| Saif vs Kazuya | 57–35 | 61.96% |
| Saif vs King | 42–35 | 54.55% |
| Saif vs Bryan | 35–33 | 51.47% |
| Saif vs Paul | 24–38 | 38.71% |
| Saif vs Jin | 37–21 | 63.79% |
| Saif vs Dragunov | 29–18 | 61.70% |
| Saif vs Heihachi | 24–21 | 53.33% |
| Saif vs Hwoarang | 14–21 | 40.00% |
| Saif vs Law | 14–19 | 42.42% |
| Saif vs Steve | 11–19 | 36.67% |
| Saif vs Asuka | 13–13 | 50.00% |
| Saif vs Feng | 8–16 | 33.33% |
| Saif vs Reina | 12–10 | 54.55% |
| Saif vs Yoshimitsu | 14–7 | 66.67% |
| Saif vs Devil Jin | 13–7 | 65.00% |
| Saif vs Alisa | 7–9 | 43.75% |
| Saif vs Eddy | 11–4 | 73.33% |
| Saif vs Lars | 8–6 | 57.14% |
| Saif vs Jun | 8–6 | 57.14% |
| Saif vs Lili | 7–6 | 53.85% |
| Saif vs Lee | 4–9 | 30.77% |
| Saif vs Anna | 7–6 | 53.85% |
| Saif vs Victor | 5–7 | 41.67% |
| Saif vs Azucena | 9–2 | 81.82% |
| Saif vs Armor King | 6–5 | 54.55% |
| Saif vs Claudio | 3–4 | 42.86% |
| Saif vs Nina | 3–4 | 42.86% |
| Saif vs Fahkumram | 4–3 | 57.14% |
| Saif vs Xiaoyu | 2–4 | 33.33% |
| Saif vs Leroy | 3–3 | 50.00% |
| Saif vs Lidia | 1–4 | 20.00% |
| Saif vs Shaheen | 3–1 | 75.00% |
| Saif vs Kuma | 2–1 | 66.67% |
| Saif vs Panda | 1–2 | 33.33% |
| Saif vs Zafina | 0–3 | 0.00% |
| Saif vs Raven | 3–0 | 100.00% |
| Saif vs Clive | 1–2 | 33.33% |
| Saif vs Jack-8 | 0–2 | 0.00% |
| Saif vs Leo | 1–1 | 50.00% |
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.