| TimCaldim vs Jin | 43–49 | 46.74% |
| TimCaldim vs Reina | 45–42 | 51.72% |
| TimCaldim vs Kazuya | 35–36 | 49.30% |
| TimCaldim vs Eddy | 31–39 | 44.29% |
| TimCaldim vs Steve | 33–35 | 48.53% |
| TimCaldim vs Bryan | 30–31 | 49.18% |
| TimCaldim vs King | 28–31 | 47.46% |
| TimCaldim vs Hwoarang | 13–45 | 22.41% |
| TimCaldim vs Azucena | 26–25 | 50.98% |
| TimCaldim vs Lili | 20–29 | 40.82% |
| TimCaldim vs Heihachi | 16–31 | 34.04% |
| TimCaldim vs Law | 19–27 | 41.30% |
| TimCaldim vs Armor King | 18–27 | 40.00% |
| TimCaldim vs Jun | 27–16 | 62.79% |
| TimCaldim vs Dragunov | 17–23 | 42.50% |
| TimCaldim vs Jack-8 | 15–23 | 39.47% |
| TimCaldim vs Devil Jin | 18–19 | 48.65% |
| TimCaldim vs Lars | 16–16 | 50.00% |
| TimCaldim vs Asuka | 11–20 | 35.48% |
| TimCaldim vs Yoshimitsu | 17–12 | 58.62% |
| TimCaldim vs Clive | 10–16 | 38.46% |
| TimCaldim vs Lee | 11–13 | 45.83% |
| TimCaldim vs Miary Zo | 13–11 | 54.17% |
| TimCaldim vs Nina | 13–10 | 56.52% |
| TimCaldim vs Alisa | 8–9 | 47.06% |
| TimCaldim vs Lidia | 5–12 | 29.41% |
| TimCaldim vs Paul | 7–9 | 43.75% |
| TimCaldim vs Xiaoyu | 9–7 | 56.25% |
| TimCaldim vs Feng | 5–10 | 33.33% |
| TimCaldim vs Anna | 5–10 | 33.33% |
| TimCaldim vs Leroy | 2–11 | 15.38% |
| TimCaldim vs Zafina | 4–8 | 33.33% |
| TimCaldim vs Claudio | 8–3 | 72.73% |
| TimCaldim vs Fahkumram | 5–6 | 45.45% |
| TimCaldim vs Victor | 5–4 | 55.56% |
| TimCaldim vs Kuma | 1–5 | 16.67% |
| TimCaldim vs Shaheen | 0–4 | 0.00% |
| TimCaldim vs Panda | 2–1 | 66.67% |
| TimCaldim vs Raven | 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.