Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

poke vs Jin 32–20 61.54%
poke vs Kazuya 35–13 72.92%
poke vs Reina 24–12 66.67%
poke vs Dragunov 21–14 60.00%
poke vs Hwoarang 17–14 54.84%
poke vs Yoshimitsu 14–11 56.00%
poke vs Lili 15–10 60.00%
poke vs Asuka 13–11 54.17%
poke vs Eddy 19–5 79.17%
poke vs King 14–9 60.87%
poke vs Feng 13–8 61.90%
poke vs Alisa 11–9 55.00%
poke vs Victor 3–17 15.00%
poke vs Bryan 10–7 58.82%
poke vs Steve 9–8 52.94%
poke vs Claudio 13–3 81.25%
poke vs Law 6–9 40.00%
poke vs Devil Jin 7–8 46.67%
poke vs Nina 10–4 71.43%
poke vs Lars 2–11 15.38%
poke vs Jun 7–5 58.33%
poke vs Xiaoyu 6–5 54.55%
poke vs Paul 7–2 77.78%
poke vs Lee 4–5 44.44%
poke vs Leroy 6–2 75.00%
poke vs Azucena 6–2 75.00%
poke vs Kuma 3–4 42.86%
poke vs Jack-8 3–3 50.00%
poke vs Zafina 2–2 50.00%
poke vs Shaheen 2–1 66.67%
poke vs Raven 2–1 66.67%
poke vs Leo 2–0 100.00%
poke vs Panda 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.