| Miklo38 vs Hwoarang | 26–26 | 50.00% |
| Miklo38 vs Kazuya | 28–23 | 54.90% |
| Miklo38 vs Bryan | 21–27 | 43.75% |
| Miklo38 vs Jin | 25–22 | 53.19% |
| Miklo38 vs Dragunov | 16–20 | 44.44% |
| Miklo38 vs Law | 18–17 | 51.43% |
| Miklo38 vs Yoshimitsu | 16–19 | 45.71% |
| Miklo38 vs Eddy | 17–17 | 50.00% |
| Miklo38 vs King | 13–20 | 39.39% |
| Miklo38 vs Alisa | 8–15 | 34.78% |
| Miklo38 vs Devil Jin | 11–11 | 50.00% |
| Miklo38 vs Reina | 13–7 | 65.00% |
| Miklo38 vs Paul | 8–11 | 42.11% |
| Miklo38 vs Steve | 10–9 | 52.63% |
| Miklo38 vs Asuka | 7–11 | 38.89% |
| Miklo38 vs Lidia | 11–7 | 61.11% |
| Miklo38 vs Lars | 7–10 | 41.18% |
| Miklo38 vs Xiaoyu | 6–10 | 37.50% |
| Miklo38 vs Raven | 8–8 | 50.00% |
| Miklo38 vs Jun | 6–8 | 42.86% |
| Miklo38 vs Feng | 3–10 | 23.08% |
| Miklo38 vs Lili | 7–6 | 53.85% |
| Miklo38 vs Leroy | 7–5 | 58.33% |
| Miklo38 vs Azucena | 8–3 | 72.73% |
| Miklo38 vs Lee | 6–4 | 60.00% |
| Miklo38 vs Jack-8 | 5–4 | 55.56% |
| Miklo38 vs Nina | 5–4 | 55.56% |
| Miklo38 vs Shaheen | 6–2 | 75.00% |
| Miklo38 vs Victor | 4–4 | 50.00% |
| Miklo38 vs Claudio | 2–5 | 28.57% |
| Miklo38 vs Heihachi | 5–2 | 71.43% |
| Miklo38 vs Panda | 4–2 | 66.67% |
| Miklo38 vs Leo | 1–2 | 33.33% |
| Miklo38 vs Clive | 1–2 | 33.33% |
| Miklo38 vs Kuma | 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.