| Pakmafia vs King | 57–46 | 55.34% |
| Pakmafia vs Jin | 46–51 | 47.42% |
| Pakmafia vs Lidia | 41–50 | 45.05% |
| Pakmafia vs Kazuya | 36–52 | 40.91% |
| Pakmafia vs Law | 50–32 | 60.98% |
| Pakmafia vs Steve | 37–31 | 54.41% |
| Pakmafia vs Eddy | 39–28 | 58.21% |
| Pakmafia vs Lili | 35–30 | 53.85% |
| Pakmafia vs Bryan | 37–27 | 57.81% |
| Pakmafia vs Dragunov | 36–28 | 56.25% |
| Pakmafia vs Azucena | 34–29 | 53.97% |
| Pakmafia vs Hwoarang | 34–22 | 60.71% |
| Pakmafia vs Reina | 26–24 | 52.00% |
| Pakmafia vs Asuka | 22–23 | 48.89% |
| Pakmafia vs Yoshimitsu | 24–18 | 57.14% |
| Pakmafia vs Lars | 25–16 | 60.98% |
| Pakmafia vs Fahkumram | 8–33 | 19.51% |
| Pakmafia vs Lee | 20–20 | 50.00% |
| Pakmafia vs Paul | 24–15 | 61.54% |
| Pakmafia vs Jun | 14–24 | 36.84% |
| Pakmafia vs Xiaoyu | 21–14 | 60.00% |
| Pakmafia vs Nina | 16–16 | 50.00% |
| Pakmafia vs Heihachi | 13–19 | 40.62% |
| Pakmafia vs Feng | 19–8 | 70.37% |
| Pakmafia vs Leo | 14–13 | 51.85% |
| Pakmafia vs Raven | 12–14 | 46.15% |
| Pakmafia vs Alisa | 12–13 | 48.00% |
| Pakmafia vs Victor | 11–13 | 45.83% |
| Pakmafia vs Devil Jin | 11–12 | 47.83% |
| Pakmafia vs Leroy | 14–8 | 63.64% |
| Pakmafia vs Kuma | 5–15 | 25.00% |
| Pakmafia vs Anna | 8–12 | 40.00% |
| Pakmafia vs Claudio | 7–10 | 41.18% |
| Pakmafia vs Jack-8 | 6–10 | 37.50% |
| Pakmafia vs Clive | 6–10 | 37.50% |
| Pakmafia vs Shaheen | 1–9 | 10.00% |
| Pakmafia vs Miary Zo | 2–8 | 20.00% |
| Pakmafia vs Armor King | 3–6 | 33.33% |
| Pakmafia vs Zafina | 6–2 | 75.00% |
| Pakmafia vs Panda | 2–1 | 66.67% |
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.