Which teammates work best with Poppy?

No duo separates cleanly for Poppy on patch 16.14: every measured delta's 95% range covers zero. The best so far is Syndra, at +2.9 wins per 100 games vs Poppy's own average (range -3.2 to 8.9) · 110 games · Pooled · 65% of this is borrowed from similar champions. The delta is against Poppy's own average, because playing beside a strong champion is not synergy.

Poppy synergies, patch 16.14

1,515 games of Poppy support recorded on patch 16.14. 43 teammates cleared the 50 game pair floor; 115 more sit under it.

Win rate

54.6% of support games this patch

Best teammate

+2.9 wins per 100 games vs Poppy's own average, beside Syndra

Worst teammate

-3.0 wins per 100 games vs Poppy's own average, beside Yunara

Teammates measured

43 115 more under the pair floor

Patch 16.14 · Poppy support

Poppy measures best beside Syndra in mid, and worst beside Yunara.

Beside Syndra, Poppy's win rate moves by +2.9 wins per 100 games (range -3.2 to 8.9) 110 games Pooled against Poppy's own average.

Beside Yunara: -3.0 wins per 100 games (range -9.5 to 3.5) 64 games Pooled .

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

Who does Poppy work with?

Delta in wins per 100 games against Poppy's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 9.5 wins per 100 games below Poppy's own average on the left to 8.9 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.

Syndra: +2.9 wins per 100 games (range -3.2 to 8.9) · 110 games · Pooled · 65% of this is borrowed from similar champions
Aatrox: +2.3 wins per 100 games (range -4.1 to 8.8) · 69 games · Pooled · 74% of this is borrowed from similar champions
Ziggs: +2.0 wins per 100 games (range -4.3 to 8.3) · 83 games · Pooled · 71% of this is borrowed from similar champions
Locke: +1.8 wins per 100 games (range -4.3 to 7.8) · 109 games · Pooled · 65% of this is borrowed from similar champions
Twisted Fate: +1.6 wins per 100 games (range -5.0 to 8.1) · 55 games · Pooled · 78% of this is borrowed from similar champions
Ahri: +1.3 wins per 100 games (range -5.2 to 7.8) · 65 games · Pooled · 75% of this is borrowed from similar champions
Galio: +1.2 wins per 100 games (range -5.3 to 7.8) · 60 games · Pooled · 77% of this is borrowed from similar champions
Talon: +1.2 wins per 100 games (range -5.2 to 7.6) · 71 games · Pooled · 74% of this is borrowed from similar champions

Every measured Poppy duo

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

**Poppy support teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Poppy and the teammate shared, minus Poppy's own support average, in wins per 100 games, all Pooled. Bars share one scale, 9.5 wins per 100 games below Poppy's own average to 8.9 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 Poppy's average	verdict
1	Syndra	mid in 58 games	110	+2.9 wins per 100 games (range -3.2 to 8.9) · 110 games · Pooled · 65% of this is borrowed from similar champions	too close
2	Aatrox	top in 51 games	69	+2.3 wins per 100 games (range -4.1 to 8.8) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
3	Ziggs	bot in 79 games	83	+2.0 wins per 100 games (range -4.3 to 8.3) · 83 games · Pooled · 71% of this is borrowed from similar champions	too close
4	Locke	mid in 81 games	109	+1.8 wins per 100 games (range -4.3 to 7.8) · 109 games · Pooled · 65% of this is borrowed from similar champions	too close
5	Twisted Fate	mid in 52 games	55	+1.6 wins per 100 games (range -5.0 to 8.1) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
6	Ahri	mid in 59 games	65	+1.3 wins per 100 games (range -5.2 to 7.8) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
7	Galio	mid in 52 games	60	+1.2 wins per 100 games (range -5.3 to 7.8) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
8	Talon	jungle in 45 games	71	+1.2 wins per 100 games (range -5.2 to 7.6) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
9	Yasuo	mid in 40 games	70	+1.0 wins per 100 games (range -5.4 to 7.4) · 70 games · Pooled · 74% of this is borrowed from similar champions	too close
10	Vayne	top in 41 games	54	+1.0 wins per 100 games (range -5.6 to 7.6) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
11	Viktor	mid in 93 games	162	+1.0 wins per 100 games (range -4.7 to 6.7) · 162 games · Pooled · 55% of this is borrowed from similar champions	too close
12	Kai'Sa	bot in 98 games	103	+0.9 wins per 100 games (range -5.2 to 7.0) · 103 games · Pooled · 66% of this is borrowed from similar champions	too close
13	Ambessa	top in 57 games	81	+0.6 wins per 100 games (range -5.7 to 6.9) · 81 games · Pooled · 71% of this is borrowed from similar champions	too close
14	Graves	jungle in 82 games	83	+0.6 wins per 100 games (range -5.7 to 6.9) · 83 games · Pooled · 71% of this is borrowed from similar champions	too close
15	Xerath	bot in 60 games	87	+0.5 wins per 100 games (range -5.8 to 6.8) · 87 games · Pooled · 70% of this is borrowed from similar champions	too close
16	Hwei	mid in 35 games	64	+0.4 wins per 100 games (range -6.1 to 6.9) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
17	Jax	top in 47 games	55	+0.4 wins per 100 games (range -6.2 to 7.0) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
18	Vladimir	mid in 27 games	50	+0.3 wins per 100 games (range -6.4 to 6.9) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
19	Jhin	bot in 112 games	112	+0.3 wins per 100 games (range -5.8 to 6.3) · 112 games · Pooled · 64% of this is borrowed from similar champions	too close
20	Sylas	mid in 70 games	153	+0.1 wins per 100 games (range -5.7 to 5.9) · 153 games · Pooled · 57% of this is borrowed from similar champions	too close
21	Xin Zhao	jungle in 49 games	51	+0.1 wins per 100 games (range -6.6 to 6.7) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
22	Gangplank	top in 49 games	51	+0.1 wins per 100 games (range -6.6 to 6.7) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
23	Wukong	jungle in 48 games	55	0.0 wins per 100 games (range -6.6 to 6.6) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
24	Renekton	top in 46 games	52	-0.2 wins per 100 games (range -6.8 to 6.5) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
25	Seraphine	bot in 49 games	52	-0.2 wins per 100 games (range -6.8 to 6.5) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
26	Lee Sin	jungle in 136 games	139	-0.6 wins per 100 games (range -6.4 to 5.3) · 139 games · Pooled · 59% of this is borrowed from similar champions	too close
27	Jayce	top in 61 games	95	-0.7 wins per 100 games (range -6.9 to 5.6) · 95 games · Pooled · 68% of this is borrowed from similar champions	too close
28	Yone	top in 56 games	99	-0.7 wins per 100 games (range -6.9 to 5.5) · 99 games · Pooled · 67% of this is borrowed from similar champions	too close
29	Ekko	jungle in 26 games	51	-0.8 wins per 100 games (range -7.4 to 5.9) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
30	Mel	bot in 58 games	68	-0.8 wins per 100 games (range -7.3 to 5.7) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
31	Miss Fortune	bot in 57 games	57	-0.8 wins per 100 games (range -7.4 to 5.7) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
32	Naafiri	jungle in 51 games	63	-0.9 wins per 100 games (range -7.4 to 5.6) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
33	Viego	jungle in 61 games	65	-0.9 wins per 100 games (range -7.5 to 5.5) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
34	Tristana	bot in 47 games	54	-1.0 wins per 100 games (range -7.6 to 5.6) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
35	Caitlyn	bot in 53 games	54	-1.0 wins per 100 games (range -7.6 to 5.6) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
36	Qiyana	jungle in 38 games	62	-1.1 wins per 100 games (range -7.6 to 5.4) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
37	Zed	mid in 60 games	72	-1.2 wins per 100 games (range -7.7 to 5.2) · 72 games · Pooled · 74% of this is borrowed from similar champions	too close
38	Jarvan IV	jungle in 54 games	55	-1.6 wins per 100 games (range -8.2 to 5.0) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
39	Diana	mid in 29 games	50	-1.7 wins per 100 games (range -8.4 to 4.9) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
40	Vi	jungle in 57 games	59	-2.0 wins per 100 games (range -8.6 to 4.5) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
41	Ezreal	bot in 92 games	93	-2.3 wins per 100 games (range -8.6 to 3.9) · 93 games · Pooled · 68% of this is borrowed from similar champions	too close
42	Akali	mid in 54 games	78	-2.4 wins per 100 games (range -8.8 to 4.0) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
43	Yunara	bot in 63 games	64	-3.0 wins per 100 games (range -9.5 to 3.5) · 64 games · Pooled · 76% 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 Poppy'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.

115 more teammates, with 2,825 games between them, sit under the pair floor: counted, not listed.

How Poppy's own games read

The average every delta above is measured against.

Poppy won 828 of 1,515 games recorded in support on patch 16.14. As an estimate: 54.6% (range 52.1-57.1) 1,515 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.

Poppy 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 Poppy build page · Poppy counters · How we measure this.

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