| SIAM vs Kazuya | 31–25 | 55.36% |
| SIAM vs Jin | 29–23 | 55.77% |
| SIAM vs Heihachi | 17–27 | 38.64% |
| SIAM vs King | 21–22 | 48.84% |
| SIAM vs Bryan | 11–24 | 31.43% |
| SIAM vs Reina | 11–15 | 42.31% |
| SIAM vs Dragunov | 9–16 | 36.00% |
| SIAM vs Law | 12–10 | 54.55% |
| SIAM vs Clive | 11–11 | 50.00% |
| SIAM vs Jun | 7–14 | 33.33% |
| SIAM vs Eddy | 7–14 | 33.33% |
| SIAM vs Hwoarang | 7–12 | 36.84% |
| SIAM vs Devil Jin | 8–11 | 42.11% |
| SIAM vs Fahkumram | 12–7 | 63.16% |
| SIAM vs Yoshimitsu | 6–12 | 33.33% |
| SIAM vs Steve | 13–5 | 72.22% |
| SIAM vs Alisa | 11–7 | 61.11% |
| SIAM vs Paul | 10–6 | 62.50% |
| SIAM vs Lili | 7–9 | 43.75% |
| SIAM vs Anna | 8–8 | 50.00% |
| SIAM vs Lee | 11–4 | 73.33% |
| SIAM vs Nina | 6–7 | 46.15% |
| SIAM vs Claudio | 6–5 | 54.55% |
| SIAM vs Asuka | 7–2 | 77.78% |
| SIAM vs Lars | 8–1 | 88.89% |
| SIAM vs Victor | 5–4 | 55.56% |
| SIAM vs Xiaoyu | 5–3 | 62.50% |
| SIAM vs Azucena | 1–6 | 14.29% |
| SIAM vs Armor King | 1–6 | 14.29% |
| SIAM vs Feng | 4–2 | 66.67% |
| SIAM vs Shaheen | 3–3 | 50.00% |
| SIAM vs Zafina | 3–3 | 50.00% |
| SIAM vs Raven | 3–2 | 60.00% |
| SIAM vs Leo | 2–2 | 50.00% |
| SIAM vs Jack-8 | 0–3 | 0.00% |
| SIAM vs Lidia | 3–0 | 100.00% |
| SIAM vs Kuma | 0–1 | 0.00% |
| SIAM vs Leroy | 1–0 | 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.