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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | MLB | Rafael Devers 10 games | SF vs COL@SFG | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 552 | MLB | Randy Arozarena 10 games | SEA vs SEA@TBR | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 553 | MLB | Randy Arozarena 10 games | SEA vs SEA@TBR | RBI | 0.5 | +225 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 554 | MLB | Richie Palacios 10 games | TB vs SEA@TBR | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 555 | MLB | Riley Greene 10 games | DET vs PHI@DET | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 556 | MLB | Romy Gonzalez 9 games | BOS vs BOS@NYM | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Royce Lewis 10 games | MIN vs LAA@MIN | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 558 | MLB | Ryan Jeffers 7 games | MIN vs LAA@MIN | H | 1.5 | +185 | 1 | -0.5 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 559 | MLB | Ryan Jeffers 7 games | MIN vs LAA@MIN | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 560 | MLB | Ryan Jeffers 7 games | MIN vs LAA@MIN | RBI | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 561 | MLB | Ryan McMahon 10 games | NYY vs NYY@WSN | RBI | 0.5 | +182 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 562 | MLB | Sal Frelick 10 games | MIL vs MIL@PIT | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 563 | MLB | Sal Stewart 10 games | CIN vs CHC@CIN | HR | 0.5 | +350 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | Salvador Perez 10 games | KC vs KCR@BAL | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 565 | MLB | Samuel Basallo 10 games | BAL vs KCR@BAL | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 566 | MLB | Samuel Basallo 10 games | BAL vs KCR@BAL | RBI | 0.5 | +202 | 0.4 | -0.1 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 567 | MLB | Shea Langeliers 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +132 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 568 | MLB | Shohei Ohtani 9 games | LAD vs ARI@LAD | H | 1.5 | +190 | 1.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 569 | MLB | Spencer Steer 10 games | CIN vs CHC@CIN | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 570 | MLB | Spencer Steer 10 games | CIN vs CHC@CIN | RBI | 0.5 | +190 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 571 | MLB | Sung-Mun Song 10 games | SD vs TOR@SDP | RBI | 0.5 | +316 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 572 | MLB | Taylor Walls 10 games | TB vs SEA@TBR | RBI | 0.5 | +313 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 573 | MLB | Taylor Ward 10 games | BAL vs KCR@BAL | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 574 | MLB | Tommy Troy 10 games | AZ vs ARI@LAD | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 575 | MLB | Tommy Troy 10 games | AZ vs ARI@LAD | RBI | 0.5 | +354 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 576 | MLB | Travis Bazzana 10 games | CLE vs CLE@MIA | RBI | 0.5 | +237 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Trea Turner 10 games | PHI vs PHI@DET | RBI | 0.5 | +218 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 578 | MLB | Trent Grisham 10 games | NYY vs NYY@WSN | H | 1.5 | +190 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 2.0 | WIN | LOSS | |
| 579 | MLB | Trent Grisham 10 games | NYY vs NYY@WSN | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 580 | MLB | Trevor Larnach 10 games | MIN vs LAA@MIN | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 581 | MLB | Trevor Larnach 10 games | MIN vs LAA@MIN | RBI | 0.5 | +202 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 582 | MLB | Tristan Gray 10 games | MIN vs LAA@MIN | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 583 | MLB | Tristan Gray 10 games | MIN vs LAA@MIN | RBI | 0.5 | +210 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 584 | MLB | Troy Johnston 10 games | COL vs COL@SFG | RBI | 0.5 | +255 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 585 | MLB | Tsung-Che Cheng 8 games | BOS vs BOS@NYM | RBI | 0.5 | +300 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 586 | MLB | Tyler Soderstrom 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 587 | MLB | Tyler Soderstrom 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +158 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 588 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@SDP | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 589 | MLB | William Contreras 10 games | MIL vs MIL@PIT | RBI | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 590 | MLB | Willy Adames 10 games | SF vs COL@SFG | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 591 | MLB | Willy Adames 10 games | SF vs COL@SFG | RBI | 0.5 | +165 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 592 | MLB | Wilyer Abreu 10 games | BOS vs BOS@NYM | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Xander Bogaerts 10 games | SD vs TOR@SDP | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 594 | MLB | Xavier Edwards 10 games | MIA vs CLE@MIA | RBI | 0.5 | +205 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 595 | MLB | Yandy Diaz 10 games | TB vs SEA@TBR | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 596 | MLB | Yandy Diaz 10 games | TB vs SEA@TBR | RBI | 0.5 | +220 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 597 | MLB | Yordan Alvarez 10 games | HOU vs HOU@TEX | HR | 0.5 | +250 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 598 | MLB | Zach McKinstry 10 games | DET vs PHI@DET | HR | 0.5 | +1750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 599 | MLB | Zach Neto 10 games | LAA vs LAA@MIN | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 600 | MLB | Taylor Trammell 10 games | HOU vs HOU@TEX | H | 0.5 | -105 | 0.2 | -0.3 | 1/5 | +0 | 31 | 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.