Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MorningLux vs Armor King 30–36 45.45%
MorningLux vs Kazuya 28–7 80.00%
MorningLux vs King 16–18 47.06%
MorningLux vs Law 17–16 51.52%
MorningLux vs Bryan 17–14 54.84%
MorningLux vs Steve 17–13 56.67%
MorningLux vs Hwoarang 17–8 68.00%
MorningLux vs Eddy 13–11 54.17%
MorningLux vs Dragunov 13–10 56.52%
MorningLux vs Azucena 6–13 31.58%
MorningLux vs Yoshimitsu 11–7 61.11%
MorningLux vs Asuka 10–8 55.56%
MorningLux vs Clive 9–9 50.00%
MorningLux vs Victor 9–8 52.94%
MorningLux vs Jack-8 8–7 53.33%
MorningLux vs Heihachi 11–4 73.33%
MorningLux vs Paul 6–8 42.86%
MorningLux vs Jun 8–5 61.54%
MorningLux vs Reina 7–6 53.85%
MorningLux vs Lars 6–6 50.00%
MorningLux vs Xiaoyu 6–5 54.55%
MorningLux vs Raven 6–5 54.55%
MorningLux vs Alisa 9–1 90.00%
MorningLux vs Jin 6–3 66.67%
MorningLux vs Nina 6–3 66.67%
MorningLux vs Devil Jin 3–5 37.50%
MorningLux vs Lili 1–7 12.50%
MorningLux vs Claudio 3–4 42.86%
MorningLux vs Kuma 5–2 71.43%
MorningLux vs Fahkumram 3–4 42.86%
MorningLux vs Leo 5–1 83.33%
MorningLux vs Lee 5–1 83.33%
MorningLux vs Shaheen 3–2 60.00%
MorningLux vs Leroy 4–1 80.00%
MorningLux vs Zafina 2–1 66.67%
MorningLux vs Lidia 1–2 33.33%
MorningLux vs Feng 0–2 0.00%
MorningLux vs Miary Zo 2–0 100.00%
MorningLux vs Anna 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.