| LumpLump vs Hwoarang | 19–17 | 52.78% |
| LumpLump vs Reina | 24–12 | 66.67% |
| LumpLump vs Jin | 19–15 | 55.88% |
| LumpLump vs Steve | 25–6 | 80.65% |
| LumpLump vs Law | 15–14 | 51.72% |
| LumpLump vs Kazuya | 16–10 | 61.54% |
| LumpLump vs Lidia | 9–17 | 34.62% |
| LumpLump vs King | 13–11 | 54.17% |
| LumpLump vs Eddy | 11–13 | 45.83% |
| LumpLump vs Victor | 12–11 | 52.17% |
| LumpLump vs Lili | 10–11 | 47.62% |
| LumpLump vs Armor King | 10–10 | 50.00% |
| LumpLump vs Nina | 8–11 | 42.11% |
| LumpLump vs Alisa | 10–7 | 58.82% |
| LumpLump vs Yoshimitsu | 12–4 | 75.00% |
| LumpLump vs Xiaoyu | 9–7 | 56.25% |
| LumpLump vs Jun | 8–8 | 50.00% |
| LumpLump vs Lee | 7–6 | 53.85% |
| LumpLump vs Leroy | 6–7 | 46.15% |
| LumpLump vs Azucena | 8–5 | 61.54% |
| LumpLump vs Lars | 8–4 | 66.67% |
| LumpLump vs Clive | 3–8 | 27.27% |
| LumpLump vs Dragunov | 3–7 | 30.00% |
| LumpLump vs Kuma | 6–3 | 66.67% |
| LumpLump vs Bryan | 6–2 | 75.00% |
| LumpLump vs Asuka | 2–6 | 25.00% |
| LumpLump vs Leo | 6–2 | 75.00% |
| LumpLump vs Feng | 4–3 | 57.14% |
| LumpLump vs Claudio | 5–2 | 71.43% |
| LumpLump vs Raven | 3–4 | 42.86% |
| LumpLump vs Paul | 2–4 | 33.33% |
| LumpLump vs Devil Jin | 4–2 | 66.67% |
| LumpLump vs Miary Zo | 3–3 | 50.00% |
| LumpLump vs Heihachi | 3–2 | 60.00% |
| LumpLump vs Anna | 4–0 | 100.00% |
| LumpLump vs Fahkumram | 2–2 | 50.00% |
| LumpLump vs Panda | 3–0 | 100.00% |
| LumpLump vs Shaheen | 0–2 | 0.00% |
| LumpLump vs Zafina | 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.