Guide

What should I check before betting an anytime touchdown prop?

Quick answer

Five things, in order: red zone touches and red zone targets per game, target share and snap share, what the defence concedes to that specific position, the price against the rest of the market, and the sample size behind all of it. The defensive step is the one most people skip. In 2025, touchdowns allowed to wide receivers ran from 0.41 a game at the stingiest defence to 1.53 at the most generous, and to tight ends from 0.18 to 1.00. That is a spread of three to five times depending on which position you are backing.

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Anytime touchdown is the biggest prop market in American betting and the one people research the least, because the bet feels like it needs no research. He scores or he does not.

Here is the order we check things in, and the number behind each step. Every one of them is something you can look up. None of them is a prediction.

1. Red zone touches and red zone targets, per game

A touchdown is scored almost entirely from inside the twenty. So the first question is not how good the player is, it is how often he is on the field with the ball near the goal line.

The two numbers are red zone touches per game (carries plus receptions inside the twenty) and red zone targets per game. They are different questions for different positions: for a running back the touches number carries the signal, for a receiver or tight end it is the targets.

Compare against the positional average rather than against zero. A tight end at 1.6 red zone targets a game means nothing until you know that most tight ends are nearer half of that.

2. Target share and snap share

Red zone numbers are small and noisy by nature, so the second step is the volume underneath them. Snap share tells you he is on the field. Target share tells you the offence is looking for him when he is.

These matter most when the red zone sample is thin, which in September it always is. A player with three red zone targets in two games has told you very little. A player with a 28% target share on 90% of snaps has told you something about how he is being used, and the red zone numbers will follow the usage more often than the other way round.

3. What the defence concedes, to that specific position

This is the step almost everybody skips, and it is the one with the widest numbers in it.

Defences are not uniformly good or bad against touchdowns. They are good or bad against a position, and the spread is large. Across the 2025 season:

Allowed per game, 2025StingiestMost generousSpread
Touchdowns to wide receivers0.411.533.7x
Touchdowns to tight ends0.181.005.5x
Red zone targets to tight ends0.712.183.1x

A tight end facing the most generous defence in that column is in a spot better than three times the spot he is in against the stingiest one, and none of that is visible in his own stat line.

Two things about those numbers, because both matter.

They are 2025 season figures, measured across 32 teams from about 49,000 plays. We use last season deliberately: two weeks into 2026 there is no defensive sample worth ranking, and a rank built on two games is noise wearing a number.

And they are position-specific by design. “This defence is bad against the pass” is not a usable fact. “This defence allowed the most red zone targets to tight ends in the league last season, at 2.18 a game against a league low of 0.71” is one, and it is the shape of sentence worth building a bet on.

Quote a rank out of 32 and the season it came from. Never “soft matchup.”

This season’s figures are on NFL Defense vs Position: touchdowns allowed per game to each position for every defense, with its rank out of 32 and the game count behind it. Those counts are still small, so read them as this season so far, not as a settled rank.

4. The price, against the whole board and not your app

Everything above tells you whether you like the player. The price tells you whether you like the bet, and they are not the same question.

A note specific to this market: you cannot devig an anytime touchdown prop the usual way. There is no under. The standard method, adding both sides’ implied probabilities and stripping out the margin, needs two sides and this market has one. So the comparison is against other books: what are the other seventeen quoting on the same player.

That matters more here than in most markets because touchdown props are longshots, and longshots are where books hang their widest numbers. On our own board, the spread between the cheapest and dearest book on a comparable longshot market ran about seven points of implied probability.

How that plays out book by book is counted in which sportsbook has the best anytime touchdown odds: on our NFL week 3 board, no single book had the best price on more than about a quarter of the players it priced.

How far apart the typical prices are by position, from a lead running back to a quarterback, is laid out in anytime touchdown odds by position.

5. The sample behind all of it

The last step is the one that cancels the other four when it fails.

Twenty games is the floor our baseball model and our NFL game pages use before they trust a hit rate. In football that floor bites much harder: when we measured in September 2026, the median player in our NFL game logs had 12 games. The board still shows those shorter histories, so in September look at how many games sit under a rate before you lean on it.

That is a reason to lean on the season-long defensive picture and on usage rather than on a player’s own touchdown rate, which in week two is four or five games of a coin landing.

What this page is not

It is not a claim that any of this predicts a touchdown. Usage rates and defensive ranks are descriptions of what has happened. We have run no outcome study on football and have no settled football sample to run one on: our football board went live on 7 September 2026, which is days, not seasons. When there is a study, it gets its own page with the sample attached.

It is also not a claim about our own results. Our public pick record started on 25 September 2026, and nothing here cites it.

What it is: the five things worth looking at, in the order that stops you wasting time, with real numbers attached to the step people skip.

Where to find these

The Lab NFL board carries the anytime touchdown market with every book we track priced side by side and the player’s hit rate attached, which covers steps 4 and 5. The red zone and defensive inputs above come from our own pipeline and are not on that board today.

One warning that applies here as much as anywhere: a number built on a short window usually looks more predictive than it is, and do L5 and L10 prop trends matter covers why.

Defensive figures are the 2025 NFL season across 32 teams. Player usage figures come from our own game logs, 786 players. No sportsbook was contacted and there are no affiliate links on this page.

Written by Ben at Steezanomics. Every public Lab play since Sep 25, 2026 is logged, losses included.

Quick answers

What stats matter for anytime touchdown props?

Red zone touches and red zone targets per game, target share and snap share on the player's side, and touchdowns allowed to that specific position on the defence's side. Then the price, against every book on the board rather than the one you are in.

How much do defences actually differ on touchdowns allowed?

More than most people assume, and it is position-specific. Across the 2025 season, touchdowns allowed to wide receivers ran from 0.41 a game to 1.53, and to tight ends from 0.18 to 1.00. Red zone targets allowed to tight ends ran from 0.71 a game to 2.18.

Why can't you devig an anytime touchdown prop?

Because there is no under. Anytime touchdown is a one-sided market, so the usual method of adding both implied probabilities and stripping the margin does not apply. You compare the price against other books instead.

Is red zone usage the best predictor of a touchdown?

We do not make that claim. This page is about what to check and where each number comes from. We have run no outcome study on football and we have no settled football sample to run one on.

How many games of history do you need?

Enough that the rate is not one good afternoon. Our baseball model and our NFL game pages want 20 games before they trust a hit rate, and the median NFL player in our logs had 12 when we measured in September 2026, so for a lot of players early in a season the sample is thin. The board still shows the shorter histories, so check how many games sit under a rate.

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