| 14TEN vs Heihachi | 83–131 | 38.79% |
| 14TEN vs Jin | 79–96 | 45.14% |
| 14TEN vs Kazuya | 64–76 | 45.71% |
| 14TEN vs Dragunov | 68–72 | 48.57% |
| 14TEN vs Reina | 44–74 | 37.29% |
| 14TEN vs Law | 41–51 | 44.57% |
| 14TEN vs King | 37–53 | 41.11% |
| 14TEN vs Bryan | 38–52 | 42.22% |
| 14TEN vs Jun | 32–45 | 41.56% |
| 14TEN vs Steve | 33–40 | 45.21% |
| 14TEN vs Hwoarang | 29–38 | 43.28% |
| 14TEN vs Devil Jin | 19–45–1 | 29.69% |
| 14TEN vs Xiaoyu | 24–39 | 38.10% |
| 14TEN vs Yoshimitsu | 33–28 | 54.10% |
| 14TEN vs Paul | 24–36 | 40.00% |
| 14TEN vs Claudio | 24–35 | 40.68% |
| 14TEN vs Asuka | 18–38 | 32.14% |
| 14TEN vs Lili | 26–29 | 47.27% |
| 14TEN vs Alisa | 20–35 | 36.36% |
| 14TEN vs Lidia | 28–20 | 58.33% |
| 14TEN vs Victor | 18–26 | 40.91% |
| 14TEN vs Nina | 13–30 | 30.23% |
| 14TEN vs Lee | 17–23 | 42.50% |
| 14TEN vs Lars | 15–24 | 38.46% |
| 14TEN vs Azucena | 11–23 | 32.35% |
| 14TEN vs Feng | 9–24 | 27.27% |
| 14TEN vs Leo | 14–13 | 51.85% |
| 14TEN vs Jack-8 | 9–17 | 34.62% |
| 14TEN vs Leroy | 8–17 | 32.00% |
| 14TEN vs Raven | 4–18 | 18.18% |
| 14TEN vs Zafina | 6–11 | 35.29% |
| 14TEN vs Shaheen | 5–11 | 31.25% |
| 14TEN vs Kuma | 5–4 | 55.56% |
| 14TEN vs Eddy | 1–7 | 12.50% |
| 14TEN vs Clive | 2–6 | 25.00% |
| 14TEN vs Panda | 2–2 | 50.00% |
| 14TEN vs Fahkumram | 2–1 | 66.67% |
| 14TEN vs Armor King | 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.