Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
커마=니얼굴=노리벤

Ratings

Name history

커마=니얼굴=노리벤
TEKKEN=LLWWW
TEKKEN=LLWWW!!
커마=니얼굴=노리벤 vs Dragunov 163–206 44.17%
커마=니얼굴=노리벤 vs Hwoarang 159–140 53.18%
커마=니얼굴=노리벤 vs Bryan 138–143 49.11%
커마=니얼굴=노리벤 vs Jin 153–106 59.07%
커마=니얼굴=노리벤 vs Kazuya 118–121 49.37%
커마=니얼굴=노리벤 vs Heihachi 110–124 47.01%
커마=니얼굴=노리벤 vs Reina 115–102 53.00%
커마=니얼굴=노리벤 vs Asuka 114–86 57.00%
커마=니얼굴=노리벤 vs Victor 106–89 54.36%
커마=니얼굴=노리벤 vs King 92–97 48.68%
커마=니얼굴=노리벤 vs Yoshimitsu 111–78 58.73%
커마=니얼굴=노리벤 vs Feng 84–102 45.16%
커마=니얼굴=노리벤 vs Lili 90–93 49.18%
커마=니얼굴=노리벤 vs Steve 85–91 48.30%
커마=니얼굴=노리벤 vs Alisa 83–92 47.43%
커마=니얼굴=노리벤 vs Jun 94–71 56.97%
커마=니얼굴=노리벤 vs Paul 80–84 48.78%
커마=니얼굴=노리벤 vs Law 76–78–1 49.35%
커마=니얼굴=노리벤 vs Nina 85–69 55.19%
커마=니얼굴=노리벤 vs Lee 68–85 44.44%
커마=니얼굴=노리벤 vs Lidia 75–77 49.34%
커마=니얼굴=노리벤 vs Jack-8 82–64 56.16%
커마=니얼굴=노리벤 vs Eddy 68–77 46.90%
커마=니얼굴=노리벤 vs Azucena 70–70 50.00%
커마=니얼굴=노리벤 vs Devil Jin 56–83 40.29%
커마=니얼굴=노리벤 vs Leroy 61–74 45.19%
커마=니얼굴=노리벤 vs Lars 78–56 58.21%
커마=니얼굴=노리벤 vs Xiaoyu 60–68 46.88%
커마=니얼굴=노리벤 vs Shaheen 53–71 42.74%
커마=니얼굴=노리벤 vs Claudio 53–58 47.75%
커마=니얼굴=노리벤 vs Raven 44–61 41.90%
커마=니얼굴=노리벤 vs Kuma 53–46 53.54%
커마=니얼굴=노리벤 vs Leo 39–53 42.39%
커마=니얼굴=노리벤 vs Zafina 33–39 45.83%
커마=니얼굴=노리벤 vs Panda 15–13 53.57%

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.