| Mk LAW vs Jin | 193–124 | 60.88% |
| Mk LAW vs Kazuya | 186–105 | 63.92% |
| Mk LAW vs King | 115–116 | 49.78% |
| Mk LAW vs Dragunov | 102–98 | 51.00% |
| Mk LAW vs Yoshimitsu | 112–86 | 56.57% |
| Mk LAW vs Law | 115–82 | 58.38% |
| Mk LAW vs Bryan | 113–84 | 57.36% |
| Mk LAW vs Hwoarang | 100–89 | 52.91% |
| Mk LAW vs Victor | 96–76 | 55.81% |
| Mk LAW vs Eddy | 60–82 | 42.25% |
| Mk LAW vs Paul | 76–64 | 54.29% |
| Mk LAW vs Lee | 67–62 | 51.94% |
| Mk LAW vs Feng | 58–68 | 46.03% |
| Mk LAW vs Reina | 80–46 | 63.49% |
| Mk LAW vs Devil Jin | 68–57 | 54.40% |
| Mk LAW vs Lars | 64–59 | 52.03% |
| Mk LAW vs Steve | 66–55 | 54.55% |
| Mk LAW vs Alisa | 72–43 | 62.61% |
| Mk LAW vs Lili | 61–50 | 54.95% |
| Mk LAW vs Asuka | 50–44 | 53.19% |
| Mk LAW vs Jun | 56–36 | 60.87% |
| Mk LAW vs Claudio | 41–45 | 47.67% |
| Mk LAW vs Nina | 44–33 | 57.14% |
| Mk LAW vs Jack-8 | 39–28 | 58.21% |
| Mk LAW vs Raven | 20–42 | 32.26% |
| Mk LAW vs Leroy | 18–42 | 30.00% |
| Mk LAW vs Azucena | 42–18 | 70.00% |
| Mk LAW vs Shaheen | 22–36 | 37.93% |
| Mk LAW vs Xiaoyu | 35–22 | 61.40% |
| Mk LAW vs Leo | 34–20 | 62.96% |
| Mk LAW vs Kuma | 23–27 | 46.00% |
| Mk LAW vs Zafina | 20–24 | 45.45% |
| Mk LAW vs Lidia | 11–19 | 36.67% |
| Mk LAW vs Panda | 12–15 | 44.44% |
| Mk LAW vs Heihachi | 8–11 | 42.11% |
| Mk LAW vs Anna | 3–3 | 50.00% |
| Mk LAW vs Armor King | 1–2 | 33.33% |
| Mk LAW vs Miary Zo | 2–1 | 66.67% |
| Mk LAW vs Fahkumram | 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.