Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Monkeboi vs Heihachi 112–93 54.63%
Monkeboi vs Kazuya 103–98 51.24%
Monkeboi vs King 103–95 52.02%
Monkeboi vs Reina 110–87 55.84%
Monkeboi vs Jin 83–72 53.55%
Monkeboi vs Steve 84–66 56.00%
Monkeboi vs Bryan 77–63 55.00%
Monkeboi vs Hwoarang 48–53 47.52%
Monkeboi vs Dragunov 48–50 48.98%
Monkeboi vs Paul 54–43 55.67%
Monkeboi vs Yoshimitsu 46–47 49.46%
Monkeboi vs Asuka 50–42 54.35%
Monkeboi vs Eddy 50–39 56.18%
Monkeboi vs Clive 44–36 55.00%
Monkeboi vs Law 40–34 54.05%
Monkeboi vs Azucena 37–31 54.41%
Monkeboi vs Lili 34–33 50.75%
Monkeboi vs Lars 44–22 66.67%
Monkeboi vs Lee 36–29 55.38%
Monkeboi vs Jun 38–27 58.46%
Monkeboi vs Xiaoyu 26–33 44.07%
Monkeboi vs Victor 37–20 64.91%
Monkeboi vs Leo 27–26 50.94%
Monkeboi vs Armor King 31–22 58.49%
Monkeboi vs Alisa 22–29 43.14%
Monkeboi vs Lidia 23–27 46.00%
Monkeboi vs Devil Jin 18–26 40.91%
Monkeboi vs Fahkumram 27–17 61.36%
Monkeboi vs Nina 31–12 72.09%
Monkeboi vs Kuma 25–18 58.14%
Monkeboi vs Claudio 24–18 57.14%
Monkeboi vs Jack-8 18–23 43.90%
Monkeboi vs Raven 14–18 43.75%
Monkeboi vs Feng 17–14 54.84%
Monkeboi vs Leroy 14–13 51.85%
Monkeboi vs Shaheen 12–13 48.00%
Monkeboi vs Zafina 16–9 64.00%
Monkeboi vs Anna 11–7 61.11%
Monkeboi vs Miary Zo 6–9 40.00%
Monkeboi vs Panda 5–5 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.