| Srinivasa vs King | 27–38 | 41.54% |
| Srinivasa vs Kazuya | 16–26 | 38.10% |
| Srinivasa vs Armor King | 17–20 | 45.95% |
| Srinivasa vs Steve | 23–11 | 67.65% |
| Srinivasa vs Jin | 7–23 | 23.33% |
| Srinivasa vs Asuka | 12–10 | 54.55% |
| Srinivasa vs Devil Jin | 7–15 | 31.82% |
| Srinivasa vs Azucena | 13–9 | 59.09% |
| Srinivasa vs Lili | 9–11 | 45.00% |
| Srinivasa vs Dragunov | 8–8 | 50.00% |
| Srinivasa vs Heihachi | 4–12 | 25.00% |
| Srinivasa vs Bryan | 4–11 | 26.67% |
| Srinivasa vs Lee | 4–11 | 26.67% |
| Srinivasa vs Reina | 4–11 | 26.67% |
| Srinivasa vs Victor | 10–3 | 76.92% |
| Srinivasa vs Eddy | 7–4 | 63.64% |
| Srinivasa vs Yoshimitsu | 3–7 | 30.00% |
| Srinivasa vs Leroy | 5–5 | 50.00% |
| Srinivasa vs Law | 4–5 | 44.44% |
| Srinivasa vs Lars | 4–4 | 50.00% |
| Srinivasa vs Miary Zo | 2–6 | 25.00% |
| Srinivasa vs Shaheen | 1–6 | 14.29% |
| Srinivasa vs Nina | 3–4 | 42.86% |
| Srinivasa vs Hwoarang | 1–5 | 16.67% |
| Srinivasa vs Jack-8 | 0–6 | 0.00% |
| Srinivasa vs Feng | 1–5 | 16.67% |
| Srinivasa vs Fahkumram | 3–3 | 50.00% |
| Srinivasa vs Lidia | 1–4 | 20.00% |
| Srinivasa vs Leo | 1–3 | 25.00% |
| Srinivasa vs Kuma | 3–1 | 75.00% |
| Srinivasa vs Jun | 1–3 | 25.00% |
| Srinivasa vs Clive | 2–2 | 50.00% |
| Srinivasa vs Paul | 1–2 | 33.33% |
| Srinivasa vs Xiaoyu | 2–1 | 66.67% |
| Srinivasa vs Alisa | 0–2 | 0.00% |
| Srinivasa vs Panda | 0–2 | 0.00% |
| Srinivasa vs Zafina | 2–0 | 100.00% |
| Srinivasa vs Claudio | 1–0 | 100.00% |
| Srinivasa vs Raven | 1–0 | 100.00% |
| Srinivasa vs Anna | 1–0 | 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.