| Laave vs Kazuya | 40–9 | 81.63% |
| Laave vs Dragunov | 34–15 | 69.39% |
| Laave vs Hwoarang | 35–12 | 74.47% |
| Laave vs King | 32–11 | 74.42% |
| Laave vs Bryan | 32–11 | 74.42% |
| Laave vs Paul | 21–10 | 67.74% |
| Laave vs Jin | 23–5 | 82.14% |
| Laave vs Steve | 20–8 | 71.43% |
| Laave vs Victor | 20–8 | 71.43% |
| Laave vs Yoshimitsu | 22–4 | 84.62% |
| Laave vs Law | 19–4 | 82.61% |
| Laave vs Devil Jin | 15–7 | 68.18% |
| Laave vs Reina | 15–7 | 68.18% |
| Laave vs Azucena | 15–6 | 71.43% |
| Laave vs Asuka | 10–9 | 52.63% |
| Laave vs Alisa | 15–3 | 83.33% |
| Laave vs Lee | 12–6 | 66.67% |
| Laave vs Leo | 14–3 | 82.35% |
| Laave vs Jun | 10–7 | 58.82% |
| Laave vs Nina | 12–4 | 75.00% |
| Laave vs Heihachi | 10–6 | 62.50% |
| Laave vs Claudio | 9–6 | 60.00% |
| Laave vs Kuma | 5–10 | 33.33% |
| Laave vs Zafina | 9–6 | 60.00% |
| Laave vs Feng | 10–4 | 71.43% |
| Laave vs Leroy | 12–2 | 85.71% |
| Laave vs Fahkumram | 7–7 | 50.00% |
| Laave vs Lars | 8–5 | 61.54% |
| Laave vs Eddy | 7–6 | 53.85% |
| Laave vs Lidia | 5–6 | 45.45% |
| Laave vs Jack-8 | 4–6 | 40.00% |
| Laave vs Lili | 7–3 | 70.00% |
| Laave vs Xiaoyu | 9–0 | 100.00% |
| Laave vs Anna | 3–5 | 37.50% |
| Laave vs Raven | 2–3 | 40.00% |
| Laave vs Shaheen | 4–0 | 100.00% |
| Laave vs Clive | 1–2 | 33.33% |
| Laave vs Panda | 2–0 | 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.