| Lefty2Smooth vs King | 29–18 | 61.70% |
| Lefty2Smooth vs Kazuya | 20–23 | 46.51% |
| Lefty2Smooth vs Jin | 16–23 | 41.03% |
| Lefty2Smooth vs Armor King | 22–17 | 56.41% |
| Lefty2Smooth vs Steve | 23–13 | 63.89% |
| Lefty2Smooth vs Dragunov | 11–14 | 44.00% |
| Lefty2Smooth vs Lars | 11–12 | 47.83% |
| Lefty2Smooth vs Azucena | 18–4 | 81.82% |
| Lefty2Smooth vs Law | 14–7 | 66.67% |
| Lefty2Smooth vs Reina | 15–6 | 71.43% |
| Lefty2Smooth vs Lili | 12–8 | 60.00% |
| Lefty2Smooth vs Victor | 17–2 | 89.47% |
| Lefty2Smooth vs Eddy | 15–4 | 78.95% |
| Lefty2Smooth vs Jun | 14–4 | 77.78% |
| Lefty2Smooth vs Lidia | 12–6 | 66.67% |
| Lefty2Smooth vs Hwoarang | 12–5 | 70.59% |
| Lefty2Smooth vs Leo | 12–5 | 70.59% |
| Lefty2Smooth vs Heihachi | 8–7 | 53.33% |
| Lefty2Smooth vs Yoshimitsu | 9–5 | 64.29% |
| Lefty2Smooth vs Lee | 10–4 | 71.43% |
| Lefty2Smooth vs Bryan | 7–6 | 53.85% |
| Lefty2Smooth vs Asuka | 9–4 | 69.23% |
| Lefty2Smooth vs Nina | 9–4 | 69.23% |
| Lefty2Smooth vs Raven | 7–6 | 53.85% |
| Lefty2Smooth vs Devil Jin | 7–4 | 63.64% |
| Lefty2Smooth vs Feng | 4–6 | 40.00% |
| Lefty2Smooth vs Alisa | 5–4 | 55.56% |
| Lefty2Smooth vs Claudio | 7–2 | 77.78% |
| Lefty2Smooth vs Shaheen | 6–3 | 66.67% |
| Lefty2Smooth vs Fahkumram | 5–4 | 55.56% |
| Lefty2Smooth vs Jack-8 | 6–1 | 85.71% |
| Lefty2Smooth vs Kuma | 2–5 | 28.57% |
| Lefty2Smooth vs Paul | 3–3 | 50.00% |
| Lefty2Smooth vs Zafina | 6–0 | 100.00% |
| Lefty2Smooth vs Leroy | 5–1 | 83.33% |
| Lefty2Smooth vs Anna | 3–3 | 50.00% |
| Lefty2Smooth vs Xiaoyu | 3–1 | 75.00% |
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.