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 | Jasson Domínguez 10 games | NYY vs PIT@NYY | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1752 | MLB | Jasson Domínguez 10 games | NYY vs PIT@NYY | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1753 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@BOS | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1754 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | H | 1.5 | +320 | 0.6 | -0.9 | 0/5 | -0.6 | 26 | F | 1.0 | LOSS | WIN | |
| 1755 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1756 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | RBI | 0.5 | +196 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 1.0 | WIN | LOSS | |
| 1757 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | TB | 1.5 | +150 | 0.6 | -0.9 | 0/5 | -1.5 | 26 | F | 4.0 | WIN | LOSS | |
| 1758 | MLB | Jo Adell 10 games | LAA vs STL@LAA | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1759 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1760 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1761 | MLB | Jordan Walker 10 games | STL vs STL@LAA | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1762 | MLB | Jordan Walker 10 games | STL vs STL@LAA | RBI | 1.5 | +400 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1763 | MLB | Jorge Soler 10 games | LAA vs STL@LAA | H | 1.5 | +300 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1764 | MLB | Jorge Soler 10 games | LAA vs STL@LAA | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1765 | MLB | Jose Caballero 10 games | NYY vs PIT@NYY | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1766 | MLB | Josh Bell 10 games | MIN vs MIN@CLE | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1767 | MLB | Josh Bell 10 games | MIN vs MIN@CLE | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 1768 | MLB | Josh Lowe 10 games | LAA vs STL@LAA | H | 1.5 | +280 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 1769 | MLB | Josh Lowe 10 games | LAA vs STL@LAA | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1770 | MLB | Josh Lowe 10 games | LAA vs STL@LAA | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1771 | MLB | Josh Naylor 10 games | SEA vs CIN@SEA | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1772 | MLB | Josh Naylor 10 games | SEA vs CIN@SEA | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1773 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | — | PENDING | PENDING | |
| 1774 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1775 | MLB | Julio Rodriguez 5 games | SEA vs CIN@SEA | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | — | PENDING | PENDING | |
| 1776 | MLB | Jung Hoo Lee 10 games | SF vs SFG@KCR | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1777 | MLB | Kahlil Watson 10 games | CLE vs MIN@CLE | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1778 | MLB | Kahlil Watson 10 games | CLE vs MIN@CLE | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1779 | MLB | Kazuma Okamoto 10 games | TOR vs TBR@TOR | RBI | 0.5 | +191 | 0 | -0.5 | 0/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 1780 | MLB | Keibert Ruiz 10 games | WSH vs WSN@COL | RBI | 1.5 | +400 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1781 | MLB | Kerry Carpenter 10 games | DET vs DET@CHC | TB | 1.5 | +185 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1782 | MLB | Kyle Karros 10 games | COL vs WSN@COL | H | 1.5 | +230 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1783 | MLB | Kyle Karros 10 games | COL vs WSN@COL | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1784 | MLB | Kyle Karros 10 games | COL vs WSN@COL | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1785 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 3.0 | WIN | LOSS | |
| 1786 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 1787 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1788 | MLB | Kyle Tucker 10 games | LAD vs LAD@PHI | H | 1.5 | +280 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1789 | MLB | Kyle Tucker 10 games | LAD vs LAD@PHI | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1790 | MLB | Kyle Tucker 10 games | LAD vs LAD@PHI | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1791 | MLB | Kyle Tucker 10 games | LAD vs LAD@PHI | TB | 1.5 | +150 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1792 | MLB | Landen Roupp 9 games | SF vs SFG@KCR | K | 6.5 | +240 | 4.8 | -1.7 | 1/5 | -1.3 | 26 | F | 7.0 | WIN | LOSS | |
| 1793 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1794 | MLB | Logan Henderson 2 games | MIL vs NYM@MIL | K | 6.5 | +160 | 4 | -2.5 | 0/2 | +0 | 26 | F | 9.0 | WIN | LOSS | |
| 1795 | MLB | Logan O'Hoppe 10 games | LAA vs STL@LAA | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1796 | MLB | Logan O'Hoppe 10 games | LAA vs STL@LAA | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1797 | MLB | Luis Arraez 10 games | SF vs SFG@KCR | R | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1798 | MLB | Luis Arraez 10 games | SF vs SFG@KCR | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1799 | MLB | Luis Arraez 10 games | SF vs SFG@KCR | TB | 2.5 | +190 | 0.8 | -1.7 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1800 | MLB | Luis Campusano 10 games | SD vs SDP@ATL | TB | 1.5 | +165 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | 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.