🔮 Prediction for Jacksonville Jaguars vs Philadelphia Eagles – NFL (October 11)

Why this pick

The pick is J. Meyers Under 3.5 receptions. Over his last 8 games, Jakobi Meyers went over the line of 3.5 receptions in 4 of 8, averaging 3.25 per game. Applied to this pick, it would have landed in 4 of 8 (50%).

Across the sample his range runs from 1 to 6.

Jakobi Meyers's last 8 games

4 of 8 under 3.5

3.5

4vs Indianapolis Colts · 36-19 · 12/07

5vs New York Jets · 48-20 · 12/14

4vs Denver Broncos · 34-20 · 12/21

6vs Indianapolis Colts · 23-17 · 12/28

1vs Buffalo Bills · 24-27 · 01/11

2vs Cleveland Browns · 34-10 · 09/13

1vs Denver Broncos · 13-20 · 09/20

3vs Cincinnati Bengals · 22-17 · 10/04

Recent winning player props

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AI Pick for Jacksonville Jaguars vs Philadelphia Eagles – NFL

Jakobi Meyers Under 3.5 receptions (Jacksonville Jaguars), at 2.05.

The final score doesn't matter; what matters is the Jakobi Meyers stat line when it's over.

The starting point is his average: 3.25 per game over the last 8, against a line of 3.5.

That's a 0.25 cushion in the pick's favour.

The model doesn't settle for the bare average: it gives recent games more weight and arrives at a projection of 2.5, lower than the plain average because his most recent games came in below it, 1 below the line.

Against this same line, the pick would have landed in 4 of his last 8 games.

At 2.05, break-even means hitting about 3.9 out of every 8, and the sample is only just above it: the price is fair, not a gift, and the model fills in the rest with the bookmakers' consensus.

In his last 4 games he posted 3, 1, 2, 1 (most recent first): 4 of 4 on the pick's side, better than the 4 of 8 across the whole sample.

In the sample, his standard deviation is 1.83 receptions: a normal spread, and the line sits 0.1 deviations from his average.

Today's setting counts too: at home, in the sample, he's at 3 per game over 4 games.

A receptions Under counts catches, not yards: it wants a low-volume passing day for his team, and any script that forces them to throw all second half threatens it.

The model doesn't settle for a single number: it crosses the real Jakobi Meyers frequency against this line with the bookmakers' consensus, and only publishes the pick when the available odds pay more than that count says.

What can go wrong: one isolated big play, or a game that forces his team to change plans — in the NFL, a lopsided score changes how much a team throws and how much it runs.

One last practical note: 2.05 is the reference price; if you find it lower, the value fades, and if it's higher, the pick improves.