Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Montrals vs Kazuya 99–99 50.00%
Montrals vs Bryan 59–99 37.34%
Montrals vs Jin 59–86 40.69%
Montrals vs Armor King 71–65 52.21%
Montrals vs King 58–57 50.43%
Montrals vs Law 54–55 49.54%
Montrals vs Reina 57–52 52.29%
Montrals vs Asuka 52–51 50.49%
Montrals vs Yoshimitsu 38–64 37.25%
Montrals vs Dragunov 49–50 49.49%
Montrals vs Steve 45–53 45.92%
Montrals vs Heihachi 43–55 43.88%
Montrals vs Hwoarang 35–55 38.89%
Montrals vs Lili 35–44 44.30%
Montrals vs Paul 42–35 54.55%
Montrals vs Lee 31–42 42.47%
Montrals vs Xiaoyu 29–34 46.03%
Montrals vs Lidia 27–34 44.26%
Montrals vs Jun 32–28 53.33%
Montrals vs Devil Jin 26–33 44.07%
Montrals vs Lars 21–29 42.00%
Montrals vs Azucena 29–19 60.42%
Montrals vs Victor 23–22 51.11%
Montrals vs Raven 24–18 57.14%
Montrals vs Alisa 18–22 45.00%
Montrals vs Feng 13–26 33.33%
Montrals vs Shaheen 21–17 55.26%
Montrals vs Leroy 19–18 51.35%
Montrals vs Eddy 17–20 45.95%
Montrals vs Nina 13–18 41.94%
Montrals vs Jack-8 18–11 62.07%
Montrals vs Leo 10–18 35.71%
Montrals vs Clive 16–12 57.14%
Montrals vs Claudio 10–12 45.45%
Montrals vs Kuma 6–15 28.57%
Montrals vs Miary Zo 7–9 43.75%
Montrals vs Anna 6–9 40.00%
Montrals vs Panda 1–12 7.69%
Montrals vs Fahkumram 4–6 40.00%
Montrals vs Zafina 6–3 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.