Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MAPL vs Clive 13–24 35.14%
MAPL vs King 21–14 60.00%
MAPL vs Kazuya 17–11 60.71%
MAPL vs Reina 16–11 59.26%
MAPL vs Lili 17–9 65.38%
MAPL vs Paul 14–4 77.78%
MAPL vs Steve 14–4 77.78%
MAPL vs Yoshimitsu 8–9 47.06%
MAPL vs Hwoarang 9–8 52.94%
MAPL vs Bryan 10–7 58.82%
MAPL vs Devil Jin 10–7 58.82%
MAPL vs Dragunov 7–10 41.18%
MAPL vs Victor 7–9 43.75%
MAPL vs Jin 10–5 66.67%
MAPL vs Nina 6–4 60.00%
MAPL vs Azucena 7–3 70.00%
MAPL vs Jun 3–6 33.33%
MAPL vs Law 3–5 37.50%
MAPL vs Asuka 3–5 37.50%
MAPL vs Feng 1–6 14.29%
MAPL vs Leo 2–5 28.57%
MAPL vs Heihachi 3–3 50.00%
MAPL vs Lee 3–2 60.00%
MAPL vs Eddy 3–2 60.00%
MAPL vs Shaheen 1–3 25.00%
MAPL vs Leroy 2–2 50.00%
MAPL vs Xiaoyu 1–2 33.33%
MAPL vs Claudio 1–2 33.33%
MAPL vs Zafina 0–3 0.00%
MAPL vs Fahkumram 2–1 66.67%
MAPL vs Lidia 2–0 100.00%
MAPL vs Lars 1–0 100.00%
MAPL vs Alisa 0–1 0.00%
MAPL vs Panda 0–1 0.00%
MAPL vs Anna 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.