Which teammates work best with Braum?

No duo separates cleanly for Braum on patch 16.14: every measured delta's 95% range covers zero. The best so far is Ambessa, at +4.0 wins per 100 games vs Braum's own average (range -2.3 to 10.4) · 73 games · Pooled · 73% of this is borrowed from similar champions. The delta is against Braum's own average, because playing beside a strong champion is not synergy.

Braum synergies, patch 16.14

1,720 games of Braum support recorded on patch 16.14. 48 teammates cleared the 50 game pair floor; 112 more sit under it.

Win rate

49.2% of support games this patch

Best teammate

+4.0 wins per 100 games vs Braum's own average, beside Ambessa

Worst teammate

-2.5 wins per 100 games vs Braum's own average, beside Vayne

Teammates measured

48 112 more under the pair floor

Patch 16.14 · Braum support

Braum measures best beside Ambessa in top, and worst beside Vayne.

Beside Ambessa, Braum's win rate moves by +4.0 wins per 100 games (range -2.3 to 10.4) 73 games Pooled against Braum's own average.

Beside Vayne: -2.5 wins per 100 games (range -8.9 to 3.8) 75 games Pooled .

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

Who does Braum work with?

Delta in wins per 100 games against Braum'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 Braum's own average on the left to 10.4 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.

Ambessa: +4.0 wins per 100 games (range -2.3 to 10.4) · 73 games · Pooled · 73% of this is borrowed from similar champions
Ahri: +3.4 wins per 100 games (range -2.9 to 9.7) · 80 games · Pooled · 71% of this is borrowed from similar champions
Irelia: +2.5 wins per 100 games (range -4.1 to 9.2) · 50 games · Pooled · 80% of this is borrowed from similar champions
Akali: +2.5 wins per 100 games (range -4.0 to 8.9) · 64 games · Pooled · 76% of this is borrowed from similar champions
Senna: +2.1 wins per 100 games (range -4.4 to 8.7) · 56 games · Pooled · 78% of this is borrowed from similar champions
Aatrox: +1.7 wins per 100 games (range -4.7 to 8.1) · 68 games · Pooled · 75% of this is borrowed from similar champions
Yunara: +1.6 wins per 100 games (range -4.1 to 7.2) · 167 games · Pooled · 55% of this is borrowed from similar champions
Galio: +1.5 wins per 100 games (range -5.0 to 8.0) · 59 games · Pooled · 77% of this is borrowed from similar champions

Every measured Braum duo

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

**Braum support teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Braum and the teammate shared, minus Braum's own support average, in wins per 100 games, all Pooled. Bars share one scale, 8.9 wins per 100 games below Braum's own average to 10.4 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 Braum's average	verdict
1	Ambessa	top in 55 games	73	+4.0 wins per 100 games (range -2.3 to 10.4) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
2	Ahri	mid in 78 games	80	+3.4 wins per 100 games (range -2.9 to 9.7) · 80 games · Pooled · 71% of this is borrowed from similar champions	too close
3	Irelia	top in 28 games	50	+2.5 wins per 100 games (range -4.1 to 9.2) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
4	Akali	mid in 50 games	64	+2.5 wins per 100 games (range -4.0 to 8.9) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
5	Senna	bot in 56 games	56	+2.1 wins per 100 games (range -4.4 to 8.7) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
6	Aatrox	top in 55 games	68	+1.7 wins per 100 games (range -4.7 to 8.1) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
7	Yunara	bot in 167 games	167	+1.6 wins per 100 games (range -4.1 to 7.2) · 167 games · Pooled · 55% of this is borrowed from similar champions	too close
8	Galio	mid in 51 games	59	+1.5 wins per 100 games (range -5.0 to 8.0) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
9	Viktor	mid in 83 games	113	+1.4 wins per 100 games (range -4.6 to 7.4) · 113 games · Pooled · 64% of this is borrowed from similar champions	too close
10	Shaco	jungle in 51 games	52	+1.4 wins per 100 games (range -5.3 to 7.9) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
11	Miss Fortune	bot in 64 games	64	+1.3 wins per 100 games (range -5.2 to 7.8) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
12	Ekko	mid in 39 games	76	+1.3 wins per 100 games (range -5.0 to 7.6) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
13	Kai'Sa	bot in 103 games	107	+1.1 wins per 100 games (range -5.0 to 7.1) · 107 games · Pooled · 65% of this is borrowed from similar champions	too close
14	Locke	mid in 86 games	121	+1.1 wins per 100 games (range -4.9 to 7.0) · 121 games · Pooled · 62% of this is borrowed from similar champions	too close
15	Jarvan IV	jungle in 54 games	54	+0.9 wins per 100 games (range -5.6 to 7.5) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
16	Tristana	bot in 75 games	88	+0.9 wins per 100 games (range -5.3 to 7.2) · 88 games · Pooled · 69% of this is borrowed from similar champions	too close
17	Twisted Fate	mid in 60 games	63	+0.8 wins per 100 games (range -5.7 to 7.2) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
18	Garen	top in 46 games	51	+0.8 wins per 100 games (range -5.9 to 7.4) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
19	Jinx	bot in 103 games	103	+0.4 wins per 100 games (range -5.7 to 6.5) · 103 games · Pooled · 66% of this is borrowed from similar champions	too close
20	Katarina	mid in 64 games	101	+0.4 wins per 100 games (range -5.7 to 6.5) · 101 games · Pooled · 66% of this is borrowed from similar champions	too close
21	Yasuo	mid in 60 games	99	+0.4 wins per 100 games (range -5.7 to 6.5) · 99 games · Pooled · 67% of this is borrowed from similar champions	too close
22	Jax	top in 45 games	53	+0.4 wins per 100 games (range -6.2 to 6.9) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
23	Syndra	mid in 99 games	120	+0.3 wins per 100 games (range -5.7 to 6.2) · 120 games · Pooled · 63% of this is borrowed from similar champions	too close
24	Caitlyn	bot in 98 games	98	+0.3 wins per 100 games (range -5.9 to 6.4) · 98 games · Pooled · 67% of this is borrowed from similar champions	too close
25	Diana	jungle in 34 games	62	+0.2 wins per 100 games (range -6.3 to 6.7) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
26	Renekton	top in 60 games	62	+0.2 wins per 100 games (range -6.3 to 6.7) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
27	Hwei	mid in 46 games	60	+0.2 wins per 100 games (range -6.3 to 6.7) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
28	Xerath	mid in 37 games	54	+0.2 wins per 100 games (range -6.4 to 6.7) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
29	Graves	jungle in 77 games	81	0.0 wins per 100 games (range -6.3 to 6.3) · 81 games · Pooled · 71% of this is borrowed from similar champions	too close
30	Talon	jungle in 61 games	75	0.0 wins per 100 games (range -6.3 to 6.4) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
31	Aphelios	bot in 60 games	60	-0.2 wins per 100 games (range -6.7 to 6.3) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
32	Qiyana	jungle in 32 games	52	-0.2 wins per 100 games (range -6.8 to 6.4) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
33	Vi	jungle in 56 games	57	-0.4 wins per 100 games (range -7.0 to 6.1) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
34	Yone	top in 63 games	114	-0.7 wins per 100 games (range -6.7 to 5.3) · 114 games · Pooled · 64% of this is borrowed from similar champions	too close
35	Lucian	bot in 171 games	176	-0.7 wins per 100 games (range -6.3 to 4.9) · 176 games · Pooled · 53% of this is borrowed from similar champions	too close
36	Ezreal	bot in 130 games	133	-0.8 wins per 100 games (range -6.6 to 5.1) · 133 games · Pooled · 60% of this is borrowed from similar champions	too close
37	Ashe	bot in 92 games	92	-0.8 wins per 100 games (range -7.0 to 5.4) · 92 games · Pooled · 68% of this is borrowed from similar champions	too close
38	Malphite	top in 50 games	62	-1.0 wins per 100 games (range -7.5 to 5.5) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
39	Mordekaiser	top in 80 games	87	-1.0 wins per 100 games (range -7.2 to 5.3) · 87 games · Pooled · 70% of this is borrowed from similar champions	too close
40	Zed	mid in 31 games	51	-1.2 wins per 100 games (range -7.8 to 5.4) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
41	Naafiri	jungle in 51 games	64	-1.3 wins per 100 games (range -7.8 to 5.1) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
42	Viego	jungle in 97 games	100	-1.4 wins per 100 games (range -7.5 to 4.7) · 100 games · Pooled · 67% of this is borrowed from similar champions	too close
43	Nocturne	jungle in 51 games	54	-1.4 wins per 100 games (range -8.0 to 5.2) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
44	Kha'Zix	jungle in 53 games	53	-1.6 wins per 100 games (range -8.2 to 5.0) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
45	Jayce	top in 59 games	89	-1.7 wins per 100 games (range -7.9 to 4.5) · 89 games · Pooled · 69% of this is borrowed from similar champions	too close
46	Sylas	jungle in 79 games	172	-1.8 wins per 100 games (range -7.4 to 3.8) · 172 games · Pooled · 54% of this is borrowed from similar champions	too close
47	Lee Sin	jungle in 115 games	117	-2.4 wins per 100 games (range -8.4 to 3.6) · 117 games · Pooled · 63% of this is borrowed from similar champions	too close
48	Vayne	top in 42 games	75	-2.5 wins per 100 games (range -8.9 to 3.8) · 75 games · Pooled · 73% 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 Braum'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.

112 more teammates, with 2,898 games between them, sit under the pair floor: counted, not listed.

How Braum's own games read

The average every delta above is measured against.

Braum won 847 of 1,720 games recorded in support on patch 16.14. As an estimate: 49.2% (range 46.9-51.6) 1,720 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.

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

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