Nolan Hauser’s field goals at home and away
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Against his share of what his opponents usually allowed kickers, Nolan Hauser was 2.5 field goals over at home and 1.4 field goals over away in 2026, 4 games against 3. The plain averages are 3.2 and 2.3, a difference of 0.9. Both day games were at home.
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
+2.5
away
+1.4
024
A +1.1 difference in field goals over expected at home vs away is about what you’d expect.
plain
3.2
2.3
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 5, 2026 | @ LSU | L | 1 | 1.1 | |
| Sep 12, 2026 | vs Georgia Southern | W | 5 | 0.8 | |
| Sep 19, 2026 | vs North Carolina | W | 3 | 1.1 | |
| Sep 25, 2026 | @ California | W | 1 | 0.8 | |
| Oct 3, 2026 | vs Miami (FL) | L | 2 | 0.5 | |
| Oct 17, 2026 | vsCCharleston Southern | W | 3 | — | |
| Oct 24, 2026 | vs Virginia Tech | L | 3 | 0.8 | |
| Oct 31, 2026 | @ Florida State | W | 5 | 1.0 |
Method
- Expected is what the opponent allowed kickers in its other 2026 games, plus 0.0 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 90% 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.
- Charleston Southern has no other game in the table, so that game has no expected number and sits out the second figure.