| DNG_Tempest vs Kazuya | 30–12 | 71.43% |
| DNG_Tempest vs Clive | 32–10 | 76.19% |
| DNG_Tempest vs Reina | 26–10 | 72.22% |
| DNG_Tempest vs Jin | 21–12 | 63.64% |
| DNG_Tempest vs Dragunov | 17–11 | 60.71% |
| DNG_Tempest vs King | 21–4 | 84.00% |
| DNG_Tempest vs Eddy | 13–12 | 52.00% |
| DNG_Tempest vs Hwoarang | 13–11 | 54.17% |
| DNG_Tempest vs Lidia | 17–7 | 70.83% |
| DNG_Tempest vs Steve | 19–4 | 82.61% |
| DNG_Tempest vs Asuka | 14–9 | 60.87% |
| DNG_Tempest vs Law | 16–6 | 72.73% |
| DNG_Tempest vs Jun | 9–12 | 42.86% |
| DNG_Tempest vs Bryan | 11–7 | 61.11% |
| DNG_Tempest vs Feng | 9–9 | 50.00% |
| DNG_Tempest vs Azucena | 9–8 | 52.94% |
| DNG_Tempest vs Xiaoyu | 9–5 | 64.29% |
| DNG_Tempest vs Lili | 10–3 | 76.92% |
| DNG_Tempest vs Paul | 6–6 | 50.00% |
| DNG_Tempest vs Victor | 8–4 | 66.67% |
| DNG_Tempest vs Lee | 11–0 | 100.00% |
| DNG_Tempest vs Devil Jin | 8–2 | 80.00% |
| DNG_Tempest vs Raven | 9–1 | 90.00% |
| DNG_Tempest vs Armor King | 4–6 | 40.00% |
| DNG_Tempest vs Alisa | 6–3 | 66.67% |
| DNG_Tempest vs Claudio | 4–5 | 44.44% |
| DNG_Tempest vs Leo | 4–4 | 50.00% |
| DNG_Tempest vs Leroy | 8–0 | 100.00% |
| DNG_Tempest vs Yoshimitsu | 6–1 | 85.71% |
| DNG_Tempest vs Lars | 3–3 | 50.00% |
| DNG_Tempest vs Heihachi | 6–0 | 100.00% |
| DNG_Tempest vs Fahkumram | 3–3 | 50.00% |
| DNG_Tempest vs Zafina | 2–3 | 40.00% |
| DNG_Tempest vs Kuma | 2–2 | 50.00% |
| DNG_Tempest vs Panda | 3–1 | 75.00% |
| DNG_Tempest vs Jack-8 | 2–1 | 66.67% |
| DNG_Tempest vs Nina | 1–2 | 33.33% |
| DNG_Tempest vs Anna | 2–0 | 100.00% |
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.