| SwagDaddy vs Kazuya | 76–56 | 57.58% |
| SwagDaddy vs Jin | 71–50 | 58.68% |
| SwagDaddy vs Bryan | 44–59 | 42.72% |
| SwagDaddy vs King | 56–43 | 56.57% |
| SwagDaddy vs Dragunov | 51–36 | 58.62% |
| SwagDaddy vs Law | 45–40 | 52.94% |
| SwagDaddy vs Reina | 47–32 | 59.49% |
| SwagDaddy vs Hwoarang | 42–31 | 57.53% |
| SwagDaddy vs Eddy | 37–30 | 55.22% |
| SwagDaddy vs Paul | 37–25 | 59.68% |
| SwagDaddy vs Lili | 33–29 | 53.23% |
| SwagDaddy vs Steve | 29–32 | 47.54% |
| SwagDaddy vs Azucena | 42–18 | 70.00% |
| SwagDaddy vs Lee | 33–26 | 55.93% |
| SwagDaddy vs Yoshimitsu | 24–31 | 43.64% |
| SwagDaddy vs Feng | 23–29 | 44.23% |
| SwagDaddy vs Lars | 30–19 | 61.22% |
| SwagDaddy vs Jun | 30–19 | 61.22% |
| SwagDaddy vs Asuka | 28–18 | 60.87% |
| SwagDaddy vs Victor | 25–21 | 54.35% |
| SwagDaddy vs Lidia | 17–28 | 37.78% |
| SwagDaddy vs Nina | 26–18 | 59.09% |
| SwagDaddy vs Xiaoyu | 21–18 | 53.85% |
| SwagDaddy vs Leo | 22–14 | 61.11% |
| SwagDaddy vs Devil Jin | 17–18 | 48.57% |
| SwagDaddy vs Alisa | 10–13 | 43.48% |
| SwagDaddy vs Heihachi | 9–14 | 39.13% |
| SwagDaddy vs Raven | 6–14 | 30.00% |
| SwagDaddy vs Jack-8 | 11–6 | 64.71% |
| SwagDaddy vs Leroy | 5–12 | 29.41% |
| SwagDaddy vs Kuma | 10–5 | 66.67% |
| SwagDaddy vs Anna | 10–5 | 66.67% |
| SwagDaddy vs Zafina | 4–10 | 28.57% |
| SwagDaddy vs Clive | 4–9 | 30.77% |
| SwagDaddy vs Claudio | 4–7 | 36.36% |
| SwagDaddy vs Shaheen | 5–6 | 45.45% |
| SwagDaddy vs Armor King | 2–4 | 33.33% |
| SwagDaddy vs Panda | 5–0 | 100.00% |
| SwagDaddy vs Fahkumram | 2–2 | 50.00% |
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.