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Across 104 NFL players with at least 10 logged games in anytime touchdown, this page measures 1541 games in total. The deepest sample here is Drake Maye, with 22 logged games. Of the 3 players whose spread can be measured, 3 cluster tightly around their average, 0 vary moderately and 0 swing widely. 103 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 104 measured; the figures above this table are over all 104.
| Player | Club | Logged games | Games with one | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Drake Maye | Patriots | 22 | 19 games | — | — |
| Kyren Williams | Rams | 21 | 10 games | — | — |
| Matthew Stafford | Rams | 21 | 19 games | — | — |
| Caleb Williams | Bears | 20 | 17 games | — | — |
| James Cook | Bills | 20 | 9 games | — | — |
| Josh Allen | Bills | 20 | 16 games | — | — |
| Kenneth Walker III | Chiefs | 20 | 7 games | — | — |
| Bo Nix | Broncos | 19 | 16 games | — | — |
| Jared Goff | Lions | 19 | 19 games | — | — |
| Jaxon Smith-Njigba | Seahawks | 19 | 10 games | — | — |
| Puka Nacua | Rams | 19 | 10 games | — | — |
| Sam Darnold | Seahawks | 19 | 14 games | — | — |
| Trevor Lawrence | Jaguars | 19 | 16 games | — | — |
| Aaron Rodgers | Steelers | 18 | 15 games | — | — |
| Amon-Ra St. Brown | Lions | 18 | 9 games | — | — |
| Baker Mayfield | Buccaneers | 18 | 16 games | — | — |
| Bryce Young | Panthers | 18 | 14 games | — | — |
| Christian McCaffrey | 49ers | 18 | 8 games | — | — |
| Davante Adams | Rams | 18 | 10 games | — | — |
| Jalen Hurts | Eagles | 18 | 14 games | — | — |
| Jonathan Taylor | Colts | 18 | 10 games | — | — |
| Justin Herbert | Chargers | 18 | 16 games | — | — |
| Trey McBride | Cardinals | 18 | 10 games | — | — |
| Bijan Robinson | Falcons | 17 | 6 games | — | — |
| Cam Ward | Titans | 17 | 12 games | — | — |
| D'Andre Swift | Bears | 17 | 8 games | — | — |
| Dak Prescott | Cowboys | 17 | 14 games | — | — |
| Derrick Henry | Ravens | 17 | 10 games | — | — |
| Jaylen Warren | Steelers | 17 | 4 games | — | — |
| Justin Jefferson | Vikings | 17 | 3 games | — | — |
| Keenan Allen | Colts | 17 | 4 games | — | — |
| Saquon Barkley | Eagles | 17 | 7 games | — | — |
| Travis Etienne | Jaguars | 17 | 5 games | — | — |
| Zay Flowers | Ravens | 17 | 5 games | — | — |
| Breece Hall | Jets | 16 | 4 games | — | — |
| C.J. Stroud | Texans | 16 | 14 games | — | — |
| Chase Brown | Bengals | 16 | 6 games | — | — |
| Chris Olave | Saints | 16 | 7 games | — | — |
| Courtland Sutton | Broncos | 16 | 8 games | — | — |
| Geno Smith | Jets | 16 | 11 games | — | — |
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 |
|---|---|---|---|---|---|
| Jared Goff | Lions | 19 | 1.0 touchdowns | 0.0 | 0% |
| Daniel Jones | Colts | 13 | 1.0 touchdowns | 0.0 | 0% |
| Jacoby Brissett | Cardinals | 13 | 1.0 touchdowns | 0.0 | 0% |
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 |
|---|---|---|---|---|---|
| Jared Goff | Lions | 19 | 1.0 touchdowns | 0.0 | 0% |
| Daniel Jones | Colts | 13 | 1.0 touchdowns | 0.0 | 0% |
| Jacoby Brissett | Cardinals | 13 | 1.0 touchdowns | 0.0 | 0% |
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 |
|---|---|---|---|---|
| Zay Flowers | Ravens | 0.0 (9) | 0.6 (8) | 0.6 away |
| Kyle Pitts | Falcons | 0.0 (9) | 0.6 (5) | 0.6 away |
| Quinshon Judkins | Browns | 0.0 (6) | 0.6 (7) | 0.6 away |
| A.J. Brown | Eagles | 0.0 (6) | 0.6 (7) | 0.6 away |
| Christian McCaffrey | 49ers | 0.8 (5) | 0.3 (13) | 0.5 at home |
| Troy Franklin | Broncos | 0.7 (6) | 0.2 (5) | 0.5 at home |
| Jonathan Taylor | Colts | 0.4 (10) | 0.8 (8) | 0.4 away |
| Tetairoa McMillan | Panthers | 0.4 (9) | 0.0 (7) | 0.4 at home |
| Tony Pollard | Titans | 0.5 (6) | 0.1 (10) | 0.4 at home |
| Jakobi Meyers | Jaguars | 0.4 (7) | 0.0 (6) | 0.4 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 |
|---|---|---|---|---|
| Zay Flowers | Ravens | 0.8 touchdowns | 0.3 over 17 | 172% above |
| Michael Wilson | Cardinals | 0.8 touchdowns | 0.4 over 11 | 120% above |
| DJ Moore | Bills | 1.0 touchdowns | 0.5 over 15 | 114% above |
| Harold Fannin Jr. | Browns | 0.6 touchdowns | 0.3 over 13 | 95% above |
| Kyle Pitts | Falcons | 0.4 touchdowns | 0.2 over 14 | 87% above |
| Kenneth Walker III | Chiefs | 0.6 touchdowns | 0.3 over 20 | 71% above |
| Stefon Diggs | Commanders | 0.6 touchdowns | 0.4 over 14 | 68% above |
| Tetairoa McMillan | Panthers | 0.4 touchdowns | 0.3 over 16 | 60% above |
| Breece Hall | Jets | 0.4 touchdowns | 0.3 over 16 | 60% above |
| Chase Brown | Bengals | 0.6 touchdowns | 0.4 over 16 | 60% 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 |
|---|---|---|---|---|
| Keenan Allen | Colts | 0.0 touchdowns | 0.2 over 17 | 100% below |
| Travis Etienne | Jaguars | 0.0 touchdowns | 0.3 over 17 | 100% below |
| Travis Kelce | Chiefs | 0.0 touchdowns | 0.3 over 15 | 100% below |
| Emeka Egbuka | Buccaneers | 0.0 touchdowns | 0.3 over 15 | 100% below |
| DK Metcalf | Steelers | 0.0 touchdowns | 0.3 over 14 | 100% below |
| Rome Odunze | Bears | 0.0 touchdowns | 0.4 over 13 | 100% below |
| Tyler Allgeier | Cardinals | 0.0 touchdowns | 0.4 over 10 | 100% below |
| J.K. Dobbins | Broncos | 0.0 touchdowns | 0.4 over 10 | 100% below |
| Michael Pittman | Colts | 0.2 touchdowns | 0.6 over 12 | 66% below |
| Davante Adams | Rams | 0.2 touchdowns | 0.6 over 18 | 64% 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.