Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

UltraZone
skirazar
UltraZone vs Reina 8–11 42.11%
UltraZone vs Eddy 11–8 57.89%
UltraZone vs Jin 7–10 41.18%
UltraZone vs Paul 5–6 45.45%
UltraZone vs Law 4–7 36.36%
UltraZone vs Yoshimitsu 8–3 72.73%
UltraZone vs Devil Jin 7–4 63.64%
UltraZone vs Alisa 6–5 54.55%
UltraZone vs Hwoarang 3–7 30.00%
UltraZone vs Steve 3–7 30.00%
UltraZone vs Nina 4–6 40.00%
UltraZone vs Azucena 7–3 70.00%
UltraZone vs King 3–6 33.33%
UltraZone vs Kazuya 2–6 25.00%
UltraZone vs Jun 4–4 50.00%
UltraZone vs Asuka 2–4 33.33%
UltraZone vs Lee 2–4 33.33%
UltraZone vs Raven 4–2 66.67%
UltraZone vs Dragunov 3–2 60.00%
UltraZone vs Lars 3–2 60.00%
UltraZone vs Xiaoyu 1–3 25.00%
UltraZone vs Victor 0–4 0.00%
UltraZone vs Leo 2–1 66.67%
UltraZone vs Lili 1–1 50.00%
UltraZone vs Shaheen 0–2 0.00%
UltraZone vs Zafina 0–2 0.00%
UltraZone vs Lidia 1–1 50.00%
UltraZone vs Bryan 0–1 0.00%
UltraZone vs Jack-8 0–1 0.00%
UltraZone vs Feng 0–1 0.00%
UltraZone vs Leroy 0–1 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.