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Avalanche
GP: 82 | W: 46 | L: 29 | OTL: 7 | P: 99
GF: 256 | GA: 218 | PP%: 19.67% | PK%: 81.20%
DG: Bernard Martel | Morale : 73 | Moyenne d’équipe : 68
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Centre de jeu
Avalanche
46-29-7, 99pts
1
FINAL
2 Sabres
44-29-9, 97pts
Team Stats
W1StreakW2
20-16-5Home Record21-15-5
26-13-2Away Record23-14-4
4-5-1Last 10 Games6-4-0
3.12Buts par match 3.16
2.66Buts contre par match 3.05
19.67%Pourcentage en avantage numérique17.54%
81.20%Pourcentage en désavantage numérique85.20%
Sharks
52-22-8, 112pts
3
FINAL
4 Avalanche
46-29-7, 99pts
Team Stats
SOL1StreakW1
25-12-4Home Record20-16-5
27-10-4Away Record26-13-2
7-1-2Last 10 Games4-5-1
3.41Buts par match 3.12
2.85Buts contre par match 2.66
22.36%Pourcentage en avantage numérique19.67%
81.50%Pourcentage en désavantage numérique81.20%
Meneurs d'équipe
Buts
Nikita Gusev
41
Passes
Sean Kuraly
44
Points
Nikita Gusev
81
Plus/Moins
Calle Rosen
37
Victoires
Anders Lindback
32
Pourcentage d’arrêts
Anthony Stolarz
0.917

Statistiques d’équipe
Buts pour
256
3.12 GFG
Tirs pour
2603
31.74 Avg
Pourcentage en avantage numérique
19.7%
47 GF
Début de zone offensive
38.2%
Buts contre
218
2.66 GAA
Tirs contre
2454
29.93 Avg
Pourcentage en désavantage numérique
81.2%%
47 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralBernard Martel
EntraîneurKirk Muller
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,760
Billets de saison1,800


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs29


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
1Sean Kuraly (R)X100.007846877083678673908581816382766977740301800,000$
2Jacob De La Rose (R)X100.0099635661796170868485837654796668667302721,500,000$
3Dominik Kahun (R)X100.0040269973708586786979707872767436817102731,000,000$
4Joseph Blandisi (R)X100.0072616666727079777083767158797548827102821,500,000$
5Michael Amadio (R)X100.007342947283637168787469672573705781670262700,000$
6Joakim Nygard (R)X100.005128987071788473527269566478713381670301600,000$
7Owen Tippett (R)X100.007744957683597367557671622549496675660242600,000$
8Evgeny Svechnikov (R)X100.007244857182616465347469622574707558650261575,000$
9Yegor Korshkov (R)X100.006039966979707566546163665972697362640261925,000$
10Mitchell Stephens (R)X100.007469487084616957807366595871687078640261833,333$
11Mason Marchment (R)X100.007646846883676064397569572577736022640272800,000$
12Jordan Szwarz (R)X100.005238946474747965676360656288784825630312575,000$
13Vladislav Gavrikov (R)X99.987445917182789266258369792576736370730271925,000$
14Philip Samuelsson (R)X100.0096984465757382882558657562818940827203121,250,000$
15Jacob Bryson (R)X100.007142897182777966257569762570676078700252889,166$
16Calle Rosen (R)X100.007269787069807771307266685475704881680292700,000$
17Zach Whitecloud (R)X100.007445866883748070257469742553546031680261725,000$
18Victor Antipin (R)X100.004327997170687181307671735275643271670301700,000$
Rayé
1Nikita Gusev (R)X96.4443289772708285875389776878858237707403033,000,000$
2Adam CracknellX100.006034696477295177857270666992861849650373575,000$
3Steven Fogarty (R)X100.007642757184596660607468692547486119630301575,000$
4Matt Luff (R)X39.437342887183565761377368722552515813630263575,000$
5Joel Kellman (R)X100.006330976673657263776462666377723320630281750,000$
6T.J. Tynan (R)X100.006658866258666669806555666482746519620313575,000$
7Brett Seney (R)X100.006356797766677154686054646372695820610273575,000$
8Connor Dewar (R)X100.007265876565666763794040636244446520550233800,000$
9Brayden Tracey (R)X100.007265897165323044553535584244445019470213863,333$
10Jacob MacDonald (R)X100.007444917283656970257470737556565724670301725,000$
11Dakota Mermis (R)X100.007342837382735569247369697955556026660291700,000$
MOYENNE D’ÉQUIPE97.72694884697666716954716668517067545266
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
1Anders Lindback100.007475928283999999998585999935808703512,500,000$
2Anthony Stolarz (R)100.008286839586919493918281778158828602911,250,000$
Rayé
1Matt Hackett (R)100.008173727576898991917879898936208103311,750,000$
MOYENNE D’ÉQUIPE100.0079788284829394949482828890436185
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller68828266867871CAN551800,000$


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
1Nikita GusevAvalanche (COL)RW80414081940871443399318912.09%34164420.5512112343198202111989439.27%2475718100.9947000944
2Sean KuralyAvalanche (COL)C713244761324101562362055410615.61%30147620.791014243119300051866258.43%17732832001.03360116104
3Jacob De La RoseAvalanche (COL)C752634606151552311832267216311.50%43141018.8146101615802261113053.48%14533415000.8504416456
4Joseph BlandisiAvalanche (COL)LW822634603128501931292366913811.02%28146717.8961016271781016424254.65%864019010.8212613174
5Dominik KahunAvalanche (COL)LW742334572440681162265511110.18%39145719.70511162518700031122152.08%963218000.7823000345
6Joakim NygardAvalanche (COL)LW8223204360044812206211210.45%22106913.04011227000023237.50%643519000.8001000214
7Michael AmadioAvalanche (COL)C8216233911241012612316346989.82%30114513.981016370001273052.49%8652920000.6801002124
8Owen TippettAvalanche (COL)RW741418325191510786104436713.46%21120216.253259111000193132.94%852520000.5300021304
9Philip SamuelssonAvalanche (COL)D825232862941102831419553415.26%110183722.41358152290111171100.00%02450000.30011516000
10Ty RattieAvalancheRW155192478050275619248.93%931621.112688560000401055.06%89106001.5201000221
11Vladislav GavrikovAvalanche (COL)D6522022-112725951328324322.41%79152723.5011271880002197000.00%03349100.2901131001
12Jacob BrysonAvalanche (COL)D82319223450201011447525464.00%98174621.3002291640111163010.00%02948000.2500111121
13Calle Rosen Avalanche (COL)D81219213776201391226337303.17%63157819.4900011111121102100.00%02038000.2700103101
14Victor AntipinAvalanche (COL)D6131316700161018734313.45%50101416.64000217000037010.00%02931000.3200000000
15Evgeny SvechnikovAvalanche (COL)RW408816680532370214811.43%845211.32011150000201230.43%231011000.7100000021
16Mitchell StephensAvalanche (COL)C5756115240814540142612.50%84938.6601112000002152.89%24285000.4511000010
17Adam CracknellAvalanche (COL)LW47461048041437022385.71%124339.23000030001451156.76%37146000.4611000100
18Steven FogartyAvalanche (COL)C40459112033293491611.76%43037.5900001000010035.35%9933000.5900000020
19Jacob MacDonaldAvalanche (COL)D48268-28048624110144.88%5078016.2700003000147000.00%01314000.2001000100
20Yegor KorshkovAvalanche (COL)RW60527100275345133411.11%2261010.17000014000021042.11%1957000.2301000000
21Zach WhitecloudAvalanche (COL)D46077-412067613519150.00%3995620.80000371000076000.00%0933000.1500000000
22Dakota MermisAvalanche (COL)D2715610140453018385.56%2744216.3800002000025000.00%0217000.2700000000
23Mason MarchmentAvalanche (COL)LW43426-20042285120337.84%83568.28000010001140041.67%12146000.3400000021
24Matt LuffAvalanche (COL)RW3205522012251412130.00%72216.9200001000020033.33%632000.4500000000
25Jordan SzwarzAvalanche (COL)RW39022-2201438255160.00%840410.3700002000000066.67%24114000.1000000000
26Joel KellmanAvalanche (COL)C6011100862020.00%0569.4900000000000052.38%2100000.3501000000
Statistiques d’équipe totales ou en moyenne149125441566917789931521672208262383414519.68%8492440816.3747711182061970459411639411853.33%5241507501210.551232281024354441
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
1Anders LindbackAvalanche (COL)53321630.9102.573039001301444576710.773225227325
2Anthony StolarzAvalanche (COL)34141340.9172.63191540841008431210.600103052331
Statistiques d’équipe totales ou en moyenne87462970.9132.594955402142452100792328279656


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 CracknellAvalanche (COL)LW371985-07-15 11:11:13No209 Lbs6 ft3NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Anders LindbackAvalanche (COL)G351988-05-03 17:11:14No210 Lbs6 ft6NoNoNo1Pro & Farm2,500,000$12,563$0$0$No
Anthony StolarzAvalanche (COL)G291994-01-20 03:19:46Yes229 Lbs6 ft5NoNoNo1Pro & Farm1,250,000$6,281$0$0$No
Brayden TraceyAvalanche (COL)LW212001-05-28 08:57:26Yes176 Lbs6 ft0NoNoNo3Pro & Farm863,333$4,338$0$0$No863,333$863,333$
Brett SeneyAvalanche (COL)C271996-02-28 05:09:31Yes156 Lbs5 ft9NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Calle Rosen Avalanche (COL)D291994-02-02 06:41:47Yes186 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,518$0$0$No700,000$
Connor DewarAvalanche (COL)C231999-06-26 08:59:34Yes183 Lbs5 ft10NoNoNo3Pro & Farm800,000$4,020$0$0$No800,000$800,000$
Dakota MermisAvalanche (COL)D291994-01-05 13:15:47Yes194 Lbs6 ft0NoNoNo1Pro & Farm700,000$3,518$0$0$No
Dominik KahunAvalanche (COL)LW271995-07-02 07:23:49Yes175 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$5,025$0$0$No1,000,000$1,000,000$
Evgeny SvechnikovAvalanche (COL)RW261996-10-31 03:35:20Yes207 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
Jacob BrysonAvalanche (COL)D251997-11-18 04:41:08Yes179 Lbs5 ft9NoNoNo2Pro & Farm889,166$4,468$0$0$No889,166$
Jacob De La RoseAvalanche (COL)C271995-05-20 23:11:13Yes216 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$7,538$0$0$No1,500,000$
Jacob MacDonaldAvalanche (COL)D301993-02-26 05:55:34Yes205 Lbs6 ft0NoNoNo1Pro & Farm725,000$3,643$0$0$No
Joakim NygardAvalanche (COL)LW301993-01-08 14:13:39Yes179 Lbs6 ft0NoNoNo1Pro & Farm600,000$3,015$0$0$No
Joel KellmanAvalanche (COL)C281994-05-25 11:14:12Yes192 Lbs5 ft11NoNoNo1Pro & Farm750,000$3,769$0$0$No
Jordan SzwarzAvalanche (COL)RW311991-05-14 23:11:13Yes201 Lbs5 ft11NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Joseph BlandisiAvalanche (COL)LW281994-07-18 04:31:57Yes187 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$7,538$0$0$No1,500,000$
Mason MarchmentAvalanche (COL)LW271995-06-18 05:04:37Yes209 Lbs6 ft4NoNoNo2Pro & Farm800,000$4,020$0$0$No800,000$
Matt HackettAvalanche (COL)G331990-03-07 17:11:14Yes181 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$8,794$0$0$No
Matt Luff (sur la masse salariale)Avalanche (COL)RW261997-05-05 05:00:14Yes196 Lbs6 ft2NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Michael AmadioAvalanche (COL)C261996-05-13 13:41:42Yes204 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,518$0$0$No700,000$
Mitchell StephensAvalanche (COL)C261997-02-05 03:05:21Yes194 Lbs6 ft0NoNoNo1Pro & Farm833,333$4,188$0$0$No
Nikita GusevAvalanche (COL)RW301992-07-08 06:29:54Yes181 Lbs5 ft11NoNoNo3Pro & Farm3,000,000$15,075$0$0$No3,000,000$3,000,000$
Owen TippettAvalanche (COL)RW241999-02-16 13:39:45Yes200 Lbs6 ft1NoNoNo2Pro & Farm600,000$3,015$0$0$No600,000$
Philip SamuelssonAvalanche (COL)D311991-07-26 23:11:13Yes202 Lbs6 ft2NoNoNo2Pro & Farm1,250,000$6,281$0$0$No1,250,000$
Sean KuralyAvalanche (COL)C301993-01-20 13:23:25Yes213 Lbs6 ft2NoNoNo1Pro & Farm800,000$4,020$0$0$No
Steven FogartyAvalanche (COL)C301993-04-19 13:46:11Yes210 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
T.J. TynanAvalanche (COL)C311992-02-25 03:45:00Yes168 Lbs5 ft8NoNoNo3Pro & Farm575,000$2,889$0$0$No575,000$575,000$
Victor AntipinAvalanche (COL)D301992-12-06 02:24:53Yes175 Lbs5 ft11NoNoNo1Pro & Farm700,000$3,518$0$0$No
Vladislav GavrikovAvalanche (COL)D271995-11-21 13:25:15Yes205 Lbs6 ft3NoNoNo1Pro & Farm925,000$4,648$0$0$No
Yegor KorshkovAvalanche (COL)RW261996-07-10 10:13:34Yes181 Lbs6 ft4NoNoNo1Pro & Farm925,000$4,648$0$0$No
Zach WhitecloudAvalanche (COL)D261996-11-28 06:29:34Yes209 Lbs6 ft2NoNoNo1Pro & Farm725,000$3,643$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.28194 Lbs6 ft11.78962,839$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph BlandisiSean KuralyOwen Tippett35122
2Dominik KahunJacob De La RoseEvgeny Svechnikov35122
3Joakim NygardMichael AmadioYegor Korshkov25122
4Mason MarchmentMitchell StephensJordan Szwarz5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson35122
2Jacob BrysonCalle Rosen 35122
3Zach WhitecloudVictor Antipin30122
4Vladislav GavrikovPhilip Samuelsson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph BlandisiSean KuralyOwen Tippett60122
2Dominik KahunJacob De La RoseEvgeny Svechnikov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson60122
2Jacob BrysonCalle Rosen 40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sean KuralyJacob De La Rose60122
2Joseph BlandisiDominik Kahun40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson60122
2Jacob BrysonCalle Rosen 40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sean Kuraly60122Vladislav GavrikovPhilip Samuelsson60122
2Jacob De La Rose40122Jacob BrysonCalle Rosen 40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean KuralyJacob De La Rose60122
2Joseph BlandisiDominik Kahun40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson60122
2Jacob BrysonCalle Rosen 40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph BlandisiSean KuralyOwen TippettVladislav GavrikovPhilip Samuelsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph BlandisiSean KuralyOwen TippettVladislav GavrikovPhilip Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Amadio, Joakim Nygard, Yegor KorshkovMichael Amadio, Joakim NygardYegor Korshkov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Whitecloud, Victor Antipin, Jacob BrysonZach WhitecloudVictor Antipin, Jacob Bryson
Tirs de pénalité
Sean Kuraly, Jacob De La Rose, Joseph Blandisi, Dominik Kahun, Michael Amadio
Gardien
#1 : Anders Lindback, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Sean Kuraly, Jacob De La Rose, Joseph Blandisi, Dominik Kahun, Michael Amadio, Joakim Nygard, Joakim Nygard, Owen Tippett, Evgeny Svechnikov, Yegor Korshkov, Mitchell Stephens
Lignes de défense personnalisées en prolongation
Vladislav Gavrikov, Philip Samuelsson, Jacob Bryson, Calle Rosen , Zach Whitecloud


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
1Blackhawks6320000124131132100000147731100001106470.5832440640062919515197792941843581876717218027933.33%27774.07%11089198454.89%1039199252.16%663121354.66%1756100817657551442714
2Blues6410010024131132000100136732100000117490.750243660006291951518679294184358174576815631929.03%24387.50%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
3Bruins22000000945110000005231100000042241.000912210062919515797929418435860179374250.00%20100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
4Canadiens2020000035-21010000023-11010000012-100.000358006291951558792941843586423254100.00%10100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
5Canucks501021101617-12000110077030101010910-170.700162541006291951518479294184358145545314917211.76%14657.14%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
6Capitals42100100121112010010037-42200000094550.625122234006291951513079294184358128422587600.00%10190.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
7Devils20000011550100000102111000000134-130.7505712006291951564792941843586525450400.00%20100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
8Ducks4400000016124220000009722200000075281.00016274300629195151117929418435813145701108112.50%15473.33%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
9Flames4110101013103210000108532010100055060.750131427006291951512779294184358134322310210110.00%9188.89%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
10Flyers2110000037-4110000002111010000016-520.500369006291951566792941843584915750300.00%10100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
11Islanders211000005501010000024-21100000031220.50058130062919515707929418435857258443133.33%40100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
12Kings4220000014113211000006512110000086240.500142438006291951513079294184358117405510110440.00%10280.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
13Maple Leafs211000004401010000012-11100000032120.5004711006291951558792941843586631454500.00%2150.00%21089198454.89%1039199252.16%663121354.66%1756100817657551442714
14Oilers4220000011101211000006422110000056-140.500111930006291951513779294184358126364610513323.08%13284.62%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
15Penguins220000001046110000003211100000072541.00010182800629195156679294184358573511446116.67%30100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
16Predators6420000021201321000001213-13210000097280.667213758006291951517779294184358147646317328414.29%25580.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
17Rangers211000004401010000013-21100000031220.50046100062919515527929418435854211149300.00%3166.67%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
18Red Wings31200000810-2211000007701010000013-220.3338142210629195159479294184358109268772150.00%4175.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
19Sabres2020000035-21010000023-11010000012-100.0003580062919515687929418435860151739200.00%60100.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
20Senateurs211000007701010000046-21100000031220.500711181062919515657929418435865224496233.33%2150.00%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
21Sharks4120001010100210000106422020000046-240.50010142400629195151317929418435812242441218225.00%12191.67%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
22Stars63100200201463010020058-333000000156980.66720355500629195151667929418435815658991622129.52%27388.89%01089198454.89%1039199252.16%663121354.66%1756100817657551442714
23Wild623000101417-330300000511-63200001096360.500142236006291951518779294184358181569815921314.29%34876.47%11089198454.89%1039199252.16%663121354.66%1756100817657551442714
Total82382903552256218384116160153012511874122130202213110031990.6042564146702062919515260379294184358245484890121522394719.67%2504781.20%41089198454.89%1039199252.16%663121354.66%1756100817657551442714
_Since Last GM Reset82382903552256218384116160153012511874122130202213110031990.6042564146702062919515260379294184358245484890121522394719.67%2504781.20%41089198454.89%1039199252.16%663121354.66%1756100817657551442714
_Vs Conference552617034411831473627128014209177142814902021927022710.6451832934760062919515173379294184358162055179115181944020.62%2104280.00%21089198454.89%1039199252.16%663121354.66%1756100817657551442714
_Vs Division30169003111037726156600300494541510300011543222380.6331031702730062919515913792941843588453025008301282721.09%1372681.02%21089198454.89%1039199252.16%663121354.66%1756100817657551442714

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299W125641467026032454848901215220
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8238293552256218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116161530125118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4122132022131100
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2394719.67%2504781.20%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
7929418435862919515
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
1089198454.89%1039199252.16%663121354.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1756100817657551442714


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 - 2022-10-198Avalanche4Predators1AWSommaire du match
6 - 2022-10-2322Predators6Avalanche1BLSommaire du match
8 - 2022-10-2537Blackhawks2Avalanche1BLSommaire du match
10 - 2022-10-2749Capitals3Avalanche2BLXSommaire du match
12 - 2022-10-2954Avalanche2Wild1AWXXSommaire du match
15 - 2022-11-0173Stars3Avalanche2BLSommaire du match
18 - 2022-11-0485Avalanche7Blackhawks1AWSommaire du match
20 - 2022-11-0694Avalanche7Stars2AWSommaire du match
23 - 2022-11-09107Avalanche3Canucks6ALSommaire du match
24 - 2022-11-10114Wild3Avalanche2BLSommaire du match
27 - 2022-11-13124Avalanche1Predators5ALSommaire du match
28 - 2022-11-14129Avalanche6Blues1AWSommaire du match
30 - 2022-11-16143Canucks4Avalanche3BLXSommaire du match
33 - 2022-11-19159Avalanche1Blackhawks2ALSommaire du match
35 - 2022-11-21168Blues1Avalanche7BWSommaire du match
39 - 2022-11-25183Kings4Avalanche2BLR2Sommaire du match
42 - 2022-11-28198Red Wings4Avalanche2BLSommaire du match
44 - 2022-11-30208Avalanche3Devils4ALXXSommaire du match
46 - 2022-12-02215Avalanche3Senateurs1AWSommaire du match
49 - 2022-12-05228Avalanche4Bruins2AWSommaire du match
51 - 2022-12-07236Canadiens3Avalanche2BLSommaire du match
53 - 2022-12-09242Avalanche1Flyers6ALSommaire du match
57 - 2022-12-13260Kings1Avalanche4BWR2Sommaire du match
61 - 2022-12-17278Red Wings3Avalanche5BWSommaire du match
65 - 2022-12-21296Stars3Avalanche2BLXSommaire du match
67 - 2022-12-23306Avalanche4Stars2AWSommaire du match
69 - 2022-12-25320Islanders4Avalanche2BLSommaire du match
71 - 2022-12-27330Avalanche3Rangers1AWSommaire du match
73 - 2022-12-29343Avalanche4Flames3AWXR2Sommaire du match
75 - 2022-12-31351Devils1Avalanche2BWXXSommaire du match
77 - 2023-01-02364Avalanche3Wild2AWSommaire du match
79 - 2023-01-04375Canucks3Avalanche4BWXSommaire du match
82 - 2023-01-07392Avalanche3Capitals2AWSommaire du match
84 - 2023-01-09399Maple Leafs2Avalanche1BLSommaire du match
86 - 2023-01-11415Penguins2Avalanche3BWSommaire du match
88 - 2023-01-13425Avalanche7Penguins2AWSommaire du match
90 - 2023-01-15436Avalanche1Flames2ALR2Sommaire du match
92 - 2023-01-17446Stars2Avalanche1BLXSommaire du match
94 - 2023-01-19454Avalanche1Oilers3ALSommaire du match
97 - 2023-01-22469Avalanche3Maple Leafs2AWSommaire du match
98 - 2023-01-23475Oilers3Avalanche2BLSommaire du match
101 - 2023-01-26492Senateurs6Avalanche4BLSommaire du match
105 - 2023-01-30510Avalanche2Canucks1AWXSommaire du match
106 - 2023-01-31517Ducks5Avalanche6BWSommaire du match
109 - 2023-02-03536Wild4Avalanche2BLSommaire du match
111 - 2023-02-05548Avalanche3Islanders1AWSommaire du match
113 - 2023-02-07559Avalanche6Kings2AWR2Sommaire du match
114 - 2023-02-08566Oilers1Avalanche4BWSommaire du match
118 - 2023-02-12585Sabres3Avalanche2BLSommaire du match
122 - 2023-02-16604Rangers3Avalanche1BLSommaire du match
124 - 2023-02-18621Avalanche4Stars2AWSommaire du match
125 - 2023-02-19628Avalanche4Canucks3AWXXSommaire du match
127 - 2023-02-21637Blackhawks2Avalanche6BWSommaire du match
129 - 2023-02-23650Avalanche4Predators1AWSommaire du match
131 - 2023-02-25659Blackhawks3Avalanche7BWSommaire du match
134 - 2023-02-28677Blues2Avalanche4BWSommaire du match
135 - 2023-03-01684Avalanche4Wild3AWSommaire du match
137 - 2023-03-03699Bruins2Avalanche5BWSommaire du match
142 - 2023-03-08722Avalanche5Ducks4AWSommaire du match
144 - 2023-03-10727Wild4Avalanche1BLSommaire du match
148 - 2023-03-14747Blues3Avalanche2BLXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2023-03-17763Avalanche4Oilers3AWSommaire du match
153 - 2023-03-19771Avalanche6Capitals2AWSommaire du match
154 - 2023-03-20777Flyers1Avalanche2BWSommaire du match
158 - 2023-03-24796Avalanche2Ducks1AWSommaire du match
159 - 2023-03-25803Sharks1Avalanche2BWXXR2Sommaire du match
162 - 2023-03-28820Predators5Avalanche8BWSommaire du match
163 - 2023-03-29828Avalanche1Canadiens2ALSommaire du match
167 - 2023-04-02843Flames1Avalanche3BWR2Sommaire du match
170 - 2023-04-05862Avalanche1Blues5ALSommaire du match
172 - 2023-04-07868Avalanche1Red Wings3ALSommaire du match
173 - 2023-04-08873Predators2Avalanche3BWSommaire du match
176 - 2023-04-11888Avalanche3Sharks4ALR2Sommaire du match
178 - 2023-04-13895Capitals4Avalanche1BLSommaire du match
180 - 2023-04-15905Avalanche4Blues1AWSommaire du match
182 - 2023-04-17913Avalanche1Sharks2ALR2Sommaire du match
184 - 2023-04-19922Avalanche2Blackhawks3ALXXSommaire du match
185 - 2023-04-20929Ducks2Avalanche3BWSommaire du match
189 - 2023-04-24946Flames4Avalanche5BWXXR2Sommaire du match
190 - 2023-04-25953Avalanche2Kings4ALR2Sommaire du match
194 - 2023-04-29968Avalanche1Sabres2ALSommaire du match
196 - 2023-05-01976Sharks3Avalanche4BWR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance79,58533,562
Assistance PCT97.05%81.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2760 - 91.99% 119,344$4,893,104$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,746,946$ 3,023,583$ 1,488,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,194$ 2,950,971$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 19,214$ 19,214$




Avalanche 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

Avalanche 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

Avalanche 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

Avalanche 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

Avalanche 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