| Pennytheft vs Hwoarang | 25–18 | 58.14% |
| Pennytheft vs Jin | 27–16 | 62.79% |
| Pennytheft vs Paul | 24–14–1 | 63.16% |
| Pennytheft vs Kazuya | 28–6 | 82.35% |
| Pennytheft vs King | 19–13 | 59.38% |
| Pennytheft vs Clive | 16–11 | 59.26% |
| Pennytheft vs Bryan | 16–10 | 61.54% |
| Pennytheft vs Dragunov | 17–9 | 65.38% |
| Pennytheft vs Law | 13–6 | 68.42% |
| Pennytheft vs Yoshimitsu | 12–7 | 63.16% |
| Pennytheft vs Lee | 11–8 | 57.89% |
| Pennytheft vs Armor King | 13–3 | 81.25% |
| Pennytheft vs Lili | 4–11 | 26.67% |
| Pennytheft vs Reina | 11–4 | 73.33% |
| Pennytheft vs Steve | 7–7 | 50.00% |
| Pennytheft vs Leroy | 9–5 | 64.29% |
| Pennytheft vs Victor | 6–8 | 42.86% |
| Pennytheft vs Zafina | 6–5 | 54.55% |
| Pennytheft vs Xiaoyu | 8–2 | 80.00% |
| Pennytheft vs Lars | 6–4 | 60.00% |
| Pennytheft vs Asuka | 7–2 | 77.78% |
| Pennytheft vs Feng | 5–3 | 62.50% |
| Pennytheft vs Azucena | 6–2 | 75.00% |
| Pennytheft vs Fahkumram | 5–3 | 62.50% |
| Pennytheft vs Jack-8 | 2–4 | 33.33% |
| Pennytheft vs Claudio | 3–2 | 60.00% |
| Pennytheft vs Nina | 3–2 | 60.00% |
| Pennytheft vs Raven | 1–4 | 20.00% |
| Pennytheft vs Eddy | 0–5 | 0.00% |
| Pennytheft vs Anna | 4–1 | 80.00% |
| Pennytheft vs Devil Jin | 4–0 | 100.00% |
| Pennytheft vs Leo | 0–4 | 0.00% |
| Pennytheft vs Heihachi | 2–2 | 50.00% |
| Pennytheft vs Alisa | 2–1 | 66.67% |
| Pennytheft vs Shaheen | 2–1 | 66.67% |
| Pennytheft vs Kuma | 2–1 | 66.67% |
| Pennytheft vs Panda | 1–2 | 33.33% |
| Pennytheft vs Lidia | 2–0 | 100.00% |
| Pennytheft vs Jun | 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.