| Spndx_WRR vs Kazuya | 46–47 | 49.46% |
| Spndx_WRR vs King | 56–31 | 64.37% |
| Spndx_WRR vs Bryan | 52–30 | 63.41% |
| Spndx_WRR vs Reina | 51–18 | 73.91% |
| Spndx_WRR vs Fahkumram | 40–27 | 59.70% |
| Spndx_WRR vs Jin | 35–27 | 56.45% |
| Spndx_WRR vs Dragunov | 35–22 | 61.40% |
| Spndx_WRR vs Heihachi | 26–19 | 57.78% |
| Spndx_WRR vs Steve | 27–17 | 61.36% |
| Spndx_WRR vs Asuka | 24–17 | 58.54% |
| Spndx_WRR vs Lee | 18–22 | 45.00% |
| Spndx_WRR vs Azucena | 25–15 | 62.50% |
| Spndx_WRR vs Lili | 22–16 | 57.89% |
| Spndx_WRR vs Law | 20–15 | 57.14% |
| Spndx_WRR vs Yoshimitsu | 18–17 | 51.43% |
| Spndx_WRR vs Hwoarang | 21–14 | 60.00% |
| Spndx_WRR vs Feng | 16–16 | 50.00% |
| Spndx_WRR vs Lidia | 13–19 | 40.62% |
| Spndx_WRR vs Clive | 16–14 | 53.33% |
| Spndx_WRR vs Xiaoyu | 13–13 | 50.00% |
| Spndx_WRR vs Jun | 14–12 | 53.85% |
| Spndx_WRR vs Devil Jin | 14–9 | 60.87% |
| Spndx_WRR vs Leo | 14–9 | 60.87% |
| Spndx_WRR vs Lars | 6–13 | 31.58% |
| Spndx_WRR vs Victor | 8–11 | 42.11% |
| Spndx_WRR vs Jack-8 | 6–12 | 33.33% |
| Spndx_WRR vs Alisa | 9–9 | 50.00% |
| Spndx_WRR vs Raven | 8–10 | 44.44% |
| Spndx_WRR vs Kuma | 11–6 | 64.71% |
| Spndx_WRR vs Paul | 5–11 | 31.25% |
| Spndx_WRR vs Shaheen | 7–6 | 53.85% |
| Spndx_WRR vs Nina | 5–7 | 41.67% |
| Spndx_WRR vs Leroy | 5–4 | 55.56% |
| Spndx_WRR vs Eddy | 3–6 | 33.33% |
| Spndx_WRR vs Zafina | 3–3 | 50.00% |
| Spndx_WRR vs Claudio | 3–2 | 60.00% |
| Spndx_WRR vs Anna | 3–2 | 60.00% |
| Spndx_WRR vs Panda | 2–1 | 66.67% |
| Spndx_WRR vs Armor King | 2–1 | 66.67% |
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.