Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dr.Starr vs King 82–99 45.30%
Dr.Starr vs Kazuya 71–98 42.01%
Dr.Starr vs Jin 68–84 44.74%
Dr.Starr vs Steve 62–62 50.00%
Dr.Starr vs Bryan 42–77 35.29%
Dr.Starr vs Hwoarang 47–63 42.73%
Dr.Starr vs Reina 45–64 41.28%
Dr.Starr vs Law 35–66 34.65%
Dr.Starr vs Eddy 25–61 29.07%
Dr.Starr vs Armor King 40–45 47.06%
Dr.Starr vs Jun 45–39 53.57%
Dr.Starr vs Dragunov 40–43 48.19%
Dr.Starr vs Miary Zo 32–35 47.76%
Dr.Starr vs Asuka 29–35 45.31%
Dr.Starr vs Paul 32–30 51.61%
Dr.Starr vs Yoshimitsu 26–36 41.94%
Dr.Starr vs Azucena 28–34 45.16%
Dr.Starr vs Lee 27–32 45.76%
Dr.Starr vs Heihachi 23–35 39.66%
Dr.Starr vs Lars 19–38 33.33%
Dr.Starr vs Leo 29–27 51.79%
Dr.Starr vs Lidia 22–30 42.31%
Dr.Starr vs Xiaoyu 13–38 25.49%
Dr.Starr vs Victor 18–33 35.29%
Dr.Starr vs Devil Jin 16–31 34.04%
Dr.Starr vs Nina 17–30 36.17%
Dr.Starr vs Leroy 30–17 63.83%
Dr.Starr vs Anna 24–23 51.06%
Dr.Starr vs Lili 14–32 30.43%
Dr.Starr vs Raven 19–27 41.30%
Dr.Starr vs Jack-8 16–28 36.36%
Dr.Starr vs Fahkumram 7–27 20.59%
Dr.Starr vs Clive 13–20 39.39%
Dr.Starr vs Alisa 11–18 37.93%
Dr.Starr vs Feng 8–20 28.57%
Dr.Starr vs Claudio 9–15 37.50%
Dr.Starr vs Shaheen 5–16 23.81%
Dr.Starr vs Zafina 11–8 57.89%
Dr.Starr vs Kuma 1–11 8.33%
Dr.Starr vs Panda 0–5 0.00%

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.