Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

mimimeow vs Kazuya 122–98 55.45%
mimimeow vs Jin 87–77 53.05%
mimimeow vs Bryan 98–66 59.76%
mimimeow vs Dragunov 77–81 48.73%
mimimeow vs Hwoarang 70–75 48.28%
mimimeow vs King 74–68 52.11%
mimimeow vs Reina 63–78 44.68%
mimimeow vs Law 63–60 51.22%
mimimeow vs Lili 70–52 57.38%
mimimeow vs Asuka 65–29 69.15%
mimimeow vs Paul 43–47 47.78%
mimimeow vs Steve 48–42 53.33%
mimimeow vs Lars 40–46 46.51%
mimimeow vs Heihachi 36–42 46.15%
mimimeow vs Nina 39–32 54.93%
mimimeow vs Jun 35–35 50.00%
mimimeow vs Lee 36–30 54.55%
mimimeow vs Xiaoyu 35–29 54.69%
mimimeow vs Yoshimitsu 24–35 40.68%
mimimeow vs Devil Jin 27–29 48.21%
mimimeow vs Clive 23–24 48.94%
mimimeow vs Claudio 14–32 30.43%
mimimeow vs Anna 17–28 37.78%
mimimeow vs Azucena 22–20 52.38%
mimimeow vs Victor 16–26 38.10%
mimimeow vs Fahkumram 17–24 41.46%
mimimeow vs Leroy 16–24 40.00%
mimimeow vs Armor King 17–23 42.50%
mimimeow vs Lidia 16–23 41.03%
mimimeow vs Feng 18–18 50.00%
mimimeow vs Alisa 14–19 42.42%
mimimeow vs Leo 10–14 41.67%
mimimeow vs Jack-8 9–14 39.13%
mimimeow vs Raven 10–13 43.48%
mimimeow vs Eddy 6–14 30.00%
mimimeow vs Kuma 8–11 42.11%
mimimeow vs Zafina 4–15 21.05%
mimimeow vs Miary Zo 1–10 9.09%
mimimeow vs Shaheen 7–2 77.78%
mimimeow vs Panda 2–1 66.67%

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.