Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Adjablon vs Kazuya 98–104–1 48.51%
Adjablon vs Jin 85–79–1 51.83%
Adjablon vs King 82–74 52.56%
Adjablon vs Bryan 61–51 54.46%
Adjablon vs Reina 54–53 50.47%
Adjablon vs Hwoarang 32–58 35.56%
Adjablon vs Paul 50–30 62.50%
Adjablon vs Steve 42–31 57.53%
Adjablon vs Devil Jin 35–37 48.61%
Adjablon vs Yoshimitsu 36–34 51.43%
Adjablon vs Lili 29–40 42.03%
Adjablon vs Lee 29–40 42.03%
Adjablon vs Law 40–28 58.82%
Adjablon vs Heihachi 41–25 62.12%
Adjablon vs Dragunov 37–25 59.68%
Adjablon vs Jun 24–29 45.28%
Adjablon vs Xiaoyu 30–21 58.82%
Adjablon vs Azucena 29–22 56.86%
Adjablon vs Asuka 30–20 60.00%
Adjablon vs Fahkumram 24–20 54.55%
Adjablon vs Alisa 17–25 40.48%
Adjablon vs Feng 18–23 43.90%
Adjablon vs Victor 23–18 56.10%
Adjablon vs Nina 24–16 60.00%
Adjablon vs Lidia 20–20 50.00%
Adjablon vs Eddy 16–20 44.44%
Adjablon vs Clive 14–18 43.75%
Adjablon vs Lars 8–22 26.67%
Adjablon vs Claudio 13–16 44.83%
Adjablon vs Armor King 8–20 28.57%
Adjablon vs Jack-8 15–11 57.69%
Adjablon vs Shaheen 7–17 29.17%
Adjablon vs Leroy 10–13 43.48%
Adjablon vs Leo 13–8 61.90%
Adjablon vs Panda 9–7 56.25%
Adjablon vs Raven 8–6 57.14%
Adjablon vs Zafina 9–2 81.82%
Adjablon vs Miary Zo 3–6 33.33%
Adjablon vs Kuma 4–4 50.00%
Adjablon vs Anna 3–2 60.00%

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.