Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mrboost vs King 252–210 54.55%
Mrboost vs Bryan 231–191 54.74%
Mrboost vs Jin 210–203 50.85%
Mrboost vs Kazuya 245–165 59.76%
Mrboost vs Hwoarang 140–182 43.48%
Mrboost vs Heihachi 156–158 49.68%
Mrboost vs Steve 150–152 49.67%
Mrboost vs Law 145–149 49.32%
Mrboost vs Paul 166–116 58.87%
Mrboost vs Yoshimitsu 127–125 50.40%
Mrboost vs Lili 122–122 50.00%
Mrboost vs Reina 103–136 43.10%
Mrboost vs Dragunov 122–103 54.22%
Mrboost vs Lee 120–96 55.56%
Mrboost vs Lars 113–97 53.81%
Mrboost vs Feng 109–91 54.50%
Mrboost vs Jun 95–100 48.72%
Mrboost vs Xiaoyu 118–71 62.43%
Mrboost vs Azucena 97–90 51.87%
Mrboost vs Eddy 92–76 54.76%
Mrboost vs Asuka 83–57 59.29%
Mrboost vs Leo 70–70 50.00%
Mrboost vs Nina 72–67 51.80%
Mrboost vs Devil Jin 73–63 53.68%
Mrboost vs Alisa 62–70 46.97%
Mrboost vs Raven 67–64 51.15%
Mrboost vs Jack-8 54–65 45.38%
Mrboost vs Victor 63–56 52.94%
Mrboost vs Kuma 46–62 42.59%
Mrboost vs Anna 48–50 48.98%
Mrboost vs Leroy 49–44 52.69%
Mrboost vs Clive 34–58 36.96%
Mrboost vs Claudio 47–38 55.29%
Mrboost vs Fahkumram 33–41 44.59%
Mrboost vs Armor King 38–32 54.29%
Mrboost vs Zafina 27–41 39.71%
Mrboost vs Lidia 33–35 48.53%
Mrboost vs Shaheen 29–32 47.54%
Mrboost vs Panda 21–23 47.73%
Mrboost vs Miary Zo 21–13 61.76%

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.