Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
ivangucci888

Ratings

ivangucci888 vs Reina 33–40 45.21%
ivangucci888 vs King 30–34 46.88%
ivangucci888 vs Kazuya 24–39 38.10%
ivangucci888 vs Jin 31–28 52.54%
ivangucci888 vs Steve 25–26 49.02%
ivangucci888 vs Lidia 21–27 43.75%
ivangucci888 vs Bryan 23–18 56.10%
ivangucci888 vs Victor 22–19 53.66%
ivangucci888 vs Hwoarang 12–26 31.58%
ivangucci888 vs Dragunov 10–28 26.32%
ivangucci888 vs Law 15–22 40.54%
ivangucci888 vs Eddy 20–17 54.05%
ivangucci888 vs Clive 16–18 47.06%
ivangucci888 vs Paul 12–21 36.36%
ivangucci888 vs Jun 19–13 59.38%
ivangucci888 vs Azucena 14–16 46.67%
ivangucci888 vs Nina 15–13 53.57%
ivangucci888 vs Devil Jin 13–13 50.00%
ivangucci888 vs Feng 7–15 31.82%
ivangucci888 vs Yoshimitsu 13–8 61.90%
ivangucci888 vs Asuka 11–8 57.89%
ivangucci888 vs Xiaoyu 7–11 38.89%
ivangucci888 vs Lili 7–10 41.18%
ivangucci888 vs Shaheen 4–13 23.53%
ivangucci888 vs Jack-8 7–9 43.75%
ivangucci888 vs Lee 9–7 56.25%
ivangucci888 vs Alisa 3–11 21.43%
ivangucci888 vs Leo 3–8 27.27%
ivangucci888 vs Lars 3–7 30.00%
ivangucci888 vs Leroy 3–7 30.00%
ivangucci888 vs Claudio 5–4 55.56%
ivangucci888 vs Kuma 4–5 44.44%
ivangucci888 vs Zafina 3–4 42.86%
ivangucci888 vs Heihachi 3–4 42.86%
ivangucci888 vs Raven 2–2 50.00%
ivangucci888 vs Panda 0–3 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.