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 | Michael Harris II 10 games | ATL vs ATL@BAL | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 752 | MLB | Munetaka Murakami 10 games | CWS vs HOU@CHW | R | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 753 | MLB | Munetaka Murakami 10 games | CWS vs HOU@CHW | TB | 1.5 | +145 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 754 | MLB | Nick Fortes 10 games | TB vs CLE@TBR | HR | 0.5 | +1200 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Nick Loftin 10 games | KC vs KCR@DET | H | 1.5 | +475 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 756 | MLB | Nick Loftin 10 games | KC vs KCR@DET | TB | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 757 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | H | 1.5 | +450 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 758 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | TB | 1.5 | +280 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 759 | MLB | Nolan Arenado 10 games | AZ vs ARI@WSN | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Nolan Arenado 10 games | AZ vs ARI@WSN | RBI | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 761 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | H | 1.5 | +187 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 762 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 763 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@PHI | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 764 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@PIT | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 765 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 766 | MLB | Riley Greene 10 games | DET vs KCR@DET | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 767 | MLB | Ryan Jeffers 7 games | MIN vs Athletics@ | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | H | 1.5 | +300 | 0.8 | -0.7 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 769 | MLB | Ryan Vilade 10 games | TB vs CLE@TBR | RBI | 0.5 | +211 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 770 | MLB | Ryan Vilade 10 games | TB vs CLE@TBR | TB | 1.5 | +190 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 4.0 | WIN | LOSS | |
| 771 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 772 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 773 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | RBI | 1.5 | +600 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 774 | MLB | Salvador Perez 10 games | KC vs KCR@DET | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Salvador Perez 10 games | KC vs KCR@DET | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +-0 | 37 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | Seiya Suzuki 10 games | CHC vs CHC@PIT | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 777 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | H | 1.5 | +240 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 778 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | RBI | 0.5 | +204 | 0.6 | +0.1 | 1/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | Spencer Torkelson 10 games | DET vs KCR@DET | R | 0.5 | +110 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | Starling Marte 10 games | KC vs KCR@DET | R | 0.5 | +240 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 783 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | RBI | 0.5 | +344 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 784 | MLB | Taylor Trammell 10 games | HOU vs HOU@CHW | H | 0.5 | +107 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 785 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 786 | MLB | Taylor Ward 10 games | BAL vs ATL@BAL | TB | 1.5 | +145 | 1.4 | -0.1 | 2/5 | -0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 787 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Tommy Edman 10 games | LAD vs LAD@NYM | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Tommy White 5 games | ATH vs Athletics@ | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Travis Bazzana 10 games | CLE vs CLE@TBR | RBI | 0.5 | +297 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Trea Turner 10 games | PHI vs NYY@PHI | R | 1.5 | +600 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Trey Yesavage 10 games | TOR vs TOR@BOS | K | 6.5 | +200 | 5 | -1.5 | 2/5 | +0.8 | 37 | F | 9.0 | WIN | LOSS | |
| 793 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | H | 1.5 | +200 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 794 | MLB | Vaughn Grissom 10 games | LAA vs LAA@SFG | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 795 | MLB | Vaughn Grissom 10 games | LAA vs LAA@SFG | RBI | 0.5 | +244 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 796 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | TB | 1.5 | +115 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 797 | MLB | Weston Wilson 10 games | SEA vs SEA@TEX | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | Willi Castro 10 games | COL vs COL@MIL | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 799 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | RBI | 1.5 | +475 | 1 | -0.5 | 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.