| 2am IN Dekalb vs King | 34–9 | 79.07% |
| 2am IN Dekalb vs Jin | 25–15 | 62.50% |
| 2am IN Dekalb vs Kazuya | 22–17 | 56.41% |
| 2am IN Dekalb vs Law | 14–22 | 38.89% |
| 2am IN Dekalb vs Hwoarang | 14–21 | 40.00% |
| 2am IN Dekalb vs Dragunov | 12–16 | 42.86% |
| 2am IN Dekalb vs Paul | 18–9 | 66.67% |
| 2am IN Dekalb vs Armor King | 12–15 | 44.44% |
| 2am IN Dekalb vs Bryan | 10–13 | 43.48% |
| 2am IN Dekalb vs Eddy | 14–9 | 60.87% |
| 2am IN Dekalb vs Reina | 15–7 | 68.18% |
| 2am IN Dekalb vs Lidia | 6–13 | 31.58% |
| 2am IN Dekalb vs Heihachi | 5–14 | 26.32% |
| 2am IN Dekalb vs Miary Zo | 9–10 | 47.37% |
| 2am IN Dekalb vs Steve | 10–6 | 62.50% |
| 2am IN Dekalb vs Raven | 10–6 | 62.50% |
| 2am IN Dekalb vs Lili | 7–8 | 46.67% |
| 2am IN Dekalb vs Lee | 11–4 | 73.33% |
| 2am IN Dekalb vs Victor | 8–7 | 53.33% |
| 2am IN Dekalb vs Nina | 8–6 | 57.14% |
| 2am IN Dekalb vs Fahkumram | 7–7 | 50.00% |
| 2am IN Dekalb vs Alisa | 5–6 | 45.45% |
| 2am IN Dekalb vs Azucena | 10–1 | 90.91% |
| 2am IN Dekalb vs Leo | 5–5 | 50.00% |
| 2am IN Dekalb vs Asuka | 5–4 | 55.56% |
| 2am IN Dekalb vs Devil Jin | 6–3 | 66.67% |
| 2am IN Dekalb vs Feng | 5–4 | 55.56% |
| 2am IN Dekalb vs Xiaoyu | 3–5 | 37.50% |
| 2am IN Dekalb vs Jack-8 | 2–6 | 25.00% |
| 2am IN Dekalb vs Lars | 6–2 | 75.00% |
| 2am IN Dekalb vs Yoshimitsu | 4–3 | 57.14% |
| 2am IN Dekalb vs Zafina | 6–1 | 85.71% |
| 2am IN Dekalb vs Leroy | 5–2 | 71.43% |
| 2am IN Dekalb vs Clive | 5–2 | 71.43% |
| 2am IN Dekalb vs Anna | 3–3 | 50.00% |
| 2am IN Dekalb vs Jun | 3–2 | 60.00% |
| 2am IN Dekalb vs Claudio | 0–2 | 0.00% |
| 2am IN Dekalb vs Shaheen | 2–0 | 100.00% |
| 2am IN Dekalb vs Panda | 1–1 | 50.00% |
| 2am IN Dekalb vs Kuma | 0–1 | 0.00% |
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.