Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

neverlate
FaRa
neverlate vs Reina 23–23 50.00%
neverlate vs King 26–16 61.90%
neverlate vs Jin 24–14 63.16%
neverlate vs Bryan 17–19 47.22%
neverlate vs Kazuya 16–19 45.71%
neverlate vs Azucena 21–12 63.64%
neverlate vs Hwoarang 18–14 56.25%
neverlate vs Lars 17–8 68.00%
neverlate vs Paul 15–9 62.50%
neverlate vs Devil Jin 16–5 76.19%
neverlate vs Dragunov 8–13 38.10%
neverlate vs Steve 7–11 38.89%
neverlate vs Lili 6–11 35.29%
neverlate vs Eddy 7–9 43.75%
neverlate vs Alisa 4–10 28.57%
neverlate vs Claudio 11–3 78.57%
neverlate vs Lee 5–9 35.71%
neverlate vs Zafina 4–10 28.57%
neverlate vs Xiaoyu 7–6 53.85%
neverlate vs Nina 7–6 53.85%
neverlate vs Law 8–4 66.67%
neverlate vs Yoshimitsu 5–7 41.67%
neverlate vs Jack-8 5–7 41.67%
neverlate vs Jun 5–7 41.67%
neverlate vs Victor 5–7 41.67%
neverlate vs Asuka 6–4 60.00%
neverlate vs Feng 2–7 22.22%
neverlate vs Leo 5–4 55.56%
neverlate vs Shaheen 2–4 33.33%
neverlate vs Kuma 2–3 40.00%
neverlate vs Heihachi 0–4 0.00%
neverlate vs Leroy 0–2 0.00%
neverlate vs Lidia 2–0 100.00%
neverlate vs Clive 2–0 100.00%

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.