Which teammates work best with Ekko?

No duo separates cleanly for Ekko on patch 16.14: every measured delta's 95% range covers zero. The best so far is Syndra, at +3.3 wins per 100 games vs Ekko's own average (range -3.2 to 9.8) · 69 games · Pooled · 74% of this is borrowed from similar champions. The delta is against Ekko's own average, because playing beside a strong champion is not synergy.

Ekko synergies, patch 16.14

1,385 games of Ekko jungle recorded on patch 16.14. 36 teammates cleared the 50 game pair floor; 132 more sit under it.

Win rate

52.4% of jungle games this patch

Best teammate

+3.3 wins per 100 games vs Ekko's own average, beside Syndra

Worst teammate

-2.8 wins per 100 games vs Ekko's own average, beside Kai'Sa

Teammates measured

36 132 more under the pair floor

Patch 16.14 · Ekko jungle

Ekko measures best beside Syndra in mid, and worst beside Kai'Sa.

Beside Syndra, Ekko's win rate moves by +3.3 wins per 100 games (range -3.2 to 9.8) 69 games Pooled against Ekko's own average.

Beside Kai'Sa: -2.8 wins per 100 games (range -9.3 to 3.6) 76 games Pooled .

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

Who does Ekko work with?

Delta in wins per 100 games against Ekko's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 9.3 wins per 100 games below Ekko's own average on the left to 9.8 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: +3.3 wins per 100 games (range -3.2 to 9.8) · 69 games · Pooled · 74% of this is borrowed from similar champions
Camille: +2.3 wins per 100 games (range -4.1 to 8.7) · 83 games · Pooled · 71% of this is borrowed from similar champions
Thresh: +2.0 wins per 100 games (range -4.3 to 8.3) · 88 games · Pooled · 69% of this is borrowed from similar champions
Seraphine: +1.4 wins per 100 games (range -5.1 to 7.8) · 73 games · Pooled · 73% of this is borrowed from similar champions
Nami: +1.1 wins per 100 games (range -5.4 to 7.7) · 63 games · Pooled · 76% of this is borrowed from similar champions
Tristana: +1.1 wins per 100 games (range -5.5 to 7.6) · 69 games · Pooled · 74% of this is borrowed from similar champions
Irelia: +0.8 wins per 100 games (range -5.8 to 7.4) · 61 games · Pooled · 77% of this is borrowed from similar champions
Senna: +0.7 wins per 100 games (range -5.5 to 7.0) · 97 games · Pooled · 67% of this is borrowed from similar champions

Every measured Ekko duo

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

**Ekko jungle teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Ekko and the teammate shared, minus Ekko's own jungle average, in wins per 100 games, all Pooled. Bars share one scale, 9.3 wins per 100 games below Ekko's own average to 9.8 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 Ekko's average	verdict
1	Syndra	mid in 48 games	69	+3.3 wins per 100 games (range -3.2 to 9.8) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
2	Camille	support in 67 games	83	+2.3 wins per 100 games (range -4.1 to 8.7) · 83 games · Pooled · 71% of this is borrowed from similar champions	too close
3	Thresh	support in 87 games	88	+2.0 wins per 100 games (range -4.3 to 8.3) · 88 games · Pooled · 69% of this is borrowed from similar champions	too close
4	Seraphine	support in 58 games	73	+1.4 wins per 100 games (range -5.1 to 7.8) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
5	Nami	support in 63 games	63	+1.1 wins per 100 games (range -5.4 to 7.7) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
6	Tristana	bot in 56 games	69	+1.1 wins per 100 games (range -5.5 to 7.6) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
7	Irelia	top in 34 games	61	+0.8 wins per 100 games (range -5.8 to 7.4) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
8	Senna	support in 62 games	97	+0.7 wins per 100 games (range -5.5 to 7.0) · 97 games · Pooled · 67% of this is borrowed from similar champions	too close
9	Galio	mid in 39 games	50	+0.7 wins per 100 games (range -6.0 to 7.4) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
10	Aatrox	top in 49 games	52	+0.7 wins per 100 games (range -6.0 to 7.4) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
11	Pantheon	support in 31 games	71	+0.7 wins per 100 games (range -5.8 to 7.2) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
12	Viktor	mid in 57 games	71	+0.7 wins per 100 games (range -5.8 to 7.2) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
13	Ahri	mid in 52 games	56	+0.6 wins per 100 games (range -6.0 to 7.3) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
14	Zed	mid in 82 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
15	Katarina	mid in 52 games	57	+0.4 wins per 100 games (range -6.2 to 7.1) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
16	Shen	top in 29 games	52	+0.3 wins per 100 games (range -6.4 to 7.0) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
17	Leona	support in 58 games	58	+0.2 wins per 100 games (range -6.4 to 6.9) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
18	Yunara	bot in 60 games	61	0.0 wins per 100 games (range -6.6 to 6.6) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
19	Sivir	bot in 56 games	57	-0.3 wins per 100 games (range -7.0 to 6.3) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
20	Miss Fortune	bot in 60 games	61	-0.4 wins per 100 games (range -7.0 to 6.2) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
21	Yone	mid in 88 games	148	-0.5 wins per 100 games (range -6.3 to 5.4) · 148 games · Pooled · 57% of this is borrowed from similar champions	too close
22	Lucian	bot in 49 games	50	-0.5 wins per 100 games (range -7.2 to 6.2) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
23	Jinx	bot in 50 games	50	-0.5 wins per 100 games (range -7.2 to 6.2) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
24	Vayne	bot in 31 games	56	-0.5 wins per 100 games (range -7.2 to 6.1) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
25	Lulu	support in 58 games	58	-0.5 wins per 100 games (range -7.2 to 6.1) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
26	Pyke	support in 54 games	55	-0.7 wins per 100 games (range -7.4 to 5.9) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
27	Darius	top in 51 games	52	-0.9 wins per 100 games (range -7.6 to 5.8) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
28	Nautilus	support in 70 games	70	-1.0 wins per 100 games (range -7.5 to 5.5) · 70 games · Pooled · 74% of this is borrowed from similar champions	too close
29	Ezreal	bot in 104 games	107	-1.0 wins per 100 games (range -7.2 to 5.2) · 107 games · Pooled · 65% of this is borrowed from similar champions	too close
30	Ambessa	top in 42 games	57	-1.1 wins per 100 games (range -7.8 to 5.5) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
31	Jhin	bot in 100 games	104	-1.2 wins per 100 games (range -7.3 to 5.0) · 104 games · Pooled · 66% of this is borrowed from similar champions	too close
32	Caitlyn	bot in 102 games	104	-1.5 wins per 100 games (range -7.7 to 4.7) · 104 games · Pooled · 66% of this is borrowed from similar champions	too close
33	Yasuo	mid in 63 games	110	-1.5 wins per 100 games (range -7.7 to 4.6) · 110 games · Pooled · 65% of this is borrowed from similar champions	too close
34	Jayce	top in 46 games	66	-2.1 wins per 100 games (range -8.7 to 4.4) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
35	Locke	mid in 53 games	57	-2.3 wins per 100 games (range -8.9 to 4.4) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
36	Kai'Sa	bot in 72 games	76	-2.8 wins per 100 games (range -9.3 to 3.6) · 76 games · Pooled · 72% 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 Ekko'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.

132 more teammates, with 2,984 games between them, sit under the pair floor: counted, not listed.

How Ekko's own games read

The average every delta above is measured against.

Ekko won 726 of 1,385 games recorded in jungle on patch 16.14. As an estimate: 52.4% (range 49.8-55.0) 1,385 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.

Ekko needed 1,000 recorded jungle 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 Ekko build page · Ekko counters · How we measure this.

ko.lol for desktop

Your champion pool, your matchups and your patch notes, on your desktop while you play.

Free. For Windows.

Download