| NY-Reem vs Kazuya | 144–129 | 52.75% |
| NY-Reem vs King | 159–113 | 58.46% |
| NY-Reem vs Jin | 120–144 | 45.45% |
| NY-Reem vs Law | 120–134 | 47.24% |
| NY-Reem vs Bryan | 128–107 | 54.47% |
| NY-Reem vs Steve | 122–101 | 54.71% |
| NY-Reem vs Hwoarang | 100–84 | 54.35% |
| NY-Reem vs Reina | 68–110 | 38.20% |
| NY-Reem vs Heihachi | 71–95–1 | 42.77% |
| NY-Reem vs Dragunov | 72–94 | 43.37% |
| NY-Reem vs Lee | 73–85 | 46.20% |
| NY-Reem vs Lili | 75–61 | 55.15% |
| NY-Reem vs Jun | 61–75 | 44.85% |
| NY-Reem vs Eddy | 67–67 | 50.00% |
| NY-Reem vs Asuka | 59–74 | 44.36% |
| NY-Reem vs Lars | 60–64 | 48.39% |
| NY-Reem vs Yoshimitsu | 67–56 | 54.47% |
| NY-Reem vs Armor King | 59–64 | 47.97% |
| NY-Reem vs Paul | 67–52 | 56.30% |
| NY-Reem vs Lidia | 59–56 | 51.30% |
| NY-Reem vs Xiaoyu | 48–53 | 47.52% |
| NY-Reem vs Azucena | 42–50 | 45.65% |
| NY-Reem vs Fahkumram | 39–50 | 43.82% |
| NY-Reem vs Raven | 40–38 | 51.28% |
| NY-Reem vs Victor | 29–48 | 37.66% |
| NY-Reem vs Feng | 24–51 | 32.00% |
| NY-Reem vs Devil Jin | 32–37 | 46.38% |
| NY-Reem vs Clive | 17–41 | 29.31% |
| NY-Reem vs Claudio | 22–32 | 40.74% |
| NY-Reem vs Nina | 23–27 | 46.00% |
| NY-Reem vs Leroy | 15–35 | 30.00% |
| NY-Reem vs Alisa | 16–33 | 32.65% |
| NY-Reem vs Anna | 14–35 | 28.57% |
| NY-Reem vs Kuma | 24–23 | 51.06% |
| NY-Reem vs Jack-8 | 23–23 | 50.00% |
| NY-Reem vs Leo | 33–13 | 71.74% |
| NY-Reem vs Zafina | 18–10 | 64.29% |
| NY-Reem vs Shaheen | 10–11 | 47.62% |
| NY-Reem vs Miary Zo | 1–6 | 14.29% |
| NY-Reem vs Panda | 1–3 | 25.00% |
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.