| SAGOEMON vs Reina | 31–19 | 62.00% |
| SAGOEMON vs Lili | 17–29 | 36.96% |
| SAGOEMON vs Asuka | 19–18 | 51.35% |
| SAGOEMON vs Jin | 17–19 | 47.22% |
| SAGOEMON vs Kazuya | 26–10 | 72.22% |
| SAGOEMON vs King | 17–16 | 51.52% |
| SAGOEMON vs Steve | 16–17 | 48.48% |
| SAGOEMON vs Paul | 11–18 | 37.93% |
| SAGOEMON vs Hwoarang | 9–19 | 32.14% |
| SAGOEMON vs Azucena | 14–13 | 51.85% |
| SAGOEMON vs Dragunov | 15–11 | 57.69% |
| SAGOEMON vs Jun | 12–14 | 46.15% |
| SAGOEMON vs Xiaoyu | 7–14 | 33.33% |
| SAGOEMON vs Feng | 10–11 | 47.62% |
| SAGOEMON vs Alisa | 11–10 | 52.38% |
| SAGOEMON vs Victor | 8–12 | 40.00% |
| SAGOEMON vs Claudio | 5–13 | 27.78% |
| SAGOEMON vs Leroy | 4–14 | 22.22% |
| SAGOEMON vs Law | 10–7 | 58.82% |
| SAGOEMON vs Lars | 6–11 | 35.29% |
| SAGOEMON vs Bryan | 7–9 | 43.75% |
| SAGOEMON vs Eddy | 5–10 | 33.33% |
| SAGOEMON vs Devil Jin | 6–8 | 42.86% |
| SAGOEMON vs Yoshimitsu | 6–6 | 50.00% |
| SAGOEMON vs Leo | 3–5 | 37.50% |
| SAGOEMON vs Nina | 6–2 | 75.00% |
| SAGOEMON vs Shaheen | 4–2 | 66.67% |
| SAGOEMON vs Zafina | 2–4 | 33.33% |
| SAGOEMON vs Fahkumram | 4–2 | 66.67% |
| SAGOEMON vs Panda | 2–3 | 40.00% |
| SAGOEMON vs Jack-8 | 3–1 | 75.00% |
| SAGOEMON vs Lidia | 2–2 | 50.00% |
| SAGOEMON vs Lee | 1–1 | 50.00% |
| SAGOEMON vs Anna | 2–0 | 100.00% |
| SAGOEMON 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.