| sirmagno vs Jin | 58–103 | 36.02% |
| sirmagno vs King | 52–104 | 33.33% |
| sirmagno vs Steve | 58–65 | 47.15% |
| sirmagno vs Kazuya | 53–51 | 50.96% |
| sirmagno vs Law | 29–58 | 33.33% |
| sirmagno vs Reina | 31–47 | 39.74% |
| sirmagno vs Armor King | 36–42 | 46.15% |
| sirmagno vs Asuka | 29–40 | 42.03% |
| sirmagno vs Eddy | 23–41 | 35.94% |
| sirmagno vs Bryan | 20–40 | 33.33% |
| sirmagno vs Lili | 22–27 | 44.90% |
| sirmagno vs Azucena | 20–26 | 43.48% |
| sirmagno vs Hwoarang | 11–33 | 25.00% |
| sirmagno vs Miary Zo | 16–28 | 36.36% |
| sirmagno vs Dragunov | 16–24 | 40.00% |
| sirmagno vs Lars | 16–18 | 47.06% |
| sirmagno vs Lee | 16–17 | 48.48% |
| sirmagno vs Victor | 16–17 | 48.48% |
| sirmagno vs Heihachi | 5–28 | 15.15% |
| sirmagno vs Yoshimitsu | 16–15 | 51.61% |
| sirmagno vs Paul | 12–18 | 40.00% |
| sirmagno vs Xiaoyu | 17–12 | 58.62% |
| sirmagno vs Alisa | 11–17 | 39.29% |
| sirmagno vs Lidia | 9–13 | 40.91% |
| sirmagno vs Clive | 7–15 | 31.82% |
| sirmagno vs Jun | 4–16 | 20.00% |
| sirmagno vs Devil Jin | 7–10 | 41.18% |
| sirmagno vs Leo | 5–7 | 41.67% |
| sirmagno vs Leroy | 7–5 | 58.33% |
| sirmagno vs Nina | 2–8 | 20.00% |
| sirmagno vs Kuma | 5–4 | 55.56% |
| sirmagno vs Feng | 1–7 | 12.50% |
| sirmagno vs Claudio | 3–4 | 42.86% |
| sirmagno vs Anna | 2–5 | 28.57% |
| sirmagno vs Jack-8 | 1–5 | 16.67% |
| sirmagno vs Raven | 3–3 | 50.00% |
| sirmagno vs Fahkumram | 0–6 | 0.00% |
| sirmagno vs Panda | 1–4 | 20.00% |
| sirmagno vs Zafina | 2–1 | 66.67% |
| sirmagno vs Shaheen | 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.