Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

millar
443931Ella
millar vs Paul 130–146 47.10%
millar vs Dragunov 114–153 42.70%
millar vs King 117–135 46.43%
millar vs Kazuya 125–124 50.20%
millar vs Reina 137–111 55.24%
millar vs Jin 114–127 47.30%
millar vs Hwoarang 90–123 42.25%
millar vs Victor 100–106 48.54%
millar vs Yoshimitsu 94–94 50.00%
millar vs Bryan 102–86 54.26%
millar vs Law 91–93 49.46%
millar vs Asuka 75–100 42.86%
millar vs Lili 70–100 41.18%
millar vs Jun 93–74 55.69%
millar vs Steve 79–69 53.38%
millar vs Xiaoyu 54–69 43.90%
millar vs Heihachi 51–69 42.50%
millar vs Feng 49–66 42.61%
millar vs Nina 53–61 46.49%
millar vs Devil Jin 38–64 37.25%
millar vs Alisa 51–49 51.00%
millar vs Eddy 42–56 42.86%
millar vs Lars 50–46 52.08%
millar vs Leo 41–48 46.07%
millar vs Azucena 51–38 57.30%
millar vs Lee 33–49 40.24%
millar vs Leroy 33–42 44.00%
millar vs Lidia 37–37 50.00%
millar vs Claudio 25–39 39.06%
millar vs Jack-8 21–35–1 37.50%
millar vs Kuma 13–39 25.00%
millar vs Raven 18–34 34.62%
millar vs Shaheen 24–26 48.00%
millar vs Zafina 20–22 47.62%
millar vs Clive 10–16 38.46%
millar vs Panda 10–15 40.00%

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.