Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Heavy Weight

Ratings

Heavy Weight vs Bryan 35–35 50.00%
Heavy Weight vs Kazuya 36–27 57.14%
Heavy Weight vs Heihachi 28–34 45.16%
Heavy Weight vs Jin 30–29 50.85%
Heavy Weight vs Hwoarang 34–19 64.15%
Heavy Weight vs King 27–18 60.00%
Heavy Weight vs Dragunov 30–13 69.77%
Heavy Weight vs Law 25–16 60.98%
Heavy Weight vs Steve 21–14 60.00%
Heavy Weight vs Jun 19–9 67.86%
Heavy Weight vs Yoshimitsu 16–10 61.54%
Heavy Weight vs Victor 14–10 58.33%
Heavy Weight vs Anna 12–12 50.00%
Heavy Weight vs Lili 14–8 63.64%
Heavy Weight vs Reina 14–8 63.64%
Heavy Weight vs Paul 9–11 45.00%
Heavy Weight vs Lee 11–6 64.71%
Heavy Weight vs Devil Jin 13–3 81.25%
Heavy Weight vs Alisa 11–5 68.75%
Heavy Weight vs Eddy 9–5 64.29%
Heavy Weight vs Xiaoyu 10–3 76.92%
Heavy Weight vs Feng 7–4 63.64%
Heavy Weight vs Lars 10–0 100.00%
Heavy Weight vs Shaheen 3–6 33.33%
Heavy Weight vs Lidia 4–5 44.44%
Heavy Weight vs Asuka 5–3 62.50%
Heavy Weight vs Azucena 4–4 50.00%
Heavy Weight vs Armor King 5–3 62.50%
Heavy Weight vs Nina 5–2 71.43%
Heavy Weight vs Fahkumram 5–2 71.43%
Heavy Weight vs Claudio 3–3 50.00%
Heavy Weight vs Leroy 0–5 0.00%
Heavy Weight vs Jack-8 3–1 75.00%
Heavy Weight vs Leo 3–0 100.00%
Heavy Weight vs Zafina 2–0 100.00%
Heavy Weight vs Miary Zo 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.