Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Professor_Oak vs Clive 52–51 50.49%
Professor_Oak vs Reina 29–13 69.05%
Professor_Oak vs Heihachi 19–5 79.17%
Professor_Oak vs Jin 12–11 52.17%
Professor_Oak vs Hwoarang 8–12 40.00%
Professor_Oak vs Bryan 10–10 50.00%
Professor_Oak vs Steve 13–7 65.00%
Professor_Oak vs King 8–11 42.11%
Professor_Oak vs Kazuya 4–15 21.05%
Professor_Oak vs Lili 11–6 64.71%
Professor_Oak vs Dragunov 10–6 62.50%
Professor_Oak vs Nina 6–10 37.50%
Professor_Oak vs Alisa 10–5 66.67%
Professor_Oak vs Eddy 5–9 35.71%
Professor_Oak vs Lidia 6–6 50.00%
Professor_Oak vs Leo 8–3 72.73%
Professor_Oak vs Yoshimitsu 6–3 66.67%
Professor_Oak vs Azucena 6–3 66.67%
Professor_Oak vs Paul 1–7 12.50%
Professor_Oak vs Law 3–5 37.50%
Professor_Oak vs Jun 2–5 28.57%
Professor_Oak vs Lee 5–1 83.33%
Professor_Oak vs Leroy 4–2 66.67%
Professor_Oak vs Xiaoyu 3–2 60.00%
Professor_Oak vs Asuka 1–4 20.00%
Professor_Oak vs Kuma 3–2 60.00%
Professor_Oak vs Victor 4–1 80.00%
Professor_Oak vs Devil Jin 2–2 50.00%
Professor_Oak vs Feng 1–3 25.00%
Professor_Oak vs Lars 3–1 75.00%
Professor_Oak vs Jack-8 0–3 0.00%
Professor_Oak vs Shaheen 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.