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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 601 | MLB | A.J. Ewing 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 602 | MLB | Abimelec Ortiz 10 games | SD vs WSH | HR | 1.5 | +11000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 603 | MLB | Adley Rutschman 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0.4 | -2.1 | 0/5 | +0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 604 | MLB | Alec Bohm 10 games | PHI vs ATL | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 605 | MLB | Alec Bohm 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 606 | MLB | Alec Burleson 10 games | SF vs STL | HR | 1.5 | +8000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 607 | MLB | Alejandro Kirk 10 games | OAK vs TOR | HR | 1.5 | +6600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 608 | MLB | Alex Bregman 10 games | MIL vs CHC | HR | 1.5 | +11000 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 609 | MLB | Alex Freeland 10 games | LAD vs CIN | HR | 1.5 | +25000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 610 | MLB | Andrew Vaughn 9 games | MIL vs CHC | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 611 | MLB | Angel Genao 10 games | BAL vs CLE | HR | 1.5 | +12000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 612 | MLB | Angel Genao 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 613 | MLB | Angel Martinez 10 games | BAL vs CLE | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Angel Martinez 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 615 | MLB | Austin Hedges 9 games | BAL vs CLE | HR | 1.5 | +13000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 616 | MLB | Austin Hedges 9 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 617 | MLB | Austin Riley 10 games | PHI vs ATL | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 618 | MLB | Austin Riley 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 619 | MLB | B.J. Murray Jr. 3 games | MIL vs CHC | HR | 1.5 | +22500 | 0 | -1.5 | 0/3 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 620 | MLB | Blaze Alexander 10 games | BAL vs CLE | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 621 | MLB | Blaze Alexander 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 622 | MLB | Bo Bichette 10 games | MIA vs NYM | HR | 1.5 | +12500 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 623 | MLB | Bo Bichette 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.4 | -2.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 624 | MLB | Bobby Witt Jr. 10 games | KC vs ARI | HR | 1.5 | +5000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 625 | MLB | Bobby Witt Jr. 10 games | KC vs ARI | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 626 | MLB | Brady House 10 games | SD vs WSH | HR | 1.5 | +12000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 627 | MLB | Brandon Marsh 10 games | PHI vs ATL | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 628 | MLB | Brandon Marsh 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 629 | MLB | Brayan Rocchio 10 games | BAL vs CLE | HR | 1.5 | +12500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 630 | MLB | Brayan Rocchio 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 631 | MLB | Brett Bateman 10 games | OAK vs TOR | HR | 1.5 | +20000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 632 | MLB | Brett Baty 10 games | MIA vs NYM | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 633 | MLB | Brett Baty 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 634 | MLB | Brice Turang 10 games | MIL vs CHC | HR | 1.5 | +13000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 635 | MLB | Brooks Lee 10 games | DET vs MIN | HR | 1.5 | +7500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 636 | MLB | Bryan Torres 10 games | SF vs STL | HR | 1.5 | +25000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 637 | MLB | Bryce Eldridge 10 games | SF vs STL | HR | 1.5 | +7000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 638 | MLB | Bryce Harper 10 games | PHI vs ATL | HR | 1.5 | +4000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 639 | MLB | Bryce Harper 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 640 | MLB | Bryson Stott 10 games | PHI vs ATL | HR | 1.5 | +7500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | Bryson Stott 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 642 | MLB | Caleb Durbin 10 games | BOS vs LAA | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 643 | MLB | Caleb Durbin 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 644 | MLB | Carlos Cortes 10 games | OAK vs TOR | HR | 1.5 | +7500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 645 | MLB | Carlos Jorge 2 games | LAD vs CIN | H | 0.5 | -112 | 0 | -0.5 | 0/2 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 646 | MLB | Carlos Jorge 2 games | LAD vs CIN | HR | 1.5 | +27500 | 0 | -1.5 | 0/2 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Carson Benge 10 games | MIA vs NYM | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 648 | MLB | Carson Benge 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 649 | MLB | Carson Kelly 10 games | MIL vs CHC | HR | 1.5 | +10000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 650 | MLB | Carter Jensen 10 games | KC vs ARI | HR | 2.5 | +19900 | 0.6 | -1.9 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN |
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.