| Meatball vs Heihachi | 45–48 | 48.39% |
| Meatball vs Reina | 54–29 | 65.06% |
| Meatball vs Hwoarang | 54–26 | 67.50% |
| Meatball vs King | 34–43 | 44.16% |
| Meatball vs Jin | 43–34 | 55.84% |
| Meatball vs Steve | 40–26 | 60.61% |
| Meatball vs Kazuya | 37–26 | 58.73% |
| Meatball vs Law | 26–28 | 48.15% |
| Meatball vs Bryan | 24–28 | 46.15% |
| Meatball vs Dragunov | 21–18 | 53.85% |
| Meatball vs Asuka | 19–18 | 51.35% |
| Meatball vs Nina | 19–18 | 51.35% |
| Meatball vs Lars | 17–17 | 50.00% |
| Meatball vs Victor | 21–13 | 61.76% |
| Meatball vs Azucena | 23–9 | 71.88% |
| Meatball vs Armor King | 14–18 | 43.75% |
| Meatball vs Lili | 16–15 | 51.61% |
| Meatball vs Jun | 15–16 | 48.39% |
| Meatball vs Yoshimitsu | 13–17 | 43.33% |
| Meatball vs Raven | 13–15 | 46.43% |
| Meatball vs Lee | 18–9 | 66.67% |
| Meatball vs Eddy | 20–7 | 74.07% |
| Meatball vs Clive | 14–12 | 53.85% |
| Meatball vs Paul | 7–18 | 28.00% |
| Meatball vs Devil Jin | 10–15 | 40.00% |
| Meatball vs Leroy | 14–8 | 63.64% |
| Meatball vs Xiaoyu | 12–7 | 63.16% |
| Meatball vs Jack-8 | 9–10 | 47.37% |
| Meatball vs Shaheen | 11–8 | 57.89% |
| Meatball vs Lidia | 9–10 | 47.37% |
| Meatball vs Feng | 6–9 | 40.00% |
| Meatball vs Claudio | 10–5 | 66.67% |
| Meatball vs Leo | 3–11 | 21.43% |
| Meatball vs Alisa | 8–5 | 61.54% |
| Meatball vs Kuma | 5–6 | 45.45% |
| Meatball vs Zafina | 7–4 | 63.64% |
| Meatball vs Fahkumram | 2–6 | 25.00% |
| Meatball vs Anna | 0–7 | 0.00% |
| Meatball vs Miary Zo | 2–4 | 33.33% |
| Meatball vs Panda | 4–1 | 80.00% |
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.