| Kelp vs Reina | 32–29 | 52.46% |
| Kelp vs King | 24–26 | 48.00% |
| Kelp vs Kazuya | 30–15 | 66.67% |
| Kelp vs Jin | 16–28 | 36.36% |
| Kelp vs Bryan | 17–25 | 40.48% |
| Kelp vs Eddy | 16–25 | 39.02% |
| Kelp vs Hwoarang | 17–17 | 50.00% |
| Kelp vs Lili | 16–17 | 48.48% |
| Kelp vs Steve | 21–10 | 67.74% |
| Kelp vs Dragunov | 18–12 | 60.00% |
| Kelp vs Lars | 11–18 | 37.93% |
| Kelp vs Paul | 14–13 | 51.85% |
| Kelp vs Jun | 16–10 | 61.54% |
| Kelp vs Law | 8–15 | 34.78% |
| Kelp vs Azucena | 11–12 | 47.83% |
| Kelp vs Yoshimitsu | 7–14 | 33.33% |
| Kelp vs Feng | 9–12 | 42.86% |
| Kelp vs Lee | 8–12 | 40.00% |
| Kelp vs Raven | 4–10 | 28.57% |
| Kelp vs Nina | 5–8 | 38.46% |
| Kelp vs Devil Jin | 8–4 | 66.67% |
| Kelp vs Jack-8 | 6–5 | 54.55% |
| Kelp vs Leroy | 5–6 | 45.45% |
| Kelp vs Victor | 2–9 | 18.18% |
| Kelp vs Xiaoyu | 5–5 | 50.00% |
| Kelp vs Leo | 6–4 | 60.00% |
| Kelp vs Claudio | 6–4 | 60.00% |
| Kelp vs Zafina | 1–7 | 12.50% |
| Kelp vs Asuka | 5–2 | 71.43% |
| Kelp vs Clive | 2–5 | 28.57% |
| Kelp vs Kuma | 3–3 | 50.00% |
| Kelp vs Alisa | 3–2 | 60.00% |
| Kelp vs Shaheen | 2–3 | 40.00% |
| Kelp vs Panda | 3–1 | 75.00% |
| Kelp vs Miary Zo | 2–2 | 50.00% |
| Kelp vs Heihachi | 1–2 | 33.33% |
| Kelp vs Fahkumram | 2–1 | 66.67% |
| Kelp vs Lidia | 1–1 | 50.00% |
| Kelp vs Anna | 0–2 | 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.