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TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
AstraliX

Ratings

AstraliX vs Jin 120–133 47.43%
AstraliX vs Kazuya 109–122 47.19%
AstraliX vs Armor King 82–123 40.00%
AstraliX vs King 96–103 48.24%
AstraliX vs Hwoarang 73–86 45.91%
AstraliX vs Law 63–79 44.37%
AstraliX vs Bryan 72–68 51.43%
AstraliX vs Steve 57–78 42.22%
AstraliX vs Heihachi 43–62 40.95%
AstraliX vs Paul 42–62 40.38%
AstraliX vs Devil Jin 50–50 50.00%
AstraliX vs Reina 48–50 48.98%
AstraliX vs Dragunov 43–45 48.86%
AstraliX vs Lili 42–40 51.22%
AstraliX vs Alisa 36–43 45.57%
AstraliX vs Jun 39–37 51.32%
AstraliX vs Yoshimitsu 53–19–1 73.61%
AstraliX vs Feng 35–35 50.00%
AstraliX vs Nina 22–37 37.29%
AstraliX vs Lee 36–23 61.02%
AstraliX vs Lidia 30–29 50.85%
AstraliX vs Lars 30–26 53.57%
AstraliX vs Azucena 21–34 38.18%
AstraliX vs Victor 26–27 49.06%
AstraliX vs Eddy 35–16 68.63%
AstraliX vs Asuka 18–31 36.73%
AstraliX vs Jack-8 22–24 47.83%
AstraliX vs Miary Zo 14–26 35.00%
AstraliX vs Leroy 21–14 60.00%
AstraliX vs Fahkumram 18–16 52.94%
AstraliX vs Xiaoyu 18–11 62.07%
AstraliX vs Shaheen 14–6 70.00%
AstraliX vs Raven 9–10 47.37%
AstraliX vs Leo 10–5 66.67%
AstraliX vs Claudio 6–9 40.00%
AstraliX vs Anna 6–8 42.86%
AstraliX vs Clive 3–9 25.00%
AstraliX vs Kuma 3–6 33.33%
AstraliX vs Zafina 2–2 50.00%
AstraliX vs Panda 1–2 33.33%

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.