| SpagPlays vs Kazuya | 94–126 | 42.73% |
| SpagPlays vs Bryan | 68–81–1 | 45.64% |
| SpagPlays vs Dragunov | 70–65 | 51.85% |
| SpagPlays vs Steve | 63–56 | 52.94% |
| SpagPlays vs Jin | 48–60 | 44.44% |
| SpagPlays vs Armor King | 63–40 | 61.17% |
| SpagPlays vs King | 65–37 | 63.73% |
| SpagPlays vs Law | 51–28 | 64.56% |
| SpagPlays vs Reina | 46–31 | 59.74% |
| SpagPlays vs Miary Zo | 29–44 | 39.73% |
| SpagPlays vs Heihachi | 30–40 | 42.86% |
| SpagPlays vs Lars | 27–39 | 40.91% |
| SpagPlays vs Lili | 23–30 | 43.40% |
| SpagPlays vs Hwoarang | 25–27 | 48.08% |
| SpagPlays vs Yoshimitsu | 21–30 | 41.18% |
| SpagPlays vs Devil Jin | 21–28 | 42.86% |
| SpagPlays vs Asuka | 24–20 | 54.55% |
| SpagPlays vs Jun | 19–20 | 48.72% |
| SpagPlays vs Lidia | 15–22 | 40.54% |
| SpagPlays vs Lee | 18–18 | 50.00% |
| SpagPlays vs Victor | 17–17 | 50.00% |
| SpagPlays vs Alisa | 16–17 | 48.48% |
| SpagPlays vs Claudio | 17–16 | 51.52% |
| SpagPlays vs Fahkumram | 18–14 | 56.25% |
| SpagPlays vs Xiaoyu | 13–18 | 41.94% |
| SpagPlays vs Paul | 16–14 | 53.33% |
| SpagPlays vs Feng | 10–17 | 37.04% |
| SpagPlays vs Clive | 7–19 | 26.92% |
| SpagPlays vs Eddy | 10–14 | 41.67% |
| SpagPlays vs Azucena | 8–15 | 34.78% |
| SpagPlays vs Anna | 6–14 | 30.00% |
| SpagPlays vs Nina | 10–9 | 52.63% |
| SpagPlays vs Shaheen | 6–10 | 37.50% |
| SpagPlays vs Kuma | 6–8 | 42.86% |
| SpagPlays vs Zafina | 9–4 | 69.23% |
| SpagPlays vs Leo | 7–4 | 63.64% |
| SpagPlays vs Leroy | 5–6 | 45.45% |
| SpagPlays vs Jack-8 | 5–3 | 62.50% |
| SpagPlays vs Raven | 0–5 | 0.00% |
| SpagPlays vs Panda | 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.