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 | Juan Soto 10 games | NYM vs BAL@NYM | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 702 | MLB | Juan Soto 10 games | NYM vs BAL@NYM | RBI | 0.5 | +170 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 703 | MLB | Julio Rodriguez 10 games | SEA vs SEA@LAA | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 704 | MLB | Julio Rodriguez 10 games | SEA vs SEA@LAA | RBI | 1.5 | +475 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 705 | MLB | Jung Hoo Lee 10 games | SF vs SFG@STL | H | 1.5 | +192 | 0.8 | -0.7 | 1/5 | +-0 | 32 | F | 1.0 | LOSS | WIN | |
| 706 | MLB | Jung Hoo Lee 10 games | SF vs SFG@STL | RBI | 0.5 | +210 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 707 | MLB | Junior Caminero 10 games | TB vs ATHLETICS@ | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 708 | MLB | Junior Caminero 10 games | TB vs ATHLETICS@ | RBI | 0.5 | +125 | 0.4 | -0.1 | 1/5 | +-0 | 32 | F | 1.0 | WIN | LOSS | |
| 709 | MLB | Kaelen Culpepper 10 games | MIN vs NYY@MIN | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 710 | MLB | Kaelen Culpepper 10 games | MIN vs NYY@MIN | RBI | 0.5 | +296 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 711 | MLB | Kazuma Okamoto 10 games | TOR vs DET@TOR | H | 1.5 | +340 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 712 | MLB | Kazuma Okamoto 10 games | TOR vs DET@TOR | RBI | 1.5 | +475 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 713 | MLB | Ketel Marte 10 games | AZ vs MIA@ARI | H | 1.5 | +200 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 714 | MLB | Kevin McGonigle 10 games | DET vs DET@TOR | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 715 | MLB | Kevin McGonigle 10 games | DET vs DET@TOR | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Konnor Griffin 9 games | PIT vs MIL@PIT | H | 1.5 | +340 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 717 | MLB | Konnor Griffin 9 games | PIT vs MIL@PIT | RBI | 0.5 | +289 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 718 | MLB | Kyle Karros 10 games | COL vs SDP@COL | H | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 719 | MLB | Kyle Karros 10 games | COL vs SDP@COL | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 720 | MLB | Kyle Karros 10 games | COL vs SDP@COL | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 721 | MLB | Kyle Schwarber 10 games | PHI vs PHI@WSN | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 722 | MLB | Kyle Schwarber 10 games | PHI vs PHI@WSN | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 723 | MLB | Kyle Stowers 10 games | MIA vs MIA@ARI | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 724 | MLB | Kyle Tucker 10 games | LAD vs LAD@CIN | RBI | 1.5 | +450 | 1.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 725 | MLB | Lars Nootbaar 10 games | AZ vs MIA@ARI | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 726 | MLB | Lars Nootbaar 10 games | AZ vs MIA@ARI | RBI | 0.5 | +200 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 727 | MLB | Lazaro Montes 10 games | SEA vs SEA@LAA | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 728 | MLB | Lazaro Montes 10 games | SEA vs SEA@LAA | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 729 | MLB | Leody Taveras 10 games | BAL vs BAL@NYM | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 730 | MLB | Liam Hicks 10 games | TB vs ATHLETICS@ | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 731 | MLB | Liam Hicks 10 games | TB vs ATHLETICS@ | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | Luis Campusano 10 games | SD vs SDP@COL | RBI | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 733 | MLB | Luis Garcia Jr. 10 games | NYY vs NYY@MIN | RBI | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 734 | MLB | Luke Keaschall 10 games | MIN vs NYY@MIN | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 735 | MLB | Manny Machado 10 games | SD vs SDP@COL | RBI | 1.5 | +260 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 736 | MLB | Marcus Semien 10 games | NYM vs BAL@NYM | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 737 | MLB | Masyn Winn 10 games | STL vs SFG@STL | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 738 | MLB | Masyn Winn 10 games | STL vs SFG@STL | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 739 | MLB | Matt Olson 10 games | ATL vs ATL@CHC | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 740 | MLB | Matt Shaw 10 games | CHC vs ATL@CHC | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 741 | MLB | Mauricio Dubon 10 games | ATL vs ATL@CHC | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 742 | MLB | Max Clark 10 games | DET vs DET@TOR | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 743 | MLB | Max Muncy 10 games | LAD vs LAD@CIN | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 744 | MLB | Max Muncy 10 games | LAD vs LAD@CIN | RBI | 0.5 | +144 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 745 | MLB | Michael Busch 10 games | CHC vs ATL@CHC | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 746 | MLB | Michael Busch 10 games | CHC vs ATL@CHC | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Michael Harris II 10 games | ATL vs ATL@CHC | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 748 | MLB | Miguel Vargas 10 games | CWS vs CHW@CLE | H | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 749 | MLB | Miguel Vargas 10 games | CWS vs CHW@CLE | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 750 | MLB | Miguel Vargas 10 games | CWS vs CHW@CLE | RBI | 0.5 | +169 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 3.0 | 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.