Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KingBoon vs Jin 81–93 46.55%
KingBoon vs King 85–77 52.47%
KingBoon vs Hwoarang 76–65 53.90%
KingBoon vs Law 58–73 44.27%
KingBoon vs Kazuya 59–68 46.46%
KingBoon vs Steve 66–53 55.46%
KingBoon vs Bryan 51–62 45.13%
KingBoon vs Lars 55–45 55.00%
KingBoon vs Eddy 49–46 51.58%
KingBoon vs Reina 38–55 40.86%
KingBoon vs Lili 43–43 50.00%
KingBoon vs Paul 37–42 46.84%
KingBoon vs Jun 42–33 56.00%
KingBoon vs Yoshimitsu 40–34 54.05%
KingBoon vs Asuka 41–33 55.41%
KingBoon vs Dragunov 34–38 47.22%
KingBoon vs Azucena 35–36 49.30%
KingBoon vs Lee 30–31 49.18%
KingBoon vs Nina 32–28 53.33%
KingBoon vs Alisa 24–32 42.86%
KingBoon vs Victor 20–36 35.71%
KingBoon vs Xiaoyu 28–25 52.83%
KingBoon vs Raven 24–24 50.00%
KingBoon vs Jack-8 18–28 39.13%
KingBoon vs Leo 24–22 52.17%
KingBoon vs Armor King 15–29 34.09%
KingBoon vs Kuma 11–25 30.56%
KingBoon vs Leroy 17–18 48.57%
KingBoon vs Feng 13–20 39.39%
KingBoon vs Lidia 15–15 50.00%
KingBoon vs Devil Jin 12–17 41.38%
KingBoon vs Fahkumram 13–16 44.83%
KingBoon vs Clive 9–19 32.14%
KingBoon vs Heihachi 10–16 38.46%
KingBoon vs Claudio 10–12 45.45%
KingBoon vs Shaheen 8–10 44.44%
KingBoon vs Anna 6–11 35.29%
KingBoon vs Zafina 7–8 46.67%
KingBoon vs Panda 4–6 40.00%
KingBoon vs Miary Zo 3–5 37.50%

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.