Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TommyPickles vs Reina 27–21 56.25%
TommyPickles vs King 24–14 63.16%
TommyPickles vs Kazuya 17–18 48.57%
TommyPickles vs Heihachi 13–13 50.00%
TommyPickles vs Steve 13–12 52.00%
TommyPickles vs Bryan 10–14 41.67%
TommyPickles vs Hwoarang 12–11 52.17%
TommyPickles vs Jin 10–13 43.48%
TommyPickles vs Lili 13–7 65.00%
TommyPickles vs Dragunov 9–11 45.00%
TommyPickles vs Lidia 7–11 38.89%
TommyPickles vs Lee 9–8 52.94%
TommyPickles vs Victor 9–7 56.25%
TommyPickles vs Jun 6–9 40.00%
TommyPickles vs Shaheen 7–6 53.85%
TommyPickles vs Paul 9–3 75.00%
TommyPickles vs Eddy 4–6 40.00%
TommyPickles vs Law 2–7 22.22%
TommyPickles vs Jack-8 4–4 50.00%
TommyPickles vs Asuka 5–3 62.50%
TommyPickles vs Devil Jin 3–4 42.86%
TommyPickles vs Anna 3–3 50.00%
TommyPickles vs Yoshimitsu 3–2 60.00%
TommyPickles vs Feng 4–1 80.00%
TommyPickles vs Azucena 3–2 60.00%
TommyPickles vs Xiaoyu 3–1 75.00%
TommyPickles vs Lars 2–2 50.00%
TommyPickles vs Claudio 1–3 25.00%
TommyPickles vs Nina 2–2 50.00%
TommyPickles vs Panda 3–1 75.00%
TommyPickles vs Kuma 1–2 33.33%
TommyPickles vs Leroy 3–0 100.00%
TommyPickles vs Armor King 1–2 33.33%
TommyPickles vs Miary Zo 2–1 66.67%
TommyPickles vs Leo 2–0 100.00%
TommyPickles vs Alisa 0–2 0.00%
TommyPickles vs Raven 2–0 100.00%

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.