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 | Michael Wacha 10 games | KC vs KCR@CHW | K | 4.5 | -105 | 3.4 | -1.1 | 2/5 | -2.1 | 27 | F | 7.0 | WIN | LOSS | |
| 1702 | MLB | Victor Bericoto 10 games | SF vs ATL@SFG | H | 0.5 | -122 | 0.2 | -0.3 | 1/5 | -0.3 | 27 | F | — | PENDING | PENDING | |
| 1703 | MLB | A.J. Ewing 10 games | NYM vs PHI@NYM | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1704 | MLB | Alec Burleson 10 games | STL vs MIA@STL | R | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1705 | MLB | Alejandro Kirk 6 games | TOR vs TEX@TOR | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1706 | MLB | Alejandro Kirk 6 games | TOR vs TEX@TOR | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1707 | MLB | Alejandro Kirk 6 games | TOR vs TEX@TOR | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1708 | MLB | Alika Williams 10 games | ATH vs Athletics@ | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1709 | MLB | Alika Williams 10 games | ATH vs Athletics@ | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1710 | MLB | Amed Rosario 10 games | NYY vs NYY@BOS | H | 1.5 | +220 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1711 | MLB | Amed Rosario 10 games | NYY vs NYY@BOS | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1712 | MLB | Amed Rosario 10 games | NYY vs NYY@BOS | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1713 | MLB | Andrew Benintendi 10 games | CWS vs KCR@CHW | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1714 | MLB | Andrew Benintendi 10 games | CWS vs KCR@CHW | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1715 | MLB | Andy Pages 10 games | LAD vs LAD@SDP | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1716 | MLB | Andy Pages 10 games | LAD vs LAD@SDP | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1717 | MLB | Anthony Seigler 3 games | BOS vs NYY@BOS | R | 1.5 | +2000 | 0.3 | -1.2 | 0/3 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1718 | MLB | Anthony Seigler 3 games | BOS vs NYY@BOS | RBI | 1.5 | +1000 | 0 | -1.5 | 0/3 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1719 | MLB | Anthony Volpe 10 games | NYY vs NYY@BOS | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1720 | MLB | Austin Riley 10 games | ATL vs ATL@SFG | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1721 | MLB | Austin Riley 10 games | ATL vs ATL@SFG | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1722 | MLB | Blake Dunn 10 games | CIN vs CIN@PIT | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1723 | MLB | Blaze Alexander 10 games | BAL vs WSN@BAL | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1724 | MLB | Braden Montgomery 10 games | CWS vs KCR@CHW | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 1725 | MLB | Braden Montgomery 10 games | CWS vs KCR@CHW | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1726 | MLB | Braden Montgomery 10 games | CWS vs KCR@CHW | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1727 | MLB | Brandon Nimmo 10 games | TEX vs TEX@TOR | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1728 | MLB | Brandon Nimmo 10 games | TEX vs TEX@TOR | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1729 | MLB | Brayan Rocchio 10 games | CLE vs SEA@CLE | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1730 | MLB | Brayan Rocchio 10 games | CLE vs SEA@CLE | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1731 | MLB | Brett Baty 10 games | NYM vs PHI@NYM | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1732 | MLB | Brett Baty 10 games | NYM vs PHI@NYM | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1733 | MLB | Brice Matthews 10 games | HOU vs HOU@DET | H | 0.5 | -120 | 0.2 | -0.3 | 1/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1734 | MLB | Brice Matthews 10 games | HOU vs HOU@DET | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1735 | MLB | Brice Matthews 10 games | HOU vs HOU@DET | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1736 | MLB | Brice Matthews 10 games | HOU vs HOU@DET | TB | 1.5 | +230 | 0.4 | -1.1 | 1/5 | -1.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1737 | MLB | Brice Turang 10 games | MIL vs CHC@MIL | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1738 | MLB | Bryce Elder 9 games | ATL vs ATL@SFG | K | 4.5 | +120 | 3.4 | -1.1 | 1/5 | -0.7 | 26 | F | 4.0 | LOSS | WIN | |
| 1739 | MLB | Bryce Elder 9 games | ATL vs ATL@SFG | K | 5.5 | +225 | 3.4 | -2.1 | 1/5 | -0.7 | 26 | F | 4.0 | LOSS | WIN | |
| 1740 | MLB | Bryce Eldridge 10 games | SF vs ATL@SFG | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1741 | MLB | Bryce Eldridge 10 games | SF vs ATL@SFG | RBI | 1.5 | +600 | 0.6 | -0.9 | 0/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 1742 | MLB | Cal Raleigh 10 games | SEA vs SEA@CLE | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1743 | MLB | Cam Smith 10 games | HOU vs HOU@DET | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1744 | MLB | Cam Smith 10 games | HOU vs HOU@DET | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1745 | MLB | Ceddanne Rafaela 10 games | BOS vs NYY@BOS | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1746 | MLB | Ceddanne Rafaela 10 games | BOS vs NYY@BOS | RBI | 0.5 | +228 | 0 | -0.5 | 0/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN | |
| 1747 | MLB | Cedric Mullins 10 games | TB vs ARI@TBR | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1748 | MLB | Cedric Mullins 10 games | TB vs ARI@TBR | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1749 | MLB | Chandler Simpson 10 games | TB vs ARI@TBR | R | 1.5 | +1500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1750 | MLB | Chase Meidroth 10 games | CWS vs KCR@CHW | R | 1.5 | +1300 | 0.2 | -1.3 | 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.