Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Valentino vs Kazuya 328–292 52.90%
Valentino vs Jin 343–230 59.86%
Valentino vs Bryan 204–236 46.36%
Valentino vs King 217–195 52.67%
Valentino vs Reina 203–179 53.14%
Valentino vs Hwoarang 189–154 55.10%
Valentino vs Heihachi 177–156 53.15%
Valentino vs Dragunov 139–181 43.44%
Valentino vs Paul 155–134 53.63%
Valentino vs Law 151–133 53.17%
Valentino vs Yoshimitsu 132–152 46.48%
Valentino vs Steve 145–122 54.31%
Valentino vs Lili 106–155 40.61%
Valentino vs Lee 67–131 33.84%
Valentino vs Devil Jin 93–100 48.19%
Valentino vs Jun 88–97 47.57%
Valentino vs Azucena 67–97 40.85%
Valentino vs Victor 68–93 42.24%
Valentino vs Lars 56–101 35.67%
Valentino vs Feng 69–81 46.00%
Valentino vs Asuka 64–84 43.24%
Valentino vs Nina 58–85 40.56%
Valentino vs Alisa 61–75 44.85%
Valentino vs Eddy 56–73 43.41%
Valentino vs Xiaoyu 50–65 43.48%
Valentino vs Jack-8 49–60 44.95%
Valentino vs Lidia 57–37 60.64%
Valentino vs Claudio 34–55 38.20%
Valentino vs Leo 41–46 47.13%
Valentino vs Clive 42–42 50.00%
Valentino vs Raven 29–52 35.80%
Valentino vs Shaheen 31–42 42.47%
Valentino vs Kuma 34–36 48.57%
Valentino vs Zafina 24–38 38.71%
Valentino vs Anna 22–33 40.00%
Valentino vs Fahkumram 17–37 31.48%
Valentino vs Leroy 23–27 46.00%
Valentino vs Panda 9–9 50.00%
Valentino vs Armor King 9–8 52.94%

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.