Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

haleyhun vs Bryan 72–72 50.00%
haleyhun vs Hwoarang 55–72 43.31%
haleyhun vs Kazuya 72–51 58.54%
haleyhun vs Dragunov 65–58 52.85%
haleyhun vs Reina 65–43 60.19%
haleyhun vs Jin 52–50 50.98%
haleyhun vs King 47–52 47.47%
haleyhun vs Victor 48–51 48.48%
haleyhun vs Paul 41–53 43.62%
haleyhun vs Devil Jin 47–38 55.29%
haleyhun vs Lili 44–38 53.66%
haleyhun vs Feng 39–42 48.15%
haleyhun vs Jun 29–44 39.73%
haleyhun vs Eddy 41–32 56.16%
haleyhun vs Alisa 28–44 38.89%
haleyhun vs Azucena 50–21 70.42%
haleyhun vs Law 33–34 49.25%
haleyhun vs Asuka 33–31 51.56%
haleyhun vs Lidia 35–29 54.69%
haleyhun vs Yoshimitsu 24–36 40.00%
haleyhun vs Leroy 34–24 58.62%
haleyhun vs Steve 31–22 58.49%
haleyhun vs Lee 28–24 53.85%
haleyhun vs Lars 23–27 46.00%
haleyhun vs Nina 23–22 51.11%
haleyhun vs Shaheen 22–20 52.38%
haleyhun vs Raven 20–20 50.00%
haleyhun vs Xiaoyu 19–18 51.35%
haleyhun vs Claudio 14–23 37.84%
haleyhun vs Jack-8 13–21 38.24%
haleyhun vs Leo 12–21 36.36%
haleyhun vs Clive 16–16 50.00%
haleyhun vs Zafina 12–16 42.86%
haleyhun vs Heihachi 10–12 45.45%
haleyhun vs Kuma 8–9 47.06%
haleyhun vs Miary Zo 8–9 47.06%
haleyhun vs Armor King 8–7 53.33%
haleyhun vs Panda 4–7 36.36%
haleyhun vs Fahkumram 1–2 33.33%
haleyhun vs Anna 2–0 100.00%

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.