Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Niilosta vs Kazuya 128–101 55.90%
Niilosta vs Heihachi 95–128 42.60%
Niilosta vs Bryan 71–81 46.71%
Niilosta vs Jin 75–65 53.57%
Niilosta vs King 67–71 48.55%
Niilosta vs Dragunov 50–61 45.05%
Niilosta vs Lidia 56–54 50.91%
Niilosta vs Paul 49–58 45.79%
Niilosta vs Reina 47–50 48.45%
Niilosta vs Steve 54–42 56.25%
Niilosta vs Law 50–45 52.63%
Niilosta vs Lee 41–44 48.24%
Niilosta vs Yoshimitsu 35–45 43.75%
Niilosta vs Hwoarang 42–36 53.85%
Niilosta vs Lili 44–33 57.14%
Niilosta vs Devil Jin 24–47 33.80%
Niilosta vs Asuka 29–35 45.31%
Niilosta vs Azucena 28–32 46.67%
Niilosta vs Nina 26–30 46.43%
Niilosta vs Lars 23–27 46.00%
Niilosta vs Victor 21–24 46.67%
Niilosta vs Claudio 20–24 45.45%
Niilosta vs Miary Zo 18–25 41.86%
Niilosta vs Jun 20–19 51.28%
Niilosta vs Raven 20–14 58.82%
Niilosta vs Xiaoyu 15–16 48.39%
Niilosta vs Shaheen 16–13 55.17%
Niilosta vs Feng 12–16 42.86%
Niilosta vs Jack-8 13–13 50.00%
Niilosta vs Leo 13–13 50.00%
Niilosta vs Leroy 11–13 45.83%
Niilosta vs Armor King 16–8 66.67%
Niilosta vs Alisa 12–11 52.17%
Niilosta vs Fahkumram 8–12 40.00%
Niilosta vs Eddy 8–10 44.44%
Niilosta vs Kuma 11–5 68.75%
Niilosta vs Clive 8–7 53.33%
Niilosta vs Panda 3–6 33.33%
Niilosta vs Zafina 3–5 37.50%
Niilosta vs Anna 2–6 25.00%

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.