Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Valentino vs Jin 87–77 53.05%
Valentino vs Kazuya 81–81 50.00%
Valentino vs King 58–93 38.41%
Valentino vs Hwoarang 50–68 42.37%
Valentino vs Bryan 37–70 34.58%
Valentino vs Dragunov 48–58 45.28%
Valentino vs Steve 55–41 57.29%
Valentino vs Yoshimitsu 42–43 49.41%
Valentino vs Reina 36–37 49.32%
Valentino vs Law 24–46 34.29%
Valentino vs Paul 23–40 36.51%
Valentino vs Devil Jin 21–38 35.59%
Valentino vs Heihachi 22–30 42.31%
Valentino vs Lee 19–31 38.00%
Valentino vs Asuka 26–23 53.06%
Valentino vs Lars 21–28 42.86%
Valentino vs Lili 30–18 62.50%
Valentino vs Eddy 20–25 44.44%
Valentino vs Fahkumram 24–18 57.14%
Valentino vs Nina 16–25 39.02%
Valentino vs Lidia 20–18 52.63%
Valentino vs Jun 21–14 60.00%
Valentino vs Victor 18–16 52.94%
Valentino vs Leo 18–14 56.25%
Valentino vs Feng 10–20 33.33%
Valentino vs Azucena 17–13 56.67%
Valentino vs Alisa 14–15 48.28%
Valentino vs Claudio 13–15 46.43%
Valentino vs Xiaoyu 13–13 50.00%
Valentino vs Raven 10–12 45.45%
Valentino vs Kuma 12–8 60.00%
Valentino vs Zafina 10–6 62.50%
Valentino vs Clive 5–8 38.46%
Valentino vs Jack-8 3–7 30.00%
Valentino vs Shaheen 4–3 57.14%
Valentino vs Leroy 3–4 42.86%
Valentino vs Anna 1–6 14.29%
Valentino vs Panda 3–3 50.00%
Valentino vs Armor King 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.