Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Spamming

Ratings

Spamming vs Reina 10–4 71.43%
Spamming vs Paul 9–2 81.82%
Spamming vs Eddy 3–6 33.33%
Spamming vs Dragunov 3–5 37.50%
Spamming vs Hwoarang 3–4 42.86%
Spamming vs Jin 6–1 85.71%
Spamming vs Kazuya 3–4 42.86%
Spamming vs Steve 5–2 71.43%
Spamming vs King 5–1 83.33%
Spamming vs Bryan 0–6 0.00%
Spamming vs Devil Jin 4–2 66.67%
Spamming vs Azucena 5–1 83.33%
Spamming vs Victor 4–2 66.67%
Spamming vs Lars 3–2 60.00%
Spamming vs Law 1–3 25.00%
Spamming vs Yoshimitsu 3–1 75.00%
Spamming vs Leo 3–1 75.00%
Spamming vs Jun 1–3 25.00%
Spamming vs Xiaoyu 2–1 66.67%
Spamming vs Asuka 1–2 33.33%
Spamming vs Lili 1–2 33.33%
Spamming vs Lee 1–2 33.33%
Spamming vs Heihachi 3–0 100.00%
Spamming vs Alisa 2–0 100.00%
Spamming vs Claudio 1–1 50.00%
Spamming vs Nina 0–2 0.00%
Spamming vs Zafina 2–0 100.00%
Spamming vs Clive 2–0 100.00%
Spamming vs Shaheen 0–1 0.00%
Spamming vs Kuma 0–1 0.00%
Spamming vs Leroy 1–0 100.00%

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.