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 | Marcus Semien 10 games | NYM vs LAD@NYM | TB | 1.5 | +230 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | H | 1.5 | +230 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 853 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | R | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | RBI | 1.5 | +450 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | RBI | 1.5 | +700 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 856 | MLB | Nick Fortes 10 games | TB vs CLE@TBR | RBI | 1.5 | +900 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | 2.0 | WIN | LOSS | |
| 857 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | — | PENDING | PENDING | |
| 858 | MLB | Travis Bazzana 10 games | CLE vs CLE@TBR | H | 0.5 | -140 | 0.8 | +0.3 | 2/5 | -0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Trea Turner 10 games | PHI vs NYY@PHI | RBI | 1.5 | +800 | 1.2 | -0.3 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Tyler Stephenson 10 games | CIN vs CIN@STL | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Tyler Stephenson 10 games | CIN vs CIN@STL | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 862 | MLB | Victor Robles 10 games | SEA vs SEA@TEX | H | 1.5 | +380 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | — | PENDING | PENDING | |
| 863 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | H | 1.5 | +280 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 864 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | R | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Yordan Alvarez 10 games | HOU vs HOU@CHW | R | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 866 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 867 | MLB | Austin Hedges 10 games | CLE vs CLE@TBR | H | 1.5 | +500 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 868 | MLB | Braden Montgomery 10 games | CWS vs HOU@CHW | RBI | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | 1.0 | WIN | LOSS | |
| 869 | MLB | Byron Buxton 10 games | MIN vs Athletics@ | TB | 1.5 | -120 | 1.4 | -0.1 | 2/5 | +0 | 34 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | RBI | 0.5 | +202 | 0.6 | +0.1 | 1/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Cole Young 10 games | SEA vs SEA@TEX | H | 1.5 | +280 | 0.8 | -0.7 | 2/5 | -0.7 | 34 | F | 3.0 | WIN | LOSS | |
| 872 | MLB | Cole Young 10 games | SEA vs SEA@TEX | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | Garrett Mitchell 10 games | MIL vs COL@MIL | H | 1.5 | +220 | 1 | -0.5 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 874 | MLB | Garrett Mitchell 10 games | MIL vs COL@MIL | TB | 1.5 | +115 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 875 | MLB | Griffin Conine 10 games | MIA vs SDP@MIA | RBI | 0.5 | +190 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 876 | MLB | Henry Davis 10 games | PIT vs CHC@PIT | R | 0.5 | +175 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 877 | MLB | Henry Davis 10 games | PIT vs CHC@PIT | RBI | 0.5 | +245 | 0.6 | +0.1 | 1/5 | -0.7 | 34 | F | 1.0 | WIN | LOSS | |
| 878 | MLB | Jesus Luzardo 10 games | PHI vs NYY@PHI | K | 7.5 | +100 | 6.8 | -0.7 | 2/5 | -0.9 | 34 | F | 9.0 | WIN | LOSS | |
| 879 | MLB | Juan Soto 10 games | NYM vs LAD@NYM | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.3 | 34 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Nolan Schanuel 10 games | LAA vs LAA@SFG | H | 1.5 | +220 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 881 | MLB | Nolan Schanuel 10 games | LAA vs LAA@SFG | TB | 1.5 | +146 | 1.4 | -0.1 | 2/5 | -0.9 | 34 | F | 2.0 | WIN | LOSS | |
| 882 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | TB | 1.5 | +120 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 5.0 | WIN | LOSS | |
| 883 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | TB | 1.5 | +175 | 1 | -0.5 | 2/5 | -1.3 | 34 | F | 2.0 | WIN | LOSS | |
| 884 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | R | 0.5 | +275 | 0.8 | +0.3 | 1/5 | -0.9 | 34 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Vaughn Grissom 10 games | LAA vs LAA@SFG | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | -0.9 | 34 | F | 5.0 | WIN | LOSS | |
| 886 | MLB | William Contreras 10 games | MIL vs COL@MIL | TB | 1.5 | +118 | 1.2 | -0.3 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 887 | MLB | Wilyer Abreu 10 games | BOS vs TOR@BOS | RBI | 1.5 | +400 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Dustin May 9 games | STL vs CIN@STL | K | 5.5 | -102 | 4 | -1.5 | 2/5 | -0.2 | 33 | F | 8.0 | WIN | LOSS | |
| 889 | MLB | Ivan Herrera 10 games | STL vs CIN@STL | H | 0.5 | -231 | 0.8 | +0.3 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | J.P. Crawford 10 games | SEA vs SEA@TEX | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | -0.5 | 33 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Jacob Lopez 4 games | ATH vs Athletics@ | K | 3.5 | -160 | 3.5 | +0 | 2/4 | +0.2 | 33 | F | 4.0 | WIN | LOSS | |
| 892 | MLB | James Wood 10 games | WSH vs ARI@WSN | H | 0.5 | -260 | 0.6 | +0.1 | 2/5 | -0.1 | 33 | F | 1.0 | WIN | LOSS | |
| 893 | MLB | Josh Lowe 10 games | LAA vs LAA@SFG | H | 0.5 | -161 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | — | PENDING | PENDING | |
| 894 | MLB | Juan Soto 10 games | NYM vs LAD@NYM | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Max Kepler 10 games | AZ vs ARI@WSN | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | -0.1 | 33 | F | 1.0 | WIN | LOSS | |
| 896 | MLB | Nathan Church 10 games | STL vs CIN@STL | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | +0 | 33 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@PHI | H | 0.5 | -210 | 0.6 | +0.1 | 2/5 | +0.4 | 33 | F | 1.0 | WIN | LOSS | |
| 898 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@PIT | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | 2.0 | WIN | LOSS | |
| 899 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | H | 0.5 | -171 | 0.8 | +0.3 | 2/5 | -0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 900 | MLB | Spencer Torkelson 10 games | DET vs KCR@DET | H | 0.5 | -175 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | 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.