| Mclovin vs Jin | 166–125 | 57.04% |
| Mclovin vs Kazuya | 159–123 | 56.38% |
| Mclovin vs King | 114–99–1 | 53.52% |
| Mclovin vs Bryan | 98–108 | 47.57% |
| Mclovin vs Dragunov | 93–96 | 49.21% |
| Mclovin vs Reina | 100–86 | 53.76% |
| Mclovin vs Heihachi | 79–80 | 49.69% |
| Mclovin vs Paul | 73–68 | 51.77% |
| Mclovin vs Hwoarang | 50–87 | 36.50% |
| Mclovin vs Steve | 67–67 | 50.00% |
| Mclovin vs Lili | 61–72 | 45.86% |
| Mclovin vs Devil Jin | 54–68 | 44.26% |
| Mclovin vs Asuka | 57–55 | 50.89% |
| Mclovin vs Law | 42–67 | 38.53% |
| Mclovin vs Lars | 54–52 | 50.94% |
| Mclovin vs Victor | 43–53 | 44.79% |
| Mclovin vs Lee | 46–43 | 51.69% |
| Mclovin vs Leroy | 33–52 | 38.82% |
| Mclovin vs Fahkumram | 33–45 | 42.31% |
| Mclovin vs Xiaoyu | 32–43 | 42.67% |
| Mclovin vs Yoshimitsu | 38–36 | 51.35% |
| Mclovin vs Jun | 35–38 | 47.95% |
| Mclovin vs Clive | 39–32 | 54.93% |
| Mclovin vs Nina | 30–40 | 42.86% |
| Mclovin vs Eddy | 23–40 | 36.51% |
| Mclovin vs Alisa | 30–29 | 50.85% |
| Mclovin vs Leo | 21–37 | 36.21% |
| Mclovin vs Anna | 20–34 | 37.04% |
| Mclovin vs Feng | 18–32 | 36.00% |
| Mclovin vs Shaheen | 25–25 | 50.00% |
| Mclovin vs Azucena | 18–31 | 36.73% |
| Mclovin vs Claudio | 25–23 | 52.08% |
| Mclovin vs Armor King | 15–31 | 32.61% |
| Mclovin vs Lidia | 15–29 | 34.09% |
| Mclovin vs Raven | 20–23 | 46.51% |
| Mclovin vs Jack-8 | 21–16 | 56.76% |
| Mclovin vs Kuma | 11–17 | 39.29% |
| Mclovin vs Zafina | 5–18 | 21.74% |
| Mclovin vs Panda | 6–10 | 37.50% |
| Mclovin vs Miary Zo | 2–5 | 28.57% |
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.