| Deacon vs Kazuya | 18–34 | 34.62% |
| Deacon vs Jin | 20–31 | 39.22% |
| Deacon vs Law | 17–28 | 37.78% |
| Deacon vs King | 16–29 | 35.56% |
| Deacon vs Reina | 17–28 | 37.78% |
| Deacon vs Clive | 12–24 | 33.33% |
| Deacon vs Hwoarang | 17–16 | 51.52% |
| Deacon vs Steve | 10–19 | 34.48% |
| Deacon vs Bryan | 8–20 | 28.57% |
| Deacon vs Lili | 10–17 | 37.04% |
| Deacon vs Dragunov | 9–18 | 33.33% |
| Deacon vs Paul | 11–15 | 42.31% |
| Deacon vs Heihachi | 5–18 | 21.74% |
| Deacon vs Azucena | 9–13 | 40.91% |
| Deacon vs Jun | 12–7 | 63.16% |
| Deacon vs Lars | 4–13 | 23.53% |
| Deacon vs Nina | 7–10 | 41.18% |
| Deacon vs Leroy | 7–10 | 41.18% |
| Deacon vs Victor | 2–15 | 11.76% |
| Deacon vs Eddy | 5–11 | 31.25% |
| Deacon vs Lee | 7–7 | 50.00% |
| Deacon vs Asuka | 6–6 | 50.00% |
| Deacon vs Devil Jin | 4–8 | 33.33% |
| Deacon vs Xiaoyu | 2–9 | 18.18% |
| Deacon vs Alisa | 3–8 | 27.27% |
| Deacon vs Raven | 4–7 | 36.36% |
| Deacon vs Feng | 2–6 | 25.00% |
| Deacon vs Yoshimitsu | 3–4 | 42.86% |
| Deacon vs Jack-8 | 3–4 | 42.86% |
| Deacon vs Lidia | 2–4 | 33.33% |
| Deacon vs Shaheen | 1–4 | 20.00% |
| Deacon vs Claudio | 1–3 | 25.00% |
| Deacon vs Leo | 3–0 | 100.00% |
| Deacon vs Zafina | 0–3 | 0.00% |
| Deacon vs Kuma | 1–1 | 50.00% |
| Deacon vs Panda | 0–2 | 0.00% |
| Deacon vs Fahkumram | 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.