Connexion

Avalanche
GP: 82 | W: 43 | L: 33 | OTL: 6 | P: 92
GF: 254 | GA: 264 | PP%: 17.89% | PK%: 84.86%
DG: Bernard Martel | Morale : 61 | Moyenne d’équipe : 69
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Centre de jeu
Flames
39-33-10, 88pts
1
FINAL
4 Avalanche
43-33-6, 92pts
Team Stats
L1StreakW2
23-13-5Home Record23-16-2
16-20-5Away Record20-17-4
4-4-2Last 10 Games6-4-0
3.06Buts par match 3.10
3.41Buts contre par match 3.22
14.03%Pourcentage en avantage numérique17.89%
80.43%Pourcentage en désavantage numérique84.86%
Avalanche
43-33-6, 92pts
3
FINAL
1 Canucks
44-30-8, 96pts
Team Stats
W2StreakL1
23-16-2Home Record27-12-2
20-17-4Away Record17-18-6
6-4-0Last 10 Games5-5-0
3.10Buts par match 3.29
3.22Buts contre par match 3.21
17.89%Pourcentage en avantage numérique19.03%
84.86%Pourcentage en désavantage numérique83.47%
Meneurs d'équipe
Buts
Ty Rattie
36
Passes
Scott Laughton
48
Points
Ty Rattie
79
Plus/Moins
Nikita Gusev
7
Victoires
Anthony Stolarz
26
Pourcentage d’arrêts
Anthony Stolarz
0.908

Statistiques d’équipe
Buts pour
254
3.10 GFG
Tirs pour
2541
30.99 Avg
Pourcentage en avantage numérique
17.9%
39 GF
Début de zone offensive
37.1%
Buts contre
264
3.22 GAA
Tirs contre
2689
32.79 Avg
Pourcentage en désavantage numérique
84.9%
43 GA
Début de la zone défensive
39.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,839
Billets de saison1,800


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 60
Espoirs27


Historique d'équipe

Saison actuelle43-33-6 (92PTS)
Historique174-121-37 (0.524%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Scott Laughton (R)X98.0087467370737584818188869069747178817702733,000,000$
2Ty Rattie (R)X98.0070367566716884946392918051775967817602922,500,000$
3Jacob De La Rose (R)X99.0095566466806470848383818054756272787302631,500,000$
4Nikita Gusev (R)X100.0048339177677785845486736778807742767202912,999,999$
5Dominik Kahun (R)X100.004733937269778676697768787271694182700261925,000$
6Joseph Blandisi (R)X100.006454746173707976708276705875715282690271575,000$
7Michael Amadio (R)X100.004934916676648072797469716671686059670253700,000$
8Owen Tippett (R)X100.007935956880817472597067546964668581660233600,000$
9Mason Marchment (R)X100.008562856688827665716665616472684470660263800,000$
10Adam CracknellX100.006236666877335176847168676987812378650361575,000$
11Steven Fogarty (R)X100.005633846584797462716362696276695381640292575,000$
12Joel Kellman (R)X100.006835926471687264776564686374693664640272750,000$
13Vladislav Gavrikov (R)X98.006935916581818873308067825374714776720262925,000$
14Keith Aulie (R)X98.008951686482737779487160725485842775710321900,000$
15Philip Samuelsson (R)X100.0089915266757382862556637562758446827103031,250,000$
16Zach Whitecloud (R)X100.007839876182878662306958755470664181690252725,000$
17Jacob MacDonald (R)X100.007635936675858263307058745274693575690292725,000$
18Victor Antipin (R)X100.005033947270717180307669725272613635670292700,000$
Rayé
1Matt Luff (R)X100.006246876576787667566560726167655419640241677,777$
2Jordan Szwarz (R)X100.005238946373747966676361656282725420630303575,000$
3Brett Seney (R)X100.005546796466767869696761646370675620630261757,500$
4Yegor Korshkov (R)X100.006139966484707567546264665969667620630252925,000$
5Joakim Nygard (R)X100.005835916870818466596562566475683620630291575,000$
6T.J. Tynan (R)X100.005235886466677566766758666479715320620301575,000$
7Dakota Mermis (R)X100.008238886574877963306662715673673820680282700,000$
8Jacob Bryson (R)X100.006439866765818366306958755667646320660243889,166$
9Calle Rosen (R)X100.005938916172827765306760675473685119640281750,000$
MOYENNE D’ÉQUIPE99.67674284667574787256716671617469515668
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 Lindback99.007475928283999999998585999940818703322,500,000$
2Anthony Stolarz (R)98.008286839581858887868281747761818302821,250,000$
Rayé
1Matt Hackett (R)100.008173727576898991917879868639208003221,750,000$
MOYENNE D’ÉQUIPE99.0079788284809192929282828687476183
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller70848370837574CAN542800,000$


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
1Ty RattieAvalanche (COL)RW82364379-1140101471462988318412.08%52171820.961012224018611262433349.57%1155431010.9229011683
2Scott LaughtonAvalanche (COL)LW82294877-1074301671612498216611.65%49171220.89614202718611282446152.32%5394326000.90290243611
3Nikita GusevAvalanche (COL)RW81264369780106114272801669.56%43151518.7173102015401141205445.63%1035820000.9123000434
4Jacob De La RoseAvalanche (COL)C82244064-8119351931811646311514.63%39154818.89510151618610161032254.94%19552536000.8318223302
5Dominik KahunAvalanche (COL)C82253257200772061985411912.63%40147718.02279191540001414347.46%14793135010.7722000335
6Joseph BlandisiAvalanche (COL)LW822524497781019297150458416.67%42142717.41459131551013177247.13%871919000.6900101352
7Keith AulieAvalanche (COL)D827243157402041259541407.37%107190023.17246131960111224010.00%02554000.3300000011
8Vladislav GavrikovAvalanche (COL)D7232730-71158813510638352.83%108170823.73268151900110241000.00%01856000.3500010030
9Owen TippettAvalanche (COL)RW82141428-8409668200581067.00%17109213.33000070001682236.76%683918000.5100000250
10Michael AmadioAvalanche (COL)C66101727-6100309413952807.19%2482112.45101110000100053.82%5112121000.6600000101
11Adam CracknellAvalanche (COL)LW8015122701406146120428212.50%106748.43000021125731053.85%133710000.8000000002
12Philip SamuelssonAvalanche (COL)D8232427-1194402301339246303.26%105175021.3403351560000163200.00%02243000.3100404001
13Mason MarchmentAvalanche (COL)LW79121224-122951096899416812.12%1999012.54000070000152351.02%49219000.4800100113
14Joel KellmanAvalanche (COL)C7771017-66052568416438.33%96368.2700000000001051.94%25876000.5300000100
15Zach WhitecloudAvalanche (COL)D821131412551091286320241.59%94160119.530001960001130010.00%0636000.1701100011
16Jacob MacDonaldAvalanche (COL)D8111314-1920981115228231.92%90142917.65000153000172100.00%0338000.2000000001
17Victor AntipinAvalanche (COL)D481121324015575514301.82%6177716.2001114000148000.00%01625000.3300000001
18Steven FogartyAvalanche (COL)RW82661224033415692810.71%205917.2200002000050063.64%1157000.4100000000
19T.J. TynanAvalanche (COL)C2112300031315656.67%31376.5600000000000042.86%5603000.4400000000
20Dakota MermisAvalanche (COL)D35123-7803141224114.55%3558216.6500006000045000.00%009000.1000000000
21Calle Rosen Avalanche (COL)D5022120343020.00%68617.230000000003000.00%001000.4600000000
22Joakim NygardAvalanche (COL)LW3022100117040.00%0258.590000000000000.00%110001.5500000000
23Matt LuffAvalanche (COL)RW1000000000010.00%066.750000000000000.00%000000.0000000000
24Brett SeneyAvalanche (COL)C2000000011010.00%0136.860000000000000.00%000000.0000000000
25Jacob BrysonAvalanche (COL)D5000-120151110.00%58216.570000000006000.00%014000.0000000000
Statistiques d’équipe totales ou en moyenne1476247422669-6870814020462032254182314489.72%9782431316.47396510417217605611391872362251.48%5245452507020.559329613273638
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)53262030.9083.012933401471591731430.857214735540
2Anders LindbackAvalanche (COL)39171330.8993.222047401101093462020.900103547612
Statistiques d’équipe totales ou en moyenne92433360.9043.1049818025726841193450.8713182821152


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)LW361985-07-15 11:11:13No209 Lbs6 ft3NoNoNo1Pro & Farm575,000$3,010$0$0$No
Anders LindbackAvalanche (COL)G331988-05-03 17:11:14No210 Lbs6 ft6NoNoNo2Pro & Farm2,500,000$13,089$0$0$No2,500,000$
Anthony StolarzAvalanche (COL)G281994-01-20 03:19:46Yes229 Lbs6 ft5NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Brett SeneyAvalanche (COL)C261996-02-28 05:09:31Yes156 Lbs5 ft9NoNoNo1Pro & Farm757,500$3,966$0$0$No
Calle Rosen Avalanche (COL)D281994-02-02 06:41:47Yes186 Lbs6 ft1NoNoNo1Pro & Farm750,000$3,927$0$0$No
Dakota MermisAvalanche (COL)D281994-01-05 13:15:47Yes194 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Dominik KahunAvalanche (COL)C261995-07-02 07:23:49Yes175 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,843$0$0$No
Jacob BrysonAvalanche (COL)D241997-11-18 04:41:08Yes179 Lbs5 ft9NoNoNo3Pro & Farm889,166$4,655$0$0$No889,166$889,166$
Jacob De La RoseAvalanche (COL)C261995-05-20 23:11:13Yes216 Lbs6 ft3NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Jacob MacDonaldAvalanche (COL)D291993-02-26 05:55:34Yes205 Lbs6 ft0NoNoNo2Pro & Farm725,000$3,796$0$0$No725,000$
Joakim NygardAvalanche (COL)LW291993-01-08 14:13:39Yes179 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Joel KellmanAvalanche (COL)C271994-05-25 11:14:12Yes192 Lbs5 ft11NoNoNo2Pro & Farm750,000$3,927$0$0$No750,000$
Jordan SzwarzAvalanche (COL)RW301991-05-14 23:11:13Yes201 Lbs5 ft11NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Joseph BlandisiAvalanche (COL)LW271994-07-18 04:31:57Yes187 Lbs5 ft11NoNoNo1Pro & Farm575,000$3,010$0$0$No
Keith AulieAvalanche (COL)D321989-07-11 05:11:13Yes221 Lbs6 ft6NoNoNo1Pro & Farm900,000$4,712$0$0$No
Mason MarchmentAvalanche (COL)LW261995-06-18 05:04:37Yes209 Lbs6 ft4NoNoNo3Pro & Farm800,000$4,188$0$0$No800,000$800,000$
Matt HackettAvalanche (COL)G321990-03-07 17:11:14Yes181 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$9,162$0$0$No1,750,000$
Matt LuffAvalanche (COL)RW241997-05-05 05:00:14Yes196 Lbs6 ft2NoNoNo1Pro & Farm677,777$3,549$0$0$No
Michael AmadioAvalanche (COL)C251996-05-13 13:41:42Yes204 Lbs6 ft1NoNoNo3Pro & Farm700,000$3,665$0$0$No700,000$700,000$
Nikita GusevAvalanche (COL)RW291992-07-08 06:29:54Yes181 Lbs5 ft11NoNoNo1Pro & Farm2,999,999$15,707$0$0$No
Owen TippettAvalanche (COL)RW231999-02-16 13:39:45Yes200 Lbs6 ft1NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Philip SamuelssonAvalanche (COL)D301991-07-26 23:11:13Yes202 Lbs6 ft2NoNoNo3Pro & Farm1,250,000$6,545$0$0$No1,250,000$1,250,000$
Scott LaughtonAvalanche (COL)LW271994-05-30 17:11:13Yes190 Lbs6 ft1NoNoNo3Pro & Farm3,000,000$15,707$0$0$No3,000,000$3,000,000$
Steven FogartyAvalanche (COL)RW291993-04-19 13:46:11Yes210 Lbs6 ft3NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
T.J. TynanAvalanche (COL)C301992-02-25 03:45:00Yes168 Lbs5 ft8NoNoNo1Pro & Farm575,000$3,010$0$0$No
Ty RattieAvalanche (COL)RW291993-02-05 11:11:13Yes183 Lbs6 ft0NoNoNo2Pro & Farm2,500,000$13,089$0$0$No2,500,000$
Victor AntipinAvalanche (COL)D291992-12-06 02:24:53Yes175 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Vladislav GavrikovAvalanche (COL)D261995-11-21 13:25:15Yes205 Lbs6 ft3NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Yegor KorshkovAvalanche (COL)RW251996-07-10 10:13:34Yes181 Lbs6 ft4NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Zach WhitecloudAvalanche (COL)D251996-11-28 06:29:34Yes209 Lbs6 ft2NoNoNo2Pro & Farm725,000$3,796$0$0$No725,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.93194 Lbs6 ft11.931,088,315$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott LaughtonJacob De La RoseTy Rattie35122
2Joseph BlandisiDominik KahunNikita Gusev35122
3Mason MarchmentMichael AmadioOwen Tippett25122
4Adam CracknellJoel KellmanSteven Fogarty5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovKeith Aulie35122
2Philip SamuelssonJacob MacDonald35122
3Zach WhitecloudVictor Antipin30122
4Vladislav GavrikovKeith Aulie0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott LaughtonJacob De La RoseTy Rattie60122
2Joseph BlandisiDominik KahunNikita Gusev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovKeith Aulie60122
2Philip SamuelssonJacob MacDonald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Scott LaughtonTy Rattie60122
2Jacob De La RoseNikita Gusev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovKeith Aulie60122
2Philip SamuelssonJacob MacDonald40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Scott Laughton60122Vladislav GavrikovKeith Aulie60122
2Ty Rattie40122Philip SamuelssonJacob MacDonald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Scott LaughtonTy Rattie60122
2Jacob De La RoseNikita Gusev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovKeith Aulie60122
2Philip SamuelssonJacob MacDonald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott LaughtonJacob De La RoseTy RattieVladislav GavrikovKeith Aulie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott LaughtonJacob De La RoseTy RattieVladislav GavrikovKeith Aulie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Amadio, Mason Marchment, Owen TippettMichael Amadio, Mason MarchmentOwen Tippett
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Whitecloud, Victor Antipin, Philip SamuelssonZach WhitecloudVictor Antipin, Philip Samuelsson
Tirs de pénalité
Scott Laughton, Ty Rattie, Jacob De La Rose, Nikita Gusev, Dominik Kahun
Gardien
#1 : Anders Lindback, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Scott Laughton, Ty Rattie, Jacob De La Rose, Nikita Gusev, Dominik Kahun, Joseph Blandisi, Joseph Blandisi, Michael Amadio, Mason Marchment, Owen Tippett, Adam Cracknell
Lignes de défense personnalisées en prolongation
Vladislav Gavrikov, Keith Aulie, Philip Samuelsson, Jacob MacDonald, 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
1Blackhawks621011101818032000010106430101100812-490.750183048006291871618480282987071184568316224312.50%39976.92%01020191753.21%1045202051.73%635123451.46%171397718457531431701
2Blues623010001924-5311010001212031200000712-560.500193655006291871618180282987071191868116127414.81%28967.86%11020191753.21%1045202051.73%635123451.46%171397718457531431701
3Bruins20000011880100000106511000000123-130.7508122000629187166880282987071682614494250.00%70100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
4Canadiens22000000624110000003121100000031241.00061218006291871653802829870717938848200.00%40100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
5Canucks4220000013130211000008712110000056-140.5001319321062918716132802829870711263834979333.33%17288.24%01020191753.21%1045202051.73%635123451.46%171397718457531431701
6Capitals20200000710-31010000012-11010000068-200.000713200062918716758028298707176308314125.00%4175.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
7Devils210000101064110000004131000001065141.0001015250062918716738028298707169222546350.00%10100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
8Ducks40202000910-12010100045-12010100055040.500916251062918716116802829870711184828987114.29%14378.57%01020191753.21%1045202051.73%635123451.46%171397718457531431701
9Flames42001010171162100100062421000010119281.0001728450062918716128802829870711354420961317.69%10280.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
10Flyers22000000844110000003121100000053241.000815230062918716598028298707154281263100.00%6183.33%01020191753.21%1045202051.73%635123451.46%171397718457531431701
11Islanders32100000981110000004222110000056-140.66791221006291871696802829870719030866500.00%40100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
12Kings421001001011-12010010036-32200000075250.6251018280062918716129802829870711475326783133.33%140100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
13Maple Leafs21000001981110000005321000000145-130.7509152400629187165780282987071932810444250.00%50100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
14Oilers514000001415-13120000010912020000046-220.200142438006291871615180282987071173753312813215.38%9366.67%01020191753.21%1045202051.73%635123451.46%171397718457531431701
15Penguins21100000770110000005321010000024-220.500712190062918716628028298707173158474125.00%4175.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
16Predators623001001516-13120000078-13110010088050.41715274200629187161708028298707118564991572200.00%32293.75%11020191753.21%1045202051.73%635123451.46%171397718457531431701
17Rangers2010001045-1100000103211010000013-220.50045910629187165780282987071732323442150.00%40100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
18Red Wings311010001011-120101000710-31100000031240.66710172700629187169880282987071101392376100.00%9188.89%01020191753.21%1045202051.73%635123451.46%171397718457531431701
19Sabres2110000047-31010000016-51100000031220.5004711006291871660802829870716934455000.00%20100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
20Senateurs321000006601010000002-22200000064240.667611171062918716978028298707181251870500.00%40100.00%01020191753.21%1045202051.73%635123451.46%171397718457531431701
21Sharks413000001216-42110000089-12020000047-320.250121931006291871613280282987071153414010816531.25%150100.00%11020191753.21%1045202051.73%635123451.46%171397718457531431701
22Stars603001202128-73010011089-1302000101319-650.417212950006291871619180282987071182667815523521.74%24579.17%01020191753.21%1045202051.73%635123451.46%171397718457531431701
23Wild623010001820-231200000710-3311010001110160.500183048106291871617280282987071169695615923417.39%28485.71%21020191753.21%1045202051.73%635123451.46%171397718457531431701
Total82293307472254264-1041151604240125121441141703232129143-14920.5612544226765062918716254180282987071268997871620462183917.89%2844384.86%51020191753.21%1045202051.73%635123451.46%171397718457531431701
_Since Last GM Reset82293307472254264-1041151604240125121441141703232129143-14920.5612544226765062918716254180282987071268997871620462183917.89%2844384.86%51020191753.21%1045202051.73%635123451.46%171397718457531431701
_Vs Conference55162506440166182-1628912032208383027713032208399-16560.5091662764423062918716168680282987071176364057813991802916.11%2303983.04%51020191753.21%1045202051.73%635123451.46%171397718457531431701
_Vs Division308130333091106-151556011204445-11537022104761-14310.517911522431062918716898802829870719113413977941191613.45%1512980.79%41020191753.21%1045202051.73%635123451.46%171397718457531431701

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292W225442267625412689978716204650
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8229337472254264
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115164240125121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114173232129143
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2183917.89%2844384.86%5
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
8028298707162918716
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
1020191753.21%1045202051.73%635123451.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171397718457531431701


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
3 - 2021-10-1714Blues4Avalanche5BWSommaire du match
7 - 2021-10-2128Stars2Avalanche3BWXXSommaire du match
9 - 2021-10-2338Avalanche4Predators2AWSommaire du match
11 - 2021-10-2550Wild4Avalanche2BLSommaire du match
13 - 2021-10-2761Avalanche3Blackhawks4ALXSommaire du match
15 - 2021-10-2969Avalanche5Wild4AWXSommaire du match
16 - 2021-10-3078Avalanche2Blues5ALSommaire du match
19 - 2021-11-0292Oilers5Avalanche4BLSommaire du match
22 - 2021-11-05108Predators3Avalanche2BLSommaire du match
24 - 2021-11-07119Avalanche4Kings3AWR2Sommaire du match
27 - 2021-11-10131Blackhawks3Avalanche4BWXXSommaire du match
28 - 2021-11-11134Avalanche6Stars5AWXXSommaire du match
31 - 2021-11-14150Avalanche4Flames3AWR2Sommaire du match
33 - 2021-11-16161Kings3Avalanche1BLR2Sommaire du match
35 - 2021-11-18173Avalanche4Stars9ALSommaire du match
39 - 2021-11-22185Canucks2Avalanche5BWSommaire du match
40 - 2021-11-23195Avalanche2Wild4ALSommaire du match
43 - 2021-11-26210Canucks5Avalanche3BLSommaire du match
45 - 2021-11-28218Avalanche3Islanders5ALSommaire du match
48 - 2021-12-01232Flyers1Avalanche3BWSommaire du match
50 - 2021-12-03246Oilers3Avalanche1BLSommaire du match
52 - 2021-12-05256Avalanche2Penguins4ALSommaire du match
54 - 2021-12-07266Avalanche3Blackhawks2AWXSommaire du match
56 - 2021-12-09278Stars3Avalanche2BLXSommaire du match
58 - 2021-12-11291Avalanche2Blackhawks6ALSommaire du match
59 - 2021-12-12301Avalanche2Bruins3ALXXSommaire du match
61 - 2021-12-14309Maple Leafs3Avalanche5BWSommaire du match
64 - 2021-12-17324Avalanche7Flames6AWXXR2Sommaire du match
66 - 2021-12-19333Oilers1Avalanche5BWSommaire du match
68 - 2021-12-21343Avalanche6Capitals8ALSommaire du match
70 - 2021-12-23353Avalanche5Flyers3AWSommaire du match
72 - 2021-12-25358Avalanche1Predators2ALSommaire du match
73 - 2021-12-26364Kings3Avalanche2BLXR2Sommaire du match
76 - 2021-12-29382Capitals2Avalanche1BLSommaire du match
79 - 2022-01-01403Wild4Avalanche0BLSommaire du match
81 - 2022-01-03410Avalanche3Canadiens1AWSommaire du match
85 - 2022-01-07429Sharks5Avalanche3BLR2Sommaire du match
88 - 2022-01-10446Blackhawks2Avalanche3BWSommaire du match
90 - 2022-01-12459Avalanche6Devils5AWXXSommaire du match
92 - 2022-01-14466Avalanche2Islanders1AWSommaire du match
94 - 2022-01-16477Blackhawks1Avalanche3BWSommaire du match
96 - 2022-01-18490Avalanche3Ducks2AWXSommaire du match
98 - 2022-01-20500Blues3Avalanche4BWXSommaire du match
100 - 2022-01-22513Avalanche3Predators4ALXSommaire du match
102 - 2022-01-24523Sabres6Avalanche1BLSommaire du match
104 - 2022-01-26532Avalanche3Sharks4ALR2Sommaire du match
106 - 2022-01-28545Sharks4Avalanche5BWSommaire du match
108 - 2022-01-30556Avalanche4Maple Leafs5ALXXSommaire du match
110 - 2022-02-01570Bruins5Avalanche6BWXXSommaire du match
113 - 2022-02-04585Avalanche2Senateurs1AWSommaire du match
115 - 2022-02-06596Devils1Avalanche4BWSommaire du match
117 - 2022-02-08607Avalanche3Stars5ALSommaire du match
119 - 2022-02-10618Canadiens1Avalanche3BWSommaire du match
121 - 2022-02-12629Avalanche2Ducks3ALSommaire du match
123 - 2022-02-14640Islanders2Avalanche4BWSommaire du match
125 - 2022-02-16656Avalanche1Sharks3ALR2Sommaire du match
126 - 2022-02-17663Penguins3Avalanche5BWSommaire du match
131 - 2022-02-22684Avalanche2Oilers3ALSommaire du match
132 - 2022-02-23691Rangers2Avalanche3BWXXSommaire du match
134 - 2022-02-25706Avalanche4Senateurs3AWSommaire du match
136 - 2022-02-27714Senateurs2Avalanche0BLSommaire du match
138 - 2022-03-01731Avalanche3Red Wings1AWSommaire du match
140 - 2022-03-03739Wild2Avalanche5BWSommaire du match
143 - 2022-03-06757Avalanche4Wild2AWSommaire du match
144 - 2022-03-07761Blues5Avalanche3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2022-03-11782Ducks4Avalanche2BLSommaire du match
152 - 2022-03-15802Avalanche1Blues4ALSommaire du match
154 - 2022-03-17810Red Wings3Avalanche4BWXSommaire du match
156 - 2022-03-19823Predators4Avalanche1BLSommaire du match
157 - 2022-03-20832Avalanche3Sabres1AWSommaire du match
161 - 2022-03-24848Red Wings7Avalanche3BLSommaire du match
165 - 2022-03-28868Ducks1Avalanche2BWXSommaire du match
168 - 2022-03-31881Avalanche4Blues3AWSommaire du match
169 - 2022-04-01891Avalanche1Rangers3ALSommaire du match
171 - 2022-04-03901Stars4Avalanche3BLSommaire du match
174 - 2022-04-06916Predators1Avalanche4BWSommaire du match
177 - 2022-04-09932Avalanche3Kings2AWR2Sommaire du match
179 - 2022-04-11940Flames1Avalanche2BWXSommaire du match
181 - 2022-04-13952Avalanche2Oilers3ALSommaire du match
184 - 2022-04-16960Avalanche2Canucks5ALSommaire du match
189 - 2022-04-21974Flames1Avalanche4BWR2Sommaire du match
190 - 2022-04-22979Avalanche3Canucks1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance78,11338,302
Assistance PCT95.26%93.42%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2839 - 94.65% 121,549$4,983,527$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,001,922$ 3,264,944$ 1,849,945$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,094$ 3,206,162$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 21,282$ 21,282$




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
1Ty Rattie246115151266-611342542195512.04%138498520.2632417314433617121048.01%51.07423
2Scott Laughton242105133238-718648946074214.15%139499220.63224062982242518452.17%30.95523
3Jacob De La Rose241741422161828057951746815.81%106446718.5415415652538217554.58%00.97218
4Joseph Blandisi2417584159618448634047915.66%113406716.8816183441202619447.71%00.7801
5Nikita Gusev162528613816162102285449.56%86303218.721351839022710846.57%00.9146

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
1Anders Lindback1386642120.9003.1974898239839641684740.86537
2Anthony Stolarz1376154110.8993.30743610040940491868970.82646

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
Saison régulière
12823925024663183011741181402133146154-841211100333172147257831851283000881111111229859871041939642983997127021233267021.47%3686283.15%131207226353.34%1186232451.03%668133650.00%171895918187891453711
1582323007823288295-741191203601151143841131804222137152-159328848677412879210011269689291486249264581784621912805620.00%2685081.34%61018198051.41%1000198350.43%640123951.65%1781105017977321387688
1682283308472255266-1141151604240125121441131704232130145-15922554256805062928617254880284386272269098171620442163717.13%2844285.21%51023191253.50%1051202951.80%640124251.53%171397918447531431700
1682293307472254264-1041151604240125121441141703232129143-14922544226765062918716254180282987071268997871620462183917.89%2844384.86%51020191753.21%1045202051.73%635123451.46%171397718457531431701
Total Saison régulière32812812102420221311151126-11164675801311114547539816461630119119568587-19355111518452960112299386384561077034833627353325611007377335488404104020219.42%120419783.64%294268807252.87%4282835651.24%2583505151.14%692639667305302957032801
Séries éliminatoires
15624000002120130300000913-432100000127542135560068701945563760203759316429724.14%29582.76%110216462.20%8818547.57%5310450.96%126711275610552
Total Séries éliminatoires624000002120130300000913-432100000127542135560068701945563760203759316429724.14%29582.76%110216462.20%8818547.57%5310450.96%126711275610552

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
1Ty Rattie6729121432825.00%412120.32505901101063.64%11.4800
2Scott Laughton63471415142313.04%012020.07123600010056.60%01.1600
3Jacob De La Rose6077111122190.00%510617.68055100000055.88%01.3200
4Andrei Svechnikov6426161792020.00%210517.66000110110036.36%11.1300
5Ryan Graves604415112140.00%1114524.1702220000000.00%00.5500

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
1Anders Lindback62400.9013.35358202020374000.0000