Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Trenbolone
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Ratings

Trenbolone vs King 40–35 53.33%
Trenbolone vs Clive 39–31 55.71%
Trenbolone vs Heihachi 42–24 63.64%
Trenbolone vs Kazuya 32–29 52.46%
Trenbolone vs Reina 29–28 50.88%
Trenbolone vs Jin 33–22 60.00%
Trenbolone vs Bryan 25–28 47.17%
Trenbolone vs Victor 30–23 56.60%
Trenbolone vs Law 27–23 54.00%
Trenbolone vs Lili 28–18 60.87%
Trenbolone vs Hwoarang 29–16 64.44%
Trenbolone vs Steve 31–14 68.89%
Trenbolone vs Eddy 32–8 80.00%
Trenbolone vs Dragunov 27–12 69.23%
Trenbolone vs Jun 17–19 47.22%
Trenbolone vs Xiaoyu 15–14 51.72%
Trenbolone vs Lars 19–10 65.52%
Trenbolone vs Fahkumram 11–17 39.29%
Trenbolone vs Feng 11–16 40.74%
Trenbolone vs Paul 17–9 65.38%
Trenbolone vs Asuka 12–12 50.00%
Trenbolone vs Azucena 12–11 52.17%
Trenbolone vs Yoshimitsu 12–10 54.55%
Trenbolone vs Jack-8 13–8 61.90%
Trenbolone vs Raven 14–7 66.67%
Trenbolone vs Lee 14–6 70.00%
Trenbolone vs Nina 13–6 68.42%
Trenbolone vs Leroy 8–11 42.11%
Trenbolone vs Lidia 6–12 33.33%
Trenbolone vs Leo 7–9 43.75%
Trenbolone vs Alisa 9–7 56.25%
Trenbolone vs Claudio 10–6 62.50%
Trenbolone vs Devil Jin 7–8 46.67%
Trenbolone vs Kuma 10–3 76.92%
Trenbolone vs Panda 9–3 75.00%
Trenbolone vs Shaheen 2–6 25.00%
Trenbolone vs Zafina 2–2 50.00%
Trenbolone vs Anna 1–3 25.00%

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.