Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Rising Monster vs King 13–16 44.83%
Rising Monster vs Kazuya 13–16 44.83%
Rising Monster vs Jin 13–14 48.15%
Rising Monster vs Bryan 9–12 42.86%
Rising Monster vs Steve 10–10 50.00%
Rising Monster vs Paul 12–7 63.16%
Rising Monster vs Nina 12–5 70.59%
Rising Monster vs Eddy 5–5 50.00%
Rising Monster vs Fahkumram 3–7 30.00%
Rising Monster vs Heihachi 4–5 44.44%
Rising Monster vs Law 1–6 14.29%
Rising Monster vs Hwoarang 6–1 85.71%
Rising Monster vs Devil Jin 4–3 57.14%
Rising Monster vs Dragunov 2–5 28.57%
Rising Monster vs Reina 7–0 100.00%
Rising Monster vs Armor King 3–4 42.86%
Rising Monster vs Alisa 4–2 66.67%
Rising Monster vs Clive 1–4 20.00%
Rising Monster vs Yoshimitsu 2–2 50.00%
Rising Monster vs Kuma 1–3 25.00%
Rising Monster vs Azucena 2–2 50.00%
Rising Monster vs Asuka 2–1 66.67%
Rising Monster vs Leo 1–2 33.33%
Rising Monster vs Lars 0–3 0.00%
Rising Monster vs Victor 1–2 33.33%
Rising Monster vs Raven 3–0 100.00%
Rising Monster vs Jack-8 2–0 100.00%
Rising Monster vs Zafina 2–0 100.00%
Rising Monster vs Jun 0–2 0.00%
Rising Monster vs Lidia 0–2 0.00%
Rising Monster vs Miary Zo 0–2 0.00%
Rising Monster vs Feng 0–1 0.00%
Rising Monster vs Lili 1–0 100.00%
Rising Monster vs Lee 0–1 0.00%
Rising Monster vs Leroy 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.