Which teammates work best with Olaf?

No duo separates cleanly for Olaf on patch 16.14: every measured delta's 95% range covers zero. The best so far is Yunara, at +3.1 wins per 100 games vs Olaf's own average (range -3.4 to 9.5) · 69 games · Pooled · 74% of this is borrowed from similar champions. The delta is against Olaf's own average, because playing beside a strong champion is not synergy.

Olaf synergies, patch 16.14

1,476 games of Olaf top recorded on patch 16.14. 40 teammates cleared the 50 game pair floor; 129 more sit under it.

Win rate

53.2% of top games this patch

Best teammate

+3.1 wins per 100 games vs Olaf's own average, beside Yunara

Worst teammate

-3.8 wins per 100 games vs Olaf's own average, beside Nocturne

Teammates measured

40 129 more under the pair floor

Patch 16.14 · Olaf top

Olaf measures best beside Yunara in bot, and worst beside Nocturne.

Beside Yunara, Olaf's win rate moves by +3.1 wins per 100 games (range -3.4 to 9.5) 69 games Pooled against Olaf's own average.

Beside Nocturne: -3.8 wins per 100 games (range -10.5 to 2.9) 50 games Pooled .

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

Who does Olaf work with?

Delta in wins per 100 games against Olaf's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 11 wins per 100 games below Olaf's own average on the left to 10 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.

Yunara: +3.1 wins per 100 games (range -3.4 to 9.5) · 69 games · Pooled · 74% of this is borrowed from similar champions
Galio: +2.9 wins per 100 games (range -3.7 to 9.5) · 54 games · Pooled · 79% of this is borrowed from similar champions
Syndra: +2.7 wins per 100 games (range -3.4 to 8.8) · 112 games · Pooled · 64% of this is borrowed from similar champions
Naafiri: +2.4 wins per 100 games (range -4.2 to 8.9) · 58 games · Pooled · 78% of this is borrowed from similar champions
Karma: +2.3 wins per 100 games (range -4.3 to 8.8) · 55 games · Pooled · 78% of this is borrowed from similar champions
Locke: +2.2 wins per 100 games (range -4.2 to 8.6) · 75 games · Pooled · 73% of this is borrowed from similar champions
Jarvan IV: +2.1 wins per 100 games (range -4.4 to 8.6) · 63 games · Pooled · 76% of this is borrowed from similar champions
Seraphine: +1.9 wins per 100 games (range -4.1 to 8.0) · 109 games · Pooled · 65% of this is borrowed from similar champions

Every measured Olaf duo

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

**Olaf top teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Olaf and the teammate shared, minus Olaf's own top average, in wins per 100 games, all Pooled. Bars share one scale, 11 wins per 100 games below Olaf's own average to 10 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 Olaf's average	verdict
1	Yunara	bot in 68 games	69	+3.1 wins per 100 games (range -3.4 to 9.5) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
2	Galio	mid in 48 games	54	+2.9 wins per 100 games (range -3.7 to 9.5) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
3	Syndra	mid in 74 games	112	+2.7 wins per 100 games (range -3.4 to 8.8) · 112 games · Pooled · 64% of this is borrowed from similar champions	too close
4	Naafiri	jungle in 48 games	58	+2.4 wins per 100 games (range -4.2 to 8.9) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
5	Karma	support in 53 games	55	+2.3 wins per 100 games (range -4.3 to 8.8) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
6	Locke	mid in 52 games	75	+2.2 wins per 100 games (range -4.2 to 8.6) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
7	Jarvan IV	jungle in 56 games	63	+2.1 wins per 100 games (range -4.4 to 8.6) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
8	Seraphine	support in 61 games	109	+1.9 wins per 100 games (range -4.1 to 8.0) · 109 games · Pooled · 65% of this is borrowed from similar champions	too close
9	Talon	jungle in 52 games	71	+1.9 wins per 100 games (range -4.5 to 8.4) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
10	Lulu	support in 57 games	57	+1.8 wins per 100 games (range -4.8 to 8.4) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
11	Thresh	support in 73 games	74	+1.7 wins per 100 games (range -4.7 to 8.1) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
12	Viktor	mid in 80 games	122	+1.3 wins per 100 games (range -4.7 to 7.3) · 122 games · Pooled · 62% of this is borrowed from similar champions	too close
13	Jhin	bot in 100 games	102	+0.9 wins per 100 games (range -5.3 to 7.1) · 102 games · Pooled · 66% of this is borrowed from similar champions	too close
14	Lee Sin	jungle in 97 games	100	+0.6 wins per 100 games (range -5.6 to 6.8) · 100 games · Pooled · 67% of this is borrowed from similar champions	too close
15	Hecarim	jungle in 60 games	60	+0.4 wins per 100 games (range -6.1 to 7.0) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
16	Mel	bot in 34 games	55	-0.1 wins per 100 games (range -6.7 to 6.5) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
17	Senna	support in 46 games	78	-0.2 wins per 100 games (range -6.6 to 6.2) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
18	Katarina	mid in 51 games	59	-0.5 wins per 100 games (range -7.1 to 6.0) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
19	Hwei	mid in 41 games	69	-0.6 wins per 100 games (range -7.1 to 5.8) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
20	Pyke	support in 69 games	69	-0.6 wins per 100 games (range -7.1 to 5.8) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
21	Qiyana	jungle in 35 games	50	-0.6 wins per 100 games (range -7.3 to 6.0) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
22	Ekko	jungle in 25 games	53	-0.9 wins per 100 games (range -7.5 to 5.8) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
23	Viego	jungle in 59 games	65	-1.0 wins per 100 games (range -7.5 to 5.5) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
24	Kai'Sa	bot in 71 games	71	-1.0 wins per 100 games (range -7.5 to 5.4) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
25	Graves	jungle in 54 games	54	-1.1 wins per 100 games (range -7.7 to 5.6) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
26	Sylas	jungle in 83 games	174	-1.2 wins per 100 games (range -6.9 to 4.5) · 174 games · Pooled · 53% of this is borrowed from similar champions	too close
27	Bard	support in 74 games	74	-1.2 wins per 100 games (range -7.7 to 5.2) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
28	Leona	support in 53 games	53	-1.3 wins per 100 games (range -7.9 to 5.4) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
29	Caitlyn	bot in 77 games	77	-1.4 wins per 100 games (range -7.8 to 5.0) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
30	Miss Fortune	bot in 51 games	54	-1.9 wins per 100 games (range -8.5 to 4.8) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
31	Ezreal	bot in 86 games	90	-2.0 wins per 100 games (range -8.3 to 4.3) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
32	Zed	mid in 45 games	53	-2.0 wins per 100 games (range -8.7 to 4.6) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
33	Camille	support in 82 games	83	-2.2 wins per 100 games (range -8.5 to 4.2) · 83 games · Pooled · 71% of this is borrowed from similar champions	too close
34	Ziggs	bot in 81 games	87	-2.2 wins per 100 games (range -8.5 to 4.1) · 87 games · Pooled · 70% of this is borrowed from similar champions	too close
35	Nautilus	support in 87 games	89	-2.2 wins per 100 games (range -8.5 to 4.1) · 89 games · Pooled · 69% of this is borrowed from similar champions	too close
36	Nami	support in 71 games	71	-2.5 wins per 100 games (range -9.0 to 4.0) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
37	Lux	support in 24 games	51	-3.2 wins per 100 games (range -9.9 to 3.4) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
38	Ahri	mid in 75 games	76	-3.4 wins per 100 games (range -9.8 to 3.0) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
39	Xerath	bot in 61 games	84	-3.8 wins per 100 games (range -10.1 to 2.6) · 84 games · Pooled · 70% of this is borrowed from similar champions	too close
40	Nocturne	jungle in 50 games	50	-3.8 wins per 100 games (range -10.5 to 2.9) · 50 games · Pooled · 80% 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 Olaf'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 2,934 games between them, sit under the pair floor: counted, not listed.

How Olaf's own games read

The average every delta above is measured against.

Olaf won 785 of 1,476 games recorded in top on patch 16.14. As an estimate: 53.2% (range 50.6-55.7) 1,476 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.

Olaf needed 1,000 recorded top 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 Olaf build page · Olaf counters · How we measure this.

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