Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lasissou vs Kazuya 62–77 44.60%
Lasissou vs Jin 78–57 57.78%
Lasissou vs Hwoarang 63–40 61.17%
Lasissou vs King 54–45 54.55%
Lasissou vs Bryan 59–24 71.08%
Lasissou vs Law 48–33 59.26%
Lasissou vs Paul 53–27 66.25%
Lasissou vs Heihachi 30–39 43.48%
Lasissou vs Steve 30–38 44.12%
Lasissou vs Dragunov 37–29 56.06%
Lasissou vs Lee 30–36 45.45%
Lasissou vs Devil Jin 34–23 59.65%
Lasissou vs Eddy 35–17 67.31%
Lasissou vs Feng 26–25 50.98%
Lasissou vs Armor King 21–26 44.68%
Lasissou vs Yoshimitsu 27–19 58.70%
Lasissou vs Jun 26–20 56.52%
Lasissou vs Reina 25–19 56.82%
Lasissou vs Fahkumram 20–24 45.45%
Lasissou vs Asuka 27–16 62.79%
Lasissou vs Lili 26–17 60.47%
Lasissou vs Nina 23–17 57.50%
Lasissou vs Azucena 21–19 52.50%
Lasissou vs Alisa 27–10 72.97%
Lasissou vs Victor 17–18 48.57%
Lasissou vs Jack-8 24–9 72.73%
Lasissou vs Lidia 15–18 45.45%
Lasissou vs Clive 14–15 48.28%
Lasissou vs Miary Zo 13–15 46.43%
Lasissou vs Xiaoyu 14–13 51.85%
Lasissou vs Leroy 13–13 50.00%
Lasissou vs Kuma 10–14 41.67%
Lasissou vs Leo 10–12 45.45%
Lasissou vs Lars 11–10 52.38%
Lasissou vs Claudio 13–8 61.90%
Lasissou vs Zafina 10–8 55.56%
Lasissou vs Anna 7–11 38.89%
Lasissou vs Raven 11–6 64.71%
Lasissou vs Shaheen 5–9 35.71%
Lasissou vs Panda 5–4 55.56%

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.