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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | H | 0.5 | -175 | 1 | +0.5 | 2/5 | +0.9 | 42 | F | 1.0 | WIN | LOSS | |
| 452 | MLB | Tyler O'Neill 10 games | BAL vs BAL@BOS | RBI | 0.5 | +195 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | — | PENDING | PENDING | |
| 453 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | R | 0.5 | +105 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 454 | MLB | Tyler Tolbert 9 games | KC vs SFG@KCR | RBI | 0.5 | +210 | 0.8 | +0.3 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | Wilyer Abreu 10 games | BOS vs BAL@BOS | HR | 0.5 | +450 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | — | PENDING | PENDING | |
| 456 | MLB | Wyatt Langford 10 games | TEX vs CHW@TEX | RBI | 0.5 | +195 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 457 | MLB | Yordan Alvarez 10 games | HOU vs MIA@HOU | H | 1.5 | +201 | 1.6 | +0.1 | 2/5 | +0.3 | 42 | F | 2.0 | WIN | LOSS | |
| 458 | MLB | A.J. Ewing 10 games | NYM vs NYM@MIL | TB | 1.5 | +140 | 1.4 | -0.1 | 3/5 | -1.3 | 41 | F | 1.0 | LOSS | WIN | |
| 459 | MLB | Jared Young 10 games | NYM vs NYM@MIL | H | 0.5 | -123 | 0.8 | +0.3 | 3/5 | -0.7 | 41 | F | 2.0 | WIN | LOSS | |
| 460 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | R | 0.5 | -105 | 0.6 | +0.1 | 2/5 | -0.2 | 41 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TEX | R | 0.5 | -110 | 0.6 | +0.1 | 2/5 | +0.1 | 41 | F | 0.0 | LOSS | WIN | |
| 462 | MLB | Adrian Del Castillo 10 games | AZ vs Athletics@ | RBI | 0.5 | +235 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | — | PENDING | PENDING | |
| 463 | MLB | Alec Burleson 10 games | STL vs STL@LAA | H | 1.5 | +183 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 3.0 | WIN | LOSS | |
| 464 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TEX | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 465 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | TB | 1.5 | +146 | 1 | -0.5 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 466 | MLB | Bryce Harper 10 games | PHI vs LAD@PHI | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 467 | MLB | Bryce Harper 10 games | PHI vs LAD@PHI | TB | 1.5 | +134 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 468 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | H | 0.5 | -230 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 469 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | — | PENDING | PENDING | |
| 470 | MLB | Cameron Cauley 10 games | TEX vs CHW@TEX | TB | 1.5 | +195 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 471 | MLB | Chandler Simpson 10 games | TB vs TBR@TOR | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | 4.0 | WIN | LOSS | |
| 472 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | TB | 1.5 | +110 | 1.2 | -0.3 | 2/5 | +1.3 | 40 | F | 1.0 | LOSS | WIN | |
| 473 | MLB | Dane Myers 10 games | CIN vs CIN@SEA | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 474 | MLB | Daniel Schneemann 10 games | CLE vs MIN@CLE | H | 0.5 | -169 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | — | PENDING | PENDING | |
| 475 | MLB | Dillon Dingler 10 games | DET vs DET@CHC | RBI | 0.5 | +175 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 476 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 477 | MLB | Drew Gilbert 10 games | SF vs SFG@KCR | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 478 | MLB | Dylan Crews 10 games | WSH vs WSN@COL | TB | 1.5 | +104 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | — | PENDING | PENDING | |
| 479 | MLB | Edmundo Sosa 10 games | PHI vs LAD@PHI | H | 0.5 | -195 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 480 | MLB | Edwin Arroyo 10 games | CIN vs CIN@SEA | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 481 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | — | PENDING | PENDING | |
| 482 | MLB | Geraldo Perdomo 10 games | AZ vs Athletics@ | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 483 | MLB | Hunter Goodman 10 games | COL vs WSN@COL | HR | 0.5 | +190 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 1.0 | WIN | LOSS | |
| 484 | MLB | Jackson Merrill 10 games | SD vs SDP@ATL | RBI | 0.5 | +170 | 0.8 | +0.3 | 1/5 | +0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 485 | MLB | Jake Burger 10 games | TEX vs CHW@TEX | TB | 1.5 | +137 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 2.0 | WIN | LOSS | |
| 486 | MLB | Jake McCarthy 10 games | COL vs WSN@COL | H | 1.5 | +117 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 487 | MLB | Jake Rogers 10 games | DET vs DET@CHC | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@BOS | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | — | PENDING | PENDING | |
| 489 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | H | 0.5 | -219 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | H | 1.5 | +195 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 491 | MLB | Lars Nootbaar 10 games | STL vs STL@LAA | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Masyn Winn 10 games | STL vs STL@LAA | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 493 | MLB | Matthew Liberatore 9 games | STL vs STL@LAA | K | 5.5 | +132 | 4.6 | -0.9 | 2/5 | +1 | 40 | F | 7.0 | WIN | LOSS | |
| 494 | MLB | Max Muncy 10 games | LAD vs LAD@PHI | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +1 | 40 | F | 4.0 | WIN | LOSS | |
| 495 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TEX | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 496 | MLB | Otto Lopez 10 games | MIA vs MIA@HOU | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | — | PENDING | PENDING | |
| 498 | MLB | Petey Halpin 10 games | CLE vs MIN@CLE | RBI | 0.5 | +241 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 1.0 | WIN | LOSS | |
| 499 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | H | 0.5 | -185 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 500 | MLB | Rhys Hoskins 10 games | CLE vs MIN@CLE | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | 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.