Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Marguin76 vs Steve 30–17 63.83%
Marguin76 vs Jin 18–25 41.86%
Marguin76 vs Reina 29–13 69.05%
Marguin76 vs King 14–26 35.00%
Marguin76 vs Lili 21–19 52.50%
Marguin76 vs Law 24–12 66.67%
Marguin76 vs Hwoarang 15–19 44.12%
Marguin76 vs Eddy 14–15 48.28%
Marguin76 vs Kazuya 6–18 25.00%
Marguin76 vs Victor 10–13 43.48%
Marguin76 vs Lars 10–12 45.45%
Marguin76 vs Yoshimitsu 6–14 30.00%
Marguin76 vs Nina 4–16 20.00%
Marguin76 vs Devil Jin 8–11 42.11%
Marguin76 vs Asuka 4–14 22.22%
Marguin76 vs Dragunov 11–7 61.11%
Marguin76 vs Anna 7–9 43.75%
Marguin76 vs Lidia 12–3 80.00%
Marguin76 vs Paul 4–10 28.57%
Marguin76 vs Xiaoyu 6–8 42.86%
Marguin76 vs Bryan 4–9 30.77%
Marguin76 vs Azucena 8–5 61.54%
Marguin76 vs Alisa 7–5 58.33%
Marguin76 vs Claudio 3–9 25.00%
Marguin76 vs Zafina 9–3 75.00%
Marguin76 vs Jun 2–8 20.00%
Marguin76 vs Leroy 6–3 66.67%
Marguin76 vs Heihachi 3–6 33.33%
Marguin76 vs Fahkumram 6–3 66.67%
Marguin76 vs Jack-8 5–3 62.50%
Marguin76 vs Feng 1–7 12.50%
Marguin76 vs Leo 3–5 37.50%
Marguin76 vs Shaheen 3–5 37.50%
Marguin76 vs Raven 4–4 50.00%
Marguin76 vs Kuma 2–5 28.57%
Marguin76 vs Clive 3–4 42.86%
Marguin76 vs Lee 1–5 16.67%
Marguin76 vs Miary Zo 2–3 40.00%
Marguin76 vs Armor King 1–2 33.33%
Marguin76 vs Panda 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.