Late Swap

A rule whereby you can swap out players anytime before their kickoff.

DraftKings and FanDuel both offer late swaps, but not in all of their contests.

Linemaker

A person, typically a sportsbook employee, who sets betting lines for an event.

A linemaker (a.k.a. oddsmaker) will adjust his or her opening line as bets come in. Their goal is generally to attract an even amount of bets on each side of the line. So their lines must be accurate.

The top Vegas linemakers have the best statistics, trend data, backtesting and technology at their disposal. And they’re masters of sports bettor psychology — i.e., they know all the public’s biases. That leads to very precise lines the overwhelming majority of the time.

OppPosRnk

A DFS Hub field that equals the opposing team’s NFL rank when defending the player’s position. The range is 1 to 32.

Lower numbers are worse for the player because it means the opposing team is ranked higher at defending that position.

In other words, a value like 2 implies fewer fantasy points for the player than a value like 29 (other things equal).

OppPts

Opponent Points

The number of points the opponent is expected to score in its upcoming game.

Another term for this is the opposing team total.

Over-Under

A wager, or prediction, on whether the outcome of an event will be higher or lower than the number established by an oddsmaker.

In the NFL, over-unders most commonly refer to the total combined points that two teams will score in a game.

An over-under of 52 means that linesmakers are predicting both teams will score 52 points combined. Bettors then wager on whether that number will be higher or lower. The respective DFS Hub field for this prediction is called [OverUnder].

In DFS, over-unders matter to those looking for high scoring. High scoring improves the chances that players in that game will accumulate more fantasy points.

Over-unders can be combined with the point spread to determine how many points the linesmaker expects each team to score. This is called the “implied team total.”

Here is the formula for it:

Expected team points = (Over-under / 2) – (Pointspread / 2)

Here’s a simple example. Suppose the over-under on the Green Bay / New England game is 50 and the Green Bay Packers are favored by 7 points.

Green Bay would therefore be expected to score:

(50 / 2) – (-7 / 2) = 28.5

New England would be expected to score:

(50 / 2) – (+7 / 2) = 21.5

Why do these numbers matter? Let us count the ways.

Quarterbacks, for example, tend to rack up more fantasy points when they’re on a team with a high implied total, particularly if their team is favored.

Conversely, fantasy defenses (DSTs) tend to perform better when the opponent is an underdog and its implied total is low.

Unfortunately, there’s no free lunch. Players in games with high over-unders tend to be more widely owned, with higher salaries. That’s a problem in a salary-capped DFS contest, especially in a tournament where player ownership impacts your likelihood of winning the big money.

OverUnder

A DFS Hub field that equals the consensus over-under for the game at hand.

It’s Vegas’s prediction of how much both teams will score, combined.

For more, see:

PFFAccuracyPercent

A DFS Hub field equalling a QB’s Adjusted Completion Percentage as calculated by Pro Football Focus (PFF). Adjusted Completion Percentage is also known as “accuracy percentage.”

Adjusted Completion Percentage refers to the percentage of aimed passes thrown on target — i.e.,
( completions + drops ) / aimed passes.

The value shown is for the entire season to date.

The best DFS QBs are over 77%.

Source: Pro Football Focus

For more, see:

PFFAvgDepthOfTargetReceivingSummary

Average depth of target.

aDOT, as it’s often called, equals Air Yards divided by a receiver’s number of targets.

Average depth of target measures how deep a receiver runs his routes, and it’s more predictive than yards per reception.

aDOT varies by role. Receivers who spend more than 40% of their time in the slot, for example, usually have below-average aDOT stats.

The NFL average is about 11 for receivers and 7.5 for tight ends.

High aDOT receivers tend to be big play threats and can have high ceilings. But the best wide receivers don’t have to be above-average in aDOT. Superstar Devante Adams had an average target depth of just 9.4 in 2020. But he also had a notably better catch rate, target count, yards-after-catch average and separation from defenders, versus a typical receiver.

The value shown is for the entire season to date.

Source: Pro Football Focus

PFFBreakawayPercent

Breakaway Percentage.

The percentage of designed rushing attempts that went for more than 15 yards

The value shown is for the entire season to date.

Source: Pro Football Focus

For more, see:

PFFCOV

A DFS Hub field that represents Pro Football Focus’s (PFF’s) grade for a team’s for defensive coverage against receivers.

For more, see: