Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Neo99 vs Jin 13–14 48.15%
Neo99 vs Yoshimitsu 10–6 62.50%
Neo99 vs Reina 7–9 43.75%
Neo99 vs Azucena 7–9 43.75%
Neo99 vs King 12–3 80.00%
Neo99 vs Hwoarang 8–7 53.33%
Neo99 vs Law 7–7 50.00%
Neo99 vs Steve 3–10 23.08%
Neo99 vs Kazuya 5–7 41.67%
Neo99 vs Eddy 5–7 41.67%
Neo99 vs Dragunov 5–6 45.45%
Neo99 vs Bryan 7–3 70.00%
Neo99 vs Armor King 8–2 80.00%
Neo99 vs Lee 2–7 22.22%
Neo99 vs Heihachi 6–3 66.67%
Neo99 vs Xiaoyu 4–4 50.00%
Neo99 vs Miary Zo 4–4 50.00%
Neo99 vs Lili 5–2 71.43%
Neo99 vs Leroy 5–2 71.43%
Neo99 vs Nina 5–1 83.33%
Neo99 vs Devil Jin 2–3 40.00%
Neo99 vs Feng 2–3 40.00%
Neo99 vs Lars 1–4 20.00%
Neo99 vs Paul 2–2 50.00%
Neo99 vs Alisa 2–1 66.67%
Neo99 vs Jun 2–1 66.67%
Neo99 vs Victor 0–3 0.00%
Neo99 vs Raven 0–3 0.00%
Neo99 vs Lidia 2–1 66.67%
Neo99 vs Asuka 0–2 0.00%
Neo99 vs Shaheen 2–0 100.00%
Neo99 vs Kuma 0–2 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.