| Simgamja vs Kazuya | 74–60 | 55.22% |
| Simgamja vs Jin | 65–55 | 54.17% |
| Simgamja vs Bryan | 66–52 | 55.93% |
| Simgamja vs Dragunov | 55–62 | 47.01% |
| Simgamja vs Reina | 56–49 | 53.33% |
| Simgamja vs Paul | 58–45 | 56.31% |
| Simgamja vs Armor King | 47–29 | 61.84% |
| Simgamja vs King | 42–31 | 57.53% |
| Simgamja vs Hwoarang | 37–36 | 50.68% |
| Simgamja vs Steve | 32–33 | 49.23% |
| Simgamja vs Devil Jin | 30–28 | 51.72% |
| Simgamja vs Jun | 34–24 | 58.62% |
| Simgamja vs Lili | 31–24 | 56.36% |
| Simgamja vs Victor | 35–17 | 67.31% |
| Simgamja vs Lee | 20–31 | 39.22% |
| Simgamja vs Asuka | 24–25 | 48.98% |
| Simgamja vs Heihachi | 27–21 | 56.25% |
| Simgamja vs Lars | 29–17 | 63.04% |
| Simgamja vs Lidia | 27–18 | 60.00% |
| Simgamja vs Feng | 17–22 | 43.59% |
| Simgamja vs Law | 21–17 | 55.26% |
| Simgamja vs Clive | 17–20 | 45.95% |
| Simgamja vs Fahkumram | 21–16 | 56.76% |
| Simgamja vs Yoshimitsu | 22–14 | 61.11% |
| Simgamja vs Jack-8 | 19–12 | 61.29% |
| Simgamja vs Azucena | 14–17 | 45.16% |
| Simgamja vs Xiaoyu | 8–19 | 29.63% |
| Simgamja vs Claudio | 14–11 | 56.00% |
| Simgamja vs Nina | 11–13 | 45.83% |
| Simgamja vs Anna | 6–15 | 28.57% |
| Simgamja vs Kuma | 9–10 | 47.37% |
| Simgamja vs Leo | 13–5 | 72.22% |
| Simgamja vs Leroy | 11–7 | 61.11% |
| Simgamja vs Miary Zo | 5–11 | 31.25% |
| Simgamja vs Eddy | 6–9 | 40.00% |
| Simgamja vs Shaheen | 6–8 | 42.86% |
| Simgamja vs Alisa | 6–5 | 54.55% |
| Simgamja vs Zafina | 3–7 | 30.00% |
| Simgamja vs Raven | 5–5 | 50.00% |
| Simgamja vs Panda | 1–3 | 25.00% |
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.