| NancyAjram vs Reina | 141–184 | 43.38% |
| NancyAjram vs King | 137–177 | 43.63% |
| NancyAjram vs Kazuya | 110–156 | 41.35% |
| NancyAjram vs Heihachi | 89–118 | 43.00% |
| NancyAjram vs Jin | 81–100–1 | 44.75% |
| NancyAjram vs Steve | 82–94 | 46.59% |
| NancyAjram vs Bryan | 70–78 | 47.30% |
| NancyAjram vs Law | 47–97 | 32.64% |
| NancyAjram vs Dragunov | 49–91 | 35.00% |
| NancyAjram vs Hwoarang | 54–75 | 41.86% |
| NancyAjram vs Yoshimitsu | 48–76 | 38.71% |
| NancyAjram vs Lili | 46–70 | 39.66% |
| NancyAjram vs Paul | 28–82 | 25.45% |
| NancyAjram vs Eddy | 28–74 | 27.45% |
| NancyAjram vs Asuka | 37–56 | 39.78% |
| NancyAjram vs Nina | 37–53 | 41.11% |
| NancyAjram vs Jun | 35–55 | 38.89% |
| NancyAjram vs Devil Jin | 27–62 | 30.34% |
| NancyAjram vs Clive | 31–53 | 36.90% |
| NancyAjram vs Lee | 42–37 | 53.16% |
| NancyAjram vs Azucena | 33–46 | 41.77% |
| NancyAjram vs Lidia | 23–54 | 29.87% |
| NancyAjram vs Victor | 28–48 | 36.84% |
| NancyAjram vs Lars | 31–44 | 41.33% |
| NancyAjram vs Leo | 34–40 | 45.95% |
| NancyAjram vs Xiaoyu | 31–40–1 | 43.66% |
| NancyAjram vs Kuma | 19–36 | 34.55% |
| NancyAjram vs Feng | 7–40 | 14.89% |
| NancyAjram vs Raven | 27–17 | 61.36% |
| NancyAjram vs Leroy | 9–32 | 21.95% |
| NancyAjram vs Claudio | 12–27 | 30.77% |
| NancyAjram vs Jack-8 | 17–21 | 44.74% |
| NancyAjram vs Alisa | 11–25 | 30.56% |
| NancyAjram vs Fahkumram | 11–20 | 35.48% |
| NancyAjram vs Armor King | 13–18 | 41.94% |
| NancyAjram vs Shaheen | 12–15 | 44.44% |
| NancyAjram vs Anna | 15–11 | 57.69% |
| NancyAjram vs Panda | 6–9 | 40.00% |
| NancyAjram vs Zafina | 6–8 | 42.86% |
| NancyAjram vs Miary Zo | 2–0 | 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.