| SprogSlurmp vs King | 27–22 | 55.10% |
| SprogSlurmp vs Steve | 16–12 | 57.14% |
| SprogSlurmp vs Jin | 10–14 | 41.67% |
| SprogSlurmp vs Kazuya | 14–10 | 58.33% |
| SprogSlurmp vs Jun | 15–9 | 62.50% |
| SprogSlurmp vs Reina | 13–7 | 65.00% |
| SprogSlurmp vs Hwoarang | 10–8 | 55.56% |
| SprogSlurmp vs Devil Jin | 10–6 | 62.50% |
| SprogSlurmp vs Yoshimitsu | 9–6 | 60.00% |
| SprogSlurmp vs Asuka | 9–6 | 60.00% |
| SprogSlurmp vs Lili | 6–8 | 42.86% |
| SprogSlurmp vs Azucena | 6–8 | 42.86% |
| SprogSlurmp vs Lidia | 9–5 | 64.29% |
| SprogSlurmp vs Heihachi | 4–10 | 28.57% |
| SprogSlurmp vs Dragunov | 2–11 | 15.38% |
| SprogSlurmp vs Law | 8–4 | 66.67% |
| SprogSlurmp vs Lars | 5–7 | 41.67% |
| SprogSlurmp vs Feng | 4–7 | 36.36% |
| SprogSlurmp vs Leo | 7–4 | 63.64% |
| SprogSlurmp vs Clive | 3–7 | 30.00% |
| SprogSlurmp vs Anna | 8–2 | 80.00% |
| SprogSlurmp vs Fahkumram | 2–8 | 20.00% |
| SprogSlurmp vs Xiaoyu | 5–4 | 55.56% |
| SprogSlurmp vs Bryan | 5–4 | 55.56% |
| SprogSlurmp vs Nina | 2–7 | 22.22% |
| SprogSlurmp vs Armor King | 2–7 | 22.22% |
| SprogSlurmp vs Lee | 4–4 | 50.00% |
| SprogSlurmp vs Kuma | 5–3 | 62.50% |
| SprogSlurmp vs Eddy | 3–5 | 37.50% |
| SprogSlurmp vs Miary Zo | 4–4 | 50.00% |
| SprogSlurmp vs Jack-8 | 3–3 | 50.00% |
| SprogSlurmp vs Victor | 3–3 | 50.00% |
| SprogSlurmp vs Paul | 1–4 | 20.00% |
| SprogSlurmp vs Alisa | 1–4 | 20.00% |
| SprogSlurmp vs Raven | 2–2 | 50.00% |
| SprogSlurmp vs Shaheen | 1–2 | 33.33% |
| SprogSlurmp vs Panda | 1–2 | 33.33% |
| SprogSlurmp vs Claudio | 0–2 | 0.00% |
| SprogSlurmp vs Zafina | 2–0 | 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.