| Skemp D.Sav vs Reina | 9–18 | 33.33% |
| Skemp D.Sav vs King | 5–11 | 31.25% |
| Skemp D.Sav vs Hwoarang | 8–4 | 66.67% |
| Skemp D.Sav vs Kazuya | 2–10 | 16.67% |
| Skemp D.Sav vs Steve | 2–9 | 18.18% |
| Skemp D.Sav vs Azucena | 8–3 | 72.73% |
| Skemp D.Sav vs Asuka | 4–6 | 40.00% |
| Skemp D.Sav vs Lars | 2–8 | 20.00% |
| Skemp D.Sav vs Heihachi | 3–7 | 30.00% |
| Skemp D.Sav vs Xiaoyu | 6–3 | 66.67% |
| Skemp D.Sav vs Dragunov | 4–5 | 44.44% |
| Skemp D.Sav vs Lili | 2–6 | 25.00% |
| Skemp D.Sav vs Eddy | 0–8 | 0.00% |
| Skemp D.Sav vs Raven | 3–4 | 42.86% |
| Skemp D.Sav vs Paul | 0–6 | 0.00% |
| Skemp D.Sav vs Law | 1–5 | 16.67% |
| Skemp D.Sav vs Lee | 2–4 | 33.33% |
| Skemp D.Sav vs Jun | 2–4 | 33.33% |
| Skemp D.Sav vs Victor | 2–4 | 33.33% |
| Skemp D.Sav vs Anna | 1–5 | 16.67% |
| Skemp D.Sav vs Leo | 1–4 | 20.00% |
| Skemp D.Sav vs Leroy | 1–4 | 20.00% |
| Skemp D.Sav vs Jin | 0–4 | 0.00% |
| Skemp D.Sav vs Alisa | 2–2 | 50.00% |
| Skemp D.Sav vs Zafina | 2–2 | 50.00% |
| Skemp D.Sav vs Yoshimitsu | 1–2 | 33.33% |
| Skemp D.Sav vs Clive | 0–3 | 0.00% |
| Skemp D.Sav vs Fahkumram | 1–2 | 33.33% |
| Skemp D.Sav vs Bryan | 0–2 | 0.00% |
| Skemp D.Sav vs Jack-8 | 1–1 | 50.00% |
| Skemp D.Sav vs Claudio | 0–2 | 0.00% |
| Skemp D.Sav vs Kuma | 1–1 | 50.00% |
| Skemp D.Sav vs Lidia | 2–0 | 100.00% |
| Skemp D.Sav vs Shaheen | 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.