| McHartles vs Law | 27–17 | 61.36% |
| McHartles vs Jin | 21–22 | 48.84% |
| McHartles vs Reina | 12–14 | 46.15% |
| McHartles vs King | 17–7 | 70.83% |
| McHartles vs Kazuya | 19–4 | 82.61% |
| McHartles vs Steve | 16–6 | 72.73% |
| McHartles vs Heihachi | 6–10 | 37.50% |
| McHartles vs Asuka | 6–9 | 40.00% |
| McHartles vs Armor King | 9–6 | 60.00% |
| McHartles vs Bryan | 7–7 | 50.00% |
| McHartles vs Azucena | 3–11 | 21.43% |
| McHartles vs Hwoarang | 10–3 | 76.92% |
| McHartles vs Nina | 6–6 | 50.00% |
| McHartles vs Dragunov | 3–8 | 27.27% |
| McHartles vs Paul | 5–5 | 50.00% |
| McHartles vs Alisa | 5–5 | 50.00% |
| McHartles vs Eddy | 3–7 | 30.00% |
| McHartles vs Raven | 2–7 | 22.22% |
| McHartles vs Miary Zo | 3–6 | 33.33% |
| McHartles vs Xiaoyu | 3–5 | 37.50% |
| McHartles vs Feng | 4–4 | 50.00% |
| McHartles vs Lili | 6–2 | 75.00% |
| McHartles vs Lee | 2–6 | 25.00% |
| McHartles vs Leroy | 3–5 | 37.50% |
| McHartles vs Devil Jin | 4–2 | 66.67% |
| McHartles vs Leo | 4–1 | 80.00% |
| McHartles vs Lars | 3–2 | 60.00% |
| McHartles vs Claudio | 2–3 | 40.00% |
| McHartles vs Shaheen | 5–0 | 100.00% |
| McHartles vs Zafina | 2–3 | 40.00% |
| McHartles vs Jun | 3–2 | 60.00% |
| McHartles vs Clive | 3–2 | 60.00% |
| McHartles vs Fahkumram | 2–3 | 40.00% |
| McHartles vs Kuma | 0–4 | 0.00% |
| McHartles vs Victor | 2–1 | 66.67% |
| McHartles vs Yoshimitsu | 1–1 | 50.00% |
| McHartles vs Jack-8 | 2–0 | 100.00% |
| McHartles vs Panda | 2–0 | 100.00% |
| McHartles vs Lidia | 2–0 | 100.00% |
| McHartles vs Anna | 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.