| iEatCandles vs Kazuya | 16–7 | 69.57% |
| iEatCandles vs Jin | 10–5 | 66.67% |
| iEatCandles vs Lee | 7–4 | 63.64% |
| iEatCandles vs Eddy | 3–8 | 27.27% |
| iEatCandles vs Hwoarang | 5–5 | 50.00% |
| iEatCandles vs Bryan | 3–7 | 30.00% |
| iEatCandles vs Reina | 6–4 | 60.00% |
| iEatCandles vs Lars | 7–2 | 77.78% |
| iEatCandles vs Jun | 4–5 | 44.44% |
| iEatCandles vs Victor | 4–5 | 44.44% |
| iEatCandles vs Steve | 6–2 | 75.00% |
| iEatCandles vs Devil Jin | 4–4 | 50.00% |
| iEatCandles vs Zafina | 4–4 | 50.00% |
| iEatCandles vs Azucena | 6–2 | 75.00% |
| iEatCandles vs Law | 4–3 | 57.14% |
| iEatCandles vs King | 6–1 | 85.71% |
| iEatCandles vs Yoshimitsu | 4–3 | 57.14% |
| iEatCandles vs Leo | 2–3 | 40.00% |
| iEatCandles vs Claudio | 3–2 | 60.00% |
| iEatCandles vs Heihachi | 4–1 | 80.00% |
| iEatCandles vs Asuka | 2–2 | 50.00% |
| iEatCandles vs Lili | 0–4 | 0.00% |
| iEatCandles vs Alisa | 2–2 | 50.00% |
| iEatCandles vs Shaheen | 4–0 | 100.00% |
| iEatCandles vs Xiaoyu | 1–2 | 33.33% |
| iEatCandles vs Dragunov | 3–0 | 100.00% |
| iEatCandles vs Paul | 0–2 | 0.00% |
| iEatCandles vs Kuma | 2–0 | 100.00% |
| iEatCandles vs Feng | 1–0 | 100.00% |
| iEatCandles vs Nina | 1–0 | 100.00% |
| iEatCandles vs Leroy | 1–0 | 100.00% |
| iEatCandles vs Raven | 1–0 | 100.00% |
| iEatCandles vs Clive | 1–0 | 100.00% |
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.