| Magnamolo vs Jin | 36–35 | 50.70% |
| Magnamolo vs Bryan | 25–36 | 40.98% |
| Magnamolo vs King | 24–24 | 50.00% |
| Magnamolo vs Hwoarang | 22–23 | 48.89% |
| Magnamolo vs Reina | 17–24 | 41.46% |
| Magnamolo vs Lili | 17–22 | 43.59% |
| Magnamolo vs Dragunov | 20–19 | 51.28% |
| Magnamolo vs Jun | 19–16 | 54.29% |
| Magnamolo vs Yoshimitsu | 18–16 | 52.94% |
| Magnamolo vs Kazuya | 21–13 | 61.76% |
| Magnamolo vs Paul | 18–15 | 54.55% |
| Magnamolo vs Leo | 14–16 | 46.67% |
| Magnamolo vs Raven | 14–16 | 46.67% |
| Magnamolo vs Eddy | 14–16 | 46.67% |
| Magnamolo vs Jack-8 | 15–11 | 57.69% |
| Magnamolo vs Lars | 17–9 | 65.38% |
| Magnamolo vs Steve | 13–10 | 56.52% |
| Magnamolo vs Victor | 11–11 | 50.00% |
| Magnamolo vs Azucena | 13–6 | 68.42% |
| Magnamolo vs Nina | 12–6 | 66.67% |
| Magnamolo vs Law | 10–6 | 62.50% |
| Magnamolo vs Alisa | 6–10 | 37.50% |
| Magnamolo vs Asuka | 10–5 | 66.67% |
| Magnamolo vs Shaheen | 9–6 | 60.00% |
| Magnamolo vs Kuma | 9–6 | 60.00% |
| Magnamolo vs Devil Jin | 4–9 | 30.77% |
| Magnamolo vs Feng | 7–6 | 53.85% |
| Magnamolo vs Lee | 3–9 | 25.00% |
| Magnamolo vs Zafina | 5–5 | 50.00% |
| Magnamolo vs Xiaoyu | 5–2 | 71.43% |
| Magnamolo vs Claudio | 2–5 | 28.57% |
| Magnamolo vs Panda | 0–2 | 0.00% |
| Magnamolo vs Leroy | 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.