| Saiga vs Jin | 43–44 | 49.43% |
| Saiga vs Clive | 42–38 | 52.50% |
| Saiga vs Dragunov | 29–31 | 48.33% |
| Saiga vs Kazuya | 26–31 | 45.61% |
| Saiga vs King | 28–13 | 68.29% |
| Saiga vs Steve | 22–17 | 56.41% |
| Saiga vs Reina | 19–13 | 59.38% |
| Saiga vs Law | 17–14 | 54.84% |
| Saiga vs Yoshimitsu | 8–22 | 26.67% |
| Saiga vs Hwoarang | 15–14 | 51.72% |
| Saiga vs Bryan | 9–18 | 33.33% |
| Saiga vs Lili | 11–14 | 44.00% |
| Saiga vs Claudio | 14–9 | 60.87% |
| Saiga vs Victor | 8–13 | 38.10% |
| Saiga vs Heihachi | 6–15 | 28.57% |
| Saiga vs Devil Jin | 7–13 | 35.00% |
| Saiga vs Azucena | 11–8 | 57.89% |
| Saiga vs Xiaoyu | 8–10 | 44.44% |
| Saiga vs Paul | 11–6 | 64.71% |
| Saiga vs Leo | 7–9 | 43.75% |
| Saiga vs Jack-8 | 11–3 | 78.57% |
| Saiga vs Feng | 8–6 | 57.14% |
| Saiga vs Jun | 6–7 | 46.15% |
| Saiga vs Eddy | 5–8 | 38.46% |
| Saiga vs Alisa | 3–8 | 27.27% |
| Saiga vs Asuka | 3–7 | 30.00% |
| Saiga vs Lars | 4–6 | 40.00% |
| Saiga vs Shaheen | 3–7 | 30.00% |
| Saiga vs Leroy | 4–6 | 40.00% |
| Saiga vs Lee | 4–5 | 44.44% |
| Saiga vs Lidia | 5–4 | 55.56% |
| Saiga vs Kuma | 3–2 | 60.00% |
| Saiga vs Armor King | 4–1 | 80.00% |
| Saiga vs Nina | 0–4 | 0.00% |
| Saiga vs Panda | 0–2 | 0.00% |
| Saiga vs Zafina | 0–2 | 0.00% |
| Saiga vs Raven | 0–2 | 0.00% |
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.