Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

HEUREUX vs Kazuya 243–206 54.12%
HEUREUX vs Bryan 181–218 45.36%
HEUREUX vs Reina 217–178 54.94%
HEUREUX vs King 179–199 47.35%
HEUREUX vs Jin 168–203 45.28%
HEUREUX vs Paul 161–199 44.72%
HEUREUX vs Hwoarang 164–185 46.99%
HEUREUX vs Dragunov 143–201 41.57%
HEUREUX vs Law 148–136 52.11%
HEUREUX vs Asuka 150–133 53.00%
HEUREUX vs Lili 131–151 46.45%
HEUREUX vs Armor King 96–124 43.64%
HEUREUX vs Feng 96–107 47.29%
HEUREUX vs Yoshimitsu 88–105 45.60%
HEUREUX vs Azucena 90–99 47.62%
HEUREUX vs Steve 74–112 39.78%
HEUREUX vs Victor 82–99 45.30%
HEUREUX vs Jun 84–95 46.93%
HEUREUX vs Alisa 54–118 31.40%
HEUREUX vs Leroy 70–101 40.94%
HEUREUX vs Lars 71–97 42.26%
HEUREUX vs Claudio 64–98 39.51%
HEUREUX vs Nina 78–84 48.15%
HEUREUX vs Xiaoyu 79–79 50.00%
HEUREUX vs Devil Jin 60–88 40.54%
HEUREUX vs Leo 59–84 41.26%
HEUREUX vs Lee 54–83 39.42%
HEUREUX vs Eddy 51–84 37.78%
HEUREUX vs Jack-8 45–87 34.09%
HEUREUX vs Heihachi 55–71 43.65%
HEUREUX vs Shaheen 43–57 43.00%
HEUREUX vs Lidia 45–51 46.88%
HEUREUX vs Miary Zo 42–50 45.65%
HEUREUX vs Zafina 38–50 43.18%
HEUREUX vs Raven 37–41 47.44%
HEUREUX vs Anna 27–28 49.09%
HEUREUX vs Fahkumram 21–29 42.00%
HEUREUX vs Panda 25–24 51.02%
HEUREUX vs Kuma 15–32 31.91%
HEUREUX vs Clive 17–14 54.84%

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.