| Tired Old Man vs Bryan | 120–142 | 45.80% |
| Tired Old Man vs Reina | 122–125 | 49.39% |
| Tired Old Man vs Kazuya | 107–137 | 43.85% |
| Tired Old Man vs Jin | 96–145 | 39.83% |
| Tired Old Man vs King | 100–106 | 48.54% |
| Tired Old Man vs Steve | 95–74 | 56.21% |
| Tired Old Man vs Hwoarang | 65–87 | 42.76% |
| Tired Old Man vs Dragunov | 72–79 | 47.68% |
| Tired Old Man vs Asuka | 69–78 | 46.94% |
| Tired Old Man vs Eddy | 53–67 | 44.17% |
| Tired Old Man vs Lili | 59–59 | 50.00% |
| Tired Old Man vs Paul | 53–63 | 45.69% |
| Tired Old Man vs Azucena | 40–75 | 34.78% |
| Tired Old Man vs Yoshimitsu | 52–59 | 46.85% |
| Tired Old Man vs Law | 30–66 | 31.25% |
| Tired Old Man vs Lee | 37–58 | 38.95% |
| Tired Old Man vs Devil Jin | 36–52 | 40.91% |
| Tired Old Man vs Lars | 38–45 | 45.78% |
| Tired Old Man vs Xiaoyu | 37–37 | 50.00% |
| Tired Old Man vs Victor | 32–40 | 44.44% |
| Tired Old Man vs Jun | 34–37 | 47.89% |
| Tired Old Man vs Nina | 29–35 | 45.31% |
| Tired Old Man vs Leo | 26–36 | 41.94% |
| Tired Old Man vs Alisa | 30–32 | 48.39% |
| Tired Old Man vs Leroy | 25–31 | 44.64% |
| Tired Old Man vs Feng | 22–23 | 48.89% |
| Tired Old Man vs Shaheen | 19–26 | 42.22% |
| Tired Old Man vs Raven | 15–25 | 37.50% |
| Tired Old Man vs Jack-8 | 13–20 | 39.39% |
| Tired Old Man vs Claudio | 17–14 | 54.84% |
| Tired Old Man vs Kuma | 7–15 | 31.82% |
| Tired Old Man vs Zafina | 7–14 | 33.33% |
| Tired Old Man vs Panda | 10–8 | 55.56% |
| Tired Old Man vs Lidia | 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.