Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
teatime

Ratings

teatime vs Kazuya 125–109 53.42%
teatime vs Jin 76–77 49.67%
teatime vs Reina 73–80 47.71%
teatime vs Heihachi 52–94 35.62%
teatime vs King 67–65 50.76%
teatime vs Steve 73–55 57.03%
teatime vs Hwoarang 58–67 46.40%
teatime vs Bryan 67–55 54.92%
teatime vs Yoshimitsu 65–50 56.52%
teatime vs Law 45–59 43.27%
teatime vs Dragunov 54–44 55.10%
teatime vs Paul 46–50 47.92%
teatime vs Lee 39–55 41.49%
teatime vs Lili 34–48 41.46%
teatime vs Jun 42–39 51.85%
teatime vs Eddy 33–42 44.00%
teatime vs Alisa 40–28 58.82%
teatime vs Lidia 34–27 55.74%
teatime vs Xiaoyu 35–25 58.33%
teatime vs Devil Jin 27–32 45.76%
teatime vs Nina 30–29 50.85%
teatime vs Victor 37–16 69.81%
teatime vs Azucena 21–31 40.38%
teatime vs Lars 16–30 34.78%
teatime vs Asuka 21–24 46.67%
teatime vs Jack-8 22–19 53.66%
teatime vs Feng 15–26 36.59%
teatime vs Leroy 16–20 44.44%
teatime vs Miary Zo 17–17 50.00%
teatime vs Raven 16–15 51.61%
teatime vs Claudio 15–15 50.00%
teatime vs Anna 16–14 53.33%
teatime vs Armor King 9–9 50.00%
teatime vs Leo 5–12 29.41%
teatime vs Panda 7–5 58.33%
teatime vs Shaheen 1–8 11.11%
teatime vs Zafina 5–4 55.56%
teatime vs Kuma 4–3 57.14%
teatime vs Clive 5–2 71.43%
teatime vs Fahkumram 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.