Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Ledge Lover

Ratings

Ledge Lover vs Kazuya 58–54 51.79%
Ledge Lover vs Heihachi 65–40 61.90%
Ledge Lover vs Jin 63–38 62.38%
Ledge Lover vs King 44–30 59.46%
Ledge Lover vs Bryan 22–33 40.00%
Ledge Lover vs Hwoarang 25–26 49.02%
Ledge Lover vs Paul 22–24 47.83%
Ledge Lover vs Devil Jin 28–18 60.87%
Ledge Lover vs Reina 24–17 58.54%
Ledge Lover vs Dragunov 14–25 35.90%
Ledge Lover vs Lee 17–22 43.59%
Ledge Lover vs Lili 14–21 40.00%
Ledge Lover vs Yoshimitsu 18–15 54.55%
Ledge Lover vs Victor 15–13 53.57%
Ledge Lover vs Law 11–15 42.31%
Ledge Lover vs Steve 9–17 34.62%
Ledge Lover vs Azucena 14–11 56.00%
Ledge Lover vs Xiaoyu 8–16 33.33%
Ledge Lover vs Clive 15–9 62.50%
Ledge Lover vs Asuka 9–13 40.91%
Ledge Lover vs Jun 12–10 54.55%
Ledge Lover vs Eddy 11–11 50.00%
Ledge Lover vs Jack-8 11–7 61.11%
Ledge Lover vs Alisa 6–12 33.33%
Ledge Lover vs Lidia 11–7 61.11%
Ledge Lover vs Leroy 11–5 68.75%
Ledge Lover vs Lars 9–6 60.00%
Ledge Lover vs Nina 4–9 30.77%
Ledge Lover vs Feng 2–9 18.18%
Ledge Lover vs Claudio 5–6 45.45%
Ledge Lover vs Leo 1–7 12.50%
Ledge Lover vs Raven 5–3 62.50%
Ledge Lover vs Anna 1–4 20.00%
Ledge Lover vs Shaheen 1–2 33.33%
Ledge Lover vs Kuma 2–1 66.67%
Ledge Lover vs Panda 2–0 100.00%
Ledge Lover vs Zafina 0–1 0.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.