| MoldDaonly1 vs Armor King | 29–23 | 55.77% |
| MoldDaonly1 vs King | 27–16 | 62.79% |
| MoldDaonly1 vs Steve | 24–8 | 75.00% |
| MoldDaonly1 vs Kazuya | 14–12 | 53.85% |
| MoldDaonly1 vs Reina | 20–6 | 76.92% |
| MoldDaonly1 vs Jin | 18–7 | 72.00% |
| MoldDaonly1 vs Azucena | 17–8 | 68.00% |
| MoldDaonly1 vs Heihachi | 15–8 | 65.22% |
| MoldDaonly1 vs Fahkumram | 13–8 | 61.90% |
| MoldDaonly1 vs Hwoarang | 13–6 | 68.42% |
| MoldDaonly1 vs Xiaoyu | 13–6 | 68.42% |
| MoldDaonly1 vs Jun | 13–4 | 76.47% |
| MoldDaonly1 vs Clive | 10–7 | 58.82% |
| MoldDaonly1 vs Law | 11–5 | 68.75% |
| MoldDaonly1 vs Lili | 12–4 | 75.00% |
| MoldDaonly1 vs Victor | 12–4 | 75.00% |
| MoldDaonly1 vs Eddy | 7–9 | 43.75% |
| MoldDaonly1 vs Asuka | 9–6 | 60.00% |
| MoldDaonly1 vs Bryan | 7–3 | 70.00% |
| MoldDaonly1 vs Leroy | 8–2 | 80.00% |
| MoldDaonly1 vs Raven | 5–5 | 50.00% |
| MoldDaonly1 vs Yoshimitsu | 5–4 | 55.56% |
| MoldDaonly1 vs Dragunov | 7–2 | 77.78% |
| MoldDaonly1 vs Lee | 4–5 | 44.44% |
| MoldDaonly1 vs Feng | 3–5 | 37.50% |
| MoldDaonly1 vs Devil Jin | 4–3 | 57.14% |
| MoldDaonly1 vs Lidia | 3–4 | 42.86% |
| MoldDaonly1 vs Paul | 4–2 | 66.67% |
| MoldDaonly1 vs Jack-8 | 5–1 | 83.33% |
| MoldDaonly1 vs Leo | 4–2 | 66.67% |
| MoldDaonly1 vs Nina | 5–1 | 83.33% |
| MoldDaonly1 vs Miary Zo | 4–2 | 66.67% |
| MoldDaonly1 vs Lars | 2–3 | 40.00% |
| MoldDaonly1 vs Anna | 5–0 | 100.00% |
| MoldDaonly1 vs Shaheen | 2–0 | 100.00% |
| MoldDaonly1 vs Kuma | 2–0 | 100.00% |
| MoldDaonly1 vs Panda | 0–2 | 0.00% |
| MoldDaonly1 vs Claudio | 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.