| Rober MD vs King | 5–9 | 35.71% |
| Rober MD vs Yoshimitsu | 8–4 | 66.67% |
| Rober MD vs Reina | 4–7 | 36.36% |
| Rober MD vs Steve | 3–7 | 30.00% |
| Rober MD vs Xiaoyu | 3–6 | 33.33% |
| Rober MD vs Devil Jin | 2–5 | 28.57% |
| Rober MD vs Jin | 2–4 | 33.33% |
| Rober MD vs Claudio | 4–2 | 66.67% |
| Rober MD vs Hwoarang | 2–3 | 40.00% |
| Rober MD vs Lili | 3–2 | 60.00% |
| Rober MD vs Shaheen | 3–2 | 60.00% |
| Rober MD vs Kazuya | 0–4 | 0.00% |
| Rober MD vs Jack-8 | 2–2 | 50.00% |
| Rober MD vs Asuka | 3–1 | 75.00% |
| Rober MD vs Dragunov | 2–2 | 50.00% |
| Rober MD vs Nina | 2–2 | 50.00% |
| Rober MD vs Jun | 1–3 | 25.00% |
| Rober MD vs Eddy | 0–4 | 0.00% |
| Rober MD vs Bryan | 1–2 | 33.33% |
| Rober MD vs Kuma | 0–3 | 0.00% |
| Rober MD vs Zafina | 1–2 | 33.33% |
| Rober MD vs Victor | 1–2 | 33.33% |
| Rober MD vs Anna | 2–1 | 66.67% |
| Rober MD vs Fahkumram | 1–2 | 33.33% |
| Rober MD vs Law | 1–1 | 50.00% |
| Rober MD vs Feng | 1–1 | 50.00% |
| Rober MD vs Leo | 0–2 | 0.00% |
| Rober MD vs Lars | 0–2 | 0.00% |
| Rober MD vs Alisa | 1–1 | 50.00% |
| Rober MD vs Lee | 1–1 | 50.00% |
| Rober MD vs Leroy | 0–2 | 0.00% |
| Rober MD vs Azucena | 1–1 | 50.00% |
| Rober MD vs Clive | 1–1 | 50.00% |
| Rober MD vs Paul | 0–1 | 0.00% |
| Rober MD vs Lidia | 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.