| DuffleBagBoy vs Heihachi | 22–15 | 59.46% |
| DuffleBagBoy vs Bryan | 19–14 | 57.58% |
| DuffleBagBoy vs Kazuya | 19–14 | 57.58% |
| DuffleBagBoy vs Reina | 14–17 | 45.16% |
| DuffleBagBoy vs Jin | 21–6 | 77.78% |
| DuffleBagBoy vs Eddy | 19–5 | 79.17% |
| DuffleBagBoy vs King | 14–8 | 63.64% |
| DuffleBagBoy vs Lili | 12–8 | 60.00% |
| DuffleBagBoy vs Lee | 14–6 | 70.00% |
| DuffleBagBoy vs Clive | 13–6 | 68.42% |
| DuffleBagBoy vs Paul | 7–11 | 38.89% |
| DuffleBagBoy vs Steve | 12–5 | 70.59% |
| DuffleBagBoy vs Jun | 10–7 | 58.82% |
| DuffleBagBoy vs Hwoarang | 12–4 | 75.00% |
| DuffleBagBoy vs Asuka | 9–4 | 69.23% |
| DuffleBagBoy vs Alisa | 8–5 | 61.54% |
| DuffleBagBoy vs Yoshimitsu | 7–5 | 58.33% |
| DuffleBagBoy vs Lars | 5–7 | 41.67% |
| DuffleBagBoy vs Jack-8 | 8–2 | 80.00% |
| DuffleBagBoy vs Leo | 4–6 | 40.00% |
| DuffleBagBoy vs Victor | 5–5 | 50.00% |
| DuffleBagBoy vs Dragunov | 8–1 | 88.89% |
| DuffleBagBoy vs Panda | 5–3 | 62.50% |
| DuffleBagBoy vs Azucena | 7–1 | 87.50% |
| DuffleBagBoy vs Law | 6–1 | 85.71% |
| DuffleBagBoy vs Xiaoyu | 3–4 | 42.86% |
| DuffleBagBoy vs Feng | 4–3 | 57.14% |
| DuffleBagBoy vs Raven | 3–4 | 42.86% |
| DuffleBagBoy vs Lidia | 3–4 | 42.86% |
| DuffleBagBoy vs Claudio | 1–5 | 16.67% |
| DuffleBagBoy vs Kuma | 3–2 | 60.00% |
| DuffleBagBoy vs Leroy | 1–3 | 25.00% |
| DuffleBagBoy vs Devil Jin | 0–3 | 0.00% |
| DuffleBagBoy vs Zafina | 1–2 | 33.33% |
| DuffleBagBoy vs Shaheen | 1–1 | 50.00% |
| DuffleBagBoy vs Nina | 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.