan WalkerBlackhawks (CHI)LW271994-02-07 04:43:18Yes186 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$No
Nikita TryamkinBlackhawks (CHI)D261994-08-30 17:11:13Yes243 Lbs6 ft8NoNoNo2Pro & Farm600,000$0$0$No600,000$
Nikolay GoldobinBlackhawks (CHI)LW251995-10-07 23:11:13Yes196 Lbs5 ft11NoNoNo2Pro & Farm575,000$0$0$No575,000$
Pierre-Edouard BellemareBlackhawks (CHI)RW361985-03-06 11:11:13Yes198 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$
Radim SimekBlackhawks (CHI)D281992-09-20 04:08:57Yes200 Lbs5 ft11NoNoNo2Pro & Farm675,000$0$0$No675,000$
Ryan StantonBlackhawks (CHI)D311989-07-20 11:11:13Yes202 Lbs6 ft2NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$
Ryan WhiteBlackhawks (CHI)RW331988-03-17 05:11:13No199 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Seth HelgesonBlackhawks (CHI)D301990-10-08 17:11:13Yes223 Lbs6 ft5NoNoNo1Pro & Farm575,000$0$0$No
Tucker PoolmanBlackhawks (CHI)D281993-06-08 12:09:14Yes216 Lbs6 ft4NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$
Tyler PitlickBlackhawks (CHI)RW291991-11-01 23:11:13Yes200 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Vinni LettieriBlackhawks (CHI)C261995-02-06 06:42:45Yes191 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
Vitaly AbramovBlackhawks (CHI)RW231998-05-08 05:50:13Yes171 Lbs5 ft9NoNoNo2Pro & Farm730,833$0$0$No730,833$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3526.91196 Lbs6 ft01.97777,881$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryMark JankowskiTyler Pitlick30122
2Jimmy VeseyAndrei LoktionovPierre-Edouard Bellemare30122
3Nikolay GoldobinMichael RasmussenJordan Greenway30122
4Klim KostinBrendan GaunceDrake Batherson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonMacKenzie Weegar34122
2Matt IrwinRadim Simek34122
3Tucker PoolmanJoe Hicketts32122
4Ryan StantonMacKenzie Weegar0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryMark JankowskiTyler Pitlick60122
2Jimmy VeseyAndrei LoktionovPierre-Edouard Bellemare40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonMacKenzie Weegar60122
2Matt IrwinRadim Simek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryTyler Pitlick60122
2Mark JankowskiJimmy Vesey40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonMacKenzie Weegar60122
2Matt IrwinRadim Simek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Terry60122Ryan StantonMacKenzie Weegar60122
2Tyler Pitlick40122Matt IrwinRadim Simek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryTyler Pitlick60122
2Mark JankowskiJimmy Vesey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonMacKenzie Weegar60122
2Matt IrwinRadim Simek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryMark JankowskiTyler PitlickRyan StantonMacKenzie Weegar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryMark JankowskiTyler PitlickRyan StantonMacKenzie Weegar
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Greenway, Nikolay Goldobin, Klim KostinJordan Greenway, Nikolay GoldobinKlim Kostin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Joe Hicketts, Matt IrwinTucker PoolmanJoe Hicketts, Matt Irwin
Tirs de pénalité
Chris Terry, Tyler Pitlick, Mark Jankowski, Jimmy Vesey, Andrei Loktionov
Gardien
#1 : Charlie Lindgren, #2 : Adin Hill
Lignes d’attaque personnalisées en prolongation
Chris Terry, Tyler Pitlick, Mark Jankowski, Jimmy Vesey, Andrei Loktionov, Pierre-Edouard Bellemare, Pierre-Edouard Bellemare, Jordan Greenway, Nikolay Goldobin, Klim Kostin, Michael Rasmussen
Lignes de défense personnalisées en prolongation
Ryan Stanton, MacKenzie Weegar, Matt Irwin, Radim Simek, Tucker Poolman


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
1Avalanche642000002021-131200000712-533000000139480.6672035550014211502031431772044194789317629517.24%29775.86%022043450.69%17543140.60%12926049.62%341195353149276138
2Ducks40400000816-82020000036-320200000510-500.00081523001421150122143177204413547261199111.11%8187.50%022043450.69%17543140.60%12926049.62%341195353149276138
3Flames64200000221573120000099033000000136780.6672240620014211502031431772044206644213627829.63%21290.48%022043450.69%17543140.60%12926049.62%341195353149276138
Total1688000005052-2826000001927-88620000031256160.50050901400014211505281431772044535189161431651421.54%581082.76%022043450.69%17543140.60%12926049.62%341195353149276138
_Since Last GM Reset1688000005052-2826000001927-88620000031256160.50050901400014211505281431772044535189161431651421.54%581082.76%022043450.69%17543140.60%12926049.62%341195353149276138
_Vs Conference1688000005052-2826000001927-88620000031256160.50050901400014211505281431772044535189161431651421.54%581082.76%022043450.69%17543140.60%12926049.62%341195353149276138
_Vs Division642000002021-131200000712-533000000139480.6672035550014211502031431772044194789317629517.24%29775.86%022043450.69%17543140.60%12926049.62%341195353149276138

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1616L3509014052853518916143100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
168800005052
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82600001927
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200003125
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
651421.54%581082.76%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
14317720441421150
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
22043450.69%17543140.60%12926049.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
341195353149276138


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 - 2020-12-186Avalanche7Blackhawks1LR5Sommaire du match
4 - 2020-12-2014Avalanche2Blackhawks1LSommaire du match
6 - 2020-12-2222Blackhawks4Avalanche3WR5Sommaire du match
8 - 2020-12-2430Blackhawks5Avalanche4WSommaire du match
10 - 2020-12-2638Avalanche3Blackhawks5WR5Sommaire du match
12 - 2020-12-2846Blackhawks4Avalanche2WSommaire du match
16 - 2021-01-0159Flames2Blackhawks4WR2Sommaire du match
18 - 2021-01-0363Flames4Blackhawks3LXSommaire du match
20 - 2021-01-0567Blackhawks4Flames2WR2Sommaire du match
22 - 2021-01-0771Blackhawks4Flames2WSommaire du match
24 - 2021-01-0975Flames3Blackhawks2LR2Sommaire du match
26 - 2021-01-1179Blackhawks5Flames2WSommaire du match
30 - 2021-01-1586Ducks3Blackhawks2LXR2Sommaire du match
32 - 2021-01-1788Ducks3Blackhawks1LSommaire du match
34 - 2021-01-1990Blackhawks3Ducks4LR2Sommaire du match
36 - 2021-01-2192Blackhawks2Ducks6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance16,0008,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 3000 - 100.00% 128,250$1,026,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,632,584$ 1,767,584$ 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$




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