Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

dai7san vs Bryan 237–224 51.41%
dai7san vs Hwoarang 198–232 46.05%
dai7san vs King 215–135 61.43%
dai7san vs Dragunov 192–130 59.63%
dai7san vs Asuka 155–159 49.36%
dai7san vs Yoshimitsu 167–128 56.61%
dai7san vs Kazuya 165–126 56.70%
dai7san vs Paul 160–128 55.56%
dai7san vs Jin 131–150 46.62%
dai7san vs Law 136–114 54.40%
dai7san vs Lars 129–119 52.02%
dai7san vs Jack-8 124–118 51.24%
dai7san vs Steve 104–137 43.15%
dai7san vs Claudio 104–104 50.00%
dai7san vs Feng 89–108 45.18%
dai7san vs Devil Jin 88–105 45.60%
dai7san vs Heihachi 80–110 42.11%
dai7san vs Lili 95–94 50.26%
dai7san vs Xiaoyu 96–91 51.34%
dai7san vs Lee 101–86 54.01%
dai7san vs Jun 99–80 55.31%
dai7san vs Fahkumram 92–74 55.42%
dai7san vs Reina 68–93 42.24%
dai7san vs Leroy 83–71 53.90%
dai7san vs Alisa 64–81 44.14%
dai7san vs Nina 70–68 50.72%
dai7san vs Raven 63–75 45.65%
dai7san vs Victor 51–84 37.78%
dai7san vs Anna 67–66 50.38%
dai7san vs Lidia 64–68 48.48%
dai7san vs Shaheen 72–57 55.81%
dai7san vs Azucena 40–78 33.90%
dai7san vs Eddy 47–69 40.52%
dai7san vs Kuma 66–48 57.89%
dai7san vs Leo 47–50 48.45%
dai7san vs Clive 37–55 40.22%
dai7san vs Zafina 34–40 45.95%
dai7san vs Armor King 21–43 32.81%
dai7san vs Panda 18–25 41.86%
dai7san vs Miary Zo 17–24 41.46%

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.