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 | CJ Abrams 10 games | WSH vs NYY@WSN | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 552 | MLB | Cole Young 10 games | SEA vs SEA@TBR | HR | 0.5 | +900 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 553 | MLB | Cole Young 10 games | SEA vs SEA@TBR | RBI | 0.5 | +265 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 554 | MLB | Colson Montgomery 10 games | CWS vs Athletics@ | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 555 | MLB | Colt Keith 10 games | DET vs PHI@DET | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 556 | MLB | Colt Keith 10 games | DET vs PHI@DET | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Curtis Mead 10 games | WSH vs NYY@WSN | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 558 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 559 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | TB | 1.5 | +195 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 560 | MLB | Dillon Dingler 10 games | DET vs PHI@DET | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 561 | MLB | Drake Baldwin 10 games | ATL vs ATL@STL | RBI | 0.5 | +182 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 562 | MLB | Drew Gilbert 10 games | SF vs COL@SFG | RBI | 0.5 | +231 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 563 | MLB | Dylan Beavers 8 games | BAL vs KCR@BAL | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +-0 | 37 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | Dylan Crews 10 games | WSH vs NYY@WSN | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 565 | MLB | Edwin Arroyo 10 games | CIN vs CHC@CIN | R | 0.5 | +195 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 566 | MLB | Edwin Arroyo 10 games | CIN vs CHC@CIN | TB | 1.5 | +200 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 567 | MLB | Elly De La Cruz 10 games | CIN vs CHC@CIN | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 568 | MLB | Enmanuel Valdez 10 games | PIT vs MIL@PIT | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 569 | MLB | Enmanuel Valdez 10 games | PIT vs MIL@PIT | HR | 0.5 | +360 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 570 | MLB | Esmerlyn Valdez 10 games | PIT vs MIL@PIT | H | 0.5 | -185 | 0.6 | +0.1 | 3/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 571 | MLB | Esmerlyn Valdez 10 games | PIT vs MIL@PIT | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 572 | MLB | Esteury Ruiz 10 games | MIA vs CLE@MIA | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 573 | MLB | Francisco Alvarez 10 games | NYM vs BOS@NYM | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 574 | MLB | Freddie Freeman 10 games | LAD vs ARI@LAD | H | 1.5 | +180 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 575 | MLB | Freddie Freeman 10 games | LAD vs ARI@LAD | TB | 1.5 | +100 | 1.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 576 | MLB | Gabriel Arias 10 games | CLE vs CLE@MIA | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Gavin Sheets 10 games | SD vs TOR@SDP | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 578 | MLB | Gunnar Henderson 10 games | BAL vs KCR@BAL | RBI | 0.5 | +143 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 579 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | RBI | 0.5 | +230 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 580 | MLB | Isaac Collins 10 games | KC vs KCR@BAL | RBI | 0.5 | +267 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 581 | MLB | J.P. Crawford 10 games | SEA vs SEA@TBR | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 582 | MLB | J.T. Realmuto 10 games | PHI vs PHI@DET | R | 0.5 | +195 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 583 | MLB | Jac Caglianone 10 games | KC vs KCR@BAL | RBI | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 584 | MLB | Jacob Young 10 games | WSH vs NYY@WSN | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 585 | MLB | Jake Bauers 10 games | MIL vs MIL@PIT | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | +-0 | 37 | F | 1.0 | WIN | LOSS | |
| 586 | MLB | Jake Bauers 10 games | MIL vs MIL@PIT | RBI | 0.5 | +202 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 587 | MLB | Jake Burger 10 games | TEX vs HOU@TEX | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 588 | MLB | Jakob Marsee 10 games | MIA vs CLE@MIA | TB | 1.5 | +220 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 589 | MLB | James Outman 10 games | DET vs PHI@DET | H | 0.5 | +133 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 590 | MLB | James Outman 10 games | DET vs PHI@DET | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 591 | MLB | Jared Triolo 10 games | PIT vs MIL@PIT | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 592 | MLB | Jarren Duran 10 games | BOS vs BOS@NYM | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Javier Sanoja 10 games | MIA vs CLE@MIA | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | -0.7 | 37 | F | 2.0 | WIN | LOSS | |
| 594 | MLB | Jo Adell 10 games | LAA vs LAA@MIN | R | 0.5 | +135 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 595 | MLB | Jonatan Clase 5 games | TOR vs TOR@SDP | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 596 | MLB | Jonathan Aranda 10 games | TB vs SEA@TBR | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 597 | MLB | Jorge Soler 10 games | LAA vs LAA@MIN | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 598 | MLB | Jose Altuve 10 games | HOU vs HOU@TEX | HR | 0.5 | +750 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 599 | MLB | Josh Naylor 10 games | SEA vs SEA@TBR | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 600 | MLB | Juan Soto 10 games | NYM vs BOS@NYM | HR | 0.5 | +375 | 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.