Compliance notice: A free game: the site's forecasts are generated by a model, and a score is real only where its source is named. Nothing in the game takes money or accepts a wager.

Neshaminy High School football

Neshaminy plays high school football in Langhorne, Pennsylvania, in the District 1 6A.

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Parents, alumni, the bleachers: everyone picks Neshaminy’s games and the schools around them, and Saturday’s table settles who knows best. Free, about a minute, one link to the group chat.

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Neshaminy this season (2026)

Rating and model detail
Record
3–8
Points a game
14.5for · 28.3 against
Last 5
LWLLL
Neshaminy schedule
WkDateOpponentResultScore
208-28at Emmausvia PIAA District 1W20–13
309-03at Manheim Townshipvia PIAA District 1L14–35
309-04at Manheim Townshipvia PIAA district power rankingsL14–35
409-10at Quakertownvia PIAA District 1W28–21
509-18vs Central Bucks Eastvia PIAA District 1L21–35
609-25vs Central Bucks Southvia PIAA District 1L0–36
710-02at North Pennvia PIAA District 1Model: North Penn by 18 · rightL0–28
810-09vs Abingtonvia PIAA District 1W42–6
910-17at Central Bucks Westvia PIAA District 1Model: Central Bucks West by 23 · rightL7–40
1010-23at Pennridgevia PIAA District 1L7–42
1110-30vs Pennsburyvia PIAA District 1Model: Pennsbury by 2.5 · rightL6–20

Every score is a real one, credited to its source. Under each result from the week of 21 Sep on, the model's call before kickoff, right or wrong (its record). Tap a game for its page.

What is on record

Statereal
Pennsylvania
Leaguea label
District 1 6A
Classa label
6A
Real results on filereal
21
Each one credited to its source on the game page.

Neshaminy has no article this project could find, so what is above is only what it knows: the state, a size band, and how that state labels it. All of it is real. Hometown Line also runs a scoring model over Pennsylvania high school football. Every prediction it makes is the model’s own. Where Pennsylvania publishes a schedule the site may read, the games ahead are that schedule; where it does not, the fixtures ahead are generated so the model has something to predict. A result is shown only where its source is named.

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