| lilbatti vs Kazuya | 39–41 | 48.75% |
| lilbatti vs Dragunov | 54–23 | 70.13% |
| lilbatti vs Jin | 36–37 | 49.32% |
| lilbatti vs Armor King | 34–34 | 50.00% |
| lilbatti vs Bryan | 39–28 | 58.21% |
| lilbatti vs King | 37–29 | 56.06% |
| lilbatti vs Hwoarang | 29–29 | 50.00% |
| lilbatti vs Reina | 31–25 | 55.36% |
| lilbatti vs Steve | 28–25 | 52.83% |
| lilbatti vs Devil Jin | 14–27 | 34.15% |
| lilbatti vs Lili | 16–25 | 39.02% |
| lilbatti vs Yoshimitsu | 19–21 | 47.50% |
| lilbatti vs Lars | 23–16 | 58.97% |
| lilbatti vs Jun | 20–14 | 58.82% |
| lilbatti vs Law | 18–12 | 60.00% |
| lilbatti vs Azucena | 12–17 | 41.38% |
| lilbatti vs Paul | 10–17 | 37.04% |
| lilbatti vs Asuka | 16–11 | 59.26% |
| lilbatti vs Fahkumram | 12–15 | 44.44% |
| lilbatti vs Victor | 14–11 | 56.00% |
| lilbatti vs Raven | 12–10 | 54.55% |
| lilbatti vs Alisa | 14–7 | 66.67% |
| lilbatti vs Eddy | 10–10 | 50.00% |
| lilbatti vs Clive | 8–12 | 40.00% |
| lilbatti vs Claudio | 8–11 | 42.11% |
| lilbatti vs Heihachi | 13–6 | 68.42% |
| lilbatti vs Nina | 8–10 | 44.44% |
| lilbatti vs Xiaoyu | 7–10 | 41.18% |
| lilbatti vs Anna | 5–11 | 31.25% |
| lilbatti vs Feng | 8–7 | 53.33% |
| lilbatti vs Lee | 7–8 | 46.67% |
| lilbatti vs Leo | 4–8 | 33.33% |
| lilbatti vs Jack-8 | 4–7 | 36.36% |
| lilbatti vs Shaheen | 7–2 | 77.78% |
| lilbatti vs Zafina | 3–6 | 33.33% |
| lilbatti vs Lidia | 4–5 | 44.44% |
| lilbatti vs Miary Zo | 6–3 | 66.67% |
| lilbatti vs Leroy | 3–5 | 37.50% |
| lilbatti vs Kuma | 0–4 | 0.00% |
| lilbatti vs Panda | 0–4 | 0.00% |
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.