| SajBajwa vs Kazuya | 122–47 | 72.19% |
| SajBajwa vs Bryan | 84–42 | 66.67% |
| SajBajwa vs Jin | 67–21 | 76.14% |
| SajBajwa vs Reina | 59–29 | 67.05% |
| SajBajwa vs Steve | 60–24 | 71.43% |
| SajBajwa vs Hwoarang | 65–16 | 80.25% |
| SajBajwa vs Heihachi | 44–27 | 61.97% |
| SajBajwa vs Law | 54–12 | 81.82% |
| SajBajwa vs Armor King | 52–13 | 80.00% |
| SajBajwa vs Paul | 53–9 | 85.48% |
| SajBajwa vs Lars | 46–16 | 74.19% |
| SajBajwa vs Lee | 44–18 | 70.97% |
| SajBajwa vs Yoshimitsu | 49–9 | 84.48% |
| SajBajwa vs Raven | 50–8 | 86.21% |
| SajBajwa vs King | 44–12 | 78.57% |
| SajBajwa vs Dragunov | 46–8 | 85.19% |
| SajBajwa vs Feng | 35–15 | 70.00% |
| SajBajwa vs Azucena | 37–13 | 74.00% |
| SajBajwa vs Asuka | 34–14 | 70.83% |
| SajBajwa vs Leroy | 38–5 | 88.37% |
| SajBajwa vs Victor | 38–5 | 88.37% |
| SajBajwa vs Miary Zo | 33–10 | 76.74% |
| SajBajwa vs Jack-8 | 23–17 | 57.50% |
| SajBajwa vs Devil Jin | 28–9 | 75.68% |
| SajBajwa vs Jun | 27–9 | 75.00% |
| SajBajwa vs Leo | 23–12 | 65.71% |
| SajBajwa vs Claudio | 27–7 | 79.41% |
| SajBajwa vs Clive | 30–4 | 88.24% |
| SajBajwa vs Eddy | 23–9 | 71.88% |
| SajBajwa vs Zafina | 28–2 | 93.33% |
| SajBajwa vs Xiaoyu | 21–7 | 75.00% |
| SajBajwa vs Alisa | 18–9 | 66.67% |
| SajBajwa vs Lili | 18–7 | 72.00% |
| SajBajwa vs Lidia | 18–7 | 72.00% |
| SajBajwa vs Shaheen | 18–5 | 78.26% |
| SajBajwa vs Fahkumram | 17–6 | 73.91% |
| SajBajwa vs Nina | 13–5 | 72.22% |
| SajBajwa vs Kuma | 10–4 | 71.43% |
| SajBajwa vs Anna | 8–3 | 72.73% |
| SajBajwa vs Panda | 5–3 | 62.50% |
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.