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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801 | MLB | Wade Meckler 10 games | BOS vs LAA | HR | 0.5 | +2000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Walker Jenkins 10 games | DET vs MIN | H | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Walker Jenkins 10 games | DET vs MIN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Weston Wilson 9 games | SEA vs TEX | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Weston Wilson 9 games | SEA vs TEX | RBI | 0.5 | +287 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Will Smith 7 games | LAD vs CIN | HR | 0.5 | +380 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 807 | MLB | Wilyer Abreu 10 games | BOS vs LAA | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Wilyer Abreu 10 games | BOS vs LAA | RBI | 0.5 | +169 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Wyatt Langford 10 games | SEA vs TEX | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 810 | MLB | Wyatt Langford 10 games | SEA vs TEX | RBI | 0.5 | +214 | 0 | -0.5 | 0/5 | +0 | 29 | F | 2.0 | WIN | LOSS | |
| 811 | MLB | Xander Bogaerts 10 games | SD vs WSH | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Yandy Diaz 10 games | ATL vs TB | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 813 | MLB | Zach McKinstry 9 games | DET vs MIN | HR | 0.5 | +1050 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Zach McKinstry 9 games | DET vs MIN | RBI | 0.5 | +253 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Zach Neto 10 games | BOS vs LAA | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 816 | MLB | Angel Genao 10 games | BAL vs CLE | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Angel Martinez 10 games | BAL vs CLE | H | 0.5 | -196 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 2.0 | WIN | LOSS | |
| 818 | MLB | Christian Moore 10 games | BOS vs LAA | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 2.0 | WIN | LOSS | |
| 819 | MLB | Colt Keith 10 games | DET vs MIN | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Donovan Walton 10 games | OAK vs TOR | H | 0.5 | -159 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 2.0 | WIN | LOSS | |
| 821 | MLB | George Lombard Jr. 10 games | NYY vs COL | H | 0.5 | -152 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 822 | MLB | Jackson Merrill 10 games | SD vs WSH | H | 0.5 | -192 | 0.6 | +0.1 | 1/5 | +0 | 28 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Jeremy Pena 10 games | PHI vs HOU | H | 0.5 | -240 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 824 | MLB | Jose Ramirez 10 games | BAL vs CLE | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 825 | MLB | Michael Harris II 10 games | ATL vs TB | H | 0.5 | -231 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Ryan Jeffers 10 games | DET vs MIN | H | 0.5 | -182 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 2.0 | WIN | LOSS | |
| 827 | MLB | Ryan Waldschmidt 10 games | KC vs ARI | H | 0.5 | -162 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Shohei Ohtani 10 games | LAD vs CIN | H | 0.5 | -250 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | — | PENDING | PENDING | |
| 829 | MLB | Enrique Hernandez 9 games | LAD vs CIN | H | 0.5 | -125 | 0.2 | -0.3 | 1/5 | -0.1 | 27 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Oneil Cruz 10 games | CWS vs PIT | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.8 | 27 | F | 3.0 | WIN | LOSS | |
| 831 | MLB | Spencer Horwitz 10 games | CWS vs PIT | H | 0.5 | -139 | 0.4 | -0.1 | 2/5 | -0.6 | 27 | F | 2.0 | WIN | LOSS | |
| 832 | MLB | A.J. Ewing 10 games | MIA vs NYM | HR | 1.5 | +9000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 833 | 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 | |
| 834 | MLB | Abimelec Ortiz 10 games | SD vs WSH | HR | 1.5 | +10000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Adley Rutschman 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0.6 | -1.9 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 836 | MLB | Alec Bohm 10 games | PHI vs HOU | HR | 1.5 | +9000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 837 | MLB | Alec Bohm 10 games | PHI vs HOU | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Alec Burleson 10 games | SF vs STL | HR | 1.5 | +10000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Alejandro Kirk 10 games | OAK vs TOR | HR | 1.5 | +7000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Alex Bregman 10 games | MIL vs CHC | HR | 1.5 | +16000 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Alika Williams 10 games | OAK vs TOR | HR | 1.5 | +32767 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 842 | MLB | Andres Gimenez 10 games | OAK vs TOR | HR | 1.5 | +14000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Andrew Benintendi 10 games | CWS vs PIT | HR | 1.5 | +6000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Andrew Benintendi 10 games | CWS vs PIT | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Andrew Knizner 10 games | SF vs STL | HR | 1.5 | +15000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Andrew Vaughn 9 games | MIL vs CHC | HR | 1.5 | +13000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Angel Genao 10 games | BAL vs CLE | HR | 1.5 | +20000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Angel Martinez 10 games | BAL vs CLE | HR | 1.5 | +8000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Austin Riley 10 games | ATL vs TB | HR | 1.5 | +6000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Austin Wells 10 games | NYY vs COL | HR | 1.5 | +6300 | 0 | -1.5 | 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.