Which teammates work best with Gangplank?

No duo separates cleanly for Gangplank on patch 16.14: every measured delta's 95% range covers zero. The best so far is Ahri, at +2.9 wins per 100 games vs Gangplank's own average (range -3.3 to 9.1) · 86 games · Pooled · 70% of this is borrowed from similar champions. The delta is against Gangplank's own average, because playing beside a strong champion is not synergy.

Gangplank synergies, patch 16.14

2,028 games of Gangplank top recorded on patch 16.14. 62 teammates cleared the 50 game pair floor; 107 more sit under it.

Win rate

49.7% of top games this patch

Best teammate

+2.9 wins per 100 games vs Gangplank's own average, beside Ahri

Worst teammate

-4.5 wins per 100 games vs Gangplank's own average, beside Locke

Teammates measured

62 107 more under the pair floor

Patch 16.14 · Gangplank top

Gangplank measures best beside Ahri in mid, and worst beside Locke.

Beside Ahri, Gangplank's win rate moves by +2.9 wins per 100 games (range -3.3 to 9.1) 86 games Pooled against Gangplank's own average.

Beside Locke: -4.5 wins per 100 games (range -10.4 to 1.5) 106 games Pooled .

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

Who does Gangplank work with?

Delta in wins per 100 games against Gangplank's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 10.4 wins per 100 games below Gangplank's own average on the left to 9.1 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.

Ahri: +2.9 wins per 100 games (range -3.3 to 9.1) · 86 games · Pooled · 70% of this is borrowed from similar champions
Sylas: +2.5 wins per 100 games (range -2.5 to 7.5) · 270 games · Pooled · 43% of this is borrowed from similar champions
Ziggs: +2.3 wins per 100 games (range -3.6 to 8.2) · 118 games · Pooled · 63% of this is borrowed from similar champions
Viktor: +2.3 wins per 100 games (range -3.2 to 7.8) · 176 games · Pooled · 53% of this is borrowed from similar champions
Ekko: +2.2 wins per 100 games (range -4.0 to 8.3) · 90 games · Pooled · 69% of this is borrowed from similar champions
Nami: +2.1 wins per 100 games (range -4.2 to 8.5) · 69 games · Pooled · 74% of this is borrowed from similar champions
Camille: +2.1 wins per 100 games (range -3.7 to 7.9) · 131 games · Pooled · 60% of this is borrowed from similar champions
Pyke: +1.8 wins per 100 games (range -4.3 to 8.0) · 90 games · Pooled · 69% of this is borrowed from similar champions

Every measured Gangplank duo

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

**Gangplank top teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Gangplank and the teammate shared, minus Gangplank's own top average, in wins per 100 games, all Pooled. Bars share one scale, 10.4 wins per 100 games below Gangplank's own average to 9.1 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 Gangplank's average	verdict
1	Ahri	mid in 85 games	86	+2.9 wins per 100 games (range -3.3 to 9.1) · 86 games · Pooled · 70% of this is borrowed from similar champions	too close
2	Sylas	jungle in 118 games	270	+2.5 wins per 100 games (range -2.5 to 7.5) · 270 games · Pooled · 43% of this is borrowed from similar champions	too close
3	Ziggs	bot in 107 games	118	+2.3 wins per 100 games (range -3.6 to 8.2) · 118 games · Pooled · 63% of this is borrowed from similar champions	too close
4	Viktor	mid in 104 games	176	+2.3 wins per 100 games (range -3.2 to 7.8) · 176 games · Pooled · 53% of this is borrowed from similar champions	too close
5	Ekko	mid in 44 games	90	+2.2 wins per 100 games (range -4.0 to 8.3) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
6	Nami	support in 69 games	69	+2.1 wins per 100 games (range -4.2 to 8.5) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
7	Camille	support in 131 games	131	+2.1 wins per 100 games (range -3.7 to 7.9) · 131 games · Pooled · 60% of this is borrowed from similar champions	too close
8	Pyke	support in 90 games	90	+1.8 wins per 100 games (range -4.3 to 8.0) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
9	Lee Sin	jungle in 173 games	174	+1.7 wins per 100 games (range -3.8 to 7.3) · 174 games · Pooled · 53% of this is borrowed from similar champions	too close
10	Syndra	mid in 109 games	167	+1.6 wins per 100 games (range -3.9 to 7.2) · 167 games · Pooled · 55% of this is borrowed from similar champions	too close
11	Pantheon	support in 53 games	68	+1.6 wins per 100 games (range -4.8 to 7.9) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
12	Kha'Zix	jungle in 53 games	53	+1.4 wins per 100 games (range -5.1 to 8.0) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
13	Kayn	jungle in 57 games	57	+1.4 wins per 100 games (range -5.0 to 7.9) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
14	Leona	support in 91 games	91	+1.3 wins per 100 games (range -4.8 to 7.4) · 91 games · Pooled · 69% of this is borrowed from similar champions	too close
15	Kai'Sa	bot in 120 games	124	+1.0 wins per 100 games (range -4.8 to 6.9) · 124 games · Pooled · 62% of this is borrowed from similar champions	too close
16	Tristana	bot in 54 games	63	+1.0 wins per 100 games (range -5.4 to 7.4) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
17	Twisted Fate	mid in 67 games	71	+1.0 wins per 100 games (range -5.3 to 7.3) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
18	Malzahar	mid in 51 games	56	+0.8 wins per 100 games (range -5.6 to 7.3) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
19	Hecarim	jungle in 58 games	58	+0.8 wins per 100 games (range -5.6 to 7.3) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
20	Alistar	support in 58 games	58	+0.8 wins per 100 games (range -5.6 to 7.3) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
21	Xin Zhao	jungle in 55 games	55	+0.7 wins per 100 games (range -5.8 to 7.2) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
22	Poppy	support in 45 games	60	+0.5 wins per 100 games (range -6.0 to 6.9) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
23	Hwei	mid in 53 games	90	+0.4 wins per 100 games (range -5.7 to 6.6) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
24	Vladimir	mid in 56 games	76	+0.4 wins per 100 games (range -5.8 to 6.7) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
25	Nautilus	support in 116 games	118	+0.4 wins per 100 games (range -5.5 to 6.3) · 118 games · Pooled · 63% of this is borrowed from similar champions	too close
26	Seraphine	support in 102 games	152	+0.4 wins per 100 games (range -5.2 to 6.1) · 152 games · Pooled · 57% of this is borrowed from similar champions	too close
27	Ezreal	bot in 140 games	146	+0.4 wins per 100 games (range -5.3 to 6.1) · 146 games · Pooled · 58% of this is borrowed from similar champions	too close
28	Mel	bot in 74 games	95	+0.3 wins per 100 games (range -5.8 to 6.4) · 95 games · Pooled · 68% of this is borrowed from similar champions	too close
29	Lulu	support in 67 games	67	+0.3 wins per 100 games (range -6.1 to 6.6) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
30	Yunara	bot in 78 games	80	+0.1 wins per 100 games (range -6.2 to 6.3) · 80 games · Pooled · 71% of this is borrowed from similar champions	too close
31	Talon	jungle in 48 games	74	+0.1 wins per 100 games (range -6.2 to 6.4) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
32	Karma	support in 60 games	62	+0.1 wins per 100 games (range -6.3 to 6.5) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
33	Ashe	bot in 55 games	60	+0.1 wins per 100 games (range -6.4 to 6.5) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
34	Rell	support in 51 games	51	-0.1 wins per 100 games (range -6.7 to 6.4) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
35	Naafiri	jungle in 77 games	96	-0.2 wins per 100 games (range -6.3 to 5.8) · 96 games · Pooled · 68% of this is borrowed from similar champions	too close
36	LeBlanc	mid in 51 games	58	-0.3 wins per 100 games (range -6.8 to 6.1) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
37	Viego	jungle in 86 games	89	-0.4 wins per 100 games (range -6.6 to 5.7) · 89 games · Pooled · 69% of this is borrowed from similar champions	too close
38	Lucian	bot in 73 games	75	-0.5 wins per 100 games (range -6.8 to 5.8) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
39	Akali	mid in 67 games	67	-0.5 wins per 100 games (range -6.9 to 5.9) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
40	Lux	support in 35 games	68	-0.7 wins per 100 games (range -7.0 to 5.7) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
41	Senna	support in 58 games	105	-0.7 wins per 100 games (range -6.7 to 5.3) · 105 games · Pooled · 66% of this is borrowed from similar champions	too close
42	Yasuo	mid in 43 games	56	-0.7 wins per 100 games (range -7.2 to 5.8) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
43	Galio	mid in 64 games	79	-0.8 wins per 100 games (range -7.1 to 5.4) · 79 games · Pooled · 72% of this is borrowed from similar champions	too close
44	Jarvan IV	jungle in 59 games	73	-0.8 wins per 100 games (range -7.1 to 5.5) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
45	Zed	mid in 57 games	69	-0.8 wins per 100 games (range -7.2 to 5.5) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
46	Jhin	bot in 129 games	131	-0.9 wins per 100 games (range -6.7 to 4.9) · 131 games · Pooled · 60% of this is borrowed from similar champions	too close
47	Thresh	support in 110 games	111	-1.0 wins per 100 games (range -7.0 to 4.9) · 111 games · Pooled · 64% of this is borrowed from similar champions	too close
48	Bard	support in 81 games	81	-1.2 wins per 100 games (range -7.4 to 5.1) · 81 games · Pooled · 71% of this is borrowed from similar champions	too close
49	Yone	mid in 54 games	57	-1.3 wins per 100 games (range -7.8 to 5.2) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
50	Katarina	mid in 64 games	76	-1.4 wins per 100 games (range -7.6 to 4.9) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
51	Nocturne	jungle in 58 games	60	-1.5 wins per 100 games (range -7.9 to 5.0) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
52	Wukong	jungle in 58 games	58	-1.5 wins per 100 games (range -8.0 to 5.0) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
53	Swain	bot in 24 games	53	-1.7 wins per 100 games (range -8.2 to 4.8) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
54	Shaco	jungle in 40 games	53	-1.7 wins per 100 games (range -8.2 to 4.8) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
55	Qiyana	jungle in 49 games	81	-1.9 wins per 100 games (range -8.1 to 4.3) · 81 games · Pooled · 71% of this is borrowed from similar champions	too close
56	Blitzcrank	support in 71 games	71	-1.9 wins per 100 games (range -8.3 to 4.4) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
57	Caitlyn	bot in 84 games	84	-2.0 wins per 100 games (range -8.2 to 4.2) · 84 games · Pooled · 70% of this is borrowed from similar champions	too close
58	Miss Fortune	bot in 75 games	78	-2.1 wins per 100 games (range -8.3 to 4.2) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
59	Graves	jungle in 94 games	95	-2.1 wins per 100 games (range -8.2 to 4.0) · 95 games · Pooled · 68% of this is borrowed from similar champions	too close
60	Vi	jungle in 77 games	83	-2.2 wins per 100 games (range -8.4 to 4.0) · 83 games · Pooled · 71% of this is borrowed from similar champions	too close
61	Xerath	bot in 113 games	160	-2.6 wins per 100 games (range -8.2 to 2.9) · 160 games · Pooled · 56% of this is borrowed from similar champions	too close
62	Locke	mid in 77 games	106	-4.5 wins per 100 games (range -10.4 to 1.5) · 106 games · Pooled · 65% 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 Gangplank'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.

107 more teammates, with 2,583 games between them, sit under the pair floor: counted, not listed.

How Gangplank's own games read

The average every delta above is measured against.

Gangplank won 1,008 of 2,028 games recorded in top on patch 16.14. As an estimate: 49.7% (range 47.5-51.9) 2,028 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.

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

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