Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

LImm
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대형마트시식코너단무지수호자
utf-8
LImm vs Paul 34–12 73.91%
LImm vs Kazuya 25–8 75.76%
LImm vs Victor 18–14 56.25%
LImm vs King 18–12 60.00%
LImm vs Devil Jin 17–11 60.71%
LImm vs Azucena 18–10 64.29%
LImm vs Jin 15–9 62.50%
LImm vs Reina 18–6 75.00%
LImm vs Feng 8–15 34.78%
LImm vs Nina 7–16 30.43%
LImm vs Dragunov 13–8 61.90%
LImm vs Bryan 11–7 61.11%
LImm vs Steve 15–3 83.33%
LImm vs Yoshimitsu 11–6 64.71%
LImm vs Hwoarang 6–10 37.50%
LImm vs Jun 9–7 56.25%
LImm vs Raven 10–6 62.50%
LImm vs Lili 8–5 61.54%
LImm vs Xiaoyu 7–5 58.33%
LImm vs Alisa 5–7 41.67%
LImm vs Law 3–7 30.00%
LImm vs Lars 4–6 40.00%
LImm vs Asuka 9–0 100.00%
LImm vs Leo 5–4 55.56%
LImm vs Kuma 5–3 62.50%
LImm vs Lidia 3–3 50.00%
LImm vs Shaheen 1–4 20.00%
LImm vs Leroy 3–1 75.00%
LImm vs Claudio 2–1 66.67%
LImm vs Lee 3–0 100.00%
LImm vs Panda 1–2 33.33%
LImm vs Eddy 2–1 66.67%
LImm vs Jack-8 1–1 50.00%
LImm vs Zafina 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.