| Shemar vs Reina | 35–26 | 57.38% |
| Shemar vs Jin | 19–17 | 52.78% |
| Shemar vs Kazuya | 15–18 | 45.45% |
| Shemar vs King | 12–16 | 42.86% |
| Shemar vs Hwoarang | 13–15 | 46.43% |
| Shemar vs Devil Jin | 13–13 | 50.00% |
| Shemar vs Lili | 13–13 | 50.00% |
| Shemar vs Yoshimitsu | 16–8 | 66.67% |
| Shemar vs Jun | 13–11 | 54.17% |
| Shemar vs Victor | 11–12 | 47.83% |
| Shemar vs Steve | 12–10 | 54.55% |
| Shemar vs Bryan | 10–9 | 52.63% |
| Shemar vs Lee | 7–12 | 36.84% |
| Shemar vs Azucena | 11–8 | 57.89% |
| Shemar vs Alisa | 5–13 | 27.78% |
| Shemar vs Law | 8–8 | 50.00% |
| Shemar vs Xiaoyu | 8–8 | 50.00% |
| Shemar vs Lars | 6–10 | 37.50% |
| Shemar vs Asuka | 5–10 | 33.33% |
| Shemar vs Eddy | 5–8 | 38.46% |
| Shemar vs Paul | 5–6 | 45.45% |
| Shemar vs Feng | 6–4 | 60.00% |
| Shemar vs Zafina | 3–7 | 30.00% |
| Shemar vs Leroy | 4–6 | 40.00% |
| Shemar vs Dragunov | 4–5 | 44.44% |
| Shemar vs Claudio | 3–5 | 37.50% |
| Shemar vs Lidia | 5–3 | 62.50% |
| Shemar vs Heihachi | 5–2 | 71.43% |
| Shemar vs Fahkumram | 6–1 | 85.71% |
| Shemar vs Nina | 1–5 | 16.67% |
| Shemar vs Leo | 2–3 | 40.00% |
| Shemar vs Kuma | 3–0 | 100.00% |
| Shemar vs Raven | 1–2 | 33.33% |
| Shemar vs Jack-8 | 0–2 | 0.00% |
| Shemar vs Panda | 0–2 | 0.00% |
| Shemar vs Clive | 1–0 | 100.00% |
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.