| IvyToCold vs Kazuya | 99–86 | 53.51% |
| IvyToCold vs Bryan | 60–62 | 49.18% |
| IvyToCold vs King | 66–52 | 55.93% |
| IvyToCold vs Hwoarang | 64–48 | 57.14% |
| IvyToCold vs Jin | 69–39 | 63.89% |
| IvyToCold vs Reina | 67–36 | 65.05% |
| IvyToCold vs Steve | 44–53 | 45.36% |
| IvyToCold vs Heihachi | 55–38 | 59.14% |
| IvyToCold vs Azucena | 54–27 | 66.67% |
| IvyToCold vs Lars | 37–41 | 47.44% |
| IvyToCold vs Law | 34–39 | 46.58% |
| IvyToCold vs Lee | 38–33 | 53.52% |
| IvyToCold vs Paul | 29–39 | 42.65% |
| IvyToCold vs Devil Jin | 45–23 | 66.18% |
| IvyToCold vs Lili | 30–34 | 46.88% |
| IvyToCold vs Dragunov | 35–25 | 58.33% |
| IvyToCold vs Yoshimitsu | 30–28 | 51.72% |
| IvyToCold vs Fahkumram | 32–21 | 60.38% |
| IvyToCold vs Xiaoyu | 27–21 | 56.25% |
| IvyToCold vs Eddy | 25–23 | 52.08% |
| IvyToCold vs Lidia | 23–23 | 50.00% |
| IvyToCold vs Nina | 25–19 | 56.82% |
| IvyToCold vs Leo | 29–14 | 67.44% |
| IvyToCold vs Anna | 20–21 | 48.78% |
| IvyToCold vs Asuka | 24–16 | 60.00% |
| IvyToCold vs Raven | 20–19 | 51.28% |
| IvyToCold vs Jun | 17–21 | 44.74% |
| IvyToCold vs Victor | 21–16 | 56.76% |
| IvyToCold vs Feng | 19–15 | 55.88% |
| IvyToCold vs Armor King | 13–20 | 39.39% |
| IvyToCold vs Leroy | 13–15 | 46.43% |
| IvyToCold vs Alisa | 11–12 | 47.83% |
| IvyToCold vs Shaheen | 11–12 | 47.83% |
| IvyToCold vs Jack-8 | 13–9 | 59.09% |
| IvyToCold vs Clive | 13–5 | 72.22% |
| IvyToCold vs Kuma | 12–5 | 70.59% |
| IvyToCold vs Claudio | 12–3 | 80.00% |
| IvyToCold vs Zafina | 10–5 | 66.67% |
| IvyToCold vs Miary Zo | 5–9 | 35.71% |
| IvyToCold vs Panda | 6–3 | 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.