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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1701 | MLB | Ben Williamson 10 games | TB vs CLE@TBR | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1702 | MLB | Blaze Jordan 10 games | STL vs CIN@STL | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1703 | MLB | Bo Bichette 10 games | NYM vs LAD@NYM | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1704 | MLB | Bo Bichette 10 games | NYM vs LAD@NYM | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1705 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | RBI | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1706 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | H | 1.5 | +260 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1707 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1708 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1709 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | RBI | 1.5 | +550 | 0.4 | -1.1 | 1/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 1710 | MLB | Brayan Rocchio 10 games | CLE vs CLE@TBR | R | 1.5 | +2000 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1711 | MLB | Brice Turang 10 games | MIL vs COL@MIL | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1712 | MLB | Brice Turang 10 games | MIL vs COL@MIL | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1713 | MLB | Bryan Reynolds 10 games | PIT vs CHC@PIT | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1714 | MLB | Bryan Reynolds 10 games | PIT vs CHC@PIT | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1715 | MLB | Bryce Eldridge 10 games | SF vs LAA@SFG | H | 1.5 | +320 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1716 | MLB | Bryce Eldridge 10 games | SF vs LAA@SFG | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1717 | MLB | Bryce Harper 10 games | PHI vs NYY@PHI | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1718 | MLB | Bryce Harper 10 games | PHI vs NYY@PHI | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1719 | MLB | Bryce Harper 10 games | PHI vs NYY@PHI | RBI | 1.5 | +475 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1720 | MLB | Bryson Stott 10 games | PHI vs NYY@PHI | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 5.0 | WIN | LOSS | |
| 1721 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1722 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1723 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1724 | MLB | Cam Smith 10 games | HOU vs HOU@CHW | H | 1.5 | +280 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1725 | MLB | Cam Smith 10 games | HOU vs HOU@CHW | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1726 | MLB | Carson Benge 10 games | NYM vs LAD@NYM | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1727 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | H | 1.5 | +320 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1728 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1729 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | TB | 1.5 | +180 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1730 | MLB | Carson Whisenhunt 2 games | SF vs LAA@SFG | K | 4.5 | +102 | 3 | -1.5 | 0/2 | +0 | 26 | F | 7.0 | WIN | LOSS | |
| 1731 | MLB | Carson Whisenhunt 2 games | SF vs LAA@SFG | K | 5.5 | +215 | 3 | -2.5 | 0/2 | +0 | 26 | F | 7.0 | WIN | LOSS | |
| 1732 | MLB | Carter Jensen 10 games | KC vs KCR@DET | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1733 | MLB | Carter Jensen 10 games | KC vs KCR@DET | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1734 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1735 | MLB | Chase Meidroth 10 games | CWS vs HOU@CHW | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 2.0 | WIN | LOSS | |
| 1736 | MLB | Christian Encarnacion-Strand 5 games | BAL vs ATL@BAL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1737 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1738 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1739 | MLB | Cole Carrigg 10 games | COL vs COL@MIL | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1740 | MLB | Cole Young 10 games | SEA vs SEA@TEX | R | 1.5 | +1500 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 2.0 | WIN | LOSS | |
| 1741 | MLB | Cole Young 10 games | SEA vs SEA@TEX | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1742 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1743 | MLB | Colt Keith 10 games | DET vs KCR@DET | R | 1.5 | +550 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1744 | MLB | Colt Keith 10 games | DET vs KCR@DET | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1745 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | H | 0.5 | -120 | 0 | -0.5 | 0/5 | -0.1 | 26 | F | 1.0 | WIN | LOSS | |
| 1746 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | H | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1747 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1748 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1749 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | TB | 1.5 | +190 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1750 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING |
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.