Which teammates work best with Shaco?

No duo separates cleanly for Shaco on patch 16.14: every measured delta's 95% range covers zero. The best so far is Syndra, at +3.1 wins per 100 games vs Shaco's own average (range -2.6 to 8.7) · 160 games · Pooled · 56% of this is borrowed from similar champions. The delta is against Shaco's own average, because playing beside a strong champion is not synergy.

Shaco synergies, patch 16.14

1,786 games of Shaco jungle recorded on patch 16.14. 54 teammates cleared the 50 game pair floor; 114 more sit under it.

Win rate

50.0% of jungle games this patch

Best teammate

+3.1 wins per 100 games vs Shaco's own average, beside Syndra

Worst teammate

-3.9 wins per 100 games vs Shaco's own average, beside Nautilus

Teammates measured

54 114 more under the pair floor

Patch 16.14 · Shaco jungle

Shaco measures best beside Syndra in mid, and worst beside Nautilus.

Beside Syndra, Shaco's win rate moves by +3.1 wins per 100 games (range -2.6 to 8.7) 160 games Pooled against Shaco's own average.

Beside Nautilus: -3.9 wins per 100 games (range -9.7 to 2.0) 125 games Pooled .

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

Who does Shaco work with?

Delta in wins per 100 games against Shaco's own average, the 8 best first. The bar under each figure draws that row's own 95% range on one scale, from 9.7 wins per 100 games below Shaco's own average on the left to 9.3 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: +3.1 wins per 100 games (range -2.6 to 8.7) · 160 games · Pooled · 56% of this is borrowed from similar champions
Senna: +3.0 wins per 100 games (range -3.0 to 8.9) · 117 games · Pooled · 63% of this is borrowed from similar champions
Karma: +2.9 wins per 100 games (range -3.4 to 9.3) · 74 games · Pooled · 73% of this is borrowed from similar champions
Lulu: +2.8 wins per 100 games (range -3.6 to 9.3) · 65 games · Pooled · 75% of this is borrowed from similar champions
Miss Fortune: +2.7 wins per 100 games (range -3.6 to 9.0) · 77 games · Pooled · 72% of this is borrowed from similar champions
Thresh: +2.4 wins per 100 games (range -3.6 to 8.3) · 117 games · Pooled · 63% of this is borrowed from similar champions
Leona: +2.3 wins per 100 games (range -4.2 to 8.7) · 66 games · Pooled · 75% of this is borrowed from similar champions
Vayne: +2.2 wins per 100 games (range -4.2 to 8.6) · 68 games · Pooled · 75% of this is borrowed from similar champions

Every measured Shaco duo

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

**Shaco jungle teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Shaco and the teammate shared, minus Shaco's own jungle average, in wins per 100 games, all Pooled. Bars share one scale, 9.7 wins per 100 games below Shaco's own average to 9.3 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 Shaco's average	verdict
1	Syndra	mid in 103 games	160	+3.1 wins per 100 games (range -2.6 to 8.7) · 160 games · Pooled · 56% of this is borrowed from similar champions	too close
2	Senna	support in 58 games	117	+3.0 wins per 100 games (range -3.0 to 8.9) · 117 games · Pooled · 63% of this is borrowed from similar champions	too close
3	Karma	support in 70 games	74	+2.9 wins per 100 games (range -3.4 to 9.3) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
4	Lulu	support in 65 games	65	+2.8 wins per 100 games (range -3.6 to 9.3) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
5	Miss Fortune	bot in 73 games	77	+2.7 wins per 100 games (range -3.6 to 9.0) · 77 games · Pooled · 72% of this is borrowed from similar champions	too close
6	Thresh	support in 116 games	117	+2.4 wins per 100 games (range -3.6 to 8.3) · 117 games · Pooled · 63% of this is borrowed from similar champions	too close
7	Leona	support in 66 games	66	+2.3 wins per 100 games (range -4.2 to 8.7) · 66 games · Pooled · 75% of this is borrowed from similar champions	too close
8	Vayne	top in 36 games	68	+2.2 wins per 100 games (range -4.2 to 8.6) · 68 games · Pooled · 75% of this is borrowed from similar champions	too close
9	Ashe	bot in 66 games	72	+1.5 wins per 100 games (range -4.9 to 7.8) · 72 games · Pooled · 74% of this is borrowed from similar champions	too close
10	Braum	support in 52 games	52	+1.2 wins per 100 games (range -5.4 to 7.8) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
11	Camille	support in 76 games	103	+1.2 wins per 100 games (range -4.9 to 7.2) · 103 games · Pooled · 66% of this is borrowed from similar champions	too close
12	Yunara	bot in 86 games	86	+1.1 wins per 100 games (range -5.2 to 7.3) · 86 games · Pooled · 70% of this is borrowed from similar champions	too close
13	Sylas	mid in 80 games	110	+1.0 wins per 100 games (range -5.0 to 7.0) · 110 games · Pooled · 65% of this is borrowed from similar champions	too close
14	Mordekaiser	top in 72 games	73	+0.9 wins per 100 games (range -5.4 to 7.3) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
15	Jinx	bot in 59 games	59	+0.6 wins per 100 games (range -5.9 to 7.1) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
16	Garen	top in 60 games	67	+0.6 wins per 100 games (range -5.9 to 7.0) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
17	Katarina	mid in 69 games	75	+0.6 wins per 100 games (range -5.8 to 6.9) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
18	Jayce	top in 40 games	51	+0.2 wins per 100 games (range -6.4 to 6.8) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
19	Pantheon	support in 39 games	79	+0.2 wins per 100 games (range -6.1 to 6.5) · 79 games · Pooled · 72% of this is borrowed from similar champions	too close
20	Ziggs	bot in 65 games	71	+0.2 wins per 100 games (range -6.2 to 6.6) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
21	Caitlyn	bot in 109 games	110	0.0 wins per 100 games (range -6.0 to 6.0) · 110 games · Pooled · 65% of this is borrowed from similar champions	too close
22	Akali	mid in 62 games	86	0.0 wins per 100 games (range -6.2 to 6.2) · 86 games · Pooled · 70% of this is borrowed from similar champions	too close
23	Ahri	mid in 81 games	82	0.0 wins per 100 games (range -6.3 to 6.3) · 82 games · Pooled · 71% of this is borrowed from similar champions	too close
24	Galio	mid in 40 games	52	0.0 wins per 100 games (range -6.6 to 6.6) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
25	Anivia	mid in 35 games	50	0.0 wins per 100 games (range -6.6 to 6.6) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
26	Sion	top in 38 games	50	0.0 wins per 100 games (range -6.6 to 6.6) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
27	Kai'Sa	bot in 87 games	95	-0.2 wins per 100 games (range -6.3 to 6.0) · 95 games · Pooled · 68% of this is borrowed from similar champions	too close
28	Poppy	support in 43 games	59	-0.2 wins per 100 games (range -6.7 to 6.3) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
29	Dr. Mundo	top in 49 games	53	-0.2 wins per 100 games (range -6.8 to 6.4) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
30	Lux	support in 33 games	78	-0.4 wins per 100 games (range -6.7 to 6.0) · 78 games · Pooled · 72% of this is borrowed from similar champions	too close
31	Zed	mid in 68 games	76	-0.4 wins per 100 games (range -6.7 to 6.0) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
32	Malphite	top in 63 games	70	-0.4 wins per 100 games (range -6.8 to 6.0) · 70 games · Pooled · 74% of this is borrowed from similar champions	too close
33	Jhin	bot in 110 games	111	-0.8 wins per 100 games (range -6.8 to 5.2) · 111 games · Pooled · 64% of this is borrowed from similar champions	too close
34	Yone	top in 56 games	107	-0.8 wins per 100 games (range -6.9 to 5.2) · 107 games · Pooled · 65% of this is borrowed from similar champions	too close
35	Xerath	mid in 33 games	75	-0.9 wins per 100 games (range -7.3 to 5.4) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
36	Bard	support in 71 games	71	-0.9 wins per 100 games (range -7.3 to 5.5) · 71 games · Pooled · 74% of this is borrowed from similar champions	too close
37	Locke	mid in 80 games	106	-1.0 wins per 100 games (range -7.0 to 5.1) · 106 games · Pooled · 65% of this is borrowed from similar champions	too close
38	Rell	support in 53 games	53	-1.0 wins per 100 games (range -7.6 to 5.6) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
39	Hwei	mid in 34 games	69	-1.3 wins per 100 games (range -7.7 to 5.1) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
40	Pyke	support in 57 games	57	-1.4 wins per 100 games (range -7.9 to 5.2) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
41	Renekton	top in 57 games	60	-1.5 wins per 100 games (range -8.0 to 5.0) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
42	Ezreal	bot in 114 games	118	-1.6 wins per 100 games (range -7.5 to 4.4) · 118 games · Pooled · 63% of this is borrowed from similar champions	too close
43	Nami	support in 81 games	81	-1.6 wins per 100 games (range -7.9 to 4.7) · 81 games · Pooled · 71% of this is borrowed from similar champions	too close
44	Mel	bot in 41 games	57	-1.8 wins per 100 games (range -8.3 to 4.8) · 57 games · Pooled · 78% of this is borrowed from similar champions	too close
45	Lissandra	mid in 39 games	51	-1.8 wins per 100 games (range -8.4 to 4.8) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
46	Milio	support in 51 games	51	-1.8 wins per 100 games (range -8.4 to 4.8) · 51 games · Pooled · 80% of this is borrowed from similar champions	too close
47	Lucian	bot in 73 games	74	-1.8 wins per 100 games (range -8.2 to 4.5) · 74 games · Pooled · 73% of this is borrowed from similar champions	too close
48	Seraphine	support in 71 games	106	-2.0 wins per 100 games (range -8.0 to 4.1) · 106 games · Pooled · 65% of this is borrowed from similar champions	too close
49	Twisted Fate	mid in 46 games	54	-2.0 wins per 100 games (range -8.5 to 4.6) · 54 games · Pooled · 79% of this is borrowed from similar champions	too close
50	Tristana	bot in 83 games	96	-2.0 wins per 100 games (range -8.2 to 4.1) · 96 games · Pooled · 68% of this is borrowed from similar champions	too close
51	Viktor	mid in 82 games	111	-2.1 wins per 100 games (range -8.1 to 3.9) · 111 games · Pooled · 64% of this is borrowed from similar champions	too close
52	Ambessa	top in 65 games	72	-2.2 wins per 100 games (range -8.6 to 4.2) · 72 games · Pooled · 74% of this is borrowed from similar champions	too close
53	Yasuo	mid in 71 games	117	-3.6 wins per 100 games (range -9.6 to 2.3) · 117 games · Pooled · 63% of this is borrowed from similar champions	too close
54	Nautilus	support in 124 games	125	-3.9 wins per 100 games (range -9.7 to 2.0) · 125 games · Pooled · 62% 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 Shaco'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.

114 more teammates, with 2,819 games between them, sit under the pair floor: counted, not listed.

How Shaco's own games read

The average every delta above is measured against.

Shaco won 893 of 1,786 games recorded in jungle on patch 16.14. As an estimate: 50.0% (range 47.7-52.3) 1,786 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.

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

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