| donn vs Armor King | 36–22 | 62.07% |
| donn vs Kazuya | 36–18 | 66.67% |
| donn vs Bryan | 33–19 | 63.46% |
| donn vs Miary Zo | 31–17 | 64.58% |
| donn vs Dragunov | 24–13 | 64.86% |
| donn vs Hwoarang | 19–11 | 63.33% |
| donn vs Steve | 19–10 | 65.52% |
| donn vs Paul | 18–8 | 69.23% |
| donn vs Jin | 13–13 | 50.00% |
| donn vs Claudio | 12–14 | 46.15% |
| donn vs King | 19–5 | 79.17% |
| donn vs Asuka | 18–5 | 78.26% |
| donn vs Lars | 13–9 | 59.09% |
| donn vs Fahkumram | 17–5 | 77.27% |
| donn vs Law | 7–13 | 35.00% |
| donn vs Jack-8 | 13–5 | 72.22% |
| donn vs Yoshimitsu | 8–9 | 47.06% |
| donn vs Jun | 14–3 | 82.35% |
| donn vs Heihachi | 11–6 | 64.71% |
| donn vs Nina | 12–4 | 75.00% |
| donn vs Reina | 11–4 | 73.33% |
| donn vs Victor | 7–8 | 46.67% |
| donn vs Zafina | 6–8 | 42.86% |
| donn vs Xiaoyu | 10–3 | 76.92% |
| donn vs Feng | 6–7 | 46.15% |
| donn vs Lidia | 9–4 | 69.23% |
| donn vs Alisa | 8–4 | 66.67% |
| donn vs Lili | 6–4 | 60.00% |
| donn vs Lee | 7–3 | 70.00% |
| donn vs Devil Jin | 5–4 | 55.56% |
| donn vs Anna | 6–3 | 66.67% |
| donn vs Leroy | 7–1 | 87.50% |
| donn vs Clive | 3–5 | 37.50% |
| donn vs Kuma | 4–3 | 57.14% |
| donn vs Panda | 6–1 | 85.71% |
| donn vs Raven | 5–2 | 71.43% |
| donn vs Eddy | 6–0 | 100.00% |
| donn vs Azucena | 3–2 | 60.00% |
| donn vs Shaheen | 3–1 | 75.00% |
| donn vs Leo | 0–3 | 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.