Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
LadyValentine

Ratings

LadyValentine vs Kazuya 41–35 53.95%
LadyValentine vs Jin 40–30 57.14%
LadyValentine vs Hwoarang 30–29 50.85%
LadyValentine vs King 22–33 40.00%
LadyValentine vs Reina 23–23 50.00%
LadyValentine vs Eddy 20–25 44.44%
LadyValentine vs Yoshimitsu 25–19 56.82%
LadyValentine vs Bryan 18–22 45.00%
LadyValentine vs Dragunov 22–17 56.41%
LadyValentine vs Lili 24–13 64.86%
LadyValentine vs Devil Jin 15–21 41.67%
LadyValentine vs Lars 18–17 51.43%
LadyValentine vs Law 18–14 56.25%
LadyValentine vs Paul 14–11 56.00%
LadyValentine vs Asuka 14–10 58.33%
LadyValentine vs Feng 16–8 66.67%
LadyValentine vs Victor 8–15 34.78%
LadyValentine vs Alisa 14–7 66.67%
LadyValentine vs Claudio 7–13 35.00%
LadyValentine vs Steve 14–5 73.68%
LadyValentine vs Leroy 7–12 36.84%
LadyValentine vs Lee 8–10 44.44%
LadyValentine vs Jun 10–5 66.67%
LadyValentine vs Leo 6–8 42.86%
LadyValentine vs Shaheen 4–9 30.77%
LadyValentine vs Nina 9–4 69.23%
LadyValentine vs Azucena 1–11 8.33%
LadyValentine vs Xiaoyu 6–5 54.55%
LadyValentine vs Zafina 2–5 28.57%
LadyValentine vs Raven 0–3 0.00%
LadyValentine vs Heihachi 0–3 0.00%
LadyValentine vs Jack-8 0–2 0.00%
LadyValentine vs Kuma 0–2 0.00%
LadyValentine vs Lidia 2–0 100.00%
LadyValentine vs Panda 1–0 100.00%

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.