| GGOOMCHI vs Dragunov | 37–36 | 50.68% |
| GGOOMCHI vs Lili | 37–27 | 57.81% |
| GGOOMCHI vs Kazuya | 34–25 | 57.63% |
| GGOOMCHI vs Reina | 25–33 | 43.10% |
| GGOOMCHI vs Jin | 27–27 | 50.00% |
| GGOOMCHI vs Bryan | 24–27 | 47.06% |
| GGOOMCHI vs Hwoarang | 27–23 | 54.00% |
| GGOOMCHI vs Victor | 18–25 | 41.86% |
| GGOOMCHI vs Paul | 14–28 | 33.33% |
| GGOOMCHI vs King | 17–20 | 45.95% |
| GGOOMCHI vs Claudio | 21–11 | 65.62% |
| GGOOMCHI vs Asuka | 12–18 | 40.00% |
| GGOOMCHI vs Lars | 13–15 | 46.43% |
| GGOOMCHI vs Jun | 11–15 | 42.31% |
| GGOOMCHI vs Steve | 10–13 | 43.48% |
| GGOOMCHI vs Eddy | 13–8 | 61.90% |
| GGOOMCHI vs Yoshimitsu | 7–13 | 35.00% |
| GGOOMCHI vs Xiaoyu | 9–11 | 45.00% |
| GGOOMCHI vs Devil Jin | 3–17 | 15.00% |
| GGOOMCHI vs Law | 6–12 | 33.33% |
| GGOOMCHI vs Azucena | 9–9 | 50.00% |
| GGOOMCHI vs Feng | 10–7 | 58.82% |
| GGOOMCHI vs Alisa | 9–7 | 56.25% |
| GGOOMCHI vs Nina | 8–8 | 50.00% |
| GGOOMCHI vs Jack-8 | 6–8 | 42.86% |
| GGOOMCHI vs Leroy | 8–6 | 57.14% |
| GGOOMCHI vs Leo | 9–4 | 69.23% |
| GGOOMCHI vs Lee | 3–7 | 30.00% |
| GGOOMCHI vs Raven | 2–5 | 28.57% |
| GGOOMCHI vs Lidia | 2–5 | 28.57% |
| GGOOMCHI vs Heihachi | 4–3 | 57.14% |
| GGOOMCHI vs Shaheen | 0–5 | 0.00% |
| GGOOMCHI vs Panda | 1–3 | 25.00% |
| GGOOMCHI vs Zafina | 0–4 | 0.00% |
| GGOOMCHI vs Kuma | 1–2 | 33.33% |
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.