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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FastAsleep vs King 15–18 45.45%
FastAsleep vs Hwoarang 15–14 51.72%
FastAsleep vs Jin 15–14 51.72%
FastAsleep vs Bryan 11–14 44.00%
FastAsleep vs Reina 13–10 56.52%
FastAsleep vs Yoshimitsu 7–14 33.33%
FastAsleep vs Steve 13–7 65.00%
FastAsleep vs Dragunov 8–12 40.00%
FastAsleep vs Kazuya 9–10 47.37%
FastAsleep vs Lars 9–10 47.37%
FastAsleep vs Azucena 11–7 61.11%
FastAsleep vs Eddy 7–11 38.89%
FastAsleep vs Jun 13–3 81.25%
FastAsleep vs Victor 13–3 81.25%
FastAsleep vs Nina 6–8 42.86%
FastAsleep vs Claudio 10–3 76.92%
FastAsleep vs Paul 5–7 41.67%
FastAsleep vs Lili 7–5 58.33%
FastAsleep vs Law 8–3 72.73%
FastAsleep vs Asuka 6–5 54.55%
FastAsleep vs Xiaoyu 7–2 77.78%
FastAsleep vs Leo 7–2 77.78%
FastAsleep vs Leroy 7–1 87.50%
FastAsleep vs Raven 8–0 100.00%
FastAsleep vs Armor King 4–4 50.00%
FastAsleep vs Miary Zo 4–4 50.00%
FastAsleep vs Jack-8 4–3 57.14%
FastAsleep vs Devil Jin 4–3 57.14%
FastAsleep vs Lee 4–3 57.14%
FastAsleep vs Heihachi 2–5 28.57%
FastAsleep vs Kuma 2–4 33.33%
FastAsleep vs Lidia 3–3 50.00%
FastAsleep vs Feng 3–2 60.00%
FastAsleep vs Alisa 2–3 40.00%
FastAsleep vs Shaheen 2–2 50.00%
FastAsleep vs Fahkumram 2–2 50.00%
FastAsleep vs Panda 2–1 66.67%
FastAsleep vs Zafina 0–2 0.00%
FastAsleep vs Clive 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.