| larry vs Kazuya | 33–27 | 55.00% |
| larry vs Paul | 29–21 | 58.00% |
| larry vs King | 25–25 | 50.00% |
| larry vs Reina | 26–20 | 56.52% |
| larry vs Jin | 24–19 | 55.81% |
| larry vs Dragunov | 17–25 | 40.48% |
| larry vs Hwoarang | 22–19 | 53.66% |
| larry vs Lili | 21–18 | 53.85% |
| larry vs Bryan | 23–14 | 62.16% |
| larry vs Law | 9–21 | 30.00% |
| larry vs Steve | 11–15 | 42.31% |
| larry vs Raven | 11–14 | 44.00% |
| larry vs Heihachi | 16–8 | 66.67% |
| larry vs Lars | 10–13 | 43.48% |
| larry vs Jun | 12–8 | 60.00% |
| larry vs Armor King | 9–9 | 50.00% |
| larry vs Devil Jin | 8–8 | 50.00% |
| larry vs Victor | 6–9 | 40.00% |
| larry vs Eddy | 8–6 | 57.14% |
| larry vs Asuka | 7–5 | 58.33% |
| larry vs Leo | 5–7 | 41.67% |
| larry vs Lee | 3–9 | 25.00% |
| larry vs Azucena | 5–7 | 41.67% |
| larry vs Jack-8 | 4–7 | 36.36% |
| larry vs Zafina | 6–4 | 60.00% |
| larry vs Lidia | 3–7 | 30.00% |
| larry vs Yoshimitsu | 6–3 | 66.67% |
| larry vs Xiaoyu | 6–3 | 66.67% |
| larry vs Anna | 3–6 | 33.33% |
| larry vs Fahkumram | 4–5 | 44.44% |
| larry vs Feng | 5–3 | 62.50% |
| larry vs Alisa | 4–4 | 50.00% |
| larry vs Nina | 4–3 | 57.14% |
| larry vs Leroy | 4–3 | 57.14% |
| larry vs Claudio | 2–4 | 33.33% |
| larry vs Kuma | 5–1 | 83.33% |
| larry vs Shaheen | 4–0 | 100.00% |
| larry vs Clive | 0–4 | 0.00% |
| larry vs Panda | 2–1 | 66.67% |
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.