Who is ranked #1 in Jungle 2025?

The overall #1 in Jungle 2025 is Oner, averaging 89.

How many are compared in Jungle 2025?

61 entries compared across 6 stats including Mechanics, Laning, Teamfighting.

How are these scores calculated?

Each axis is a percentile within this ranking, averaged from measured match metrics, with sample shrinkage and — for international events — anchoring to the major-league distribution and a strength-of-schedule adjustment. A rank is not a raw metric; the full method is at everystat.ai/clusters/method.

Jungle 2025

Name: LoL Jungle 2025
Creator: everystat
License: https://everystat.ai/about#data-use

61 members·6 stats

League

LCK

LPL

LEC

EWC

LCP

PCS

VCS

Worlds

MSI

PositionADCMid Support Top

Season20142016 2017 2018 2019 2020 2021 2022 2023 20242026

Ranking — Overall

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Ratings update after every match — follow @everystat_ai See all updates →

#	Name	League
1	Oner	LCK	89	89	89	83	85	94	91
2	Kanavi	LPL	86	88	80	86	79	85	100
3	Tarzan	LPL	86	83	86	82	82	89	94
4	Cuzz	LCK	85	84	90	84	91	88	75
5	Canyon	LCK	84	74	87	65	86	98	96
6	Lucid	LCK	84	69	86	75	90	84	98
7	Jiejie	LPL	83	79	79	82	80	85	91
8	SkewMond	LEC	80	71	86	64	79	91	88
9	Tian	LPL	80	79	79	79	82	76	83
10	Wei	LPL	80	70	77	74	82	82	97
11	XUN	LPL	80	74	77	76	71	88	92
12	Xiaohao	LPL	80	74	82	79	80	88	74
13	naiyou	LPL	80	74	77	77	82	85	82
14	Beichuan	LPL	80	83	77	77	71	84	90
15	Peanut	LCK	78	66	71	68	80	89	92
16	Monki	LPL	75	78	75	83	72	68	71
17	Raptor	LCK	72	77	65	78	69	72	68
18	Climber	LPL	72	66	71	74	72	75	72
19	Razork	LEC	71	70	74	68	70	76	68
20	Shad0w	LPL	71	74	74	77	72	65	66
21	AKi	LPL	70	63	75	69	70	66	78
22	Pop9	PCS	69	73	78	55	63	67	78
23	Elyoya	LEC	68	56	56	59	70	83	82
24	Croco	LCK	68	71	71	73	68	68	55
25	JunJia	LCP	66	54	72	43	75	79	75
26	Sponge	LCK	66	71	62	75	71	62	56
27	Isma	LEC	63	55	73	61	67	67	54
28	Yike	LEC	63	55	52	55	55	82	76
29	GIDEON	LCK	62	58	64	65	73	59	53
30	Hizto	LCP	60	50	68	48	60	62	69
31	Pyosik	LCK	59	54	59	66	69	60	47
32	Sheo	LEC	57	62	65	57	53	57	50
33	Lyncas	LEC	56	48	57	54	57	68	53
34	Gury	LCP	56	44	64	46	64	58	58
35	Draktharr	VCS	56	65	65	46	56	49	52
36	Tomrio	VCS	54	54	51	43	57	64	55
37	Gemini	PCS	54	49	45	45	51	69	66
38	Liweier	PCS	54	62	63	44	48	50	54
39	HuSha	PCS	54	57	47	50	53	63	54
40	Yusah	VCS	53	49	43	52	52	61	59
41	Xin	PCS	53	64	65	49	52	44	43
42	113	LEC	52	55	59	56	52	49	41
43	Dinai	PCS	52	52	65	52	55	47	43
44	Karsa	LCP	50	43	47	47	55	53	53
45	Levi	LCP	49	40	48	49	48	60	51
46	RenYe	PCS	48	59	42	50	39	51	48
47	Phuc1	VCS	47	44	60	36	57	39	48
48	L Listo	PCS	47	53	55	49	50	38	38
49	Boukada	LEC	46	40	42	51	45	49	51
50	Malrang	LEC	46	40	42	51	55	46	40
51	SanSan	VCS	44	48	42	42	44	48	41
52	P9	VCS	42	50	44	45	42	38	30
53	Kheng	VCS	40	50	44	46	37	34	31
54	Yohan	LCP	39	44	39	45	38	39	26
55	Bojji1	VCS	39	45	40	45	37	40	28
56	Citrus	LCP	38	41	31	38	43	38	35
57	Guwon	LCP	37	37	34	46	31	36	·
58	tiphat	VCS	36	43	31	43	34	31	33
59	Whynot	LCP	35	35	32	41	36	35	32
60	Courage	LCP	33	33	29	39	33	32	30
61	HotPot	PCS	33	45	27	37	36	27	27

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Axis leaders · records

MechanicsOner LaningCuzz TeamfightingKanavi MacroCuzz ConsistencyCanyon VersatilityKanavi All records →

Champion per stat

Overall distribution (61 members)mean 61·median 59

3389

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Jungle 2025 ranking at a glance

Jungle 2025 compares 61 members across 6 stats including Mechanics, Laning, Teamfighting. The overall top is Oner, with an average of 89. In Mechanics, Oner ranks highest. The overall average here is 61, ranging from 89 down to 33.

Frequently asked questions

Who is ranked #1 in Jungle 2025?: The overall #1 in Jungle 2025 is Oner, averaging 89.
How many are compared in Jungle 2025?: 61 entries compared across 6 stats including Mechanics, Laning, Teamfighting.
Who leads in Mechanics?: Oner leads in Mechanics.
How are these scores calculated?: Each axis is a percentile within this ranking, averaged from measured match metrics, with sample shrinkage and — for international events — anchoring to the major-league distribution and a strength-of-schedule adjustment. A rank is not a raw metric; the full method is at everystat.ai/clusters/method.

How the six-axis ratings work →