| Kispaloco vs Jin | 28–32 | 46.67% |
| Kispaloco vs King | 34–20 | 62.96% |
| Kispaloco vs Law | 24–22 | 52.17% |
| Kispaloco vs Kazuya | 15–29 | 34.09% |
| Kispaloco vs Hwoarang | 6–22 | 21.43% |
| Kispaloco vs Steve | 20–8 | 71.43% |
| Kispaloco vs Eddy | 11–16 | 40.74% |
| Kispaloco vs Bryan | 13–12 | 52.00% |
| Kispaloco vs Dragunov | 14–11 | 56.00% |
| Kispaloco vs Lili | 15–9 | 62.50% |
| Kispaloco vs Yoshimitsu | 12–10 | 54.55% |
| Kispaloco vs Lee | 10–11 | 47.62% |
| Kispaloco vs Azucena | 9–12 | 42.86% |
| Kispaloco vs Jun | 9–11 | 45.00% |
| Kispaloco vs Fahkumram | 5–15 | 25.00% |
| Kispaloco vs Reina | 5–11 | 31.25% |
| Kispaloco vs Armor King | 7–8 | 46.67% |
| Kispaloco vs Xiaoyu | 6–8 | 42.86% |
| Kispaloco vs Asuka | 6–6 | 50.00% |
| Kispaloco vs Jack-8 | 3–8 | 27.27% |
| Kispaloco vs Paul | 1–9 | 10.00% |
| Kispaloco vs Alisa | 2–8 | 20.00% |
| Kispaloco vs Anna | 4–6 | 40.00% |
| Kispaloco vs Feng | 3–6 | 33.33% |
| Kispaloco vs Miary Zo | 2–7 | 22.22% |
| Kispaloco vs Lars | 3–5 | 37.50% |
| Kispaloco vs Lidia | 4–4 | 50.00% |
| Kispaloco vs Heihachi | 3–5 | 37.50% |
| Kispaloco vs Clive | 4–4 | 50.00% |
| Kispaloco vs Claudio | 3–3 | 50.00% |
| Kispaloco vs Leo | 2–3 | 40.00% |
| Kispaloco vs Kuma | 3–2 | 60.00% |
| Kispaloco vs Zafina | 3–2 | 60.00% |
| Kispaloco vs Victor | 1–4 | 20.00% |
| Kispaloco vs Devil Jin | 2–2 | 50.00% |
| Kispaloco vs Raven | 2–2 | 50.00% |
| Kispaloco vs Nina | 1–1 | 50.00% |
| Kispaloco vs Panda | 0–2 | 0.00% |
| Kispaloco vs Leroy | 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.