| ShamaLlama vs King | 52–59 | 46.85% |
| ShamaLlama vs Jin | 32–29 | 52.46% |
| ShamaLlama vs Reina | 31–22 | 58.49% |
| ShamaLlama vs Eddy | 27–25 | 51.92% |
| ShamaLlama vs Kazuya | 20–30 | 40.00% |
| ShamaLlama vs Steve | 18–26 | 40.91% |
| ShamaLlama vs Victor | 26–18 | 59.09% |
| ShamaLlama vs Azucena | 24–18 | 57.14% |
| ShamaLlama vs Jun | 18–21 | 46.15% |
| ShamaLlama vs Bryan | 15–23 | 39.47% |
| ShamaLlama vs Asuka | 16–22 | 42.11% |
| ShamaLlama vs Yoshimitsu | 15–21 | 41.67% |
| ShamaLlama vs Devil Jin | 14–16 | 46.67% |
| ShamaLlama vs Hwoarang | 9–19 | 32.14% |
| ShamaLlama vs Nina | 11–17 | 39.29% |
| ShamaLlama vs Paul | 12–14 | 46.15% |
| ShamaLlama vs Law | 6–20 | 23.08% |
| ShamaLlama vs Lili | 9–17 | 34.62% |
| ShamaLlama vs Feng | 10–15 | 40.00% |
| ShamaLlama vs Leo | 8–14 | 36.36% |
| ShamaLlama vs Lars | 10–12 | 45.45% |
| ShamaLlama vs Dragunov | 9–12 | 42.86% |
| ShamaLlama vs Kuma | 5–16 | 23.81% |
| ShamaLlama vs Leroy | 7–14 | 33.33% |
| ShamaLlama vs Xiaoyu | 7–13 | 35.00% |
| ShamaLlama vs Lee | 10–10 | 50.00% |
| ShamaLlama vs Raven | 11–5 | 68.75% |
| ShamaLlama vs Heihachi | 8–8 | 50.00% |
| ShamaLlama vs Alisa | 6–9 | 40.00% |
| ShamaLlama vs Clive | 5–8 | 38.46% |
| ShamaLlama vs Zafina | 7–4 | 63.64% |
| ShamaLlama vs Jack-8 | 4–5 | 44.44% |
| ShamaLlama vs Claudio | 4–2 | 66.67% |
| ShamaLlama vs Panda | 1–5 | 16.67% |
| ShamaLlama vs Shaheen | 1–4 | 20.00% |
| ShamaLlama vs Lidia | 1–3 | 25.00% |
| ShamaLlama vs Anna | 1–2 | 33.33% |
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.