Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NoobMaster vs Kazuya 34–14 70.83%
NoobMaster vs Dragunov 18–15 54.55%
NoobMaster vs Armor King 20–12 62.50%
NoobMaster vs Bryan 15–16 48.39%
NoobMaster vs King 10–16 38.46%
NoobMaster vs Steve 15–10 60.00%
NoobMaster vs Jin 9–14 39.13%
NoobMaster vs Asuka 11–10 52.38%
NoobMaster vs Law 14–6 70.00%
NoobMaster vs Reina 9–11 45.00%
NoobMaster vs Lili 10–9 52.63%
NoobMaster vs Fahkumram 6–12 33.33%
NoobMaster vs Feng 12–5 70.59%
NoobMaster vs Yoshimitsu 10–6 62.50%
NoobMaster vs Lars 6–10 37.50%
NoobMaster vs Lee 9–7 56.25%
NoobMaster vs Paul 7–8 46.67%
NoobMaster vs Hwoarang 9–5 64.29%
NoobMaster vs Victor 7–6 53.85%
NoobMaster vs Claudio 5–7 41.67%
NoobMaster vs Jack-8 3–6 33.33%
NoobMaster vs Devil Jin 3–6 33.33%
NoobMaster vs Heihachi 5–4 55.56%
NoobMaster vs Clive 4–4 50.00%
NoobMaster vs Kuma 4–3 57.14%
NoobMaster vs Jun 4–3 57.14%
NoobMaster vs Alisa 5–1 83.33%
NoobMaster vs Nina 4–2 66.67%
NoobMaster vs Eddy 0–6 0.00%
NoobMaster vs Shaheen 1–3 25.00%
NoobMaster vs Azucena 4–0 100.00%
NoobMaster vs Panda 1–2 33.33%
NoobMaster vs Zafina 2–1 66.67%
NoobMaster vs Raven 1–2 33.33%
NoobMaster vs Lidia 1–2 33.33%
NoobMaster vs Miary Zo 1–2 33.33%
NoobMaster vs Leo 0–2 0.00%
NoobMaster vs Xiaoyu 1–0 100.00%
NoobMaster vs Anna 0–1 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.