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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1751 | MLB | Leody Taveras 10 games | BAL vs BAL@DET | H | 1.5 | +320 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1752 | MLB | Leody Taveras 10 games | BAL vs BAL@DET | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1753 | MLB | Liam Hicks 10 games | MIA vs PHI@MIA | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1754 | MLB | Liam Hicks 10 games | MIA vs PHI@MIA | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1755 | MLB | Luis Campusano 10 games | SD vs COL@SDP | TB | 1.5 | +210 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1756 | MLB | Luis Robert Jr. 7 games | NYM vs ATL@NYM | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1757 | MLB | Luis Robert Jr. 7 games | NYM vs ATL@NYM | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1758 | MLB | Luke Keaschall 10 games | MIN vs KCR@MIN | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1759 | MLB | Masyn Winn 10 games | STL vs CHC@STL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1760 | MLB | Masyn Winn 10 games | STL vs CHC@STL | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1761 | MLB | Max Kepler 10 games | AZ vs ARI@PIT | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1762 | MLB | Michael Busch 10 games | CHC vs CHC@STL | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1763 | MLB | Michael Harris II 10 games | ATL vs ATL@NYM | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | — | PENDING | PENDING | |
| 1764 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@NYM | H | 1.5 | +475 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1765 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@NYM | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | — | PENDING | PENDING | |
| 1766 | MLB | Nathan Church 10 games | STL vs CHC@STL | H | 1.5 | +340 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1767 | MLB | Nathan Church 10 games | STL vs CHC@STL | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1768 | MLB | Nathan Church 10 games | STL vs CHC@STL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1769 | MLB | Nathan Church 10 games | STL vs CHC@STL | TB | 1.5 | +180 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1770 | MLB | Nathan Lukes 10 games | TOR vs TOR@WSN | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1771 | MLB | Nathaniel Lowe 10 games | CIN vs CLE@CIN | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1772 | MLB | Nicky Lopez 10 games | TEX vs TEX@TBR | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1773 | MLB | Nolan Arenado 10 games | AZ vs ARI@PIT | H | 1.5 | +280 | 0.4 | -1.1 | 1/5 | -0.8 | 26 | F | 3.0 | WIN | LOSS | |
| 1774 | MLB | Nolan Arenado 10 games | AZ vs ARI@PIT | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1775 | MLB | Otto Lopez 10 games | MIA vs PHI@MIA | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1776 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | R | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1777 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1778 | MLB | Pete Alonso 10 games | BAL vs BAL@DET | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1779 | MLB | Petey Halpin 10 games | CLE vs CLE@CIN | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1780 | MLB | Petey Halpin 10 games | CLE vs CLE@CIN | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1781 | MLB | Richie Palacios 10 games | TB vs TEX@TBR | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1782 | MLB | Richie Palacios 10 games | TB vs TEX@TBR | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1783 | MLB | Riley Greene 10 games | DET vs BAL@DET | RBI | 1.5 | +340 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1784 | MLB | Royce Lewis 10 games | MIN vs KCR@MIN | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1785 | MLB | Ryan Jeffers 9 games | MIN vs KCR@MIN | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1786 | MLB | Ryan Kreidler 10 games | MIN vs KCR@MIN | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1787 | MLB | Slade Cecconi 9 games | CLE vs CLE@CIN | K | 5.5 | +160 | 3.4 | -2.1 | 0/5 | +0.1 | 26 | F | 2.0 | LOSS | WIN | |
| 1788 | MLB | Spencer Torkelson 10 games | DET vs BAL@DET | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1789 | MLB | Spencer Torkelson 10 games | DET vs BAL@DET | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1790 | MLB | Steven Kwan 10 games | CLE vs CLE@CIN | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1791 | MLB | Steven Kwan 10 games | CLE vs CLE@CIN | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1792 | MLB | Taylor Ward 10 games | BAL vs BAL@DET | R | 1.5 | +800 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1793 | MLB | Taylor Ward 10 games | BAL vs BAL@DET | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1794 | MLB | Tim Tawa 10 games | AZ vs ARI@PIT | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1795 | MLB | Tim Tawa 10 games | AZ vs ARI@PIT | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1796 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1797 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1798 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1799 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1800 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | TB | 1.5 | +160 | 0.4 | -1.1 | 1/5 | -0.7 | 26 | F | 1.0 | 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.