| Leighton vs King | 32–38 | 45.71% |
| Leighton vs Jin | 38–29 | 56.72% |
| Leighton vs Kazuya | 23–32 | 41.82% |
| Leighton vs Paul | 14–28 | 33.33% |
| Leighton vs Armor King | 14–27 | 34.15% |
| Leighton vs Law | 15–25 | 37.50% |
| Leighton vs Steve | 17–20 | 45.95% |
| Leighton vs Dragunov | 20–17 | 54.05% |
| Leighton vs Hwoarang | 12–23 | 34.29% |
| Leighton vs Lili | 12–20 | 37.50% |
| Leighton vs Lee | 11–16 | 40.74% |
| Leighton vs Reina | 11–16 | 40.74% |
| Leighton vs Heihachi | 11–16 | 40.74% |
| Leighton vs Leroy | 5–19 | 20.83% |
| Leighton vs Fahkumram | 14–8 | 63.64% |
| Leighton vs Bryan | 8–13 | 38.10% |
| Leighton vs Yoshimitsu | 7–13 | 35.00% |
| Leighton vs Asuka | 9–10 | 47.37% |
| Leighton vs Zafina | 9–10 | 47.37% |
| Leighton vs Eddy | 3–14 | 17.65% |
| Leighton vs Devil Jin | 9–7 | 56.25% |
| Leighton vs Alisa | 2–14 | 12.50% |
| Leighton vs Jun | 11–5 | 68.75% |
| Leighton vs Nina | 3–11 | 21.43% |
| Leighton vs Victor | 2–12 | 14.29% |
| Leighton vs Miary Zo | 6–8 | 42.86% |
| Leighton vs Feng | 1–12 | 7.69% |
| Leighton vs Clive | 3–10 | 23.08% |
| Leighton vs Shaheen | 5–7 | 41.67% |
| Leighton vs Claudio | 3–8 | 27.27% |
| Leighton vs Azucena | 2–9 | 18.18% |
| Leighton vs Lidia | 4–7 | 36.36% |
| Leighton vs Lars | 1–9 | 10.00% |
| Leighton vs Raven | 1–9 | 10.00% |
| Leighton vs Kuma | 6–2 | 75.00% |
| Leighton vs Jack-8 | 4–3 | 57.14% |
| Leighton vs Anna | 3–3 | 50.00% |
| Leighton vs Leo | 0–3 | 0.00% |
| Leighton vs Xiaoyu | 1–1 | 50.00% |
| Leighton vs Panda | 1–1 | 50.00% |
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.