Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LegendaryNoob vs Kazuya 34–22 60.71%
LegendaryNoob vs Jin 26–26 50.00%
LegendaryNoob vs King 15–32 31.91%
LegendaryNoob vs Steve 27–18 60.00%
LegendaryNoob vs Hwoarang 17–15 53.12%
LegendaryNoob vs Clive 19–13 59.38%
LegendaryNoob vs Bryan 16–14 53.33%
LegendaryNoob vs Yoshimitsu 12–11 52.17%
LegendaryNoob vs Heihachi 9–11 45.00%
LegendaryNoob vs Lars 6–13 31.58%
LegendaryNoob vs Devil Jin 10–8 55.56%
LegendaryNoob vs Lili 7–11 38.89%
LegendaryNoob vs Azucena 12–5 70.59%
LegendaryNoob vs Paul 8–8 50.00%
LegendaryNoob vs Feng 4–12 25.00%
LegendaryNoob vs Jun 7–9 43.75%
LegendaryNoob vs Reina 11–5 68.75%
LegendaryNoob vs Law 5–9 35.71%
LegendaryNoob vs Dragunov 8–4 66.67%
LegendaryNoob vs Asuka 8–3 72.73%
LegendaryNoob vs Kuma 1–10 9.09%
LegendaryNoob vs Xiaoyu 1–9 10.00%
LegendaryNoob vs Leo 6–2 75.00%
LegendaryNoob vs Victor 2–6 25.00%
LegendaryNoob vs Raven 4–4 50.00%
LegendaryNoob vs Zafina 6–1 85.71%
LegendaryNoob vs Lee 4–2 66.67%
LegendaryNoob vs Jack-8 5–0 100.00%
LegendaryNoob vs Alisa 1–4 20.00%
LegendaryNoob vs Claudio 3–1 75.00%
LegendaryNoob vs Panda 2–2 50.00%
LegendaryNoob vs Shaheen 1–2 33.33%
LegendaryNoob vs Nina 0–3 0.00%
LegendaryNoob vs Leroy 1–2 33.33%
LegendaryNoob vs Eddy 1–2 33.33%
LegendaryNoob vs Lidia 3–0 100.00%

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.