Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NuGallis vs Jin 87–105 45.31%
NuGallis vs King 91–95 48.92%
NuGallis vs Law 97–84 53.59%
NuGallis vs Kazuya 75–95 44.12%
NuGallis vs Bryan 69–80 46.31%
NuGallis vs Reina 64–81 44.14%
NuGallis vs Hwoarang 62–82 43.06%
NuGallis vs Steve 69–74 48.25%
NuGallis vs Lili 61–64 48.80%
NuGallis vs Dragunov 51–58 46.79%
NuGallis vs Eddy 60–49 55.05%
NuGallis vs Lee 38–43 46.91%
NuGallis vs Heihachi 39–42 48.15%
NuGallis vs Jun 37–43 46.25%
NuGallis vs Victor 38–41 48.10%
NuGallis vs Yoshimitsu 31–46 40.26%
NuGallis vs Azucena 41–31 56.94%
NuGallis vs Xiaoyu 32–37 46.38%
NuGallis vs Paul 23–41 35.94%
NuGallis vs Lars 36–27 57.14%
NuGallis vs Asuka 33–28 54.10%
NuGallis vs Nina 24–32 42.86%
NuGallis vs Armor King 30–25 54.55%
NuGallis vs Feng 26–26 50.00%
NuGallis vs Raven 21–27 43.75%
NuGallis vs Clive 20–27 42.55%
NuGallis vs Devil Jin 23–22 51.11%
NuGallis vs Leroy 25–17 59.52%
NuGallis vs Jack-8 18–23 43.90%
NuGallis vs Alisa 16–25 39.02%
NuGallis vs Miary Zo 21–15 58.33%
NuGallis vs Lidia 20–15 57.14%
NuGallis vs Fahkumram 17–18 48.57%
NuGallis vs Kuma 15–18 45.45%
NuGallis vs Leo 9–22 29.03%
NuGallis vs Claudio 9–21 30.00%
NuGallis vs Shaheen 14–13 51.85%
NuGallis vs Zafina 9–18 33.33%
NuGallis vs Anna 14–9 60.87%
NuGallis vs Panda 12–4 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.