| BigD1kTargetME vs King | 20–16 | 55.56% |
| BigD1kTargetME vs Kazuya | 9–13 | 40.91% |
| BigD1kTargetME vs Jin | 8–10 | 44.44% |
| BigD1kTargetME vs Reina | 8–10 | 44.44% |
| BigD1kTargetME vs Dragunov | 7–9 | 43.75% |
| BigD1kTargetME vs Heihachi | 8–7 | 53.33% |
| BigD1kTargetME vs Hwoarang | 3–10 | 23.08% |
| BigD1kTargetME vs Jun | 9–3 | 75.00% |
| BigD1kTargetME vs Asuka | 9–2 | 81.82% |
| BigD1kTargetME vs Lili | 8–3 | 72.73% |
| BigD1kTargetME vs Fahkumram | 3–8 | 27.27% |
| BigD1kTargetME vs Clive | 7–3 | 70.00% |
| BigD1kTargetME vs Feng | 8–1 | 88.89% |
| BigD1kTargetME vs Paul | 6–2 | 75.00% |
| BigD1kTargetME vs Bryan | 7–1 | 87.50% |
| BigD1kTargetME vs Azucena | 3–5 | 37.50% |
| BigD1kTargetME vs Lidia | 6–2 | 75.00% |
| BigD1kTargetME vs Law | 3–4 | 42.86% |
| BigD1kTargetME vs Yoshimitsu | 0–7 | 0.00% |
| BigD1kTargetME vs Steve | 4–2 | 66.67% |
| BigD1kTargetME vs Nina | 3–3 | 50.00% |
| BigD1kTargetME vs Jack-8 | 2–3 | 40.00% |
| BigD1kTargetME vs Lars | 2–3 | 40.00% |
| BigD1kTargetME vs Devil Jin | 3–0 | 100.00% |
| BigD1kTargetME vs Leroy | 1–2 | 33.33% |
| BigD1kTargetME vs Anna | 1–2 | 33.33% |
| BigD1kTargetME vs Xiaoyu | 2–0 | 100.00% |
| BigD1kTargetME vs Alisa | 2–0 | 100.00% |
| BigD1kTargetME vs Lee | 2–0 | 100.00% |
| BigD1kTargetME vs Zafina | 0–2 | 0.00% |
| BigD1kTargetME vs Raven | 0–2 | 0.00% |
| BigD1kTargetME vs Armor King | 2–0 | 100.00% |
| BigD1kTargetME vs Panda | 1–0 | 100.00% |
| BigD1kTargetME vs Eddy | 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.