This page is loading and it needs JavaScript. The written page below is served without it.
Across 72 NFL players with at least 10 logged games in rushing TDs, this page measures 1314 games in total. The median player in that field averages 0.3 rushing touchdowns. The line closest to a coin flip sits at 0.5 for the median of the 72 players whose distribution supports one. Half the field is more often over it, half more often under. The deepest sample here is Drake Maye, with 25 logged games. Of the 1 players whose spread can be measured, 0 cluster tightly around their average, 0 vary moderately and 1 swing widely. 72 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 72 measured; the figures above this table are over all 72.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Drake Maye | Patriots | 25 | 0.2 rushing touchdowns | Over 0.5 | 5 of 25 (20%) |
| AJ Barner | Seahawks | 24 | 0.1 rushing touchdowns | Over 0.5 | 3 of 24 (13%) |
| Blake Corum | Rams | 24 | 0.4 rushing touchdowns | Over 0.5 | 8 of 24 (33%) |
| Kyren Williams | Rams | 24 | 0.7 rushing touchdowns | Over 0.5 | 13 of 24 (54%) |
| D'Andre Swift | Bears | 23 | 0.8 rushing touchdowns | Over 0.5 | 11 of 23 (48%) |
| Kenneth Walker III | Chiefs | 23 | 0.6 rushing touchdowns | Over 0.5 | 9 of 23 (39%) |
| Bijan Robinson | Falcons | 22 | 0.5 rushing touchdowns | Over 0.5 | 8 of 22 (36%) |
| Bo Nix | Broncos | 22 | 0.3 rushing touchdowns | Over 0.5 | 5 of 22 (23%) |
| Christian McCaffrey | 49ers | 22 | 0.9 rushing touchdowns | Over 0.5 | 15 of 22 (68%) |
| James Cook | Bills | 22 | 0.7 rushing touchdowns | Over 0.5 | 11 of 22 (50%) |
| Jaylen Warren | Steelers | 22 | 0.4 rushing touchdowns | Over 0.5 | 6 of 22 (27%) |
| Rhamondre Stevenson | Patriots | 22 | 0.3 rushing touchdowns | Over 0.5 | 6 of 22 (27%) |
| TreVeyon Henderson | Patriots | 22 | 0.4 rushing touchdowns | Over 0.5 | 5 of 22 (23%) |
| Tyler Allgeier | Cardinals | 22 | 0.4 rushing touchdowns | Over 0.5 | 7 of 22 (32%) |
| Ashton Jeanty | Raiders | 21 | 0.2 rushing touchdowns | Over 0.5 | 4 of 21 (19%) |
| Caleb Williams | Bears | 21 | 0.2 rushing touchdowns | Over 0.5 | 3 of 21 (14%) |
| Derrick Henry | Ravens | 21 | 1.0 rushing touchdowns | Over 0.5 | 11 of 21 (52%) |
| Emanuel Wilson | Seahawks | 21 | 0.3 rushing touchdowns | Over 0.5 | 5 of 21 (24%) |
| Jonathan Taylor | Colts | 21 | 1.0 rushing touchdowns | Over 0.5 | 12 of 21 (57%) |
| Josh Allen | Bills | 21 | 1.0 rushing touchdowns | Over 0.5 | 13 of 21 (62%) |
| Trevor Lawrence | Jaguars | 21 | 0.3 rushing touchdowns | Over 0.5 | 5 of 21 (24%) |
| Woody Marks | Texans | 21 | 0.2 rushing touchdowns | Over 0.5 | 4 of 21 (19%) |
| Bryce Young | Panthers | 20 | 0.1 rushing touchdowns | Over 0.5 | 3 of 20 (15%) |
| Cam Ward | Titans | 20 | 0.2 rushing touchdowns | Over 0.5 | 3 of 20 (15%) |
| Chase Brown | Bengals | 20 | 0.3 rushing touchdowns | Over 0.5 | 5 of 20 (25%) |
| Chuba Hubbard | Panthers | 20 | 0.4 rushing touchdowns | Over 0.5 | 6 of 20 (30%) |
| Jahmyr Gibbs | Lions | 20 | 0.9 rushing touchdowns | Over 0.5 | 10 of 20 (50%) |
| Javonte Williams | Cowboys | 20 | 0.8 rushing touchdowns | Over 0.5 | 12 of 20 (60%) |
| RJ Harvey | Broncos | 20 | 0.4 rushing touchdowns | Over 0.5 | 6 of 20 (30%) |
| Tony Pollard | Titans | 20 | 0.5 rushing touchdowns | Over 0.5 | 5 of 20 (25%) |
| Bhayshul Tuten | Jaguars | 19 | 0.4 rushing touchdowns | Over 0.5 | 8 of 19 (42%) |
| Kyle Monangai | Bears | 19 | 0.4 rushing touchdowns | Over 0.5 | 7 of 19 (37%) |
| Aaron Jones | Vikings | 18 | 0.2 rushing touchdowns | Over 0.5 | 4 of 18 (22%) |
| Brian Robinson | Falcons | 18 | 0.3 rushing touchdowns | Over 0.5 | 4 of 18 (22%) |
| Kimani Vidal | Chargers | 18 | 0.2 rushing touchdowns | Over 0.5 | 4 of 18 (22%) |
| Kirk Cousins | Raiders | 18 | 0.2 rushing touchdowns | Over 0.5 | 3 of 18 (17%) |
| Ollie Gordon II | Dolphins | 18 | 0.3 rushing touchdowns | Over 0.5 | 6 of 18 (33%) |
| Quinshon Judkins | Browns | 18 | 0.4 rushing touchdowns | Over 0.5 | 4 of 18 (22%) |
| Rico Dowdle | Steelers | 18 | 0.3 rushing touchdowns | Over 0.5 | 4 of 18 (22%) |
| Samaje Perine | Bengals | 18 | 0.2 rushing touchdowns | Over 0.5 | 4 of 18 (22%) |
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 |
|---|---|---|---|---|---|
| Josh Allen | Bills | 21 | 1.0 rushing touchdowns | 0.9 | 91% |
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 |
|---|---|---|---|---|---|
| Josh Allen | Bills | 21 | 1.0 rushing touchdowns | 0.9 | 91% |
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 |
|---|---|---|---|---|
| Josh Allen | Bills | 1.8 (8) | 0.6 (13) | 1.2 at home |
| D'Andre Swift | Bears | 0.4 (13) | 1.3 (10) | 0.9 away |
| Bucky Irving | Buccaneers | 0.2 (9) | 1.0 (6) | 0.8 away |
| Jaxson Dart | Giants | 0.2 (5) | 1.0 (6) | 0.8 away |
| Javonte Williams | Cowboys | 0.4 (10) | 1.1 (10) | 0.7 away |
| De'Von Achane | Dolphins | 0.8 (8) | 0.2 (6) | 0.6 at home |
| Jahmyr Gibbs | Lions | 1.2 (10) | 0.6 (10) | 0.6 at home |
| Tyler Shough | Saints | 0.0 (9) | 0.6 (9) | 0.6 away |
| Kimani Vidal | Chargers | 0.6 (7) | 0.0 (11) | 0.6 at home |
| Josh Jacobs | Packers | 1.0 (6) | 0.4 (9) | 0.6 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 |
|---|---|---|---|---|
| Joe Burrow | Bengals | 0.6 rushing touchdowns | 0.2 over 14 | 180% above |
| J.K. Dobbins | Broncos | 0.6 rushing touchdowns | 0.2 over 14 | 180% above |
| Tony Pollard | Titans | 1.2 rushing touchdowns | 0.5 over 20 | 167% above |
| Drake Maye | Patriots | 0.6 rushing touchdowns | 0.2 over 25 | 150% above |
| Kirk Cousins | Raiders | 0.4 rushing touchdowns | 0.2 over 18 | 140% above |
| Brian Robinson | Falcons | 0.8 rushing touchdowns | 0.3 over 18 | 140% above |
| Bucky Irving | Buccaneers | 1.2 rushing touchdowns | 0.5 over 15 | 125% above |
| Blake Corum | Rams | 0.8 rushing touchdowns | 0.4 over 24 | 113% above |
| Emanuel Wilson | Seahawks | 0.6 rushing touchdowns | 0.3 over 21 | 110% above |
| Chuba Hubbard | Panthers | 0.8 rushing touchdowns | 0.4 over 20 | 100% 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 |
|---|---|---|---|---|
| TreVeyon Henderson | Patriots | 0.0 rushing touchdowns | 0.4 over 22 | 100% below |
| Caleb Williams | Bears | 0.0 rushing touchdowns | 0.2 over 21 | 100% below |
| Trevor Lawrence | Jaguars | 0.0 rushing touchdowns | 0.3 over 21 | 100% below |
| Chase Brown | Bengals | 0.0 rushing touchdowns | 0.3 over 20 | 100% below |
| Bryce Young | Panthers | 0.0 rushing touchdowns | 0.1 over 20 | 100% below |
| Cam Ward | Titans | 0.0 rushing touchdowns | 0.2 over 20 | 100% below |
| Ty Johnson | Bills | 0.0 rushing touchdowns | 0.2 over 18 | 100% below |
| Daniel Jones | Colts | 0.0 rushing touchdowns | 0.2 over 17 | 100% below |
| Patrick Mahomes | Chiefs | 0.0 rushing touchdowns | 0.2 over 17 | 100% below |
| Travis Etienne | Saints | 0.0 rushing touchdowns | 0.3 over 16 | 100% 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 and grades are Parlay Builder’s own calculations.