| KMR | JEELANI vs Dragunov | 19–14–1 | 57.58% |
| KMR | JEELANI vs King | 16–14 | 53.33% |
| KMR | JEELANI vs Jin | 19–11 | 63.33% |
| KMR | JEELANI vs Bryan | 16–9 | 64.00% |
| KMR | JEELANI vs Kazuya | 17–4 | 80.95% |
| KMR | JEELANI vs Paul | 9–6 | 60.00% |
| KMR | JEELANI vs Steve | 14–1 | 93.33% |
| KMR | JEELANI vs Devil Jin | 11–2 | 84.62% |
| KMR | JEELANI vs Law | 10–1 | 90.91% |
| KMR | JEELANI vs Lee | 7–4 | 63.64% |
| KMR | JEELANI vs Leroy | 7–2 | 77.78% |
| KMR | JEELANI vs Eddy | 6–3 | 66.67% |
| KMR | JEELANI vs Yoshimitsu | 8–0 | 100.00% |
| KMR | JEELANI vs Lars | 4–4 | 50.00% |
| KMR | JEELANI vs Jun | 4–4 | 50.00% |
| KMR | JEELANI vs Jack-8 | 2–5 | 28.57% |
| KMR | JEELANI vs Reina | 4–3 | 57.14% |
| KMR | JEELANI vs Heihachi | 3–4 | 42.86% |
| KMR | JEELANI vs Asuka | 4–1 | 80.00% |
| KMR | JEELANI vs Claudio | 2–3 | 40.00% |
| KMR | JEELANI vs Hwoarang | 2–2 | 50.00% |
| KMR | JEELANI vs Lili | 2–2 | 50.00% |
| KMR | JEELANI vs Raven | 3–1 | 75.00% |
| KMR | JEELANI vs Kuma | 2–1 | 66.67% |
| KMR | JEELANI vs Alisa | 2–0 | 100.00% |
| KMR | JEELANI vs Shaheen | 2–0 | 100.00% |
| KMR | JEELANI vs Nina | 2–0 | 100.00% |
| KMR | JEELANI vs Zafina | 0–2 | 0.00% |
| KMR | JEELANI vs Victor | 1–1 | 50.00% |
| KMR | JEELANI vs Lidia | 2–0 | 100.00% |
| KMR | JEELANI vs Azucena | 1–0 | 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.