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 | Jackson Chourio 10 games | MIL vs MIL@COL | H | 1.5 | -105 | 1.2 | -0.3 | 2/5 | -0.1 | 36 | F | 3.0 | WIN | LOSS | |
| 702 | MLB | Jameson Taillon 10 games | CHC vs SFG@CHC | K | 4.5 | -102 | 4.2 | -0.3 | 2/5 | +0 | 36 | F | 2.0 | LOSS | WIN | |
| 703 | MLB | Jarren Duran 10 games | BOS vs BOS@NYY | TB | 1.5 | +135 | 1.8 | +0.3 | 2/5 | -2.1 | 36 | F | 0.0 | LOSS | WIN | |
| 704 | MLB | Kyle Tucker 10 games | LAD vs LAA@LAD | H | 0.5 | -165 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | F | 0.0 | LOSS | WIN | |
| 705 | MLB | Michael Helman 9 games | TEX vs CLE@TEX | H | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.1 | 36 | F | 1.0 | WIN | LOSS | |
| 706 | MLB | Michael McGreevy 10 games | STL vs CIN@STL | K | 3.5 | -165 | 4 | +0.5 | 2/5 | -0.8 | 36 | F | 5.0 | WIN | LOSS | |
| 707 | MLB | Michael Soroka 10 games | AZ vs WSN@ARI | K | 4.5 | -148 | 4.8 | +0.3 | 3/5 | -1.6 | 36 | F | 6.0 | WIN | LOSS | |
| 708 | MLB | Ozzie Albies 10 games | ATL vs PIT@ATL | TB | 1.5 | +143 | 1.6 | +0.1 | 2/5 | -2 | 36 | F | 2.0 | WIN | LOSS | |
| 709 | MLB | Patrick Bailey 10 games | CLE vs CLE@TEX | H | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.2 | 36 | F | 1.0 | WIN | LOSS | |
| 710 | MLB | Willi Castro 10 games | COL vs MIL@COL | TB | 1.5 | -105 | 1.4 | -0.1 | 2/5 | +0.4 | 36 | F | 2.0 | WIN | LOSS | |
| 711 | MLB | William Contreras 10 games | MIL vs MIL@COL | RBI | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +-0 | 36 | F | 1.0 | WIN | LOSS | |
| 712 | MLB | Zach McKinstry 10 games | DET vs SEA@DET | H | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0.5 | 36 | F | 1.0 | WIN | LOSS | |
| 713 | MLB | Aaron Nola 10 games | PHI vs CHW@PHI | K | 5.5 | +112 | 4.8 | -0.7 | 1/5 | +1.2 | 35 | F | 4.0 | LOSS | WIN | |
| 714 | MLB | Adley Rutschman 10 games | BAL vs BAL@TOR | R | 1.5 | +1000 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 715 | MLB | Adley Rutschman 10 games | BAL vs BAL@TOR | RBI | 1.5 | +600 | 1.4 | -0.1 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Alec Burleson 10 games | STL vs CIN@STL | R | 1.5 | +600 | 1 | -0.5 | 1/5 | +1.1 | 35 | F | 1.0 | LOSS | WIN | |
| 717 | MLB | Alec Burleson 10 games | STL vs CIN@STL | RBI | 1.5 | +450 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 718 | MLB | Austin Martin 10 games | MIN vs KCR@MIN | TB | 1.5 | +135 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 719 | MLB | Austin Riley 10 games | ATL vs PIT@ATL | H | 1.5 | +320 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 720 | MLB | Brandon Valenzuela 10 games | TOR vs BAL@TOR | H | 1.5 | +475 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 721 | MLB | Brandon Valenzuela 10 games | TOR vs BAL@TOR | RBI | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 2.0 | WIN | LOSS | |
| 722 | MLB | Bryce Johnson 10 games | SD vs NYM@SDP | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | +0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 723 | MLB | Christian Walker 10 games | HOU vs Athletics@ | H | 1.5 | +280 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 724 | MLB | Corey Seager 10 games | TEX vs CLE@TEX | TB | 1.5 | +135 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 725 | MLB | Dominic Smith 10 games | ATL vs PIT@ATL | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 726 | MLB | Dominic Smith 10 games | ATL vs PIT@ATL | TB | 1.5 | +165 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 727 | MLB | Dylan Crews 10 games | WSH vs WSN@ARI | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.2 | 35 | F | 0.0 | LOSS | WIN | |
| 728 | MLB | Ernie Clement 10 games | TOR vs BAL@TOR | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 729 | MLB | Ernie Clement 10 games | TOR vs BAL@TOR | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 730 | MLB | Freddy Fermin 10 games | SD vs NYM@SDP | TB | 1.5 | +240 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 6.0 | WIN | LOSS | |
| 731 | MLB | Gleyber Torres 10 games | DET vs SEA@DET | R | 1.5 | +800 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | Griffin Jax 10 games | TB vs TBR@MIA | K | 5.5 | +270 | 3.6 | -1.9 | 1/5 | +2 | 35 | F | 4.0 | LOSS | WIN | |
| 733 | MLB | Gunnar Henderson 10 games | BAL vs BAL@TOR | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 734 | MLB | Jhonny Pereda 10 games | SEA vs SEA@DET | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 735 | MLB | Jordan Walker 10 games | STL vs CIN@STL | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 736 | MLB | Jose Caballero 10 games | NYY vs BOS@NYY | TB | 1.5 | +210 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 737 | MLB | Julio Rodriguez 10 games | SEA vs SEA@DET | TB | 1.5 | +115 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | — | PENDING | PENDING | |
| 738 | MLB | Kyle Tucker 10 games | LAD vs LAA@LAD | TB | 1.5 | +140 | 1.4 | -0.1 | 1/5 | +1.2 | 35 | F | 0.0 | LOSS | WIN | |
| 739 | MLB | Marcus Semien 10 games | NYM vs NYM@SDP | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.1 | 35 | F | 2.0 | WIN | LOSS | |
| 740 | MLB | Matt McLain 10 games | CIN vs CIN@STL | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 741 | MLB | Matt Vierling 10 games | DET vs SEA@DET | TB | 1.5 | +200 | 1.4 | -0.1 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 742 | MLB | Moisés Ballesteros 10 games | CHC vs SFG@CHC | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | +0.2 | 35 | F | 1.0 | WIN | LOSS | |
| 743 | MLB | Nick Allen 10 games | HOU vs Athletics@ | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.2 | 35 | F | 1.0 | WIN | LOSS | |
| 744 | MLB | Nick Loftin 10 games | KC vs KCR@MIN | TB | 1.5 | +180 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | 3.0 | WIN | LOSS | |
| 745 | MLB | Nolan Gorman 10 games | STL vs CIN@STL | TB | 1.5 | +170 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 746 | MLB | Ryan Kreidler 10 games | MIN vs KCR@MIN | TB | 1.5 | +220 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | TB | 2.5 | +170 | 2.2 | -0.3 | 1/5 | +1 | 35 | F | 1.0 | LOSS | WIN | |
| 748 | MLB | Spencer Torkelson 10 games | DET vs SEA@DET | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 749 | MLB | Taylor Walls 10 games | TB vs TBR@MIA | H | 1.5 | +450 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 750 | MLB | Victor Caratini 10 games | MIN vs KCR@MIN | H | 1.5 | +340 | 1.4 | -0.1 | 1/5 | +0.8 | 35 | F | 1.0 | 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.