| ATMOSPHERE vs Armor King | 22–32 | 40.74% |
| ATMOSPHERE vs Asuka | 31–20 | 60.78% |
| ATMOSPHERE vs Kazuya | 21–26 | 44.68% |
| ATMOSPHERE vs Dragunov | 19–23 | 45.24% |
| ATMOSPHERE vs Bryan | 17–18 | 48.57% |
| ATMOSPHERE vs Paul | 12–19–1 | 38.71% |
| ATMOSPHERE vs Law | 14–18 | 43.75% |
| ATMOSPHERE vs Jin | 16–12 | 57.14% |
| ATMOSPHERE vs Steve | 17–10 | 62.96% |
| ATMOSPHERE vs King | 11–15 | 42.31% |
| ATMOSPHERE vs Alisa | 14–10 | 58.33% |
| ATMOSPHERE vs Victor | 11–13 | 45.83% |
| ATMOSPHERE vs Lili | 7–16 | 30.43% |
| ATMOSPHERE vs Eddy | 10–13 | 43.48% |
| ATMOSPHERE vs Reina | 8–13 | 38.10% |
| ATMOSPHERE vs Lidia | 9–9 | 50.00% |
| ATMOSPHERE vs Hwoarang | 8–9 | 47.06% |
| ATMOSPHERE vs Fahkumram | 6–9 | 40.00% |
| ATMOSPHERE vs Xiaoyu | 9–5 | 64.29% |
| ATMOSPHERE vs Clive | 8–6 | 57.14% |
| ATMOSPHERE vs Yoshimitsu | 6–5 | 54.55% |
| ATMOSPHERE vs Jack-8 | 5–5 | 50.00% |
| ATMOSPHERE vs Devil Jin | 2–8 | 20.00% |
| ATMOSPHERE vs Leroy | 6–4 | 60.00% |
| ATMOSPHERE vs Jun | 4–6 | 40.00% |
| ATMOSPHERE vs Raven | 5–5 | 50.00% |
| ATMOSPHERE vs Azucena | 5–3 | 62.50% |
| ATMOSPHERE vs Miary Zo | 2–6 | 25.00% |
| ATMOSPHERE vs Feng | 2–5 | 28.57% |
| ATMOSPHERE vs Lars | 4–3 | 57.14% |
| ATMOSPHERE vs Anna | 1–6 | 14.29% |
| ATMOSPHERE vs Leo | 1–4 | 20.00% |
| ATMOSPHERE vs Claudio | 2–3 | 40.00% |
| ATMOSPHERE vs Heihachi | 3–2 | 60.00% |
| ATMOSPHERE vs Nina | 3–0 | 100.00% |
| ATMOSPHERE vs Zafina | 2–1 | 66.67% |
| ATMOSPHERE vs Shaheen | 2–0 | 100.00% |
| ATMOSPHERE vs Lee | 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.