| NMMC | Leflo vs Jin | 79–53 | 59.85% |
| NMMC | Leflo vs King | 71–30 | 70.30% |
| NMMC | Leflo vs Kazuya | 64–37 | 63.37% |
| NMMC | Leflo vs Reina | 67–32 | 67.68% |
| NMMC | Leflo vs Dragunov | 59–18 | 76.62% |
| NMMC | Leflo vs Steve | 45–27 | 62.50% |
| NMMC | Leflo vs Bryan | 49–20 | 71.01% |
| NMMC | Leflo vs Law | 38–27 | 58.46% |
| NMMC | Leflo vs Hwoarang | 40–25 | 61.54% |
| NMMC | Leflo vs Heihachi | 46–19 | 70.77% |
| NMMC | Leflo vs Feng | 46–15 | 75.41% |
| NMMC | Leflo vs Lee | 43–14 | 75.44% |
| NMMC | Leflo vs Clive | 25–32 | 43.86% |
| NMMC | Leflo vs Yoshimitsu | 34–22 | 60.71% |
| NMMC | Leflo vs Paul | 42–13 | 76.36% |
| NMMC | Leflo vs Eddy | 35–18 | 66.04% |
| NMMC | Leflo vs Lili | 32–20 | 61.54% |
| NMMC | Leflo vs Jun | 27–24 | 52.94% |
| NMMC | Leflo vs Lars | 32–16 | 66.67% |
| NMMC | Leflo vs Devil Jin | 34–13 | 72.34% |
| NMMC | Leflo vs Claudio | 35–12 | 74.47% |
| NMMC | Leflo vs Xiaoyu | 32–12 | 72.73% |
| NMMC | Leflo vs Azucena | 26–18 | 59.09% |
| NMMC | Leflo vs Zafina | 20–23 | 46.51% |
| NMMC | Leflo vs Leo | 24–17 | 58.54% |
| NMMC | Leflo vs Nina | 26–15 | 63.41% |
| NMMC | Leflo vs Asuka | 28–12 | 70.00% |
| NMMC | Leflo vs Jack-8 | 19–17 | 52.78% |
| NMMC | Leflo vs Victor | 17–16 | 51.52% |
| NMMC | Leflo vs Alisa | 22–9 | 70.97% |
| NMMC | Leflo vs Shaheen | 17–12 | 58.62% |
| NMMC | Leflo vs Raven | 17–12 | 58.62% |
| NMMC | Leflo vs Kuma | 17–5 | 77.27% |
| NMMC | Leflo vs Leroy | 13–7 | 65.00% |
| NMMC | Leflo vs Panda | 7–3 | 70.00% |
| NMMC | Leflo vs Lidia | 3–3 | 50.00% |
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.