| marosimasa vs Reina | 44–41 | 51.76% |
| marosimasa vs King | 25–54 | 31.65% |
| marosimasa vs Kazuya | 30–41 | 42.25% |
| marosimasa vs Dragunov | 17–50 | 25.37% |
| marosimasa vs Lili | 27–33 | 45.00% |
| marosimasa vs Hwoarang | 28–29 | 49.12% |
| marosimasa vs Jin | 13–43 | 23.21% |
| marosimasa vs Bryan | 19–37 | 33.93% |
| marosimasa vs Law | 15–35 | 30.00% |
| marosimasa vs Paul | 14–35 | 28.57% |
| marosimasa vs Yoshimitsu | 16–32 | 33.33% |
| marosimasa vs Jun | 15–30 | 33.33% |
| marosimasa vs Steve | 22–19 | 53.66% |
| marosimasa vs Clive | 11–30 | 26.83% |
| marosimasa vs Victor | 12–28 | 30.00% |
| marosimasa vs Alisa | 13–21 | 38.24% |
| marosimasa vs Devil Jin | 5–28 | 15.15% |
| marosimasa vs Asuka | 11–21 | 34.38% |
| marosimasa vs Lidia | 11–20 | 35.48% |
| marosimasa vs Shaheen | 8–17 | 32.00% |
| marosimasa vs Nina | 14–11 | 56.00% |
| marosimasa vs Xiaoyu | 11–12 | 47.83% |
| marosimasa vs Heihachi | 6–16 | 27.27% |
| marosimasa vs Kuma | 5–15 | 25.00% |
| marosimasa vs Jack-8 | 7–11 | 38.89% |
| marosimasa vs Azucena | 6–11 | 35.29% |
| marosimasa vs Fahkumram | 7–8 | 46.67% |
| marosimasa vs Feng | 3–11 | 21.43% |
| marosimasa vs Claudio | 8–6 | 57.14% |
| marosimasa vs Eddy | 0–14 | 0.00% |
| marosimasa vs Armor King | 4–10 | 28.57% |
| marosimasa vs Leo | 3–10 | 23.08% |
| marosimasa vs Miary Zo | 3–10 | 23.08% |
| marosimasa vs Leroy | 5–6 | 45.45% |
| marosimasa vs Raven | 4–5 | 44.44% |
| marosimasa vs Lee | 0–8 | 0.00% |
| marosimasa vs Lars | 1–6 | 14.29% |
| marosimasa vs Panda | 1–4 | 20.00% |
| marosimasa vs Anna | 4–1 | 80.00% |
| marosimasa vs Zafina | 4–0 | 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.