| Silm-jiM48 vs King | 34–43 | 44.16% |
| Silm-jiM48 vs Jin | 34–37 | 47.89% |
| Silm-jiM48 vs Hwoarang | 33–32 | 50.77% |
| Silm-jiM48 vs Fahkumram | 27–34 | 44.26% |
| Silm-jiM48 vs Steve | 35–25 | 58.33% |
| Silm-jiM48 vs Kazuya | 29–29 | 50.00% |
| Silm-jiM48 vs Bryan | 24–33 | 42.11% |
| Silm-jiM48 vs Reina | 24–30 | 44.44% |
| Silm-jiM48 vs Law | 19–29 | 39.58% |
| Silm-jiM48 vs Dragunov | 16–32 | 33.33% |
| Silm-jiM48 vs Heihachi | 21–26 | 44.68% |
| Silm-jiM48 vs Paul | 20–25 | 44.44% |
| Silm-jiM48 vs Jun | 19–20 | 48.72% |
| Silm-jiM48 vs Eddy | 18–20 | 47.37% |
| Silm-jiM48 vs Azucena | 14–22 | 38.89% |
| Silm-jiM48 vs Asuka | 14–18 | 43.75% |
| Silm-jiM48 vs Alisa | 15–15 | 50.00% |
| Silm-jiM48 vs Lidia | 9–19 | 32.14% |
| Silm-jiM48 vs Anna | 11–13 | 45.83% |
| Silm-jiM48 vs Armor King | 11–13 | 45.83% |
| Silm-jiM48 vs Leroy | 7–16 | 30.43% |
| Silm-jiM48 vs Yoshimitsu | 9–13 | 40.91% |
| Silm-jiM48 vs Xiaoyu | 10–12 | 45.45% |
| Silm-jiM48 vs Lars | 11–11 | 50.00% |
| Silm-jiM48 vs Devil Jin | 7–13 | 35.00% |
| Silm-jiM48 vs Lili | 7–13 | 35.00% |
| Silm-jiM48 vs Victor | 9–9 | 50.00% |
| Silm-jiM48 vs Jack-8 | 6–8 | 42.86% |
| Silm-jiM48 vs Clive | 5–9 | 35.71% |
| Silm-jiM48 vs Nina | 6–7 | 46.15% |
| Silm-jiM48 vs Lee | 4–6 | 40.00% |
| Silm-jiM48 vs Kuma | 5–4 | 55.56% |
| Silm-jiM48 vs Shaheen | 4–4 | 50.00% |
| Silm-jiM48 vs Feng | 5–2 | 71.43% |
| Silm-jiM48 vs Leo | 3–4 | 42.86% |
| Silm-jiM48 vs Claudio | 1–4 | 20.00% |
| Silm-jiM48 vs Raven | 2–2 | 50.00% |
| Silm-jiM48 vs Panda | 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.