Methodology

How the math works

Every chart here is drawn by the same code that scores the site. Nothing is illustrative except the inputs named in the captions.

Grading and units

Every pick risks exactly 1 unit at the odds posted when the line went up. A final total above the line wins an Over; below wins an Under; exactly on the line is a push and the unit is refunded.

win at −110 → +100/110 = +0.909u · win at +120 → +1.20u · loss → −1u · push → 0u

Win rate ignores pushes: wins ÷ (wins + losses). ROI is units won per unit risked on decided picks.

What one winning unit pays at each price. Standard −110 (gold) pays back less than the unit you risked — that gap is the book's edge.

Break-even

American odds imply a probability. For negative odds −A it is A ÷ (A + 100); for positive odds +B it is 100 ÷ (B + 100).

−110 → 110 / 210 = 52.38%

That is the win rate needed to break even. Removing the vig from a two-sided market (dividing each side by their sum) gives the book's fair probabilities; at −110/−110 that is 50/50 and the book's hold is 4.55%.

The win rate you must hit just to tread water, by price. Laying −150 means you need 60%; taking +150 only needs 40%. Everything to the left of the dashed 50% line is the book's cut.

Is it skill or luck?

95% range is the Wilson score interval, which stays honest at small sample sizes where the textbook p ± 1.96·SE formula breaks.

Sharp probability is Bayesian: start from a uniform prior on a player's true win rate, update with their wins and losses to get a Beta(W+1, L+1) posterior, and report the probability that it sits above break-even. It's computed exactly with the regularized incomplete beta function.

P(true rate > 52.38%) = 1 − I₀.₅₂₃₈(W + 1, L + 1)
Picking 55% winnersPicking 58% winnersPicking 62% winners
The low end of the 95% range as picks pile up, for someone genuinely hitting 55%, 58% or 62%. It has to clear the gold line before the record means anything: about 110 picks at 62%, 305 at 58%, and 1370 at 55% — most of a decade of Sundays.
Picking 55% winnersPicking 58% winnersPicking 62% winners
The same three players' sharp probability. A 55% picker doesn't reach 95% confidence inside a season; that's why the leaderboard shows ranges, not just records.

Combining the crowd

Majority vote takes whichever side more people picked. Ties sit out. By Condorcet's jury theorem, if voters are independent and each is right more than half the time, the majority gets more accurate as the group grows — but correlated voters (friends who talk it over) add less than they seem to. That's why picks stay hidden until lock.

Skill-weighted uses the optimal rule for independent yes/no voters (Nitzan–Paroush): each vote counts by the log-odds of that person being right.

log-odds(Over) = Σ sᵢ · ln(pᵢ / (1 − pᵢ)), sᵢ = +1 Over / −1 Under
pᵢ = (winsᵢ + 10) / (decidedᵢ + 20)

The 10 phantom wins and losses shrink small samples toward 50%, so a hot 4–0 start barely moves the needle while 60–40 over a hundred picks does. Anyone below 50% gets a negative weight — the model fades them. Weights are rebuilt walk-forward using only results settled before each game started, so the crowd's historical record has no look-ahead.

Each voter right 52% of the timeEach voter right 55% of the timeEach voter right 60% of the time
Condorcet in action: how often the majority of an odd-sized group is right, if each member is independently right 52%, 55% or 60% of the time. Small individual edges compound fast — when the votes are independent.
Raw log-oddsAfter 20 picks (10 phantom wins & losses)After 100 picks
A voter's weight by observed win rate. The dashed line is raw log-odds; the solid lines show what 10 phantom wins and losses do to it after 20 picks versus 100. Early streaks are damped; long records are trusted.

Spreads: The Number

Final margins in the NFL aren't smooth: field goals and touchdowns make games end by 3 and 7 far more often than by 2 or 8. The Number doesn't assume a bell curve — for the spread you enter, it takes every regular-season game since 1999 that closed at that number (6,999 games from nflverse) and reads off what happened.

P(cover) = games where margin > line ÷ games · P(push) = games where margin = line ÷ games

Win probability also shows the classic normal model, Φ(spread ÷ σ), with σ = 13.19 fitted from the same games (final margin minus closing spread). Your own number works the same way: the model uses games that closed at your spread and asks how often they beat the market's line — so a half point through 3 or 7 counts for what it's really worth.

How often games are decided by each margin. Three (15%) and seven (9%) tower over their neighbours; six, ten and fourteen are the minor key numbers. This is why −2.5 and −3 are not the same bet.
Normal model, σ = 13.2Real games at that spread
The favorite's win probability by closing spread: the normal model (dashed) against the real win rate of games that closed at each number (dots). A 3-point favorite wins about 59% of the time; a touchdown favorite about 70%.

Closing-line value

A 17-week season is about 270 games — far too few to tell a 55% picker from a lucky coin. What can be measured is whether a pick got a better number than the market settled on at kickoff. Bettors who consistently beat the closing line are the ones who profit over time; the close is the market's best estimate, and beating it by a point is worth about a point of expected margin.

spread CLV = line taken − closing line, from the picker's side (home −6.5 that closes −7.5 → +1.0 for the home backer)
total CLV = over: close − line taken · under: line taken − close

The site records each game's closing spread and total (from an odds feed before kickoff, or typed in by a commissioner) and shows every player's CLV in points and how often they beat the close. In the pick'em everyone plays the same frozen number, so CLV there measures which side the market moved toward after the freeze — a cleaner read on judgement than wins and losses. Half a point through 3 or 7 is worth more than half a point elsewhere, and The Number's margin distributions are used to price it.

Spread pick'em

Everyone picks every game against the same frozen spread and puts confidence points on it: 11 games at 1 point, 4 at 2 and 1 at 3 — 22 points if you sweep. A pick scores its points when the team covers; a push scores nothing. The pot is the buy-in times the paid entries, and it all goes back out each week.

coin-flipper: 11.0 ± 3.0 points · "vs. coin" = your points − 11 · best of 8 coins ≈ 15.2

Two honesty checks sit next to every score. vs. coin is how far a week beat what random picking averages. Skill? is the exact binomial chance a coin-flipper would hit at least that many of your decided picks — lower is more impressive. And because the pot goes to the best of eight entries, the winning score among eight pure coin-flippers is usually about 15, not 11: beating that is the bar.

The Crowd is a ghost entry: the majority side on every game, ties broken by total confidence, with the biggest point values on the most lopsided votes. If it keeps up with the winner, the room's consensus is worth something.

Coin flip on every game: 11 ± 3.0 pointsScores that beat what luck usually wins with
Exactly how a coin-flipper scores under the 11×1, 4×2, 1×3 format (the distribution is computed, not simulated). Gold bars are scores that beat what luck alone typically wins a week with.

Where the money goes

The pot pays deeper as the field grows, on the ladder Sam wrote. Up to five entries the winner takes everything. At six, second place opens and takes whatever is left above the winner's $50. At eight the winner's cut steps up to $60. At ten, third place opens at $10, and from there every extra entry adds its buy-in to the next place down: first, then second, then third, and around again.

1–5: winner takes all · 6: $50/$10 · 7: $50/$20 · 8: $60/$20 · 9: $60/$30 · 10: $60/$30/$10 · 11+: +$10 to 1st, then 2nd, then 3rd

Two properties are worth stating because the site enforces them. The shares always sum to the pot exactly, to the cent, at any buy-in. And a place is never worth more than the one above it. Ties share every place they cover: two players tied for first in a three-place week split first and second between them, and third is still paid to the next score down.

1st2nd3rd
The ladder at a $10 buy-in. Each bar is one week's whole pot, cut into the places it pays. Second place opens at six entries, third at ten.
1st place's share2nd3rd
The same ladder as a share of the pot. First place takes everything up to five entries and about 60% at ten. After that each extra buy-in is shared evenly around the three places, so first place's cut keeps easing toward an even split as the field deepens.

Stat Lab: totals

The fair line is the median of the data rounded to the half point (half the outcomes land on each side). Over probabilities come from two sources: the historical hit rate, and a normal model fitted to the sample mean and standard deviation (with a continuity correction for whole-number totals). Expected value averages the two, and pushes drop out because the stake comes back:

EV = P(win) · profit − P(loss)
Over 44: 51% of the curveUnder: 49%
The normal model on the lab's sample slate (17 totals, mean 44.8, σ 8.9) tested at a line of 44. The blue share of the curve is the model's over probability; the whole-number correction means the split happens at 44.5, not 44.