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 | Kyle Karros 10 games | COL vs COL@STL | TB | 1.5 | +129 | 1.4 | -0.1 | 3/5 | -0.8 | 41 | F | 0.0 | LOSS | WIN | |
| 452 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@NYY | H | 0.5 | -105 | 0.6 | +0.1 | 2/5 | -0.5 | 41 | F | 1.0 | WIN | LOSS | |
| 453 | MLB | Taylor Walls 10 games | TB vs TBR@SEA | H | 0.5 | -105 | 0.6 | +0.1 | 2/5 | +0 | 41 | F | 0.0 | LOSS | WIN | |
| 454 | MLB | Travis d'Arnaud 4 games | LAA vs LAA@MIA | H | 0.5 | -102 | 0.5 | +0 | 2/4 | +0.2 | 41 | F | — | PENDING | PENDING | |
| 455 | MLB | Willson Contreras 10 games | BOS vs Athletics@ | TB | 1.5 | -105 | 1.6 | +0.1 | 2/5 | +0.1 | 41 | F | 1.0 | LOSS | WIN | |
| 456 | MLB | Zach McKinstry 10 games | DET vs DET@SFG | H | 1.5 | +360 | 1.4 | -0.1 | 3/5 | -0.5 | 41 | F | 1.0 | LOSS | WIN | |
| 457 | MLB | Alec Burleson 10 games | STL vs COL@STL | RBI | 0.5 | +169 | 1.2 | +0.7 | 1/5 | -0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 458 | MLB | Brandon Marsh 10 games | PHI vs TOR@PHI | H | 0.5 | -236 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 459 | MLB | Brice Turang 10 games | MIL vs MIN@MIL | H | 0.5 | -196 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 3.0 | WIN | LOSS | |
| 460 | MLB | Bubba Chandler 9 games | PIT vs NYM@PIT | K | 3.5 | -300 | 3.8 | +0.3 | 3/5 | +0.3 | 40 | F | 5.0 | WIN | LOSS | |
| 461 | MLB | Carson Benge 10 games | NYM vs NYM@PIT | H | 1.5 | +300 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | — | PENDING | PENDING | |
| 462 | MLB | Carson Benge 10 games | NYM vs NYM@PIT | R | 1.5 | +1000 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | — | PENDING | PENDING | |
| 463 | MLB | Chase Meidroth 10 games | CWS vs CLE@CHW | RBI | 0.5 | +309 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 464 | MLB | Chris Sale 8 games | ATL vs ATL@NYY | K | 8.5 | +140 | 6.8 | -1.7 | 2/5 | +1.5 | 40 | F | 8.0 | LOSS | WIN | |
| 465 | MLB | CJ Abrams 10 games | WSH vs CIN@WSN | H | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 466 | MLB | Dane Myers 10 games | CIN vs CIN@WSN | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 467 | MLB | Dillon Dingler 10 games | DET vs DET@SFG | RBI | 1.5 | +550 | 1.4 | -0.1 | 2/5 | +0.9 | 40 | F | 1.0 | LOSS | WIN | |
| 468 | MLB | Dominic Canzone 10 games | SEA vs TBR@SEA | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 469 | MLB | Drake Baldwin 10 games | ATL vs ATL@NYY | H | 1.5 | +240 | 1 | -0.5 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 470 | MLB | Drake Baldwin 10 games | ATL vs ATL@NYY | TB | 1.5 | +130 | 1 | -0.5 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 471 | MLB | Ernie Clement 10 games | TOR vs TOR@PHI | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | +1 | 40 | F | 2.0 | WIN | LOSS | |
| 472 | MLB | Francisco Lindor 10 games | NYM vs NYM@PIT | H | 0.5 | -207 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 473 | MLB | Hunter Goodman 10 games | COL vs COL@STL | TB | 1.5 | +130 | 2.2 | +0.7 | 1/5 | -1 | 40 | F | 1.0 | LOSS | WIN | |
| 474 | MLB | Isaac Collins 10 games | KC vs CHC@KCR | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 475 | MLB | Ivan Herrera 10 games | STL vs COL@STL | H | 0.5 | -300 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 3.0 | WIN | LOSS | |
| 476 | MLB | Ivan Herrera 10 games | STL vs COL@STL | TB | 1.5 | +106 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 5.0 | WIN | LOSS | |
| 477 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | H | 0.5 | -253 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 478 | MLB | Jacob Young 10 games | WSH vs CIN@WSN | H | 1.5 | +550 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 479 | MLB | Jake Burger 10 games | TEX vs BAL@TEX | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 480 | MLB | JJ Bleday 10 games | CIN vs CIN@WSN | H | 0.5 | -185 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 481 | MLB | Joc Pederson 10 games | TEX vs BAL@TEX | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 482 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 483 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@PHI | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | Keibert Ruiz 10 games | WSH vs CIN@WSN | H | 1.5 | +320 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 1.0 | LOSS | WIN | |
| 485 | MLB | Keibert Ruiz 10 games | WSH vs CIN@WSN | TB | 1.5 | +175 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 2.0 | WIN | LOSS | |
| 486 | MLB | Kyle Schwarber 10 games | PHI vs TOR@PHI | TB | 1.5 | +100 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 487 | MLB | Leody Taveras 10 games | BAL vs BAL@TEX | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Marcus Semien 10 games | NYM vs NYM@PIT | RBI | 1.5 | +800 | 1 | -0.5 | 2/5 | +1 | 40 | F | 0.0 | LOSS | WIN | |
| 489 | MLB | Matthew Liberatore 9 games | STL vs COL@STL | K | 6.5 | +225 | 5.6 | -0.9 | 2/5 | +1.2 | 40 | F | 3.0 | LOSS | WIN | |
| 490 | MLB | Max Muncy 10 games | ATH vs LAD@ARI | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 491 | MLB | Michael Harris II 10 games | ATL vs ATL@NYY | H | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 492 | MLB | Michael Massey 10 games | KC vs CHC@KCR | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 493 | MLB | Mike Trout 10 games | LAA vs LAA@MIA | H | 0.5 | -185 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 494 | MLB | Nick Gonzales 10 games | PIT vs NYM@PIT | H | 1.5 | +230 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 495 | MLB | Nick Gonzales 10 games | PIT vs NYM@PIT | TB | 1.5 | +155 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 2.0 | WIN | LOSS | |
| 496 | MLB | Nick Sogard 8 games | BOS vs Athletics@ | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 3.0 | WIN | LOSS | |
| 497 | MLB | Noelvi Marte 10 games | CIN vs CIN@WSN | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 498 | MLB | Nolan Schanuel 10 games | LAA vs LAA@MIA | H | 0.5 | -229 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 499 | MLB | Otto Lopez 10 games | MIA vs LAA@MIA | H | 0.5 | -295 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 500 | MLB | Pete Alonso 10 games | BAL vs BAL@TEX | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS |
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.