Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lander vs Jin 25–41 37.88%
lander vs Kazuya 26–40 39.39%
lander vs Eddy 29–32 47.54%
lander vs King 29–31 48.33%
lander vs Hwoarang 30–25 54.55%
lander vs Law 24–28 46.15%
lander vs Reina 28–23 54.90%
lander vs Yoshimitsu 18–27 40.00%
lander vs Steve 20–22 47.62%
lander vs Jun 17–24 41.46%
lander vs Paul 12–19 38.71%
lander vs Asuka 9–22 29.03%
lander vs Lili 8–23 25.81%
lander vs Lee 10–17 37.04%
lander vs Leo 13–13 50.00%
lander vs Azucena 13–13 50.00%
lander vs Bryan 11–14 44.00%
lander vs Feng 8–17 32.00%
lander vs Devil Jin 10–14 41.67%
lander vs Victor 7–15 31.82%
lander vs Lars 11–9 55.00%
lander vs Raven 9–10 47.37%
lander vs Dragunov 8–9 47.06%
lander vs Claudio 6–10 37.50%
lander vs Nina 5–11 31.25%
lander vs Xiaoyu 5–8 38.46%
lander vs Alisa 5–8 38.46%
lander vs Kuma 5–8 38.46%
lander vs Jack-8 5–7 41.67%
lander vs Shaheen 4–6 40.00%
lander vs Zafina 4–4 50.00%
lander vs Leroy 3–5 37.50%
lander vs Lidia 5–3 62.50%
lander vs Panda 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.