| 4321 vs Kazuya | 73–102 | 41.71% |
| 4321 vs Jin | 75–77 | 49.34% |
| 4321 vs Hwoarang | 71–65 | 52.21% |
| 4321 vs Bryan | 55–64 | 46.22% |
| 4321 vs King | 56–59 | 48.70% |
| 4321 vs Heihachi | 48–56 | 46.15% |
| 4321 vs Lili | 50–53 | 48.54% |
| 4321 vs Steve | 43–48 | 47.25% |
| 4321 vs Paul | 45–40 | 52.94% |
| 4321 vs Reina | 27–51 | 34.62% |
| 4321 vs Dragunov | 28–44 | 38.89% |
| 4321 vs Fahkumram | 32–34 | 48.48% |
| 4321 vs Law | 28–36 | 43.75% |
| 4321 vs Anna | 29–34 | 46.03% |
| 4321 vs Xiaoyu | 35–25 | 58.33% |
| 4321 vs Yoshimitsu | 27–30 | 47.37% |
| 4321 vs Nina | 19–34 | 35.85% |
| 4321 vs Devil Jin | 21–31 | 40.38% |
| 4321 vs Eddy | 24–27 | 47.06% |
| 4321 vs Lee | 24–22 | 52.17% |
| 4321 vs Lars | 22–20 | 52.38% |
| 4321 vs Asuka | 24–17 | 58.54% |
| 4321 vs Feng | 24–16 | 60.00% |
| 4321 vs Alisa | 22–18 | 55.00% |
| 4321 vs Jun | 15–17 | 46.88% |
| 4321 vs Lidia | 10–18 | 35.71% |
| 4321 vs Leroy | 16–10 | 61.54% |
| 4321 vs Clive | 14–12 | 53.85% |
| 4321 vs Shaheen | 14–11 | 56.00% |
| 4321 vs Azucena | 12–13 | 48.00% |
| 4321 vs Raven | 17–8 | 68.00% |
| 4321 vs Claudio | 6–18 | 25.00% |
| 4321 vs Jack-8 | 12–11 | 52.17% |
| 4321 vs Leo | 7–14 | 33.33% |
| 4321 vs Victor | 9–10 | 47.37% |
| 4321 vs Zafina | 8–8 | 50.00% |
| 4321 vs Kuma | 4–8 | 33.33% |
| 4321 vs Armor King | 4–5 | 44.44% |
| 4321 vs Panda | 5–3 | 62.50% |
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.