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TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mandive vs Kazuya 350–297 54.10%
Mandive vs Jin 280–321 46.59%
Mandive vs King 277–236 54.00%
Mandive vs Hwoarang 233–265 46.79%
Mandive vs Bryan 228–236 49.14%
Mandive vs Armor King 194–214 47.55%
Mandive vs Law 214–190 52.97%
Mandive vs Steve 220–169 56.56%
Mandive vs Paul 163–221 42.45%
Mandive vs Dragunov 192–183 51.20%
Mandive vs Yoshimitsu 175–167 51.17%
Mandive vs Reina 154–153 50.16%
Mandive vs Lili 140–158 46.98%
Mandive vs Devil Jin 115–140 45.10%
Mandive vs Lee 124–124 50.00%
Mandive vs Asuka 134–106 55.83%
Mandive vs Nina 99–132 42.86%
Mandive vs Heihachi 98–129 43.17%
Mandive vs Jun 117–104 52.94%
Mandive vs Lars 106–111 48.85%
Mandive vs Eddy 108–106 50.47%
Mandive vs Xiaoyu 88–98 47.31%
Mandive vs Azucena 97–88 52.43%
Mandive vs Feng 89–95 48.37%
Mandive vs Victor 85–87 49.42%
Mandive vs Fahkumram 57–96 37.25%
Mandive vs Alisa 54–92 36.99%
Mandive vs Claudio 62–82 43.06%
Mandive vs Leroy 58–82–1 41.43%
Mandive vs Miary Zo 68–72 48.57%
Mandive vs Jack-8 58–73 44.27%
Mandive vs Anna 57–73 43.85%
Mandive vs Raven 59–65 47.58%
Mandive vs Lidia 57–67 45.97%
Mandive vs Zafina 28–70 28.57%
Mandive vs Shaheen 44–51 46.32%
Mandive vs Kuma 47–47 50.00%
Mandive vs Leo 48–45 51.61%
Mandive vs Clive 37–52 41.57%
Mandive vs Panda 27–23 54.00%

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.