Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

DannyMilk vs Bryan 12–20 37.50%
DannyMilk vs Law 12–16 42.86%
DannyMilk vs Jun 13–15 46.43%
DannyMilk vs King 15–12 55.56%
DannyMilk vs Hwoarang 16–11 59.26%
DannyMilk vs Azucena 13–14 48.15%
DannyMilk vs Lili 11–15 42.31%
DannyMilk vs Steve 18–7 72.00%
DannyMilk vs Clive 13–12 52.00%
DannyMilk vs Armor King 12–12 50.00%
DannyMilk vs Lidia 11–12 47.83%
DannyMilk vs Reina 10–12 45.45%
DannyMilk vs Heihachi 12–10 54.55%
DannyMilk vs Kazuya 5–16 23.81%
DannyMilk vs Jin 10–10 50.00%
DannyMilk vs Nina 11–6 64.71%
DannyMilk vs Fahkumram 9–7 56.25%
DannyMilk vs Dragunov 7–8 46.67%
DannyMilk vs Eddy 2–13 13.33%
DannyMilk vs Xiaoyu 9–5 64.29%
DannyMilk vs Anna 6–8 42.86%
DannyMilk vs Feng 6–5 54.55%
DannyMilk vs Kuma 4–7 36.36%
DannyMilk vs Asuka 5–5 50.00%
DannyMilk vs Victor 5–5 50.00%
DannyMilk vs Yoshimitsu 6–3 66.67%
DannyMilk vs Lee 4–5 44.44%
DannyMilk vs Leo 3–5 37.50%
DannyMilk vs Lars 5–3 62.50%
DannyMilk vs Leroy 2–5 28.57%
DannyMilk vs Raven 4–3 57.14%
DannyMilk vs Miary Zo 2–4 33.33%
DannyMilk vs Jack-8 1–4 20.00%
DannyMilk vs Devil Jin 3–2 60.00%
DannyMilk vs Alisa 4–1 80.00%
DannyMilk vs Claudio 1–4 20.00%
DannyMilk vs Zafina 1–4 20.00%
DannyMilk vs Paul 0–4 0.00%
DannyMilk vs Shaheen 0–4 0.00%
DannyMilk vs Panda 1–2 33.33%

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.