| DJWhaleTrain vs Jin | 11–12 | 47.83% |
| DJWhaleTrain vs Bryan | 8–10 | 44.44% |
| DJWhaleTrain vs Azucena | 11–7 | 61.11% |
| DJWhaleTrain vs King | 12–5 | 70.59% |
| DJWhaleTrain vs Steve | 10–7 | 58.82% |
| DJWhaleTrain vs Lili | 6–11 | 35.29% |
| DJWhaleTrain vs Lidia | 9–7 | 56.25% |
| DJWhaleTrain vs Reina | 9–6 | 60.00% |
| DJWhaleTrain vs Kazuya | 8–6 | 57.14% |
| DJWhaleTrain vs Hwoarang | 5–7 | 41.67% |
| DJWhaleTrain vs Victor | 9–3 | 75.00% |
| DJWhaleTrain vs Heihachi | 6–6 | 50.00% |
| DJWhaleTrain vs Claudio | 7–2 | 77.78% |
| DJWhaleTrain vs Nina | 6–3 | 66.67% |
| DJWhaleTrain vs Paul | 5–3 | 62.50% |
| DJWhaleTrain vs Xiaoyu | 6–2 | 75.00% |
| DJWhaleTrain vs Jun | 7–1 | 87.50% |
| DJWhaleTrain vs Asuka | 7–0 | 100.00% |
| DJWhaleTrain vs Feng | 3–4 | 42.86% |
| DJWhaleTrain vs Jack-8 | 5–1 | 83.33% |
| DJWhaleTrain vs Leroy | 2–4 | 33.33% |
| DJWhaleTrain vs Raven | 1–5 | 16.67% |
| DJWhaleTrain vs Dragunov | 2–3 | 40.00% |
| DJWhaleTrain vs Lee | 1–4 | 20.00% |
| DJWhaleTrain vs Eddy | 1–4 | 20.00% |
| DJWhaleTrain vs Yoshimitsu | 2–2 | 50.00% |
| DJWhaleTrain vs Devil Jin | 4–0 | 100.00% |
| DJWhaleTrain vs Clive | 4–0 | 100.00% |
| DJWhaleTrain vs Lars | 2–1 | 66.67% |
| DJWhaleTrain vs Leo | 2–0 | 100.00% |
| DJWhaleTrain vs Shaheen | 2–0 | 100.00% |
| DJWhaleTrain vs Zafina | 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.