Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

PaolinoPaperini vs Eddy 2–39 4.88%
PaolinoPaperini vs King 9–30 23.08%
PaolinoPaperini vs Hwoarang 11–26 29.73%
PaolinoPaperini vs Reina 15–22 40.54%
PaolinoPaperini vs Jin 3–24 11.11%
PaolinoPaperini vs Dragunov 8–17 32.00%
PaolinoPaperini vs Kazuya 6–16 27.27%
PaolinoPaperini vs Bryan 3–17 15.00%
PaolinoPaperini vs Lidia 7–13 35.00%
PaolinoPaperini vs Yoshimitsu 8–11 42.11%
PaolinoPaperini vs Feng 1–18 5.26%
PaolinoPaperini vs Devil Jin 6–10 37.50%
PaolinoPaperini vs Victor 6–10 37.50%
PaolinoPaperini vs Law 3–12 20.00%
PaolinoPaperini vs Asuka 3–11 21.43%
PaolinoPaperini vs Azucena 3–11 21.43%
PaolinoPaperini vs Jun 3–10 23.08%
PaolinoPaperini vs Steve 5–7 41.67%
PaolinoPaperini vs Lili 0–10 0.00%
PaolinoPaperini vs Lars 2–8 20.00%
PaolinoPaperini vs Paul 3–6 33.33%
PaolinoPaperini vs Xiaoyu 1–8 11.11%
PaolinoPaperini vs Claudio 3–5 37.50%
PaolinoPaperini vs Lee 3–5 37.50%
PaolinoPaperini vs Leroy 4–3 57.14%
PaolinoPaperini vs Leo 3–2 60.00%
PaolinoPaperini vs Nina 0–4 0.00%
PaolinoPaperini vs Jack-8 0–3 0.00%
PaolinoPaperini vs Shaheen 1–2 33.33%
PaolinoPaperini vs Kuma 0–2 0.00%
PaolinoPaperini vs Raven 2–0 100.00%
PaolinoPaperini vs Heihachi 1–1 50.00%
PaolinoPaperini vs Panda 0–1 0.00%
PaolinoPaperini 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.