| Groupm vs King | 49–37 | 56.98% |
| Groupm vs Kazuya | 31–42 | 42.47% |
| Groupm vs Jin | 27–36–1 | 42.86% |
| Groupm vs Bryan | 25–36 | 40.98% |
| Groupm vs Dragunov | 28–32 | 46.67% |
| Groupm vs Law | 35–22 | 61.40% |
| Groupm vs Devil Jin | 19–21 | 47.50% |
| Groupm vs Nina | 22–17 | 56.41% |
| Groupm vs Paul | 18–16 | 52.94% |
| Groupm vs Hwoarang | 15–16 | 48.39% |
| Groupm vs Steve | 17–14 | 54.84% |
| Groupm vs Reina | 14–12 | 53.85% |
| Groupm vs Heihachi | 10–16 | 38.46% |
| Groupm vs Eddy | 13–12 | 52.00% |
| Groupm vs Victor | 13–9 | 59.09% |
| Groupm vs Azucena | 8–13 | 38.10% |
| Groupm vs Clive | 10–11 | 47.62% |
| Groupm vs Jack-8 | 7–12 | 36.84% |
| Groupm vs Jun | 7–12 | 36.84% |
| Groupm vs Lars | 7–10 | 41.18% |
| Groupm vs Anna | 5–12 | 29.41% |
| Groupm vs Yoshimitsu | 4–11 | 26.67% |
| Groupm vs Shaheen | 7–6 | 53.85% |
| Groupm vs Xiaoyu | 3–9 | 25.00% |
| Groupm vs Lili | 9–3 | 75.00% |
| Groupm vs Lee | 5–6 | 45.45% |
| Groupm vs Leo | 0–10 | 0.00% |
| Groupm vs Claudio | 7–3 | 70.00% |
| Groupm vs Alisa | 5–3 | 62.50% |
| Groupm vs Kuma | 2–6 | 25.00% |
| Groupm vs Asuka | 3–3 | 50.00% |
| Groupm vs Zafina | 4–2 | 66.67% |
| Groupm vs Feng | 1–4 | 20.00% |
| Groupm vs Leroy | 4–1 | 80.00% |
| Groupm vs Raven | 1–2 | 33.33% |
| Groupm vs Lidia | 1–2 | 33.33% |
| Groupm vs Panda | 0–2 | 0.00% |
| Groupm vs Fahkumram | 0–1 | 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.