Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
IMdeffgrabbin

Ratings

IMdeffgrabbin vs Reina 28–24 53.85%
IMdeffgrabbin vs Jin 28–22 56.00%
IMdeffgrabbin vs Lee 22–27 44.90%
IMdeffgrabbin vs Bryan 24–21 53.33%
IMdeffgrabbin vs Kazuya 20–21 48.78%
IMdeffgrabbin vs Jun 23–14 62.16%
IMdeffgrabbin vs Lars 20–13 60.61%
IMdeffgrabbin vs Hwoarang 18–12 60.00%
IMdeffgrabbin vs Dragunov 17–13 56.67%
IMdeffgrabbin vs King 11–18 37.93%
IMdeffgrabbin vs Law 11–17 39.29%
IMdeffgrabbin vs Nina 12–16 42.86%
IMdeffgrabbin vs Victor 11–13 45.83%
IMdeffgrabbin vs Lidia 15–9 62.50%
IMdeffgrabbin vs Lili 16–7 69.57%
IMdeffgrabbin vs Shaheen 13–10 56.52%
IMdeffgrabbin vs Paul 10–12 45.45%
IMdeffgrabbin vs Yoshimitsu 11–11 50.00%
IMdeffgrabbin vs Feng 9–12 42.86%
IMdeffgrabbin vs Azucena 12–9 57.14%
IMdeffgrabbin vs Raven 12–8 60.00%
IMdeffgrabbin vs Steve 11–7 61.11%
IMdeffgrabbin vs Devil Jin 5–13 27.78%
IMdeffgrabbin vs Leroy 9–9 50.00%
IMdeffgrabbin vs Asuka 5–12 29.41%
IMdeffgrabbin vs Claudio 6–11 35.29%
IMdeffgrabbin vs Leo 3–11 21.43%
IMdeffgrabbin vs Alisa 6–7 46.15%
IMdeffgrabbin vs Eddy 6–6 50.00%
IMdeffgrabbin vs Jack-8 7–3 70.00%
IMdeffgrabbin vs Zafina 4–5 44.44%
IMdeffgrabbin vs Xiaoyu 4–4 50.00%
IMdeffgrabbin vs Kuma 3–4 42.86%
IMdeffgrabbin vs Panda 0–3 0.00%
IMdeffgrabbin vs Clive 1–1 50.00%

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.