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Across 277 NFL players with at least 10 logged games in targets, this page measures 4433 games in total. The median player in that field averages 3.4 targets. The line closest to a coin flip sits at 3.5 for the median of the 277 players whose distribution supports one — half the field is more often over it, half more often under. The deepest sample here is Hunter Henry, with 23 logged games. Of the 260 players whose spread can be measured, 15 cluster tightly around their average, 194 vary moderately and 51 swing widely. 276 of them have at least three games home and away, so the venue gap below is measured rather than assumed. Every figure is counted from official box scores and describes games already played. It is not a projection, and on its own it says nothing about whether any price on offer is worth taking.
Each player's own most balanced threshold — the half-point line he has finished above in closest to half his logged games — measured from his distribution rather than read off a book. Deepest sample first, not best to worst. The 40 deepest samples of 277 measured; the figures above this table are over all 277.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Hunter Henry | Patriots | 23 | 4.8 targets | Over 4.5 | 12 of 23 (52%) |
| Rashid Shaheed | Seahawks | 23 | 4.8 targets | Over 3.5 | 14 of 23 (61%) |
| Stefon Diggs | Commanders | 23 | 6.0 targets | Over 5.5 | 12 of 23 (52%) |
| AJ Barner | Seahawks | 22 | 3.5 targets | Over 3.5 | 9 of 22 (41%) |
| Blake Corum | Rams | 22 | 0.9 targets | Over 0.5 | 11 of 22 (50%) |
| DeMario Douglas | Patriots | 22 | 3.0 targets | Over 2.5 | 11 of 22 (50%) |
| Jaxon Smith-Njigba | Seahawks | 22 | 9.6 targets | Over 9.5 | 13 of 22 (59%) |
| Kenneth Walker III | Chiefs | 22 | 2.9 targets | Over 2.5 | 12 of 22 (55%) |
| Kyren Williams | Rams | 22 | 2.9 targets | Over 2.5 | 10 of 22 (45%) |
| TreVeyon Henderson | Patriots | 22 | 2.2 targets | Over 1.5 | 13 of 22 (59%) |
| Christian McCaffrey | 49ers | 21 | 7.4 targets | Over 7.5 | 10 of 21 (48%) |
| Cooper Kupp | Seahawks | 21 | 4.7 targets | Over 3.5 | 11 of 21 (52%) |
| Courtland Sutton | Broncos | 21 | 7.0 targets | Over 6.5 | 10 of 21 (48%) |
| Dalton Schultz | Texans | 21 | 6.4 targets | Over 5.5 | 11 of 21 (52%) |
| DJ Moore | Bills | 21 | 5.1 targets | Over 5.5 | 8 of 21 (38%) |
| James Cook III | Bills | 21 | 2.5 targets | Over 2.5 | 13 of 21 (62%) |
| Kyle Monangai | Bears | 21 | 2.0 targets | Over 1.5 | 11 of 21 (52%) |
| Cole Kmet | Bears | 20 | 2.9 targets | Over 2.5 | 11 of 20 (55%) |
| Colston Loveland | Bears | 20 | 5.6 targets | Over 4.5 | 11 of 20 (55%) |
| D'Andre Swift | Bears | 20 | 2.8 targets | Over 2.5 | 9 of 20 (45%) |
| Dawson Knox | Bills | 20 | 3.0 targets | Over 2.5 | 10 of 20 (50%) |
| DeVonta Smith | Eagles | 20 | 7.2 targets | Over 7.5 | 10 of 20 (50%) |
| Evan Engram | Broncos | 20 | 4.4 targets | Over 4.5 | 8 of 20 (40%) |
| Kayshon Boutte | Texans | 20 | 3.6 targets | Over 3.5 | 10 of 20 (50%) |
| Keenan Allen | Colts | 20 | 7.0 targets | Over 6.5 | 10 of 20 (50%) |
| Kenny Gainwell | Buccaneers | 20 | 4.8 targets | Over 4.5 | 11 of 20 (55%) |
| Khalil Shakir | Bills | 20 | 6.4 targets | Over 5.5 | 11 of 20 (55%) |
| Puka Nacua | Rams | 20 | 10.8 targets | Over 10.5 | 11 of 20 (55%) |
| Rhamondre Stevenson | Patriots | 20 | 3.0 targets | Over 2.5 | 11 of 20 (55%) |
| Rico Dowdle | Steelers | 20 | 3.0 targets | Over 2.5 | 10 of 20 (50%) |
| RJ Harvey | Broncos | 20 | 3.7 targets | Over 3.5 | 11 of 20 (55%) |
| Tetairoa McMillan | Panthers | 20 | 7.3 targets | Over 7.5 | 11 of 20 (55%) |
| Travis Etienne Jr. | Saints | 20 | 3.4 targets | Over 3.5 | 9 of 20 (45%) |
| Woody Marks | Texans | 20 | 2.4 targets | Over 1.5 | 11 of 20 (55%) |
| Xavier Hutchinson | Texans | 20 | 4.5 targets | Over 3.5 | 10 of 20 (50%) |
| Amon-Ra St. Brown | Lions | 19 | 10.5 targets | Over 10.5 | 9 of 19 (47%) |
| Ashton Jeanty | Raiders | 19 | 4.5 targets | Over 4.5 | 10 of 19 (53%) |
| Bijan Robinson | Falcons | 19 | 6.2 targets | Over 5.5 | 10 of 19 (53%) |
| Brian Robinson Jr. | Falcons | 19 | 0.8 targets | Over 0.5 | 10 of 19 (53%) |
| Chase Brown | Bengals | 19 | 5.2 targets | Over 4.5 | 9 of 19 (47%) |
Standard deviation in the market’s own units, and the same figure as a share of the player’s average so it means the same thing in points as in passing yards. A narrow spread means the average is close to what a typical game actually looked like; it says nothing about what the next one will look like.
| Player | Club | Logged games | Average | Standard deviation | Spread as % of average |
|---|---|---|---|---|---|
| Trey McBride | Cardinals | 19 | 10.1 targets | 2.1 | 21% |
| Davante Adams | Rams | 19 | 8.2 targets | 2.2 | 27% |
| Tyler Warren | Colts | 19 | 6.5 targets | 1.8 | 27% |
| Justin Jefferson | Vikings | 19 | 8.2 targets | 2.3 | 28% |
| CeeDee Lamb | Cowboys | 15 | 8.9 targets | 2.7 | 30% |
| Jaxon Smith-Njigba | Seahawks | 22 | 9.6 targets | 2.9 | 31% |
| Chris Olave | Saints | 18 | 9.9 targets | 3.2 | 32% |
| Zay Flowers | Ravens | 18 | 6.9 targets | 2.2 | 32% |
| Puka Nacua | Rams | 20 | 10.8 targets | 3.4 | 32% |
| Tetairoa McMillan | Panthers | 20 | 7.3 targets | 2.5 | 33% |
The other end of the same measurement. A wide spread means the average describes the middle of a broad range rather than a typical night, which is worth knowing before reading anything into that average.
| Player | Club | Logged games | Average | Standard deviation | Spread as % of average |
|---|---|---|---|---|---|
| Taysom Hill | Saints | 13 | 1.2 targets | 1.7 | 136% |
| Devin Singletary | Giants | 19 | 1.3 targets | 1.3 | 105% |
| Malachi Corley | Browns | 12 | 1.2 targets | 1.1 | 98% |
| Bo Melton | Packers | 10 | 1.5 targets | 1.4 | 95% |
| Zach Charbonnet | Seahawks | 17 | 1.4 targets | 1.3 | 94% |
| Isiah Pacheco | Chiefs | 13 | 2.0 targets | 1.9 | 94% |
| Greg Dortch | Cardinals | 12 | 2.8 targets | 2.6 | 93% |
| Nick Chubb | Texans | 17 | 1.2 targets | 1.1 | 90% |
| Tim Patrick | Jaguars | 14 | 1.8 targets | 1.6 | 88% |
| TreVeyon Henderson | Patriots | 22 | 2.2 targets | 1.9 | 87% |
Both averages are over the games actually played at each venue, and the game count for each is in the cell beside it. A gap measured over a handful of games either way is one you cannot distinguish from noise — this table prints the denominators so you can tell which is which. Three games a side is the floor for appearing here at all.
| Player | Club | Home (games) | Away (games) | Gap |
|---|---|---|---|---|
| Terry McLaurin | Commanders | 4.0 (4) | 7.6 (7) | 3.6 away |
| Xavier Legette | Panthers | 2.6 (9) | 5.9 (8) | 3.3 away |
| Devaughn Vele | Saints | 3.5 (6) | 6.8 (5) | 3.3 away |
| Keon Coleman | Bills | 5.9 (8) | 2.7 (7) | 3.2 at home |
| Matthew Golden | Packers | 2.3 (6) | 5.0 (10) | 2.7 away |
| Malik Washington | Dolphins | 2.6 (8) | 5.3 (10) | 2.7 away |
| Ladd McConkey | Chargers | 7.6 (10) | 4.9 (9) | 2.7 at home |
| Alec Pierce | Colts | 4.1 (9) | 6.7 (7) | 2.6 away |
| Michael Pittman Jr. | Steelers | 5.4 (10) | 8.0 (7) | 2.6 away |
| Jalen Coker | Panthers | 6.3 (7) | 3.7 (6) | 2.6 at home |
Last five logged games against the full log, reported only where the gap is more than a tenth of the player’s own average. It is a description of five games that have been played and it is not a forecast of the sixth.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Kenneth Walker III | Chiefs | 5.4 targets | 2.9 over 22 | 89% above |
| Tank Bigsby | Eagles | 0.8 targets | 0.4 over 14 | 87% above |
| Xavier Hutchinson | Texans | 8.2 targets | 4.5 over 20 | 84% above |
| Taysom Hill | Saints | 2.2 targets | 1.2 over 13 | 79% above |
| Isaac TeSlaa | Lions | 3.6 targets | 2.1 over 16 | 75% above |
| Devin Singletary | Giants | 2.0 targets | 1.3 over 19 | 58% above |
| Zach Charbonnet | Seahawks | 2.2 targets | 1.4 over 17 | 56% above |
| Colston Loveland | Bears | 8.6 targets | 5.6 over 20 | 54% above |
| Samaje Perine | Bengals | 2.4 targets | 1.6 over 16 | 54% above |
| Kalif Raymond | Bears | 4.8 targets | 3.1 over 14 | 53% above |
The same comparison in the other direction, and the same caveat: five games is five games, and a run below a baseline is as often noise as it is a change.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Jordan Mason | Vikings | 0.2 targets | 0.9 over 17 | 79% below |
| Sean Tucker | Buccaneers | 0.2 targets | 0.8 over 14 | 75% below |
| Nick Chubb | Texans | 0.4 targets | 1.2 over 17 | 68% below |
| Ollie Gordon II | Dolphins | 0.2 targets | 0.5 over 17 | 62% below |
| Jaylin Lane | Commanders | 1.0 targets | 2.4 over 14 | 58% below |
| Troy Franklin | Broncos | 2.6 targets | 5.6 over 19 | 54% below |
| Jake Ferguson | Cowboys | 2.8 targets | 5.7 over 19 | 51% below |
| Cedric Tillman | Browns | 1.6 targets | 3.3 over 12 | 51% below |
| Jacory Croskey-Merritt | Commanders | 0.4 targets | 0.8 over 19 | 49% below |
| Justice Hill | Ravens | 1.4 targets | 2.7 over 11 | 49% below |
At the half-point threshold each player has finished above in about half their logged games. It is measured per player from their own distribution rather than read off a sportsbook, which is why it is on this page at all: a posted line moves through the day and this page is rebuilt once, so a number taken from a book would be wrong by morning.
No. Nothing here is ordered by how good a bet it is, and no price is quoted anywhere on the page. The tables are ordered by sample depth, by spread and by the size of a measured gap, because those are the things a game log can actually establish.
The count is printed beside every one of them. A player only appears once they have ten or more logged games in the market, and games they did not play are absent rather than counted as zero, so an average describes games they were actually in.
No. A trend here is a comparison between a player’s last five logged games and their full log, and it is reported only when the gap is large enough to be worth naming. It is a description of what has happened, and history is not a forecast.
What these tables are measuring, explained: how to read a hit rate and what its denominator hides, what an over/under line is and what it is not.
NFL player props and live odds
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates, edges and grades are Parlay Builder’s own calculations.