| sirmagno vs Jin | 46–89 | 34.07% |
| sirmagno vs King | 39–92 | 29.77% |
| sirmagno vs Steve | 48–52 | 48.00% |
| sirmagno vs Kazuya | 35–40 | 46.67% |
| sirmagno vs Law | 17–47 | 26.56% |
| sirmagno vs Armor King | 26–31 | 45.61% |
| sirmagno vs Eddy | 16–36 | 30.77% |
| sirmagno vs Reina | 20–28 | 41.67% |
| sirmagno vs Asuka | 17–25 | 40.48% |
| sirmagno vs Lili | 17–22 | 43.59% |
| sirmagno vs Bryan | 13–25 | 34.21% |
| sirmagno vs Miary Zo | 10–25 | 28.57% |
| sirmagno vs Lee | 16–15 | 51.61% |
| sirmagno vs Hwoarang | 7–20 | 25.93% |
| sirmagno vs Azucena | 15–12 | 55.56% |
| sirmagno vs Paul | 11–12 | 47.83% |
| sirmagno vs Victor | 11–12 | 47.83% |
| sirmagno vs Dragunov | 10–12 | 45.45% |
| sirmagno vs Heihachi | 2–20 | 9.09% |
| sirmagno vs Xiaoyu | 11–10 | 52.38% |
| sirmagno vs Clive | 7–14 | 33.33% |
| sirmagno vs Lars | 9–8 | 52.94% |
| sirmagno vs Alisa | 6–10 | 37.50% |
| sirmagno vs Devil Jin | 7–8 | 46.67% |
| sirmagno vs Yoshimitsu | 7–7 | 50.00% |
| sirmagno vs Jun | 3–10 | 23.08% |
| sirmagno vs Lidia | 7–5 | 58.33% |
| sirmagno vs Leo | 3–5 | 37.50% |
| sirmagno vs Claudio | 3–4 | 42.86% |
| sirmagno vs Nina | 1–6 | 14.29% |
| sirmagno vs Leroy | 5–2 | 71.43% |
| sirmagno vs Feng | 0–5 | 0.00% |
| sirmagno vs Kuma | 2–2 | 50.00% |
| sirmagno vs Anna | 2–2 | 50.00% |
| sirmagno vs Fahkumram | 0–4 | 0.00% |
| sirmagno vs Zafina | 2–1 | 66.67% |
| sirmagno vs Raven | 2–1 | 66.67% |
| sirmagno vs Shaheen | 0–2 | 0.00% |
| sirmagno vs Jack-8 | 0–1 | 0.00% |
| sirmagno vs Panda | 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.