Which teammates work best with Vladimir?

No duo separates cleanly for Vladimir on patch 16.14: every measured delta's 95% range covers zero. The best so far is Thresh, at +2.9 wins per 100 games vs Vladimir's own average (range -3.3 to 9.2) · 92 games · Pooled · 68% of this is borrowed from similar champions. The delta is against Vladimir's own average, because playing beside a strong champion is not synergy.

Vladimir synergies, patch 16.14

1,515 games of Vladimir mid recorded on patch 16.14. 43 teammates cleared the 50 game pair floor; 128 more sit under it.

Win rate

50.6% of mid games this patch

Best teammate

+2.9 wins per 100 games vs Vladimir's own average, beside Thresh

Worst teammate

-3.4 wins per 100 games vs Vladimir's own average, beside Graves

Teammates measured

43 128 more under the pair floor

Patch 16.14 · Vladimir mid

Vladimir measures best beside Thresh in support, and worst beside Graves.

Beside Thresh, Vladimir's win rate moves by +2.9 wins per 100 games (range -3.3 to 9.2) 92 games Pooled against Vladimir's own average.

Beside Graves: -3.4 wins per 100 games (range -9.7 to 3.0) 80 games Pooled .

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

Who does Vladimir work with?

Delta in wins per 100 games against Vladimir'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 Vladimir's own average on the left to 9.4 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.

Thresh: +2.9 wins per 100 games (range -3.3 to 9.2) · 92 games · Pooled · 68% of this is borrowed from similar champions
Kha'Zix: +2.8 wins per 100 games (range -3.8 to 9.4) · 55 games · Pooled · 78% of this is borrowed from similar champions
Lucian: +2.6 wins per 100 games (range -4.0 to 9.1) · 60 games · Pooled · 77% of this is borrowed from similar champions
Senna: +1.9 wins per 100 games (range -4.2 to 8.0) · 107 games · Pooled · 65% of this is borrowed from similar champions
Jinx: +1.8 wins per 100 games (range -4.8 to 8.4) · 60 games · Pooled · 77% of this is borrowed from similar champions
Sylas: +1.6 wins per 100 games (range -4.7 to 8.0) · 82 games · Pooled · 71% of this is borrowed from similar champions
Tristana: +1.6 wins per 100 games (range -5.0 to 8.1) · 65 games · Pooled · 75% of this is borrowed from similar champions
Camille: +1.6 wins per 100 games (range -4.7 to 7.8) · 90 games · Pooled · 69% of this is borrowed from similar champions

Every measured Vladimir duo

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

**Vladimir mid teammates on patch 16.14, best measured delta first** Delta is the shrunk win rate in the games Vladimir and the teammate shared, minus Vladimir's own mid average, in wins per 100 games, all Pooled. Bars share one scale, 9.7 wins per 100 games below Vladimir's own average to 9.4 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 Vladimir's average	verdict
1	Thresh	support in 92 games	92	+2.9 wins per 100 games (range -3.3 to 9.2) · 92 games · Pooled · 68% of this is borrowed from similar champions	too close
2	Kha'Zix	jungle in 55 games	55	+2.8 wins per 100 games (range -3.8 to 9.4) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
3	Lucian	bot in 58 games	60	+2.6 wins per 100 games (range -4.0 to 9.1) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
4	Senna	support in 61 games	107	+1.9 wins per 100 games (range -4.2 to 8.0) · 107 games · Pooled · 65% of this is borrowed from similar champions	too close
5	Jinx	bot in 60 games	60	+1.8 wins per 100 games (range -4.8 to 8.4) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
6	Sylas	jungle in 58 games	82	+1.6 wins per 100 games (range -4.7 to 8.0) · 82 games · Pooled · 71% of this is borrowed from similar champions	too close
7	Tristana	bot in 62 games	65	+1.6 wins per 100 games (range -5.0 to 8.1) · 65 games · Pooled · 75% of this is borrowed from similar champions	too close
8	Camille	support in 68 games	90	+1.6 wins per 100 games (range -4.7 to 7.8) · 90 games · Pooled · 69% of this is borrowed from similar champions	too close
9	Xerath	bot in 38 games	50	+1.5 wins per 100 games (range -5.2 to 8.2) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
10	Nami	support in 79 games	79	+1.4 wins per 100 games (range -4.9 to 7.8) · 79 games · Pooled · 72% of this is borrowed from similar champions	too close
11	Jhin	bot in 105 games	108	+1.4 wins per 100 games (range -4.7 to 7.5) · 108 games · Pooled · 65% of this is borrowed from similar champions	too close
12	Wukong	jungle in 54 games	58	+1.4 wins per 100 games (range -5.2 to 8.0) · 58 games · Pooled · 78% of this is borrowed from similar champions	too close
13	Lulu	support in 59 games	59	+1.2 wins per 100 games (range -5.3 to 7.8) · 59 games · Pooled · 77% of this is borrowed from similar champions	too close
14	Jayce	top in 44 games	67	+1.2 wins per 100 games (range -5.3 to 7.7) · 67 games · Pooled · 75% of this is borrowed from similar champions	too close
15	Aatrox	top in 44 games	62	+1.0 wins per 100 games (range -5.5 to 7.6) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
16	Hecarim	jungle in 54 games	55	+0.9 wins per 100 games (range -5.8 to 7.5) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
17	Leona	support in 75 games	75	+0.8 wins per 100 games (range -5.7 to 7.2) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
18	Seraphine	support in 58 games	93	+0.7 wins per 100 games (range -5.6 to 6.9) · 93 games · Pooled · 68% of this is borrowed from similar champions	too close
19	Malphite	top in 47 games	52	+0.7 wins per 100 games (range -6.0 to 7.3) · 52 games · Pooled · 79% of this is borrowed from similar champions	too close
20	Jarvan IV	jungle in 68 games	72	+0.6 wins per 100 games (range -5.9 to 7.0) · 72 games · Pooled · 74% of this is borrowed from similar champions	too close
21	Pyke	support in 55 games	55	+0.5 wins per 100 games (range -6.2 to 7.1) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
22	Naafiri	jungle in 67 games	73	+0.4 wins per 100 games (range -6.0 to 6.8) · 73 games · Pooled · 73% of this is borrowed from similar champions	too close
23	Jax	top in 47 games	64	+0.2 wins per 100 games (range -6.3 to 6.8) · 64 games · Pooled · 76% of this is borrowed from similar champions	too close
24	Talon	jungle in 52 games	55	+0.1 wins per 100 games (range -6.5 to 6.7) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
25	Viego	jungle in 58 games	61	+0.1 wins per 100 games (range -6.5 to 6.6) · 61 games · Pooled · 77% of this is borrowed from similar champions	too close
26	Yunara	bot in 68 games	69	0.0 wins per 100 games (range -6.4 to 6.5) · 69 games · Pooled · 74% of this is borrowed from similar champions	too close
27	Miss Fortune	bot in 62 games	62	-0.1 wins per 100 games (range -6.7 to 6.4) · 62 games · Pooled · 76% of this is borrowed from similar champions	too close
28	Yone	top in 54 games	55	-0.3 wins per 100 games (range -6.9 to 6.3) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
29	Pantheon	support in 28 games	55	-0.3 wins per 100 games (range -6.9 to 6.3) · 55 games · Pooled · 78% of this is borrowed from similar champions	too close
30	Karma	support in 59 games	60	-0.5 wins per 100 games (range -7.1 to 6.0) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
31	Gangplank	top in 60 games	60	-0.5 wins per 100 games (range -7.1 to 6.0) · 60 games · Pooled · 77% of this is borrowed from similar champions	too close
32	Ambessa	top in 54 games	70	-0.5 wins per 100 games (range -7.0 to 6.0) · 70 games · Pooled · 74% of this is borrowed from similar champions	too close
33	Caitlyn	bot in 85 games	85	-0.7 wins per 100 games (range -7.0 to 5.6) · 85 games · Pooled · 70% of this is borrowed from similar champions	too close
34	Ashe	bot in 51 games	53	-0.7 wins per 100 games (range -7.3 to 5.9) · 53 games · Pooled · 79% of this is borrowed from similar champions	too close
35	Vayne	top in 52 games	76	-1.6 wins per 100 games (range -8.0 to 4.8) · 76 games · Pooled · 72% of this is borrowed from similar champions	too close
36	Dr. Mundo	top in 46 games	56	-1.7 wins per 100 games (range -8.3 to 4.9) · 56 games · Pooled · 78% of this is borrowed from similar champions	too close
37	Nocturne	jungle in 48 games	50	-1.7 wins per 100 games (range -8.4 to 5.0) · 50 games · Pooled · 80% of this is borrowed from similar champions	too close
38	Ezreal	bot in 114 games	117	-2.3 wins per 100 games (range -8.3 to 3.8) · 117 games · Pooled · 63% of this is borrowed from similar champions	too close
39	Lee Sin	jungle in 105 games	108	-2.5 wins per 100 games (range -8.6 to 3.6) · 108 games · Pooled · 65% of this is borrowed from similar champions	too close
40	Nautilus	support in 72 games	75	-2.5 wins per 100 games (range -8.9 to 3.9) · 75 games · Pooled · 73% of this is borrowed from similar champions	too close
41	Bard	support in 63 games	63	-2.6 wins per 100 games (range -9.1 to 3.9) · 63 games · Pooled · 76% of this is borrowed from similar champions	too close
42	Kai'Sa	bot in 79 games	82	-2.6 wins per 100 games (range -9.0 to 3.7) · 82 games · Pooled · 71% of this is borrowed from similar champions	too close
43	Graves	jungle in 77 games	80	-3.4 wins per 100 games (range -9.7 to 3.0) · 80 games · Pooled · 71% 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 Vladimir'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.

128 more teammates, with 3,035 games between them, sit under the pair floor: counted, not listed.

How Vladimir's own games read

The average every delta above is measured against.

Vladimir won 766 of 1,515 games recorded in mid on patch 16.14. As an estimate: 50.6% (range 48.0-53.1) 1,515 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.

Vladimir needed 1,000 recorded mid 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 Vladimir build page · Vladimir 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