Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Point5blunt

Ratings

Point5blunt vs Clive 24–43 35.82%
Point5blunt vs Jin 26–38 40.62%
Point5blunt vs King 31–31 50.00%
Point5blunt vs Kazuya 33–28 54.10%
Point5blunt vs Steve 25–17 59.52%
Point5blunt vs Law 14–27 34.15%
Point5blunt vs Hwoarang 14–25 35.90%
Point5blunt vs Reina 22–17 56.41%
Point5blunt vs Bryan 22–15 59.46%
Point5blunt vs Xiaoyu 14–21 40.00%
Point5blunt vs Asuka 20–14 58.82%
Point5blunt vs Heihachi 13–17 43.33%
Point5blunt vs Lidia 7–20 25.93%
Point5blunt vs Yoshimitsu 11–15 42.31%
Point5blunt vs Jun 7–19 26.92%
Point5blunt vs Eddy 11–15 42.31%
Point5blunt vs Lili 8–17 32.00%
Point5blunt vs Dragunov 6–18 25.00%
Point5blunt vs Lee 10–13 43.48%
Point5blunt vs Armor King 9–11 45.00%
Point5blunt vs Leo 7–12 36.84%
Point5blunt vs Paul 5–13 27.78%
Point5blunt vs Azucena 6–12 33.33%
Point5blunt vs Victor 10–8 55.56%
Point5blunt vs Lars 9–7 56.25%
Point5blunt vs Leroy 7–9 43.75%
Point5blunt vs Fahkumram 6–10 37.50%
Point5blunt vs Devil Jin 6–9 40.00%
Point5blunt vs Alisa 4–10 28.57%
Point5blunt vs Nina 7–7 50.00%
Point5blunt vs Claudio 7–6 53.85%
Point5blunt vs Jack-8 6–4 60.00%
Point5blunt vs Feng 5–5 50.00%
Point5blunt vs Panda 3–3 50.00%
Point5blunt vs Zafina 4–2 66.67%
Point5blunt vs Kuma 1–2 33.33%
Point5blunt vs Raven 0–2 0.00%

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.