Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
KazamaJin

Ratings

KazamaJin vs Jin 167–172 49.26%
KazamaJin vs Hwoarang 172–144 54.43%
KazamaJin vs King 158–143 52.49%
KazamaJin vs Bryan 145–128 53.11%
KazamaJin vs Kazuya 135–127 51.53%
KazamaJin vs Paul 133–105 55.88%
KazamaJin vs Dragunov 100–99 50.25%
KazamaJin vs Steve 98–92 51.58%
KazamaJin vs Law 92–97 48.68%
KazamaJin vs Yoshimitsu 112–73 60.54%
KazamaJin vs Heihachi 96–83 53.63%
KazamaJin vs Devil Jin 85–76 52.80%
KazamaJin vs Reina 85–70 54.84%
KazamaJin vs Lars 72–79 47.68%
KazamaJin vs Nina 75–56 57.25%
KazamaJin vs Lili 67–57 54.03%
KazamaJin vs Xiaoyu 60–59 50.42%
KazamaJin vs Eddy 62–54 53.45%
KazamaJin vs Asuka 54–57 48.65%
KazamaJin vs Lee 48–59 44.86%
KazamaJin vs Feng 54–52 50.94%
KazamaJin vs Alisa 53–42 55.79%
KazamaJin vs Leroy 46–46 50.00%
KazamaJin vs Jun 45–45 50.00%
KazamaJin vs Azucena 30–54 35.71%
KazamaJin vs Jack-8 36–47 43.37%
KazamaJin vs Leo 31–46 40.26%
KazamaJin vs Raven 33–43 43.42%
KazamaJin vs Victor 32–43 42.67%
KazamaJin vs Clive 33–42 44.00%
KazamaJin vs Zafina 45–28 61.64%
KazamaJin vs Anna 43–24 64.18%
KazamaJin vs Kuma 29–36 44.62%
KazamaJin vs Claudio 19–27 41.30%
KazamaJin vs Shaheen 16–23 41.03%
KazamaJin vs Fahkumram 22–17 56.41%
KazamaJin vs Lidia 8–21 27.59%
KazamaJin vs Panda 14–11 56.00%

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.