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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | MLB | Charles McAdoo 10 games | OAK vs TOR | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | Christian Encarnacion-Strand 10 games | BAL vs CLE | HR | 1.5 | +7000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 653 | MLB | Christian Encarnacion-Strand 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | Christian Moore 10 games | BOS vs LAA | HR | 1.5 | +11000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 655 | MLB | Christian Moore 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | CJ Abrams 10 games | SD vs WSH | HR | 1.5 | +6000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Coby Mayo 10 games | BAL vs CLE | HR | 1.5 | +7500 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 658 | MLB | Coby Mayo 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.2 | 26 | F | 2.0 | LOSS | WIN | |
| 659 | MLB | Coby Mayo 10 games | BAL vs CLE | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.7 | 26 | F | 3.0 | WIN | LOSS | |
| 660 | MLB | Cooper Pratt 10 games | MIL vs CHC | HR | 1.5 | +27500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 661 | MLB | David Fry 10 games | BAL vs CLE | HR | 1.5 | +8000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 662 | MLB | David Fry 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 663 | MLB | Daylen Lile 10 games | SD vs WSH | HR | 1.5 | +7000 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 664 | MLB | Dillon Dingler 10 games | DET vs MIN | HR | 1.5 | +8000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 665 | MLB | Donovan Walton 10 games | OAK vs TOR | HR | 1.5 | +13000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 666 | MLB | Drake Baldwin 10 games | PHI vs ATL | HR | 1.5 | +7500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 667 | MLB | Drake Baldwin 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Drew Cavanaugh 10 games | SF vs STL | HR | 1.5 | +20000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 669 | MLB | Drew Gilbert 10 games | SF vs STL | HR | 1.5 | +18000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 670 | MLB | Dylan Beavers 10 games | BAL vs CLE | HR | 1.5 | +11000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 671 | MLB | Dylan Beavers 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 672 | MLB | Dylan Crews 10 games | SD vs WSH | HR | 1.5 | +10000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 673 | MLB | Eli White 10 games | BOS vs LAA | HR | 1.5 | +11000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 674 | MLB | Eli White 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 675 | MLB | Elly De La Cruz 10 games | LAD vs CIN | HR | 1.5 | +5500 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 676 | MLB | Ernie Clement 10 games | OAK vs TOR | HR | 1.5 | +7500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 677 | MLB | Eugenio Suarez 10 games | LAD vs CIN | HR | 1.5 | +5500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 678 | MLB | Francisco Alvarez 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.4 | -2.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 679 | MLB | Francisco Lindor 10 games | MIA vs NYM | HR | 1.5 | +6000 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 680 | MLB | Francisco Lindor 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.4 | -2.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 681 | MLB | Freddie Freeman 10 games | LAD vs CIN | HR | 1.5 | +6000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 682 | MLB | Gabriel Moreno 10 games | KC vs ARI | HR | 1.5 | +7000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 683 | MLB | Gabriel Moreno 10 games | KC vs ARI | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | George Springer 10 games | OAK vs TOR | H | 1.5 | +195 | 0.6 | -0.9 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 685 | MLB | George Springer 10 games | OAK vs TOR | HR | 1.5 | +4000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Geraldo Perdomo 10 games | KC vs ARI | HR | 1.5 | +12500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 687 | MLB | Geraldo Perdomo 10 games | KC vs ARI | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 688 | MLB | Gleyber Torres 10 games | DET vs MIN | HR | 1.5 | +22500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 689 | MLB | Graham Pauley 10 games | MIA vs NYM | HR | 1.5 | +10000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 690 | MLB | Graham Pauley 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 691 | MLB | Griffin Conine 10 games | MIA vs NYM | HR | 1.5 | +5000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 692 | MLB | Griffin Conine 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 693 | MLB | Gunnar Henderson 10 games | BAL vs CLE | HR | 1.5 | +6000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Gunnar Henderson 10 games | BAL vs CLE | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 695 | MLB | Ha-Seong Kim 10 games | PHI vs ATL | HR | 1.5 | +13000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 696 | MLB | Ha-Seong Kim 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Hector Rodriguez 10 games | LAD vs CIN | HR | 1.5 | +11000 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 698 | MLB | Heriberto Hernandez 10 games | MIA vs NYM | HR | 1.5 | +4500 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 699 | MLB | Heriberto Hernandez 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.4 | -2.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Ildemaro Vargas 10 games | KC vs ARI | HR | 1.5 | +10000 | 0 | -1.5 | 0/5 | +0 | 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.