Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
night-dauphin

Ratings

night-dauphin vs Law 31–45 40.79%
night-dauphin vs Jin 34–38 47.22%
night-dauphin vs Kazuya 24–42 36.36%
night-dauphin vs King 27–32 45.76%
night-dauphin vs Eddy 23–26 46.94%
night-dauphin vs Hwoarang 25–23 52.08%
night-dauphin vs Yoshimitsu 17–23 42.50%
night-dauphin vs Paul 18–20 47.37%
night-dauphin vs Jun 14–24 36.84%
night-dauphin vs Steve 18–16 52.94%
night-dauphin vs Reina 18–15 54.55%
night-dauphin vs Lili 14–16 46.67%
night-dauphin vs Bryan 13–16 44.83%
night-dauphin vs Asuka 11–18 37.93%
night-dauphin vs Nina 13–15 46.43%
night-dauphin vs Azucena 14–12 53.85%
night-dauphin vs Lars 7–17 29.17%
night-dauphin vs Heihachi 5–19 20.83%
night-dauphin vs Victor 11–11 50.00%
night-dauphin vs Devil Jin 7–14 33.33%
night-dauphin vs Dragunov 7–11 38.89%
night-dauphin vs Lee 7–8 46.67%
night-dauphin vs Xiaoyu 7–7 50.00%
night-dauphin vs Jack-8 5–9 35.71%
night-dauphin vs Feng 5–9 35.71%
night-dauphin vs Leroy 7–6 53.85%
night-dauphin vs Leo 2–6 25.00%
night-dauphin vs Raven 1–6 14.29%
night-dauphin vs Alisa 4–2 66.67%
night-dauphin vs Kuma 4–1 80.00%
night-dauphin vs Lidia 0–4 0.00%
night-dauphin vs Panda 2–1 66.67%
night-dauphin vs Zafina 0–3 0.00%
night-dauphin vs Claudio 0–2 0.00%
night-dauphin vs Shaheen 1–1 50.00%

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.