| McLovin vs Jin | 33–22 | 60.00% |
| McLovin vs Steve | 21–20 | 51.22% |
| McLovin vs King | 8–24 | 25.00% |
| McLovin vs Law | 15–16 | 48.39% |
| McLovin vs Hwoarang | 15–15 | 50.00% |
| McLovin vs Miary Zo | 11–16 | 40.74% |
| McLovin vs Lili | 16–10 | 61.54% |
| McLovin vs Reina | 13–9 | 59.09% |
| McLovin vs Azucena | 14–8 | 63.64% |
| McLovin vs Eddy | 7–11 | 38.89% |
| McLovin vs Armor King | 8–9 | 47.06% |
| McLovin vs Dragunov | 7–8 | 46.67% |
| McLovin vs Victor | 8–7 | 53.33% |
| McLovin vs Heihachi | 7–7 | 50.00% |
| McLovin vs Fahkumram | 11–3 | 78.57% |
| McLovin vs Bryan | 8–5 | 61.54% |
| McLovin vs Asuka | 8–4 | 66.67% |
| McLovin vs Kazuya | 5–6 | 45.45% |
| McLovin vs Jun | 7–4 | 63.64% |
| McLovin vs Xiaoyu | 5–4 | 55.56% |
| McLovin vs Jack-8 | 4–4 | 50.00% |
| McLovin vs Anna | 4–4 | 50.00% |
| McLovin vs Alisa | 3–4 | 42.86% |
| McLovin vs Lee | 3–4 | 42.86% |
| McLovin vs Leroy | 6–1 | 85.71% |
| McLovin vs Yoshimitsu | 3–3 | 50.00% |
| McLovin vs Zafina | 4–2 | 66.67% |
| McLovin vs Clive | 2–4 | 33.33% |
| McLovin vs Devil Jin | 1–4 | 20.00% |
| McLovin vs Lars | 3–2 | 60.00% |
| McLovin vs Nina | 1–4 | 20.00% |
| McLovin vs Lidia | 2–3 | 40.00% |
| McLovin vs Paul | 2–2 | 50.00% |
| McLovin vs Feng | 1–2 | 33.33% |
| McLovin vs Kuma | 2–0 | 100.00% |
| McLovin vs Panda | 2–0 | 100.00% |
| McLovin vs Claudio | 0–1 | 0.00% |
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.