| R.J. MacReady vs Reina | 27–21 | 56.25% |
| R.J. MacReady vs King | 25–18 | 58.14% |
| R.J. MacReady vs Bryan | 23–18 | 56.10% |
| R.J. MacReady vs Lili | 15–23 | 39.47% |
| R.J. MacReady vs Hwoarang | 21–15 | 58.33% |
| R.J. MacReady vs Jin | 19–17 | 52.78% |
| R.J. MacReady vs Kazuya | 15–21 | 41.67% |
| R.J. MacReady vs Asuka | 17–19 | 47.22% |
| R.J. MacReady vs Eddy | 14–21 | 40.00% |
| R.J. MacReady vs Clive | 17–18 | 48.57% |
| R.J. MacReady vs Dragunov | 13–21 | 38.24% |
| R.J. MacReady vs Steve | 15–12 | 55.56% |
| R.J. MacReady vs Azucena | 18–7 | 72.00% |
| R.J. MacReady vs Law | 6–14 | 30.00% |
| R.J. MacReady vs Paul | 8–10 | 44.44% |
| R.J. MacReady vs Yoshimitsu | 10–8 | 55.56% |
| R.J. MacReady vs Leo | 10–8 | 55.56% |
| R.J. MacReady vs Leroy | 8–10 | 44.44% |
| R.J. MacReady vs Victor | 9–8 | 52.94% |
| R.J. MacReady vs Devil Jin | 12–4 | 75.00% |
| R.J. MacReady vs Feng | 5–11 | 31.25% |
| R.J. MacReady vs Xiaoyu | 9–6 | 60.00% |
| R.J. MacReady vs Nina | 6–6 | 50.00% |
| R.J. MacReady vs Lee | 7–5 | 58.33% |
| R.J. MacReady vs Jun | 8–4 | 66.67% |
| R.J. MacReady vs Lars | 2–5 | 28.57% |
| R.J. MacReady vs Raven | 4–3 | 57.14% |
| R.J. MacReady vs Alisa | 4–1 | 80.00% |
| R.J. MacReady vs Claudio | 4–1 | 80.00% |
| R.J. MacReady vs Kuma | 2–2 | 50.00% |
| R.J. MacReady vs Jack-8 | 2–1 | 66.67% |
| R.J. MacReady vs Panda | 1–2 | 33.33% |
| R.J. MacReady vs Lidia | 2–1 | 66.67% |
| R.J. MacReady vs Shaheen | 0–2 | 0.00% |
| R.J. MacReady vs Heihachi | 0–2 | 0.00% |
| R.J. MacReady vs Zafina | 1–0 | 100.00% |
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.