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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | JJ Bleday 10 games | CIN vs NYM@CIN | R | 1.5 | +500 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 752 | MLB | Jo Adell 10 games | LAA vs LAA@ARI | RBI | 0.5 | +147 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | H | 1.5 | +340 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 754 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | TB | 1.5 | +150 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 756 | MLB | Jonathan Aranda 10 games | TB vs TBR@LAD | RBI | 0.5 | +210 | 0.6 | +0.1 | 1/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 757 | MLB | Jorbit Vivas 10 games | WSH vs KCR@WSN | RBI | 0.5 | +266 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | — | PENDING | PENDING | |
| 758 | MLB | Jordan Lawlar 3 games | AZ vs LAA@ARI | RBI | 0.5 | +232 | 0.7 | +0.2 | 1/3 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Jose Altuve 10 games | HOU vs DET@HOU | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Jose Altuve 10 games | HOU vs DET@HOU | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 761 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 762 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | RBI | 1.5 | +1000 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 763 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 764 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 765 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | RBI | 0.5 | +196 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 766 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | TB | 1.5 | +140 | 1.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 767 | MLB | Juan Soto 10 games | NYM vs NYM@CIN | HR | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Julio Rodriguez 10 games | SEA vs BAL@SEA | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 769 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Justin Crawford 10 games | PHI vs MIA@PHI | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 772 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 773 | MLB | Kevin McGonigle 10 games | DET vs DET@HOU | R | 1.5 | +700 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Kyle Higashioka 10 games | TEX vs MIN@TEX | H | 0.5 | -125 | 0.6 | +0.1 | 2/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 775 | MLB | Kyle Karros 10 games | COL vs COL@CHC | H | 1.5 | +450 | 1.4 | -0.1 | 2/5 | +0.5 | 37 | F | — | PENDING | PENDING | |
| 776 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 777 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | RBI | 0.5 | +227 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | — | PENDING | PENDING | |
| 778 | MLB | Lars Nootbaar 10 games | STL vs SDP@STL | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 779 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@ARI | RBI | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | Luis Arraez 10 games | SF vs SFG@ATL | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 781 | MLB | Luke Raley 10 games | SEA vs BAL@SEA | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 782 | MLB | Luke Raley 10 games | SEA vs BAL@SEA | RBI | 1.5 | +600 | 0.8 | -0.7 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 783 | MLB | Maikel Garcia 10 games | KC vs KCR@WSN | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Maikel Garcia 10 games | KC vs KCR@WSN | TB | 1.5 | +130 | 1.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Manny Machado 10 games | SD vs SDP@STL | RBI | 0.5 | +172 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Marcelo Mayer 10 games | BOS vs TOR@BOS | R | 0.5 | +195 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Masyn Winn 10 games | STL vs SDP@STL | TB | 1.5 | +190 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 789 | MLB | Matt Chapman 10 games | SF vs SFG@ATL | R | 1.5 | +900 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Max Muncy 10 games | LAD vs TBR@LAD | RBI | 1.5 | +500 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Michael Harris II 10 games | ATL vs SFG@ATL | TB | 2.5 | +200 | 1.8 | -0.7 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 792 | MLB | Mike Trout 10 games | LAA vs LAA@ARI | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 793 | MLB | Mike Trout 10 games | LAA vs LAA@ARI | RBI | 0.5 | +172 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 3.0 | WIN | LOSS | |
| 794 | MLB | Miles Mastrobuoni 5 games | SEA vs BAL@SEA | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 795 | MLB | Mitch Keller 10 games | PIT vs PIT@Athlet | K | 4.5 | +115 | 4 | -0.5 | 2/5 | -0.4 | 37 | F | 7.0 | WIN | LOSS | |
| 796 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | H | 0.5 | -130 | 0.8 | +0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | R | 0.5 | +210 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 798 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | TB | 1.5 | +225 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | Nathan Church 10 games | STL vs SDP@STL | TB | 1.5 | +230 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 800 | MLB | Nathan Lukes 10 games | TOR vs TOR@BOS | R | 0.5 | +225 | 0.4 | -0.1 | 2/5 | +0 | 37 | 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.