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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Kevin McGonigle 10 games | DET vs MIN | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 752 | MLB | Kody Clemens 10 games | DET vs MIN | HR | 1.5 | +5000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Kyle Isbel 10 games | KC vs ARI | HR | 1.5 | +15000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 754 | MLB | Kyle Isbel 10 games | KC vs ARI | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Kyle Schwarber 10 games | PHI vs ATL | HR | 1.5 | +1900 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 756 | MLB | Kyle Schwarber 10 games | PHI vs ATL | HR | 2.5 | +12000 | 0.4 | -2.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 757 | MLB | Kyle Stowers 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0.6 | -1.9 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Kyle Tucker 10 games | LAD vs CIN | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Kyren Paris 2 games | BOS vs LAA | HR | 1.5 | +12000 | 0 | -1.5 | 0/2 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Kyren Paris 2 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/2 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 761 | MLB | Lane Thomas 10 games | PHI vs ATL | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 762 | MLB | Lane Thomas 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 763 | MLB | Lawrence Butler 10 games | OAK vs TOR | HR | 1.5 | +12000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 764 | MLB | Leonardo Bernal 6 games | SF vs STL | HR | 1.5 | +16000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Lourdes Gurriel Jr. 4 games | KC vs ARI | HR | 1.5 | +8000 | 0 | -1.5 | 0/4 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 766 | MLB | Lourdes Gurriel Jr. 4 games | KC vs ARI | HR | 2.5 | +19900 | 0 | -2.5 | 0/4 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 767 | MLB | Luis Arraez 10 games | PHI vs ATL | HR | 1.5 | +16000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Luis Arraez 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Luis Campusano 10 games | SD vs WSH | HR | 1.5 | +10000 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Luis Lara 10 games | MIL vs CHC | HR | 1.5 | +30000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Luke Keaschall 10 games | DET vs MIN | HR | 1.5 | +8000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 772 | MLB | Manny Machado 10 games | SD vs WSH | HR | 1.5 | +4000 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 773 | MLB | Marcus Semien 10 games | MIA vs NYM | HR | 1.5 | +11000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Marcus Semien 10 games | MIA vs NYM | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Matt McLain 10 games | LAD vs CIN | HR | 1.5 | +12000 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | Matt Olson 10 games | PHI vs ATL | HR | 1.5 | +6000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 777 | MLB | Matt Olson 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Matt Shaw 9 games | MIL vs CHC | HR | 1.5 | +18000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Matthew Lugo 5 games | KC vs ARI | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | Matthew Lugo 5 games | KC vs ARI | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | Mauricio Dubon 10 games | PHI vs ATL | HR | 1.5 | +13000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Mauricio Dubon 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Max Clark 10 games | DET vs MIN | HR | 1.5 | +14000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Max Muncy 10 games | LAD vs CIN | HR | 1.5 | +4000 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Michael Harris II 10 games | PHI vs ATL | HR | 1.5 | +9000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Michael Harris II 10 games | PHI vs ATL | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Michael Massey 10 games | KC vs ARI | HR | 1.5 | +9000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Michael Massey 10 games | KC vs ARI | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Mickey Gasper 10 games | BOS vs LAA | HR | 1.5 | +8000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Mickey Gasper 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Mike Trout 10 games | BOS vs LAA | HR | 1.5 | +8000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Mike Trout 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0 | -2.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 793 | MLB | Moises Ballesteros 10 games | BOS vs LAA | HR | 1.5 | +11000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 794 | MLB | Moises Ballesteros 10 games | BOS vs LAA | HR | 2.5 | +19900 | 0.2 | -2.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 795 | MLB | Mookie Betts 10 games | LAD vs CIN | HR | 1.5 | +7000 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 796 | MLB | Myles Straw 10 games | OAK vs TOR | HR | 1.5 | +16000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Nasim Nunez 10 games | SD vs WSH | HR | 1.5 | +32767 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | Nate Furman 10 games | SF vs STL | HR | 1.5 | +30000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | Nathan Church 10 games | SF vs STL | HR | 1.5 | +22500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Nathan Lukes 10 games | OAK vs TOR | HR | 1.5 | +12000 | 0 | -1.5 | 0/5 | -0.1 | 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.