Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

unfortunate
nina gang
unfortunate vs Reina 30–11 73.17%
unfortunate vs Hwoarang 25–9 73.53%
unfortunate vs Jin 13–15 46.43%
unfortunate vs Paul 15–12 55.56%
unfortunate vs Lars 17–9 65.38%
unfortunate vs King 16–9 64.00%
unfortunate vs Asuka 14–10 58.33%
unfortunate vs Dragunov 19–4 82.61%
unfortunate vs Victor 19–4 82.61%
unfortunate vs Bryan 13–9 59.09%
unfortunate vs Nina 17–5 77.27%
unfortunate vs Law 14–7 66.67%
unfortunate vs Yoshimitsu 11–10 52.38%
unfortunate vs Lili 14–7 66.67%
unfortunate vs Kazuya 14–6 70.00%
unfortunate vs Lee 13–4 76.47%
unfortunate vs Jun 10–7 58.82%
unfortunate vs Steve 7–6 53.85%
unfortunate vs Raven 7–6 53.85%
unfortunate vs Eddy 8–5 61.54%
unfortunate vs Xiaoyu 5–5 50.00%
unfortunate vs Devil Jin 5–5 50.00%
unfortunate vs Alisa 9–1 90.00%
unfortunate vs Kuma 7–3 70.00%
unfortunate vs Heihachi 7–1 87.50%
unfortunate vs Feng 3–4 42.86%
unfortunate vs Azucena 3–4 42.86%
unfortunate vs Jack-8 4–2 66.67%
unfortunate vs Claudio 4–2 66.67%
unfortunate vs Leo 3–1 75.00%
unfortunate vs Shaheen 2–2 50.00%
unfortunate vs Leroy 3–0 100.00%
unfortunate vs Zafina 2–0 100.00%
unfortunate vs Lidia 0–2 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.