| Dooney vs King | 18–37 | 32.73% |
| Dooney vs Lidia | 29–26 | 52.73% |
| Dooney vs Jin | 21–28 | 42.86% |
| Dooney vs Azucena | 21–22 | 48.84% |
| Dooney vs Law | 21–21 | 50.00% |
| Dooney vs Hwoarang | 22–13 | 62.86% |
| Dooney vs Reina | 17–17 | 50.00% |
| Dooney vs Steve | 18–12 | 60.00% |
| Dooney vs Asuka | 11–15 | 42.31% |
| Dooney vs Heihachi | 11–13 | 45.83% |
| Dooney vs Victor | 11–11 | 50.00% |
| Dooney vs Lili | 7–14 | 33.33% |
| Dooney vs Eddy | 5–14 | 26.32% |
| Dooney vs Kazuya | 2–16 | 11.11% |
| Dooney vs Yoshimitsu | 8–9 | 47.06% |
| Dooney vs Alisa | 7–9 | 43.75% |
| Dooney vs Leroy | 11–5 | 68.75% |
| Dooney vs Jun | 6–10 | 37.50% |
| Dooney vs Xiaoyu | 9–5 | 64.29% |
| Dooney vs Feng | 8–5 | 61.54% |
| Dooney vs Dragunov | 3–9 | 25.00% |
| Dooney vs Nina | 6–5 | 54.55% |
| Dooney vs Lars | 2–8 | 20.00% |
| Dooney vs Shaheen | 4–6 | 40.00% |
| Dooney vs Clive | 4–5 | 44.44% |
| Dooney vs Leo | 4–4 | 50.00% |
| Dooney vs Raven | 4–4 | 50.00% |
| Dooney vs Bryan | 2–5 | 28.57% |
| Dooney vs Lee | 3–4 | 42.86% |
| Dooney vs Anna | 1–6 | 14.29% |
| Dooney vs Paul | 2–4 | 33.33% |
| Dooney vs Kuma | 2–4 | 33.33% |
| Dooney vs Zafina | 3–3 | 50.00% |
| Dooney vs Claudio | 3–2 | 60.00% |
| Dooney vs Fahkumram | 2–3 | 40.00% |
| Dooney vs Devil Jin | 2–0 | 100.00% |
| Dooney vs Jack-8 | 0–1 | 0.00% |
| Dooney vs Panda | 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.