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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 701 | MLB | Josh Naylor 10 games | SEA vs TEX | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 702 | MLB | Julio Rodriguez 10 games | SEA vs TEX | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 703 | MLB | Jung Hoo Lee 10 games | SF vs STL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 704 | MLB | Justin Crawford 10 games | PHI vs HOU | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 705 | MLB | Kaelen Culpepper 10 games | DET vs MIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 706 | MLB | Ke'Bryan Hayes 10 games | LAD vs CIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 707 | MLB | Ke'Bryan Hayes 10 games | LAD vs CIN | RBI | 0.5 | +485 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 708 | MLB | Keibert Ruiz 10 games | SD vs WSH | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 709 | MLB | Ketel Marte 10 games | KC vs ARI | H | 1.5 | +225 | 1 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | LOSS | WIN | |
| 710 | MLB | Kody Clemens 10 games | DET vs MIN | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 711 | MLB | Konnor Griffin 3 games | CWS vs PIT | HR | 0.5 | +600 | 0 | -0.5 | 0/3 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 712 | MLB | Konnor Griffin 3 games | CWS vs PIT | RBI | 0.5 | +245 | 0 | -0.5 | 0/3 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 713 | MLB | Kyle Isbel 10 games | KC vs ARI | H | 1.5 | +430 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 714 | MLB | Kyle Isbel 10 games | KC vs ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 715 | MLB | Kyle Isbel 10 games | KC vs ARI | RBI | 0.5 | +257 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Kyle Schwarber 10 games | PHI vs HOU | HR | 2.5 | +12500 | 0.6 | -1.9 | 0/5 | +0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 717 | MLB | Kyle Teel 8 games | CWS vs PIT | H | 0.5 | -120 | 0.2 | -0.3 | 1/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 718 | MLB | LaMonte Wade Jr. 10 games | PHI vs HOU | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 719 | MLB | Lars Nootbaar 10 games | KC vs ARI | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 720 | MLB | Leody Taveras 10 games | BAL vs CLE | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 721 | MLB | Leody Taveras 10 games | BAL vs CLE | RBI | 0.5 | +307 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 722 | MLB | Leonardo Bernal 7 games | SF vs STL | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 723 | MLB | Liam Hicks 10 games | ATL vs TB | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 724 | MLB | Luis Arraez 10 games | PHI vs HOU | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 725 | MLB | Luis Garcia Jr. 10 games | NYY vs COL | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 726 | MLB | Luis Garcia Jr. 10 games | NYY vs COL | RBI | 0.5 | +138 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 727 | MLB | Luis Lara 10 games | MIL vs CHC | HR | 0.5 | +950 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 728 | MLB | Luke Keaschall 10 games | DET vs MIN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 729 | MLB | Marcus Semien 10 games | MIA vs NYM | HR | 0.5 | +950 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 730 | MLB | Matt Olson 10 games | ATL vs TB | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 731 | MLB | Matt Olson 10 games | ATL vs TB | RBI | 0.5 | +177 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | Matthew Lugo 6 games | KC vs ARI | HR | 0.5 | +625 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 733 | MLB | Matthew Lugo 6 games | KC vs ARI | RBI | 0.5 | +206 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 734 | MLB | Max Clark 10 games | DET vs MIN | HR | 0.5 | +1150 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 735 | MLB | Michael Harris II 10 games | ATL vs TB | HR | 0.5 | +430 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 736 | MLB | Michael Massey 10 games | KC vs ARI | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 737 | MLB | Miguel Rojas 10 games | LAD vs CIN | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 738 | MLB | Miguel Rojas 10 games | LAD vs CIN | RBI | 0.5 | +225 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 739 | MLB | Mike Trout 10 games | BOS vs LAA | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 740 | MLB | Mike Yastrzemski 10 games | ATL vs TB | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 741 | MLB | Mike Yastrzemski 10 games | ATL vs TB | RBI | 0.5 | +330 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 742 | MLB | Myles Straw 10 games | OAK vs TOR | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 743 | MLB | Nasim Nunez 10 games | SD vs WSH | H | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 744 | MLB | Nasim Nunez 10 games | SD vs WSH | HR | 0.5 | +1800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 745 | MLB | Nasim Nunez 10 games | SD vs WSH | RBI | 0.5 | +407 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 746 | MLB | Nathan Church 10 games | SF vs STL | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Nathan Lukes 10 games | OAK vs TOR | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 748 | MLB | Nick Gonzales 10 games | CWS vs PIT | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 749 | MLB | Nick Loftin 10 games | KC vs ARI | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 750 | MLB | Nico Hoerner 10 games | MIL vs CHC | HR | 0.5 | +1600 | 0 | -0.5 | 0/5 | -0.1 | 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.