Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

big-worm-god vs Kazuya 16–22 42.11%
big-worm-god vs King 19–8 70.37%
big-worm-god vs Steve 11–13 45.83%
big-worm-god vs Reina 12–11 52.17%
big-worm-god vs Jin 10–11 47.62%
big-worm-god vs Heihachi 6–14 30.00%
big-worm-god vs Hwoarang 10–7 58.82%
big-worm-god vs Lili 8–9 47.06%
big-worm-god vs Yoshimitsu 4–9 30.77%
big-worm-god vs Alisa 1–11 8.33%
big-worm-god vs Armor King 6–6 50.00%
big-worm-god vs Feng 5–6 45.45%
big-worm-god vs Lars 8–3 72.73%
big-worm-god vs Claudio 4–7 36.36%
big-worm-god vs Nina 4–5 44.44%
big-worm-god vs Azucena 5–4 55.56%
big-worm-god vs Bryan 4–4 50.00%
big-worm-god vs Devil Jin 7–1 87.50%
big-worm-god vs Shaheen 3–4 42.86%
big-worm-god vs Leroy 5–2 71.43%
big-worm-god vs Clive 4–3 57.14%
big-worm-god vs Fahkumram 3–4 42.86%
big-worm-god vs Paul 4–2 66.67%
big-worm-god vs Xiaoyu 4–2 66.67%
big-worm-god vs Dragunov 2–4 33.33%
big-worm-god vs Leo 0–6 0.00%
big-worm-god vs Lee 2–4 33.33%
big-worm-god vs Eddy 2–3 40.00%
big-worm-god vs Anna 1–4 20.00%
big-worm-god vs Law 2–2 50.00%
big-worm-god vs Asuka 2–2 50.00%
big-worm-god vs Kuma 2–2 50.00%
big-worm-god vs Jun 3–0 100.00%
big-worm-god vs Victor 2–1 66.67%
big-worm-god vs Jack-8 2–0 100.00%
big-worm-god vs Zafina 0–2 0.00%
big-worm-god vs Raven 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.