| Mikcapp vs Kazuya | 204–139 | 59.48% |
| Mikcapp vs Jin | 153–121 | 55.84% |
| Mikcapp vs Bryan | 158–114 | 58.09% |
| Mikcapp vs Reina | 124–89 | 58.22% |
| Mikcapp vs King | 112–85 | 56.85% |
| Mikcapp vs Hwoarang | 84–73 | 53.50% |
| Mikcapp vs Dragunov | 80–70 | 53.33% |
| Mikcapp vs Law | 71–62–1 | 53.38% |
| Mikcapp vs Steve | 72–49 | 59.50% |
| Mikcapp vs Lee | 70–50 | 58.33% |
| Mikcapp vs Lili | 64–55 | 53.78% |
| Mikcapp vs Devil Jin | 64–52 | 55.17% |
| Mikcapp vs Paul | 56–58 | 49.12% |
| Mikcapp vs Yoshimitsu | 42–55 | 43.30% |
| Mikcapp vs Asuka | 49–39 | 55.68% |
| Mikcapp vs Feng | 56–31 | 64.37% |
| Mikcapp vs Leroy | 43–40 | 51.81% |
| Mikcapp vs Leo | 51–30 | 62.96% |
| Mikcapp vs Victor | 51–29 | 63.75% |
| Mikcapp vs Jun | 41–35 | 53.95% |
| Mikcapp vs Eddy | 49–22 | 69.01% |
| Mikcapp vs Nina | 35–34 | 50.72% |
| Mikcapp vs Lars | 37–25 | 59.68% |
| Mikcapp vs Azucena | 32–29 | 52.46% |
| Mikcapp vs Raven | 27–25 | 51.92% |
| Mikcapp vs Alisa | 33–18 | 64.71% |
| Mikcapp vs Claudio | 34–16 | 68.00% |
| Mikcapp vs Armor King | 35–15 | 70.00% |
| Mikcapp vs Xiaoyu | 24–22 | 52.17% |
| Mikcapp vs Fahkumram | 28–14 | 66.67% |
| Mikcapp vs Lidia | 19–17 | 52.78% |
| Mikcapp vs Kuma | 18–15 | 54.55% |
| Mikcapp vs Jack-8 | 20–12 | 62.50% |
| Mikcapp vs Zafina | 13–8 | 61.90% |
| Mikcapp vs Heihachi | 12–9 | 57.14% |
| Mikcapp vs Panda | 9–7 | 56.25% |
| Mikcapp vs Shaheen | 5–8 | 38.46% |
| Mikcapp vs Miary Zo | 5–2 | 71.43% |
| Mikcapp vs Anna | 5–1 | 83.33% |
| Mikcapp vs Clive | 2–3 | 40.00% |
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.