| Veldam vs Kazuya | 60–25 | 70.59% |
| Veldam vs Reina | 45–11 | 80.36% |
| Veldam vs Jin | 27–16 | 62.79% |
| Veldam vs King | 22–16 | 57.89% |
| Veldam vs Bryan | 29–6 | 82.86% |
| Veldam vs Steve | 18–13 | 58.06% |
| Veldam vs Law | 22–8 | 73.33% |
| Veldam vs Yoshimitsu | 18–12 | 60.00% |
| Veldam vs Hwoarang | 15–14 | 51.72% |
| Veldam vs Xiaoyu | 15–14 | 51.72% |
| Veldam vs Heihachi | 16–9 | 64.00% |
| Veldam vs Lili | 12–12 | 50.00% |
| Veldam vs Jun | 13–11 | 54.17% |
| Veldam vs Paul | 12–9 | 57.14% |
| Veldam vs Asuka | 16–5 | 76.19% |
| Veldam vs Lee | 13–7 | 65.00% |
| Veldam vs Dragunov | 9–8 | 52.94% |
| Veldam vs Raven | 12–5 | 70.59% |
| Veldam vs Devil Jin | 8–8 | 50.00% |
| Veldam vs Zafina | 9–7 | 56.25% |
| Veldam vs Eddy | 9–7 | 56.25% |
| Veldam vs Feng | 8–5 | 61.54% |
| Veldam vs Leo | 12–1 | 92.31% |
| Veldam vs Lars | 7–4 | 63.64% |
| Veldam vs Victor | 8–3 | 72.73% |
| Veldam vs Leroy | 4–6 | 40.00% |
| Veldam vs Alisa | 5–4 | 55.56% |
| Veldam vs Azucena | 8–0 | 100.00% |
| Veldam vs Claudio | 6–1 | 85.71% |
| Veldam vs Nina | 4–2 | 66.67% |
| Veldam vs Lidia | 4–1 | 80.00% |
| Veldam vs Jack-8 | 2–2 | 50.00% |
| Veldam vs Kuma | 3–1 | 75.00% |
| Veldam vs Clive | 1–3 | 25.00% |
| Veldam vs Panda | 3–0 | 100.00% |
| Veldam vs Shaheen | 0–2 | 0.00% |
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.