Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nemesia vs Kazuya 225–200 52.94%
Nemesia vs Reina 196–210 48.28%
Nemesia vs Dragunov 165–234 41.35%
Nemesia vs King 157–205 43.37%
Nemesia vs Hwoarang 150–210 41.67%
Nemesia vs Bryan 135–204 39.82%
Nemesia vs Paul 161–173 48.20%
Nemesia vs Jin 127–188 40.32%
Nemesia vs Asuka 163–138 54.15%
Nemesia vs Lili 164–119 57.95%
Nemesia vs Law 101–121 45.50%
Nemesia vs Victor 99–112 46.92%
Nemesia vs Yoshimitsu 91–105–1 46.43%
Nemesia vs Xiaoyu 89–108 45.18%
Nemesia vs Steve 95–99 48.97%
Nemesia vs Lee 88–105 45.60%
Nemesia vs Jun 79–102 43.65%
Nemesia vs Azucena 79–100 44.13%
Nemesia vs Feng 64–108 37.21%
Nemesia vs Heihachi 67–102 39.64%
Nemesia vs Lidia 75–92 44.91%
Nemesia vs Lars 65–90 41.94%
Nemesia vs Leo 69–81 46.00%
Nemesia vs Claudio 56–94 37.33%
Nemesia vs Nina 68–76 47.22%
Nemesia vs Alisa 53–89 37.32%
Nemesia vs Devil Jin 62–69 47.33%
Nemesia vs Anna 49–72 40.50%
Nemesia vs Eddy 36–84 30.00%
Nemesia vs Jack-8 39–73 34.82%
Nemesia vs Armor King 34–64 34.69%
Nemesia vs Leroy 43–53 44.79%
Nemesia vs Zafina 34–51 40.00%
Nemesia vs Raven 29–50 36.71%
Nemesia vs Shaheen 33–38 46.48%
Nemesia vs Kuma 21–45 31.82%
Nemesia vs Panda 14–17 45.16%
Nemesia vs Miary Zo 15–16 48.39%
Nemesia vs Clive 10–16 38.46%
Nemesia vs Fahkumram 8–15 34.78%

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.