| re-fleks vs Armor King | 58–53 | 52.25% |
| re-fleks vs Kazuya | 49–41 | 54.44% |
| re-fleks vs Miary Zo | 30–28 | 51.72% |
| re-fleks vs Steve | 27–27 | 50.00% |
| re-fleks vs Bryan | 20–25 | 44.44% |
| re-fleks vs King | 15–27 | 35.71% |
| re-fleks vs Yoshimitsu | 26–13 | 66.67% |
| re-fleks vs Paul | 17–19 | 47.22% |
| re-fleks vs Dragunov | 17–18 | 48.57% |
| re-fleks vs Law | 17–17 | 50.00% |
| re-fleks vs Lee | 17–17 | 50.00% |
| re-fleks vs Lili | 19–13 | 59.38% |
| re-fleks vs Jin | 14–17 | 45.16% |
| re-fleks vs Hwoarang | 14–15 | 48.28% |
| re-fleks vs Xiaoyu | 16–11 | 59.26% |
| re-fleks vs Devil Jin | 6–21 | 22.22% |
| re-fleks vs Victor | 8–14 | 36.36% |
| re-fleks vs Lidia | 14–8 | 63.64% |
| re-fleks vs Heihachi | 13–8 | 61.90% |
| re-fleks vs Feng | 7–13 | 35.00% |
| re-fleks vs Leroy | 10–10 | 50.00% |
| re-fleks vs Azucena | 10–10 | 50.00% |
| re-fleks vs Reina | 11–8 | 57.89% |
| re-fleks vs Asuka | 8–9 | 47.06% |
| re-fleks vs Anna | 8–8 | 50.00% |
| re-fleks vs Alisa | 10–5 | 66.67% |
| re-fleks vs Jun | 7–8 | 46.67% |
| re-fleks vs Jack-8 | 5–9 | 35.71% |
| re-fleks vs Lars | 7–6 | 53.85% |
| re-fleks vs Raven | 6–7 | 46.15% |
| re-fleks vs Eddy | 8–4 | 66.67% |
| re-fleks vs Fahkumram | 4–7 | 36.36% |
| re-fleks vs Clive | 5–4 | 55.56% |
| re-fleks vs Leo | 3–5 | 37.50% |
| re-fleks vs Nina | 4–3 | 57.14% |
| re-fleks vs Claudio | 2–3 | 40.00% |
| re-fleks vs Shaheen | 3–1 | 75.00% |
| re-fleks vs Zafina | 3–1 | 75.00% |
| re-fleks vs Kuma | 0–2 | 0.00% |
| re-fleks vs Panda | 1–0 | 100.00% |
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.