Riftline.

Jungle · patch 16.18

Rek'Sai

the Void Burrower  /  Fighter, Tank

Jungle 76%, Top 17%, Support 6%

Adjusted
45.6%
Win rate
57.6%
Pick
2.6%
-2.6 since 16.17
Ban
1.4%
Games
66
Tier
S

On patch 16.18, Rek'Sai won 57.6% of 66 ranked solo games as jungle in the games Riftline holds, a rate the sample supports down to 45.6%. Rek'Sai was picked in 2.6% of games and banned in 1.4%. Rek'Sai is played jungle in 76% of games, top in 17% and support in 6%.

That places Rek'Sai in tier S among jungle champions on this patch, ranked by that lower figure rather than the raw win rate, so a champion with few games does not outrank one with many.

A typical game as jungle ends 6.5 / 4.5 / 7.8 with 6.8 CS a minute and 16,281 damage to champions.

An apex predator, Rek'Sai is a merciless Void-spawn that tunnels beneath the ground to ambush and devour unsuspecting prey. Her insatiable hunger has laid waste to entire regions of the once-great empire of Shurima—merchants, traders, even armed...

Role
2.5k matches on patch 16.18
KDA
3.19
K / D / A
6.5 / 4.5 / 7.8
CS per min
6.8
Gold
12k
Damage
16k
Vision
24

Build path

The first three completed items, in the order they were actually bought.

  • Titanic Hydra › Spear of Shojin › Sterak's Gage

    62.5%

    8 games, 12%

Most built items

Counted individually, so this survives a small sample best.

64.7%

51 games, 77%

51.0%

51 games, 77%

66.7%

18 games, 27%

57.1%

14 games, 21%

91.7%

12 games, 18%

40.0%

5 games, 8%

Completed builds

The full set of finished items, most common first.

  • Spear of Shojin, Titanic Hydra

    57.9%

    19 games, 29%

  • Sterak's Gage, Spear of Shojin, Titanic Hydra

    75.0%

    8 games, 12%

  • Spear of Shojin, Titanic Hydra, Death's Dance

    100.0%

    5 games, 8%

  • Titanic Hydra

    0.0%

    5 games, 8%

Boots

58.3%

36 games, 55%

57.1%

14 games, 21%

28.6%

7 games, 11%

Summoner spells

FlashSmite

56.9%

65 games, 98%

Back to the tier list

How our numbers are made: the score's weights and how well they track wins, the win-chance model's accuracy, and the rules behind the death review.

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