Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

treea vs Jin 21–13 61.76%
treea vs Heihachi 16–12 57.14%
treea vs Law 14–11 56.00%
treea vs Yoshimitsu 14–11 56.00%
treea vs Kazuya 12–11 52.17%
treea vs Bryan 11–10 52.38%
treea vs Lars 11–8 57.89%
treea vs Devil Jin 4–10 28.57%
treea vs King 6–7 46.15%
treea vs Hwoarang 8–3 72.73%
treea vs Lili 4–7 36.36%
treea vs Jun 8–3 72.73%
treea vs Reina 5–6 45.45%
treea vs Victor 3–8 27.27%
treea vs Alisa 5–5 50.00%
treea vs Eddy 6–4 60.00%
treea vs Azucena 4–4 50.00%
treea vs Dragunov 5–2 71.43%
treea vs Paul 2–3 40.00%
treea vs Asuka 3–2 60.00%
treea vs Nina 2–3 40.00%
treea vs Kuma 1–4 20.00%
treea vs Zafina 3–2 60.00%
treea vs Xiaoyu 1–3 25.00%
treea vs Steve 4–0 100.00%
treea vs Feng 3–1 75.00%
treea vs Lee 2–1 66.67%
treea vs Jack-8 0–2 0.00%
treea vs Shaheen 2–0 100.00%
treea vs Lidia 0–2 0.00%
treea vs Claudio 0–1 0.00%
treea vs Leroy 1–0 100.00%

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.