Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

n015es
n015esTTV
GrabMeINeedPrac
n015es vs Jin 44–42 51.16%
n015es vs Kazuya 45–29 60.81%
n015es vs King 35–30 53.85%
n015es vs Steve 33–31 51.56%
n015es vs Reina 39–20 66.10%
n015es vs Eddy 20–36 35.71%
n015es vs Yoshimitsu 27–22 55.10%
n015es vs Bryan 25–24 51.02%
n015es vs Law 20–28 41.67%
n015es vs Lili 25–23 52.08%
n015es vs Azucena 20–28 41.67%
n015es vs Hwoarang 25–19 56.82%
n015es vs Dragunov 18–25 41.86%
n015es vs Clive 22–21 51.16%
n015es vs Asuka 19–17 52.78%
n015es vs Lars 21–14 60.00%
n015es vs Jun 17–17 50.00%
n015es vs Victor 18–16 52.94%
n015es vs Xiaoyu 20–11 64.52%
n015es vs Nina 15–15 50.00%
n015es vs Lee 10–16 38.46%
n015es vs Paul 7–14 33.33%
n015es vs Devil Jin 13–8 61.90%
n015es vs Alisa 9–11 45.00%
n015es vs Leroy 14–6 70.00%
n015es vs Leo 14–3 82.35%
n015es vs Jack-8 4–10 28.57%
n015es vs Shaheen 5–9 35.71%
n015es vs Feng 6–7 46.15%
n015es vs Kuma 3–10 23.08%
n015es vs Claudio 5–7 41.67%
n015es vs Lidia 7–4 63.64%
n015es vs Raven 4–3 57.14%
n015es vs Zafina 1–3 25.00%
n015es vs Heihachi 2–1 66.67%
n015es vs Panda 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.