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Across 27 NFL players with at least 10 logged games in interceptions, this page measures 443 games in total. The median player in that field averages 0.6 interceptions. The line closest to a coin flip sits at 0.5 for the median of the 27 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 22 logged games. Of the 4 players whose spread can be measured, 0 cluster tightly around their average, 0 vary moderately and 4 swing widely. 27 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.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Drake Maye | Patriots | 22 | 0.7 interceptions | Over 0.5 | 12 of 22 (55%) |
| Matthew Stafford | Rams | 21 | 0.5 interceptions | Over 0.5 | 7 of 21 (33%) |
| Caleb Williams | Bears | 20 | 0.6 interceptions | Over 0.5 | 9 of 20 (45%) |
| Josh Allen | Bills | 20 | 0.6 interceptions | Over 0.5 | 8 of 20 (40%) |
| Bo Nix | Broncos | 19 | 0.7 interceptions | Over 0.5 | 11 of 19 (58%) |
| Jared Goff | Lions | 19 | 0.4 interceptions | Over 0.5 | 7 of 19 (37%) |
| Sam Darnold | Seahawks | 19 | 0.7 interceptions | Over 0.5 | 8 of 19 (42%) |
| Trevor Lawrence | Jaguars | 19 | 0.7 interceptions | Over 0.5 | 10 of 19 (53%) |
| Aaron Rodgers | Steelers | 18 | 0.4 interceptions | Over 0.5 | 5 of 18 (28%) |
| Baker Mayfield | Buccaneers | 18 | 0.6 interceptions | Over 0.5 | 9 of 18 (50%) |
| Bryce Young | Panthers | 18 | 0.7 interceptions | Over 0.5 | 11 of 18 (61%) |
| Jalen Hurts | Eagles | 18 | 0.3 interceptions | Over 0.5 | 3 of 18 (17%) |
| Justin Herbert | Chargers | 18 | 0.8 interceptions | Over 0.5 | 12 of 18 (67%) |
| Cam Ward | Titans | 17 | 0.4 interceptions | Over 0.5 | 7 of 17 (41%) |
| Dak Prescott | Cowboys | 17 | 0.6 interceptions | Over 0.5 | 8 of 17 (47%) |
| C.J. Stroud | Texans | 16 | 0.8 interceptions | Over 0.5 | 8 of 16 (50%) |
| Geno Smith | Jets | 16 | 1.1 interceptions | Over 0.5 | 11 of 16 (69%) |
| Jordan Love | Packers | 16 | 0.4 interceptions | Over 0.5 | 6 of 16 (38%) |
| Patrick Mahomes | Chiefs | 15 | 0.8 interceptions | Over 0.5 | 9 of 15 (60%) |
| Tua Tagovailoa | Dolphins | 14 | 1.1 interceptions | Over 0.5 | 9 of 14 (64%) |
| Daniel Jones | Colts | 13 | 0.6 interceptions | Over 0.5 | 5 of 13 (38%) |
| Jacoby Brissett | Cardinals | 13 | 0.6 interceptions | Over 0.5 | 7 of 13 (54%) |
| Brock Purdy | 49ers | 12 | 1.2 interceptions | Over 1.5 | 4 of 12 (33%) |
| Jaxson Dart | Giants | 12 | 0.3 interceptions | Over 0.5 | 3 of 12 (25%) |
| Lamar Jackson | Ravens | 12 | 0.5 interceptions | Over 0.5 | 5 of 12 (42%) |
| Tyler Shough | Saints | 11 | 0.7 interceptions | Over 0.5 | 7 of 11 (64%) |
| Joe Flacco | Bengals | 10 | 1.0 interceptions | Over 0.5 | 7 of 10 (70%) |
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 |
|---|---|---|---|---|---|
| Brock Purdy | 49ers | 12 | 1.2 interceptions | 0.9 | 77% |
| Joe Flacco | Bengals | 10 | 1.0 interceptions | 0.8 | 77% |
| Geno Smith | Jets | 16 | 1.1 interceptions | 1.0 | 91% |
| Tua Tagovailoa | Dolphins | 14 | 1.1 interceptions | 1.0 | 96% |
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 |
|---|---|---|---|---|---|
| Tua Tagovailoa | Dolphins | 14 | 1.1 interceptions | 1.0 | 96% |
| Geno Smith | Jets | 16 | 1.1 interceptions | 1.0 | 91% |
| Brock Purdy | 49ers | 12 | 1.2 interceptions | 0.9 | 77% |
| Joe Flacco | Bengals | 10 | 1.0 interceptions | 0.8 | 77% |
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 |
|---|---|---|---|---|
| Joe Flacco | Bengals | 1.7 (3) | 0.7 (7) | 1.0 at home |
| Dak Prescott | Cowboys | 1.2 (6) | 0.4 (11) | 0.8 at home |
| Trevor Lawrence | Jaguars | 0.9 (14) | 0.2 (5) | 0.7 at home |
| Daniel Jones | Colts | 0.9 (8) | 0.2 (5) | 0.7 at home |
| Justin Herbert | Chargers | 0.5 (11) | 1.1 (7) | 0.6 away |
| Brock Purdy | 49ers | 0.7 (3) | 1.3 (9) | 0.6 away |
| C.J. Stroud | Texans | 0.6 (11) | 1.2 (5) | 0.6 away |
| Tyler Shough | Saints | 0.4 (5) | 1.0 (6) | 0.6 away |
| Josh Allen | Bills | 0.4 (11) | 0.9 (9) | 0.5 away |
| Baker Mayfield | Buccaneers | 0.9 (8) | 0.4 (10) | 0.5 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 |
|---|---|---|---|---|
| Drake Maye | Patriots | 1.4 interceptions | 0.7 over 22 | 105% above |
| Caleb Williams | Bears | 1.2 interceptions | 0.6 over 20 | 100% above |
| Jordan Love | Packers | 0.8 interceptions | 0.4 over 16 | 83% above |
| C.J. Stroud | Texans | 1.4 interceptions | 0.8 over 16 | 72% above |
| Baker Mayfield | Buccaneers | 1.0 interceptions | 0.6 over 18 | 64% above |
| Daniel Jones | Colts | 1.0 interceptions | 0.6 over 13 | 62% above |
| Patrick Mahomes | Chiefs | 1.2 interceptions | 0.8 over 15 | 50% above |
| Jared Goff | Lions | 0.6 interceptions | 0.4 over 19 | 43% above |
| Lamar Jackson | Ravens | 0.6 interceptions | 0.5 over 12 | 20% above |
| Bo Nix | Broncos | 0.8 interceptions | 0.7 over 19 | 17% 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 |
|---|---|---|---|---|
| Jalen Hurts | Eagles | 0.0 interceptions | 0.3 over 18 | 100% below |
| Sam Darnold | Seahawks | 0.2 interceptions | 0.7 over 19 | 71% below |
| Aaron Rodgers | Steelers | 0.2 interceptions | 0.4 over 18 | 55% below |
| Cam Ward | Titans | 0.2 interceptions | 0.4 over 17 | 51% below |
| Jaxson Dart | Giants | 0.2 interceptions | 0.3 over 12 | 40% below |
| Josh Allen | Bills | 0.4 interceptions | 0.6 over 20 | 33% below |
| Geno Smith | Jets | 0.8 interceptions | 1.1 over 16 | 25% below |
| Tua Tagovailoa | Dolphins | 0.8 interceptions | 1.1 over 14 | 25% below |
| Justin Herbert | Chargers | 0.6 interceptions | 0.8 over 18 | 23% below |
| Joe Flacco | Bengals | 0.8 interceptions | 1.0 over 10 | 20% 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.