TommyN_ghtm_re vs Jin | 38–35 | 52.05% |
TommyN_ghtm_re vs King | 40–29 | 57.97% |
TommyN_ghtm_re vs Reina | 28–33 | 45.90% |
TommyN_ghtm_re vs Bryan | 30–27 | 52.63% |
TommyN_ghtm_re vs Kazuya | 39–17 | 69.64% |
TommyN_ghtm_re vs Hwoarang | 20–28 | 41.67% |
TommyN_ghtm_re vs Azucena | 20–25 | 44.44% |
TommyN_ghtm_re vs Yoshimitsu | 22–19 | 53.66% |
TommyN_ghtm_re vs Clive | 25–16 | 60.98% |
TommyN_ghtm_re vs Lars | 20–20 | 50.00% |
TommyN_ghtm_re vs Dragunov | 19–20 | 48.72% |
TommyN_ghtm_re vs Law | 13–21 | 38.24% |
TommyN_ghtm_re vs Lidia | 11–21 | 34.38% |
TommyN_ghtm_re vs Heihachi | 14–18 | 43.75% |
TommyN_ghtm_re vs Steve | 16–15 | 51.61% |
TommyN_ghtm_re vs Jack-8 | 12–18 | 40.00% |
TommyN_ghtm_re vs Devil Jin | 16–14 | 53.33% |
TommyN_ghtm_re vs Lili | 17–13 | 56.67% |
TommyN_ghtm_re vs Eddy | 12–18 | 40.00% |
TommyN_ghtm_re vs Feng | 12–16 | 42.86% |
TommyN_ghtm_re vs Leroy | 16–12 | 57.14% |
TommyN_ghtm_re vs Xiaoyu | 13–13 | 50.00% |
TommyN_ghtm_re vs Victor | 10–16 | 38.46% |
TommyN_ghtm_re vs Raven | 13–12 | 52.00% |
TommyN_ghtm_re vs Claudio | 10–10 | 50.00% |
TommyN_ghtm_re vs Asuka | 9–10 | 47.37% |
TommyN_ghtm_re vs Nina | 6–13 | 31.58% |
TommyN_ghtm_re vs Paul | 10–8 | 55.56% |
TommyN_ghtm_re vs Lee | 9–6 | 60.00% |
TommyN_ghtm_re vs Leo | 6–8 | 42.86% |
TommyN_ghtm_re vs Alisa | 5–8 | 38.46% |
TommyN_ghtm_re vs Jun | 10–2 | 83.33% |
TommyN_ghtm_re vs Shaheen | 4–5 | 44.44% |
TommyN_ghtm_re vs Kuma | 5–4 | 55.56% |
TommyN_ghtm_re vs Zafina | 2–4 | 33.33% |
TommyN_ghtm_re vs Panda | 2–2 | 50.00% |
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.