| SsjDuncan vs Jin | 87–85 | 50.58% |
| SsjDuncan vs Kazuya | 43–55 | 43.88% |
| SsjDuncan vs King | 36–46 | 43.90% |
| SsjDuncan vs Dragunov | 38–42 | 47.50% |
| SsjDuncan vs Reina | 35–40 | 46.67% |
| SsjDuncan vs Bryan | 33–41 | 44.59% |
| SsjDuncan vs Steve | 33–37 | 47.14% |
| SsjDuncan vs Hwoarang | 30–35 | 46.15% |
| SsjDuncan vs Jun | 23–34 | 40.35% |
| SsjDuncan vs Paul | 25–30 | 45.45% |
| SsjDuncan vs Heihachi | 19–31 | 38.00% |
| SsjDuncan vs Clive | 22–27 | 44.90% |
| SsjDuncan vs Lili | 17–31 | 35.42% |
| SsjDuncan vs Armor King | 22–25 | 46.81% |
| SsjDuncan vs Feng | 16–30 | 34.78% |
| SsjDuncan vs Yoshimitsu | 15–30 | 33.33% |
| SsjDuncan vs Law | 18–23 | 43.90% |
| SsjDuncan vs Devil Jin | 20–17 | 54.05% |
| SsjDuncan vs Lee | 13–23 | 36.11% |
| SsjDuncan vs Nina | 23–11 | 67.65% |
| SsjDuncan vs Claudio | 12–20 | 37.50% |
| SsjDuncan vs Raven | 11–20 | 35.48% |
| SsjDuncan vs Azucena | 19–11 | 63.33% |
| SsjDuncan vs Eddy | 16–14 | 53.33% |
| SsjDuncan vs Leo | 12–15 | 44.44% |
| SsjDuncan vs Lars | 11–15 | 42.31% |
| SsjDuncan vs Victor | 11–15 | 42.31% |
| SsjDuncan vs Zafina | 9–16 | 36.00% |
| SsjDuncan vs Asuka | 9–15 | 37.50% |
| SsjDuncan vs Fahkumram | 7–17 | 29.17% |
| SsjDuncan vs Lidia | 6–17 | 26.09% |
| SsjDuncan vs Leroy | 7–14 | 33.33% |
| SsjDuncan vs Anna | 7–14 | 33.33% |
| SsjDuncan vs Alisa | 9–8 | 52.94% |
| SsjDuncan vs Jack-8 | 5–11 | 31.25% |
| SsjDuncan vs Xiaoyu | 1–13 | 7.14% |
| SsjDuncan vs Shaheen | 5–2 | 71.43% |
| SsjDuncan vs Miary Zo | 0–5 | 0.00% |
| SsjDuncan vs Panda | 0–2 | 0.00% |
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.