| DullSharp vs Jin | 18–32 | 36.00% |
| DullSharp vs King | 18–30–1 | 37.50% |
| DullSharp vs Armor King | 11–22 | 33.33% |
| DullSharp vs Kazuya | 18–14 | 56.25% |
| DullSharp vs Asuka | 10–18 | 35.71% |
| DullSharp vs Reina | 13–15 | 46.43% |
| DullSharp vs Dragunov | 4–22 | 15.38% |
| DullSharp vs Fahkumram | 10–16 | 38.46% |
| DullSharp vs Hwoarang | 6–17 | 26.09% |
| DullSharp vs Lili | 3–18 | 14.29% |
| DullSharp vs Law | 4–16 | 20.00% |
| DullSharp vs Azucena | 10–10 | 50.00% |
| DullSharp vs Devil Jin | 5–14 | 26.32% |
| DullSharp vs Steve | 5–13 | 27.78% |
| DullSharp vs Jun | 7–9 | 43.75% |
| DullSharp vs Clive | 4–10 | 28.57% |
| DullSharp vs Eddy | 6–6 | 50.00% |
| DullSharp vs Yoshimitsu | 3–8 | 27.27% |
| DullSharp vs Victor | 8–3 | 72.73% |
| DullSharp vs Heihachi | 3–8 | 27.27% |
| DullSharp vs Miary Zo | 3–8 | 27.27% |
| DullSharp vs Anna | 4–6 | 40.00% |
| DullSharp vs Lee | 2–6 | 25.00% |
| DullSharp vs Paul | 2–5 | 28.57% |
| DullSharp vs Xiaoyu | 1–6 | 14.29% |
| DullSharp vs Bryan | 2–5 | 28.57% |
| DullSharp vs Lars | 1–6 | 14.29% |
| DullSharp vs Zafina | 3–4 | 42.86% |
| DullSharp vs Shaheen | 1–5 | 16.67% |
| DullSharp vs Panda | 2–4 | 33.33% |
| DullSharp vs Alisa | 1–4 | 20.00% |
| DullSharp vs Claudio | 1–4 | 20.00% |
| DullSharp vs Jack-8 | 0–4 | 0.00% |
| DullSharp vs Leo | 0–4 | 0.00% |
| DullSharp vs Feng | 1–2 | 33.33% |
| DullSharp vs Nina | 0–3 | 0.00% |
| DullSharp vs Leroy | 1–2 | 33.33% |
| DullSharp vs Kuma | 0–2 | 0.00% |
| DullSharp vs Raven | 0–2 | 0.00% |
| DullSharp vs Lidia | 0–1 | 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.