Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

adjentist vs Kazuya 63–40 61.17%
adjentist vs Reina 56–38 59.57%
adjentist vs Bryan 52–33 61.18%
adjentist vs King 56–23 70.89%
adjentist vs Jin 52–26 66.67%
adjentist vs Hwoarang 29–36 44.62%
adjentist vs Lili 41–23 64.06%
adjentist vs Lidia 31–32 49.21%
adjentist vs Heihachi 40–21 65.57%
adjentist vs Clive 35–25 58.33%
adjentist vs Steve 44–14 75.86%
adjentist vs Nina 35–18 66.04%
adjentist vs Jun 28–21 57.14%
adjentist vs Dragunov 21–27 43.75%
adjentist vs Law 30–17 63.83%
adjentist vs Yoshimitsu 25–21 54.35%
adjentist vs Azucena 24–22 52.17%
adjentist vs Paul 25–14 64.10%
adjentist vs Lee 20–18 52.63%
adjentist vs Victor 26–11 70.27%
adjentist vs Xiaoyu 18–15 54.55%
adjentist vs Devil Jin 19–12 61.29%
adjentist vs Jack-8 11–19 36.67%
adjentist vs Asuka 17–9 65.38%
adjentist vs Eddy 16–10 61.54%
adjentist vs Fahkumram 16–8 66.67%
adjentist vs Armor King 15–8 65.22%
adjentist vs Lars 10–12 45.45%
adjentist vs Kuma 13–8 61.90%
adjentist vs Feng 7–13 35.00%
adjentist vs Leo 14–6 70.00%
adjentist vs Claudio 7–13 35.00%
adjentist vs Leroy 8–12 40.00%
adjentist vs Raven 10–8 55.56%
adjentist vs Miary Zo 12–6 66.67%
adjentist vs Zafina 7–10 41.18%
adjentist vs Alisa 11–5 68.75%
adjentist vs Shaheen 9–5 64.29%
adjentist vs Panda 4–5 44.44%
adjentist vs Anna 6–3 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.