Which teammates work best with Alistar?

No duo separates cleanly for Alistar on patch 16.14: every measured delta's 95% range covers zero. The best so far is Syndra, at +4.1 wins per 100 games vs Alistar's own average (range -1.6 to 9.9) · 146 games · Pooled · 58% of this is borrowed from similar champions. The delta is against Alistar's own average, because playing beside a strong champion is not synergy.

Alistar synergies, patch 16.14

1,787 games of Alistar support recorded on patch 16.14. 57 teammates cleared the 50 game pair floor; 103 more sit under it.

Win rate

50.5% of support games this patch

Best teammate

+4.1 wins per 100 games vs Alistar's own average, beside Syndra

Worst teammate

-3.0 wins per 100 games vs Alistar's own average, beside Mel

Teammates measured

57 103 more under the pair floor

Patch 16.14 · Alistar support

Alistar measures best beside Syndra in mid, and worst beside Mel.

Beside Syndra, Alistar's win rate moves by +4.1 wins per 100 games (range -1.6 to 9.9) 146 games Pooled against Alistar's own average.

Beside Mel: -3.0 wins per 100 games (range -9.4 to 3.3) 74 games Pooled .

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

Who does Alistar work with?

Delta in wins per 100 games against Alistar's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 9.4 wins per 100 games below Alistar's own average on the left to 9.9 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: +4.1 wins per 100 games (range -1.6 to 9.9) · 146 games · Pooled · 58% of this is borrowed from similar champions
Naafiri: +3.4 wins per 100 games (range -2.9 to 9.6) · 86 games · Pooled · 70% of this is borrowed from similar champions
Hwei: +2.9 wins per 100 games (range -3.5 to 9.3) · 66 games · Pooled · 75% of this is borrowed from similar champions
Vayne: +2.6 wins per 100 games (range -3.7 to 8.9) · 75 games · Pooled · 73% of this is borrowed from similar champions
Twisted Fate: +2.3 wins per 100 games (range -4.3 to 8.9) · 50 games · Pooled · 80% of this is borrowed from similar champions
Mordekaiser: +2.2 wins per 100 games (range -4.3 to 8.7) · 60 games · Pooled · 77% of this is borrowed from similar champions
Jhin: +2.2 wins per 100 games (range -3.9 to 8.3) · 100 games · Pooled · 67% of this is borrowed from similar champions
Sivir: +1.7 wins per 100 games (range -4.9 to 8.3) · 51 games · Pooled · 80% of this is borrowed from similar champions

Every measured Alistar duo

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

**Alistar support teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Alistar and the teammate shared, minus Alistar's own support average, in wins per 100 games, all Pooled. Bars share one scale, 9.4 wins per 100 games below Alistar's own average to 9.9 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 Alistar's average	verdict
1	Syndra	mid in 84 games	146	+4.1 wins per 100 games (range -1.6 to 9.9) · 146 games · Pooled · 58% of this is borrowed from similar champions	too close
2	Naafiri	jungle in 75 games	86	+3.4 wins per 100 games (range -2.9 to 9.6) · 86 games · Pooled · 70% of this is borrowed from similar champions	too close
3	Hwei	mid in 36 games	66	+2.9 wins per 100 games (range -3.5 to 9.3) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
4	Vayne	top in 44 games	75	+2.6 wins per 100 games (range -3.7 to 8.9) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
5	Twisted Fate	mid in 41 games	50	+2.3 wins per 100 games (range -4.3 to 8.9) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
6	Mordekaiser	top in 56 games	60	+2.2 wins per 100 games (range -4.3 to 8.7) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
7	Jhin	bot in 99 games	100	+2.2 wins per 100 games (range -3.9 to 8.3) · 100 games · Pooled · 67% of this is borrowed from similar champions	too close
8	Sivir	bot in 50 games	51	+1.7 wins per 100 games (range -4.9 to 8.3) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
9	Garen	top in 48 games	53	+1.7 wins per 100 games (range -4.9 to 8.3) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
10	Katarina	mid in 64 games	75	+1.5 wins per 100 games (range -4.8 to 7.8) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
11	Jarvan IV	jungle in 58 games	58	+1.4 wins per 100 games (range -5.1 to 8.0) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
12	Ekko	jungle in 31 games	63	+1.2 wins per 100 games (range -5.2 to 7.7) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
13	Nocturne	jungle in 52 games	54	+1.1 wins per 100 games (range -5.5 to 7.6) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
14	Gangplank	top in 58 games	63	+0.8 wins per 100 games (range -5.6 to 7.3) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
15	Rengar	jungle in 46 games	50	+0.7 wins per 100 games (range -5.9 to 7.3) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
16	Kha'Zix	jungle in 50 games	50	+0.7 wins per 100 games (range -5.9 to 7.3) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
17	Darius	top in 54 games	56	+0.7 wins per 100 games (range -5.9 to 7.2) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
18	Akali	mid in 46 games	60	+0.7 wins per 100 games (range -5.8 to 7.2) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
19	Kai'Sa	bot in 121 games	125	+0.6 wins per 100 games (range -5.3 to 6.5) · 125 games · Pooled · 62% of this is borrowed from similar champions	too close
20	Ziggs	bot in 73 games	76	+0.6 wins per 100 games (range -5.7 to 6.9) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
21	Ahri	mid in 86 games	90	+0.5 wins per 100 games (range -5.7 to 6.7) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
22	Samira	bot in 51 games	51	+0.5 wins per 100 games (range -6.1 to 7.1) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
23	Yunara	bot in 64 games	65	+0.5 wins per 100 games (range -6.0 to 6.9) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
24	Seraphine	bot in 47 games	50	+0.3 wins per 100 games (range -6.3 to 6.9) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
25	Master Yi	jungle in 50 games	54	+0.3 wins per 100 games (range -6.3 to 6.8) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
26	Miss Fortune	bot in 61 games	62	+0.3 wins per 100 games (range -6.2 to 6.7) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
27	Senna	bot in 67 games	68	+0.3 wins per 100 games (range -6.2 to 6.7) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
28	Talon	jungle in 62 games	88	+0.2 wins per 100 games (range -6.0 to 6.4) · 88 games · Pooled · 69% of this is borrowed from similar champions	too close
29	Hecarim	jungle in 51 games	51	+0.1 wins per 100 games (range -6.5 to 6.7) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
30	Lee Sin	jungle in 140 games	144	+0.1 wins per 100 games (range -5.7 to 5.8) · 144 games · Pooled · 58% of this is borrowed from similar champions	too close
31	Qiyana	jungle in 39 games	65	+0.1 wins per 100 games (range -6.4 to 6.5) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
32	Wukong	jungle in 59 games	69	+0.1 wins per 100 games (range -6.3 to 6.5) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
33	Zed	mid in 36 games	52	-0.1 wins per 100 games (range -6.7 to 6.5) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
34	Riven	top in 30 games	55	-0.3 wins per 100 games (range -6.8 to 6.3) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
35	Xerath	bot in 50 games	73	-0.3 wins per 100 games (range -6.7 to 6.0) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
36	Viktor	mid in 92 games	143	-0.3 wins per 100 games (range -6.1 to 5.4) · 143 games · Pooled · 58% of this is borrowed from similar champions	too close
37	Aatrox	top in 47 games	60	-0.5 wins per 100 games (range -7.0 to 6.0) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
38	Jayce	top in 71 games	107	-0.7 wins per 100 games (range -6.7 to 5.4) · 107 games · Pooled · 65% of this is borrowed from similar champions	too close
39	Ambessa	top in 51 games	77	-0.7 wins per 100 games (range -7.0 to 5.6) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
40	Vladimir	mid in 35 games	67	-0.7 wins per 100 games (range -7.1 to 5.7) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
41	Jax	top in 43 games	51	-0.7 wins per 100 games (range -7.3 to 5.9) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
42	Sylas	jungle in 98 games	195	-0.9 wins per 100 games (range -6.3 to 4.6) · 195 games · Pooled · 51% of this is borrowed from similar champions	too close
43	Jinx	bot in 50 games	50	-0.9 wins per 100 games (range -7.5 to 5.7) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
44	Tristana	bot in 86 games	95	-1.0 wins per 100 games (range -7.2 to 5.2) · 95 games · Pooled · 68% of this is borrowed from similar champions	too close
45	Ezreal	bot in 105 games	110	-1.1 wins per 100 games (range -7.2 to 4.9) · 110 games · Pooled · 65% of this is borrowed from similar champions	too close
46	Yone	top in 56 games	106	-1.1 wins per 100 games (range -7.2 to 4.9) · 106 games · Pooled · 65% of this is borrowed from similar champions	too close
47	Caitlyn	bot in 67 games	68	-1.2 wins per 100 games (range -7.7 to 5.2) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
48	Locke	mid in 82 games	125	-1.3 wins per 100 games (range -7.2 to 4.6) · 125 games · Pooled · 62% of this is borrowed from similar champions	too close
49	Malphite	top in 51 games	66	-2.0 wins per 100 games (range -8.4 to 4.4) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
50	Renekton	top in 45 games	50	-2.1 wins per 100 games (range -8.7 to 4.5) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
51	Viego	jungle in 87 games	90	-2.2 wins per 100 games (range -8.4 to 4.0) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
52	Anivia	mid in 31 games	51	-2.3 wins per 100 games (range -8.9 to 4.3) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
53	Yasuo	mid in 89 games	171	-2.5 wins per 100 games (range -8.1 to 3.1) · 171 games · Pooled · 54% of this is borrowed from similar champions	too close
54	Nasus	top in 30 games	59	-2.6 wins per 100 games (range -9.1 to 3.9) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
55	Graves	jungle in 95 games	97	-2.7 wins per 100 games (range -8.8 to 3.5) · 97 games · Pooled · 67% of this is borrowed from similar champions	too close
56	Diana	jungle in 32 games	68	-2.7 wins per 100 games (range -9.1 to 3.7) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
57	Mel	bot in 60 games	74	-3.0 wins per 100 games (range -9.4 to 3.3) · 74 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 Alistar'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.

103 more teammates, with 2,714 games between them, sit under the pair floor: counted, not listed.

How Alistar's own games read

The average every delta above is measured against.

Alistar won 902 of 1,787 games recorded in support on patch 16.14. As an estimate: 50.5% (range 48.2-52.8) 1,787 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.

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

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