| I Eat Lows vs Jin | 46–50 | 47.92% |
| I Eat Lows vs Reina | 45–39 | 53.57% |
| I Eat Lows vs Kazuya | 33–48 | 40.74% |
| I Eat Lows vs Heihachi | 31–43 | 41.89% |
| I Eat Lows vs King | 33–23 | 58.93% |
| I Eat Lows vs Dragunov | 26–24–1 | 52.00% |
| I Eat Lows vs Paul | 16–30 | 34.78% |
| I Eat Lows vs Jun | 26–20 | 56.52% |
| I Eat Lows vs Steve | 28–17 | 62.22% |
| I Eat Lows vs Asuka | 20–25 | 44.44% |
| I Eat Lows vs Law | 18–22 | 45.00% |
| I Eat Lows vs Lili | 15–23 | 39.47% |
| I Eat Lows vs Yoshimitsu | 21–16 | 56.76% |
| I Eat Lows vs Hwoarang | 10–27 | 27.03% |
| I Eat Lows vs Azucena | 14–22 | 38.89% |
| I Eat Lows vs Alisa | 13–20 | 39.39% |
| I Eat Lows vs Bryan | 16–16 | 50.00% |
| I Eat Lows vs Victor | 14–17 | 45.16% |
| I Eat Lows vs Leo | 9–15 | 37.50% |
| I Eat Lows vs Clive | 11–13 | 45.83% |
| I Eat Lows vs Jack-8 | 7–14 | 33.33% |
| I Eat Lows vs Eddy | 13–8 | 61.90% |
| I Eat Lows vs Lidia | 13–8 | 61.90% |
| I Eat Lows vs Devil Jin | 6–14 | 30.00% |
| I Eat Lows vs Lars | 9–9 | 50.00% |
| I Eat Lows vs Leroy | 7–11 | 38.89% |
| I Eat Lows vs Nina | 10–7 | 58.82% |
| I Eat Lows vs Feng | 1–14 | 6.67% |
| I Eat Lows vs Shaheen | 7–7 | 50.00% |
| I Eat Lows vs Lee | 4–10 | 28.57% |
| I Eat Lows vs Xiaoyu | 5–7 | 41.67% |
| I Eat Lows vs Claudio | 10–2 | 83.33% |
| I Eat Lows vs Kuma | 2–10 | 16.67% |
| I Eat Lows vs Raven | 2–3 | 40.00% |
| I Eat Lows vs Zafina | 3–1 | 75.00% |
| I Eat Lows vs Anna | 1–3 | 25.00% |
| I Eat Lows vs Panda | 2–0 | 100.00% |
| I Eat Lows vs Fahkumram | 2–0 | 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.