Which teammates work best with Milio?

No duo separates cleanly for Milio on patch 16.14: every measured delta's 95% range covers zero. The best so far is Caitlyn, at +3.3 wins per 100 games vs Milio's own average (range -2.6 to 9.2) · 124 games · Pooled · 62% of this is borrowed from similar champions. The delta is against Milio's own average, because playing beside a strong champion is not synergy.

Milio synergies, patch 16.14

1,814 games of Milio support recorded on patch 16.14. 53 teammates cleared the 50 game pair floor; 107 more sit under it.

Win rate

50.3% of support games this patch

Best teammate

+3.3 wins per 100 games vs Milio's own average, beside Caitlyn

Worst teammate

-2.8 wins per 100 games vs Milio's own average, beside Graves

Teammates measured

53 107 more under the pair floor

Patch 16.14 · Milio support

Milio measures best beside Caitlyn in bot, and worst beside Graves.

Beside Caitlyn, Milio's win rate moves by +3.3 wins per 100 games (range -2.6 to 9.2) 124 games Pooled against Milio's own average.

Beside Graves: -2.8 wins per 100 games (range -8.9 to 3.3) 94 games Pooled .

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

Who does Milio work with?

Delta in wins per 100 games against Milio's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 9.2 wins per 100 games below Milio's own average on the left to 9.2 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.

Caitlyn: +3.3 wins per 100 games (range -2.6 to 9.2) · 124 games · Pooled · 62% of this is borrowed from similar champions
Katarina: +2.5 wins per 100 games (range -3.9 to 8.8) · 74 games · Pooled · 73% of this is borrowed from similar champions
Lee Sin: +2.1 wins per 100 games (range -3.8 to 8.0) · 120 games · Pooled · 63% of this is borrowed from similar champions
Jinx: +2.0 wins per 100 games (range -3.5 to 7.6) · 170 games · Pooled · 54% of this is borrowed from similar champions
Ahri: +2.0 wins per 100 games (range -4.2 to 8.2) · 90 games · Pooled · 69% of this is borrowed from similar champions
Yasuo: +1.9 wins per 100 games (range -4.4 to 8.2) · 81 games · Pooled · 71% of this is borrowed from similar champions
Pantheon: +1.7 wins per 100 games (range -4.8 to 8.3) · 53 games · Pooled · 79% of this is borrowed from similar champions
Aatrox: +1.6 wins per 100 games (range -4.8 to 8.1) · 63 games · Pooled · 76% of this is borrowed from similar champions

Every measured Milio duo

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

**Milio support teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Milio and the teammate shared, minus Milio's own support average, in wins per 100 games, all Pooled. Bars share one scale, 9.2 wins per 100 games below Milio's own average to 9.2 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 Milio's average	verdict
1	Caitlyn	bot in 124 games	124	+3.3 wins per 100 games (range -2.6 to 9.2) · 124 games · Pooled · 62% of this is borrowed from similar champions	too close
2	Katarina	mid in 71 games	74	+2.5 wins per 100 games (range -3.9 to 8.8) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
3	Lee Sin	jungle in 116 games	120	+2.1 wins per 100 games (range -3.8 to 8.0) · 120 games · Pooled · 63% of this is borrowed from similar champions	too close
4	Jinx	bot in 169 games	170	+2.0 wins per 100 games (range -3.5 to 7.6) · 170 games · Pooled · 54% of this is borrowed from similar champions	too close
5	Ahri	mid in 86 games	90	+2.0 wins per 100 games (range -4.2 to 8.2) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
6	Yasuo	mid in 49 games	81	+1.9 wins per 100 games (range -4.4 to 8.2) · 81 games · Pooled · 71% of this is borrowed from similar champions	too close
7	Pantheon	top in 28 games	53	+1.7 wins per 100 games (range -4.8 to 8.3) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
8	Aatrox	top in 48 games	63	+1.6 wins per 100 games (range -4.8 to 8.1) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
9	Talon	jungle in 66 games	84	+1.3 wins per 100 games (range -4.9 to 7.6) · 84 games · Pooled · 70% of this is borrowed from similar champions	too close
10	Tristana	bot in 54 games	63	+1.3 wins per 100 games (range -5.2 to 7.7) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
11	Malphite	top in 65 games	77	+1.2 wins per 100 games (range -5.1 to 7.5) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
12	Kog'Maw	bot in 56 games	60	+1.1 wins per 100 games (range -5.4 to 7.6) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
13	Locke	mid in 70 games	99	+1.1 wins per 100 games (range -5.0 to 7.2) · 99 games · Pooled · 67% of this is borrowed from similar champions	too close
14	Shen	top in 48 games	51	+0.9 wins per 100 games (range -5.7 to 7.5) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
15	Zaahen	top in 44 games	51	+0.9 wins per 100 games (range -5.7 to 7.5) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
16	Diana	mid in 30 games	59	+0.9 wins per 100 games (range -5.6 to 7.4) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
17	Fizz	mid in 51 games	61	+0.9 wins per 100 games (range -5.6 to 7.4) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
18	Jax	top in 52 games	67	+0.9 wins per 100 games (range -5.5 to 7.3) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
19	Vayne	bot in 65 games	97	+0.8 wins per 100 games (range -5.4 to 6.9) · 97 games · Pooled · 67% of this is borrowed from similar champions	too close
20	Lucian	bot in 443 games	444	+0.7 wins per 100 games (range -3.8 to 5.2) · 444 games · Pooled · 31% of this is borrowed from similar champions	too close
21	Vladimir	mid in 37 games	54	+0.7 wins per 100 games (range -5.8 to 7.3) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
22	Kai'Sa	bot in 56 games	65	+0.5 wins per 100 games (range -5.9 to 6.9) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
23	Akali	mid in 58 games	75	+0.5 wins per 100 games (range -5.9 to 6.8) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
24	Mordekaiser	top in 69 games	76	+0.3 wins per 100 games (range -6.0 to 6.6) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
25	Ambessa	top in 66 games	98	+0.2 wins per 100 games (range -5.9 to 6.4) · 98 games · Pooled · 67% of this is borrowed from similar champions	too close
26	Viktor	mid in 95 games	112	+0.2 wins per 100 games (range -5.8 to 6.2) · 112 games · Pooled · 64% of this is borrowed from similar champions	too close
27	Kha'Zix	jungle in 61 games	61	+0.1 wins per 100 games (range -6.3 to 6.6) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
28	Hwei	mid in 55 games	63	+0.1 wins per 100 games (range -6.3 to 6.6) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
29	Ornn	top in 56 games	56	-0.1 wins per 100 games (range -6.6 to 6.5) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
30	Renekton	top in 51 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
31	Jarvan IV	jungle in 65 games	66	-0.1 wins per 100 games (range -6.5 to 6.4) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
32	Syndra	mid in 95 games	105	-0.3 wins per 100 games (range -6.3 to 5.8) · 105 games · Pooled · 66% of this is borrowed from similar champions	too close
33	Ashe	bot in 87 games	87	-0.3 wins per 100 games (range -6.5 to 6.0) · 87 games · Pooled · 70% of this is borrowed from similar champions	too close
34	Darius	top in 59 games	71	-0.3 wins per 100 games (range -6.6 to 6.1) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
35	Nocturne	jungle in 52 games	54	-0.5 wins per 100 games (range -7.0 to 6.1) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
36	Twisted Fate	mid in 66 games	71	-0.6 wins per 100 games (range -7.0 to 5.8) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
37	Qiyana	jungle in 38 games	61	-0.6 wins per 100 games (range -7.1 to 5.8) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
38	Galio	mid in 53 games	55	-0.7 wins per 100 games (range -7.2 to 5.9) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
39	Zed	mid in 55 games	72	-0.8 wins per 100 games (range -7.2 to 5.5) · 72 games · Pooled · 74% of this is borrowed from similar champions	too close
40	Twitch	bot in 64 games	66	-0.8 wins per 100 games (range -7.2 to 5.6) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
41	Sylas	jungle in 91 games	188	-0.9 wins per 100 games (range -6.4 to 4.6) · 188 games · Pooled · 52% of this is borrowed from similar champions	too close
42	Viego	jungle in 70 games	74	-1.2 wins per 100 games (range -7.5 to 5.2) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
43	Aphelios	bot in 67 games	68	-1.2 wins per 100 games (range -7.6 to 5.2) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
44	Jayce	top in 41 games	58	-1.2 wins per 100 games (range -7.7 to 5.3) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
45	Naafiri	jungle in 46 games	69	-1.4 wins per 100 games (range -7.8 to 5.0) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
46	Yone	top in 65 games	110	-1.4 wins per 100 games (range -7.4 to 4.6) · 110 games · Pooled · 65% of this is borrowed from similar champions	too close
47	Shaco	jungle in 51 games	52	-1.6 wins per 100 games (range -8.2 to 4.9) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
48	Jhin	bot in 57 games	59	-1.8 wins per 100 games (range -8.3 to 4.7) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
49	Wukong	jungle in 62 games	71	-2.1 wins per 100 games (range -8.5 to 4.3) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
50	Ekko	jungle in 37 games	71	-2.1 wins per 100 games (range -8.5 to 4.3) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
51	Yunara	bot in 128 games	128	-2.5 wins per 100 games (range -8.4 to 3.3) · 128 games · Pooled · 61% of this is borrowed from similar champions	too close
52	Dr. Mundo	top in 54 games	62	-2.7 wins per 100 games (range -9.2 to 3.7) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
53	Graves	jungle in 92 games	94	-2.8 wins per 100 games (range -8.9 to 3.3) · 94 games · Pooled · 68% 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 Milio'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.

107 more teammates, with 2,744 games between them, sit under the pair floor: counted, not listed.

How Milio's own games read

The average every delta above is measured against.

Milio won 912 of 1,814 games recorded in support on patch 16.14. As an estimate: 50.3% (range 48.0-52.6) 1,814 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.

Milio needed 1,000 recorded support 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 Milio build page · Milio counters · How we measure this.

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