| Em-Florres vs Jin | 48–50 | 48.98% |
| Em-Florres vs Yoshimitsu | 44–17 | 72.13% |
| Em-Florres vs King | 29–26 | 52.73% |
| Em-Florres vs Kazuya | 27–28 | 49.09% |
| Em-Florres vs Hwoarang | 20–28 | 41.67% |
| Em-Florres vs Dragunov | 22–24 | 47.83% |
| Em-Florres vs Lee | 24–22 | 52.17% |
| Em-Florres vs Heihachi | 26–20 | 56.52% |
| Em-Florres vs Devil Jin | 21–22 | 48.84% |
| Em-Florres vs Bryan | 26–15 | 63.41% |
| Em-Florres vs Paul | 25–15 | 62.50% |
| Em-Florres vs Law | 29–9 | 76.32% |
| Em-Florres vs Steve | 16–20 | 44.44% |
| Em-Florres vs Xiaoyu | 16–19 | 45.71% |
| Em-Florres vs Reina | 19–16 | 54.29% |
| Em-Florres vs Lili | 20–12 | 62.50% |
| Em-Florres vs Asuka | 15–16 | 48.39% |
| Em-Florres vs Raven | 14–12 | 53.85% |
| Em-Florres vs Lidia | 15–11 | 57.69% |
| Em-Florres vs Leo | 10–15 | 40.00% |
| Em-Florres vs Alisa | 11–14 | 44.00% |
| Em-Florres vs Victor | 10–15 | 40.00% |
| Em-Florres vs Shaheen | 13–9 | 59.09% |
| Em-Florres vs Lars | 14–7 | 66.67% |
| Em-Florres vs Nina | 8–12 | 40.00% |
| Em-Florres vs Armor King | 11–9 | 55.00% |
| Em-Florres vs Eddy | 8–11 | 42.11% |
| Em-Florres vs Jun | 12–6 | 66.67% |
| Em-Florres vs Feng | 8–9 | 47.06% |
| Em-Florres vs Clive | 9–8 | 52.94% |
| Em-Florres vs Leroy | 11–5 | 68.75% |
| Em-Florres vs Azucena | 9–6 | 60.00% |
| Em-Florres vs Claudio | 7–7 | 50.00% |
| Em-Florres vs Kuma | 8–5 | 61.54% |
| Em-Florres vs Jack-8 | 2–6 | 25.00% |
| Em-Florres vs Panda | 4–4 | 50.00% |
| Em-Florres vs Fahkumram | 4–4 | 50.00% |
| Em-Florres vs Zafina | 3–3 | 50.00% |
| Em-Florres vs Anna | 2–2 | 50.00% |
| Em-Florres vs Miary Zo | 1–3 | 25.00% |
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.