Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Ocharita

Ratings

Ocharita vs King 89–68 56.69%
Ocharita vs Kazuya 47–65 41.96%
Ocharita vs Law 43–58 42.57%
Ocharita vs Steve 45–52 46.39%
Ocharita vs Eddy 35–54 39.33%
Ocharita vs Jin 33–52 38.82%
Ocharita vs Armor King 29–52–1 35.80%
Ocharita vs Heihachi 32–38 45.71%
Ocharita vs Bryan 20–49 28.99%
Ocharita vs Hwoarang 21–38 35.59%
Ocharita vs Jun 24–33 42.11%
Ocharita vs Reina 24–30 44.44%
Ocharita vs Asuka 21–31 40.38%
Ocharita vs Clive 17–35 32.69%
Ocharita vs Lili 26–24 52.00%
Ocharita vs Dragunov 23–27 46.00%
Ocharita vs Yoshimitsu 18–29 38.30%
Ocharita vs Xiaoyu 18–28 39.13%
Ocharita vs Fahkumram 15–24 38.46%
Ocharita vs Nina 13–24 35.14%
Ocharita vs Leo 16–19 45.71%
Ocharita vs Azucena 20–12 62.50%
Ocharita vs Lee 7–23 23.33%
Ocharita vs Paul 8–21 27.59%
Ocharita vs Lars 13–15 46.43%
Ocharita vs Raven 11–17 39.29%
Ocharita vs Alisa 10–17 37.04%
Ocharita vs Leroy 9–18 33.33%
Ocharita vs Zafina 15–10 60.00%
Ocharita vs Jack-8 5–18 21.74%
Ocharita vs Devil Jin 10–12 45.45%
Ocharita vs Lidia 5–17 22.73%
Ocharita vs Victor 5–16 23.81%
Ocharita vs Claudio 12–8 60.00%
Ocharita vs Anna 9–11 45.00%
Ocharita vs Feng 5–9 35.71%
Ocharita vs Shaheen 3–7 30.00%
Ocharita vs Panda 2–7 22.22%
Ocharita vs Kuma 0–7 0.00%
Ocharita vs Miary Zo 1–4 20.00%

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.