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Over 17 NFL games since October 2025, Isaac TeSlaa has gone over the posted 1.5 receptions 7 times (41%), and over their last 10 they have done it 5 times (50%). They average 1.4 receptions across those 17 games. Their last 5 average 1.8, 27% above their 1.4 over their last 17 games. They have gone under 1.5 in each of their last 3. These are measured box-score results from Detroit Lions games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
Sunday, November 15, 9:30 AM ET, at home against the New England Patriots. Last logged game November 8, 7 days before.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Receptions | 17 | 1.4 receptions | Over 1.5 | 7 of 17 (41%) |
Counted from the same 17 logged games as the tables above. Measured history, not a projection and not a read on tonight's price.
| Percentile | Receptions |
|---|---|
| Lowest logged game | 0 |
| 25th percentile | 0 |
| Median | 1 |
| 75th percentile | 2 |
| Highest logged game | 4 |
13 of 17 games (76%) landed between 0 and 2; 11 (65%) finished at or above the 1 median, and the spread from 0 to 4 is the whole range of the log. Nearest-rank, so every figure is a score Isaac TeSlaa actually recorded.
| Month | Logged games | Average |
|---|---|---|
| October 2026 | 3 | 1.7 |
| September 2026 | 3 | 1.7 |
| December 2025 | 4 | 2.3 |
| November 2025 | 4 | 0.8 |
| Gap | Logged games | Average |
|---|---|---|
| 3 to 4 days | 3 | 2.3 |
| 5 or more days | 13 | 1.3 |
The gap is the distance to the previous game in this log, not a rest figure. A box score does not record a game a player sat out inside it.
Against their own 1 median rather than a posted line, Isaac TeSlaa's longest run at or above it is 3 games and the run open at the newest of the 17 is 2. Whether the bigger games cluster, not when the next one is.
Isaac TeSlaa has gone over 1.5 receptions in 7 of 17 logged games (41%).
At home they average 1.5 over 8 games; away, 1.3 over 9.
Isaac TeSlaa receptions: full game log, trend and hit rate by line
Prop research for Isaac TeSlaa of the Detroit Lions. The books are currently pricing Receptions lines for Isaac TeSlaa, and each one is scored the same way every prop on this site is: their own game log measured against the exact line on offer, then compared with the price after a short record is pulled toward that price, so a hot fortnight cannot pass for a gap over it. The game log and the splits below are measured history and are rebuilt daily; the lines and prices load live, because an NFL price printed into a page is wrong within the hour. None of it is a forecast of the next game.
Calculated by the ParlayBuilder Prop Engine.
Every figure on this page is counted from official NFL box scores, one row per game actually played. No projections, and a game the player missed is absent rather than scored as a zero. Where a hit rate is compared with the live price, it is first pulled toward that price in proportion to how thin the sample is, so three-for-three does not read here as a certainty.
Past performance does not predict future results, and Parlay Builder does not accept wagers, hold funds or settle bets. This is measured history and a price, and what you do with them is your decision.
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Whatever the books have priced: currently Receptions. The board on this page loads live rather than from a saved snapshot, so it reflects what is actually on offer now, with the best posted price across the major US sportsbooks against each line.
It depends on the line, which is why this page shows a rate per prop rather than one number. Each is the share of logged games finishing above the exact line on offer, over the deepest window available, and pulled toward the price before it is compared with it, so a short sample cannot masquerade as a trend. The number of games behind every rate is printed beside it.
The home and away splits on this page are measured from the same game log, so you can see the gap rather than assume one. Read them with the sample sizes next to them: a split measured over a handful of games each way is a difference you cannot distinguish from noise, and this page prints the denominator so you can tell.
No one knows, and any NFL tool that says otherwise is selling you something. Every figure here is measured history against a current price, and history is not a forecast. Across roughly 96,000 graded props the model tracked the de-vigged consensus across five books to within the margin those books charge: historical testing showed calibration alone is not enough to overcome sportsbook pricing. What this page does is show you the sample behind every number in seconds.
How NFL prop markets behave, measured across the league
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.