Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Schmelly Meat
4LYg-mTD5-ntaG xbox ShowierTitan192 America

Ratings

Schmelly Meat vs Kazuya 22–18 55.00%
Schmelly Meat vs Hwoarang 23–9 71.88%
Schmelly Meat vs Eddy 21–10 67.74%
Schmelly Meat vs King 14–15 48.28%
Schmelly Meat vs Dragunov 15–12 55.56%
Schmelly Meat vs Bryan 13–12 52.00%
Schmelly Meat vs Reina 13–12 52.00%
Schmelly Meat vs Lili 16–7 69.57%
Schmelly Meat vs Asuka 12–10 54.55%
Schmelly Meat vs Heihachi 11–11 50.00%
Schmelly Meat vs Paul 12–8 60.00%
Schmelly Meat vs Steve 13–7 65.00%
Schmelly Meat vs Law 13–4 76.47%
Schmelly Meat vs Lars 11–5 68.75%
Schmelly Meat vs Alisa 10–6 62.50%
Schmelly Meat vs Lee 8–8 50.00%
Schmelly Meat vs Victor 9–7 56.25%
Schmelly Meat vs Jin 9–6 60.00%
Schmelly Meat vs Yoshimitsu 6–8 42.86%
Schmelly Meat vs Jun 9–4 69.23%
Schmelly Meat vs Feng 9–3 75.00%
Schmelly Meat vs Zafina 6–6 50.00%
Schmelly Meat vs Azucena 9–3 75.00%
Schmelly Meat vs Xiaoyu 6–3 66.67%
Schmelly Meat vs Leo 9–0 100.00%
Schmelly Meat vs Raven 5–4 55.56%
Schmelly Meat vs Devil Jin 5–3 62.50%
Schmelly Meat vs Jack-8 6–1 85.71%
Schmelly Meat vs Nina 3–4 42.86%
Schmelly Meat vs Shaheen 4–2 66.67%
Schmelly Meat vs Kuma 4–2 66.67%
Schmelly Meat vs Claudio 2–3 40.00%
Schmelly Meat vs Leroy 4–0 100.00%
Schmelly Meat vs Lidia 2–1 66.67%

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.