| Ago-nashi vs King | 20–30 | 40.00% |
| Ago-nashi vs Hwoarang | 23–20 | 53.49% |
| Ago-nashi vs Kazuya | 25–18 | 58.14% |
| Ago-nashi vs Paul | 27–15 | 64.29% |
| Ago-nashi vs Jin | 20–16 | 55.56% |
| Ago-nashi vs Dragunov | 24–12 | 66.67% |
| Ago-nashi vs Bryan | 20–14 | 58.82% |
| Ago-nashi vs Devil Jin | 12–22 | 35.29% |
| Ago-nashi vs Yoshimitsu | 18–11 | 62.07% |
| Ago-nashi vs Steve | 11–18 | 37.93% |
| Ago-nashi vs Law | 13–12 | 52.00% |
| Ago-nashi vs Lili | 12–11 | 52.17% |
| Ago-nashi vs Reina | 12–11 | 52.17% |
| Ago-nashi vs Fahkumram | 10–13 | 43.48% |
| Ago-nashi vs Lars | 12–7 | 63.16% |
| Ago-nashi vs Nina | 8–11 | 42.11% |
| Ago-nashi vs Asuka | 12–6 | 66.67% |
| Ago-nashi vs Heihachi | 8–7 | 53.33% |
| Ago-nashi vs Azucena | 8–6 | 57.14% |
| Ago-nashi vs Shaheen | 6–7 | 46.15% |
| Ago-nashi vs Victor | 7–6 | 53.85% |
| Ago-nashi vs Jun | 6–6 | 50.00% |
| Ago-nashi vs Lidia | 5–6 | 45.45% |
| Ago-nashi vs Leo | 10–0 | 100.00% |
| Ago-nashi vs Alisa | 5–5 | 50.00% |
| Ago-nashi vs Xiaoyu | 5–4 | 55.56% |
| Ago-nashi vs Feng | 4–5 | 44.44% |
| Ago-nashi vs Lee | 5–4 | 55.56% |
| Ago-nashi vs Clive | 2–7 | 22.22% |
| Ago-nashi vs Leroy | 3–5 | 37.50% |
| Ago-nashi vs Claudio | 3–4 | 42.86% |
| Ago-nashi vs Jack-8 | 4–2 | 66.67% |
| Ago-nashi vs Eddy | 4–2 | 66.67% |
| Ago-nashi vs Armor King | 2–4 | 33.33% |
| Ago-nashi vs Raven | 3–2 | 60.00% |
| Ago-nashi vs Anna | 1–1 | 50.00% |
| Ago-nashi vs Kuma | 0–1 | 0.00% |
| Ago-nashi vs Zafina | 0–1 | 0.00% |
| Ago-nashi vs Miary Zo | 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.