Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Drag Unov vs Armor King 47–36 56.63%
Drag Unov vs Kazuya 20–24 45.45%
Drag Unov vs Bryan 17–25 40.48%
Drag Unov vs Jin 25–15 62.50%
Drag Unov vs King 20–15 57.14%
Drag Unov vs Law 19–12 61.29%
Drag Unov vs Hwoarang 18–12 60.00%
Drag Unov vs Reina 15–12 55.56%
Drag Unov vs Lee 14–12 53.85%
Drag Unov vs Heihachi 10–15 40.00%
Drag Unov vs Alisa 12–12 50.00%
Drag Unov vs Devil Jin 13–9 59.09%
Drag Unov vs Paul 10–11 47.62%
Drag Unov vs Dragunov 13–8 61.90%
Drag Unov vs Yoshimitsu 11–9 55.00%
Drag Unov vs Lidia 11–9 55.00%
Drag Unov vs Xiaoyu 11–6 64.71%
Drag Unov vs Steve 9–6 60.00%
Drag Unov vs Asuka 5–8 38.46%
Drag Unov vs Lili 10–3 76.92%
Drag Unov vs Anna 9–4 69.23%
Drag Unov vs Fahkumram 8–3 72.73%
Drag Unov vs Jun 7–3 70.00%
Drag Unov vs Azucena 4–6 40.00%
Drag Unov vs Eddy 4–6 40.00%
Drag Unov vs Leroy 5–4 55.56%
Drag Unov vs Nina 4–4 50.00%
Drag Unov vs Miary Zo 1–7 12.50%
Drag Unov vs Jack-8 6–1 85.71%
Drag Unov vs Lars 5–2 71.43%
Drag Unov vs Leo 2–4 33.33%
Drag Unov vs Kuma 2–4 33.33%
Drag Unov vs Feng 3–2 60.00%
Drag Unov vs Victor 5–0 100.00%
Drag Unov vs Zafina 2–2 50.00%
Drag Unov vs Raven 3–1 75.00%
Drag Unov vs Clive 2–2 50.00%
Drag Unov vs Claudio 1–2 33.33%
Drag Unov vs Panda 2–1 66.67%

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.