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The Chongqing Major Qualifiers

Dota 2 Pro Circuit Major Qualifiers (Season 2018-2019)

Median hero picks: 13

US East ☰ | Europe West ☰ | Southeast Asia ☰ | South America ☰ | China ☰

Highest averages | Draft | Positions ☰ | Summary | Cards

Remove low matches (9) Remove low Core Safelane (3) Remove low Core Midlane (4) Remove low Core Offlane (3) Remove low Core Jungle (1) data_filter_positions_0.0_mp

		Core Safelane				Core Midlane				Core Offlane				Core Jungle				Support
Player	Mtchs	Mtchs	Rank	Ratio	WR	Mtchs	Rank	Ratio	WR	Mtchs	Rank	Ratio	WR	Mtchs	Rank	Ratio	WR	Mtchs	Rank	Ratio	WR
Mineski.iii Really Don't CarE -	14	9	84.2	64.3%	44.4%	-	-	-	-	2	90.0	14.3%	100.0%	1	100.0	7.1%	0.0%	2	25.0	14.3%	50.0%
Mineski.Febbyâ™¥é‡‘ä½³æšŽ -	14	-	-	-	-	-	-	-	-	2	45.0	14.3%	50.0%	-	-	-	-	12	70.0	85.7%	50.0%
Mineski.Moonn -	14	1	57.9	7.1%	100.0%	13	80.0	92.9%	46.2%	-	-	-	-	-	-	-	-	-	-	-	-
Mineski.kpii -	14	3	73.7	21.4%	66.7%	1	66.7	7.1%	100.0%	10	75.0	71.4%	40.0%	-	-	-	-	-	-	-	-
Mineski.pieliedie -	14	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	14	80.0	100.0%	50.0%
TNC.Gabbi -	13	9	94.7	69.2%	77.8%	-	-	-	-	4	65.0	30.8%	50.0%	-	-	-	-	-	-	-	-
TNC.Tims -	13	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	13	90.0	100.0%	69.2%
TNC.Kuku^ -	13	4	68.4	30.8%	50.0%	-	-	-	-	9	95.0	69.2%	77.8%	-	-	-	-	-	-	-	-
TNC.ninjaboogie -	13	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	13	90.0	100.0%	69.2%
TNC.ARMEL -	13	-	-	-	-	13	93.3	100.0%	69.2%	-	-	-	-	-	-	-	-	-	-	-	-
BOOM.Gukguk -	11	-	-	-	-	-	-	-	-	2	45.0	18.2%	50.0%	-	-	-	-	9	45.0	81.8%	33.3%
BOOM.Randy d'saviour -	11	3	42.1	27.3%	33.3%	-	-	-	-	8	70.0	72.7%	37.5%	-	-	-	-	-	-	-	-
BOOM.Miserable -	11	2	47.4	18.2%	50.0%	9	73.3	81.8%	33.3%	-	-	-	-	-	-	-	-	-	-	-	-
BOOM.Khezcute -	11	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	11	65.0	100.0%	36.4%
BOOM.Fervian -	11	6	52.6	54.5%	33.3%	2	40.0	18.2%	50.0%	3	35.0	27.3%	33.3%	-	-	-	-	-	-	-	-
Fnatic.JAbz -	9	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	9	100.0	100.0%	88.9%
Fnatic.DJ -	9	-	-	-	-	-	-	-	-	2	90.0	22.2%	100.0%	-	-	-	-	7	95.0	77.8%	85.7%
Fnatic.iceiceice -	9	-	-	-	-	-	-	-	-	7	100.0	77.8%	85.7%	-	-	-	-	2	75.0	22.2%	100.0%
Fnatic.MP -	9	9	100.0	100.0%	88.9%	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Fnatic.Abed -	9	-	-	-	-	9	100.0	100.0%	88.9%	-	-	-	-	-	-	-	-	-	-	-	-
LOTAC.Raven -	8	6	78.9	75.0%	50.0%	-	-	-	-	2	20.0	25.0%	0.0%	-	-	-	-	-	-	-	-
LOTAC.Ohaiyo -	8	1	21.1	12.5%	0.0%	1	66.7	12.5%	100.0%	5	50.0	62.5%	40.0%	-	-	-	-	1	5.0	12.5%	0.0%
LOTAC.Net -	8	1	21.1	12.5%	0.0%	-	-	-	-	-	-	-	-	-	-	-	-	7	60.0	87.5%	42.9%
LOTAC.ChYuaN -	8	-	-	-	-	7	46.7	87.5%	28.6%	1	60.0	12.5%	100.0%	-	-	-	-	-	-	-	-
Tigers.k`wonderkid -	7	-	-	-	-	3	26.7	42.9%	0.0%	4	80.0	57.1%	75.0%	-	-	-	-	-	-	-	-
Tigers.AhJit -	7	2	36.8	28.6%	0.0%	4	86.7	57.1%	75.0%	1	10.0	14.3%	0.0%	-	-	-	-	-	-	-	-
Tigers.Xepher -	7	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	7	60.0	100.0%	42.9%
Tigers.1437 -	7	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	7	60.0	100.0%	42.9%
Tigers.MoonMeander -	7	5	89.5	71.4%	60.0%	-	-	-	-	2	20.0	28.6%	0.0%	-	-	-	-	-	-	-	-
496.458 -	6	1	21.1	16.7%	0.0%	4	33.3	66.7%	25.0%	1	60.0	16.7%	100.0%	-	-	-	-	-	-	-	-
496.Oww -	6	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	6	35.0	100.0%	33.3%
496.åƒé‡Œä¹‹å¤– -	6	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	6	35.0	100.0%	33.3%
496.Red -	6	4	68.4	66.7%	50.0%	1	6.7	16.7%	0.0%	1	10.0	16.7%	0.0%	-	-	-	-	-	-	-	-
496.Lis : Mid or 2 Mid -	6	1	21.1	16.7%	0.0%	1	66.7	16.7%	100.0%	4	30.0	66.7%	25.0%	-	-	-	-	-	-	-	-
LOTAC.YamateH -	5	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	5	40.0	100.0%	40.0%
WG.Unity.Zet. -	4	2	36.8	50.0%	0.0%	2	20.0	50.0%	0.0%	-	-	-	-	-	-	-	-	-	-	-	-
WG.Unity.NothingToSay -	4	2	36.8	50.0%	0.0%	2	20.0	50.0%	0.0%	-	-	-	-	-	-	-	-	-	-	-	-
WG.Unity.KANG -	4	-	-	-	-	-	-	-	-	4	25.0	100.0%	0.0%	-	-	-	-	-	-	-	-
WG.Unity.Kaiguizy -	4	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	4	15.0	100.0%	0.0%
WG.Unity.felixciaoba -	4	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	4	15.0	100.0%	0.0%
LOTAC.9420 -	3	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	3	20.0	100.0%	33.3%

This section contains stats for players' performance on various positions. Positions are determined based on players performance (core or support) and lane. Supports across all lanes (including roamers) are considered as one role. Lanes and positions may not be accurate.