Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Riestra vs Kazuya 274–301 47.65%
Riestra vs Jin 176–218 44.67%
Riestra vs Bryan 181–190 48.79%
Riestra vs King 158–185 46.06%
Riestra vs Hwoarang 155–178 46.55%
Riestra vs Reina 138–175 44.09%
Riestra vs Steve 114–144 44.19%
Riestra vs Heihachi 113–135 45.56%
Riestra vs Law 104–128 44.83%
Riestra vs Dragunov 95–130–1 42.22%
Riestra vs Paul 102–123 45.33%
Riestra vs Yoshimitsu 118–96–1 55.14%
Riestra vs Lili 98–101 49.25%
Riestra vs Devil Jin 88–86 50.57%
Riestra vs Lidia 62–97 38.99%
Riestra vs Asuka 76–75 50.33%
Riestra vs Lee 77–70 52.38%
Riestra vs Jun 70–74–3 48.61%
Riestra vs Alisa 69–62 52.67%
Riestra vs Azucena 70–54 56.45%
Riestra vs Feng 58–63 47.93%
Riestra vs Nina 57–63 47.50%
Riestra vs Lars 55–57–1 49.11%
Riestra vs Xiaoyu 44–65 40.37%
Riestra vs Eddy 64–43 59.81%
Riestra vs Jack-8 48–56 46.15%
Riestra vs Clive 54–41 56.84%
Riestra vs Victor 42–49–1 46.15%
Riestra vs Claudio 42–46 47.73%
Riestra vs Leo 36–39 48.00%
Riestra vs Raven 35–37 48.61%
Riestra vs Leroy 32–32 50.00%
Riestra vs Kuma 33–25 56.90%
Riestra vs Anna 23–18 56.10%
Riestra vs Zafina 23–14 62.16%
Riestra vs Shaheen 10–23 30.30%
Riestra vs Fahkumram 13–10 56.52%
Riestra vs Panda 10–10 50.00%
Riestra vs Armor King 4–5 44.44%
Riestra vs Miary Zo 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.