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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

treesh vs King 39–11 78.00%
treesh vs Kazuya 28–18 60.87%
treesh vs Hwoarang 35–8 81.40%
treesh vs Jin 34–9 79.07%
treesh vs Paul 24–18 57.14%
treesh vs Bryan 27–13 67.50%
treesh vs Dragunov 16–22 42.11%
treesh vs Steve 21–12 63.64%
treesh vs Devil Jin 29–4 87.88%
treesh vs Reina 26–7 78.79%
treesh vs Heihachi 18–11 62.07%
treesh vs Law 18–7 72.00%
treesh vs Yoshimitsu 20–4 83.33%
treesh vs Alisa 13–6 68.42%
treesh vs Lili 8–9 47.06%
treesh vs Eddy 6–11 35.29%
treesh vs Jun 13–3 81.25%
treesh vs Kuma 8–7 53.33%
treesh vs Fahkumram 5–10 33.33%
treesh vs Nina 13–0 100.00%
treesh vs Asuka 9–3 75.00%
treesh vs Lars 4–8 33.33%
treesh vs Lee 9–2 81.82%
treesh vs Anna 9–2 81.82%
treesh vs Xiaoyu 5–4 55.56%
treesh vs Feng 8–1 88.89%
treesh vs Zafina 4–5 44.44%
treesh vs Victor 6–3 66.67%
treesh vs Raven 7–2 77.78%
treesh vs Clive 7–2 77.78%
treesh vs Leroy 6–2 75.00%
treesh vs Leo 5–1 83.33%
treesh vs Claudio 2–2 50.00%
treesh vs Panda 3–1 75.00%
treesh vs Armor King 4–0 100.00%
treesh vs Jack-8 2–1 66.67%
treesh vs Azucena 1–1 50.00%
treesh vs Lidia 1–1 50.00%

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.