| SIFU1988 vs Kazuya | 49–57 | 46.23% |
| SIFU1988 vs King | 45–57 | 44.12% |
| SIFU1988 vs Hwoarang | 45–55 | 45.00% |
| SIFU1988 vs Jin | 53–46 | 53.54% |
| SIFU1988 vs Law | 34–45 | 43.04% |
| SIFU1988 vs Eddy | 26–46 | 36.11% |
| SIFU1988 vs Bryan | 31–38 | 44.93% |
| SIFU1988 vs Azucena | 35–33 | 51.47% |
| SIFU1988 vs Yoshimitsu | 29–38 | 43.28% |
| SIFU1988 vs Paul | 24–39 | 38.10% |
| SIFU1988 vs Heihachi | 23–36 | 38.98% |
| SIFU1988 vs Lee | 20–37 | 35.09% |
| SIFU1988 vs Steve | 33–21 | 61.11% |
| SIFU1988 vs Jun | 26–25 | 50.98% |
| SIFU1988 vs Reina | 18–26 | 40.91% |
| SIFU1988 vs Dragunov | 17–26 | 39.53% |
| SIFU1988 vs Victor | 19–23 | 45.24% |
| SIFU1988 vs Devil Jin | 17–24 | 41.46% |
| SIFU1988 vs Lili | 15–22 | 40.54% |
| SIFU1988 vs Feng | 11–25 | 30.56% |
| SIFU1988 vs Lars | 8–24 | 25.00% |
| SIFU1988 vs Asuka | 11–19 | 36.67% |
| SIFU1988 vs Nina | 16–11 | 59.26% |
| SIFU1988 vs Xiaoyu | 9–17 | 34.62% |
| SIFU1988 vs Leo | 9–17 | 34.62% |
| SIFU1988 vs Alisa | 12–12 | 50.00% |
| SIFU1988 vs Raven | 9–15 | 37.50% |
| SIFU1988 vs Miary Zo | 10–11 | 47.62% |
| SIFU1988 vs Claudio | 11–8 | 57.89% |
| SIFU1988 vs Armor King | 7–7 | 50.00% |
| SIFU1988 vs Jack-8 | 7–6 | 53.85% |
| SIFU1988 vs Kuma | 3–7 | 30.00% |
| SIFU1988 vs Leroy | 4–6 | 40.00% |
| SIFU1988 vs Fahkumram | 6–3 | 66.67% |
| SIFU1988 vs Zafina | 1–7 | 12.50% |
| SIFU1988 vs Lidia | 3–4 | 42.86% |
| SIFU1988 vs Shaheen | 2–4 | 33.33% |
| SIFU1988 vs Clive | 1–3 | 25.00% |
| SIFU1988 vs Anna | 1–2 | 33.33% |
| SIFU1988 vs Panda | 0–2 | 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.