| Storm vs Kazuya | 31–14 | 68.89% |
| Storm vs Jin | 15–17 | 46.88% |
| Storm vs Bryan | 10–20 | 33.33% |
| Storm vs Reina | 11–16 | 40.74% |
| Storm vs Steve | 15–11 | 57.69% |
| Storm vs Heihachi | 19–7 | 73.08% |
| Storm vs King | 15–10 | 60.00% |
| Storm vs Hwoarang | 11–12 | 47.83% |
| Storm vs Yoshimitsu | 15–7 | 68.18% |
| Storm vs Paul | 12–5 | 70.59% |
| Storm vs Law | 12–5 | 70.59% |
| Storm vs Dragunov | 10–6 | 62.50% |
| Storm vs Lee | 5–10 | 33.33% |
| Storm vs Feng | 8–6 | 57.14% |
| Storm vs Eddy | 10–3 | 76.92% |
| Storm vs Victor | 8–4 | 66.67% |
| Storm vs Xiaoyu | 9–2 | 81.82% |
| Storm vs Nina | 2–8 | 20.00% |
| Storm vs Leroy | 5–3 | 62.50% |
| Storm vs Lars | 6–1 | 85.71% |
| Storm vs Devil Jin | 4–2 | 66.67% |
| Storm vs Lili | 2–4 | 33.33% |
| Storm vs Azucena | 4–2 | 66.67% |
| Storm vs Jack-8 | 5–0 | 100.00% |
| Storm vs Jun | 2–3 | 40.00% |
| Storm vs Shaheen | 2–2 | 50.00% |
| Storm vs Lidia | 1–3 | 25.00% |
| Storm vs Clive | 2–2 | 50.00% |
| Storm vs Armor King | 0–4 | 0.00% |
| Storm vs Asuka | 1–2 | 33.33% |
| Storm vs Leo | 2–1 | 66.67% |
| Storm vs Fahkumram | 1–2 | 33.33% |
| Storm vs Miary Zo | 1–2 | 33.33% |
| Storm vs Panda | 2–0 | 100.00% |
| Storm vs Zafina | 2–0 | 100.00% |
| Storm vs Anna | 0–2 | 0.00% |
| Storm vs Alisa | 0–1 | 0.00% |
| Storm vs Claudio | 1–0 | 100.00% |
| Storm vs Kuma | 0–1 | 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.