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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 851 | MLB | Tyler Heineman 10 games | BOS vs LAA | HR | 1.5 | +19900 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Tyler Heineman 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Tyler Stephenson 10 games | LAD vs CIN | HR | 1.5 | +7000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Tyrone Taylor 10 games | MIL vs CHC | HR | 1.5 | +12000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Vaughn Grissom 10 games | BOS vs LAA | HR | 1.5 | +12500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 856 | MLB | Vaughn Grissom 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Vinnie Pasquantino 10 games | KC vs ARI | HR | 1.5 | +8000 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Vinnie Pasquantino 10 games | KC vs ARI | HR | 2.5 | +19900 | 0.4 | -2.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Vladimir Guerrero Jr. 10 games | OAK vs TOR | HR | 1.5 | +4500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Wade Meckler 10 games | BOS vs LAA | HR | 1.5 | +19900 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Wade Meckler 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Walker Jenkins 9 games | DET vs MIN | HR | 1.5 | +12500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Will Smith 6 games | LAD vs CIN | HR | 1.5 | +4500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | William Contreras 10 games | MIL vs CHC | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Wilyer Abreu 10 games | BOS vs LAA | HR | 1.5 | +4500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Wilyer Abreu 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Xander Bogaerts 10 games | SD vs WSH | HR | 1.5 | +14000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Zach Neto 10 games | BOS vs LAA | HR | 1.5 | +7500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Zach Neto 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | B.J. Murray Jr. 3 games | MIL vs CHC | H | 0.5 | -139 | 0.3 | -0.2 | 1/3 | +0 | 25 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Jordan Lawlar 10 games | KC vs ARI | H | 0.5 | -138 | 0.4 | -0.1 | 1/5 | -0.5 | 25 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Jose Ramirez 10 games | BAL vs CLE | H | 0.5 | -238 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 873 | MLB | Michael Harris II 10 games | PHI vs ATL | H | 0.5 | -157 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 874 | MLB | Samuel Basallo 10 games | BAL vs CLE | H | 0.5 | -143 | 0.2 | -0.3 | 1/5 | -0.4 | 25 | F | 2.0 | WIN | LOSS | |
| 875 | MLB | Ethan Salas 3 games | SD vs WSH | H | 0.5 | -135 | 0 | -0.5 | 0/3 | +0 | 24 | F | 0.0 | LOSS | WIN | |
| 876 | MLB | Freddy Fermin 10 games | SD vs WSH | H | 0.5 | -134 | 0.2 | -0.3 | 1/5 | -0.6 | 24 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Jose Siri 10 games | BOS vs LAA | H | 0.5 | -130 | 0 | -0.5 | 0/5 | +0 | 24 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Leody Taveras 10 games | BAL vs CLE | H | 0.5 | -122 | 0 | -0.5 | 0/5 | -0.2 | 24 | F | — | PENDING | PENDING | |
| 879 | MLB | Walker Jenkins 9 games | DET vs MIN | H | 0.5 | -133 | 0 | -0.5 | 0/5 | -0.3 | 24 | F | 1.0 | WIN | LOSS | |
| 880 | MLB | Angel Martinez 10 games | BAL vs CLE | H | 0.5 | -204 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 1.0 | WIN | LOSS | |
| 881 | MLB | Caleb Durbin 10 games | BOS vs LAA | H | 0.5 | -196 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 2.0 | WIN | LOSS | |
| 882 | MLB | Jake Cronenworth 10 games | SD vs WSH | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | +0 | 23 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Jarren Duran 10 games | BOS vs LAA | H | 0.5 | -154 | 0.2 | -0.3 | 1/5 | +0 | 23 | F | 2.0 | WIN | LOSS | |
| 884 | MLB | Javier Baez 10 games | DET vs MIN | H | 0.5 | -154 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Jose Ramirez 10 games | BAL vs CLE | H | 1.5 | +210 | 0.4 | -1.1 | 0/5 | -0.7 | 23 | F | 1.0 | LOSS | WIN | |
| 886 | MLB | Kyle Isbel 10 games | KC vs ARI | H | 0.5 | -162 | 0.4 | -0.1 | 1/5 | -0.4 | 23 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Lourdes Gurriel Jr. 4 games | KC vs ARI | H | 0.5 | -238 | 0.3 | -0.3 | 1/4 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Matt Olson 10 games | PHI vs ATL | H | 0.5 | -156 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 1.0 | WIN | LOSS | |
| 889 | MLB | Matthew Lugo 5 games | KC vs ARI | H | 0.5 | -152 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 1.0 | WIN | LOSS | |
| 890 | MLB | Victor Caratini 10 games | DET vs MIN | H | 0.5 | -175 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | — | PENDING | PENDING | |
| 891 | MLB | Will Smith 6 games | LAD vs CIN | H | 0.5 | -162 | 0.2 | -0.3 | 1/5 | +0 | 23 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Brandon Marsh 10 games | PHI vs ATL | H | 0.5 | -180 | 0 | -0.5 | 0/5 | -0.2 | 20 | F | 1.0 | WIN | LOSS | |
| 893 | MLB | Isaac Collins 10 games | KC vs ARI | H | 0.5 | -156 | 0 | -0.5 | 0/5 | -0.4 | 20 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Jackson Merrill 10 games | SD vs WSH | H | 0.5 | -227 | 0.4 | -0.1 | 1/5 | -0.9 | 20 | F | 3.0 | WIN | LOSS | |
| 895 | MLB | Jo Adell 10 games | BAL vs CLE | H | 0.5 | -195 | 0.2 | -0.3 | 1/5 | -0.7 | 20 | F | 2.0 | WIN | LOSS | |
| 896 | MLB | Pedro Ramirez 10 games | MIL vs CHC | H | 0.5 | -157 | 0 | -0.5 | 0/5 | -0.6 | 17 | F | 1.0 | WIN | LOSS | |
| 897 | MLB | A.J. Ewing | MIA vs NYM | R | 0.5 | +159 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 898 | MLB | A.J. Ewing | MIA vs NYM | TB | 0.5 | -154 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 899 | MLB | A.J. Ewing | MIA vs NYM | TB | 1.5 | +165 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 900 | MLB | Abimelec Ortiz | SD vs WSH | R | 0.5 | +189 | — | — | — | — | 0 | F | — | PENDING | PENDING |
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.