| 24c | GEMSKU vs Bryan | 26–16 | 61.90% |
| 24c | GEMSKU vs Fahkumram | 19–22 | 46.34% |
| 24c | GEMSKU vs Jin | 22–16 | 57.89% |
| 24c | GEMSKU vs Hwoarang | 11–19 | 36.67% |
| 24c | GEMSKU vs Law | 20–7 | 74.07% |
| 24c | GEMSKU vs Kazuya | 16–11 | 59.26% |
| 24c | GEMSKU vs Reina | 20–6 | 76.92% |
| 24c | GEMSKU vs King | 11–14 | 44.00% |
| 24c | GEMSKU vs Lili | 13–12 | 52.00% |
| 24c | GEMSKU vs Dragunov | 15–10 | 60.00% |
| 24c | GEMSKU vs Alisa | 15–2 | 88.24% |
| 24c | GEMSKU vs Jun | 7–10 | 41.18% |
| 24c | GEMSKU vs Clive | 9–8 | 52.94% |
| 24c | GEMSKU vs Yoshimitsu | 11–5 | 68.75% |
| 24c | GEMSKU vs Jack-8 | 12–4 | 75.00% |
| 24c | GEMSKU vs Eddy | 12–2 | 85.71% |
| 24c | GEMSKU vs Devil Jin | 7–6 | 53.85% |
| 24c | GEMSKU vs Heihachi | 5–8 | 38.46% |
| 24c | GEMSKU vs Paul | 5–7 | 41.67% |
| 24c | GEMSKU vs Asuka | 7–5 | 58.33% |
| 24c | GEMSKU vs Lars | 5–6 | 45.45% |
| 24c | GEMSKU vs Claudio | 6–5 | 54.55% |
| 24c | GEMSKU vs Lee | 8–3 | 72.73% |
| 24c | GEMSKU vs Leroy | 10–1 | 90.91% |
| 24c | GEMSKU vs Feng | 4–6 | 40.00% |
| 24c | GEMSKU vs Shaheen | 7–3 | 70.00% |
| 24c | GEMSKU vs Nina | 5–4 | 55.56% |
| 24c | GEMSKU vs Azucena | 7–2 | 77.78% |
| 24c | GEMSKU vs Anna | 5–4 | 55.56% |
| 24c | GEMSKU vs Xiaoyu | 8–0 | 100.00% |
| 24c | GEMSKU vs Zafina | 6–1 | 85.71% |
| 24c | GEMSKU vs Leo | 3–2 | 60.00% |
| 24c | GEMSKU vs Victor | 2–3 | 40.00% |
| 24c | GEMSKU vs Steve | 2–2 | 50.00% |
| 24c | GEMSKU vs Panda | 2–0 | 100.00% |
| 24c | GEMSKU vs Raven | 0–2 | 0.00% |
| 24c | GEMSKU vs Lidia | 0–2 | 0.00% |
| 24c | GEMSKU vs Kuma | 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.