Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TPMonster vs King 81–97 45.51%
TPMonster vs Heihachi 55–83 39.86%
TPMonster vs Reina 55–80 40.74%
TPMonster vs Kazuya 63–64 49.61%
TPMonster vs Jin 54–72 42.86%
TPMonster vs Bryan 44–60 42.31%
TPMonster vs Law 43–58 42.57%
TPMonster vs Steve 40–52 43.48%
TPMonster vs Lili 41–49 45.56%
TPMonster vs Hwoarang 39–45 46.43%
TPMonster vs Paul 41–37 52.56%
TPMonster vs Yoshimitsu 25–40 38.46%
TPMonster vs Azucena 24–33 42.11%
TPMonster vs Asuka 21–35 37.50%
TPMonster vs Jun 24–30 44.44%
TPMonster vs Lee 15–31 32.61%
TPMonster vs Clive 19–27 41.30%
TPMonster vs Lidia 20–24 45.45%
TPMonster vs Xiaoyu 26–17 60.47%
TPMonster vs Alisa 21–22 48.84%
TPMonster vs Devil Jin 20–22 47.62%
TPMonster vs Fahkumram 16–26 38.10%
TPMonster vs Lars 14–26 35.00%
TPMonster vs Dragunov 20–18 52.63%
TPMonster vs Claudio 21–15 58.33%
TPMonster vs Eddy 15–21 41.67%
TPMonster vs Victor 12–21 36.36%
TPMonster vs Armor King 10–17 37.04%
TPMonster vs Leo 5–20 20.00%
TPMonster vs Nina 9–16 36.00%
TPMonster vs Anna 11–11 50.00%
TPMonster vs Leroy 8–12 40.00%
TPMonster vs Raven 10–10 50.00%
TPMonster vs Jack-8 9–8 52.94%
TPMonster vs Feng 5–10 33.33%
TPMonster vs Panda 5–4 55.56%
TPMonster vs Shaheen 4–4 50.00%
TPMonster vs Kuma 3–5 37.50%
TPMonster vs Zafina 2–1 66.67%

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.