Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Tommy Keegan

Ratings

Tommy Keegan vs Kazuya 35–18 66.04%
Tommy Keegan vs Bryan 28–13 68.29%
Tommy Keegan vs Jin 13–20 39.39%
Tommy Keegan vs Jun 17–15 53.12%
Tommy Keegan vs Law 18–11 62.07%
Tommy Keegan vs Hwoarang 14–13 51.85%
Tommy Keegan vs King 12–14 46.15%
Tommy Keegan vs Reina 16–9 64.00%
Tommy Keegan vs Steve 14–10 58.33%
Tommy Keegan vs Dragunov 8–16 33.33%
Tommy Keegan vs Paul 9–11 45.00%
Tommy Keegan vs Yoshimitsu 10–8 55.56%
Tommy Keegan vs Eddy 9–9 50.00%
Tommy Keegan vs Azucena 7–10 41.18%
Tommy Keegan vs Claudio 8–8 50.00%
Tommy Keegan vs Lars 6–9 40.00%
Tommy Keegan vs Nina 8–7 53.33%
Tommy Keegan vs Devil Jin 4–7 36.36%
Tommy Keegan vs Leo 6–4 60.00%
Tommy Keegan vs Victor 3–7 30.00%
Tommy Keegan vs Asuka 5–3 62.50%
Tommy Keegan vs Feng 1–6 14.29%
Tommy Keegan vs Lili 1–6 14.29%
Tommy Keegan vs Alisa 4–3 57.14%
Tommy Keegan vs Lee 3–4 42.86%
Tommy Keegan vs Kuma 3–4 42.86%
Tommy Keegan vs Zafina 4–3 57.14%
Tommy Keegan vs Raven 2–5 28.57%
Tommy Keegan vs Jack-8 3–1 75.00%
Tommy Keegan vs Fahkumram 2–2 50.00%
Tommy Keegan vs Xiaoyu 1–2 33.33%
Tommy Keegan vs Clive 2–0 100.00%
Tommy Keegan vs Panda 1–0 100.00%
Tommy Keegan vs Leroy 1–0 100.00%
Tommy Keegan vs Lidia 0–1 0.00%
Tommy Keegan vs Heihachi 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.