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// NFL · Week 7 · Sunday 25 October 2026

Green Bay Packers vs Detroit Lions prediction

Kick-off 4:25pm ET ·

Pick
Detroit Lions
Chance
62%
Light
Orange
Confidence
Medium

Full breakdown: team stats, players & form →

Result

Final: Green Bay Packers 17 – 20 Detroit Lions. Our pick, Detroit Lions, won ✓.

See our full record →

Our pre-game preview

Detroit Lions are our pick at home against the Green Bay Packers in Week 7. The model gives them a 62% chance of winning, which makes this game a lean (55 to 65%).

The two teams have almost the same rating (1547 to 1539), so home field decides the pick.

Schedule: Detroit Lions are coming off a bye.

Quarterbacks: we expect Jordan Love to start for Green Bay Packers (58 career starts); we expect Jared Goff to start for Detroit Lions (165 career starts). We assume each team's most recent starter plays unless the injury report says otherwise.

Season so far: Green Bay Packers are 5–3 and Detroit Lions are 5–2.

This preview was written from the data we had before the game.

Game review

What happened

The Lions beat the Packers 20–17 at home. Jared Goff completed 22 of 32 passes for 303 yards with 2 touchdowns, and Jahmyr Gibbs ran for 116 yards on 29 carries. For the Packers, Jordan Love completed 27 of 45 passes for 274 yards with 2 touchdowns and 1 interception.

What the model got right

The model gave the Lions a 62% chance at home, mainly because of home field, with the two teams rated almost the same (1547 to 1539), and they won by 3. Both starting quarterbacks were the ones the preview expected: Jordan Love for the Packers and Jared Goff for the Lions.

What didn't work

The pick came through, but only just: a 3-point game is closer than a 62% chance suggests. The Packers kept it to a one-score game, so it was never comfortable.

Why

The result fits what the model leaned on, home field. One win doesn't prove the model right: at 62%, about 4 in 10 games like this go the other way, and every result stays on our record.

Written after the game. Scores and stats are checked against two independent sources.

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Probabilities come from ProbaLab's own model. They are for entertainment, not advice. How it works.