| S2mle100lesh vs Jin | 17–43 | 28.33% |
| S2mle100lesh vs Armor King | 23–33 | 41.07% |
| S2mle100lesh vs King | 12–22 | 35.29% |
| S2mle100lesh vs Steve | 13–20 | 39.39% |
| S2mle100lesh vs Law | 15–17 | 46.88% |
| S2mle100lesh vs Kazuya | 3–21 | 12.50% |
| S2mle100lesh vs Dragunov | 8–16 | 33.33% |
| S2mle100lesh vs Hwoarang | 7–16 | 30.43% |
| S2mle100lesh vs Heihachi | 5–14 | 26.32% |
| S2mle100lesh vs Fahkumram | 8–9 | 47.06% |
| S2mle100lesh vs Bryan | 4–12 | 25.00% |
| S2mle100lesh vs Azucena | 6–10 | 37.50% |
| S2mle100lesh vs Yoshimitsu | 8–7 | 53.33% |
| S2mle100lesh vs Xiaoyu | 8–6 | 57.14% |
| S2mle100lesh vs Victor | 2–12 | 14.29% |
| S2mle100lesh vs Devil Jin | 7–6 | 53.85% |
| S2mle100lesh vs Lili | 8–5 | 61.54% |
| S2mle100lesh vs Eddy | 6–7 | 46.15% |
| S2mle100lesh vs Lidia | 4–9 | 30.77% |
| S2mle100lesh vs Anna | 5–7 | 41.67% |
| S2mle100lesh vs Asuka | 3–6 | 33.33% |
| S2mle100lesh vs Alisa | 4–4 | 50.00% |
| S2mle100lesh vs Lee | 4–4 | 50.00% |
| S2mle100lesh vs Jun | 4–4 | 50.00% |
| S2mle100lesh vs Reina | 2–6 | 25.00% |
| S2mle100lesh vs Nina | 2–3 | 40.00% |
| S2mle100lesh vs Zafina | 2–3 | 40.00% |
| S2mle100lesh vs Leroy | 3–2 | 60.00% |
| S2mle100lesh vs Clive | 2–3 | 40.00% |
| S2mle100lesh vs Claudio | 0–4 | 0.00% |
| S2mle100lesh vs Paul | 1–2 | 33.33% |
| S2mle100lesh vs Jack-8 | 0–3 | 0.00% |
| S2mle100lesh vs Lars | 1–2 | 33.33% |
| S2mle100lesh vs Miary Zo | 2–1 | 66.67% |
| S2mle100lesh vs Leo | 0–2 | 0.00% |
| S2mle100lesh vs Shaheen | 0–2 | 0.00% |
| S2mle100lesh vs Raven | 1–1 | 50.00% |
| S2mle100lesh vs Kuma | 0–1 | 0.00% |
| S2mle100lesh vs Panda | 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.