| McDawson_69 vs Jin | 25–23 | 52.08% |
| McDawson_69 vs Kazuya | 14–19 | 42.42% |
| McDawson_69 vs Hwoarang | 19–13 | 59.38% |
| McDawson_69 vs Law | 14–17 | 45.16% |
| McDawson_69 vs King | 19–9 | 67.86% |
| McDawson_69 vs Yoshimitsu | 11–9 | 55.00% |
| McDawson_69 vs Azucena | 11–9 | 55.00% |
| McDawson_69 vs Bryan | 11–8 | 57.89% |
| McDawson_69 vs Reina | 6–13 | 31.58% |
| McDawson_69 vs Devil Jin | 12–5 | 70.59% |
| McDawson_69 vs Lili | 9–8 | 52.94% |
| McDawson_69 vs Paul | 7–9 | 43.75% |
| McDawson_69 vs Steve | 8–5 | 61.54% |
| McDawson_69 vs Leo | 3–9 | 25.00% |
| McDawson_69 vs Lee | 7–5 | 58.33% |
| McDawson_69 vs Leroy | 5–7 | 41.67% |
| McDawson_69 vs Heihachi | 5–7 | 41.67% |
| McDawson_69 vs Claudio | 7–4 | 63.64% |
| McDawson_69 vs Eddy | 5–6 | 45.45% |
| McDawson_69 vs Dragunov | 2–8 | 20.00% |
| McDawson_69 vs Nina | 6–4 | 60.00% |
| McDawson_69 vs Jack-8 | 4–5 | 44.44% |
| McDawson_69 vs Alisa | 0–9 | 0.00% |
| McDawson_69 vs Victor | 3–6 | 33.33% |
| McDawson_69 vs Feng | 2–5 | 28.57% |
| McDawson_69 vs Jun | 5–2 | 71.43% |
| McDawson_69 vs Xiaoyu | 1–5 | 16.67% |
| McDawson_69 vs Lars | 3–3 | 50.00% |
| McDawson_69 vs Anna | 1–4 | 20.00% |
| McDawson_69 vs Shaheen | 2–2 | 50.00% |
| McDawson_69 vs Clive | 3–1 | 75.00% |
| McDawson_69 vs Asuka | 2–1 | 66.67% |
| McDawson_69 vs Raven | 2–1 | 66.67% |
| McDawson_69 vs Kuma | 0–2 | 0.00% |
| McDawson_69 vs Zafina | 1–1 | 50.00% |
| McDawson_69 vs Fahkumram | 1–1 | 50.00% |
| McDawson_69 vs Panda | 0–1 | 0.00% |
| McDawson_69 vs Lidia | 1–0 | 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.