| DeanDingus vs King | 12–35 | 25.53% |
| DeanDingus vs Armor King | 14–32 | 30.43% |
| DeanDingus vs Steve | 19–15 | 55.88% |
| DeanDingus vs Reina | 17–17 | 50.00% |
| DeanDingus vs Bryan | 8–25 | 24.24% |
| DeanDingus vs Jun | 4–20 | 16.67% |
| DeanDingus vs Jin | 9–14 | 39.13% |
| DeanDingus vs Law | 6–16 | 27.27% |
| DeanDingus vs Hwoarang | 5–17 | 22.73% |
| DeanDingus vs Heihachi | 11–11 | 50.00% |
| DeanDingus vs Lili | 2–18 | 10.00% |
| DeanDingus vs Azucena | 9–11 | 45.00% |
| DeanDingus vs Eddy | 1–19 | 5.00% |
| DeanDingus vs Yoshimitsu | 7–12 | 36.84% |
| DeanDingus vs Asuka | 7–11 | 38.89% |
| DeanDingus vs Miary Zo | 4–14 | 22.22% |
| DeanDingus vs Dragunov | 5–12 | 29.41% |
| DeanDingus vs Kazuya | 5–11 | 31.25% |
| DeanDingus vs Victor | 7–9 | 43.75% |
| DeanDingus vs Fahkumram | 4–12 | 25.00% |
| DeanDingus vs Xiaoyu | 8–7 | 53.33% |
| DeanDingus vs Clive | 2–13 | 13.33% |
| DeanDingus vs Jack-8 | 1–9 | 10.00% |
| DeanDingus vs Lars | 5–5 | 50.00% |
| DeanDingus vs Alisa | 3–7 | 30.00% |
| DeanDingus vs Nina | 4–6 | 40.00% |
| DeanDingus vs Claudio | 5–4 | 55.56% |
| DeanDingus vs Lee | 0–9 | 0.00% |
| DeanDingus vs Leroy | 4–4 | 50.00% |
| DeanDingus vs Leo | 4–3 | 57.14% |
| DeanDingus vs Anna | 3–4 | 42.86% |
| DeanDingus vs Paul | 2–4 | 33.33% |
| DeanDingus vs Devil Jin | 2–4 | 33.33% |
| DeanDingus vs Kuma | 0–6 | 0.00% |
| DeanDingus vs Lidia | 2–4 | 33.33% |
| DeanDingus vs Zafina | 1–4 | 20.00% |
| DeanDingus vs Feng | 0–4 | 0.00% |
| DeanDingus vs Raven | 2–1 | 66.67% |
| DeanDingus vs Shaheen | 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.