Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mid Kazama vs Kazuya 31–18 63.27%
Mid Kazama vs Bryan 20–14 58.82%
Mid Kazama vs Heihachi 16–12 57.14%
Mid Kazama vs Reina 19–8 70.37%
Mid Kazama vs Jin 14–12 53.85%
Mid Kazama vs Steve 17–7 70.83%
Mid Kazama vs Devil Jin 17–7 70.83%
Mid Kazama vs Armor King 15–9 62.50%
Mid Kazama vs Dragunov 12–9 57.14%
Mid Kazama vs Law 12–8 60.00%
Mid Kazama vs King 11–9 55.00%
Mid Kazama vs Fahkumram 9–9 50.00%
Mid Kazama vs Lee 11–5 68.75%
Mid Kazama vs Miary Zo 10–6 62.50%
Mid Kazama vs Xiaoyu 8–6 57.14%
Mid Kazama vs Paul 9–3 75.00%
Mid Kazama vs Jun 6–6 50.00%
Mid Kazama vs Hwoarang 6–5 54.55%
Mid Kazama vs Lili 10–1 90.91%
Mid Kazama vs Leo 10–1 90.91%
Mid Kazama vs Alisa 4–6 40.00%
Mid Kazama vs Feng 5–4 55.56%
Mid Kazama vs Asuka 3–5 37.50%
Mid Kazama vs Raven 2–6 25.00%
Mid Kazama vs Eddy 5–2 71.43%
Mid Kazama vs Clive 5–2 71.43%
Mid Kazama vs Nina 5–1 83.33%
Mid Kazama vs Leroy 3–3 50.00%
Mid Kazama vs Yoshimitsu 3–2 60.00%
Mid Kazama vs Kuma 4–1 80.00%
Mid Kazama vs Anna 3–2 60.00%
Mid Kazama vs Jack-8 3–1 75.00%
Mid Kazama vs Lars 3–1 75.00%
Mid Kazama vs Azucena 4–0 100.00%
Mid Kazama vs Victor 1–3 25.00%
Mid Kazama vs Shaheen 1–2 33.33%
Mid Kazama vs Claudio 2–0 100.00%
Mid Kazama vs Panda 1–0 100.00%
Mid Kazama vs Zafina 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.