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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Fracchia vs Kazuya 114–69 62.30%
Fracchia vs Hwoarang 105–76 58.01%
Fracchia vs Jin 91–61 59.87%
Fracchia vs King 92–44 67.65%
Fracchia vs Law 82–45 64.57%
Fracchia vs Steve 85–38 69.11%
Fracchia vs Bryan 52–49 51.49%
Fracchia vs Dragunov 56–38 59.57%
Fracchia vs Paul 56–37 60.22%
Fracchia vs Yoshimitsu 44–45 49.44%
Fracchia vs Reina 55–32 63.22%
Fracchia vs Lee 40–32 55.56%
Fracchia vs Devil Jin 37–33 52.86%
Fracchia vs Lili 38–26 59.38%
Fracchia vs Heihachi 37–23 61.67%
Fracchia vs Lars 27–32 45.76%
Fracchia vs Jun 35–23 60.34%
Fracchia vs Victor 33–24 57.89%
Fracchia vs Alisa 29–27 51.79%
Fracchia vs Nina 36–18 66.67%
Fracchia vs Asuka 31–21 59.62%
Fracchia vs Eddy 28–21 57.14%
Fracchia vs Jack-8 23–22 51.11%
Fracchia vs Azucena 32–13 71.11%
Fracchia vs Xiaoyu 29–14 67.44%
Fracchia vs Feng 23–14 62.16%
Fracchia vs Leroy 21–14 60.00%
Fracchia vs Kuma 19–14 57.58%
Fracchia vs Raven 15–18 45.45%
Fracchia vs Claudio 11–21 34.38%
Fracchia vs Lidia 17–15 53.12%
Fracchia vs Leo 9–18 33.33%
Fracchia vs Shaheen 14–7 66.67%
Fracchia vs Zafina 11–5 68.75%
Fracchia vs Armor King 11–2 84.62%
Fracchia vs Panda 8–4 66.67%
Fracchia vs Anna 6–5 54.55%
Fracchia vs Clive 3–6 33.33%
Fracchia vs Fahkumram 4–5 44.44%
Fracchia vs Miary Zo 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.