| LME|FLAMINGO vs Clive | 56–22 | 71.79% |
| LME|FLAMINGO vs Kazuya | 43–23 | 65.15% |
| LME|FLAMINGO vs Jin | 44–18–1 | 70.97% |
| LME|FLAMINGO vs Bryan | 36–25 | 59.02% |
| LME|FLAMINGO vs Dragunov | 29–20 | 59.18% |
| LME|FLAMINGO vs Heihachi | 30–19 | 61.22% |
| LME|FLAMINGO vs King | 24–21 | 53.33% |
| LME|FLAMINGO vs Reina | 27–18 | 60.00% |
| LME|FLAMINGO vs Hwoarang | 28–11 | 71.79% |
| LME|FLAMINGO vs Steve | 16–18 | 47.06% |
| LME|FLAMINGO vs Law | 19–9 | 67.86% |
| LME|FLAMINGO vs Lee | 18–8 | 69.23% |
| LME|FLAMINGO vs Victor | 18–6 | 75.00% |
| LME|FLAMINGO vs Devil Jin | 17–6 | 73.91% |
| LME|FLAMINGO vs Nina | 19–4 | 82.61% |
| LME|FLAMINGO vs Yoshimitsu | 16–6 | 72.73% |
| LME|FLAMINGO vs Paul | 18–3 | 85.71% |
| LME|FLAMINGO vs Azucena | 10–10 | 50.00% |
| LME|FLAMINGO vs Raven | 14–5 | 73.68% |
| LME|FLAMINGO vs Jun | 14–4 | 77.78% |
| LME|FLAMINGO vs Feng | 11–5 | 68.75% |
| LME|FLAMINGO vs Lidia | 10–6 | 62.50% |
| LME|FLAMINGO vs Asuka | 11–3 | 78.57% |
| LME|FLAMINGO vs Lili | 5–9 | 35.71% |
| LME|FLAMINGO vs Jack-8 | 7–6 | 53.85% |
| LME|FLAMINGO vs Xiaoyu | 9–3 | 75.00% |
| LME|FLAMINGO vs Leroy | 4–8 | 33.33% |
| LME|FLAMINGO vs Claudio | 6–5 | 54.55% |
| LME|FLAMINGO vs Eddy | 6–3 | 66.67% |
| LME|FLAMINGO vs Leo | 4–3 | 57.14% |
| LME|FLAMINGO vs Lars | 6–1 | 85.71% |
| LME|FLAMINGO vs Zafina | 3–3 | 50.00% |
| LME|FLAMINGO vs Alisa | 2–3 | 40.00% |
| LME|FLAMINGO vs Shaheen | 2–3 | 40.00% |
| LME|FLAMINGO vs Kuma | 2–3 | 40.00% |
| LME|FLAMINGO vs Panda | 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.