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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801 | MLB | Jared Young 10 games | NYM vs NYM@CIN | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Jared Young 10 games | NYM vs NYM@CIN | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Jase Bowen 8 games | SD vs SDP@STL | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 804 | MLB | Javier Sanoja 10 games | MIA vs MIA@PHI | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Javier Sanoja 10 games | MIA vs MIA@PHI | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Javier Sanoja 10 games | MIA vs MIA@PHI | TB | 1.5 | +220 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Jeff McNeil 10 games | ATH vs PIT@Athlet | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 808 | MLB | Jimmy Crooks 8 games | STL vs SDP@STL | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Jimmy Crooks 8 games | STL vs SDP@STL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 810 | MLB | JJ Bleday 10 games | CIN vs NYM@CIN | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 811 | MLB | JJ Wetherholt 10 games | STL vs SDP@STL | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | JJ Wetherholt 10 games | STL vs SDP@STL | R | 1.5 | +500 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Jo Adell 10 games | LAA vs LAA@ARI | RBI | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 814 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | H | 1.5 | +380 | 0.6 | -0.9 | 1/5 | +-0 | 32 | F | 2.0 | WIN | LOSS | |
| 815 | MLB | Joe Mack 10 games | MIA vs MIA@PHI | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Joe Mack 10 games | MIA vs MIA@PHI | R | 1.5 | +2000 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Jonathan Aranda 10 games | TB vs TBR@LAD | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 818 | MLB | Jorge Barrosa 10 games | AZ vs LAA@ARI | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 819 | MLB | Jose Altuve 10 games | HOU vs DET@HOU | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 820 | MLB | Jose Altuve 10 games | HOU vs DET@HOU | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 821 | MLB | Jose Altuve 10 games | HOU vs DET@HOU | RBI | 0.5 | +180 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 822 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | H | 1.5 | +380 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 823 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 824 | MLB | Josh Jung 10 games | TEX vs MIN@TEX | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Josh Jung 10 games | TEX vs MIN@TEX | RBI | 0.5 | +185 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Juan Soto 10 games | NYM vs NYM@CIN | R | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | HR | 0.5 | +240 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | R | 0.5 | +100 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 829 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | RBI | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | TB | 2.5 | +140 | 1.6 | -0.9 | 1/5 | +0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 831 | MLB | Justin Crawford 10 games | PHI vs MIA@PHI | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 832 | MLB | Keibert Ruiz 10 games | WSH vs KCR@WSN | H | 1.5 | +240 | 1.2 | -0.3 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 833 | MLB | Keibert Ruiz 10 games | WSH vs KCR@WSN | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | Keibert Ruiz 10 games | WSH vs KCR@WSN | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 835 | MLB | Keibert Ruiz 10 games | WSH vs KCR@WSN | RBI | 0.5 | +180 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Kerry Carpenter 10 games | DET vs DET@HOU | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 837 | MLB | Ketel Marte 10 games | AZ vs LAA@ARI | RBI | 0.5 | +159 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Kevin McGonigle 10 games | DET vs DET@HOU | R | 1.5 | +500 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 839 | MLB | Kevin McGonigle 10 games | DET vs DET@HOU | TB | 1.5 | +129 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 5.0 | WIN | LOSS | |
| 840 | MLB | Kyle Higashioka 10 games | TEX vs MIN@TEX | H | 1.5 | +450 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 841 | MLB | Kyle Higashioka 10 games | TEX vs MIN@TEX | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 842 | MLB | Kyle Higashioka 10 games | TEX vs MIN@TEX | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 843 | MLB | Kyle Higashioka 10 games | TEX vs MIN@TEX | TB | 1.5 | +200 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 844 | MLB | Kyle Karros 10 games | COL vs COL@CHC | RBI | 0.5 | +250 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Kyle Schwarber 10 games | PHI vs MIA@PHI | HR | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Kyle Schwarber 10 games | PHI vs MIA@PHI | RBI | 0.5 | +133 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | H | 1.5 | +380 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | RBI | 1.5 | +700 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Kyle Tucker 10 games | LAD vs TBR@LAD | H | 1.5 | +300 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS |
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.