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NFL Model vs Market Disagreements

NFL games where our model gives a team a clearly higher win probability than the betting market does. Showing gaps of 5 points or more.

11 NFL games where the model and market disagree
NFLSun, Oct 11 at 5:00 PM
HOU at TEN
Model favors TEN
TEN win chance
53%model24%market
29-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 8:25 PM
DET at ARI
Model favors ARI
ARI win chance
54%model31%market
23-point disagreement
ModelMarket (no vig)
NFLFri, Oct 9 at 12:15 AM
TB at DAL
Model favors TB
TB win chance
40%model21%market
19-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 5:00 PM
NYG at WSH
Model favors NYG
NYG win chance
56%model39%market
17-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 5:00 PM
CIN at MIA
Model favors MIA
MIA win chance
42%model27%market
15-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 5:00 PM
CLE at NYJ
Model favors NYJ
NYJ win chance
64%model53%market
11-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 1:30 PM
PHI at JAX
Model favors PHI
PHI win chance
35%model25%market
10-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 5:00 PM
CHI at GB
Model favors GB
GB win chance
55%model46%market
9-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 8:05 PM
DEN at LAC
Model favors LAC
LAC win chance
47%model38%market
9-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 5:00 PM
IND at PIT
Model favors PIT
PIT win chance
65%model57%market
8-point disagreement
ModelMarket (no vig)
NFLSun, Oct 11 at 5:00 PM
MIN at NO
Model favors MIN
MIN win chance
60%model54%market
6-point disagreement
ModelMarket (no vig)

How we measure a disagreement

For every game our model gives each team a win probability. The betting market gives one too, hidden inside the odds. When the two numbers are far apart, that's a disagreement. Say the model makes the home team 60% to win and the market works out to 52%. That's an 8-point disagreement, and it's how we rank NFL games on this page.

We take the sportsbook's margin (the “vig”) out of the odds first, so we compare the model with a fair market number, not a price padded in the book's favor. The implied probability explainer walks through that math with a worked example.

What a disagreement does and doesn't tell you

It tells you the model reads the game differently from the market. It doesn't tell you who wins. A team at 60% still loses 4 games in 10, and the market is often right when the two split. We publish how the model's numbers hold up on the accuracy page, down to which probability ranges it over- and under-shoots. The methodology page shows the factors behind every number, so you can check the reasoning yourself.

Model outputs are for informational purposes only. Past performance does not guarantee future results.

See our model accuracy page for transparent performance data.