| SaBeR vs Jin | 17–18 | 48.57% |
| SaBeR vs Hwoarang | 23–10 | 69.70% |
| SaBeR vs Kazuya | 19–9 | 67.86% |
| SaBeR vs King | 17–6 | 73.91% |
| SaBeR vs Lili | 17–4 | 80.95% |
| SaBeR vs Bryan | 15–2 | 88.24% |
| SaBeR vs Clive | 14–1 | 93.33% |
| SaBeR vs Asuka | 12–2 | 85.71% |
| SaBeR vs Feng | 12–2 | 85.71% |
| SaBeR vs Armor King | 10–4 | 71.43% |
| SaBeR vs Lars | 10–3 | 76.92% |
| SaBeR vs Paul | 8–4 | 66.67% |
| SaBeR vs Steve | 7–5 | 58.33% |
| SaBeR vs Nina | 7–3 | 70.00% |
| SaBeR vs Zafina | 6–4 | 60.00% |
| SaBeR vs Reina | 9–1 | 90.00% |
| SaBeR vs Heihachi | 7–3 | 70.00% |
| SaBeR vs Dragunov | 7–2 | 77.78% |
| SaBeR vs Lee | 6–3 | 66.67% |
| SaBeR vs Azucena | 5–4 | 55.56% |
| SaBeR vs Yoshimitsu | 5–3 | 62.50% |
| SaBeR vs Kuma | 6–2 | 75.00% |
| SaBeR vs Alisa | 5–2 | 71.43% |
| SaBeR vs Law | 2–4 | 33.33% |
| SaBeR vs Xiaoyu | 5–0 | 100.00% |
| SaBeR vs Jun | 2–3 | 40.00% |
| SaBeR vs Jack-8 | 3–1 | 75.00% |
| SaBeR vs Victor | 2–2 | 50.00% |
| SaBeR vs Claudio | 3–0 | 100.00% |
| SaBeR vs Shaheen | 3–0 | 100.00% |
| SaBeR vs Leroy | 3–0 | 100.00% |
| SaBeR vs Raven | 3–0 | 100.00% |
| SaBeR vs Eddy | 3–0 | 100.00% |
| SaBeR vs Devil Jin | 2–0 | 100.00% |
| SaBeR vs Leo | 2–0 | 100.00% |
| SaBeR vs Fahkumram | 2–0 | 100.00% |
| SaBeR vs Anna | 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.