| morago vs Kazuya | 36–23 | 61.02% |
| morago vs Hwoarang | 22–19 | 53.66% |
| morago vs Devil Jin | 26–14 | 65.00% |
| morago vs Paul | 22–16 | 57.89% |
| morago vs Jin | 23–11 | 67.65% |
| morago vs Reina | 21–7 | 75.00% |
| morago vs King | 18–8 | 69.23% |
| morago vs Yoshimitsu | 16–8 | 66.67% |
| morago vs Asuka | 15–7 | 68.18% |
| morago vs Dragunov | 15–7 | 68.18% |
| morago vs Fahkumram | 17–5 | 77.27% |
| morago vs Lars | 12–9 | 57.14% |
| morago vs Bryan | 15–5 | 75.00% |
| morago vs Victor | 15–4 | 78.95% |
| morago vs Lili | 14–4 | 77.78% |
| morago vs Xiaoyu | 8–8 | 50.00% |
| morago vs Heihachi | 13–1 | 92.86% |
| morago vs Steve | 10–3 | 76.92% |
| morago vs Alisa | 9–4 | 69.23% |
| morago vs Clive | 10–3 | 76.92% |
| morago vs Leroy | 9–3 | 75.00% |
| morago vs Law | 5–6 | 45.45% |
| morago vs Nina | 2–9 | 18.18% |
| morago vs Azucena | 6–5 | 54.55% |
| morago vs Leo | 4–6 | 40.00% |
| morago vs Claudio | 8–2 | 80.00% |
| morago vs Lee | 7–3 | 70.00% |
| morago vs Kuma | 10–0 | 100.00% |
| morago vs Shaheen | 8–1 | 88.89% |
| morago vs Zafina | 4–4 | 50.00% |
| morago vs Jun | 6–2 | 75.00% |
| morago vs Lidia | 4–4 | 50.00% |
| morago vs Jack-8 | 5–2 | 71.43% |
| morago vs Feng | 1–6 | 14.29% |
| morago vs Raven | 3–3 | 50.00% |
| morago vs Anna | 1–2 | 33.33% |
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.