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Model vs Market Disagreements

Upcoming games where our model gives a team a clearly higher win probability than the betting market does. Each card shows both numbers so you can see how far apart they are.

35 games where the model and market disagree
NBATue, Oct 20 at 11:00 PM
PHI at NYK
Model favors PHI
PHI win chance
78%model36%market
42-point disagreement
ModelMarket (no vig)
NBAThu, Oct 22 at 2:00 AM
GSW at LAL
Model favors GSW
GSW win chance
72%model38%market
34-point disagreement
ModelMarket (no vig)
NBAFri, Oct 23 at 11:00 PM
NYK at BOS
Model favors BOS
BOS win chance
88%model54%market
34-point disagreement
ModelMarket (no vig)
NBATue, Oct 20 at 7:00 PM
BOS at DET
Model favors BOS
BOS win chance
79%model48%market
31-point disagreement
ModelMarket (no vig)
NBAThu, Oct 22 at 2:30 AM
SAC at LAC
Model favors LAC
LAC win chance
84%model58%market
26-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 5:00 PM
NYJ at NE
Model favors NYJ
NYJ win chance
51%model27%market
24-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 8:25 PM
LAR at LV
Model favors LV
LV win chance
49%model27%market
22-point disagreement
ModelMarket (no vig)
NBAThu, Oct 22 at 12:30 AM
DAL at HOU
Model favors DAL
DAL win chance
46%model27%market
19-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 5:00 PM
TEN at IND
Model favors TEN
TEN win chance
44%model26%market
18-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 5:00 PM
CAR at PHI
Model favors PHI
PHI win chance
55%model38%market
17-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 8:25 PM
GB at DET
Model favors GB
GB win chance
55%model38%market
17-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 8:05 PM
ARI at LAR
Model favors ARI
ARI win chance
30%model14%market
16-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 5:00 PM
PIT at TB
Model favors TB
TB win chance
58%model43%market
15-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 8:05 PM
DEN at ARI
Model favors ARI
ARI win chance
47%model32%market
15-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 5:00 PM
NYG at HOU
Model favors NYG
NYG win chance
40%model25%market
15-point disagreement
ModelMarket (no vig)
NBAWed, Oct 21 at 11:00 PM
MIL at WSH
Model favors WSH
WSH win chance
79%model64%market
15-point disagreement
ModelMarket (no vig)
NBAFri, Oct 23 at 1:30 AM
DEN at OKC
Model favors DEN
DEN win chance
43%model29%market
14-point disagreement
ModelMarket (no vig)
NFLTue, Oct 20 at 12:15 AM
WSH at SF
Model favors WSH
WSH win chance
35%model22%market
13-point disagreement
ModelMarket (no vig)
NHLSat, Oct 17 at 1:00 AM
PIT at COL
Model favors PIT
PIT win chance
47%model34%market
13-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 5:00 PM
IND at MIN
Model favors IND
IND win chance
42%model31%market
11-point disagreement
ModelMarket (no vig)
NBASat, Oct 24 at 1:30 AM
HOU at SAS
Model favors HOU
HOU win chance
44%model34%market
10-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 5:00 PM
CHI at ATL
Model favors ATL
ATL win chance
60%model49%market
11-point disagreement
ModelMarket (no vig)
NBAWed, Oct 21 at 11:30 PM
CHA at BKN
Model favors BKN
BKN win chance
56%model46%market
10-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 8:25 PM
BUF at LV
Model favors LV
LV win chance
44%model34%market
10-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 1:30 PM
PIT at NO
Model favors NO
NO win chance
53%model44%market
9-point disagreement
ModelMarket (no vig)
NBAThu, Oct 22 at 12:00 AM
IND at NOP
Model favors NOP
NOP win chance
51%model42%market
9-point disagreement
ModelMarket (no vig)
NFLMon, Oct 19 at 12:20 AM
DAL at GB
Model favors DAL
DAL win chance
57%model48%market
9-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 1:30 PM
HOU at JAX
Model favors JAX
JAX win chance
66%model56%market
10-point disagreement
ModelMarket (no vig)
NBAWed, Oct 21 at 1:30 AM
OKC at SAS
Model favors SAS
SAS win chance
64%model55%market
9-point disagreement
ModelMarket (no vig)
NFLSun, Oct 25 at 5:00 PM
SF at ATL
Model favors ATL
ATL win chance
43%model34%market
9-point disagreement
ModelMarket (no vig)
NBAWed, Oct 21 at 11:30 PM
MIN at MIA
Model favors MIA
MIA win chance
62%model53%market
9-point disagreement
ModelMarket (no vig)
NHLSat, Oct 17 at 2:00 AM
BOS at ANA
Model favors BOS
BOS win chance
60%model52%market
8-point disagreement
ModelMarket (no vig)
NFLTue, Oct 27 at 12:15 AM
DAL at PHI
Model favors PHI
PHI win chance
59%model52%market
7-point disagreement
ModelMarket (no vig)
NFLSun, Oct 18 at 8:25 PM
LAC at KC
Model favors LAC
LAC win chance
26%model20%market
6-point disagreement
ModelMarket (no vig)
NBAWed, Oct 21 at 11:00 PM
ATL at ORL
Model favors ORL
ORL win chance
59%model54%market
5-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 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-vs-market comparisons are for information only. They show where two estimates differ, not what will happen. Past model performance does not guarantee future results.

See how past disagreements played out in our model-vs-market track record, and the model accuracy page for overall performance.