Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wildfire vs King 91–108 45.73%
Wildfire vs Jin 95–77 55.23%
Wildfire vs Bryan 76–71 51.70%
Wildfire vs Steve 86–57 60.14%
Wildfire vs Kazuya 67–71 48.55%
Wildfire vs Law 62–72 46.27%
Wildfire vs Hwoarang 64–57 52.89%
Wildfire vs Reina 52–55 48.60%
Wildfire vs Paul 50–47 51.55%
Wildfire vs Eddy 47–46 50.54%
Wildfire vs Yoshimitsu 42–48 46.67%
Wildfire vs Lili 48–42 53.33%
Wildfire vs Azucena 42–47 47.19%
Wildfire vs Lars 39–44 46.99%
Wildfire vs Heihachi 38–43 46.91%
Wildfire vs Dragunov 40–39 50.63%
Wildfire vs Xiaoyu 41–37 52.56%
Wildfire vs Devil Jin 34–35 49.28%
Wildfire vs Asuka 35–33 51.47%
Wildfire vs Jun 21–40 34.43%
Wildfire vs Leo 28–32 46.67%
Wildfire vs Lee 25–29 46.30%
Wildfire vs Lidia 29–22 56.86%
Wildfire vs Feng 18–30 37.50%
Wildfire vs Victor 26–21 55.32%
Wildfire vs Clive 18–27 40.00%
Wildfire vs Jack-8 15–28 34.88%
Wildfire vs Nina 19–17 52.78%
Wildfire vs Raven 17–17 50.00%
Wildfire vs Fahkumram 18–16 52.94%
Wildfire vs Alisa 17–15 53.12%
Wildfire vs Anna 12–20 37.50%
Wildfire vs Leroy 12–17 41.38%
Wildfire vs Zafina 7–14 33.33%
Wildfire vs Armor King 10–11 47.62%
Wildfire vs Miary Zo 10–9 52.63%
Wildfire vs Claudio 3–13 18.75%
Wildfire vs Shaheen 8–8 50.00%
Wildfire vs Kuma 6–9 40.00%
Wildfire vs Panda 0–1 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.