Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Thegamer22 vs Jin 25–29 46.30%
Thegamer22 vs Law 17–28 37.78%
Thegamer22 vs Steve 18–21 46.15%
Thegamer22 vs King 11–25 30.56%
Thegamer22 vs Hwoarang 17–18 48.57%
Thegamer22 vs Lili 13–22 37.14%
Thegamer22 vs Armor King 9–19 32.14%
Thegamer22 vs Kazuya 7–18 28.00%
Thegamer22 vs Miary Zo 9–15 37.50%
Thegamer22 vs Bryan 8–13 38.10%
Thegamer22 vs Reina 12–8 60.00%
Thegamer22 vs Nina 5–10 33.33%
Thegamer22 vs Clive 2–13 13.33%
Thegamer22 vs Fahkumram 1–13 7.14%
Thegamer22 vs Alisa 3–10 23.08%
Thegamer22 vs Victor 6–6 50.00%
Thegamer22 vs Yoshimitsu 3–7 30.00%
Thegamer22 vs Lars 3–7 30.00%
Thegamer22 vs Jack-8 2–7 22.22%
Thegamer22 vs Lee 3–6 33.33%
Thegamer22 vs Azucena 5–4 55.56%
Thegamer22 vs Eddy 4–5 44.44%
Thegamer22 vs Xiaoyu 1–7 12.50%
Thegamer22 vs Zafina 3–5 37.50%
Thegamer22 vs Raven 2–6 25.00%
Thegamer22 vs Lidia 3–5 37.50%
Thegamer22 vs Heihachi 7–1 87.50%
Thegamer22 vs Leo 4–3 57.14%
Thegamer22 vs Asuka 2–3 40.00%
Thegamer22 vs Feng 2–2 50.00%
Thegamer22 vs Shaheen 3–1 75.00%
Thegamer22 vs Jun 2–2 50.00%
Thegamer22 vs Claudio 2–1 66.67%
Thegamer22 vs Anna 3–0 100.00%
Thegamer22 vs Devil Jin 0–2 0.00%
Thegamer22 vs Dragunov 1–1 50.00%
Thegamer22 vs Panda 2–0 100.00%
Thegamer22 vs Leroy 2–0 100.00%
Thegamer22 vs Paul 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.