Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

itstoastloves vs Reina 19–15 55.88%
itstoastloves vs King 15–13 53.57%
itstoastloves vs Jin 16–12 57.14%
itstoastloves vs Bryan 7–12 36.84%
itstoastloves vs Lidia 8–11 42.11%
itstoastloves vs Armor King 10–8 55.56%
itstoastloves vs Hwoarang 12–4 75.00%
itstoastloves vs Kazuya 10–6 62.50%
itstoastloves vs Eddy 4–8 33.33%
itstoastloves vs Paul 6–5 54.55%
itstoastloves vs Asuka 5–6 45.45%
itstoastloves vs Feng 3–7 30.00%
itstoastloves vs Lili 5–5 50.00%
itstoastloves vs Azucena 5–5 50.00%
itstoastloves vs Yoshimitsu 7–2 77.78%
itstoastloves vs Dragunov 4–5 44.44%
itstoastloves vs Claudio 5–4 55.56%
itstoastloves vs Miary Zo 7–2 77.78%
itstoastloves vs Steve 2–5 28.57%
itstoastloves vs Lars 5–1 83.33%
itstoastloves vs Zafina 3–3 50.00%
itstoastloves vs Nina 2–3 40.00%
itstoastloves vs Victor 3–2 60.00%
itstoastloves vs Xiaoyu 3–1 75.00%
itstoastloves vs Devil Jin 3–1 75.00%
itstoastloves vs Kuma 2–2 50.00%
itstoastloves vs Law 0–3 0.00%
itstoastloves vs Shaheen 2–1 66.67%
itstoastloves vs Lee 1–2 33.33%
itstoastloves vs Jun 2–1 66.67%
itstoastloves vs Heihachi 1–2 33.33%
itstoastloves vs Jack-8 0–2 0.00%
itstoastloves vs Panda 0–2 0.00%
itstoastloves vs Leroy 0–2 0.00%
itstoastloves vs Raven 2–0 100.00%
itstoastloves vs Leo 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.