| ThornIvy vs Armor King | 62–61 | 50.41% |
| ThornIvy vs Kazuya | 57–46 | 55.34% |
| ThornIvy vs Jin | 47–43 | 52.22% |
| ThornIvy vs King | 48–38 | 55.81% |
| ThornIvy vs Law | 44–30 | 59.46% |
| ThornIvy vs Heihachi | 39–32 | 54.93% |
| ThornIvy vs Reina | 32–38 | 45.71% |
| ThornIvy vs Paul | 31–28 | 52.54% |
| ThornIvy vs Bryan | 30–27 | 52.63% |
| ThornIvy vs Steve | 31–26 | 54.39% |
| ThornIvy vs Lars | 27–30 | 47.37% |
| ThornIvy vs Yoshimitsu | 26–29 | 47.27% |
| ThornIvy vs Dragunov | 23–29 | 44.23% |
| ThornIvy vs Hwoarang | 26–25 | 50.98% |
| ThornIvy vs Jun | 21–27 | 43.75% |
| ThornIvy vs Eddy | 28–20 | 58.33% |
| ThornIvy vs Azucena | 17–29 | 36.96% |
| ThornIvy vs Lili | 18–26 | 40.91% |
| ThornIvy vs Lidia | 19–23 | 45.24% |
| ThornIvy vs Clive | 24–17 | 58.54% |
| ThornIvy vs Nina | 18–15 | 54.55% |
| ThornIvy vs Lee | 13–19 | 40.62% |
| ThornIvy vs Fahkumram | 18–14 | 56.25% |
| ThornIvy vs Alisa | 14–17 | 45.16% |
| ThornIvy vs Devil Jin | 13–17 | 43.33% |
| ThornIvy vs Feng | 16–14 | 53.33% |
| ThornIvy vs Xiaoyu | 13–12 | 52.00% |
| ThornIvy vs Miary Zo | 15–10 | 60.00% |
| ThornIvy vs Asuka | 21–1 | 95.45% |
| ThornIvy vs Leroy | 7–15 | 31.82% |
| ThornIvy vs Victor | 7–14 | 33.33% |
| ThornIvy vs Jack-8 | 5–13 | 27.78% |
| ThornIvy vs Raven | 7–11 | 38.89% |
| ThornIvy vs Claudio | 7–8 | 46.67% |
| ThornIvy vs Shaheen | 4–11 | 26.67% |
| ThornIvy vs Zafina | 7–7 | 50.00% |
| ThornIvy vs Leo | 9–3 | 75.00% |
| ThornIvy vs Anna | 8–4 | 66.67% |
| ThornIvy vs Kuma | 2–3 | 40.00% |
| ThornIvy vs Panda | 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.