| KoolNdaGang vs Steve | 13–13 | 50.00% |
| KoolNdaGang vs Hwoarang | 9–14 | 39.13% |
| KoolNdaGang vs Lars | 8–13 | 38.10% |
| KoolNdaGang vs King | 5–8 | 38.46% |
| KoolNdaGang vs Yoshimitsu | 5–8 | 38.46% |
| KoolNdaGang vs Asuka | 10–3 | 76.92% |
| KoolNdaGang vs Jin | 5–6 | 45.45% |
| KoolNdaGang vs Jun | 5–5 | 50.00% |
| KoolNdaGang vs Bryan | 3–6 | 33.33% |
| KoolNdaGang vs Heihachi | 4–5 | 44.44% |
| KoolNdaGang vs Alisa | 7–1 | 87.50% |
| KoolNdaGang vs Claudio | 2–6 | 25.00% |
| KoolNdaGang vs Reina | 4–4 | 50.00% |
| KoolNdaGang vs Victor | 7–1 | 87.50% |
| KoolNdaGang vs Law | 3–4 | 42.86% |
| KoolNdaGang vs Nina | 1–6 | 14.29% |
| KoolNdaGang vs Dragunov | 2–4 | 33.33% |
| KoolNdaGang vs Lidia | 2–3 | 40.00% |
| KoolNdaGang vs Kazuya | 0–4 | 0.00% |
| KoolNdaGang vs Lee | 2–2 | 50.00% |
| KoolNdaGang vs Eddy | 0–4 | 0.00% |
| KoolNdaGang vs Devil Jin | 1–2 | 33.33% |
| KoolNdaGang vs Feng | 1–2 | 33.33% |
| KoolNdaGang vs Panda | 2–1 | 66.67% |
| KoolNdaGang vs Paul | 2–0 | 100.00% |
| KoolNdaGang vs Xiaoyu | 2–0 | 100.00% |
| KoolNdaGang vs Jack-8 | 0–2 | 0.00% |
| KoolNdaGang vs Leo | 0–2 | 0.00% |
| KoolNdaGang vs Shaheen | 0–2 | 0.00% |
| KoolNdaGang vs Kuma | 0–2 | 0.00% |
| KoolNdaGang vs Leroy | 2–0 | 100.00% |
| KoolNdaGang vs Azucena | 2–0 | 100.00% |
| KoolNdaGang vs Raven | 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.