| iLuvCoffee vs King | 59–78 | 43.07% |
| iLuvCoffee vs Law | 50–65 | 43.48% |
| iLuvCoffee vs Kazuya | 47–64 | 42.34% |
| iLuvCoffee vs Bryan | 34–70 | 32.69% |
| iLuvCoffee vs Hwoarang | 33–68 | 32.67% |
| iLuvCoffee vs Steve | 51–47 | 52.04% |
| iLuvCoffee vs Fahkumram | 38–53 | 41.76% |
| iLuvCoffee vs Jin | 40–48 | 45.45% |
| iLuvCoffee vs Reina | 35–52 | 40.23% |
| iLuvCoffee vs Dragunov | 39–44 | 46.99% |
| iLuvCoffee vs Eddy | 25–47 | 34.72% |
| iLuvCoffee vs Yoshimitsu | 34–35 | 49.28% |
| iLuvCoffee vs Jun | 29–36 | 44.62% |
| iLuvCoffee vs Lars | 21–41 | 33.87% |
| iLuvCoffee vs Lee | 23–36 | 38.98% |
| iLuvCoffee vs Lili | 19–39 | 32.76% |
| iLuvCoffee vs Paul | 29–28 | 50.88% |
| iLuvCoffee vs Azucena | 23–31 | 42.59% |
| iLuvCoffee vs Feng | 14–32 | 30.43% |
| iLuvCoffee vs Asuka | 12–26 | 31.58% |
| iLuvCoffee vs Devil Jin | 11–25 | 30.56% |
| iLuvCoffee vs Xiaoyu | 14–20 | 41.18% |
| iLuvCoffee vs Leo | 15–19 | 44.12% |
| iLuvCoffee vs Jack-8 | 16–17 | 48.48% |
| iLuvCoffee vs Heihachi | 13–20 | 39.39% |
| iLuvCoffee vs Victor | 16–15 | 51.61% |
| iLuvCoffee vs Anna | 12–16 | 42.86% |
| iLuvCoffee vs Alisa | 11–16 | 40.74% |
| iLuvCoffee vs Nina | 11–15 | 42.31% |
| iLuvCoffee vs Lidia | 7–17 | 29.17% |
| iLuvCoffee vs Shaheen | 13–10 | 56.52% |
| iLuvCoffee vs Kuma | 8–13 | 38.10% |
| iLuvCoffee vs Leroy | 9–10 | 47.37% |
| iLuvCoffee vs Zafina | 5–13 | 27.78% |
| iLuvCoffee vs Raven | 7–11 | 38.89% |
| iLuvCoffee vs Clive | 7–10 | 41.18% |
| iLuvCoffee vs Panda | 5–10 | 33.33% |
| iLuvCoffee vs Claudio | 3–7 | 30.00% |
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.