Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

100KMiles vs King 85–67 55.92%
100KMiles vs Jin 87–58 60.00%
100KMiles vs Kazuya 64–74 46.38%
100KMiles vs Hwoarang 69–68 50.36%
100KMiles vs Law 66–66 50.00%
100KMiles vs Reina 71–55 56.35%
100KMiles vs Bryan 52–51 50.49%
100KMiles vs Eddy 56–43 56.57%
100KMiles vs Steve 48–43 52.75%
100KMiles vs Yoshimitsu 46–38 54.76%
100KMiles vs Lili 40–40 50.00%
100KMiles vs Lee 47–31 60.26%
100KMiles vs Azucena 45–33 57.69%
100KMiles vs Jun 41–30 57.75%
100KMiles vs Victor 36–34 51.43%
100KMiles vs Leroy 33–35 48.53%
100KMiles vs Dragunov 31–34 47.69%
100KMiles vs Paul 26–32 44.83%
100KMiles vs Xiaoyu 31–27 53.45%
100KMiles vs Nina 25–33 43.10%
100KMiles vs Feng 21–28 42.86%
100KMiles vs Lars 23–26 46.94%
100KMiles vs Asuka 28–18 60.87%
100KMiles vs Lidia 23–19 54.76%
100KMiles vs Leo 22–19 53.66%
100KMiles vs Raven 17–18 48.57%
100KMiles vs Jack-8 16–15 51.61%
100KMiles vs Heihachi 17–13 56.67%
100KMiles vs Devil Jin 11–18 37.93%
100KMiles vs Zafina 15–13 53.57%
100KMiles vs Alisa 10–17 37.04%
100KMiles vs Anna 8–16 33.33%
100KMiles vs Clive 10–11 47.62%
100KMiles vs Armor King 11–10 52.38%
100KMiles vs Shaheen 10–6 62.50%
100KMiles vs Claudio 10–5 66.67%
100KMiles vs Fahkumram 5–5 50.00%
100KMiles vs Kuma 2–4 33.33%
100KMiles vs Panda 1–0 100.00%

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.