Which teammates work best with Pantheon?

No duo separates cleanly for Pantheon on patch 16.14: every measured delta's 95% range covers zero. The best so far is Garen, at +4.9 wins per 100 games vs Pantheon's own average (range -1.5 to 11.3) · 63 games · Pooled · 76% of this is borrowed from similar champions. The delta is against Pantheon's own average, because playing beside a strong champion is not synergy.

Pantheon synergies, patch 16.14

1,940 games of Pantheon support recorded on patch 16.14. 61 teammates cleared the 50 game pair floor; 98 more sit under it.

Win rate

49.3% of support games this patch

Best teammate

+4.9 wins per 100 games vs Pantheon's own average, beside Garen

Worst teammate

-4.9 wins per 100 games vs Pantheon's own average, beside Ezreal

Teammates measured

61 98 more under the pair floor

Patch 16.14 · Pantheon support

Pantheon measures best beside Garen in top, and worst beside Ezreal.

Beside Garen, Pantheon's win rate moves by +4.9 wins per 100 games (range -1.5 to 11.3) 63 games Pooled against Pantheon's own average.

Beside Ezreal: -4.9 wins per 100 games (range -11.0 to 1.2) 94 games Pooled .

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

Who does Pantheon work with?

Delta in wins per 100 games against Pantheon'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 Pantheon's own average on the left to 11 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.

Garen: +4.9 wins per 100 games (range -1.5 to 11.3) · 63 games · Pooled · 76% of this is borrowed from similar champions
Qiyana: +4.1 wins per 100 games (range -2.1 to 10.4) · 78 games · Pooled · 72% of this is borrowed from similar champions
Seraphine: +3.3 wins per 100 games (range -3.0 to 9.5) · 77 games · Pooled · 72% of this is borrowed from similar champions
Syndra: +3.0 wins per 100 games (range -2.5 to 8.6) · 170 games · Pooled · 54% of this is borrowed from similar champions
Lux: +2.5 wins per 100 games (range -4.0 to 9.1) · 52 games · Pooled · 79% of this is borrowed from similar champions
Xin Zhao: +2.3 wins per 100 games (range -4.2 to 8.8) · 53 games · Pooled · 79% of this is borrowed from similar champions
Twisted Fate: +2.2 wins per 100 games (range -4.1 to 8.5) · 73 games · Pooled · 73% of this is borrowed from similar champions
Xerath: +2.1 wins per 100 games (range -3.5 to 7.8) · 149 games · Pooled · 57% of this is borrowed from similar champions

Every measured Pantheon duo

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

**Pantheon support teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Pantheon and the teammate shared, minus Pantheon's own support average, in wins per 100 games, all Pooled. Bars share one scale, 11 wins per 100 games below Pantheon's own average to 11 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 Pantheon's average	verdict
1	Garen	top in 51 games	63	+4.9 wins per 100 games (range -1.5 to 11.3) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
2	Qiyana	jungle in 43 games	78	+4.1 wins per 100 games (range -2.1 to 10.4) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
3	Seraphine	bot in 74 games	77	+3.3 wins per 100 games (range -3.0 to 9.5) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
4	Syndra	bot in 86 games	170	+3.0 wins per 100 games (range -2.5 to 8.6) · 170 games · Pooled · 54% of this is borrowed from similar champions	too close
5	Lux	mid in 28 games	52	+2.5 wins per 100 games (range -4.0 to 9.1) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
6	Xin Zhao	jungle in 40 games	53	+2.3 wins per 100 games (range -4.2 to 8.8) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
7	Twisted Fate	mid in 67 games	73	+2.2 wins per 100 games (range -4.1 to 8.5) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
8	Xerath	bot in 117 games	149	+2.1 wins per 100 games (range -3.5 to 7.8) · 149 games · Pooled · 57% of this is borrowed from similar champions	too close
9	Fizz	mid in 44 games	55	+1.9 wins per 100 games (range -4.6 to 8.4) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
10	Hwei	mid in 43 games	85	+1.8 wins per 100 games (range -4.4 to 8.0) · 85 games · Pooled · 70% of this is borrowed from similar champions	too close
11	Nocturne	jungle in 58 games	60	+1.7 wins per 100 games (range -4.8 to 8.2) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
12	Hecarim	jungle in 66 games	66	+1.7 wins per 100 games (range -4.7 to 8.1) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
13	Renekton	top in 46 games	51	+1.5 wins per 100 games (range -5.0 to 8.1) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
14	Locke	mid in 76 games	114	+1.5 wins per 100 games (range -4.4 to 7.5) · 114 games · Pooled · 64% of this is borrowed from similar champions	too close
15	Jarvan IV	jungle in 69 games	69	+1.5 wins per 100 games (range -4.9 to 7.8) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
16	Yone	top in 74 games	141	+1.3 wins per 100 games (range -4.4 to 7.0) · 141 games · Pooled · 59% of this is borrowed from similar champions	too close
17	Vayne	top in 47 games	64	+1.3 wins per 100 games (range -5.1 to 7.7) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
18	Vi	jungle in 55 games	55	+1.1 wins per 100 games (range -5.4 to 7.6) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
19	Talon	jungle in 50 games	77	+1.1 wins per 100 games (range -5.2 to 7.4) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
20	Zed	mid in 54 games	73	+1.1 wins per 100 games (range -5.2 to 7.4) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
21	Sylas	mid in 110 games	250	+1.0 wins per 100 games (range -4.1 to 6.2) · 250 games · Pooled · 44% of this is borrowed from similar champions	too close
22	Jax	top in 49 games	60	+0.9 wins per 100 games (range -5.5 to 7.4) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
23	Yunara	bot in 61 games	63	+0.7 wins per 100 games (range -5.7 to 7.2) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
24	Darius	top in 54 games	61	+0.7 wins per 100 games (range -5.7 to 7.2) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
25	Gangplank	top in 57 games	61	+0.7 wins per 100 games (range -5.7 to 7.2) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
26	Zaahen	top in 38 games	51	+0.7 wins per 100 games (range -5.8 to 7.3) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
27	Kai'Sa	bot in 122 games	127	+0.7 wins per 100 games (range -5.1 to 6.6) · 127 games · Pooled · 61% of this is borrowed from similar champions	too close
28	Jhin	bot in 131 games	134	+0.6 wins per 100 games (range -5.2 to 6.4) · 134 games · Pooled · 60% of this is borrowed from similar champions	too close
29	Tristana	bot in 71 games	86	+0.6 wins per 100 games (range -5.7 to 6.8) · 86 games · Pooled · 70% of this is borrowed from similar champions	too close
30	Fiora	top in 50 games	54	+0.5 wins per 100 games (range -6.0 to 7.1) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
31	Wukong	jungle in 51 games	63	+0.3 wins per 100 games (range -6.1 to 6.8) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
32	Nidalee	jungle in 52 games	59	+0.3 wins per 100 games (range -6.1 to 6.8) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
33	Taliyah	bot in 43 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
34	Dr. Mundo	top in 63 games	68	+0.2 wins per 100 games (range -6.2 to 6.5) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
35	Miss Fortune	bot in 61 games	62	+0.2 wins per 100 games (range -6.3 to 6.6) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
36	Diana	mid in 36 games	67	0.0 wins per 100 games (range -6.4 to 6.4) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
37	Ahri	mid in 74 games	79	-0.3 wins per 100 games (range -6.6 to 5.9) · 79 games · Pooled · 72% of this is borrowed from similar champions	too close
38	Katarina	mid in 54 games	62	-0.6 wins per 100 games (range -7.0 to 5.8) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
39	Cassiopeia	mid in 26 games	50	-0.7 wins per 100 games (range -7.2 to 5.9) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
40	Gnar	top in 53 games	53	-0.8 wins per 100 games (range -7.4 to 5.7) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
41	Caitlyn	bot in 77 games	78	-0.9 wins per 100 games (range -7.2 to 5.4) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
42	Irelia	top in 36 games	60	-1.0 wins per 100 games (range -7.5 to 5.5) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
43	Ambessa	top in 81 games	114	-1.0 wins per 100 games (range -7.0 to 4.9) · 114 games · Pooled · 64% of this is borrowed from similar champions	too close
44	Mel	bot in 76 games	92	-1.2 wins per 100 games (range -7.3 to 5.0) · 92 games · Pooled · 68% of this is borrowed from similar champions	too close
45	Vladimir	mid in 28 games	57	-1.2 wins per 100 games (range -7.7 to 5.3) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
46	Jayce	top in 75 games	122	-1.3 wins per 100 games (range -7.2 to 4.6) · 122 games · Pooled · 62% of this is borrowed from similar champions	too close
47	Ziggs	bot in 108 games	114	-1.4 wins per 100 games (range -7.3 to 4.6) · 114 games · Pooled · 64% of this is borrowed from similar champions	too close
48	Akali	mid in 58 games	87	-1.4 wins per 100 games (range -7.5 to 4.8) · 87 games · Pooled · 70% of this is borrowed from similar champions	too close
49	Graves	jungle in 96 games	98	-1.5 wins per 100 games (range -7.5 to 4.6) · 98 games · Pooled · 67% of this is borrowed from similar champions	too close
50	Ekko	jungle in 31 games	69	-1.5 wins per 100 games (range -7.9 to 4.9) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
51	Lucian	bot in 54 games	57	-1.6 wins per 100 games (range -8.1 to 4.9) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
52	Mordekaiser	top in 66 games	78	-1.6 wins per 100 games (range -7.9 to 4.7) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
53	Yasuo	mid in 60 games	98	-1.8 wins per 100 games (range -7.9 to 4.3) · 98 games · Pooled · 67% of this is borrowed from similar champions	too close
54	Galio	mid in 65 games	68	-2.1 wins per 100 games (range -8.4 to 4.3) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
55	Sion	top in 41 games	54	-2.2 wins per 100 games (range -8.7 to 4.3) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
56	Lee Sin	jungle in 178 games	178	-2.3 wins per 100 games (range -7.8 to 3.2) · 178 games · Pooled · 53% of this is borrowed from similar champions	too close
57	Aatrox	top in 66 games	79	-2.5 wins per 100 games (range -8.8 to 3.8) · 79 games · Pooled · 72% of this is borrowed from similar champions	too close
58	Naafiri	jungle in 89 games	106	-2.7 wins per 100 games (range -8.7 to 3.3) · 106 games · Pooled · 65% of this is borrowed from similar champions	too close
59	Viego	jungle in 86 games	91	-3.4 wins per 100 games (range -9.5 to 2.7) · 91 games · Pooled · 69% of this is borrowed from similar champions	too close
60	Viktor	mid in 112 games	177	-3.5 wins per 100 games (range -9.0 to 2.0) · 177 games · Pooled · 53% of this is borrowed from similar champions	too close
61	Ezreal	bot in 91 games	94	-4.9 wins per 100 games (range -11.0 to 1.2) · 94 games · Pooled · 68% 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 Pantheon'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.

98 more teammates, with 2,566 games between them, sit under the pair floor: counted, not listed.

How Pantheon's own games read

The average every delta above is measured against.

Pantheon won 957 of 1,940 games recorded in support on patch 16.14. As an estimate: 49.3% (range 47.1-51.5) 1,940 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.

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

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