Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sweeet vs Bryan 12–17 41.38%
sweeet vs Jin 13–14 48.15%
sweeet vs Lili 17–8 68.00%
sweeet vs Kazuya 12–12 50.00%
sweeet vs Paul 13–9 59.09%
sweeet vs Reina 7–14 33.33%
sweeet vs Lars 7–12 36.84%
sweeet vs King 7–9 43.75%
sweeet vs Hwoarang 10–6 62.50%
sweeet vs Miary Zo 8–8 50.00%
sweeet vs Dragunov 10–4 71.43%
sweeet vs Armor King 8–6 57.14%
sweeet vs Fahkumram 7–6 53.85%
sweeet vs Jack-8 4–8 33.33%
sweeet vs Devil Jin 6–5 54.55%
sweeet vs Victor 6–5 54.55%
sweeet vs Heihachi 6–5 54.55%
sweeet vs Asuka 5–3 62.50%
sweeet vs Jun 6–1–1 85.71%
sweeet vs Steve 3–4 42.86%
sweeet vs Nina 5–2 71.43%
sweeet vs Azucena 4–2 66.67%
sweeet vs Claudio 2–3 40.00%
sweeet vs Law 4–0 100.00%
sweeet vs Lee 2–2 50.00%
sweeet vs Kuma 1–3 25.00%
sweeet vs Lidia 0–4 0.00%
sweeet vs Clive 4–0 100.00%
sweeet vs Zafina 1–1 50.00%
sweeet vs Yoshimitsu 0–1 0.00%
sweeet vs Xiaoyu 1–0 100.00%
sweeet vs Feng 1–0 100.00%
sweeet vs Leo 0–1 0.00%
sweeet vs Eddy 1–0 100.00%
sweeet 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.