| Slicepad_927 vs King | 45–61 | 42.45% |
| Slicepad_927 vs Kazuya | 51–54 | 48.57% |
| Slicepad_927 vs Bryan | 58–41 | 58.59% |
| Slicepad_927 vs Hwoarang | 48–40 | 54.55% |
| Slicepad_927 vs Law | 43–42 | 50.59% |
| Slicepad_927 vs Jin | 41–41 | 50.00% |
| Slicepad_927 vs Reina | 43–37 | 53.75% |
| Slicepad_927 vs Steve | 37–38 | 49.33% |
| Slicepad_927 vs Yoshimitsu | 26–38 | 40.62% |
| Slicepad_927 vs Lee | 39–25 | 60.94% |
| Slicepad_927 vs Paul | 26–33 | 44.07% |
| Slicepad_927 vs Lars | 24–29 | 45.28% |
| Slicepad_927 vs Eddy | 22–30 | 42.31% |
| Slicepad_927 vs Lili | 23–27 | 46.00% |
| Slicepad_927 vs Dragunov | 27–23 | 54.00% |
| Slicepad_927 vs Asuka | 21–25 | 45.65% |
| Slicepad_927 vs Feng | 21–23 | 47.73% |
| Slicepad_927 vs Azucena | 16–28 | 36.36% |
| Slicepad_927 vs Victor | 33–11 | 75.00% |
| Slicepad_927 vs Nina | 19–22 | 46.34% |
| Slicepad_927 vs Jun | 24–16 | 60.00% |
| Slicepad_927 vs Raven | 20–19 | 51.28% |
| Slicepad_927 vs Xiaoyu | 23–14 | 62.16% |
| Slicepad_927 vs Jack-8 | 19–18 | 51.35% |
| Slicepad_927 vs Leo | 17–16 | 51.52% |
| Slicepad_927 vs Devil Jin | 13–18 | 41.94% |
| Slicepad_927 vs Alisa | 19–12 | 61.29% |
| Slicepad_927 vs Claudio | 11–12 | 47.83% |
| Slicepad_927 vs Heihachi | 10–12 | 45.45% |
| Slicepad_927 vs Zafina | 8–11 | 42.11% |
| Slicepad_927 vs Fahkumram | 12–7 | 63.16% |
| Slicepad_927 vs Leroy | 9–8 | 52.94% |
| Slicepad_927 vs Kuma | 8–8 | 50.00% |
| Slicepad_927 vs Lidia | 3–9 | 25.00% |
| Slicepad_927 vs Shaheen | 6–5 | 54.55% |
| Slicepad_927 vs Clive | 5–6 | 45.45% |
| Slicepad_927 vs Panda | 3–4 | 42.86% |
| Slicepad_927 vs Anna | 2–1 | 66.67% |
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.