| sang5823 vs Reina | 19–39 | 32.76% |
| sang5823 vs Fahkumram | 16–35 | 31.37% |
| sang5823 vs Kazuya | 16–33 | 32.65% |
| sang5823 vs Dragunov | 8–32 | 20.00% |
| sang5823 vs King | 15–23 | 39.47% |
| sang5823 vs Hwoarang | 9–22 | 29.03% |
| sang5823 vs Steve | 17–14 | 54.84% |
| sang5823 vs Bryan | 15–15 | 50.00% |
| sang5823 vs Jin | 11–13 | 45.83% |
| sang5823 vs Asuka | 11–10 | 52.38% |
| sang5823 vs Lars | 5–13 | 27.78% |
| sang5823 vs Xiaoyu | 6–10 | 37.50% |
| sang5823 vs Lili | 4–12 | 25.00% |
| sang5823 vs Heihachi | 5–11 | 31.25% |
| sang5823 vs Claudio | 4–10 | 28.57% |
| sang5823 vs Paul | 3–9 | 25.00% |
| sang5823 vs Victor | 2–10 | 16.67% |
| sang5823 vs Law | 7–4 | 63.64% |
| sang5823 vs Eddy | 5–6 | 45.45% |
| sang5823 vs Yoshimitsu | 5–5 | 50.00% |
| sang5823 vs Alisa | 4–6 | 40.00% |
| sang5823 vs Clive | 2–8 | 20.00% |
| sang5823 vs Armor King | 3–7 | 30.00% |
| sang5823 vs Devil Jin | 5–4 | 55.56% |
| sang5823 vs Jack-8 | 2–6 | 25.00% |
| sang5823 vs Leo | 2–6 | 25.00% |
| sang5823 vs Anna | 2–6 | 25.00% |
| sang5823 vs Leroy | 2–5 | 28.57% |
| sang5823 vs Jun | 1–5 | 16.67% |
| sang5823 vs Azucena | 2–4 | 33.33% |
| sang5823 vs Feng | 4–1 | 80.00% |
| sang5823 vs Lidia | 1–4 | 20.00% |
| sang5823 vs Nina | 2–2 | 50.00% |
| sang5823 vs Lee | 0–4 | 0.00% |
| sang5823 vs Kuma | 0–2 | 0.00% |
| sang5823 vs Panda | 2–0 | 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.