Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Ur Divisor

Ratings

Ur Divisor vs Hwoarang 52–42 55.32%
Ur Divisor vs Jin 47–40 54.02%
Ur Divisor vs King 42–32 56.76%
Ur Divisor vs Law 29–37 43.94%
Ur Divisor vs Kazuya 27–33 45.00%
Ur Divisor vs Steve 33–22 60.00%
Ur Divisor vs Yoshimitsu 23–28 45.10%
Ur Divisor vs Dragunov 27–23 54.00%
Ur Divisor vs Bryan 25–21 54.35%
Ur Divisor vs Paul 27–15 64.29%
Ur Divisor vs Reina 20–20 50.00%
Ur Divisor vs Azucena 19–18 51.35%
Ur Divisor vs Devil Jin 15–21 41.67%
Ur Divisor vs Jun 26–9 74.29%
Ur Divisor vs Lili 19–15 55.88%
Ur Divisor vs Victor 22–11 66.67%
Ur Divisor vs Eddy 18–13 58.06%
Ur Divisor vs Alisa 11–19 36.67%
Ur Divisor vs Lee 17–12 58.62%
Ur Divisor vs Xiaoyu 18–8 69.23%
Ur Divisor vs Lidia 16–10 61.54%
Ur Divisor vs Asuka 17–8 68.00%
Ur Divisor vs Jack-8 10–11 47.62%
Ur Divisor vs Lars 13–8 61.90%
Ur Divisor vs Feng 9–9 50.00%
Ur Divisor vs Nina 5–12–1 29.41%
Ur Divisor vs Heihachi 8–8 50.00%
Ur Divisor vs Raven 6–7 46.15%
Ur Divisor vs Leroy 5–6 45.45%
Ur Divisor vs Leo 0–8 0.00%
Ur Divisor vs Claudio 2–5 28.57%
Ur Divisor vs Kuma 4–3 57.14%
Ur Divisor vs Panda 1–6 14.29%
Ur Divisor vs Zafina 4–2 66.67%
Ur Divisor vs Clive 2–3 40.00%
Ur Divisor vs Shaheen 2–2 50.00%
Ur Divisor vs Fahkumram 3–0 100.00%
Ur Divisor vs Anna 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.