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 | Jonathan Aranda 10 games | TB vs ARI@TBR | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0.4 | 36 | F | 1.0 | WIN | LOSS | |
| 802 | MLB | Myles Straw 9 games | TOR vs TEX@TOR | H | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Nico Hoerner 10 games | CHC vs CHC@MIL | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | F | 2.0 | WIN | LOSS | |
| 804 | MLB | A.J. Ewing 10 games | NYM vs PHI@NYM | RBI | 1.5 | +900 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 805 | MLB | Alejandro Osuna 10 games | TEX vs TEX@TOR | TB | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 806 | MLB | Alex Bregman 10 games | CHC vs CHC@MIL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 807 | MLB | Andrew Benintendi 10 games | CWS vs KCR@CHW | RBI | 1.5 | +500 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Austin Riley 10 games | ATL vs ATL@SFG | H | 1.5 | +300 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Blake Dunn 10 games | CIN vs CIN@PIT | R | 1.5 | +800 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | — | PENDING | PENDING | |
| 810 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@CHW | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Brooks Lee 10 games | MIN vs COL@MIN | R | 1.5 | +900 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 812 | MLB | Bryce Harper 10 games | PHI vs PHI@NYM | H | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 2.0 | WIN | LOSS | |
| 813 | MLB | Caleb Durbin 10 games | BOS vs NYY@BOS | R | 1.5 | +1500 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Carson Benge 10 games | NYM vs PHI@NYM | H | 1.5 | +230 | 1.2 | -0.3 | 1/5 | +0.8 | 35 | F | 2.0 | WIN | LOSS | |
| 815 | MLB | Carson Kelly 10 games | CHC vs CHC@MIL | R | 1.5 | +1300 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Casey Schmitt 10 games | SF vs ATL@SFG | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Chandler Simpson 10 games | TB vs ARI@TBR | H | 1.5 | +240 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 818 | MLB | Chandler Simpson 10 games | TB vs ARI@TBR | TB | 1.5 | +160 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 819 | MLB | Colt Keith 10 games | DET vs HOU@DET | R | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 820 | MLB | Colt Keith 10 games | DET vs HOU@DET | RBI | 1.5 | +600 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Corey Seager 10 games | TEX vs TEX@TOR | H | 1.5 | +340 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 822 | MLB | Dansby Swanson 10 games | CHC vs CHC@MIL | H | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Dansby Swanson 10 games | CHC vs CHC@MIL | R | 1.5 | +1500 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Dansby Swanson 10 games | CHC vs CHC@MIL | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Daulton Varsho 10 games | TOR vs TEX@TOR | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Dominic Smith 10 games | ATL vs ATL@SFG | TB | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Drew Gilbert 10 games | SF vs ATL@SFG | H | 1.5 | +400 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Ezequiel Duran 10 games | TEX vs TEX@TOR | TB | 1.5 | +230 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 829 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@TBR | R | 1.5 | +900 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 830 | MLB | Ian Happ 10 games | CHC vs CHC@MIL | R | 1.5 | +1300 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 831 | MLB | Isaac Collins 10 games | KC vs KCR@CHW | R | 1.5 | +1500 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Isaac Paredes 10 games | HOU vs HOU@DET | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 833 | MLB | Jack Perkins 10 games | ATH vs Athletics@ | K | 5.5 | -132 | 3.6 | -1.9 | 2/5 | +2.5 | 35 | F | 5.0 | LOSS | WIN | |
| 834 | MLB | Jake McCarthy 10 games | COL vs COL@MIN | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 835 | MLB | Jakob Marsee 10 games | MIA vs MIA@STL | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 836 | MLB | Jeremiah Jackson 10 games | BAL vs WSN@BAL | TB | 1.5 | +140 | 1.2 | -0.3 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 837 | MLB | JJ Bleday 10 games | CIN vs CIN@PIT | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.4 | 35 | F | 1.0 | WIN | LOSS | |
| 838 | MLB | Joe Mack 10 games | MIA vs MIA@STL | R | 1.5 | +1300 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 839 | MLB | Jose Altuve 10 games | HOU vs HOU@DET | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Josh Bell 10 games | MIN vs COL@MIN | R | 1.5 | +700 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 841 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 842 | MLB | Josh Rojas 2 games | KC vs KCR@CHW | H | 0.5 | -150 | 0.5 | +0 | 1/2 | +0 | 35 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Julio Rodriguez 10 games | SEA vs SEA@CLE | TB | 1.5 | +115 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | — | PENDING | PENDING | |
| 844 | MLB | Ketel Marte 10 games | AZ vs ARI@TBR | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 845 | MLB | Kyle Higashioka 9 games | TEX vs TEX@TOR | RBI | 1.5 | +900 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | — | PENDING | PENDING | |
| 846 | MLB | Kyle Higashioka 9 games | TEX vs TEX@TOR | TB | 1.5 | +260 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 847 | MLB | Kyle Manzardo 10 games | CLE vs SEA@CLE | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Kyle Schwarber 10 games | PHI vs PHI@NYM | RBI | 1.5 | +400 | 1.4 | -0.1 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Logan O'Hoppe 10 games | LAA vs Athletics@ | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Luis Arraez 10 games | SF vs ATL@SFG | RBI | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | 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.