| Old Gandpa vs Kazuya | 89–54 | 62.24% |
| Old Gandpa vs Reina | 79–46 | 63.20% |
| Old Gandpa vs Jin | 56–51 | 52.34% |
| Old Gandpa vs Bryan | 33–51 | 39.29% |
| Old Gandpa vs Heihachi | 44–30–1 | 59.46% |
| Old Gandpa vs King | 30–36 | 45.45% |
| Old Gandpa vs Dragunov | 33–28 | 54.10% |
| Old Gandpa vs Steve | 26–33 | 44.07% |
| Old Gandpa vs Yoshimitsu | 30–26 | 53.57% |
| Old Gandpa vs Lili | 33–23 | 58.93% |
| Old Gandpa vs Hwoarang | 17–29 | 36.96% |
| Old Gandpa vs Azucena | 29–16 | 64.44% |
| Old Gandpa vs Lee | 21–22 | 48.84% |
| Old Gandpa vs Clive | 25–16 | 60.98% |
| Old Gandpa vs Devil Jin | 26–14 | 65.00% |
| Old Gandpa vs Jun | 19–19 | 50.00% |
| Old Gandpa vs Asuka | 22–13 | 62.86% |
| Old Gandpa vs Victor | 17–16 | 51.52% |
| Old Gandpa vs Paul | 18–14 | 56.25% |
| Old Gandpa vs Feng | 22–10 | 68.75% |
| Old Gandpa vs Law | 11–17 | 39.29% |
| Old Gandpa vs Anna | 13–15 | 46.43% |
| Old Gandpa vs Lidia | 16–11 | 59.26% |
| Old Gandpa vs Xiaoyu | 16–9 | 64.00% |
| Old Gandpa vs Nina | 14–11 | 56.00% |
| Old Gandpa vs Alisa | 9–14 | 39.13% |
| Old Gandpa vs Claudio | 13–10 | 56.52% |
| Old Gandpa vs Leo | 7–15 | 31.82% |
| Old Gandpa vs Lars | 6–15 | 28.57% |
| Old Gandpa vs Eddy | 8–13 | 38.10% |
| Old Gandpa vs Fahkumram | 8–8 | 50.00% |
| Old Gandpa vs Leroy | 5–7 | 41.67% |
| Old Gandpa vs Shaheen | 4–7 | 36.36% |
| Old Gandpa vs Raven | 3–8 | 27.27% |
| Old Gandpa vs Jack-8 | 4–6 | 40.00% |
| Old Gandpa vs Zafina | 2–5 | 28.57% |
| Old Gandpa vs Panda | 1–4 | 20.00% |
| Old Gandpa vs Kuma | 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.