| Jelloman_123 vs King | 61–64 | 48.80% |
| Jelloman_123 vs Jin | 55–63 | 46.61% |
| Jelloman_123 vs Reina | 45–53 | 45.92% |
| Jelloman_123 vs Kazuya | 43–46 | 48.31% |
| Jelloman_123 vs Hwoarang | 33–50 | 39.76% |
| Jelloman_123 vs Steve | 47–30 | 61.04% |
| Jelloman_123 vs Bryan | 30–43 | 41.10% |
| Jelloman_123 vs Law | 38–34 | 52.78% |
| Jelloman_123 vs Lili | 18–51 | 26.09% |
| Jelloman_123 vs Eddy | 31–36 | 46.27% |
| Jelloman_123 vs Dragunov | 26–30 | 46.43% |
| Jelloman_123 vs Lars | 24–30 | 44.44% |
| Jelloman_123 vs Asuka | 25–25 | 50.00% |
| Jelloman_123 vs Nina | 21–28 | 42.86% |
| Jelloman_123 vs Azucena | 28–21 | 57.14% |
| Jelloman_123 vs Paul | 21–27 | 43.75% |
| Jelloman_123 vs Yoshimitsu | 21–27 | 43.75% |
| Jelloman_123 vs Jun | 19–27 | 41.30% |
| Jelloman_123 vs Lee | 23–20 | 53.49% |
| Jelloman_123 vs Xiaoyu | 19–23 | 45.24% |
| Jelloman_123 vs Jack-8 | 23–17 | 57.50% |
| Jelloman_123 vs Lidia | 17–20 | 45.95% |
| Jelloman_123 vs Heihachi | 9–24 | 27.27% |
| Jelloman_123 vs Devil Jin | 12–19 | 38.71% |
| Jelloman_123 vs Feng | 11–18 | 37.93% |
| Jelloman_123 vs Alisa | 13–12 | 52.00% |
| Jelloman_123 vs Clive | 8–17 | 32.00% |
| Jelloman_123 vs Leo | 13–10 | 56.52% |
| Jelloman_123 vs Victor | 11–10 | 52.38% |
| Jelloman_123 vs Kuma | 8–12 | 40.00% |
| Jelloman_123 vs Leroy | 11–9 | 55.00% |
| Jelloman_123 vs Raven | 6–14 | 30.00% |
| Jelloman_123 vs Shaheen | 12–5 | 70.59% |
| Jelloman_123 vs Claudio | 3–12 | 20.00% |
| Jelloman_123 vs Panda | 5–7 | 41.67% |
| Jelloman_123 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.