| Mec immature vs Jin | 54–138 | 28.12% |
| Mec immature vs Kazuya | 63–110 | 36.42% |
| Mec immature vs Reina | 55–109 | 33.54% |
| Mec immature vs Law | 55–104 | 34.59% |
| Mec immature vs Hwoarang | 48–105 | 31.37% |
| Mec immature vs Steve | 56–83 | 40.29% |
| Mec immature vs King | 45–93 | 32.61% |
| Mec immature vs Lili | 44–66 | 40.00% |
| Mec immature vs Dragunov | 40–60 | 40.00% |
| Mec immature vs Yoshimitsu | 44–44 | 50.00% |
| Mec immature vs Asuka | 34–52 | 39.53% |
| Mec immature vs Bryan | 28–57 | 32.94% |
| Mec immature vs Jun | 25–46–1 | 35.21% |
| Mec immature vs Azucena | 33–38 | 46.48% |
| Mec immature vs Paul | 26–40 | 39.39% |
| Mec immature vs Devil Jin | 24–40 | 37.50% |
| Mec immature vs Eddy | 19–38 | 33.33% |
| Mec immature vs Feng | 18–38 | 32.14% |
| Mec immature vs Lars | 22–34 | 39.29% |
| Mec immature vs Xiaoyu | 26–24 | 52.00% |
| Mec immature vs Nina | 14–35 | 28.57% |
| Mec immature vs Victor | 10–38 | 20.83% |
| Mec immature vs Clive | 16–28 | 36.36% |
| Mec immature vs Lee | 14–28 | 33.33% |
| Mec immature vs Alisa | 18–22 | 45.00% |
| Mec immature vs Claudio | 14–25 | 35.90% |
| Mec immature vs Jack-8 | 19–17 | 52.78% |
| Mec immature vs Lidia | 12–20 | 37.50% |
| Mec immature vs Heihachi | 12–19 | 38.71% |
| Mec immature vs Leo | 8–20 | 28.57% |
| Mec immature vs Leroy | 8–10 | 44.44% |
| Mec immature vs Zafina | 6–11 | 35.29% |
| Mec immature vs Raven | 5–12 | 29.41% |
| Mec immature vs Shaheen | 7–3 | 70.00% |
| Mec immature vs Kuma | 2–6 | 25.00% |
| Mec immature vs Panda | 2–6 | 25.00% |
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.