Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
NearUNB

Ratings

NearUNB vs Jin 36–18 66.67%
NearUNB vs Kazuya 31–23 57.41%
NearUNB vs King 29–23 55.77%
NearUNB vs Reina 31–16 65.96%
NearUNB vs Paul 9–32 21.95%
NearUNB vs Hwoarang 18–23 43.90%
NearUNB vs Bryan 15–22 40.54%
NearUNB vs Asuka 18–16 52.94%
NearUNB vs Lili 20–11 64.52%
NearUNB vs Steve 18–8 69.23%
NearUNB vs Lidia 14–12 53.85%
NearUNB vs Law 10–15 40.00%
NearUNB vs Clive 9–16 36.00%
NearUNB vs Victor 10–14 41.67%
NearUNB vs Dragunov 11–11 50.00%
NearUNB vs Jun 11–9 55.00%
NearUNB vs Lee 11–8 57.89%
NearUNB vs Eddy 10–9 52.63%
NearUNB vs Azucena 6–10 37.50%
NearUNB vs Yoshimitsu 5–10 33.33%
NearUNB vs Nina 9–6 60.00%
NearUNB vs Alisa 5–9 35.71%
NearUNB vs Devil Jin 7–4 63.64%
NearUNB vs Kuma 1–10 9.09%
NearUNB vs Heihachi 6–5 54.55%
NearUNB vs Claudio 3–7 30.00%
NearUNB vs Lars 6–3 66.67%
NearUNB vs Shaheen 4–5 44.44%
NearUNB vs Xiaoyu 5–2 71.43%
NearUNB vs Feng 1–6 14.29%
NearUNB vs Jack-8 3–3 50.00%
NearUNB vs Zafina 2–4 33.33%
NearUNB vs Leroy 5–1 83.33%
NearUNB vs Leo 3–2 60.00%
NearUNB vs Raven 1–2 33.33%
NearUNB vs Anna 2–1 66.67%
NearUNB vs Fahkumram 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.