| Caliber5 vs Jin | 19–26 | 42.22% |
| Caliber5 vs Bryan | 25–14 | 64.10% |
| Caliber5 vs King | 18–15 | 54.55% |
| Caliber5 vs Jun | 15–12 | 55.56% |
| Caliber5 vs Lili | 15–11 | 57.69% |
| Caliber5 vs Lee | 14–11 | 56.00% |
| Caliber5 vs Law | 16–8 | 66.67% |
| Caliber5 vs Kazuya | 16–8 | 66.67% |
| Caliber5 vs Steve | 14–10 | 58.33% |
| Caliber5 vs Jack-8 | 14–10 | 58.33% |
| Caliber5 vs Dragunov | 15–7 | 68.18% |
| Caliber5 vs Xiaoyu | 9–12 | 42.86% |
| Caliber5 vs Hwoarang | 9–11 | 45.00% |
| Caliber5 vs Kuma | 12–7 | 63.16% |
| Caliber5 vs Victor | 12–7 | 63.16% |
| Caliber5 vs Yoshimitsu | 12–6 | 66.67% |
| Caliber5 vs Feng | 13–5 | 72.22% |
| Caliber5 vs Azucena | 9–9 | 50.00% |
| Caliber5 vs Reina | 11–6 | 64.71% |
| Caliber5 vs Paul | 8–7 | 53.33% |
| Caliber5 vs Alisa | 9–5 | 64.29% |
| Caliber5 vs Leroy | 5–5 | 50.00% |
| Caliber5 vs Shaheen | 3–6 | 33.33% |
| Caliber5 vs Eddy | 6–3 | 66.67% |
| Caliber5 vs Clive | 3–5 | 37.50% |
| Caliber5 vs Asuka | 5–2 | 71.43% |
| Caliber5 vs Nina | 7–0 | 100.00% |
| Caliber5 vs Zafina | 2–5 | 28.57% |
| Caliber5 vs Lars | 4–1 | 80.00% |
| Caliber5 vs Panda | 2–3 | 40.00% |
| Caliber5 vs Raven | 1–4 | 20.00% |
| Caliber5 vs Devil Jin | 2–2 | 50.00% |
| Caliber5 vs Lidia | 4–0 | 100.00% |
| Caliber5 vs Leo | 1–2 | 33.33% |
| Caliber5 vs Claudio | 1–2 | 33.33% |
| Caliber5 vs Heihachi | 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.