Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
professor kill

Ratings

professor kill vs Armor King 22–72 23.40%
professor kill vs Kazuya 34–40 45.95%
professor kill vs King 28–42 40.00%
professor kill vs Paul 18–42 30.00%
professor kill vs Reina 31–29 51.67%
professor kill vs Dragunov 12–39 23.53%
professor kill vs Hwoarang 15–34 30.61%
professor kill vs Jun 18–26 40.91%
professor kill vs Bryan 14–29 32.56%
professor kill vs Jin 18–24 42.86%
professor kill vs Asuka 19–23 45.24%
professor kill vs Lili 12–29 29.27%
professor kill vs Steve 9–26 25.71%
professor kill vs Devil Jin 13–22 37.14%
professor kill vs Yoshimitsu 13–21 38.24%
professor kill vs Nina 13–15 46.43%
professor kill vs Victor 13–15 46.43%
professor kill vs Alisa 12–14 46.15%
professor kill vs Xiaoyu 7–18 28.00%
professor kill vs Claudio 7–18 28.00%
professor kill vs Anna 9–16 36.00%
professor kill vs Fahkumram 4–21 16.00%
professor kill vs Clive 7–17 29.17%
professor kill vs Heihachi 4–19 17.39%
professor kill vs Lidia 9–13 40.91%
professor kill vs Law 5–15 25.00%
professor kill vs Azucena 7–13 35.00%
professor kill vs Lars 3–15 16.67%
professor kill vs Miary Zo 6–12 33.33%
professor kill vs Leo 5–12 29.41%
professor kill vs Jack-8 6–9 40.00%
professor kill vs Lee 6–9 40.00%
professor kill vs Raven 4–10 28.57%
professor kill vs Leroy 7–6 53.85%
professor kill vs Eddy 5–6 45.45%
professor kill vs Panda 4–6 40.00%
professor kill vs Kuma 3–6 33.33%
professor kill vs Zafina 4–5 44.44%
professor kill vs Feng 3–4 42.86%
professor kill vs Shaheen 3–1 75.00%

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.