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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1651 | MLB | Willi Castro 10 games | COL vs COL@MIN | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1652 | MLB | Willi Castro 10 games | COL vs COL@MIN | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1653 | MLB | William Contreras 10 games | MIL vs CHC@MIL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1654 | MLB | William Contreras 10 games | MIL vs CHC@MIL | R | 1.5 | +600 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1655 | MLB | William Contreras 10 games | MIL vs CHC@MIL | RBI | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1656 | MLB | Willson Contreras 10 games | BOS vs NYY@BOS | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1657 | MLB | Willy Adames 10 games | SF vs ATL@SFG | H | 1.5 | +340 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1658 | MLB | Willy Adames 10 games | SF vs ATL@SFG | R | 1.5 | +1300 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1659 | MLB | Wilyer Abreu 10 games | BOS vs NYY@BOS | R | 1.5 | +800 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1660 | MLB | Wilyer Abreu 10 games | BOS vs NYY@BOS | RBI | 1.5 | +500 | 0.4 | -1.1 | 1/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 1661 | MLB | Wyatt Langford 10 games | TEX vs TEX@TOR | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | — | PENDING | PENDING | |
| 1662 | MLB | Xander Bogaerts 10 games | SD vs LAD@SDP | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1663 | MLB | Xavier Edwards 10 games | MIA vs MIA@STL | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1664 | MLB | Xavier Edwards 10 games | MIA vs MIA@STL | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1665 | MLB | Yainer Diaz 7 games | HOU vs HOU@DET | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1666 | MLB | Yandy Diaz 7 games | TB vs ARI@TBR | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1667 | MLB | Yordan Alvarez 10 games | HOU vs HOU@DET | H | 1.5 | +190 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | — | PENDING | PENDING | |
| 1668 | MLB | Yordan Alvarez 10 games | HOU vs HOU@DET | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1669 | MLB | Zach McKinstry 10 games | DET vs HOU@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1670 | MLB | Zach McKinstry 10 games | DET vs HOU@DET | RBI | 0.5 | +277 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1671 | MLB | Alejandro Kirk 6 games | TOR vs TEX@TOR | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 1672 | MLB | Amed Rosario 10 games | NYY vs NYY@BOS | H | 0.5 | -239 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 1.0 | WIN | LOSS | |
| 1673 | MLB | Andrew Benintendi 10 games | CWS vs KCR@CHW | H | 0.5 | -179 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 1674 | MLB | Braden Montgomery 10 games | CWS vs KCR@CHW | H | 0.5 | -181 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 2.0 | WIN | LOSS | |
| 1675 | MLB | Christian Walker 10 games | HOU vs HOU@DET | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 4.0 | WIN | LOSS | |
| 1676 | MLB | Coby Mayo 10 games | BAL vs WSN@BAL | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 1677 | MLB | Colby Thomas 10 games | ATH vs Athletics@ | H | 0.5 | -110 | 0 | -0.5 | 0/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1678 | MLB | Colt Keith 10 games | DET vs HOU@DET | H | 0.5 | -190 | 0.6 | +0.1 | 1/5 | +0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 1679 | MLB | Daulton Varsho 10 games | TOR vs TEX@TOR | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 1680 | MLB | Ernie Clement 10 games | TOR vs TEX@TOR | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 3.0 | WIN | LOSS | |
| 1681 | MLB | Gunnar Henderson 10 games | BAL vs WSN@BAL | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 1682 | MLB | Ivan Herrera 10 games | STL vs MIA@STL | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 1.0 | WIN | LOSS | |
| 1683 | MLB | Jake Bennett 4 games | BOS vs NYY@BOS | K | 3.5 | -175 | 3.3 | -0.3 | 2/4 | +0.1 | 28 | F | 3.0 | LOSS | WIN | |
| 1684 | MLB | Jared Jones 4 games | PIT vs CIN@PIT | K | 4.5 | -250 | 4.5 | +0 | 1/4 | -0.5 | 28 | F | 4.0 | LOSS | WIN | |
| 1685 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 0.0 | LOSS | WIN | |
| 1686 | MLB | Max Muncy 10 games | ATH vs LAD@SDP | H | 0.5 | -152 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 2.0 | WIN | LOSS | |
| 1687 | MLB | Michael Massey 10 games | KC vs KCR@CHW | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 2.0 | WIN | LOSS | |
| 1688 | MLB | Miguel Vargas 10 games | CWS vs KCR@CHW | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 1689 | MLB | Ryan Gusto 4 games | MIA vs MIA@STL | K | 2.5 | -375 | 2.3 | -0.3 | 2/4 | -0.3 | 28 | F | 4.0 | WIN | LOSS | |
| 1690 | MLB | Ryan Gusto 4 games | MIA vs MIA@STL | K | 3.5 | -110 | 2.3 | -1.3 | 1/4 | -0.3 | 28 | F | 4.0 | WIN | LOSS | |
| 1691 | MLB | Shohei Ohtani 10 games | LAD vs LAD@SDP | H | 0.5 | -320 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 2.0 | WIN | LOSS | |
| 1692 | MLB | Shohei Ohtani 10 games | LAD vs LAD@SDP | R | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 2.0 | WIN | LOSS | |
| 1693 | MLB | Spencer Steer 10 games | CIN vs CIN@PIT | H | 0.5 | -155 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 1.0 | WIN | LOSS | |
| 1694 | MLB | Xavier Edwards 10 games | MIA vs MIA@STL | H | 0.5 | -300 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 3.0 | WIN | LOSS | |
| 1695 | MLB | Austin Wells 10 games | NYY vs NYY@BOS | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.5 | 27 | F | 0.0 | LOSS | WIN | |
| 1696 | MLB | Brett Baty 10 games | NYM vs PHI@NYM | H | 0.5 | -125 | 0.4 | -0.1 | 1/5 | -0.4 | 27 | F | 0.0 | LOSS | WIN | |
| 1697 | MLB | Foster Griffin 9 games | WSH vs WSN@BAL | K | 5.5 | -140 | 5.2 | -0.3 | 2/5 | -0.6 | 27 | F | 9.0 | WIN | LOSS | |
| 1698 | MLB | Jake Bauers 10 games | MIL vs CHC@MIL | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.2 | 27 | F | 0.0 | LOSS | WIN | |
| 1699 | MLB | Jared Young 10 games | NYM vs PHI@NYM | H | 0.5 | -129 | 0.2 | -0.3 | 1/5 | -0.5 | 27 | F | 0.0 | LOSS | WIN | |
| 1700 | MLB | Jorge Mateo 10 games | ATL vs ATL@SFG | H | 0.5 | -125 | 0.2 | -0.3 | 1/5 | +0 | 27 | 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.