| OLD MAN vs Kazuya | 144–114 | 55.81% |
| OLD MAN vs Jin | 132–87 | 60.27% |
| OLD MAN vs Bryan | 91–71 | 56.17% |
| OLD MAN vs Reina | 88–72 | 55.00% |
| OLD MAN vs King | 92–65 | 58.60% |
| OLD MAN vs Steve | 95–53–1 | 64.19% |
| OLD MAN vs Law | 97–49 | 66.44% |
| OLD MAN vs Eddy | 69–59 | 53.91% |
| OLD MAN vs Hwoarang | 72–53 | 57.60% |
| OLD MAN vs Heihachi | 64–55 | 53.78% |
| OLD MAN vs Yoshimitsu | 62–45 | 57.94% |
| OLD MAN vs Lili | 57–43 | 57.00% |
| OLD MAN vs Dragunov | 54–43 | 55.67% |
| OLD MAN vs Paul | 52–38 | 57.78% |
| OLD MAN vs Lidia | 42–46 | 47.73% |
| OLD MAN vs Devil Jin | 46–36 | 56.10% |
| OLD MAN vs Nina | 41–35 | 53.95% |
| OLD MAN vs Asuka | 46–27 | 63.01% |
| OLD MAN vs Jun | 43–30 | 58.90% |
| OLD MAN vs Lee | 35–37 | 48.61% |
| OLD MAN vs Lars | 27–33 | 45.00% |
| OLD MAN vs Fahkumram | 32–24 | 57.14% |
| OLD MAN vs Azucena | 23–29 | 44.23% |
| OLD MAN vs Clive | 31–18 | 63.27% |
| OLD MAN vs Victor | 26–19 | 57.78% |
| OLD MAN vs Feng | 22–22 | 50.00% |
| OLD MAN vs Raven | 25–19 | 56.82% |
| OLD MAN vs Alisa | 24–19 | 55.81% |
| OLD MAN vs Leroy | 22–20 | 52.38% |
| OLD MAN vs Armor King | 21–19 | 52.50% |
| OLD MAN vs Xiaoyu | 25–14 | 64.10% |
| OLD MAN vs Claudio | 20–19 | 51.28% |
| OLD MAN vs Jack-8 | 24–14 | 63.16% |
| OLD MAN vs Miary Zo | 10–19 | 34.48% |
| OLD MAN vs Kuma | 10–17 | 37.04% |
| OLD MAN vs Anna | 15–11 | 57.69% |
| OLD MAN vs Zafina | 8–10 | 44.44% |
| OLD MAN vs Leo | 10–7 | 58.82% |
| OLD MAN vs Shaheen | 9–6 | 60.00% |
| OLD MAN vs Panda | 7–3 | 70.00% |
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.