| LIMBO vs Reina | 13–9 | 59.09% |
| LIMBO vs Armor King | 9–11 | 45.00% |
| LIMBO vs Kazuya | 11–7 | 61.11% |
| LIMBO vs Steve | 8–8 | 50.00% |
| LIMBO vs Law | 7–6 | 53.85% |
| LIMBO vs Jin | 7–6 | 53.85% |
| LIMBO vs Feng | 4–8–1 | 33.33% |
| LIMBO vs Jun | 3–9 | 25.00% |
| LIMBO vs Victor | 6–5 | 54.55% |
| LIMBO vs Heihachi | 8–3 | 72.73% |
| LIMBO vs King | 8–2 | 80.00% |
| LIMBO vs Lili | 5–5 | 50.00% |
| LIMBO vs Leroy | 5–5 | 50.00% |
| LIMBO vs Eddy | 4–6 | 40.00% |
| LIMBO vs Bryan | 0–8 | 0.00% |
| LIMBO vs Asuka | 2–6 | 25.00% |
| LIMBO vs Lars | 5–3 | 62.50% |
| LIMBO vs Lee | 3–5 | 37.50% |
| LIMBO vs Paul | 1–6 | 14.29% |
| LIMBO vs Yoshimitsu | 5–2 | 71.43% |
| LIMBO vs Hwoarang | 3–4 | 42.86% |
| LIMBO vs Dragunov | 4–3 | 57.14% |
| LIMBO vs Azucena | 5–2 | 71.43% |
| LIMBO vs Fahkumram | 2–5 | 28.57% |
| LIMBO vs Devil Jin | 3–3 | 50.00% |
| LIMBO vs Claudio | 2–3 | 40.00% |
| LIMBO vs Xiaoyu | 2–2 | 50.00% |
| LIMBO vs Leo | 2–2 | 50.00% |
| LIMBO vs Clive | 4–0 | 100.00% |
| LIMBO vs Anna | 0–4 | 0.00% |
| LIMBO vs Alisa | 1–2 | 33.33% |
| LIMBO vs Lidia | 3–0 | 100.00% |
| LIMBO vs Shaheen | 2–0 | 100.00% |
| LIMBO vs Nina | 0–2 | 0.00% |
| LIMBO vs Kuma | 2–0 | 100.00% |
| LIMBO vs Panda | 2–0 | 100.00% |
| LIMBO vs Raven | 2–0 | 100.00% |
| LIMBO vs Miary Zo | 0–2 | 0.00% |
| LIMBO vs Jack-8 | 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.