Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LOVERBOY vs Kazuya 75–49 60.48%
LOVERBOY vs Jin 61–49 55.45%
LOVERBOY vs Law 63–24 72.41%
LOVERBOY vs Bryan 45–27 62.50%
LOVERBOY vs Lee 40–30 57.14%
LOVERBOY vs Steve 44–20 68.75%
LOVERBOY vs Eddy 46–17 73.02%
LOVERBOY vs Lili 46–11 80.70%
LOVERBOY vs Lars 33–23 58.93%
LOVERBOY vs Xiaoyu 41–14 74.55%
LOVERBOY vs Dragunov 27–28 49.09%
LOVERBOY vs Reina 33–22 60.00%
LOVERBOY vs Asuka 34–17 66.67%
LOVERBOY vs Hwoarang 29–21 58.00%
LOVERBOY vs Azucena 31–17 64.58%
LOVERBOY vs Paul 28–18 60.87%
LOVERBOY vs Victor 27–19 58.70%
LOVERBOY vs Leo 26–18 59.09%
LOVERBOY vs Heihachi 28–16 63.64%
LOVERBOY vs Fahkumram 26–18 59.09%
LOVERBOY vs King 19–21 47.50%
LOVERBOY vs Nina 25–15 62.50%
LOVERBOY vs Claudio 25–14 64.10%
LOVERBOY vs Lidia 19–19 50.00%
LOVERBOY vs Jun 27–10 72.97%
LOVERBOY vs Devil Jin 24–11 68.57%
LOVERBOY vs Yoshimitsu 22–12 64.71%
LOVERBOY vs Feng 20–11 64.52%
LOVERBOY vs Clive 18–12 60.00%
LOVERBOY vs Raven 22–7 75.86%
LOVERBOY vs Leroy 17–11 60.71%
LOVERBOY vs Jack-8 14–11 56.00%
LOVERBOY vs Zafina 19–4 82.61%
LOVERBOY vs Alisa 19–3 86.36%
LOVERBOY vs Anna 8–10 44.44%
LOVERBOY vs Shaheen 14–2 87.50%
LOVERBOY vs Armor King 8–7 53.33%
LOVERBOY vs Kuma 12–0 100.00%
LOVERBOY vs Panda 8–4 66.67%
LOVERBOY vs Miary Zo 5–5 50.00%

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.