| SJLP2025 vs King | 70–0 | 100.00% |
| SJLP2025 vs Steve | 67–1 | 98.53% |
| SJLP2025 vs Jin | 58–1 | 98.31% |
| SJLP2025 vs Law | 48–4 | 92.31% |
| SJLP2025 vs Bryan | 52–0 | 100.00% |
| SJLP2025 vs Armor King | 50–1 | 98.04% |
| SJLP2025 vs Hwoarang | 45–2 | 95.74% |
| SJLP2025 vs Azucena | 40–3 | 93.02% |
| SJLP2025 vs Miary Zo | 40–3 | 93.02% |
| SJLP2025 vs Reina | 41–1 | 97.62% |
| SJLP2025 vs Fahkumram | 40–0 | 100.00% |
| SJLP2025 vs Yoshimitsu | 36–2 | 94.74% |
| SJLP2025 vs Kazuya | 35–3 | 92.11% |
| SJLP2025 vs Eddy | 36–0 | 100.00% |
| SJLP2025 vs Lili | 34–1 | 97.14% |
| SJLP2025 vs Lidia | 34–1 | 97.14% |
| SJLP2025 vs Dragunov | 32–0 | 100.00% |
| SJLP2025 vs Asuka | 29–0 | 100.00% |
| SJLP2025 vs Jun | 26–2 | 92.86% |
| SJLP2025 vs Heihachi | 26–2 | 92.86% |
| SJLP2025 vs Paul | 23–1 | 95.83% |
| SJLP2025 vs Lars | 24–0 | 100.00% |
| SJLP2025 vs Clive | 24–0 | 100.00% |
| SJLP2025 vs Devil Jin | 21–0 | 100.00% |
| SJLP2025 vs Lee | 20–1 | 95.24% |
| SJLP2025 vs Alisa | 20–0 | 100.00% |
| SJLP2025 vs Leroy | 18–2 | 90.00% |
| SJLP2025 vs Jack-8 | 17–1 | 94.44% |
| SJLP2025 vs Victor | 17–1 | 94.44% |
| SJLP2025 vs Nina | 17–0 | 100.00% |
| SJLP2025 vs Xiaoyu | 16–0 | 100.00% |
| SJLP2025 vs Leo | 14–1 | 93.33% |
| SJLP2025 vs Kuma | 14–0 | 100.00% |
| SJLP2025 vs Feng | 13–0 | 100.00% |
| SJLP2025 vs Raven | 12–1 | 92.31% |
| SJLP2025 vs Panda | 9–0 | 100.00% |
| SJLP2025 vs Anna | 9–0 | 100.00% |
| SJLP2025 vs Claudio | 8–0 | 100.00% |
| SJLP2025 vs Shaheen | 7–0 | 100.00% |
| SJLP2025 vs Zafina | 0–4 | 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.