| Mectro_2 vs Steve | 37–43 | 46.25% |
| Mectro_2 vs Bryan | 46–33 | 58.23% |
| Mectro_2 vs Kazuya | 44–34 | 56.41% |
| Mectro_2 vs Jin | 40–32 | 55.56% |
| Mectro_2 vs Reina | 40–29 | 57.97% |
| Mectro_2 vs King | 44–22 | 66.67% |
| Mectro_2 vs Heihachi | 36–29 | 55.38% |
| Mectro_2 vs Hwoarang | 28–28 | 50.00% |
| Mectro_2 vs Yoshimitsu | 29–23 | 55.77% |
| Mectro_2 vs Clive | 19–32 | 37.25% |
| Mectro_2 vs Law | 19–29 | 39.58% |
| Mectro_2 vs Dragunov | 19–23 | 45.24% |
| Mectro_2 vs Azucena | 24–17 | 58.54% |
| Mectro_2 vs Lars | 24–16 | 60.00% |
| Mectro_2 vs Xiaoyu | 25–14 | 64.10% |
| Mectro_2 vs Lee | 16–22 | 42.11% |
| Mectro_2 vs Lili | 23–14 | 62.16% |
| Mectro_2 vs Raven | 18–18 | 50.00% |
| Mectro_2 vs Jun | 19–15 | 55.88% |
| Mectro_2 vs Paul | 16–16 | 50.00% |
| Mectro_2 vs Jack-8 | 14–16 | 46.67% |
| Mectro_2 vs Fahkumram | 20–10 | 66.67% |
| Mectro_2 vs Devil Jin | 17–11 | 60.71% |
| Mectro_2 vs Armor King | 18–10 | 64.29% |
| Mectro_2 vs Victor | 13–14 | 48.15% |
| Mectro_2 vs Asuka | 18–6 | 75.00% |
| Mectro_2 vs Claudio | 12–9 | 57.14% |
| Mectro_2 vs Eddy | 12–7 | 63.16% |
| Mectro_2 vs Lidia | 8–10 | 44.44% |
| Mectro_2 vs Feng | 10–7 | 58.82% |
| Mectro_2 vs Leo | 12–4 | 75.00% |
| Mectro_2 vs Zafina | 8–6 | 57.14% |
| Mectro_2 vs Alisa | 4–9 | 30.77% |
| Mectro_2 vs Miary Zo | 9–4 | 69.23% |
| Mectro_2 vs Kuma | 9–2 | 81.82% |
| Mectro_2 vs Leroy | 5–6 | 45.45% |
| Mectro_2 vs Nina | 3–7 | 30.00% |
| Mectro_2 vs Anna | 3–4 | 42.86% |
| Mectro_2 vs Panda | 6–0 | 100.00% |
| Mectro_2 vs Shaheen | 0–3 | 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.