Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ilovedrugs vs Kazuya 55–48 53.40%
ilovedrugs vs Bryan 42–60 41.18%
ilovedrugs vs Heihachi 59–43 57.84%
ilovedrugs vs King 62–38 62.00%
ilovedrugs vs Reina 61–37 62.24%
ilovedrugs vs Jin 46–41 52.87%
ilovedrugs vs Steve 38–42 47.50%
ilovedrugs vs Devil Jin 25–43 36.76%
ilovedrugs vs Lili 34–28 54.84%
ilovedrugs vs Paul 36–19 65.45%
ilovedrugs vs Dragunov 25–27 48.08%
ilovedrugs vs Jun 30–21 58.82%
ilovedrugs vs Hwoarang 26–22 54.17%
ilovedrugs vs Clive 25–22 53.19%
ilovedrugs vs Law 21–24 46.67%
ilovedrugs vs Azucena 24–17 58.54%
ilovedrugs vs Lee 15–24 38.46%
ilovedrugs vs Lars 19–19 50.00%
ilovedrugs vs Yoshimitsu 15–21 41.67%
ilovedrugs vs Fahkumram 13–22 37.14%
ilovedrugs vs Asuka 15–18 45.45%
ilovedrugs vs Feng 13–20 39.39%
ilovedrugs vs Lidia 13–17 43.33%
ilovedrugs vs Alisa 16–13 55.17%
ilovedrugs vs Shaheen 19–7 73.08%
ilovedrugs vs Xiaoyu 12–11 52.17%
ilovedrugs vs Victor 13–9 59.09%
ilovedrugs vs Leo 11–10 52.38%
ilovedrugs vs Nina 11–10 52.38%
ilovedrugs vs Eddy 13–8 61.90%
ilovedrugs vs Jack-8 8–10 44.44%
ilovedrugs vs Claudio 11–7 61.11%
ilovedrugs vs Leroy 14–4 77.78%
ilovedrugs vs Raven 11–7 61.11%
ilovedrugs vs Anna 2–14 12.50%
ilovedrugs vs Kuma 7–4 63.64%
ilovedrugs vs Zafina 4–4 50.00%
ilovedrugs vs Panda 0–3 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.