Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | MLB | Casey Schmitt 10 games | SF vs WSN@SFG | R | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 552 | MLB | Colby Thomas 10 games | ATH vs MIL@Athlet | TB | 1.5 | +150 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 553 | MLB | Daylen Lile 10 games | WSH vs WSN@SFG | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 554 | MLB | Drew Gilbert 10 games | SF vs WSN@SFG | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.4 | 35 | F | 1.0 | WIN | LOSS | |
| 555 | MLB | Ernie Clement 10 games | TOR vs PHI@TOR | R | 1.5 | +1300 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 556 | MLB | Ernie Clement 10 games | TOR vs PHI@TOR | RBI | 1.5 | +900 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 557 | MLB | Gunnar Henderson 10 games | BAL vs SEA@BAL | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 558 | MLB | James Wood 10 games | WSH vs WSN@SFG | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 559 | MLB | James Wood 10 games | WSH vs WSN@SFG | TB | 1.5 | +145 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 560 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@CLE | RBI | 1.5 | +550 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 561 | MLB | Jo Adell 10 games | LAA vs HOU@LAA | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 562 | MLB | Jo Adell 10 games | LAA vs HOU@LAA | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 563 | MLB | Jose Caballero 10 games | NYY vs NYY@CLE | H | 0.5 | -138 | 0.6 | +0.1 | 2/5 | -0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | Kyle Schwarber 10 games | PHI vs PHI@TOR | R | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 565 | MLB | Luis Rengifo 10 games | MIL vs MIL@Athlet | RBI | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 566 | MLB | Matt McLain 10 games | CIN vs CIN@SDP | H | 1.5 | +400 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 2.0 | WIN | LOSS | |
| 567 | MLB | Myles Straw 10 games | TOR vs PHI@TOR | RBI | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 568 | MLB | Nick Madrigal 8 games | LAA vs HOU@LAA | R | 1.5 | +1500 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 569 | MLB | Randy Arozarena 10 games | SEA vs SEA@BAL | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 570 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | H | 1.5 | +360 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 571 | MLB | Spencer Jones 10 games | NYY vs NYY@CLE | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 572 | MLB | Spencer Jones 10 games | NYY vs NYY@CLE | TB | 1.5 | +210 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 1.0 | LOSS | WIN | |
| 573 | MLB | William Contreras 10 games | MIL vs MIL@Athlet | R | 1.5 | +400 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 3.0 | WIN | LOSS | |
| 574 | MLB | Willy Adames 10 games | SF vs WSN@SFG | R | 1.5 | +800 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 575 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 576 | NBA | Jalen Brunson 10 games | NYK vs SAS | 3PM | 1.50 | -225 | 1.4 | -0.1 | 3/5 | -0.1 | 34 | F | 3.0 | WIN | LOSS | |
| 577 | NBA | Jose Alvarado 10 games | NYK vs SAS | PTS | 2.50 | -120 | 3 | +0.5 | 2/5 | +0.6 | 34 | F | 4.0 | WIN | LOSS | |
| 578 | NBA | Mitchell Robinson 10 games | NYK vs SAS | PTS | 4.50 | +120 | 4.6 | +0.1 | 2/5 | +1.6 | 34 | F | 5.0 | WIN | LOSS | |
| 579 | NBA | Stephon Castle 10 games | SAS vs NYK | REB | 6.50 | +220 | 5.6 | -0.9 | 1/5 | +0.2 | 34 | F | 5.0 | LOSS | WIN | |
| 580 | MLB | Andrew Vaughn 10 games | MIL vs MIL@Athlet | TB | 1.5 | -105 | 1.4 | -0.1 | 1/5 | +0.9 | 34 | F | 9.0 | WIN | LOSS | |
| 581 | MLB | Bryce Eldridge 10 games | SF vs WSN@SFG | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | -1.3 | 34 | F | 3.0 | WIN | LOSS | |
| 582 | MLB | Bryson Stott 10 games | PHI vs PHI@TOR | TB | 1.5 | +165 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 583 | MLB | Caleb Durbin 10 games | BOS vs BOS@TBR | TB | 1.5 | +190 | 1.4 | -0.1 | 2/5 | -1.1 | 34 | F | 0.0 | LOSS | WIN | |
| 584 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | RBI | 0.5 | +210 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 585 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | -0.8 | 34 | F | 4.0 | WIN | LOSS | |
| 586 | MLB | Cedric Mullins 10 games | TB vs BOS@TBR | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 1.0 | WIN | LOSS | |
| 587 | MLB | Emerson Hancock 10 games | SEA vs SEA@BAL | K | 5.5 | +150 | 4.8 | -0.7 | 2/5 | -0.9 | 34 | F | 3.0 | LOSS | WIN | |
| 588 | MLB | Jackson Chourio 10 games | MIL vs MIL@Athlet | RBI | 0.5 | +120 | 0.8 | +0.3 | 1/5 | -1.1 | 34 | F | 1.0 | WIN | LOSS | |
| 589 | MLB | Jose Caballero 10 games | NYY vs NYY@CLE | TB | 1.5 | +230 | 1.4 | -0.1 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 590 | MLB | Julio Rodriguez 10 games | SEA vs SEA@BAL | TB | 1.5 | -108 | 1.2 | -0.3 | 1/5 | +1 | 34 | F | — | PENDING | PENDING | |
| 591 | MLB | Oswald Peraza 10 games | LAA vs HOU@LAA | TB | 1.5 | +175 | 1.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 592 | MLB | Patrick Bailey 10 games | CLE vs NYY@CLE | TB | 1.5 | +230 | 1.2 | -0.3 | 2/5 | -0.8 | 34 | F | 3.0 | WIN | LOSS | |
| 593 | MLB | Walker Buehler 10 games | SD vs CIN@SDP | K | 4.5 | -115 | 4 | -0.5 | 2/5 | -0.2 | 34 | F | 4.0 | LOSS | WIN | |
| 594 | MLB | Walker Buehler 10 games | SD vs CIN@SDP | K | 5.5 | +190 | 4 | -1.5 | 2/5 | -0.2 | 34 | F | 4.0 | LOSS | WIN | |
| 595 | NBA | De'Aaron Fox 10 games | SAS vs NYK | PTS | 13.50 | -170 | 11.2 | -2.3 | 2/5 | +3.6 | 33 | F | 12.0 | LOSS | WIN | |
| 596 | NBA | Devin Vassell 10 games | SAS vs NYK | 3PM | 2.50 | +110 | 2.2 | -0.3 | 2/5 | -1.1 | 33 | F | 3.0 | WIN | LOSS | |
| 597 | NBA | Dylan Harper 10 games | SAS vs NYK | 3PM | 1.50 | +225 | 1.2 | -0.3 | 2/5 | +0.1 | 33 | F | 1.0 | LOSS | WIN | |
| 598 | NBA | Karl-Anthony Towns 10 games | NYK vs SAS | AST | 3.50 | -154 | 3.8 | +0.3 | 3/5 | -1.7 | 33 | F | 1.0 | LOSS | WIN | |
| 599 | NBA | Stephon Castle 10 games | SAS vs NYK | PTS | 17.50 | +120 | 17.6 | +0.1 | 1/5 | -3.2 | 33 | F | 23.0 | WIN | LOSS | |
| 600 | MLB | Chase DeLauter 10 games | CLE vs NYY@CLE | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | +0 | 33 | F | 1.0 | WIN | LOSS |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.