Avalanche

GP: 78 | W: 42 | L: 29 | OTL: 7 | P: 91
GF: 257 | GA: 226 | PP%: 21.43% | PK%: 79.71%
DG: Bernard Martel | Morale : 63 | Moyenne d'Équipe : 67
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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 SP
1Brock Boeser (R)X100.006141858871889189577788595381578179750
2Riley Nash (R)X100.006941868170839577838074846669666659740
3Michael Chaput (R)X100.005937746976647070868971796870685386700
4Matt Puempel (R)X100.005138827074565689547678656872697168690
5Scott Laughton (R)X100.007344747270789867847273745757548080690
6Tanner GlassX100.007645716782697579586564656489822584680
7Chris BourqueX100.007351776571758280696261696380843182670
8Jacob De La Rose (R)X100.008142787181767064806466715467547779660
9Stephen Gionta (R)X100.00623883766058816566615971558681181650
10Michael Amadio (R)X100.006042776375689066696664675161515481640
11Jordan Szwarz (R)X100.006043736269719165536564655264525181630
12Danny O'Regan (R)X100.005642786363739963696660635160515519620
13Steven Fogarty (R)X100.006842746082589255675556605056506319590
14Owen Tippett (R)X100.005540826676724156505656605064508820570
15Yannick WeberX100.006728936375757994538878826682786684740
16Joel Edmundson (R)X100.007444817084858575306876835870587182730
17Griffin Reinhart (R)X100.009750746778807882256357755370665165710
18Keith Aulie (R)X100.007841786393767772486656705473723457690
19Philip Samuelsson (R)X100.007477676477788282255262646267765281670
20Victor Antipin (R)X100.005942856862777173307065625262514283640
21Brett CarsonX100.006027996380626644244344735099956020630
22Tim Erixon (R)X100.005423996875657053516752646176755920630
23Viktor Svedberg (R)X100.005739946085717556255051675065654719620
24Dillon Simpson (R)X100.004228836375454142303537664864537120530
Rayé
MOYENNE D'ÉQUIPE100.00654181687571776954656369577165566066
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Anders Lindback100.00667592828093939393828597994781840
2Matt Hackett (R)100.00737372757385858787757979794382770
Rayé
1Kristers Gudlevskis (R)100.00697370787279838584707574666620740
2Anthony Stolarz (R)100.00615573847368717371676068537920670
MOYENNE D'ÉQUIPE100.0067697780758183858474758074595176
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bryan Trottier57476162787363CAN612500,000$


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'ÉquipePOS GP 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
1Brock BoeserAvalanche (COL)RW7858561142530014816037412123815.51%28172022.0617284587289000729810642.14%3379231121.33070001283
2Riley NashAvalanche (COL)C77236184193201612202127613710.85%40159320.699324129276101101927153.80%18702723111.0518000439
3Cory ConacherAvalancheLW77304070-3080961072736914810.99%38148719.321419334220111261833243.58%3584721110.94618000265
4Matt PuempelAvalanche (COL)RW76303767153515108100322851679.32%22130617.198715322050225574142.22%906426001.0311021248
5Michael ChaputAvalanche (COL)C78182745666015322018853959.57%54145018.593471510800021174052.92%13702728000.6211000344
6Scott LaughtonAvalanche (COL)LW78221840231015160117147407814.97%36135017.314610112130001455137.35%832222000.5912010045
7Yannick WeberAvalanche (COL)D7892332-7408113613340466.77%81161220.677613252790001141200.00%02953000.4000000103
8Jacob De La RoseAvalanche (COL)C7892231257515113388275210.23%25115114.7726871060001902150.44%10251721000.5400000112
9Tanner GlassAvalanche (COL)LW78161531-46210101921555712410.32%1692711.891011191012371145.00%802919000.6700101101
10Joel EdmundsonAvalanche (COL)D7872229262017913011753525.98%101192124.645611273090001295210.00%02861000.3000000202
11Griffin ReinhartAvalanche (COL)D78417212086101521427730395.19%81162920.8922481890005193010.00%01338000.2600002011
12Stephen GiontaAvalanche (COL)RW78911207140778612737887.09%1988011.28000130002112044.12%342920000.4511000111
13Chris BourqueAvalanche (COL)LW7871219-10295645711341576.19%125977.661011140000132154.55%22186000.6400001210
14Michael AmadioAvalanche (COL)C7861117-126049918023367.50%177129.130001110000110049.64%421613000.4800000010
15Keith AulieAvalanche (COL)D7131215-35201411006018295.00%68146520.6412341430000192000.00%0735000.2000000100
16Victor AntipinAvalanche (COL)D77210121815548825021164.00%66117615.27000027011179000.00%01840000.2000001001
17Philip SamuelssonAvalanche (COL)D784812118610121935517257.27%60121315.55112122000048000.00%0930000.2000110001
18Jordan SzwarzAvalanche (COL)RW78145-1512050364514312.22%145577.1500006000000066.67%657000.1800000000
19Danny O'ReganAvalanche (COL)C36303-86013272671111.54%52547.0800000000000041.84%9802000.2400000000
20Steven FogartyAvalanche (COL)RW27011200623210.00%2491.8200007000000042.86%2102000.4100000000
21Viktor SvedbergAvalanche (COL)D2000200042000.00%03316.920000000001000.00%003000.0000000000
22Owen TippettAvalanche (COL)RW23000-300200000.00%0160.730000500000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1480261407668717836520612135264783114709.86%7852310815.61751191942922442347442014441650.57%5816487501340.581138246323446
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
1Matt HackettAvalanche (COL)54291660.9202.613152401371702821310.737195127553
2Anders LindbackAvalanche (COL)29131310.9073.2515692085916421300.25042751222
Stats d'équipe Total ou en Moyenne83422970.9152.8247216022226181242610.652237878775


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anders LindbackAvalanche (COL)G301988-05-03 17:11:14No210 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm2,450,000$0$0$No
Anthony StolarzAvalanche (COL)G251994-01-20 03:19:46Yes212 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm725,000$0$0$No
Brett CarsonAvalanche (COL)D331985-11-29 11:11:13No220 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm575,000$0$0$No
Brock BoeserAvalanche (COL)RW221997-02-25 03:21:57Yes191 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No
Chris BourqueAvalanche (COL)LW331986-01-29 17:11:13No188 Lbs5 ft8NoNoNo2Sans RestrictionPro & Farm800,000$0$0$No
Danny O'ReganAvalanche (COL)C251994-01-30 04:20:38Yes183 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm858,750$0$0$No
Dillon SimpsonAvalanche (COL)D261993-02-10 03:23:58Yes195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm675,000$0$0$No
Griffin ReinhartAvalanche (COL)D251994-01-24 17:11:13Yes211 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm1,250,000$0$0$No
Jacob De La RoseAvalanche (COL)C231995-05-20 23:11:13Yes210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm600,000$0$0$No
Joel EdmundsonAvalanche (COL)D251993-06-28 04:30:16Yes215 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm925,000$0$0$No
Jordan SzwarzAvalanche (COL)RW271991-05-14 23:11:13Yes201 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm575,000$0$0$No
Keith AulieAvalanche (COL)D291989-07-11 05:11:13Yes221 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm575,000$0$0$No
Kristers GudlevskisAvalanche (COL)G261992-07-31 05:11:14Yes192 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm615,000$0$0$No
Matt HackettAvalanche (COL)G291990-03-07 17:11:14Yes181 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Matt PuempelAvalanche (COL)RW261993-01-24 11:11:13Yes205 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm900,000$0$0$No
Michael AmadioAvalanche (COL)C221996-05-13 13:41:42Yes204 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm925,000$0$0$No
Michael ChaputAvalanche (COL)C271992-04-09 05:11:13Yes204 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Owen TippettAvalanche (COL)RW201999-02-16 13:39:45Yes200 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm1,757,500$0$0$No
Philip SamuelssonAvalanche (COL)D271991-07-26 23:11:13Yes202 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm600,000$0$0$No
Riley NashAvalanche (COL)C291989-05-09 11:11:13Yes190 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Scott LaughtonAvalanche (COL)LW241994-05-30 17:11:13Yes190 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm900,000$0$0$No
Stephen GiontaAvalanche (COL)RW351983-10-09 23:11:13Yes190 Lbs5 ft7NoNoNo2Sans RestrictionPro & Farm575,000$0$0$No
Steven FogartyAvalanche (COL)RW261993-04-19 13:46:11Yes194 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm750,000$0$0$No
Tanner GlassAvalanche (COL)LW351983-11-29 23:11:13No212 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Tim ErixonAvalanche (COL)D281991-02-24 23:11:13Yes199 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm575,000$0$0$No
Victor AntipinAvalanche (COL)D261992-12-06 02:24:53Yes175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm575,000$0$0$No
Viktor SvedbergAvalanche (COL)D271991-05-24 04:12:08Yes239 Lbs6 ft8NoNoNo1Avec RestrictionPro & Farm575,000$0$0$No
Yannick WeberAvalanche (COL)D301988-09-23 23:11:13No202 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm1,850,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2827.14201 Lbs6 ft22.11901,116$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChris BourqueJordan Szwarz35122
2Scott LaughtonMichael ChaputMatt Puempel35122
3Tanner GlassJacob De La RoseStephen Gionta25122
4Chris BourqueMichael AmadioJordan Szwarz5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim ErixonJoel Edmundson35122
2Griffin ReinhartKeith Aulie35122
3Philip SamuelssonVictor Antipin30122
4Griffin ReinhartJoel Edmundson0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tanner GlassChris BourqueJacob De La Rose60122
2Scott LaughtonMichael ChaputMatt Puempel40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philip SamuelssonJoel Edmundson60122
2Griffin ReinhartKeith Aulie40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonMatt Puempel60122
2Chris BourqueMichael Chaput40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor AntipinJoel Edmundson60122
2Griffin ReinhartKeith Aulie40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Chaput60122Victor AntipinJoel Edmundson60122
2Scott Laughton40122Griffin ReinhartKeith Aulie40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonMatt Puempel60122
2Tanner GlassMichael Chaput40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philip SamuelssonJoel Edmundson60122
2Griffin ReinhartKeith Aulie40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott LaughtonMichael ChaputMatt PuempelGriffin ReinhartJoel Edmundson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott LaughtonMichael ChaputMatt PuempelGriffin ReinhartJoel Edmundson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Glass, Chris Bourque, Jacob De La RoseTanner Glass, Chris BourqueJacob De La Rose
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Philip Samuelsson, Victor Antipin, Griffin ReinhartPhilip SamuelssonVictor Antipin, Griffin Reinhart
Tirs de Pénalité
Matt Puempel, Chris Bourque, Jacob De La Rose, Michael Chaput, Scott Laughton
Gardien
#1 : Matt Hackett, #2 : Anders Lindback


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
LigueDomicileVisiteur
# 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
1Blackhawks64200000161333300000083531200000810-280.667162642007784881317490683885851184678515234617.65%35877.14%01059202352.35%960198848.29%610113053.98%170297916827211344672
2Blues6320001022193320000101055312000001214-280.667223557007784881320490683885851205768116839820.51%38781.58%01059202352.35%960198848.29%610113053.98%170297916827211344672
3Bruins21001000624100010002111100000041341.000611170077848813839068388585167148427114.29%40100.00%01059202352.35%960198848.29%610113053.98%170297916827211344672
4Canadiens2010010057-21000010023-11010000034-110.2505101500778488136590683885851802318568337.50%9188.89%01059202352.35%960198848.29%610113053.98%170297916827211344672
5Canucks4210001016972010001067-122000000102860.75016233910778488131179068388585111739219817423.53%8187.50%01059202352.35%960198848.29%610113053.98%170297916827211344672
6Capitals21100000871110000006151010000026-420.500812200077848813799068388585170251644300.00%8187.50%11059202352.35%960198848.29%610113053.98%170297916827211344672
7Devils2020000046-21010000012-11010000034-100.000471100778488135790683885851631818505240.00%9366.67%01059202352.35%960198848.29%610113053.98%170297916827211344672
8Ducks4110100111922010000146-22100100073450.6251118290077848813143906838858511204528991119.09%14285.71%01059202352.35%960198848.29%610113053.98%170297916827211344672
9Flames413000001316-32110000055020200000811-320.25013243700778488131489068388585114530268813215.38%12466.67%01059202352.35%960198848.29%610113053.98%170297916827211344672
10Flyers2110000056-11010000024-21100000032120.500581300778488136290683885851661914516116.67%7185.71%01059202352.35%960198848.29%610113053.98%170297916827211344672
11Islanders21000100752110000004131000010034-130.7507121900778488137490683885851632712649333.33%60100.00%01059202352.35%960198848.29%610113053.98%170297916827211344672
12Kings430000101971222000000144102100001053281.000192746007784881312590683885851138373210520210.00%17570.59%01059202352.35%960198848.29%610113053.98%170297916827211344672
13Maple Leafs211000009811010000035-21100000063320.5009162500778488138090683885851662710476350.00%5260.00%01059202352.35%960198848.29%610113053.98%170297916827211344672
14Oilers4210000112120210000015502110000077050.625122032007784881314590683885851146472410815426.67%12466.67%01059202352.35%960198848.29%610113053.98%170297916827211344672
15Penguins2110000068-2110000005141010000017-620.5006121800778488136590683885851722816434125.00%8275.00%01059202352.35%960198848.29%610113053.98%170297916827211344672
16Predators6320001023158321000001156311000101210280.6672337600077848813200906838858512005399178451226.67%32487.50%01059202352.35%960198848.29%610113053.98%170297916827211344672
17Rangers22000000844110000004221100000042241.0008162400778488135890683885851811710448112.50%4250.00%01059202352.35%960198848.29%610113053.98%170297916827211344672
18Red Wings2010010024-21010000012-11000010012-110.2502460077848813809068388585164264494125.00%20100.00%01059202352.35%960198848.29%610113053.98%170297916827211344672
19Sabres2110000056-11010000013-21100000043120.500591400778488137090683885851612022609222.22%11463.64%01059202352.35%960198848.29%610113053.98%170297916827211344672
20Senateurs2020000048-41010000014-31010000034-100.000471100778488136490683885851842216584125.00%8362.50%01059202352.35%960198848.29%610113053.98%170297916827211344672
21Sharks4200100114104220000008442000100166070.875142539007784881312990683885851133446513514428.57%30486.67%11059202352.35%960198848.29%610113053.98%170297916827211344672
22Stars613011002425-1311001001091302010001416-250.417244064007784881321390683885851202616815532515.63%34779.41%01059202352.35%960198848.29%610113053.98%170297916827211344672
Total783429044432572263139211101222123873639131803221134139-5910.5832574336901077848813262990683885851261980878520653367221.43%3507179.71%21059202352.35%960198848.29%610113053.98%170297916827211344672
24Wild633000001820-233000000105530300000815-760.500183452007784881319490683885851192439217123521.74%37683.78%01059202352.35%960198848.29%610113053.98%170297916827211344672
_Since Last GM Reset783429044432572263139211101222123873639131803221134139-5910.5832574336901077848813262990683885851261980878520653367221.43%3507179.71%21059202352.35%960198848.29%610113053.98%170297916827211344672
_Vs Conference54251803143188155332717500122915833278130302197970680.6301883094971077848813179290683885851178254262114572635320.15%2695280.67%11059202352.35%960198848.29%610113053.98%170297916827211344672
_Vs Division301412011201039211151120011049272215310010105465-11350.5831031722750077848813985906838858519833004258241733620.81%1763281.82%01059202352.35%960198848.29%610113053.98%170297916827211344672

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7891W425743369026292619808785206510
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7834294443257226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
392111122212387
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3913183221134139
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3367221.43%3507179.71%2
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
9068388585177848813
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
1059202352.35%960198848.29%610113053.98%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
170297916827211344672


Derniers Match 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 - 2018-09-308Predators2Avalanche1LSommaire du Match
5 - 2018-10-0319Avalanche4Wild5LSommaire du Match
7 - 2018-10-0532Blues1Avalanche3WSommaire du Match
11 - 2018-10-0950Stars3Avalanche2LXSommaire du Match
15 - 2018-10-1367Avalanche4Stars6LSommaire du Match
16 - 2018-10-1476Avalanche2Blackhawks4LSommaire du Match
18 - 2018-10-1685Blackhawks1Avalanche2WSommaire du Match
21 - 2018-10-19101Wild1Avalanche3WSommaire du Match
23 - 2018-10-21111Avalanche3Blues5LSommaire du Match
25 - 2018-10-23123Predators2Avalanche4WSommaire du Match
27 - 2018-10-25134Avalanche1Predators4LSommaire du Match
29 - 2018-10-27145Blues3Avalanche4WXXSommaire du Match
31 - 2018-10-29149Avalanche4Sharks3WXR3Sommaire du Match
34 - 2018-11-01165Avalanche3Wild5LSommaire du Match
36 - 2018-11-03176Avalanche7Blues4WSommaire du Match
37 - 2018-11-04188Senateurs4Avalanche1LSommaire du Match
40 - 2018-11-07201Avalanche3Oilers2WSommaire du Match
42 - 2018-11-09210Maple Leafs5Avalanche3LSommaire du Match
44 - 2018-11-11222Avalanche5Flames6LSommaire du Match
47 - 2018-11-14233Avalanche3Canadiens4LSommaire du Match
49 - 2018-11-16239Ducks2Avalanche1LSommaire du Match
51 - 2018-11-18253Capitals1Avalanche6WSommaire du Match
54 - 2018-11-21266Avalanche3Islanders4LXSommaire du Match
57 - 2018-11-24280Canadiens3Avalanche2LXSommaire du Match
60 - 2018-11-27296Avalanche4Bruins1WSommaire du Match
62 - 2018-11-29307Rangers2Avalanche4WSommaire du Match
64 - 2018-12-01320Avalanche4Blackhawks2WSommaire du Match
66 - 2018-12-03328Sharks2Avalanche4WR3Sommaire du Match
68 - 2018-12-05336Avalanche2Sharks3LXXSommaire du Match
70 - 2018-12-07349Predators1Avalanche6WSommaire du Match
73 - 2018-12-10364Avalanche5Ducks2WSommaire du Match
75 - 2018-12-12374Avalanche6Maple Leafs3WSommaire du Match
76 - 2018-12-13381Blackhawks1Avalanche2WSommaire du Match
79 - 2018-12-16395Avalanche3Flyers2WSommaire du Match
80 - 2018-12-17404Sharks2Avalanche4WR3Sommaire du Match
82 - 2018-12-19417Avalanche1Red Wings2LXSommaire du Match
84 - 2018-12-21428Flyers4Avalanche2LSommaire du Match
87 - 2018-12-24444Avalanche4Oilers5LSommaire du Match
88 - 2018-12-25452Sabres3Avalanche1LSommaire du Match
91 - 2018-12-28470Kings2Avalanche8WSommaire du Match
92 - 2018-12-29478Avalanche1Wild5LSommaire du Match
95 - 2019-01-01494Oilers2Avalanche3WSommaire du Match
97 - 2019-01-03506Avalanche2Capitals6LSommaire du Match
99 - 2019-01-05516Blackhawks1Avalanche4WSommaire du Match
101 - 2019-01-07529Avalanche2Blues5LSommaire du Match
103 - 2019-01-09540Avalanche4Sabres3WSommaire du Match
104 - 2019-01-10546Devils2Avalanche1LSommaire du Match
107 - 2019-01-13564Avalanche3Kings2WSommaire du Match
108 - 2019-01-14572Stars4Avalanche3LSommaire du Match
112 - 2019-01-18590Flames3Avalanche4WSommaire du Match
114 - 2019-01-20602Avalanche3Senateurs4LSommaire du Match
118 - 2019-01-24614Flames2Avalanche1LSommaire du Match
120 - 2019-01-26624Avalanche1Penguins7LSommaire du Match
122 - 2019-01-28638Kings2Avalanche6WSommaire du Match
125 - 2019-01-31653Avalanche6Stars5WXSommaire du Match
127 - 2019-02-02663Stars2Avalanche5WSommaire du Match
129 - 2019-02-04672Avalanche4Rangers2WSommaire du Match
131 - 2019-02-06685Avalanche2Blackhawks4LSommaire du Match
133 - 2019-02-08691Ducks4Avalanche3LXXSommaire du Match
135 - 2019-02-10700Avalanche4Stars5LSommaire du Match
137 - 2019-02-12708Avalanche6Canucks1WSommaire du Match
139 - 2019-02-14716Blues1Avalanche3WSommaire du Match
141 - 2019-02-16725Avalanche2Ducks1WXSommaire du Match
143 - 2019-02-18732Avalanche6Predators2WSommaire du Match
145 - 2019-02-20744Islanders1Avalanche4WSommaire du Match
148 - 2019-02-23757Avalanche4Canucks1WSommaire du Match
149 - 2019-02-24765Oilers3Avalanche2LXXSommaire du Match
152 - 2019-02-27780Avalanche3Flames5LSommaire du Match
155 - 2019-03-02792Penguins1Avalanche5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
158 - 2019-03-05812Avalanche2Kings1WXXSommaire du Match
159 - 2019-03-06816Canucks5Avalanche3LSommaire du Match
162 - 2019-03-09831Avalanche3Devils4LSommaire du Match
164 - 2019-03-11840Canucks2Avalanche3WXXSommaire du Match
167 - 2019-03-14862Red Wings2Avalanche1LSommaire du Match
173 - 2019-03-20885Wild1Avalanche3WSommaire du Match
177 - 2019-03-24902Bruins1Avalanche2WXSommaire du Match
179 - 2019-03-26912Avalanche5Predators4WXXSommaire du Match
182 - 2019-03-29926Wild3Avalanche4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance63,10232,100
Assistance PCT80.90%82.31%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2441 - 81.37% 69,423$2,707,512$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,092,059$ 2,523,125$ 1,156,625$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
13,639$ 2,592,015$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 16,341$ 0$




LigueDomicileVisiteur
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
13783429044432572263139211101222123873639131803221134139-5912574336901077848813262990683885851261980878520653367221.43%3507179.71%21059202352.35%960198848.29%610113053.98%170297916827211344672
Total Saison Régulière783429044432572263139211101222123873639131803221134139-5912574336901077848813262990683885851261980878520653367221.43%3507179.71%21059202352.35%960198848.29%610113053.98%170297916827211344672