| ILoveSpamHeHe vs Law | 23–3 | 88.46% |
| ILoveSpamHeHe vs King | 19–7 | 73.08% |
| ILoveSpamHeHe vs Kazuya | 11–3 | 78.57% |
| ILoveSpamHeHe vs Heihachi | 8–5 | 61.54% |
| ILoveSpamHeHe vs Azucena | 8–4 | 66.67% |
| ILoveSpamHeHe vs Yoshimitsu | 10–1 | 90.91% |
| ILoveSpamHeHe vs Hwoarang | 6–4 | 60.00% |
| ILoveSpamHeHe vs Armor King | 4–6 | 40.00% |
| ILoveSpamHeHe vs Dragunov | 7–2 | 77.78% |
| ILoveSpamHeHe vs Jun | 7–1 | 87.50% |
| ILoveSpamHeHe vs Paul | 6–1 | 85.71% |
| ILoveSpamHeHe vs Lili | 7–0 | 100.00% |
| ILoveSpamHeHe vs Alisa | 5–2 | 71.43% |
| ILoveSpamHeHe vs Kuma | 3–3 | 50.00% |
| ILoveSpamHeHe vs Jin | 5–0 | 100.00% |
| ILoveSpamHeHe vs Jack-8 | 4–1 | 80.00% |
| ILoveSpamHeHe vs Devil Jin | 5–0 | 100.00% |
| ILoveSpamHeHe vs Feng | 5–0 | 100.00% |
| ILoveSpamHeHe vs Lidia | 4–1 | 80.00% |
| ILoveSpamHeHe vs Asuka | 3–1 | 75.00% |
| ILoveSpamHeHe vs Eddy | 4–0 | 100.00% |
| ILoveSpamHeHe vs Steve | 3–0 | 100.00% |
| ILoveSpamHeHe vs Nina | 1–2 | 33.33% |
| ILoveSpamHeHe vs Reina | 2–1 | 66.67% |
| ILoveSpamHeHe vs Anna | 1–2 | 33.33% |
| ILoveSpamHeHe vs Xiaoyu | 2–0 | 100.00% |
| ILoveSpamHeHe vs Lars | 2–0 | 100.00% |
| ILoveSpamHeHe vs Leroy | 2–0 | 100.00% |
| ILoveSpamHeHe vs Clive | 1–1 | 50.00% |
| ILoveSpamHeHe vs Fahkumram | 1–1 | 50.00% |
| ILoveSpamHeHe vs Bryan | 1–0 | 100.00% |
| ILoveSpamHeHe vs Leo | 1–0 | 100.00% |
| ILoveSpamHeHe vs Panda | 1–0 | 100.00% |
| ILoveSpamHeHe vs Victor | 1–0 | 100.00% |
| ILoveSpamHeHe vs Miary Zo | 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.