| saffroncare vs Bryan | 44–38 | 53.66% |
| saffroncare vs Dragunov | 31–35 | 46.97% |
| saffroncare vs Kazuya | 34–19 | 64.15% |
| saffroncare vs King | 29–17 | 63.04% |
| saffroncare vs Jin | 22–22 | 50.00% |
| saffroncare vs Paul | 28–15 | 65.12% |
| saffroncare vs Hwoarang | 29–14 | 67.44% |
| saffroncare vs Lili | 21–19 | 52.50% |
| saffroncare vs Lars | 21–16 | 56.76% |
| saffroncare vs Reina | 20–17 | 54.05% |
| saffroncare vs Devil Jin | 21–11 | 65.62% |
| saffroncare vs Feng | 20–12 | 62.50% |
| saffroncare vs Jun | 19–10 | 65.52% |
| saffroncare vs Asuka | 14–14 | 50.00% |
| saffroncare vs Lidia | 11–15 | 42.31% |
| saffroncare vs Claudio | 14–11 | 56.00% |
| saffroncare vs Azucena | 17–7 | 70.83% |
| saffroncare vs Yoshimitsu | 15–8 | 65.22% |
| saffroncare vs Jack-8 | 14–8 | 63.64% |
| saffroncare vs Law | 13–7 | 65.00% |
| saffroncare vs Nina | 11–9 | 55.00% |
| saffroncare vs Raven | 11–9 | 55.00% |
| saffroncare vs Alisa | 12–7 | 63.16% |
| saffroncare vs Zafina | 11–7 | 61.11% |
| saffroncare vs Leo | 10–7 | 58.82% |
| saffroncare vs Leroy | 10–7 | 58.82% |
| saffroncare vs Lee | 12–4 | 75.00% |
| saffroncare vs Victor | 13–2 | 86.67% |
| saffroncare vs Heihachi | 8–3 | 72.73% |
| saffroncare vs Eddy | 7–3 | 70.00% |
| saffroncare vs Steve | 6–3 | 66.67% |
| saffroncare vs Shaheen | 1–6 | 14.29% |
| saffroncare vs Kuma | 2–5 | 28.57% |
| saffroncare vs Anna | 6–1 | 85.71% |
| saffroncare vs Xiaoyu | 4–2 | 66.67% |
| saffroncare vs Clive | 4–0 | 100.00% |
| saffroncare vs Panda | 0–3 | 0.00% |
| saffroncare vs Fahkumram | 3–0 | 100.00% |
| saffroncare vs Armor King | 1–2 | 33.33% |
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.