| lespa vs Jin | 40–46 | 46.51% |
| lespa vs King | 33–49 | 40.24% |
| lespa vs Kazuya | 42–32 | 56.76% |
| lespa vs Steve | 35–29 | 54.69% |
| lespa vs Bryan | 26–27 | 49.06% |
| lespa vs Eddy | 21–22 | 48.84% |
| lespa vs Clive | 17–22 | 43.59% |
| lespa vs Yoshimitsu | 20–17 | 54.05% |
| lespa vs Law | 12–16 | 42.86% |
| lespa vs Dragunov | 14–12 | 53.85% |
| lespa vs Paul | 9–15 | 37.50% |
| lespa vs Lili | 10–14 | 41.67% |
| lespa vs Heihachi | 7–17 | 29.17% |
| lespa vs Devil Jin | 8–14 | 36.36% |
| lespa vs Hwoarang | 9–12 | 42.86% |
| lespa vs Reina | 9–12 | 42.86% |
| lespa vs Jack-8 | 9–7 | 56.25% |
| lespa vs Lars | 5–11 | 31.25% |
| lespa vs Jun | 6–8 | 42.86% |
| lespa vs Victor | 6–8 | 42.86% |
| lespa vs Lee | 5–7 | 41.67% |
| lespa vs Asuka | 4–7 | 36.36% |
| lespa vs Claudio | 5–6 | 45.45% |
| lespa vs Azucena | 2–9 | 18.18% |
| lespa vs Armor King | 5–6 | 45.45% |
| lespa vs Feng | 1–9 | 10.00% |
| lespa vs Nina | 1–9 | 10.00% |
| lespa vs Leroy | 5–5 | 50.00% |
| lespa vs Leo | 4–5 | 44.44% |
| lespa vs Alisa | 4–4 | 50.00% |
| lespa vs Lidia | 4–3 | 57.14% |
| lespa vs Xiaoyu | 3–2 | 60.00% |
| lespa vs Panda | 2–3 | 40.00% |
| lespa vs Zafina | 1–4 | 20.00% |
| lespa vs Fahkumram | 2–2 | 50.00% |
| lespa vs Raven | 2–1 | 66.67% |
| lespa vs Kuma | 1–1 | 50.00% |
| lespa vs Anna | 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.