Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Defotune vs Kazuya 94–71 56.97%
Defotune vs Jin 69–67 50.74%
Defotune vs Reina 72–45 61.54%
Defotune vs Bryan 63–51 55.26%
Defotune vs King 56–54 50.91%
Defotune vs Heihachi 60–50 54.55%
Defotune vs Steve 56–36 60.87%
Defotune vs Hwoarang 36–51 41.38%
Defotune vs Dragunov 35–37 48.61%
Defotune vs Lee 34–35 49.28%
Defotune vs Law 31–36 46.27%
Defotune vs Lars 32–34 48.48%
Defotune vs Azucena 28–38 42.42%
Defotune vs Paul 31–34 47.69%
Defotune vs Lili 36–28 56.25%
Defotune vs Clive 28–22 56.00%
Defotune vs Asuka 25–24 51.02%
Defotune vs Devil Jin 20–24 45.45%
Defotune vs Xiaoyu 19–24 44.19%
Defotune vs Feng 23–20 53.49%
Defotune vs Jun 19–22 46.34%
Defotune vs Victor 18–22 45.00%
Defotune vs Nina 22–15 59.46%
Defotune vs Yoshimitsu 16–20 44.44%
Defotune vs Claudio 16–20 44.44%
Defotune vs Kuma 22–13 62.86%
Defotune vs Eddy 17–17 50.00%
Defotune vs Zafina 20–12 62.50%
Defotune vs Jack-8 16–15 51.61%
Defotune vs Leo 14–14 50.00%
Defotune vs Armor King 17–11 60.71%
Defotune vs Miary Zo 15–12 55.56%
Defotune vs Leroy 13–12 52.00%
Defotune vs Raven 13–9 59.09%
Defotune vs Lidia 12–10 54.55%
Defotune vs Alisa 12–9 57.14%
Defotune vs Shaheen 9–12 42.86%
Defotune vs Fahkumram 5–4 55.56%
Defotune vs Panda 2–5 28.57%
Defotune vs Anna 3–4 42.86%

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.