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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NECROLOG vs King 45–52–1 46.39%
NECROLOG vs Hwoarang 57–40 58.76%
NECROLOG vs Kazuya 60–35 63.16%
NECROLOG vs Jin 36–46 43.90%
NECROLOG vs Bryan 42–30 58.33%
NECROLOG vs Dragunov 43–29 59.72%
NECROLOG vs Devil Jin 33–30 52.38%
NECROLOG vs Paul 25–31 44.64%
NECROLOG vs Steve 26–29 47.27%
NECROLOG vs Heihachi 24–29 45.28%
NECROLOG vs Lili 21–29 42.00%
NECROLOG vs Lee 21–25 45.65%
NECROLOG vs Reina 30–16 65.22%
NECROLOG vs Lars 16–26 38.10%
NECROLOG vs Feng 20–18 52.63%
NECROLOG vs Anna 19–18 51.35%
NECROLOG vs Law 20–15 57.14%
NECROLOG vs Yoshimitsu 19–15 55.88%
NECROLOG vs Leroy 19–13 59.38%
NECROLOG vs Azucena 18–14 56.25%
NECROLOG vs Asuka 16–15 51.61%
NECROLOG vs Xiaoyu 16–11 59.26%
NECROLOG vs Claudio 19–8 70.37%
NECROLOG vs Lidia 14–12 53.85%
NECROLOG vs Shaheen 14–11 56.00%
NECROLOG vs Alisa 12–12 50.00%
NECROLOG vs Nina 14–8 63.64%
NECROLOG vs Armor King 12–10 54.55%
NECROLOG vs Jack-8 11–10 52.38%
NECROLOG vs Jun 10–11 47.62%
NECROLOG vs Leo 10–10 50.00%
NECROLOG vs Raven 9–11 45.00%
NECROLOG vs Eddy 10–7 58.82%
NECROLOG vs Zafina 10–6 62.50%
NECROLOG vs Clive 8–7 53.33%
NECROLOG vs Fahkumram 5–10 33.33%
NECROLOG vs Victor 8–0 100.00%
NECROLOG vs Panda 4–3 57.14%
NECROLOG vs Miary Zo 3–4 42.86%
NECROLOG vs Kuma 2–0 100.00%

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.