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Connexion

Avalanche
GP: 82 | W: 44 | L: 26 | OTL: 12 | P: 100
GF: 265 | GA: 234 | PP%: 17.05% | PK%: 89.47%
DG: Bernard Martel | Morale : 64 | Moyenne d’équipe : 68
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Centre de jeu
Avalanche
44-26-12, 100pts
4
FINAL
2 Red Wings
44-25-13, 101pts
Team Stats
L1SéquenceW1
22-13-6Fiche domicile25-11-5
22-13-6Fiche domicile19-14-8
6-2-2Derniers 10 matchs5-4-1
3.23Buts par match 3.33
2.85Buts contre par match 3.10
17.05%Pourcentage en avantage numérique19.03%
89.47%Pourcentage en désavantage numérique78.30%
Canadiens
55-24-3, 113pts
4
FINAL
1 Avalanche
44-26-12, 100pts
Team Stats
W1SéquenceL1
31-10-0Fiche domicile22-13-6
24-14-3Fiche domicile22-13-6
6-3-1Derniers 10 matchs6-2-2
3.34Buts par match 3.23
2.77Buts contre par match 2.85
20.95%Pourcentage en avantage numérique17.05%
83.48%Pourcentage en désavantage numérique89.47%
Meneurs d'équipe
Buts
Owen Tippett
33
Passes
Sean Kuraly
50
Points
Sean Kuraly
78
Plus/Moins
Zach Whitecloud
16
Victoires
Anthony Stolarz
37
Pourcentage d’arrêts
Anthony Stolarz
0.912

Statistiques d’équipe
Buts pour
265
3.23 GFG
Tirs pour
2572
31.37 Avg
Pourcentage en avantage numérique
17.1%
44 GF
Début de zone offensive
39.4%
Buts contre
234
2.85 GAA
Tirs contre
2540
30.98 Avg
Pourcentage en désavantage numérique
89.5%%
24 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralBernard Martel
EntraîneurDallas Eakins
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,889
Billets de saison1,800


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite contact 56 / 60
Espoirs24


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)X100.0084516775848687789390878525757967807703133,000,000$
2Owen Tippett (R)X100.007945908385888688557883712585766475760251600,000$
3Nikita Gusev (R)X100.0035199969718485935195837078908731797603123,000,000$
4Matty Beniers (R)X100.007440959179877887678080732587594958751213897,500$
5Jacob De La Rose (R)X100.0099734662805270908589867754816865757402811,500,000$
6Dominik Kahun (R)X100.0032189972708886827083758572807831807302821,000,000$
7Michael Amadio (R)X100.007445897581828480537175692578766470710271700,000$
8Evgeny Svechnikov (R)X100.0081507774858185735574706725737967807002731,000,000$
9Connor Dewar (R)X100.008061708476817874697166772576594973700242800,000$
10Joakim Nygard (R)X100.004018997271658476507673576485782680670313800,000$
11Juraj Slafkovsky (R)X100.006950627094826570456664642568525027642203950,000$
12Ben Meyers (R)X100.006640827479786867776064642570594937632253912,500$
13Moritz Seider (R)X100.007850738888927886408368942581594982792233863,333$
14Vladislav Gavrikov (R)X100.0071507378868983774073699225766654817602833,000,000$
15Zach Whitecloud (R)X100.0076557076848584754067668225747664767402732,000,000$
16Philip Samuelsson (R)X100.0099993464756182912563697762859435807203211,250,000$
17Jacob Bryson (R)X100.006740917973847871407670862572615270720261889,166$
18Calle Rosen (R)X100.006140877776858175406971732576766461700301700,000$
19Jacob MacDonald (R)X100.0074558072808183734074697325697060167003131,000,000$
Rayé
1Mason Marchment (R)X98.237663617384868182507672692577665466700281800,000$
2Adam CracknellX100.005327766477325175867068686995891519640382575,000$
3T.J. Tynan (R)X100.006658866965666669806555666487796019630322575,000$
4Steven Fogarty (R)X100.007239796478536660577367702551525720620313575,000$
5Mitchell Stephens (R)X100.007772456577646955817164615875726620620273575,000$
6Matt Luff (R)X100.006040726765636260426966722560554918610272575,000$
7Brett Seney (R)X100.006356797864677154686054646374715619610282575,000$
8Yegor Korshkov (R)X100.005029997472577559535557675975727020600273575,000$
9Joel Kellman (R)X100.005320996671507259786058676378733219600291575,000$
10Will Cuylle (R)X100.006961636970606166436263652566505019602223828,333$
11Jordan Szwarz (R)X100.004229996374707956715452646290804620590321575,000$
12Josh Dunne (R)X100.006051606169636465596161522562525019571253874,125$
13Brayden Tracey (R)X100.007265897370323044553535584246464819480222863,333$
14Victor Antipin (R)X100.003317997370657185307974755280692817670313700,000$
15Dakota Mermis (R)X100.006837886675695571247571737958585719650301575,000$
16Jacob Bernard-Docker (R)X100.006145657064595957405152652560515020582233925,000$
MOYENNE D’ÉQUIPE99.94664678727671737256706771417568514767
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
1Anthony Stolarz (R)100.008286839584999999998281808454818803013,000,000$
2Edward Pasquale (R)100.00827184808289919089817366813667810331800,000$
Rayé
1Yaroslav Askarov (R)100.00736268637077807779702567505047701213925,000$
MOYENNE D’ÉQUIPE100.0079737879798890898978607172476580
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins7575757985801USA562900,000$


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
1Sean KuralyAvalanche (COL)C79285078-365351832292056111813.66%41164920.88815233121921362024457.09%22002229110.95210214637
2Owen TippettAvalanche (COL)RW81334376732301301083068317310.78%23163220.151011215020400071785043.18%1326724010.9328303752
3Nikita GusevAvalanche (COL)RW78293766-197563992487415911.69%35156320.05311142119801161348043.97%1165530000.8448001342
4Matty BeniersAvalanche (COL)C8232346601151441762918315911.00%33153918.7894132917900051044248.88%14267920000.8614001686
5Jacob De La RoseAvalanche (COL)LW75273158-127913519895184388814.67%22128717.177111824190000072550.50%1011923100.90008415232
6Dominik KahunAvalanche (COL)LW82193655-155481071586010312.03%32154418.843710121910003644248.39%932424000.7101100214
7Michael AmadioAvalanche (COL)C82182644121151051121605010211.25%20109713.380111270000203142.90%6622725000.8000010123
8Moritz SeiderAvalanche (COL)D82734416783017715014948694.70%109196123.92268202461124218010%04469000.4200321121
9Mason MarchmentAvalanche (COL)LW662017371571259978137326914.60%2386513.120001160001253034.88%432717000.8500113211
10Evgeny SvechnikovAvalanche (COL)RW821115261448301118612023849.17%11104812.780001150006192234.04%471315000.5000114022
11Zach WhitecloudAvalanche (COL)D821222316122601621387325291.37%107177921.7004411880224153010%01046000.2600264022
12Joakim NygardAvalanche (COL)LW8281523300174411233807.14%127228.8100003000061150.00%24199000.6401000010
13Connor DewarAvalanche (COL)C7513102345925716395417013.68%115827.77000000003291051.09%2292810000.7900221300
14Jacob BrysonAvalanche (COL)D7721921132010831037129312.82%73145318.88000298000276020%02049000.2900011012
15Philip SamuelssonAvalanche (COL)D82416202415225214956828275.88%60145717.781122111101169200%0655100.2701161217030
16Vladislav GavrikovAvalanche (COL)D64112131152201181225928341.69%89152723.8713491780003187000%01848000.1700211002
17Calle Rosen Avalanche (COL)D82099-13195541246126140%78135716.55000018000166000%01639000.1300100000
18Ben MeyersAvalanche (COL)C40246-3202633214149.52%63639.10000213000000153.93%8904000.3300000001
19Matt LuffAvalanche (COL)RW413141403225144621.43%42967.2400000000000033.33%605000.2700000012
20Yegor KorshkovAvalanche (COL)RW161233008970214.29%01338.3500000000000066.67%302000.4500000001
21Juraj SlafkovskyAvalanche (COL)LW23123-71810145233114.35%31506.5500000000000033.33%620000.4000011001
22Victor AntipinAvalanche (COL)D10011-2000124340%1416416.4300000000013000%054000.1200000000
23Jacob MacDonaldAvalanche (COL)D13011-11211514146430%720816.0700000000012000%018000.1000111000
Statistiques d’équipe totales ou en moyenne1476260437697471339675207120272572780144910.11%8132439016.5244741182062104459521591392251.28%5177502555320.57933433458333941
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
1Anthony StolarzAvalanche (COL)67371790.9122.663919211741970812410.786286517843
2Edward PasqualeAvalanche (COL)167630.9102.869230044489230200.60051611320
3Yaroslav AskarovAvalanche (COL)30200.8674.5310600860250000137000
Statistiques d’équipe totales ou en moyenne864425120.9102.7449502122625191067613382651163


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam CracknellAvalanche (COL)LW381985-07-15 11:11:13No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Anthony StolarzAvalanche (COL)G301994-01-20 03:19:46Yes243 Lbs6 ft6NoNoN/ANoNo1Pro & Farm3,000,000$0$0$No------------------
Ben MeyersAvalanche (COL)C251998-11-15 11:54:46Yes194 Lbs5 ft11NoNoN/ANoNo3Pro & Farm912,500$0$0$No912,500$912,500$-------NoNo-------
Brayden TraceyAvalanche (COL)LW222001-05-28 08:57:26Yes176 Lbs6 ft0NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------
Brett SeneyAvalanche (COL)C281996-02-28 05:09:31Yes157 Lbs5 ft9NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Calle Rosen Avalanche (COL)D301994-02-02 06:41:47Yes188 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------
Connor DewarAvalanche (COL)C241999-06-26 08:59:34Yes183 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Dakota MermisAvalanche (COL)D301994-01-05 13:15:47Yes196 Lbs6 ft0NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Dominik KahunAvalanche (COL)LW281995-07-02 07:23:49Yes175 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Edward PasqualeAvalanche (COL)G331990-11-20 10:54:58Yes215 Lbs6 ft2NoNoTrade2024-02-25NoNo1Pro & Farm800,000$0$0$No------------------
Evgeny SvechnikovAvalanche (COL)RW271996-10-31 03:35:20Yes208 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Jacob Bernard-DockerAvalanche (COL)D232000-06-30 02:17:34Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Jacob BrysonAvalanche (COL)D261997-11-18 04:41:08Yes176 Lbs5 ft9NoNoN/ANoNo1Pro & Farm889,166$0$0$No------------------
Jacob De La RoseAvalanche (COL)LW281995-05-20 23:11:13Yes216 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Jacob MacDonaldAvalanche (COL)D311993-02-26 05:55:34Yes204 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Joakim NygardAvalanche (COL)LW311993-01-08 14:13:39Yes179 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Joel KellmanAvalanche (COL)C291994-05-25 11:14:12Yes192 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Jordan SzwarzAvalanche (COL)RW321991-05-14 23:11:13Yes201 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Josh DunneAvalanche (COL)C251998-12-08 03:06:38Yes209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm874,125$0$0$No874,125$874,125$-------NoNo-------
Juraj SlafkovskyAvalanche (COL)LW202004-03-30 02:19:23Yes238 Lbs6 ft3NoNoN/ANoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Mason MarchmentAvalanche (COL)LW281995-06-18 05:04:37Yes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Matt LuffAvalanche (COL)RW271997-05-05 05:00:14Yes196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Matty BeniersAvalanche (COL)C212002-11-05 02:21:24Yes178 Lbs6 ft2NoNoN/ANoNo3Pro & Farm897,500$0$0$No897,500$897,500$-------NoNo-------
Michael AmadioAvalanche (COL)C271996-05-13 13:41:42Yes204 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------
Mitchell StephensAvalanche (COL)C271997-02-05 03:05:21Yes194 Lbs6 ft0NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Moritz SeiderAvalanche (COL)D232001-04-06 02:23:06Yes204 Lbs6 ft4NoNoN/ANoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------
Nikita GusevAvalanche (COL)RW311992-07-08 06:29:54Yes181 Lbs5 ft11NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Owen TippettAvalanche (COL)RW251999-02-16 13:39:45Yes207 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Philip SamuelssonAvalanche (COL)D321991-07-26 23:11:13Yes202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Sean KuralyAvalanche (COL)C311993-01-20 13:23:25Yes213 Lbs6 ft2NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Steven FogartyAvalanche (COL)C311993-04-19 13:46:11Yes205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
T.J. TynanAvalanche (COL)C321992-02-25 03:45:00Yes168 Lbs5 ft8NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Victor AntipinAvalanche (COL)D311992-12-06 02:24:53Yes175 Lbs5 ft11NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Vladislav GavrikovAvalanche (COL)D281995-11-21 13:25:15Yes221 Lbs6 ft3NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Will CuylleAvalanche (COL)LW222002-02-05 02:25:09Yes212 Lbs6 ft3NoNoN/ANoNo3Pro & Farm828,333$0$0$No828,333$828,333$-------NoNo-------
Yaroslav AskarovAvalanche (COL)G212002-06-16 02:28:14Yes176 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Yegor KorshkovAvalanche (COL)RW271996-07-10 10:13:34Yes181 Lbs6 ft4NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Zach WhitecloudAvalanche (COL)D271996-11-28 06:29:34Yes207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3827.66197 Lbs6 ft12.161,061,271$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob De La RoseSean KuralyOwen Tippett35122
2Dominik KahunMatty BeniersNikita Gusev35122
3Joakim NygardMichael AmadioEvgeny Svechnikov25122
4Juraj SlafkovskyConnor DewarBen Meyers5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderZach Whitecloud35122
2Philip SamuelssonJacob Bryson35122
3Calle Rosen Jacob MacDonald30122
4Moritz SeiderZach Whitecloud0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob De La RoseSean KuralyOwen Tippett60122
2Dominik KahunMatty BeniersNikita Gusev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderZach Whitecloud60122
2Philip SamuelssonJacob Bryson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sean KuralyOwen Tippett60122
2Nikita GusevMatty Beniers40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderZach Whitecloud60122
2Philip SamuelssonJacob Bryson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sean Kuraly60122Moritz SeiderZach Whitecloud60122
2Owen Tippett40122Philip SamuelssonJacob Bryson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean KuralyOwen Tippett60122
2Nikita GusevMatty Beniers40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Moritz SeiderZach Whitecloud60122
2Philip SamuelssonJacob Bryson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob De La RoseSean KuralyOwen TippettMoritz SeiderZach Whitecloud
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob De La RoseSean KuralyOwen TippettMoritz SeiderZach Whitecloud
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Meyers, Michael Amadio, Evgeny SvechnikovBen Meyers, Michael AmadioEvgeny Svechnikov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Rosen , Jacob MacDonald, Philip SamuelssonCalle Rosen Jacob MacDonald, Philip Samuelsson
Tirs de pénalité
Sean Kuraly, Owen Tippett, Nikita Gusev, Matty Beniers, Jacob De La Rose
Gardien
#1 : Edward Pasquale, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Sean Kuraly, Owen Tippett, Nikita Gusev, Matty Beniers, Jacob De La Rose, Dominik Kahun, Dominik Kahun, Michael Amadio, Evgeny Svechnikov, Connor Dewar, Joakim Nygard
Lignes de défense personnalisées en prolongation
Moritz Seider, Zach Whitecloud, Philip Samuelsson, Jacob Bryson, Calle Rosen


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
1Blackhawks632010002117422000000725412010001415-180.6672137580078928415204888838817621995316514825520.00%35294.29%01070201653.08%962191450.26%623118752.49%1819107417497311419712
2Blues522001001916321100000761311001001210250.5001933520078928415175888838817621414510413433515.15%17382.35%01070201653.08%962191450.26%623118752.49%1819107417497311419712
3Bruins321000001073211000006601100000041340.66710172700789284158488883881762882332657114.29%10100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
4Canadiens3210000011742110000056-11100000061540.66711203100789284159988883881762923814697114.29%20100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
5Canucks31200000121202020000069-31100000063320.33312162800789284159388883881762812926808337.50%80100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
6Capitals31100001913-42110000058-31000000145-130.5009132200789284159588883881762932817915240.00%6350.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
7Devils30300000513-81010000015-42020000048-400.00059140078928415938888388176290233268400.00%60100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
8Ducks3110010078-11010000023-12100010055030.50071219007892841582888838817621053658607114.29%140100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
9Flames31200000141131100000081720200000610-420.333142438007892841510788883881762803143801317.69%9188.89%01070201653.08%962191450.26%623118752.49%1819107417497311419712
10Flyers320010001055110000004222100100063361.00010192900789284158888883881762104311072200.00%5180.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
11Islanders31100010990110000004312010001056-140.6679132210789284159488883881762107331875500.00%4175.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
12Kings320000011367210000016511100000071650.83313193200789284159088883881762983330698450.00%100100.00%11070201653.08%962191450.26%623118752.49%1819107417497311419712
13Maple Leafs30100011810-21000000134-12010001056-130.500810180078928415908888388176297291971200.00%7185.71%11070201653.08%962191450.26%623118752.49%1819107417497311419712
14Oilers32100000963110000003122110000065140.6679152401789284158588883881762942371725240.00%8187.50%01070201653.08%962191450.26%623118752.49%1819107417497311419712
15Penguins3110100010911010000046-22100100063340.667101828007892841594888838817621114115728112.50%000%01070201653.08%962191450.26%623118752.49%1819107417497311419712
16Predators622001102119240200110911-222000000128470.5832133540078928415191888838817621705216816131412.90%24483.33%11070201653.08%962191450.26%623118752.49%1819107417497311419712
17Rangers3210000089-1110000003212110000057-240.66781624007892841587888838817621003395635240.00%50100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
18Red Wings41002100141133000210010911100000042270.875142337007892841513188883881762127384105400.00%20100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
19Sabres320010001055210010008441100000021161.00010162600789284159888883881762942491044125.00%20100.00%01070201653.08%962191450.26%623118752.49%1819107417497311419712
20Senateurs320000101257210000109451100000031261.000122032007892841596888838817627621627210440.00%6183.33%01070201653.08%962191450.26%623118752.49%1819107417497311419712
21Sharks3100000267-1210000015501000000112-140.6676111700789284159888883881762101371117213215.38%8187.50%01070201653.08%962191450.26%623118752.49%1819107417497311419712
22Stars5120011016160301001101011-12110000065150.500162440007892841515588883881762148531571392114.76%31487.10%11070201653.08%962191450.26%623118752.49%1819107417497311419712
23Wild512002001113-2211000008623010020037-440.400111930007892841514388883881762144598112931412.90%18194.44%01070201653.08%962191450.26%623118752.49%1819107417497311419712
Total8233260675526523431411613033331331191441171303422132115171000.61026543770211789284152572888838817622540813134120712584417.05%2282489.47%41070201653.08%962191450.26%623118752.49%1819107417497311419712
_Since Last GM Reset8233260675526523431411613033331331191441171303422132115171000.61026543770211789284152572888838817622540813134120712584417.05%2282489.47%41070201653.08%962191450.26%623118752.49%1819107417497311419712
_Vs Conference451716016231491311822880022271601123980140178717490.54414924339201789284151423888838817621361451101411441953216.41%1821790.66%31070201653.08%962191450.26%623118752.49%1819107417497311419712
_Vs Division2791001520888171345002204136514550130047452290.537881462340078928415868888838817628022626757111411913.48%1251488.80%21070201653.08%962191450.26%623118752.49%1819107417497311419712

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82100L1265437702257225408131341207111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233266755265234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116133333133119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117133422132115
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2584417.05%2282489.47%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
8888388176278928415
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
1070201653.08%962191450.26%623118752.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1819107417497311419712


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
14Predators2Avalanche3BWXXSommaire du match
420Avalanche1Wild2ALXSommaire du match
526Avalanche5Blackhawks4AWXSommaire du match
743Avalanche2Blackhawks3ALSommaire du match
954Predators4Avalanche3BLXSommaire du match
1268Red Wings2Avalanche3BWXSommaire du match
1580Stars4Avalanche3BLSommaire du match
19101Senateurs3Avalanche4BWXXSommaire du match
21111Avalanche2Maple Leafs4ALSommaire du match
24124Bruins4Avalanche2BLSommaire du match
26137Avalanche4Blues5ALSommaire du match
28149Wild5Avalanche4BLSommaire du match
30159Avalanche4Oilers5ALSommaire du match
32172Predators2Avalanche1BLSommaire du match
34182Avalanche0Wild2ALSommaire du match
36191Avalanche2Rangers6ALSommaire du match
38200Predators3Avalanche2BLSommaire du match
40210Avalanche7Predators5AWSommaire du match
43223Senateurs1Avalanche5BWSommaire du match
45235Avalanche2Oilers0AWSommaire du match
49252Islanders3Avalanche4BWSommaire du match
51267Penguins6Avalanche4BLSommaire du match
53280Avalanche2Wild3ALXSommaire du match
55289Avalanche1Sharks2ALXXR2Sommaire du match
56299Capitals3Avalanche4BWSommaire du match
58312Avalanche5Predators3AWSommaire du match
61323Capitals5Avalanche1BLSommaire du match
63332Avalanche2Devils3ALSommaire du match
65344Oilers1Avalanche3BWSommaire du match
67356Avalanche2Devils5ALSommaire du match
69366Avalanche6Canucks3AWSommaire du match
70374Rangers2Avalanche3BWSommaire du match
74394Maple Leafs4Avalanche3BLXXSommaire du match
79411Avalanche6Canadiens1AWSommaire du match
81420Stars4Avalanche3BLXSommaire du match
84437Flames1Avalanche8BWR2Sommaire du match
86449Avalanche2Ducks1AWSommaire du match
89461Kings2Avalanche4BWR2Sommaire du match
91470Avalanche4Bruins1AWSommaire du match
93482Avalanche3Flyers1AWSommaire du match
95490Sharks3Avalanche4BWR2Sommaire du match
97500Avalanche3Senateurs1AWSommaire du match
99507Avalanche3Rangers1AWSommaire du match
101520Bruins2Avalanche4BWSommaire du match
103534Avalanche4Capitals5ALXXSommaire du match
105544Flyers2Avalanche4BWSommaire du match
110562Sabres1Avalanche4BWSommaire du match
112577Avalanche3Flyers2AWXSommaire du match
114584Avalanche4Flames6ALR2Sommaire du match
115591Kings3Avalanche2BLXXR2Sommaire du match
118605Avalanche3Maple Leafs2AWXXSommaire du match
120612Devils5Avalanche1BLSommaire du match
122630Avalanche3Blues4ALXSommaire du match
124637Sabres3Avalanche4BWXSommaire du match
126650Avalanche7Kings1AWR2Sommaire du match
129664Blues5Avalanche2BLSommaire du match
133682Ducks3Avalanche2BLSommaire du match
136700Blues1Avalanche5BWSommaire du match
138708Avalanche3Islanders2AWXXSommaire du match
140717Avalanche2Sabres1AWSommaire du match
142729Avalanche2Penguins1AWXSommaire du match
143736Canucks4Avalanche3BLSommaire du match
146749Avalanche2Flames4ALR2Sommaire du match
148759Canucks5Avalanche3BLSommaire du match
151776Avalanche1Stars3ALSommaire du match
152782Red Wings2Avalanche3BWXSommaire du match
155801Avalanche4Penguins2AWSommaire du match
156807Blackhawks1Avalanche3BWSommaire du match
159821Avalanche3Blackhawks2AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161832Stars3Avalanche4BWXXSommaire du match
163842Avalanche4Blackhawks6ALSommaire du match
164854Red Wings5Avalanche4BLXSommaire du match
167870Avalanche5Stars2AWSommaire du match
169880Blackhawks1Avalanche4BWSommaire du match
172898Wild1Avalanche4BWSommaire du match
173907Avalanche3Ducks4ALXSommaire du match
176921Sharks2Avalanche1BLXXR2Sommaire du match
177926Avalanche5Blues1AWSommaire du match
179934Avalanche2Islanders4ALSommaire du match
183952Canadiens2Avalanche4BWSommaire du match
190971Avalanche4Red Wings2AWSommaire du match
192982Canadiens4Avalanche1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance78,83239,617
Assistance PCT96.14%96.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2889 - 96.30% 123,461$5,061,882$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,751,833$ 4,032,828$ 1,627,828$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,851,855$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 25,559$ 0$




Avalanche Leaders statistiques des joueurs (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 des joueurs (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