Which teammates work best with Twitch?

No duo separates cleanly for Twitch on patch 16.14: every measured delta's 95% range covers zero. The best so far is Viktor, at +2.8 wins per 100 games vs Twitch's own average (range -3.6 to 9.2) · 76 games · Pooled · 72% of this is borrowed from similar champions. The delta is against Twitch's own average, because playing beside a strong champion is not synergy.

Twitch synergies, patch 16.14

1,480 games of Twitch bot recorded on patch 16.14. 34 teammates cleared the 50 game pair floor; 129 more sit under it.

Win rate

50.3% of bot games this patch

Best teammate

+2.8 wins per 100 games vs Twitch's own average, beside Viktor

Worst teammate

-3.6 wins per 100 games vs Twitch's own average, beside Pyke

Teammates measured

34 129 more under the pair floor

Patch 16.14 · Twitch bot

Twitch measures best beside Viktor in mid, and worst beside Pyke.

Beside Viktor, Twitch's win rate moves by +2.8 wins per 100 games (range -3.6 to 9.2) 76 games Pooled against Twitch's own average.

Beside Pyke: -3.6 wins per 100 games (range -10.2 to 3.0) 58 games Pooled .

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

Who does Twitch work with?

Delta in wins per 100 games against Twitch's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 10.2 wins per 100 games below Twitch'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.

Viktor: +2.8 wins per 100 games (range -3.6 to 9.2) · 76 games · Pooled · 72% of this is borrowed from similar champions
Lulu: +1.9 wins per 100 games (range -3.6 to 7.3) · 219 games · Pooled · 48% of this is borrowed from similar champions
Malphite: +1.5 wins per 100 games (range -5.1 to 8.1) · 56 games · Pooled · 78% of this is borrowed from similar champions
Thresh: +1.4 wins per 100 games (range -5.1 to 8.0) · 64 games · Pooled · 76% of this is borrowed from similar champions
Lee Sin: +1.4 wins per 100 games (range -5.1 to 7.8) · 74 games · Pooled · 73% of this is borrowed from similar champions
Wukong: +1.1 wins per 100 games (range -5.5 to 7.8) · 50 games · Pooled · 80% of this is borrowed from similar champions
Viego: +1.0 wins per 100 games (range -5.5 to 7.6) · 66 games · Pooled · 75% of this is borrowed from similar champions
Darius: +0.9 wins per 100 games (range -5.7 to 7.6) · 53 games · Pooled · 79% of this is borrowed from similar champions

Every measured Twitch duo

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

**Twitch bot teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Twitch and the teammate shared, minus Twitch's own bot average, in wins per 100 games, all Pooled. Bars share one scale, 10.2 wins per 100 games below Twitch'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 Twitch's average	verdict
1	Viktor	mid in 74 games	76	+2.8 wins per 100 games (range -3.6 to 9.2) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
2	Lulu	support in 219 games	219	+1.9 wins per 100 games (range -3.6 to 7.3) · 219 games · Pooled · 48% of this is borrowed from similar champions	too close
3	Malphite	top in 46 games	56	+1.5 wins per 100 games (range -5.1 to 8.1) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
4	Thresh	support in 64 games	64	+1.4 wins per 100 games (range -5.1 to 8.0) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
5	Lee Sin	jungle in 72 games	74	+1.4 wins per 100 games (range -5.1 to 7.8) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
6	Wukong	jungle in 42 games	50	+1.1 wins per 100 games (range -5.5 to 7.8) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
7	Viego	jungle in 65 games	66	+1.0 wins per 100 games (range -5.5 to 7.6) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
8	Darius	top in 49 games	53	+0.9 wins per 100 games (range -5.7 to 7.6) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
9	Yuumi	support in 102 games	102	+0.6 wins per 100 games (range -5.6 to 6.7) · 102 games · Pooled · 66% of this is borrowed from similar champions	too close
10	Ambessa	top in 49 games	72	+0.3 wins per 100 games (range -6.2 to 6.7) · 72 games · Pooled · 74% of this is borrowed from similar champions	too close
11	Mordekaiser	top in 52 games	62	-0.1 wins per 100 games (range -6.6 to 6.5) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
12	Camille	support in 52 games	70	-0.1 wins per 100 games (range -6.6 to 6.4) · 70 games · Pooled · 74% of this is borrowed from similar champions	too close
13	Diana	jungle in 33 games	53	-0.3 wins per 100 games (range -6.9 to 6.4) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
14	Nautilus	support in 51 games	51	-0.3 wins per 100 games (range -7.0 to 6.4) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
15	Ekko	jungle in 37 games	66	-0.5 wins per 100 games (range -7.0 to 6.1) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
16	Milio	support in 64 games	64	-0.5 wins per 100 games (range -7.0 to 6.1) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
17	Talon	jungle in 48 games	58	-0.5 wins per 100 games (range -7.1 to 6.1) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
18	Ahri	mid in 86 games	93	-0.6 wins per 100 games (range -6.9 to 5.6) · 93 games · Pooled · 68% of this is borrowed from similar champions	too close
19	Pantheon	support in 27 games	57	-0.7 wins per 100 games (range -7.3 to 6.0) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
20	Nami	support in 57 games	57	-0.7 wins per 100 games (range -7.3 to 6.0) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
21	Sylas	jungle in 64 games	140	-0.7 wins per 100 games (range -6.6 to 5.2) · 140 games · Pooled · 59% of this is borrowed from similar champions	too close
22	Naafiri	jungle in 48 games	61	-1.0 wins per 100 games (range -7.6 to 5.5) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
23	Syndra	mid in 80 games	84	-1.2 wins per 100 games (range -7.5 to 5.2) · 84 games · Pooled · 70% of this is borrowed from similar champions	too close
24	Akali	mid in 53 games	71	-1.4 wins per 100 games (range -7.8 to 5.1) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
25	Yasuo	mid in 49 games	67	-1.4 wins per 100 games (range -7.9 to 5.1) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
26	Yone	top in 44 games	76	-1.5 wins per 100 games (range -8.0 to 4.9) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
27	Zed	mid in 46 games	62	-1.6 wins per 100 games (range -8.2 to 5.0) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
28	Locke	mid in 60 games	83	-1.7 wins per 100 games (range -8.0 to 4.7) · 83 games · Pooled · 71% of this is borrowed from similar champions	too close
29	Graves	jungle in 65 games	65	-1.8 wins per 100 games (range -8.3 to 4.7) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
30	Aatrox	top in 44 games	57	-1.8 wins per 100 games (range -8.4 to 4.8) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
31	Jax	top in 37 games	53	-2.2 wins per 100 games (range -8.9 to 4.4) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
32	Jarvan IV	jungle in 55 games	58	-2.4 wins per 100 games (range -9.0 to 4.2) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
33	Qiyana	jungle in 31 games	50	-2.9 wins per 100 games (range -9.6 to 3.8) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
34	Pyke	support in 57 games	58	-3.6 wins per 100 games (range -10.2 to 3.0) · 58 games · Pooled · 78% 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 Twitch'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.

129 more teammates, with 3,472 games between them, sit under the pair floor: counted, not listed.

How Twitch's own games read

The average every delta above is measured against.

Twitch won 745 of 1,480 games recorded in bot on patch 16.14. As an estimate: 50.3% (range 47.8-52.9) 1,480 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.

Twitch needed 1,000 recorded bot 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 Twitch build page · Twitch counters · How we measure this.

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