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 | James Outman 10 games | DET vs HOU@DET | R | 0.5 | +185 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 702 | MLB | James Outman 10 games | DET vs HOU@DET | RBI | 0.5 | +290 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 703 | MLB | James Outman 10 games | DET vs HOU@DET | TB | 1.5 | +240 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 704 | MLB | James Wood 10 games | WSH vs WSN@BAL | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -1 | 37 | F | 0.0 | LOSS | WIN | |
| 705 | MLB | Jared Young 10 games | NYM vs PHI@NYM | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 706 | MLB | Jasson Domínguez 10 games | NYY vs NYY@BOS | H | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 707 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@BOS | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 708 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@BOS | RBI | 0.5 | +214 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 709 | MLB | Jeremiah Jackson 10 games | BAL vs WSN@BAL | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 710 | MLB | JJ Wetherholt 10 games | STL vs MIA@STL | H | 1.5 | +220 | 1.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 711 | MLB | Jo Adell 10 games | LAA vs Athletics@ | TB | 1.5 | +131 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 5.0 | WIN | LOSS | |
| 712 | MLB | Joc Pederson 10 games | TEX vs TEX@TOR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 713 | MLB | Joe Mack 10 games | MIA vs MIA@STL | HR | 0.5 | +900 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 714 | MLB | Jonathan Aranda 10 games | TB vs ARI@TBR | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 715 | MLB | Jonathan Aranda 10 games | TB vs ARI@TBR | RBI | 0.5 | +174 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 716 | MLB | Jordan Walker 10 games | STL vs MIA@STL | RBI | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 717 | MLB | Jose Altuve 10 games | HOU vs HOU@DET | HR | 0.5 | +750 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 718 | MLB | Jose Altuve 10 games | HOU vs HOU@DET | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 719 | MLB | Jose Caballero 10 games | NYY vs NYY@BOS | HR | 0.5 | +1000 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 720 | MLB | Josh Bell 10 games | MIN vs COL@MIN | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 721 | MLB | Josh Bell 10 games | MIN vs COL@MIN | RBI | 1.5 | +450 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 722 | MLB | Josh Naylor 10 games | SEA vs SEA@CLE | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 723 | MLB | Julio Rodriguez 10 games | SEA vs SEA@CLE | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 724 | MLB | Junior Caminero 10 games | TB vs ARI@TBR | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 725 | MLB | Junior Caminero 10 games | TB vs ARI@TBR | RBI | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 726 | MLB | Junior Caminero 10 games | TB vs ARI@TBR | TB | 2.5 | +170 | 1.8 | -0.7 | 2/5 | +0.3 | 37 | F | 4.0 | WIN | LOSS | |
| 727 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | H | 1.5 | +475 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 728 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | RBI | 0.5 | +159 | 0.6 | +0.1 | 1/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 729 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 730 | MLB | Kevin McGonigle 10 games | DET vs HOU@DET | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 731 | MLB | Kevin McGonigle 10 games | DET vs HOU@DET | RBI | 0.5 | +225 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | Konnor Griffin 10 games | PIT vs CIN@PIT | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | — | PENDING | PENDING | |
| 733 | MLB | Konnor Griffin 10 games | PIT vs CIN@PIT | RBI | 0.5 | +249 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | — | PENDING | PENDING | |
| 734 | MLB | Kyle Manzardo 10 games | CLE vs SEA@CLE | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 735 | MLB | Kyle Tucker 10 games | LAD vs LAD@SDP | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 736 | MLB | Lane Thomas 10 games | KC vs KCR@CHW | HR | 0.5 | +700 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 737 | MLB | Leody Taveras 10 games | BAL vs WSN@BAL | TB | 1.5 | +190 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 738 | MLB | Logan O'Hoppe 10 games | LAA vs Athletics@ | RBI | 0.5 | +241 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 739 | MLB | Logan Webb 6 games | SF vs ATL@SFG | K | 6.5 | +230 | 5.4 | -1.1 | 2/5 | +0.5 | 37 | F | 6.0 | LOSS | WIN | |
| 740 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@TBR | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 4.0 | WIN | LOSS | |
| 741 | MLB | Luis Arraez 10 games | SF vs ATL@SFG | H | 1.5 | +179 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 742 | MLB | Luis Arraez 10 games | SF vs ATL@SFG | R | 1.5 | +800 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 743 | MLB | Luke Raley 10 games | SEA vs SEA@CLE | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 744 | MLB | Luke Raley 10 games | SEA vs SEA@CLE | RBI | 1.5 | +600 | 0.8 | -0.7 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 745 | MLB | Manny Machado 10 games | SD vs LAD@SDP | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 746 | MLB | Marcell Ozuna 10 games | PIT vs CIN@PIT | RBI | 0.5 | +268 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Matt Olson 10 games | ATL vs ATL@SFG | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 748 | MLB | Matt Shaw 10 games | CHC vs CHC@MIL | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 749 | MLB | Max Muncy 10 games | ATH vs LAD@SDP | RBI | 1.5 | +475 | 0.8 | -0.7 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 750 | MLB | Michael Massey 10 games | KC vs KCR@CHW | RBI | 0.5 | +232 | 0.4 | -0.1 | 2/5 | +0.2 | 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.