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 | A.J. Ewing 10 games | NYM vs LAD@NYM | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 852 | MLB | A.J. Ewing 10 games | NYM vs LAD@NYM | TB | 1.5 | +140 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 853 | MLB | Alec Bohm 10 games | PHI vs NYY@PHI | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Alec Bohm 10 games | PHI vs NYY@PHI | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 2.0 | WIN | LOSS | |
| 855 | MLB | Alec Bohm 10 games | PHI vs NYY@PHI | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 4.0 | WIN | LOSS | |
| 856 | MLB | Alec Burleson 10 games | STL vs CIN@STL | RBI | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 857 | MLB | Alejandro Kirk 10 games | TOR vs TOR@BOS | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 858 | MLB | Alejandro Kirk 10 games | TOR vs TOR@BOS | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Alejandro Kirk 10 games | TOR vs TOR@BOS | R | 0.5 | +170 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Alika Williams 10 games | ATH vs Athletics@ | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Alika Williams 10 games | ATH vs Athletics@ | RBI | 0.5 | +262 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Andrés Chaparro 10 games | WSH vs ARI@WSN | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Andrew Benintendi 10 games | CWS vs HOU@CHW | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | +-0 | 32 | F | 1.0 | LOSS | WIN | |
| 864 | MLB | Andrew Benintendi 10 games | CWS vs HOU@CHW | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Andrew Vaughn 10 games | MIL vs COL@MIL | H | 1.5 | +200 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 866 | MLB | Andrew Vaughn 10 games | MIL vs COL@MIL | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 867 | MLB | Andrew Vaughn 10 games | MIL vs COL@MIL | RBI | 0.5 | +142 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 868 | MLB | Andrew Velazquez 3 games | KC vs KCR@DET | H | 0.5 | +100 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Andruw Monasterio 10 games | BOS vs TOR@BOS | R | 0.5 | +165 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 870 | MLB | Andy Pages 10 games | LAD vs LAD@NYM | H | 1.5 | +200 | 1.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Andy Pages 10 games | LAD vs LAD@NYM | RBI | 1.5 | +475 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Anthony Seigler 10 games | BOS vs TOR@BOS | R | 0.5 | +115 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 873 | MLB | Anthony Seigler 10 games | BOS vs TOR@BOS | RBI | 0.5 | +269 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 874 | MLB | Anthony Volpe 10 games | NYY vs NYY@PHI | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 875 | MLB | Austin Martin 10 games | MIN vs Athletics@ | TB | 1.5 | +135 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 876 | MLB | Ben Rice 10 games | NYY vs NYY@PHI | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 877 | MLB | Ben Williamson 10 games | TB vs CLE@TBR | R | 1.5 | +2000 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Blaze Jordan 10 games | STL vs CIN@STL | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Blaze Jordan 10 games | STL vs CIN@STL | TB | 1.5 | +160 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Bo Bichette 10 games | NYM vs LAD@NYM | RBI | 0.5 | +183 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Braden Montgomery 10 games | CWS vs HOU@CHW | H | 1.5 | +280 | 1.2 | -0.3 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | RBI | 0.5 | +137 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | TB | 1.5 | +140 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 886 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Brayan Rocchio 10 games | CLE vs CLE@TBR | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Brice Turang 10 games | MIL vs COL@MIL | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 889 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Bryan Reynolds 10 games | PIT vs CHC@PIT | R | 0.5 | +105 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 891 | MLB | Bryce Eldridge 10 games | SF vs LAA@SFG | R | 0.5 | +120 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Bryce Harper 10 games | PHI vs NYY@PHI | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Bryson Stott 10 games | PHI vs NYY@PHI | R | 0.5 | +140 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 894 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | RBI | 1.5 | +500 | 1.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | TB | 1.5 | +160 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 898 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Cam Smith 10 games | HOU vs HOU@CHW | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | Cam Smith 10 games | HOU vs HOU@CHW | RBI | 0.5 | +222 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | 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.