Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

WildBill vs Kazuya 18–24 42.86%
WildBill vs Jin 12–20 37.50%
WildBill vs King 9–21 30.00%
WildBill vs Jun 11–18 37.93%
WildBill vs Yoshimitsu 14–13 51.85%
WildBill vs Bryan 12–12 50.00%
WildBill vs Reina 6–15 28.57%
WildBill vs Dragunov 8–11 42.11%
WildBill vs Xiaoyu 9–8 52.94%
WildBill vs Hwoarang 8–5 61.54%
WildBill vs Lili 6–6 50.00%
WildBill vs Eddy 3–9 25.00%
WildBill vs Paul 5–6 45.45%
WildBill vs Azucena 3–8 27.27%
WildBill vs Steve 3–7 30.00%
WildBill vs Lars 3–6 33.33%
WildBill vs Devil Jin 1–7 12.50%
WildBill vs Leo 3–5 37.50%
WildBill vs Claudio 4–4 50.00%
WildBill vs Feng 6–1 85.71%
WildBill vs Kuma 2–5 28.57%
WildBill vs Asuka 3–3 50.00%
WildBill vs Victor 1–5 16.67%
WildBill vs Raven 1–5 16.67%
WildBill vs Law 2–3 40.00%
WildBill vs Alisa 0–5 0.00%
WildBill vs Zafina 1–4 20.00%
WildBill vs Shaheen 1–3 25.00%
WildBill vs Nina 1–3 25.00%
WildBill vs Jack-8 0–2 0.00%
WildBill vs Leroy 2–0 100.00%
WildBill vs Lee 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.