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 | Weston Wilson 10 games | SEA vs SEA@NYY | H | 0.5 | +101 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | Willi Castro 10 games | COL vs COL@ARI | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 653 | MLB | William Contreras 10 games | MIL vs MIL@SDP | RBI | 0.5 | +178 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | H | 1.5 | +380 | 1 | -0.5 | 2/5 | -0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 655 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | RBI | 1.5 | +600 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 656 | MLB | Xavier Edwards 10 games | MIA vs PIT@MIA | RBI | 0.5 | +290 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Xavier Edwards 10 games | MIA vs PIT@MIA | TB | 1.5 | +150 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 658 | MLB | Yainer Diaz 10 games | HOU vs HOU@SFG | RBI | 0.5 | +186 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 659 | MLB | Yandy Diaz 10 games | TB vs TBR@Athlet | RBI | 0.5 | +138 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 660 | MLB | Zach McKinstry 10 games | DET vs CLE@DET | TB | 1.5 | +230 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 661 | MLB | Zach Neto 10 games | LAA vs TEX@LAA | TB | 1.5 | +116 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 662 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | H | 0.5 | -218 | 1.2 | +0.7 | 2/5 | -0.5 | 36 | F | 2.0 | WIN | LOSS | |
| 663 | MLB | Carter Jensen 10 games | KC vs KCR@LAD | H | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.1 | 36 | F | 0.0 | LOSS | WIN | |
| 664 | MLB | Drake Baldwin 10 games | ATL vs NYM@ATL | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 1.0 | WIN | LOSS | |
| 665 | MLB | Junior Caminero 10 games | TB vs TBR@Athlet | TB | 1.5 | -115 | 1.6 | +0.1 | 2/5 | -1.1 | 36 | F | 4.0 | WIN | LOSS | |
| 666 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | TB | 1.5 | +160 | 1.8 | +0.3 | 2/5 | -1.7 | 36 | F | 4.0 | WIN | LOSS | |
| 667 | MLB | Ben Rice 10 games | NYY vs SEA@NYY | TB | 1.5 | +121 | 1 | -0.5 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Braden Montgomery 10 games | CWS vs CIN@CHW | TB | 1.5 | +175 | 1.4 | -0.1 | 1/5 | +1.2 | 35 | F | 0.0 | LOSS | WIN | |
| 669 | MLB | Daulton Varsho 10 games | HOU vs HOU@SFG | TB | 1.5 | +155 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 670 | MLB | Everson Pereira 9 games | STL vs PHI@STL | TB | 1.5 | +260 | 1.2 | -0.3 | 1/5 | +1.3 | 35 | F | 4.0 | WIN | LOSS | |
| 671 | MLB | Griffin Conine 10 games | MIA vs PIT@MIA | RBI | 1.5 | +700 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 672 | MLB | Jake Mangum 10 games | PIT vs PIT@MIA | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 673 | MLB | Jakob Marsee 10 games | MIA vs PIT@MIA | R | 1.5 | +1500 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 674 | MLB | JJ Bleday 10 games | CIN vs CIN@CHW | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.3 | 35 | F | 0.0 | LOSS | WIN | |
| 675 | MLB | Kody Clemens 10 games | MIN vs BAL@MIN | TB | 1.5 | +115 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 676 | MLB | Luis Lara 10 games | MIL vs MIL@SDP | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +0.4 | 35 | F | 1.0 | WIN | LOSS | |
| 677 | MLB | Michael Conforto 10 games | CHC vs CHC@WSN | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | Mitch Bratt 6 games | AZ vs COL@ARI | K | 4.5 | +128 | 3.6 | -0.9 | 1/5 | +1.2 | 35 | F | 4.0 | LOSS | WIN | |
| 679 | MLB | Nick Loftin 10 games | KC vs KCR@LAD | H | 0.5 | -139 | 0.6 | +0.1 | 2/5 | +0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 680 | MLB | Nicky Lopez 10 games | TEX vs TEX@LAA | H | 0.5 | -145 | 0.6 | +0.1 | 2/5 | -0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 681 | MLB | Owen Caissie 10 games | MIA vs PIT@MIA | H | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 682 | MLB | Owen Caissie 10 games | MIA vs PIT@MIA | R | 1.5 | +2000 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 683 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | H | 1.5 | +200 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 3.0 | WIN | LOSS | |
| 684 | MLB | Tanner Bibee 10 games | CLE vs CLE@DET | K | 5.5 | +210 | 5.2 | -0.3 | 1/5 | +1.3 | 35 | F | 4.0 | LOSS | WIN | |
| 685 | MLB | Taylor Ward 10 games | SEA vs SEA@NYY | TB | 1.5 | +140 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs BOS@TOR | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 687 | MLB | Xavier Edwards 10 games | MIA vs PIT@MIA | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 688 | MLB | Yohel Pozo 4 games | BAL vs BAL@MIN | H | 0.5 | -143 | 0.5 | +0 | 2/4 | -0.2 | 35 | F | 1.0 | WIN | LOSS | |
| 689 | MLB | A.J. Ewing 10 games | NYM vs NYM@ATL | TB | 1.5 | +152 | 1.2 | -0.3 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 690 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | -0.5 | 34 | F | 2.0 | WIN | LOSS | |
| 691 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | TB | 1.5 | +145 | 1.2 | -0.3 | 2/5 | -0.8 | 34 | F | 2.0 | WIN | LOSS | |
| 692 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | H | 1.5 | +500 | 1 | -0.5 | 2/5 | -0.8 | 34 | F | 1.0 | LOSS | WIN | |
| 693 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | TB | 1.5 | +260 | 1.4 | -0.1 | 2/5 | -1.2 | 34 | F | 1.0 | LOSS | WIN | |
| 694 | MLB | Angel Genao 5 games | CLE vs CLE@DET | H | 1.5 | +340 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 695 | MLB | Austin Riley 10 games | ATL vs NYM@ATL | RBI | 0.5 | +230 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 696 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | TB | 1.5 | +195 | 1.4 | -0.1 | 2/5 | -1.4 | 34 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@TOR | RBI | 0.5 | +290 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 698 | MLB | Christian Koss 10 games | SF vs HOU@SFG | H | 0.5 | -119 | 0.4 | -0.1 | 2/5 | +0.2 | 34 | F | 1.0 | WIN | LOSS | |
| 699 | MLB | Dillon Dingler 10 games | DET vs CLE@DET | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | -1.1 | 34 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Dillon Dingler 10 games | DET vs CLE@DET | RBI | 1.5 | +475 | 1.4 | -0.1 | 2/5 | -0.5 | 34 | 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.