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 | Jacob Gonzalez 10 games | PIT vs ARI@PIT | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1702 | MLB | Jacob Gonzalez 10 games | PIT vs ARI@PIT | TB | 1.5 | +150 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1703 | MLB | Jacob Wilson 10 games | ATH vs BOS@Athlet | RBI | 0.5 | +212 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1704 | MLB | Jake Mangum 10 games | PIT vs ARI@PIT | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1705 | MLB | Jake Mangum 10 games | PIT vs ARI@PIT | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1706 | MLB | Jakob Marsee 10 games | MIA vs PHI@MIA | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1707 | MLB | James Jarvis 10 games | vs ATL@NYM | H | 1.5 | +400 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | — | PENDING | PENDING | |
| 1708 | MLB | James Jarvis 10 games | vs ATL@NYM | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1709 | MLB | James Outman 10 games | DET vs BAL@DET | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1710 | MLB | Jared Young 10 games | NYM vs ATL@NYM | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1711 | MLB | Javier Sanoja 10 games | MIA vs PHI@MIA | H | 1.5 | +260 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1712 | MLB | Javier Sanoja 10 games | MIA vs PHI@MIA | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1713 | MLB | Javier Sanoja 10 games | MIA vs PHI@MIA | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1714 | MLB | Jimmy Crooks 10 games | STL vs CHC@STL | H | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1715 | MLB | Jimmy Crooks 10 games | STL vs CHC@STL | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1716 | MLB | Jimmy Crooks 10 games | STL vs CHC@STL | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1717 | MLB | JJ Bleday 10 games | CIN vs CLE@CIN | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1718 | MLB | JJ Bleday 10 games | CIN vs CLE@CIN | RBI | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1719 | MLB | JJ Wetherholt 10 games | STL vs CHC@STL | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1720 | MLB | Joe Mack 10 games | MIA vs PHI@MIA | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1721 | MLB | Jonathan Aranda 10 games | TB vs TEX@TBR | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1722 | MLB | Jonathan Aranda 10 games | TB vs TEX@TBR | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1723 | MLB | Jordan Walker 10 games | STL vs CHC@STL | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1724 | MLB | Jordan Walker 10 games | STL vs CHC@STL | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1725 | MLB | Jose Caballero 10 games | NYY vs NYY@CHW | H | 1.5 | +360 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1726 | MLB | Jose Caballero 10 games | NYY vs NYY@CHW | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1727 | MLB | Jose Caballero 10 games | NYY vs NYY@CHW | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1728 | MLB | Jose Caballero 10 games | NYY vs NYY@CHW | TB | 1.5 | +190 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 1729 | MLB | Jose Tena 10 games | WSH vs TOR@WSN | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1730 | MLB | Josh Bell 10 games | MIN vs KCR@MIN | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1731 | MLB | Josh Smith 10 games | TEX vs TEX@TBR | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1732 | MLB | Josh Smith 10 games | TEX vs TEX@TBR | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1733 | MLB | Josh Smith 10 games | TEX vs TEX@TBR | TB | 1.5 | +230 | 0.6 | -0.9 | 0/5 | -1.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1734 | MLB | Junior Caminero 10 games | TB vs TEX@TBR | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1735 | MLB | Junior Caminero 10 games | TB vs TEX@TBR | RBI | 1.5 | +300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1736 | MLB | Justin Crawford 10 games | PHI vs PHI@MIA | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1737 | MLB | Justin Crawford 10 games | PHI vs PHI@MIA | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1738 | MLB | Keibert Ruiz 10 games | WSH vs TOR@WSN | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1739 | MLB | Keibert Ruiz 10 games | WSH vs TOR@WSN | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1740 | MLB | Keibert Ruiz 10 games | WSH vs TOR@WSN | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1741 | MLB | Ketel Marte 10 games | AZ vs ARI@PIT | RBI | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1742 | MLB | Kevin McGonigle 10 games | DET vs BAL@DET | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 4.0 | WIN | LOSS | |
| 1743 | MLB | Kevin McGonigle 10 games | DET vs BAL@DET | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1744 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | RBI | 1.5 | +400 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1745 | MLB | Kyle Schwarber 10 games | PHI vs PHI@MIA | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1746 | MLB | Kyle Stowers 10 games | MIA vs PHI@MIA | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1747 | MLB | Kyle Stowers 10 games | MIA vs PHI@MIA | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1748 | MLB | Lane Thomas 10 games | KC vs KCR@MIN | H | 1.5 | +260 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1749 | MLB | Lane Thomas 10 games | KC vs KCR@MIN | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1750 | MLB | Lars Nootbaar 10 games | STL vs CHC@STL | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0 | 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.