Which teammates work best with Jax?

No duo separates cleanly for Jax on patch 16.14: every measured delta's 95% range covers zero. The best so far is Nami, at +3.9 wins per 100 games vs Jax's own average (range -2.2 to 10.0) · 94 games · Pooled · 68% of this is borrowed from similar champions. The delta is against Jax's own average, because playing beside a strong champion is not synergy.

Jax synergies, patch 16.14

2,071 games of Jax top recorded on patch 16.14. 67 teammates cleared the 50 game pair floor; 104 more sit under it.

Win rate

48.3% of top games this patch

Best teammate

+3.9 wins per 100 games vs Jax's own average, beside Nami

Worst teammate

-2.7 wins per 100 games vs Jax's own average, beside Yone

Teammates measured

67 104 more under the pair floor

Patch 16.14 · Jax top

Jax measures best beside Nami in support, and worst beside Yone.

Beside Nami, Jax's win rate moves by +3.9 wins per 100 games (range -2.2 to 10.0) 94 games Pooled against Jax's own average.

Beside Yone: -2.7 wins per 100 games (range -8.9 to 3.5) 82 games Pooled .

The number is a delta against Jax's own average, because a high win rate beside a strong champion is that champion's strength, not the duo's.

Who does Jax work with?

Delta in wins per 100 games against Jax's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 8.9 wins per 100 games below Jax's own average on the left to 10.0 above it on the right. The tick is our estimate, the short line is zero, and a hatched bar is one whose range covers zero or spans most of the scale: those games do not pin the pair down.

Nami: +3.9 wins per 100 games (range -2.2 to 10.0) · 94 games · Pooled · 68% of this is borrowed from similar champions
Sylas: +3.8 wins per 100 games (range -1.4 to 9.0) · 227 games · Pooled · 47% of this is borrowed from similar champions
Wukong: +3.0 wins per 100 games (range -3.3 to 9.4) · 68 games · Pooled · 75% of this is borrowed from similar champions
Rell: +2.9 wins per 100 games (range -3.6 to 9.4) · 57 games · Pooled · 78% of this is borrowed from similar champions
Nautilus: +2.3 wins per 100 games (range -3.5 to 8.1) · 129 games · Pooled · 61% of this is borrowed from similar champions
Jinx: +2.1 wins per 100 games (range -4.4 to 8.6) · 53 games · Pooled · 79% of this is borrowed from similar champions
Vladimir: +2.1 wins per 100 games (range -4.3 to 8.5) · 63 games · Pooled · 76% of this is borrowed from similar champions
Talon: +2.1 wins per 100 games (range -4.2 to 8.4) · 71 games · Pooled · 74% of this is borrowed from similar champions

Every measured Jax duo

67 teammates, best measured delta first. The table scrolls sideways inside this card on a narrow screen.

**Jax top teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Jax and the teammate shared, minus Jax's own top average, in wins per 100 games, all Pooled. Bars share one scale, 8.9 wins per 100 games below Jax's own average to 10.0 above it; hatched when the range covers zero. 108,616 ranked games from EUW, Korea and NA, found by following Diamond players and the people they play with.
#	teammate	their role	games	vs Jax's average	verdict
1	Nami	support in 94 games	94	+3.9 wins per 100 games (range -2.2 to 10.0) · 94 games · Pooled · 68% of this is borrowed from similar champions	too close
2	Sylas	jungle in 104 games	227	+3.8 wins per 100 games (range -1.4 to 9.0) · 227 games · Pooled · 47% of this is borrowed from similar champions	too close
3	Wukong	jungle in 67 games	68	+3.0 wins per 100 games (range -3.3 to 9.4) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
4	Rell	support in 57 games	57	+2.9 wins per 100 games (range -3.6 to 9.4) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
5	Nautilus	support in 127 games	129	+2.3 wins per 100 games (range -3.5 to 8.1) · 129 games · Pooled · 61% of this is borrowed from similar champions	too close
6	Jinx	bot in 53 games	53	+2.1 wins per 100 games (range -4.4 to 8.6) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
7	Vladimir	mid in 44 games	63	+2.1 wins per 100 games (range -4.3 to 8.5) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
8	Talon	jungle in 48 games	71	+2.1 wins per 100 games (range -4.2 to 8.4) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
9	Graves	jungle in 91 games	92	+1.6 wins per 100 games (range -4.6 to 7.7) · 92 games · Pooled · 68% of this is borrowed from similar champions	too close
10	Viego	jungle in 84 games	85	+1.4 wins per 100 games (range -4.8 to 7.6) · 85 games · Pooled · 70% of this is borrowed from similar champions	too close
11	Hecarim	jungle in 73 games	73	+1.4 wins per 100 games (range -4.9 to 7.7) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
12	Ryze	mid in 56 games	57	+1.3 wins per 100 games (range -5.1 to 7.8) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
13	Lucian	bot in 88 games	90	+1.2 wins per 100 games (range -4.9 to 7.3) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
14	Lulu	support in 82 games	82	+1.2 wins per 100 games (range -5.0 to 7.4) · 82 games · Pooled · 71% of this is borrowed from similar champions	too close
15	Viktor	mid in 107 games	149	+1.1 wins per 100 games (range -4.5 to 6.8) · 149 games · Pooled · 57% of this is borrowed from similar champions	too close
16	Hwei	mid in 59 games	99	+1.1 wins per 100 games (range -5.0 to 7.1) · 99 games · Pooled · 67% of this is borrowed from similar champions	too close
17	Syndra	mid in 103 games	168	+1.0 wins per 100 games (range -4.5 to 6.6) · 168 games · Pooled · 54% of this is borrowed from similar champions	too close
18	Lee Sin	jungle in 147 games	150	+1.0 wins per 100 games (range -4.7 to 6.7) · 150 games · Pooled · 57% of this is borrowed from similar champions	too close
19	Ashe	bot in 56 games	61	+1.0 wins per 100 games (range -5.5 to 7.4) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
20	Xin Zhao	jungle in 61 games	62	+0.8 wins per 100 games (range -5.6 to 7.2) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
21	Sivir	bot in 52 games	52	+0.7 wins per 100 games (range -5.8 to 7.3) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
22	Zilean	support in 46 games	50	+0.7 wins per 100 games (range -5.8 to 7.3) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
23	Twisted Fate	mid in 71 games	75	+0.6 wins per 100 games (range -5.6 to 6.9) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
24	Blitzcrank	support in 75 games	75	+0.6 wins per 100 games (range -5.6 to 6.9) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
25	Pantheon	support in 48 games	63	+0.6 wins per 100 games (range -5.8 to 7.0) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
26	Senna	support in 70 games	119	+0.5 wins per 100 games (range -5.4 to 6.3) · 119 games · Pooled · 63% of this is borrowed from similar champions	too close
27	Lux	support in 31 games	74	+0.5 wins per 100 games (range -5.8 to 6.7) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
28	Leona	support in 64 games	64	+0.4 wins per 100 games (range -6.0 to 6.8) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
29	Yunara	bot in 101 games	101	+0.4 wins per 100 games (range -5.6 to 6.4) · 101 games · Pooled · 66% of this is borrowed from similar champions	too close
30	Poppy	support in 44 games	60	+0.4 wins per 100 games (range -6.0 to 6.8) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
31	Yasuo	mid in 62 games	71	+0.3 wins per 100 games (range -6.1 to 6.6) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
32	Diana	jungle in 36 games	67	+0.2 wins per 100 games (range -6.1 to 6.6) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
33	Taliyah	mid in 21 games	53	+0.1 wins per 100 games (range -6.4 to 6.7) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
34	Nidalee	jungle in 50 games	51	+0.1 wins per 100 games (range -6.4 to 6.7) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
35	Galio	mid in 56 games	70	+0.1 wins per 100 games (range -6.3 to 6.4) · 70 games · Pooled · 74% of this is borrowed from similar champions	too close
36	Thresh	support in 120 games	120	0.0 wins per 100 games (range -5.9 to 5.9) · 120 games · Pooled · 63% of this is borrowed from similar champions	too close
37	Vi	jungle in 54 games	58	0.0 wins per 100 games (range -6.5 to 6.4) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
38	Lissandra	mid in 47 games	52	-0.1 wins per 100 games (range -6.6 to 6.5) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
39	Pyke	support in 71 games	71	-0.1 wins per 100 games (range -6.4 to 6.2) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
40	Seraphine	support in 81 games	128	-0.3 wins per 100 games (range -6.1 to 5.5) · 128 games · Pooled · 61% of this is borrowed from similar champions	too close
41	Ahri	mid in 95 games	97	-0.3 wins per 100 games (range -6.4 to 5.8) · 97 games · Pooled · 67% of this is borrowed from similar champions	too close
42	Miss Fortune	bot in 87 games	87	-0.4 wins per 100 games (range -6.5 to 5.8) · 87 games · Pooled · 70% of this is borrowed from similar champions	too close
43	Naafiri	jungle in 66 games	85	-0.4 wins per 100 games (range -6.6 to 5.8) · 85 games · Pooled · 70% of this is borrowed from similar champions	too close
44	Qiyana	jungle in 33 games	52	-0.5 wins per 100 games (range -7.0 to 6.1) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
45	Caitlyn	bot in 106 games	109	-0.6 wins per 100 games (range -6.5 to 5.4) · 109 games · Pooled · 65% of this is borrowed from similar champions	too close
46	Katarina	mid in 55 games	61	-0.6 wins per 100 games (range -7.0 to 5.8) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
47	Kha'Zix	jungle in 58 games	58	-0.8 wins per 100 games (range -7.2 to 5.7) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
48	Jayce	jungle in 29 games	54	-0.8 wins per 100 games (range -7.3 to 5.7) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
49	Sona	support in 50 games	50	-0.9 wins per 100 games (range -7.4 to 5.7) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
50	Xerath	bot in 99 games	147	-0.9 wins per 100 games (range -6.5 to 4.8) · 147 games · Pooled · 58% of this is borrowed from similar champions	too close
51	Tristana	bot in 72 games	78	-1.0 wins per 100 games (range -7.2 to 5.3) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
52	Ezreal	bot in 142 games	148	-1.0 wins per 100 games (range -6.7 to 4.7) · 148 games · Pooled · 57% of this is borrowed from similar champions	too close
53	Mel	bot in 65 games	77	-1.2 wins per 100 games (range -7.4 to 5.1) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
54	Locke	mid in 67 games	107	-1.2 wins per 100 games (range -7.2 to 4.8) · 107 games · Pooled · 65% of this is borrowed from similar champions	too close
55	Bard	support in 100 games	100	-1.4 wins per 100 games (range -7.5 to 4.6) · 100 games · Pooled · 67% of this is borrowed from similar champions	too close
56	Ekko	jungle in 42 games	77	-1.5 wins per 100 games (range -7.8 to 4.7) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
57	Nocturne	jungle in 59 games	60	-1.5 wins per 100 games (range -8.0 to 4.9) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
58	Vel'Koz	support in 25 games	54	-1.6 wins per 100 games (range -8.1 to 4.9) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
59	Camille	support in 112 games	114	-1.6 wins per 100 games (range -7.5 to 4.3) · 114 games · Pooled · 64% of this is borrowed from similar champions	too close
60	Jhin	bot in 143 games	149	-1.7 wins per 100 games (range -7.4 to 3.9) · 149 games · Pooled · 57% of this is borrowed from similar champions	too close
61	Karma	support in 60 games	61	-1.7 wins per 100 games (range -8.1 to 4.7) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
62	Zed	mid in 67 games	85	-1.8 wins per 100 games (range -8.0 to 4.4) · 85 games · Pooled · 70% of this is borrowed from similar champions	too close
63	Akali	mid in 84 games	84	-2.0 wins per 100 games (range -8.2 to 4.2) · 84 games · Pooled · 70% of this is borrowed from similar champions	too close
64	Ziggs	bot in 88 games	97	-2.0 wins per 100 games (range -8.0 to 4.1) · 97 games · Pooled · 67% of this is borrowed from similar champions	too close
65	Kai'Sa	bot in 121 games	126	-2.1 wins per 100 games (range -7.9 to 3.7) · 126 games · Pooled · 61% of this is borrowed from similar champions	too close
66	Jarvan IV	jungle in 88 games	97	-2.3 wins per 100 games (range -8.4 to 3.7) · 97 games · Pooled · 67% of this is borrowed from similar champions	too close
67	Yone	mid in 78 games	82	-2.7 wins per 100 games (range -8.9 to 3.5) · 82 games · Pooled · 71% of this is borrowed from similar champions	too close

A pair needs 50 games together before it is estimated, and each estimate is pulled toward Jax's own average first, so a thin duo cannot crown itself. The verdict reads the delta range: beats only when the whole range clears zero. A delta bar that covers zero stays stone: unclear yet. Teammate pairs share fewer games than lane opponents, so this list runs shorter than the counters page.

104 more teammates, with 2,484 games between them, sit under the pair floor: counted, not listed.

How Jax's own games read

The average every delta above is measured against.

Jax won 1,001 of 2,071 games recorded in top on patch 16.14. As an estimate: 48.3% (range 46.2-50.5) 2,071 games Measured .

What a delta cannot prove

A delta is not proof: the players who queue together differ from the players who do not, and nothing here holds that still.

Jax needed 1,000 recorded top games before this page existed at all. Every floor and constant is on the methodology pages.

These numbers come from 108,616 ranked games we recorded on EUW, Korea and NA, found by following Diamond players and the people they play with. That is not every rank and it is not every region. Everything on this page is patch 16.14. Counted up to 24 July 2026.

Recomputed 24 July 2026. The Jax build page · Jax counters · How we measure this.

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