| Mandra vs Armor King | 27–17 | 61.36% |
| Mandra vs King | 27–16 | 62.79% |
| Mandra vs Steve | 18–17 | 51.43% |
| Mandra vs Kazuya | 16–15 | 51.61% |
| Mandra vs Jin | 18–12 | 60.00% |
| Mandra vs Bryan | 11–12 | 47.83% |
| Mandra vs Heihachi | 10–13 | 43.48% |
| Mandra vs Law | 13–7 | 65.00% |
| Mandra vs Yoshimitsu | 6–14 | 30.00% |
| Mandra vs Dragunov | 8–11 | 42.11% |
| Mandra vs Reina | 12–7 | 63.16% |
| Mandra vs Lars | 10–5 | 66.67% |
| Mandra vs Asuka | 10–3 | 76.92% |
| Mandra vs Azucena | 7–6 | 53.85% |
| Mandra vs Xiaoyu | 5–7 | 41.67% |
| Mandra vs Feng | 8–4 | 66.67% |
| Mandra vs Hwoarang | 7–4 | 63.64% |
| Mandra vs Jun | 4–7 | 36.36% |
| Mandra vs Lili | 6–4 | 60.00% |
| Mandra vs Claudio | 6–4 | 60.00% |
| Mandra vs Eddy | 8–2 | 80.00% |
| Mandra vs Paul | 2–7 | 22.22% |
| Mandra vs Devil Jin | 4–5 | 44.44% |
| Mandra vs Nina | 2–7 | 22.22% |
| Mandra vs Miary Zo | 4–5 | 44.44% |
| Mandra vs Lidia | 1–6 | 14.29% |
| Mandra vs Clive | 2–5 | 28.57% |
| Mandra vs Leo | 1–5 | 16.67% |
| Mandra vs Leroy | 3–3 | 50.00% |
| Mandra vs Fahkumram | 3–3 | 50.00% |
| Mandra vs Lee | 2–2 | 50.00% |
| Mandra vs Anna | 1–3 | 25.00% |
| Mandra vs Alisa | 2–0 | 100.00% |
| Mandra vs Raven | 0–2 | 0.00% |
| Mandra vs Jack-8 | 0–1 | 0.00% |
| Mandra vs Kuma | 0–1 | 0.00% |
| Mandra vs Victor | 0–1 | 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.