Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Woody Ina Hoody

Ratings

Woody Ina Hoody vs Reina 23–21 52.27%
Woody Ina Hoody vs King 6–23 20.69%
Woody Ina Hoody vs Hwoarang 6–17 26.09%
Woody Ina Hoody vs Jin 6–12 33.33%
Woody Ina Hoody vs Eddy 7–11 38.89%
Woody Ina Hoody vs Steve 8–7 53.33%
Woody Ina Hoody vs Azucena 5–10 33.33%
Woody Ina Hoody vs Dragunov 7–6 53.85%
Woody Ina Hoody vs Alisa 6–7 46.15%
Woody Ina Hoody vs Law 4–8 33.33%
Woody Ina Hoody vs Yoshimitsu 5–7 41.67%
Woody Ina Hoody vs Nina 4–8 33.33%
Woody Ina Hoody vs Jun 4–8 33.33%
Woody Ina Hoody vs Victor 6–6 50.00%
Woody Ina Hoody vs Kazuya 7–4 63.64%
Woody Ina Hoody vs Jack-8 2–8 20.00%
Woody Ina Hoody vs Devil Jin 6–4 60.00%
Woody Ina Hoody vs Leo 5–5 50.00%
Woody Ina Hoody vs Lee 4–5 44.44%
Woody Ina Hoody vs Kuma 3–6 33.33%
Woody Ina Hoody vs Xiaoyu 3–5 37.50%
Woody Ina Hoody vs Lili 5–3 62.50%
Woody Ina Hoody vs Lidia 1–7 12.50%
Woody Ina Hoody vs Heihachi 2–6 25.00%
Woody Ina Hoody vs Bryan 4–3 57.14%
Woody Ina Hoody vs Feng 4–3 57.14%
Woody Ina Hoody vs Raven 4–3 57.14%
Woody Ina Hoody vs Lars 3–3 50.00%
Woody Ina Hoody vs Zafina 4–2 66.67%
Woody Ina Hoody vs Paul 4–0 100.00%
Woody Ina Hoody vs Leroy 1–2 33.33%
Woody Ina Hoody vs Shaheen 2–0 100.00%
Woody Ina Hoody vs Panda 0–2 0.00%
Woody Ina Hoody vs Asuka 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.