Support · patch 16.18

Milio

The Gentle Flame  /  Support, Mage

Adjusted
40.6%
Win rate
50.0%
Pick
3.5%
Ban
0.8%
Games
106
Tier
B

On patch 16.18, Milio won 50.0% of 106 ranked solo games as support in the games Riftline holds, a rate the sample supports down to 40.6%. Milio was picked in 3.5% of games and banned in 0.8%.

That places Milio in tier B among support 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 support ends 0.8 / 4.5 / 16.0 with 1.0 CS a minute and 6,339 damage to champions.

Milio is a warmhearted boy from Ixtal who has, despite his young age, mastered the fire axiom and discovered something new: soothing fire. With this newfound power, Milio plans to help his family escape their exile by joining the Yun Tal—just like his...

Role
3.0k matches on patch 16.18
KDA
3.77
K / D / A
0.8 / 4.5 / 16.0
CS per min
1.0
Gold
8.0k
Damage
6.3k
Vision
75
The champion
The numbers

These are the builds players finished games with, not the order they bought things in. Riot's match data records the final inventory, and the slots carry no purchase order. Fetch match timelines and a real build order appears here.

Most built items

Counted individually, so this survives a small sample best.

50.7%

73 games, 69%

54.4%

57 games, 54%

54.0%

50 games, 47%

57.1%

14 games, 13%

25.0%

12 games, 11%

41.7%

12 games, 11%

80.0%

5 games, 5%

Completed builds

The full set of finished items, most common first.

  • Moonstone Renewer, Echoes of Helia

    50.0%

    22 games, 21%

  • Ardent Censer, Echoes of Helia

    46.7%

    15 games, 14%

  • Echoes of Helia

    62.5%

    8 games, 8%

  • Ardent Censer, Moonstone Renewer, Echoes of Helia

    71.4%

    7 games, 7%

  • Ardent Censer, Moonstone Renewer

    100.0%

    5 games, 5%

Boots

51.6%

91 games, 86%

66.7%

6 games, 6%

Summoner spells

FlashHeal

49.5%

103 games, 97%

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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