TableForOne vs Heihachi | 39–22 | 63.93% |
TableForOne vs Steve | 23–22 | 51.11% |
TableForOne vs Reina | 19–21 | 47.50% |
TableForOne vs Jin | 11–28 | 28.21% |
TableForOne vs Kazuya | 22–16 | 57.89% |
TableForOne vs Lili | 23–14 | 62.16% |
TableForOne vs King | 16–15 | 51.61% |
TableForOne vs Paul | 11–18 | 37.93% |
TableForOne vs Hwoarang | 15–14 | 51.72% |
TableForOne vs Dragunov | 17–10 | 62.96% |
TableForOne vs Bryan | 12–14 | 46.15% |
TableForOne vs Yoshimitsu | 15–9 | 62.50% |
TableForOne vs Nina | 9–14 | 39.13% |
TableForOne vs Raven | 10–11 | 47.62% |
TableForOne vs Lars | 10–10 | 50.00% |
TableForOne vs Devil Jin | 8–10 | 44.44% |
TableForOne vs Shaheen | 9–9 | 50.00% |
TableForOne vs Xiaoyu | 8–9 | 47.06% |
TableForOne vs Jack-8 | 8–9 | 47.06% |
TableForOne vs Eddy | 9–8 | 52.94% |
TableForOne vs Law | 9–6 | 60.00% |
TableForOne vs Asuka | 5–10 | 33.33% |
TableForOne vs Clive | 6–9 | 40.00% |
TableForOne vs Lee | 8–5 | 61.54% |
TableForOne vs Azucena | 7–6 | 53.85% |
TableForOne vs Victor | 5–8 | 38.46% |
TableForOne vs Leo | 7–5 | 58.33% |
TableForOne vs Jun | 7–4 | 63.64% |
TableForOne vs Alisa | 8–2 | 80.00% |
TableForOne vs Claudio | 5–5 | 50.00% |
TableForOne vs Lidia | 4–5 | 44.44% |
TableForOne vs Kuma | 3–3 | 50.00% |
TableForOne vs Leroy | 4–2 | 66.67% |
TableForOne vs Panda | 1–4 | 20.00% |
TableForOne vs Feng | 1–2 | 33.33% |
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.