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 | Geraldo Perdomo 10 games | AZ vs MIA@ARI | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 752 | MLB | Gleyber Torres 10 games | DET vs DET@TOR | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Griffin Conine 10 games | MIA vs MIA@ARI | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 754 | MLB | Griffin Conine 10 games | MIA vs MIA@ARI | RBI | 1.5 | +600 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Gunnar Henderson 10 games | BAL vs BAL@NYM | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 756 | MLB | Gunnar Henderson 10 games | BAL vs BAL@NYM | RBI | 0.5 | +214 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 757 | MLB | Ha-Seong Kim 10 games | ATL vs ATL@CHC | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Hao-Yu Lee 10 games | DET vs DET@TOR | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Hector Rodriguez 10 games | CIN vs LAD@CIN | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Hector Rodriguez 10 games | CIN vs LAD@CIN | RBI | 0.5 | +418 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 761 | MLB | Heriberto Hernandez 10 games | MIA vs MIA@ARI | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 762 | MLB | Heriberto Hernandez 10 games | MIA vs MIA@ARI | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 763 | MLB | Heriberto Hernandez 10 games | MIA vs MIA@ARI | RBI | 0.5 | +209 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 764 | MLB | Heston Kjerstad 7 games | BAL vs BAL@NYM | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Ian Happ 10 games | CHC vs ATL@CHC | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 766 | MLB | Ivan Herrera 10 games | STL vs SFG@STL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 767 | MLB | Jackson Holliday 10 games | BAL vs BAL@NYM | H | 1.5 | +360 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 768 | MLB | Jackson Holliday 10 games | BAL vs BAL@NYM | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Jake Cronenworth 10 games | SD vs SDP@COL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Jake McCarthy 10 games | COL vs SDP@COL | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Jakob Marsee 10 games | MIA vs MIA@ARI | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 772 | MLB | Javier Sanoja 10 games | MIA vs MIA@ARI | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 773 | MLB | JJ Bleday 10 games | CIN vs LAD@CIN | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Joe Mack 10 games | MIA vs MIA@ARI | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 775 | MLB | John Peck 10 games | DET vs DET@TOR | H | 1.5 | +400 | 0.8 | -0.7 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | John Peck 10 games | DET vs DET@TOR | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 777 | MLB | John Peck 10 games | DET vs DET@TOR | RBI | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Jonah Cox 10 games | SF vs SFG@STL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Jordan Lawlar 10 games | AZ vs MIA@ARI | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 780 | MLB | Jordan Walker 10 games | STL vs SFG@STL | H | 1.5 | +230 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 781 | MLB | Jordan Walker 10 games | STL vs SFG@STL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Jordan Walker 10 games | STL vs SFG@STL | RBI | 0.5 | +153 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Jose Ramirez 10 games | CLE vs CHW@CLE | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Jose Ramirez 10 games | CLE vs CHW@CLE | RBI | 0.5 | +184 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Josh Bell 10 games | MIN vs NYY@MIN | H | 1.5 | +300 | 0.4 | -1.1 | 1/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 786 | MLB | Josh Naylor 10 games | SEA vs SEA@LAA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Jung Hoo Lee 10 games | SF vs SFG@STL | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Jung Hoo Lee 10 games | SF vs SFG@STL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Kaelen Culpepper 10 games | MIN vs NYY@MIN | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 790 | MLB | Kazuma Okamoto 10 games | TOR vs DET@TOR | RBI | 1.5 | +550 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 3.0 | WIN | LOSS | |
| 791 | MLB | Ke'Bryan Hayes 10 games | CIN vs LAD@CIN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Ke'Bryan Hayes 10 games | CIN vs LAD@CIN | RBI | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 793 | MLB | Ketel Marte 10 games | AZ vs MIA@ARI | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 794 | MLB | Kyle Karros 10 games | COL vs SDP@COL | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 795 | MLB | Kyle Stowers 10 games | MIA vs MIA@ARI | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 796 | MLB | Kyle Stowers 10 games | MIA vs MIA@ARI | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Kyle Stowers 10 games | MIA vs MIA@ARI | RBI | 0.5 | +201 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 798 | MLB | Kyle Teel 10 games | CWS vs CHW@CLE | H | 0.5 | -115 | 0.4 | -0.1 | 1/5 | +0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 799 | MLB | Kyle Teel 10 games | CWS vs CHW@CLE | H | 1.5 | +475 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 800 | MLB | Kyle Teel 10 games | CWS vs CHW@CLE | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.2 | 29 | 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.