| M1K3 vs King | 35–36 | 49.30% |
| M1K3 vs Kazuya | 30–32 | 48.39% |
| M1K3 vs Heihachi | 32–30 | 51.61% |
| M1K3 vs Jin | 27–34 | 44.26% |
| M1K3 vs Steve | 28–27 | 50.91% |
| M1K3 vs Reina | 27–22 | 55.10% |
| M1K3 vs Hwoarang | 13–32 | 28.89% |
| M1K3 vs Armor King | 24–20 | 54.55% |
| M1K3 vs Law | 19–22 | 46.34% |
| M1K3 vs Dragunov | 19–19 | 50.00% |
| M1K3 vs Yoshimitsu | 12–24 | 33.33% |
| M1K3 vs Bryan | 15–18 | 45.45% |
| M1K3 vs Lili | 10–23 | 30.30% |
| M1K3 vs Paul | 15–16 | 48.39% |
| M1K3 vs Victor | 16–13 | 55.17% |
| M1K3 vs Azucena | 16–11 | 59.26% |
| M1K3 vs Jun | 13–13 | 50.00% |
| M1K3 vs Eddy | 10–16 | 38.46% |
| M1K3 vs Clive | 17–9 | 65.38% |
| M1K3 vs Xiaoyu | 14–10 | 58.33% |
| M1K3 vs Lars | 12–12 | 50.00% |
| M1K3 vs Asuka | 6–16 | 27.27% |
| M1K3 vs Kuma | 8–14 | 36.36% |
| M1K3 vs Nina | 12–8 | 60.00% |
| M1K3 vs Lee | 8–12 | 40.00% |
| M1K3 vs Devil Jin | 1–16 | 5.88% |
| M1K3 vs Raven | 9–8 | 52.94% |
| M1K3 vs Feng | 7–9 | 43.75% |
| M1K3 vs Leroy | 12–4 | 75.00% |
| M1K3 vs Alisa | 6–9 | 40.00% |
| M1K3 vs Jack-8 | 7–6 | 53.85% |
| M1K3 vs Claudio | 3–7 | 30.00% |
| M1K3 vs Shaheen | 2–6 | 25.00% |
| M1K3 vs Leo | 5–2 | 71.43% |
| M1K3 vs Zafina | 0–4 | 0.00% |
| M1K3 vs Lidia | 2–2 | 50.00% |
| M1K3 vs Fahkumram | 3–1 | 75.00% |
| M1K3 vs Panda | 1–1 | 50.00% |
| M1K3 vs Anna | 2–0 | 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.