Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Nidoking vs Dragunov 71–86 45.22%
Nidoking vs Bryan 78–74 51.32%
Nidoking vs Kazuya 74–52 58.73%
Nidoking vs Hwoarang 62–62 50.00%
Nidoking vs Reina 71–51 58.20%
Nidoking vs Steve 64–56 53.33%
Nidoking vs Victor 61–52 53.98%
Nidoking vs King 65–45 59.09%
Nidoking vs Lili 53–54 49.53%
Nidoking vs Jin 49–55 47.12%
Nidoking vs Asuka 41–56 42.27%
Nidoking vs Devil Jin 39–46 45.88%
Nidoking vs Paul 41–42 49.40%
Nidoking vs Feng 40–39 50.63%
Nidoking vs Law 39–39 50.00%
Nidoking vs Nina 39–38 50.65%
Nidoking vs Claudio 38–33 53.52%
Nidoking vs Leroy 36–35 50.70%
Nidoking vs Azucena 33–36 47.83%
Nidoking vs Eddy 35–33 51.47%
Nidoking vs Jack-8 28–37 43.08%
Nidoking vs Alisa 34–30 53.12%
Nidoking vs Lee 35–28 55.56%
Nidoking vs Jun 37–24 60.66%
Nidoking vs Lars 23–33 41.07%
Nidoking vs Leo 26–29 47.27%
Nidoking vs Yoshimitsu 20–33 37.74%
Nidoking vs Shaheen 21–32 39.62%
Nidoking vs Xiaoyu 27–20 57.45%
Nidoking vs Kuma 19–19 50.00%
Nidoking vs Armor King 23–15 60.53%
Nidoking vs Lidia 16–18 47.06%
Nidoking vs Heihachi 10–22 31.25%
Nidoking vs Fahkumram 12–18 40.00%
Nidoking vs Raven 14–14 50.00%
Nidoking vs Zafina 4–21 16.00%
Nidoking vs Anna 12–8 60.00%
Nidoking vs Panda 8–8 50.00%
Nidoking vs Clive 3–7 30.00%
Nidoking vs Miary Zo 0–2 0.00%

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.