| Slap vs King | 19–25 | 43.18% |
| Slap vs Clive | 22–22 | 50.00% |
| Slap vs Jin | 20–16 | 55.56% |
| Slap vs Hwoarang | 15–17 | 46.88% |
| Slap vs Bryan | 21–10 | 67.74% |
| Slap vs Kazuya | 15–16 | 48.39% |
| Slap vs Heihachi | 17–13 | 56.67% |
| Slap vs Reina | 15–14 | 51.72% |
| Slap vs Steve | 14–14 | 50.00% |
| Slap vs Eddy | 17–7 | 70.83% |
| Slap vs Paul | 12–11 | 52.17% |
| Slap vs Dragunov | 13–10 | 56.52% |
| Slap vs Asuka | 15–7 | 68.18% |
| Slap vs Lili | 5–13 | 27.78% |
| Slap vs Devil Jin | 8–9 | 47.06% |
| Slap vs Lee | 7–10 | 41.18% |
| Slap vs Jun | 14–3 | 82.35% |
| Slap vs Alisa | 11–4 | 73.33% |
| Slap vs Law | 4–10 | 28.57% |
| Slap vs Armor King | 8–6 | 57.14% |
| Slap vs Victor | 5–8 | 38.46% |
| Slap vs Feng | 8–3 | 72.73% |
| Slap vs Lars | 7–4 | 63.64% |
| Slap vs Nina | 6–5 | 54.55% |
| Slap vs Leroy | 5–6 | 45.45% |
| Slap vs Azucena | 3–7 | 30.00% |
| Slap vs Yoshimitsu | 4–4 | 50.00% |
| Slap vs Lidia | 6–2 | 75.00% |
| Slap vs Raven | 4–3 | 57.14% |
| Slap vs Jack-8 | 4–2 | 66.67% |
| Slap vs Shaheen | 4–2 | 66.67% |
| Slap vs Anna | 3–3 | 50.00% |
| Slap vs Fahkumram | 2–4 | 33.33% |
| Slap vs Claudio | 0–4 | 0.00% |
| Slap vs Kuma | 2–1 | 66.67% |
| Slap vs Zafina | 1–2 | 33.33% |
| Slap vs Leo | 2–0 | 100.00% |
| Slap vs Xiaoyu | 1–0 | 100.00% |
| Slap 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.