| FRACT10N vs Bryan | 130–178 | 42.21% |
| FRACT10N vs Kazuya | 116–142 | 44.96% |
| FRACT10N vs King | 139–118 | 54.09% |
| FRACT10N vs Jin | 134–111 | 54.69% |
| FRACT10N vs Steve | 108–136 | 44.26% |
| FRACT10N vs Hwoarang | 74–77 | 49.01% |
| FRACT10N vs Yoshimitsu | 62–80 | 43.66% |
| FRACT10N vs Law | 81–60 | 57.45% |
| FRACT10N vs Lee | 61–62 | 49.59% |
| FRACT10N vs Dragunov | 60–58 | 50.85% |
| FRACT10N vs Heihachi | 53–65 | 44.92% |
| FRACT10N vs Paul | 38–77 | 33.04% |
| FRACT10N vs Devil Jin | 38–54 | 41.30% |
| FRACT10N vs Lars | 37–53 | 41.11% |
| FRACT10N vs Reina | 40–47 | 45.98% |
| FRACT10N vs Victor | 35–39 | 47.30% |
| FRACT10N vs Nina | 38–35 | 52.05% |
| FRACT10N vs Lili | 29–41 | 41.43% |
| FRACT10N vs Feng | 29–34 | 46.03% |
| FRACT10N vs Eddy | 32–30 | 51.61% |
| FRACT10N vs Jun | 33–27 | 55.00% |
| FRACT10N vs Alisa | 26–27 | 49.06% |
| FRACT10N vs Asuka | 12–36 | 25.00% |
| FRACT10N vs Xiaoyu | 22–23 | 48.89% |
| FRACT10N vs Lidia | 15–30 | 33.33% |
| FRACT10N vs Leo | 28–15 | 65.12% |
| FRACT10N vs Kuma | 13–30 | 30.23% |
| FRACT10N vs Leroy | 17–26 | 39.53% |
| FRACT10N vs Azucena | 23–20 | 53.49% |
| FRACT10N vs Claudio | 11–26 | 29.73% |
| FRACT10N vs Raven | 22–14 | 61.11% |
| FRACT10N vs Jack-8 | 10–21 | 32.26% |
| FRACT10N vs Fahkumram | 12–13 | 48.00% |
| FRACT10N vs Shaheen | 8–16 | 33.33% |
| FRACT10N vs Zafina | 5–11 | 31.25% |
| FRACT10N vs Clive | 6–9 | 40.00% |
| FRACT10N vs Armor King | 4–10 | 28.57% |
| FRACT10N vs Panda | 7–3 | 70.00% |
| FRACT10N vs Anna | 0–2 | 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.