Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

DiamondTSS vs Armor King 33–20 62.26%
DiamondTSS vs Kazuya 34–9 79.07%
DiamondTSS vs Jin 17–16 51.52%
DiamondTSS vs Hwoarang 18–14 56.25%
DiamondTSS vs Bryan 24–7 77.42%
DiamondTSS vs Reina 17–9 65.38%
DiamondTSS vs Dragunov 23–2 92.00%
DiamondTSS vs Heihachi 14–10 58.33%
DiamondTSS vs Fahkumram 14–10 58.33%
DiamondTSS vs King 21–1 95.45%
DiamondTSS vs Feng 10–9 52.63%
DiamondTSS vs Lili 15–2 88.24%
DiamondTSS vs Lee 12–4 75.00%
DiamondTSS vs Miary Zo 13–3 81.25%
DiamondTSS vs Yoshimitsu 8–6 57.14%
DiamondTSS vs Steve 10–4 71.43%
DiamondTSS vs Law 10–3 76.92%
DiamondTSS vs Xiaoyu 9–4 69.23%
DiamondTSS vs Nina 9–4 69.23%
DiamondTSS vs Zafina 10–3 76.92%
DiamondTSS vs Jun 6–5 54.55%
DiamondTSS vs Lidia 7–3 70.00%
DiamondTSS vs Asuka 6–3 66.67%
DiamondTSS vs Alisa 6–3 66.67%
DiamondTSS vs Claudio 8–1 88.89%
DiamondTSS vs Azucena 4–5 44.44%
DiamondTSS vs Devil Jin 7–1 87.50%
DiamondTSS vs Paul 4–3 57.14%
DiamondTSS vs Victor 4–3 57.14%
DiamondTSS vs Leroy 4–2 66.67%
DiamondTSS vs Eddy 5–0 100.00%
DiamondTSS vs Jack-8 3–1 75.00%
DiamondTSS vs Clive 4–0 100.00%
DiamondTSS vs Anna 4–0 100.00%
DiamondTSS vs Kuma 2–1 66.67%
DiamondTSS vs Raven 3–0 100.00%
DiamondTSS vs Leo 2–0 100.00%
DiamondTSS vs Shaheen 1–1 50.00%
DiamondTSS vs Lars 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.