One model reads every game line-blind, shows you exactly where it disagrees with the market, then finds the sportsbook paying the most for your exact slip.
One parlay, three sportsbooks — the payout isn't the same. StatSeer prices your whole card at every book and hands you the one that pays the most.
On a $50 stake that's $40 more for the exact same bet. Build your slip →
| Game | Market Spread | Market O/U | Model Spread | Model O/U |
|---|---|---|---|---|
| BALatIND◆Sun, Sep 13, 1:00 PM ET | BAL -3.5 | 48 | IND -3.2 | 48 |
| BUFatHOU◆Sun, Sep 13, 1:00 PM ET | Pick'em | 44.5 | HOU -1.7 | 45.7 |
| MIAatLV◆Sun, Sep 13, 4:25 PM ET | LV -3.5 | 40.5 | MIA -2.7 | 44.2 |
Nothing hidden. Every published call is timestamped and scored against the closing line — the number the market settled on.
Preseason validation underwayPublic grading begins with the Week 1 opener. Once games are played we'll show real, completed results — separately by sport and by market — never back-tested or projected numbers.
Five modules, one job — help you make a sharper bet and never overpay for it.
Line shopping across every book, player props, key-number sweet spots, and the full model with its public track record — all a free account away.
One model reads every game line-blind, then shows you exactly where it disagrees with the market — and the best price on every pick.
StatSeer finds real edges and proves them in the open — published probabilities, an honest track record, and the best price on every pick. How our model works →
| Player | Team | Prop (book) | Our proj |
|---|---|---|---|
| Bucky Irving RB1 | TB | Rush Yds 50.5 yds | 74.2 yds ▲ |
| Tony Pollard RB1 | TEN | Rush Yds 45.5 yds | 61 yds ▲ |
| Christian McCaffrey RB1 | SF | Rec 4.5 | 6 ▲ |
| Travis Kelce TE1 | KC | Rec 3.5 | 4.6 ▲ |
| Jaxson Dart QB1 | NYG | Pass TDs 1.5 | 1.08 ▼ |
| Sam Darnold QB1 | SEA | Pass TDs 1.5 | 1.25 ▼ |
| Game | Best line | Best price | Book |
|---|---|---|---|
| NE@SEA | SEA -3.5 | +100 | LowVig |
| SF@LA | LA -3.5 | -105 | DraftKings |
| ATL@PIT | PIT -3 | -110 | BetMGM / BetRivers / LowVig / MyBookie |
| BAL@IND | BAL -3.5 | +102 | LowVig |
| Game | Market Spread | Market O/U | Model Spread | Model O/U |
|---|---|---|---|---|
| San José Stat#14USC8/29 @3pm ET | — | — | USC -36.1 | 55.8 |
| UTEPat#10Oklahoma9/4 @8pm ET | Oklahoma -41.5 | 50.5 | Oklahoma -41.6≈ market | 48.1 |
| Fresno Stat#14USC9/4 @9pm ET | USC -23.5 | 51.5 | USC -23≈ market | 51.1 |
| #7MiamiatStanford9/4 @9pm ET | Miami -24 | 48.5 | Miami -22.1≈ market | 47.2 |
| E. Carolinaat#13Alabama9/5 @12pm ET | Alabama -28.5 | 54 | Alabama -27.3≈ market | 50.4 |
| N. Texasat#6Indiana9/5 @12pm ET | Indiana -40.5 | 55.5 | Indiana -40.4≈ market | 61.7 |
| Oregon Stat#23Houston9/5 @12pm ET | Houston -20.5 | 51 | Houston -18.6≈ market | 50.6 |
| Ball Stat#1Ohio St9/5 @12:30pm ET | Ohio St -50.5 | 56.5 | Ohio St -50≈ market | 43.3 |
| Boise Stat#2Oregon9/5 @3:30pm ET | Oregon -24.5 | 52 | Oregon -25.9≈ market | 53.3 |
| Texas Stat#5Texas9/5 @3:30pm ET | Texas -30.5 | 60 | Texas -30.3≈ market | 58.6 |
| Marshallat#18Penn St9/5 @3:30pm ET | Penn St -24.5 | 54.5 | Penn St -25.9≈ market | 56.2 |
| N. Illinoisat#22Iowa9/5 @4:15pm ET | Iowa -31.5 | 45.8 | Iowa -32≈ market | 44.8 |
| Missouri Stat#8Texas A&M9/5 @7pm ET | Texas A&M -41 | 52.5 | Texas A&M -41.1≈ market | 54.7 |
| Clemsonat#11LSU9/5 @7:30pm ET | LSU -10.5 | 51 | LSU -9.9≈ even | 44.8 |
| W. Michiganat#16Michigan9/5 @7:30pm ET | Michigan -27.5 | 47.5 | Michigan -26.8≈ market | 45 |
| Washington Stat#17Washington9/6 @4pm ET | Washington -23.5 | 50.5 | Washington -22.6≈ market | 47.9 |
| #24Louisvilleat#9Ole Miss · N9/6 @7:30pm ET | Ole Miss -6.5 | 55.5 | Ole Miss -5.7≈ even | 54.1 |
| Wisconsinat#4Notre Dame · N9/6 @7:30pm ET | Notre Dame -20.5 | 47.5 | Notre Dame -22.8≈ market | 47.5 |
| #19SMUatFlorida St9/7 @7:30pm ET | SMU -2.5 | 53 | SMU -0.2dog +2.3 | 52.6 |
| Game | Market Spread | Market O/U | Model Spread | Model O/U |
|---|---|---|---|---|
| Jax StateatN. Dakota St◆8/29 @5:30pm ET | N. Dakota St -6.5 | 46.5 | Jax State -0.6dog +7.1 | 52.7 |
| UCLAatCalifornia◆9/5 @10:30pm ET | UCLA -1.5 | 53.5 | California -2.4dog +3.9 | 52.6 |
| N. CarolinaatTCU · N8/29 @12pm ET | TCU -7.5 | 46.5 | TCU -8≈ even | 49.8 |
| Player | Team | Prop (book) | Our proj |
|---|---|---|---|
| Projections publish here as the season's usage is captured. | |||
See the Player Model →
points, dropped to zero at neutral sites (bowls, kickoff classics)
top conference by our rating (avg +6.3 per team)
weather, injuries & specific matchups fill in as the season runs
