| Grubbs30 vs King | 19–22 | 46.34% |
| Grubbs30 vs Jin | 26–8 | 76.47% |
| Grubbs30 vs Steve | 15–18 | 45.45% |
| Grubbs30 vs Reina | 10–19 | 34.48% |
| Grubbs30 vs Bryan | 18–10 | 64.29% |
| Grubbs30 vs Kazuya | 14–13 | 51.85% |
| Grubbs30 vs Paul | 17–8 | 68.00% |
| Grubbs30 vs Lili | 11–12 | 47.83% |
| Grubbs30 vs Dragunov | 9–13 | 40.91% |
| Grubbs30 vs Asuka | 9–11 | 45.00% |
| Grubbs30 vs Azucena | 7–13 | 35.00% |
| Grubbs30 vs Hwoarang | 11–7 | 61.11% |
| Grubbs30 vs Lars | 7–9 | 43.75% |
| Grubbs30 vs Yoshimitsu | 9–5 | 64.29% |
| Grubbs30 vs Nina | 5–9 | 35.71% |
| Grubbs30 vs Xiaoyu | 3–10 | 23.08% |
| Grubbs30 vs Leo | 5–8 | 38.46% |
| Grubbs30 vs Victor | 6–7 | 46.15% |
| Grubbs30 vs Jun | 3–9 | 25.00% |
| Grubbs30 vs Heihachi | 7–4 | 63.64% |
| Grubbs30 vs Law | 6–4 | 60.00% |
| Grubbs30 vs Kuma | 4–6 | 40.00% |
| Grubbs30 vs Feng | 4–5 | 44.44% |
| Grubbs30 vs Eddy | 5–4 | 55.56% |
| Grubbs30 vs Jack-8 | 8–0 | 100.00% |
| Grubbs30 vs Devil Jin | 4–4 | 50.00% |
| Grubbs30 vs Lee | 5–3 | 62.50% |
| Grubbs30 vs Zafina | 3–4 | 42.86% |
| Grubbs30 vs Claudio | 2–4 | 33.33% |
| Grubbs30 vs Panda | 1–4 | 20.00% |
| Grubbs30 vs Leroy | 3–2 | 60.00% |
| Grubbs30 vs Raven | 3–2 | 60.00% |
| Grubbs30 vs Lidia | 4–1 | 80.00% |
| Grubbs30 vs Alisa | 1–2 | 33.33% |
| Grubbs30 vs Shaheen | 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.