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 | Xander Bogaerts 10 games | SD vs SDP@MIL | R | 0.5 | +169 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 802 | MLB | Xavier Edwards 10 games | MIA vs MIN | HR | 0.5 | +1000 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 803 | NBA | Jalen Duren 10 games | DET vs CLE | REB | 9.50 | -105 | 8.6 | -0.9 | 3/5 | -3.4 | 36 | F | 5.0 | LOSS | WIN | |
| 804 | NBA | Sam Merrill 10 games | CLE vs DET | 3PM | 0.50 | -300 | 1.2 | +0.7 | 3/5 | -0.3 | 36 | F | 2.0 | WIN | LOSS | |
| 805 | MLB | Framber Valdez 10 games | DET vs NYM | K | 4.5 | -160 | 4.6 | +0.1 | 2/5 | +0.8 | 36 | F | 7.0 | WIN | LOSS | |
| 806 | MLB | Harrison Bader 10 games | SF vs SFG@LAD | H | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0.4 | 36 | F | — | PENDING | PENDING | |
| 807 | MLB | JJ Wetherholt 10 games | STL vs Athletics | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0.2 | 36 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Kumar Rocker 8 games | TEX vs ARI | K | 3.5 | -115 | 3.8 | +0.3 | 2/5 | -1.5 | 36 | F | 3.0 | LOSS | WIN | |
| 809 | NBA | Daniss Jenkins 10 games | DET vs CLE | 3PM | 0.50 | -225 | 1.2 | +0.7 | 2/5 | -0.1 | 35 | F | 2.0 | WIN | LOSS | |
| 810 | NBA | Dennis Schroder 10 games | CLE vs DET | AST | 1.50 | -375 | 2.2 | +0.7 | 3/5 | +0.5 | 35 | F | 5.0 | WIN | LOSS | |
| 811 | NBA | James Harden 10 games | CLE vs DET | PTS | 19.50 | -105 | 18.6 | -0.9 | 2/5 | -2 | 35 | F | 30.0 | WIN | LOSS | |
| 812 | MLB | Alec Bohm 10 games | PHI vs BOS | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Alec Bohm 10 games | PHI vs BOS | RBI | 1.5 | +700 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Alejandro Osuna 10 games | TEX vs ARI | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Alejandro Osuna 10 games | TEX vs ARI | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Alejandro Osuna 10 games | TEX vs ARI | TB | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Chandler Simpson 10 games | TB vs TBR@TOR | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 818 | MLB | Coby Mayo 10 games | BAL vs NYY | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 819 | MLB | Cole Young 10 games | SEA vs HOU | H | 0.5 | -150 | 0.8 | +0.3 | 2/5 | -0.2 | 35 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Connor Norby 10 games | MIA vs MIN | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Daylen Lile 10 games | WSH vs WSN@CIN | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 822 | MLB | Ernie Clement 10 games | TOR vs TBR | H | 1.5 | +280 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | 1.0 | LOSS | WIN | |
| 823 | MLB | Ernie Clement 10 games | TOR vs TBR | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | George Springer 10 games | TOR vs TBR | TB | 1.5 | +126 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Harrison Bader 10 games | SF vs SFG@LAD | TB | 1.5 | +240 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | — | PENDING | PENDING | |
| 826 | MLB | Heliot Ramos 10 games | SF vs SFG@LAD | R | 1.5 | +1300 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Hunter Goodman 10 games | COL vs PIT | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 828 | MLB | Jo Adell 10 games | LAA vs CLE | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Joc Pederson 10 games | TEX vs ARI | H | 1.5 | +380 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Jose Altuve 10 games | HOU vs SEA | H | 1.5 | +240 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 831 | MLB | Keibert Ruiz 10 games | WSH vs WSN@CIN | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 832 | MLB | Keibert Ruiz 10 games | WSH vs WSN@CIN | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 2.0 | WIN | LOSS | |
| 833 | MLB | Kody Clemens 10 games | MIN vs MIA | TB | 1.5 | +190 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 6.0 | WIN | LOSS | |
| 834 | MLB | Kyle Schwarber 10 games | PHI vs BOS | R | 1.5 | +475 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Luke Raley 10 games | SEA vs HOU | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 836 | MLB | Matt Chapman 10 games | SF vs SFG@LAD | H | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 837 | MLB | Matt Chapman 10 games | SF vs SFG@LAD | TB | 1.5 | +250 | 1 | -0.5 | 1/5 | +1.2 | 35 | F | 1.0 | LOSS | WIN | |
| 838 | MLB | Matt McLain 10 games | CIN vs WSN | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Max Fried 10 games | NYY vs BAL | K | 5.5 | -144 | 5.6 | +0.1 | 2/5 | +0.3 | 35 | F | 2.0 | LOSS | WIN | |
| 840 | MLB | Michael Harris II 10 games | ATL vs CHC | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | 1.0 | LOSS | WIN | |
| 841 | MLB | Michael King 9 games | SD vs SDP@MIL | K | 6.5 | +215 | 6 | -0.5 | 1/5 | +1 | 35 | F | 5.0 | LOSS | WIN | |
| 842 | MLB | Miguel Vargas 10 games | CWS vs KCR@CHW | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Mookie Betts 10 games | LAD vs SFG | TB | 1.5 | +110 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 4.0 | WIN | LOSS | |
| 844 | MLB | Nick Fortes 10 games | TB vs TBR@TOR | H | 1.5 | +450 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 845 | MLB | Nick Fortes 10 games | TB vs TBR@TOR | TB | 1.5 | +260 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 846 | MLB | Nick Gonzales 10 games | PIT vs COL | H | 1.5 | +155 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Nick Gonzales 10 games | PIT vs COL | TB | 1.5 | +120 | 1.2 | -0.3 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Oneil Cruz 10 games | PIT vs COL | H | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Oswald Peraza 10 games | LAA vs CLE | TB | 1.5 | +240 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 850 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | H | 0.5 | -135 | 0.6 | +0.1 | 1/5 | +0.5 | 35 | F | 1.0 | WIN | LOSS |
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.