Jason Myers’ field goals at home and away
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Against his share of what his opponents usually allowed kickers, Jason Myers was 0.6 field goals over at home and 0.4 field goals under away in 2026, 5 games against 3. The plain averages are 2.2 and 1.3, a difference of 0.9.
3 games away is still too small a sample for the statistics to say much, but maybe you can find something if you squint.
field goals a game over expected
at home
+0.6
away
−0.4
02
A +1.0 difference in field goals over expected at home vs away is about what you’d expect.
plain
2.2
1.3
12345
A +0.9 difference in field goals at home vs away is about what you’d expect.
The games
at homeaway
| Side | Date | Game | Result | field goals | Expected |
|---|---|---|---|---|---|
| Sep 9, 2026 | vs | W | 2 | 1.7 | |
| Sep 20, 2026 | @ | W | 1 | 1.7 | |
| Sep 27, 2026 | @ | L | 1 | 1.8 | |
| Oct 4, 2026 | vs | W | 1 | 2.0 | |
| Oct 11, 2026 | vs | L | 5 | 1.6 | |
| Oct 15, 2026 | @ | L | 2 | 1.8 | |
| Oct 25, 2026 | vs | W | 2 | 2.0 | |
| Nov 2, 2026 | vs | L | 1 | 1.0 |
Method
- Expected is what the opponent allowed kickers in its other 2026 games, minus 0.1 for the home team (half the league’s home edge for kickers that season), nothing at a neutral site, scaled to his share of his team’s kickers’ field goals in his games, 100%.
- Each expected number is then fit to the season’s games: a game bears out about 93% of the difference the model predicts.
- The shuffle keeps the season’s shape: the games are cut in two where one date leaves the least variance, each game is read against its stretch, and the sides are shuffled only inside each stretch.