Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BobTheMonkey vs Bryan 25–16 60.98%
BobTheMonkey vs Kazuya 16–13 55.17%
BobTheMonkey vs Reina 20–9 68.97%
BobTheMonkey vs Law 24–4 85.71%
BobTheMonkey vs King 22–3 88.00%
BobTheMonkey vs Steve 10–14 41.67%
BobTheMonkey vs Dragunov 19–5 79.17%
BobTheMonkey vs Paul 14–8 63.64%
BobTheMonkey vs Fahkumram 9–13 40.91%
BobTheMonkey vs Jin 11–10 52.38%
BobTheMonkey vs Lili 16–4 80.00%
BobTheMonkey vs Yoshimitsu 13–5 72.22%
BobTheMonkey vs Hwoarang 13–5 72.22%
BobTheMonkey vs Devil Jin 9–7 56.25%
BobTheMonkey vs Heihachi 9–6 60.00%
BobTheMonkey vs Jack-8 8–6 57.14%
BobTheMonkey vs Asuka 9–5 64.29%
BobTheMonkey vs Anna 8–6 57.14%
BobTheMonkey vs Claudio 8–5 61.54%
BobTheMonkey vs Clive 7–6 53.85%
BobTheMonkey vs Azucena 9–2 81.82%
BobTheMonkey vs Eddy 5–5 50.00%
BobTheMonkey vs Xiaoyu 6–3 66.67%
BobTheMonkey vs Shaheen 7–2 77.78%
BobTheMonkey vs Lee 5–4 55.56%
BobTheMonkey vs Leroy 6–2 75.00%
BobTheMonkey vs Leo 5–2 71.43%
BobTheMonkey vs Alisa 6–1 85.71%
BobTheMonkey vs Jun 2–5 28.57%
BobTheMonkey vs Lars 2–3 40.00%
BobTheMonkey vs Zafina 4–1 80.00%
BobTheMonkey vs Raven 4–1 80.00%
BobTheMonkey vs Feng 3–0 100.00%
BobTheMonkey vs Kuma 0–3 0.00%
BobTheMonkey vs Nina 0–2 0.00%
BobTheMonkey vs Victor 2–0 100.00%
BobTheMonkey vs Panda 1–0 100.00%

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.