| DactaroN vs Kazuya | 81–41 | 66.39% |
| DactaroN vs Steve | 65–32 | 67.01% |
| DactaroN vs Jin | 61–33 | 64.89% |
| DactaroN vs Lee | 57–31 | 64.77% |
| DactaroN vs Reina | 42–40 | 51.22% |
| DactaroN vs King | 53–27 | 66.25% |
| DactaroN vs Xiaoyu | 50–27 | 64.94% |
| DactaroN vs Yoshimitsu | 39–31 | 55.71% |
| DactaroN vs Bryan | 47–23 | 67.14% |
| DactaroN vs Devil Jin | 38–30 | 55.88% |
| DactaroN vs Lili | 36–31 | 53.73% |
| DactaroN vs Azucena | 39–25 | 60.94% |
| DactaroN vs Heihachi | 30–33 | 47.62% |
| DactaroN vs Dragunov | 39–23 | 62.90% |
| DactaroN vs Lars | 28–33 | 45.90% |
| DactaroN vs Asuka | 32–26 | 55.17% |
| DactaroN vs Paul | 42–15 | 73.68% |
| DactaroN vs Nina | 33–23 | 58.93% |
| DactaroN vs Raven | 28–25 | 52.83% |
| DactaroN vs Hwoarang | 30–19 | 61.22% |
| DactaroN vs Claudio | 27–20 | 57.45% |
| DactaroN vs Feng | 19–22 | 46.34% |
| DactaroN vs Alisa | 24–16 | 60.00% |
| DactaroN vs Victor | 20–20 | 50.00% |
| DactaroN vs Law | 30–8 | 78.95% |
| DactaroN vs Kuma | 23–15 | 60.53% |
| DactaroN vs Eddy | 22–15 | 59.46% |
| DactaroN vs Jun | 20–12 | 62.50% |
| DactaroN vs Shaheen | 10–18 | 35.71% |
| DactaroN vs Leroy | 17–8 | 68.00% |
| DactaroN vs Jack-8 | 15–9 | 62.50% |
| DactaroN vs Armor King | 14–9 | 60.87% |
| DactaroN vs Leo | 11–11 | 50.00% |
| DactaroN vs Zafina | 7–14 | 33.33% |
| DactaroN vs Anna | 6–6 | 50.00% |
| DactaroN vs Panda | 6–5 | 54.55% |
| DactaroN vs Lidia | 7–2 | 77.78% |
| DactaroN vs Fahkumram | 2–1 | 66.67% |
| DactaroN vs Miary Zo | 1–2 | 33.33% |
| DactaroN vs Clive | 0–1 | 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.