| gangster vs Armor King | 82–87 | 48.52% |
| gangster vs King | 68–85 | 44.44% |
| gangster vs Jin | 69–75 | 47.92% |
| gangster vs Law | 56–32 | 63.64% |
| gangster vs Kazuya | 39–45 | 46.43% |
| gangster vs Bryan | 29–40 | 42.03% |
| gangster vs Steve | 38–30 | 55.88% |
| gangster vs Xiaoyu | 28–30 | 48.28% |
| gangster vs Lili | 26–31 | 45.61% |
| gangster vs Heihachi | 26–28 | 48.15% |
| gangster vs Asuka | 24–29 | 45.28% |
| gangster vs Dragunov | 27–26 | 50.94% |
| gangster vs Reina | 25–28 | 47.17% |
| gangster vs Hwoarang | 26–25 | 50.98% |
| gangster vs Eddy | 25–26 | 49.02% |
| gangster vs Yoshimitsu | 26–24 | 52.00% |
| gangster vs Devil Jin | 23–25 | 47.92% |
| gangster vs Lee | 19–20 | 48.72% |
| gangster vs Anna | 14–24 | 36.84% |
| gangster vs Lidia | 21–16 | 56.76% |
| gangster vs Paul | 11–23 | 32.35% |
| gangster vs Azucena | 12–22 | 35.29% |
| gangster vs Leo | 16–17 | 48.48% |
| gangster vs Fahkumram | 18–13 | 58.06% |
| gangster vs Alisa | 14–16 | 46.67% |
| gangster vs Jun | 13–15 | 46.43% |
| gangster vs Feng | 10–17 | 37.04% |
| gangster vs Victor | 10–15 | 40.00% |
| gangster vs Jack-8 | 7–16 | 30.43% |
| gangster vs Leroy | 9–14 | 39.13% |
| gangster vs Lars | 10–12 | 45.45% |
| gangster vs Nina | 9–13 | 40.91% |
| gangster vs Miary Zo | 14–8 | 63.64% |
| gangster vs Raven | 7–9 | 43.75% |
| gangster vs Clive | 9–6 | 60.00% |
| gangster vs Claudio | 6–6 | 50.00% |
| gangster vs Zafina | 3–9 | 25.00% |
| gangster vs Kuma | 8–2 | 80.00% |
| gangster vs Shaheen | 0–4 | 0.00% |
| gangster vs Panda | 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.