| JIGSAW vs Dragunov | 48–79 | 37.80% |
| JIGSAW vs Reina | 68–48 | 58.62% |
| JIGSAW vs King | 59–48 | 55.14% |
| JIGSAW vs Kazuya | 56–49 | 53.33% |
| JIGSAW vs Hwoarang | 48–48 | 50.00% |
| JIGSAW vs Bryan | 52–41 | 55.91% |
| JIGSAW vs Paul | 41–48 | 46.07% |
| JIGSAW vs Jin | 44–34 | 56.41% |
| JIGSAW vs Lili | 52–24 | 68.42% |
| JIGSAW vs Azucena | 39–31 | 55.71% |
| JIGSAW vs Asuka | 36–33 | 52.17% |
| JIGSAW vs Law | 30–37 | 44.78% |
| JIGSAW vs Steve | 31–27 | 53.45% |
| JIGSAW vs Yoshimitsu | 25–31 | 44.64% |
| JIGSAW vs Victor | 24–32 | 42.86% |
| JIGSAW vs Leo | 42–10 | 80.77% |
| JIGSAW vs Nina | 27–23 | 54.00% |
| JIGSAW vs Lidia | 25–21 | 54.35% |
| JIGSAW vs Leroy | 17–27 | 38.64% |
| JIGSAW vs Jun | 21–22 | 48.84% |
| JIGSAW vs Devil Jin | 19–22 | 46.34% |
| JIGSAW vs Heihachi | 24–15 | 61.54% |
| JIGSAW vs Jack-8 | 10–26 | 27.78% |
| JIGSAW vs Feng | 15–21 | 41.67% |
| JIGSAW vs Xiaoyu | 16–19 | 45.71% |
| JIGSAW vs Claudio | 15–20 | 42.86% |
| JIGSAW vs Lee | 17–15 | 53.12% |
| JIGSAW vs Shaheen | 13–17 | 43.33% |
| JIGSAW vs Alisa | 15–14 | 51.72% |
| JIGSAW vs Eddy | 10–17 | 37.04% |
| JIGSAW vs Fahkumram | 12–15 | 44.44% |
| JIGSAW vs Lars | 19–7 | 73.08% |
| JIGSAW vs Raven | 12–14 | 46.15% |
| JIGSAW vs Clive | 8–11 | 42.11% |
| JIGSAW vs Anna | 11–5 | 68.75% |
| JIGSAW vs Zafina | 5–10 | 33.33% |
| JIGSAW vs Kuma | 6–7 | 46.15% |
| JIGSAW vs Panda | 8–4 | 66.67% |
| JIGSAW vs Armor King | 4–7 | 36.36% |
| JIGSAW vs Miary Zo | 0–1 | 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.