Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
KentEatSports

Ratings

KentEatSports vs Clive 36–35 50.70%
KentEatSports vs Reina 39–18 68.42%
KentEatSports vs Jin 31–15 67.39%
KentEatSports vs Bryan 32–13 71.11%
KentEatSports vs King 32–11 74.42%
KentEatSports vs Eddy 33–8 80.49%
KentEatSports vs Hwoarang 27–11 71.05%
KentEatSports vs Paul 32–5 86.49%
KentEatSports vs Kazuya 25–11 69.44%
KentEatSports vs Steve 28–8 77.78%
KentEatSports vs Lili 20–16 55.56%
KentEatSports vs Dragunov 22–13 62.86%
KentEatSports vs Lars 18–12 60.00%
KentEatSports vs Yoshimitsu 16–13 55.17%
KentEatSports vs Heihachi 13–16 44.83%
KentEatSports vs Leroy 12–11 52.17%
KentEatSports vs Jun 20–2 90.91%
KentEatSports vs Lee 18–3 85.71%
KentEatSports vs Victor 10–10 50.00%
KentEatSports vs Xiaoyu 13–6 68.42%
KentEatSports vs Azucena 9–9 50.00%
KentEatSports vs Law 11–5 68.75%
KentEatSports vs Feng 13–3 81.25%
KentEatSports vs Asuka 14–1 93.33%
KentEatSports vs Jack-8 8–6 57.14%
KentEatSports vs Leo 10–3 76.92%
KentEatSports vs Alisa 8–3 72.73%
KentEatSports vs Nina 5–6 45.45%
KentEatSports vs Shaheen 8–2 80.00%
KentEatSports vs Zafina 4–6 40.00%
KentEatSports vs Raven 5–5 50.00%
KentEatSports vs Devil Jin 5–2 71.43%
KentEatSports vs Kuma 5–1 83.33%
KentEatSports vs Panda 2–1 66.67%
KentEatSports vs Claudio 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.