Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
LucaSKAndRapper

Ratings

LucaSKAndRapper vs Reina 89–10 89.90%
LucaSKAndRapper vs Steve 73–1 98.65%
LucaSKAndRapper vs Jin 69–4 94.52%
LucaSKAndRapper vs Eddy 69–3 95.83%
LucaSKAndRapper vs Asuka 66–4 94.29%
LucaSKAndRapper vs Dragunov 68–1 98.55%
LucaSKAndRapper vs Kazuya 63–5 92.65%
LucaSKAndRapper vs King 63–0 100.00%
LucaSKAndRapper vs Bryan 60–1 98.36%
LucaSKAndRapper vs Hwoarang 55–2 96.49%
LucaSKAndRapper vs Jun 49–0 100.00%
LucaSKAndRapper vs Azucena 48–1 97.96%
LucaSKAndRapper vs Victor 48–1 97.96%
LucaSKAndRapper vs Leo 40–1 97.56%
LucaSKAndRapper vs Law 39–1 97.50%
LucaSKAndRapper vs Lars 33–2 94.29%
LucaSKAndRapper vs Lee 28–2 93.33%
LucaSKAndRapper vs Lili 28–1 96.55%
LucaSKAndRapper vs Nina 24–2 92.31%
LucaSKAndRapper vs Devil Jin 25–0 100.00%
LucaSKAndRapper vs Raven 22–3 88.00%
LucaSKAndRapper vs Claudio 21–2 91.30%
LucaSKAndRapper vs Yoshimitsu 22–0 100.00%
LucaSKAndRapper vs Jack-8 20–2 90.91%
LucaSKAndRapper vs Alisa 19–3 86.36%
LucaSKAndRapper vs Xiaoyu 21–0 100.00%
LucaSKAndRapper vs Paul 17–2 89.47%
LucaSKAndRapper vs Leroy 16–1 94.12%
LucaSKAndRapper vs Kuma 15–0 100.00%
LucaSKAndRapper vs Zafina 10–1 90.91%
LucaSKAndRapper vs Shaheen 10–0 100.00%
LucaSKAndRapper vs Feng 9–0 100.00%
LucaSKAndRapper vs Panda 2–0 100.00%

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.