| 1234a vs Law | 19–18 | 51.35% |
| 1234a vs Jin | 13–14 | 48.15% |
| 1234a vs Eddy | 7–14 | 33.33% |
| 1234a vs Bryan | 10–10 | 50.00% |
| 1234a vs Hwoarang | 14–4 | 77.78% |
| 1234a vs King | 10–5 | 66.67% |
| 1234a vs Yoshimitsu | 9–6 | 60.00% |
| 1234a vs Dragunov | 5–9 | 35.71% |
| 1234a vs Miary Zo | 5–8 | 38.46% |
| 1234a vs Feng | 6–6 | 50.00% |
| 1234a vs Azucena | 9–3 | 75.00% |
| 1234a vs Paul | 3–8 | 27.27% |
| 1234a vs Heihachi | 7–4 | 63.64% |
| 1234a vs Xiaoyu | 5–5 | 50.00% |
| 1234a vs Kazuya | 1–9 | 10.00% |
| 1234a vs Steve | 7–3 | 70.00% |
| 1234a vs Asuka | 8–2 | 80.00% |
| 1234a vs Fahkumram | 3–7 | 30.00% |
| 1234a vs Jack-8 | 4–4 | 50.00% |
| 1234a vs Lili | 2–5 | 28.57% |
| 1234a vs Alisa | 4–3 | 57.14% |
| 1234a vs Victor | 6–1 | 85.71% |
| 1234a vs Armor King | 5–2 | 71.43% |
| 1234a vs Nina | 3–3 | 50.00% |
| 1234a vs Devil Jin | 2–3 | 40.00% |
| 1234a vs Leo | 2–3 | 40.00% |
| 1234a vs Lars | 5–0 | 100.00% |
| 1234a vs Jun | 3–2 | 60.00% |
| 1234a vs Lidia | 2–2 | 50.00% |
| 1234a vs Shaheen | 2–1 | 66.67% |
| 1234a vs Reina | 0–3 | 0.00% |
| 1234a vs Raven | 3–0 | 100.00% |
| 1234a vs Clive | 2–1 | 66.67% |
| 1234a vs Kuma | 2–0 | 100.00% |
| 1234a vs Leroy | 1–1 | 50.00% |
| 1234a vs Claudio | 1–0 | 100.00% |
| 1234a vs Lee | 1–0 | 100.00% |
| 1234a vs Zafina | 1–0 | 100.00% |
| 1234a vs Anna | 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.