Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lunch vs Law 13–24 35.14%
Lunch vs Jin 15–21 41.67%
Lunch vs King 9–22 29.03%
Lunch vs Miary Zo 12–11 52.17%
Lunch vs Hwoarang 14–7 66.67%
Lunch vs Steve 5–14 26.32%
Lunch vs Kazuya 2–15 11.76%
Lunch vs Lili 1–16 5.88%
Lunch vs Reina 9–7 56.25%
Lunch vs Azucena 2–11 15.38%
Lunch vs Fahkumram 5–6 45.45%
Lunch vs Dragunov 4–6 40.00%
Lunch vs Lee 4–6 40.00%
Lunch vs Paul 5–4 55.56%
Lunch vs Bryan 7–2 77.78%
Lunch vs Heihachi 5–4 55.56%
Lunch vs Yoshimitsu 3–5 37.50%
Lunch vs Jun 2–6 25.00%
Lunch vs Eddy 0–8 0.00%
Lunch vs Xiaoyu 4–3 57.14%
Lunch vs Alisa 0–6 0.00%
Lunch vs Nina 2–4 33.33%
Lunch vs Leroy 4–2 66.67%
Lunch vs Armor King 4–2 66.67%
Lunch vs Jack-8 1–4 20.00%
Lunch vs Anna 1–4 20.00%
Lunch vs Asuka 2–2 50.00%
Lunch vs Claudio 2–2 50.00%
Lunch vs Raven 1–3 25.00%
Lunch vs Leo 1–2 33.33%
Lunch vs Lars 1–2 33.33%
Lunch vs Devil Jin 0–2 0.00%
Lunch vs Kuma 0–2 0.00%
Lunch vs Zafina 0–2 0.00%
Lunch vs Victor 0–1 0.00%
Lunch vs Lidia 0–1 0.00%
Lunch vs Clive 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.