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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 351 | MLB | Brayan Rocchio 10 games | CLE vs CHW@CLE | RBI | 1.5 | +900 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 352 | MLB | Brett Bateman 10 games | TOR vs DET@TOR | HR | 0.5 | +1400 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Brett Baty 10 games | NYM vs BAL@NYM | HR | 0.5 | +700 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Carson Kelly 10 games | CHC vs ATL@CHC | RBI | 1.5 | +600 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 355 | MLB | Chase Meidroth 10 games | CWS vs CHW@CLE | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 356 | MLB | Christian Koss 10 games | SF vs SFG@STL | RBI | 0.5 | +275 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 357 | MLB | Christian Moore 10 games | LAA vs SEA@LAA | H | 1.5 | +360 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | Coby Mayo 10 games | BAL vs BAL@NYM | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 359 | MLB | Coby Mayo 10 games | BAL vs BAL@NYM | RBI | 0.5 | +206 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 360 | MLB | Colton Cowser 10 games | BAL vs BAL@NYM | H | 0.5 | +106 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 361 | MLB | Denzer Guzman 10 games | LAA vs SEA@LAA | RBI | 0.5 | +253 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 362 | MLB | Dominic Canzone 10 games | SEA vs SEA@LAA | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 363 | MLB | Dylan Beavers 10 games | BAL vs BAL@NYM | RBI | 1.5 | +800 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 364 | MLB | Elly De La Cruz 10 games | CIN vs LAD@CIN | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 365 | MLB | Gabriel Moreno 10 games | AZ vs MIA@ARI | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 366 | MLB | George Lombard Jr. 10 games | NYY vs NYY@MIN | RBI | 0.5 | +269 | 0.8 | +0.3 | 1/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 367 | MLB | Graham Pauley 10 games | MIA vs MIA@ARI | HR | 0.5 | +1100 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 368 | MLB | Griffin Conine 10 games | MIA vs MIA@ARI | H | 1.5 | +340 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 369 | MLB | Hunter Goodman 10 games | COL vs SDP@COL | HR | 0.5 | +275 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 370 | MLB | Hunter Goodman 10 games | COL vs SDP@COL | RBI | 1.5 | +360 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 371 | MLB | Jackson Holliday 10 games | BAL vs BAL@NYM | RBI | 0.5 | +292 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 372 | MLB | Jake McCarthy 10 games | COL vs SDP@COL | H | 1.5 | +191 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 373 | MLB | Jared Young 10 games | NYM vs BAL@NYM | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 374 | MLB | Jared Young 10 games | NYM vs BAL@NYM | RBI | 0.5 | +227 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Javier Sanoja 10 games | MIA vs MIA@ARI | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 376 | MLB | Josh Bell 10 games | MIN vs NYY@MIN | RBI | 0.5 | +206 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 377 | MLB | Josh Smith 10 games | TOR vs DET@TOR | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 378 | MLB | Josh Smith 10 games | TOR vs DET@TOR | RBI | 0.5 | +277 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 379 | MLB | Juan Soto 10 games | NYM vs BAL@NYM | H | 1.5 | +280 | 1 | -0.5 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 380 | MLB | Juan Soto 10 games | NYM vs BAL@NYM | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 381 | MLB | Kaelen Culpepper 10 games | MIN vs NYY@MIN | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | -0.5 | 37 | F | — | PENDING | PENDING | |
| 382 | MLB | Kazuma Okamoto 10 games | TOR vs DET@TOR | H | 1.5 | +380 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 383 | MLB | Kevin McGonigle 10 games | DET vs DET@TOR | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 2.0 | WIN | LOSS | |
| 384 | MLB | Kevin McGonigle 10 games | DET vs DET@TOR | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 385 | MLB | Kevin McGonigle 10 games | DET vs DET@TOR | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 386 | MLB | Kody Clemens 10 games | MIN vs NYY@MIN | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Kyle Tucker 10 games | LAD vs LAD@CIN | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 388 | MLB | Kyle Tucker 10 games | LAD vs LAD@CIN | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 389 | MLB | Lars Nootbaar 10 games | AZ vs MIA@ARI | H | 1.5 | +240 | 0.8 | -0.7 | 2/5 | +-0 | 37 | F | 3.0 | WIN | LOSS | |
| 390 | MLB | Leonardo Bernal 10 games | vs SFG@STL | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 391 | MLB | Leonardo Bernal 10 games | vs SFG@STL | RBI | 1.5 | +600 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 392 | MLB | Luis Campusano 10 games | SD vs SDP@COL | RBI | 0.5 | +124 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | Manny Machado 10 games | SD vs SDP@COL | RBI | 1.5 | +300 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 394 | MLB | Marcus Semien 10 games | NYM vs BAL@NYM | RBI | 0.5 | +236 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Matt Olson 10 games | ATL vs ATL@CHC | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 396 | MLB | Max Clark 10 games | DET vs DET@TOR | RBI | 0.5 | +266 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 397 | MLB | Mickey Moniak 10 games | COL vs SDP@COL | RBI | 0.5 | +164 | 0.8 | +0.3 | 1/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 398 | MLB | Mookie Betts 10 games | LAD vs LAD@CIN | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 399 | MLB | Mookie Betts 10 games | LAD vs LAD@CIN | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Munetaka Murakami 10 games | CWS vs CHW@CLE | H | 0.5 | +105 | 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.