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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | MLB | Jo Adell 10 games | LAA vs LAA@SFG | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 652 | MLB | Jo Adell 10 games | LAA vs LAA@SFG | RBI | 1.5 | +500 | 0.8 | -0.7 | 2/5 | -0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 653 | MLB | Joc Pederson 10 games | TEX vs SEA@TEX | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | Joc Pederson 10 games | TEX vs SEA@TEX | RBI | 0.5 | +209 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 655 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | RBI | 0.5 | +199 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | — | PENDING | PENDING | |
| 658 | MLB | Jordan Walker 10 games | STL vs CIN@STL | H | 1.5 | +195 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 659 | MLB | Jordan Walker 10 games | STL vs CIN@STL | TB | 2.5 | +150 | 1.4 | -1.1 | 2/5 | +0.7 | 37 | F | 0.0 | LOSS | WIN | |
| 660 | MLB | Jorge Soler 10 games | LAA vs LAA@SFG | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 661 | MLB | Jose Altuve 10 games | HOU vs HOU@CHW | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 662 | MLB | Josh Bell 10 games | MIN vs Athletics@ | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 663 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 664 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 665 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 666 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 667 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | TB | 1.5 | -130 | 1.6 | +0.1 | 2/5 | +0.1 | 37 | F | 4.0 | WIN | LOSS | |
| 668 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | TB | 2.5 | +150 | 1.6 | -0.9 | 2/5 | +0.1 | 37 | F | 4.0 | WIN | LOSS | |
| 669 | MLB | Kody Clemens 10 games | MIN vs Athletics@ | TB | 1.5 | +120 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | 7.0 | WIN | LOSS | |
| 670 | MLB | Kyle Freeland 9 games | COL vs COL@MIL | K | 5.5 | +230 | 5.2 | -0.3 | 2/5 | +0.1 | 37 | F | 2.0 | LOSS | WIN | |
| 671 | MLB | Kyle Leahy 9 games | STL vs CIN@STL | K | 4.5 | +103 | 4 | -0.5 | 2/5 | -0.1 | 37 | F | 9.0 | WIN | LOSS | |
| 672 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | RBI | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 673 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 674 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 675 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 676 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | RBI | 0.5 | +220 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 677 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | TB | 1.5 | +220 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 679 | MLB | Logan Gilbert 9 games | SEA vs SEA@TEX | K | 7.5 | +180 | 7.4 | -0.1 | 2/5 | +0 | 37 | F | 4.0 | LOSS | WIN | |
| 680 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | H | 1.5 | +360 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 681 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | TB | 1.5 | +180 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 682 | MLB | Luis Robert Jr. 5 games | NYM vs LAD@NYM | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 683 | MLB | Luis Robert Jr. 5 games | NYM vs LAD@NYM | RBI | 0.5 | +185 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 685 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | RBI | 0.5 | +215 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | H | 1.5 | +260 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 687 | MLB | Max Muncy 10 games | LAD vs LAD@NYM | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 688 | MLB | Max Muncy 10 games | LAD vs LAD@NYM | RBI | 1.5 | +400 | 0.8 | -0.7 | 2/5 | +-0 | 37 | F | 1.0 | LOSS | WIN | |
| 689 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 690 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | RBI | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 691 | MLB | Michael Massey 10 games | KC vs KCR@DET | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 692 | MLB | Mickey Moniak 10 games | COL vs COL@MIL | H | 1.5 | +450 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 693 | MLB | Mickey Moniak 10 games | COL vs COL@MIL | RBI | 1.5 | +800 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | RBI | 0.5 | +151 | 0.6 | +0.1 | 1/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 695 | MLB | Munetaka Murakami 10 games | CWS vs HOU@CHW | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 9.0 | WIN | LOSS | |
| 696 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | HR | 0.5 | +700 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 698 | MLB | Nick Fortes 10 games | TB vs CLE@TBR | HR | 0.5 | +1000 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 699 | MLB | Nick Fortes 10 games | TB vs CLE@TBR | R | 1.5 | +2000 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Nick Gonzales 10 games | PIT vs CHC@PIT | RBI | 0.5 | +226 | 0.4 | -0.1 | 2/5 | -0.1 | 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.