| FTF | S.Bajwa vs Jin | 75–17 | 81.52% |
| FTF | S.Bajwa vs Bryan | 55–14 | 79.71% |
| FTF | S.Bajwa vs Kazuya | 59–10 | 85.51% |
| FTF | S.Bajwa vs Steve | 56–7 | 88.89% |
| FTF | S.Bajwa vs Hwoarang | 45–13 | 77.59% |
| FTF | S.Bajwa vs Dragunov | 48–6 | 88.89% |
| FTF | S.Bajwa vs King | 46–7 | 86.79% |
| FTF | S.Bajwa vs Reina | 47–3 | 94.00% |
| FTF | S.Bajwa vs Yoshimitsu | 41–8 | 83.67% |
| FTF | S.Bajwa vs Azucena | 42–6 | 87.50% |
| FTF | S.Bajwa vs Law | 37–8 | 82.22% |
| FTF | S.Bajwa vs Jun | 39–1 | 97.50% |
| FTF | S.Bajwa vs Victor | 27–10 | 72.97% |
| FTF | S.Bajwa vs Paul | 30–6 | 83.33% |
| FTF | S.Bajwa vs Leo | 29–7 | 80.56% |
| FTF | S.Bajwa vs Eddy | 31–5 | 86.11% |
| FTF | S.Bajwa vs Xiaoyu | 23–10 | 69.70% |
| FTF | S.Bajwa vs Feng | 27–6 | 81.82% |
| FTF | S.Bajwa vs Asuka | 27–5 | 84.38% |
| FTF | S.Bajwa vs Devil Jin | 24–8 | 75.00% |
| FTF | S.Bajwa vs Lars | 27–5 | 84.38% |
| FTF | S.Bajwa vs Kuma | 21–6 | 77.78% |
| FTF | S.Bajwa vs Lili | 19–2 | 90.48% |
| FTF | S.Bajwa vs Lee | 18–2 | 90.00% |
| FTF | S.Bajwa vs Nina | 14–3 | 82.35% |
| FTF | S.Bajwa vs Alisa | 14–2 | 87.50% |
| FTF | S.Bajwa vs Zafina | 13–3 | 81.25% |
| FTF | S.Bajwa vs Jack-8 | 13–2 | 86.67% |
| FTF | S.Bajwa vs Shaheen | 10–5 | 66.67% |
| FTF | S.Bajwa vs Claudio | 12–2 | 85.71% |
| FTF | S.Bajwa vs Leroy | 12–2 | 85.71% |
| FTF | S.Bajwa vs Raven | 12–1 | 92.31% |
| FTF | S.Bajwa vs Panda | 3–3 | 50.00% |
| FTF | S.Bajwa vs Lidia | 5–0 | 100.00% |
| FTF | S.Bajwa vs Clive | 2–2 | 50.00% |
| FTF | S.Bajwa vs Heihachi | 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.