| SINGKONG vs Bryan | 51–47 | 52.04% |
| SINGKONG vs Steve | 43–45 | 48.86% |
| SINGKONG vs Armor King | 38–48 | 44.19% |
| SINGKONG vs Jin | 38–47 | 44.71% |
| SINGKONG vs Kazuya | 31–51 | 37.80% |
| SINGKONG vs Law | 30–31 | 49.18% |
| SINGKONG vs Reina | 27–31 | 46.55% |
| SINGKONG vs Dragunov | 29–26 | 52.73% |
| SINGKONG vs Lili | 21–33 | 38.89% |
| SINGKONG vs Asuka | 18–29 | 38.30% |
| SINGKONG vs Devil Jin | 18–23 | 43.90% |
| SINGKONG vs King | 18–13 | 58.06% |
| SINGKONG vs Heihachi | 16–12 | 57.14% |
| SINGKONG vs Hwoarang | 11–14 | 44.00% |
| SINGKONG vs Jun | 13–12 | 52.00% |
| SINGKONG vs Yoshimitsu | 15–9 | 62.50% |
| SINGKONG vs Fahkumram | 3–21 | 12.50% |
| SINGKONG vs Eddy | 13–10 | 56.52% |
| SINGKONG vs Lidia | 9–13 | 40.91% |
| SINGKONG vs Nina | 4–17 | 19.05% |
| SINGKONG vs Lee | 11–10 | 52.38% |
| SINGKONG vs Alisa | 8–12 | 40.00% |
| SINGKONG vs Leroy | 6–14 | 30.00% |
| SINGKONG vs Xiaoyu | 7–11 | 38.89% |
| SINGKONG vs Lars | 11–7 | 61.11% |
| SINGKONG vs Leo | 10–6 | 62.50% |
| SINGKONG vs Shaheen | 7–9 | 43.75% |
| SINGKONG vs Raven | 8–8 | 50.00% |
| SINGKONG vs Victor | 9–6 | 60.00% |
| SINGKONG vs Paul | 8–5 | 61.54% |
| SINGKONG vs Clive | 7–6 | 53.85% |
| SINGKONG vs Jack-8 | 7–4 | 63.64% |
| SINGKONG vs Feng | 7–4 | 63.64% |
| SINGKONG vs Claudio | 1–10 | 9.09% |
| SINGKONG vs Azucena | 3–6 | 33.33% |
| SINGKONG vs Miary Zo | 4–5 | 44.44% |
| SINGKONG vs Kuma | 1–4 | 20.00% |
| SINGKONG vs Zafina | 2–0 | 100.00% |
| SINGKONG vs Anna | 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.