Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

RetroLoot vs Reina 36–21 63.16%
RetroLoot vs Steve 27–26 50.94%
RetroLoot vs Lili 21–25 45.65%
RetroLoot vs King 18–27 40.00%
RetroLoot vs Yoshimitsu 20–25 44.44%
RetroLoot vs Bryan 22–18 55.00%
RetroLoot vs Kazuya 23–17 57.50%
RetroLoot vs Lidia 8–29 21.62%
RetroLoot vs Jin 18–13 58.06%
RetroLoot vs Jun 12–18 40.00%
RetroLoot vs Azucena 8–19 29.63%
RetroLoot vs Law 12–12 50.00%
RetroLoot vs Dragunov 6–17 26.09%
RetroLoot vs Lars 10–13 43.48%
RetroLoot vs Eddy 9–14 39.13%
RetroLoot vs Xiaoyu 9–11 45.00%
RetroLoot vs Lee 6–12 33.33%
RetroLoot vs Alisa 7–9 43.75%
RetroLoot vs Hwoarang 11–4 73.33%
RetroLoot vs Nina 6–9 40.00%
RetroLoot vs Claudio 7–6 53.85%
RetroLoot vs Victor 10–3 76.92%
RetroLoot vs Paul 5–7 41.67%
RetroLoot vs Jack-8 6–6 50.00%
RetroLoot vs Asuka 5–7 41.67%
RetroLoot vs Feng 3–7 30.00%
RetroLoot vs Leo 5–5 50.00%
RetroLoot vs Raven 3–7 30.00%
RetroLoot vs Shaheen 1–8 11.11%
RetroLoot vs Devil Jin 1–7 12.50%
RetroLoot vs Kuma 3–5 37.50%
RetroLoot vs Leroy 7–1 87.50%
RetroLoot vs Heihachi 3–5 37.50%
RetroLoot vs Clive 1–4 20.00%
RetroLoot vs Zafina 2–2 50.00%
RetroLoot vs Anna 2–1 66.67%
RetroLoot vs Armor King 1–2 33.33%
RetroLoot vs Miary Zo 3–0 100.00%
RetroLoot vs Panda 0–2 0.00%
RetroLoot vs Fahkumram 0–2 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.