Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Skiff371 vs Reina 76–86 46.91%
Skiff371 vs Kazuya 79–77 50.64%
Skiff371 vs King 68–66 50.75%
Skiff371 vs Jin 50–59 45.87%
Skiff371 vs Bryan 53–53 50.00%
Skiff371 vs Clive 43–58 42.57%
Skiff371 vs Dragunov 33–65 33.67%
Skiff371 vs Steve 40–55 42.11%
Skiff371 vs Heihachi 36–52 40.91%
Skiff371 vs Law 28–51 35.44%
Skiff371 vs Armor King 32–45 41.56%
Skiff371 vs Asuka 31–43 41.89%
Skiff371 vs Jun 29–43 40.28%
Skiff371 vs Lili 30–39 43.48%
Skiff371 vs Fahkumram 23–46 33.33%
Skiff371 vs Paul 18–50 26.47%
Skiff371 vs Lars 19–36 34.55%
Skiff371 vs Eddy 13–40 24.53%
Skiff371 vs Yoshimitsu 14–37 27.45%
Skiff371 vs Lee 19–32 37.25%
Skiff371 vs Nina 26–22 54.17%
Skiff371 vs Victor 22–26 45.83%
Skiff371 vs Hwoarang 16–31 34.04%
Skiff371 vs Anna 21–24 46.67%
Skiff371 vs Xiaoyu 12–29 29.27%
Skiff371 vs Jack-8 14–27 34.15%
Skiff371 vs Azucena 18–23 43.90%
Skiff371 vs Devil Jin 13–23 36.11%
Skiff371 vs Lidia 16–18 47.06%
Skiff371 vs Claudio 11–21 34.38%
Skiff371 vs Feng 10–20 33.33%
Skiff371 vs Miary Zo 13–16 44.83%
Skiff371 vs Leo 7–20 25.93%
Skiff371 vs Alisa 8–19 29.63%
Skiff371 vs Raven 8–13 38.10%
Skiff371 vs Shaheen 10–7 58.82%
Skiff371 vs Kuma 7–10 41.18%
Skiff371 vs Zafina 8–9 47.06%
Skiff371 vs Leroy 6–5 54.55%
Skiff371 vs Panda 4–1 80.00%

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.