Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Buffritz vs Jin 82–100 45.05%
Buffritz vs Dragunov 77–91 45.83%
Buffritz vs Kazuya 84–74 53.16%
Buffritz vs King 66–64 50.77%
Buffritz vs Steve 64–56 53.33%
Buffritz vs Law 52–60 46.43%
Buffritz vs Paul 55–54 50.46%
Buffritz vs Bryan 48–55 46.60%
Buffritz vs Jun 52–50 50.98%
Buffritz vs Lili 39–60 39.39%
Buffritz vs Reina 48–49 49.48%
Buffritz vs Yoshimitsu 42–51 45.16%
Buffritz vs Asuka 39–50 43.82%
Buffritz vs Armor King 36–50 41.86%
Buffritz vs Devil Jin 37–48 43.53%
Buffritz vs Hwoarang 40–44 47.62%
Buffritz vs Victor 49–32 60.49%
Buffritz vs Lee 31–48 39.24%
Buffritz vs Xiaoyu 41–34 54.67%
Buffritz vs Lars 24–46 34.29%
Buffritz vs Feng 33–25 56.90%
Buffritz vs Alisa 27–31 46.55%
Buffritz vs Nina 26–32 44.83%
Buffritz vs Leroy 20–36 35.71%
Buffritz vs Claudio 17–27 38.64%
Buffritz vs Azucena 22–22 50.00%
Buffritz vs Leo 18–22 45.00%
Buffritz vs Eddy 17–22 43.59%
Buffritz vs Kuma 22–16 57.89%
Buffritz vs Heihachi 17–19 47.22%
Buffritz vs Jack-8 15–16 48.39%
Buffritz vs Raven 12–19 38.71%
Buffritz vs Lidia 11–14 44.00%
Buffritz vs Shaheen 8–15 34.78%
Buffritz vs Zafina 9–10 47.37%
Buffritz vs Anna 8–9 47.06%
Buffritz vs Fahkumram 6–11 35.29%
Buffritz vs Panda 3–10 23.08%
Buffritz vs Clive 4–3 57.14%
Buffritz vs Miary Zo 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.