| Penny vs Lili | 20–8 | 71.43% |
| Penny vs Law | 18–8 | 69.23% |
| Penny vs Reina | 19–5 | 79.17% |
| Penny vs Kazuya | 14–8 | 63.64% |
| Penny vs Jin | 15–4 | 78.95% |
| Penny vs Steve | 11–8 | 57.89% |
| Penny vs Heihachi | 15–4 | 78.95% |
| Penny vs Hwoarang | 14–3 | 82.35% |
| Penny vs Yoshimitsu | 14–2 | 87.50% |
| Penny vs Bryan | 14–1 | 93.33% |
| Penny vs Xiaoyu | 10–3 | 76.92% |
| Penny vs Nina | 11–2 | 84.62% |
| Penny vs Armor King | 13–0 | 100.00% |
| Penny vs Jack-8 | 10–1 | 90.91% |
| Penny vs Lars | 11–0 | 100.00% |
| Penny vs Anna | 4–7 | 36.36% |
| Penny vs Devil Jin | 8–2 | 80.00% |
| Penny vs King | 7–2 | 77.78% |
| Penny vs Alisa | 4–5 | 44.44% |
| Penny vs Eddy | 8–1 | 88.89% |
| Penny vs Fahkumram | 6–3 | 66.67% |
| Penny vs Claudio | 8–0 | 100.00% |
| Penny vs Shaheen | 4–4 | 50.00% |
| Penny vs Raven | 6–2 | 75.00% |
| Penny vs Paul | 7–0 | 100.00% |
| Penny vs Asuka | 6–1 | 85.71% |
| Penny vs Dragunov | 6–0 | 100.00% |
| Penny vs Leroy | 4–2 | 66.67% |
| Penny vs Lidia | 6–0 | 100.00% |
| Penny vs Victor | 4–1 | 80.00% |
| Penny vs Feng | 4–0 | 100.00% |
| Penny vs Leo | 2–2 | 50.00% |
| Penny vs Kuma | 4–0 | 100.00% |
| Penny vs Jun | 3–1 | 75.00% |
| Penny vs Clive | 2–2 | 50.00% |
| Penny vs Zafina | 2–0 | 100.00% |
| Penny vs Azucena | 2–0 | 100.00% |
| Penny vs Lee | 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.