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 | Rafael Devers 10 games | SF vs COL@SFG | H | 0.5 | -200 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 3.0 | WIN | LOSS | |
| 352 | MLB | Royce Lewis 10 games | MIN vs LAA@MIN | H | 0.5 | -180 | 1 | +0.5 | 3/5 | -0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 353 | MLB | Shohei Ohtani 10 games | LAD vs ARI@LAD | H | 0.5 | -241 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 354 | MLB | Trea Turner 10 games | PHI vs PHI@DET | H | 0.5 | -250 | 1 | +0.5 | 3/5 | +0 | 46 | F | 0.0 | LOSS | WIN | |
| 355 | MLB | Trent Grisham 10 games | NYY vs NYY@WSN | R | 0.5 | -120 | 0.8 | +0.3 | 3/5 | +0 | 46 | F | 0.0 | LOSS | WIN | |
| 356 | MLB | Willi Castro 10 games | COL vs COL@SFG | H | 0.5 | -165 | 0.8 | +0.3 | 4/5 | +0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 357 | MLB | Zach Neto 10 games | LAA vs LAA@MIN | H | 0.5 | -214 | 1.4 | +0.9 | 3/5 | +0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 358 | MLB | Ben Rice 10 games | NYY vs NYY@WSN | H | 1.5 | +180 | 1.6 | +0.1 | 2/5 | +0.9 | 45 | F | 1.0 | LOSS | WIN | |
| 359 | MLB | Brett Baty 10 games | NYM vs BOS@NYM | RBI | 0.5 | +275 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 360 | MLB | Brice Matthews 10 games | HOU vs HOU@TEX | RBI | 0.5 | +273 | 0.8 | +0.3 | 2/5 | +0.9 | 45 | F | 0.0 | LOSS | WIN | |
| 361 | MLB | Carson Kelly 10 games | CHC vs CHC@CIN | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | CJ Abrams 10 games | WSH vs NYY@WSN | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | R | 0.5 | +130 | 1 | +0.5 | 2/5 | -0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 364 | MLB | Jake Mangum 10 games | PIT vs MIL@PIT | RBI | 0.5 | +269 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | — | PENDING | PENDING | |
| 365 | MLB | Jake Rogers 10 games | DET vs PHI@DET | RBI | 0.5 | +250 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Jakob Marsee 10 games | MIA vs CLE@MIA | RBI | 0.5 | +281 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 367 | MLB | Jared Young 10 games | NYM vs BOS@NYM | TB | 1.5 | +185 | 1.6 | +0.1 | 2/5 | +1 | 45 | F | 3.0 | WIN | LOSS | |
| 368 | MLB | Joey Ortiz 10 games | MIL vs MIL@PIT | TB | 1.5 | +210 | 1.6 | +0.1 | 2/5 | +1.1 | 45 | F | — | PENDING | PENDING | |
| 369 | MLB | Jose Altuve 10 games | HOU vs HOU@TEX | RBI | 0.5 | +220 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 370 | MLB | Justin Crawford 10 games | PHI vs PHI@DET | TB | 1.5 | +180 | 1.6 | +0.1 | 2/5 | +0.7 | 45 | F | 3.0 | WIN | LOSS | |
| 371 | MLB | Kyle Schwarber 10 games | PHI vs PHI@DET | RBI | 0.5 | +135 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 372 | MLB | Luis Campusano 6 games | SD vs TOR@SDP | TB | 1.5 | +200 | 1.6 | +0.1 | 2/5 | +1 | 45 | F | 1.0 | LOSS | WIN | |
| 373 | MLB | Michael Harris II 10 games | ATL vs ATL@STL | RBI | 0.5 | +174 | 1 | +0.5 | 2/5 | -1 | 45 | F | 0.0 | LOSS | WIN | |
| 374 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@STL | TB | 1.5 | +195 | 1.6 | +0.1 | 2/5 | +0.8 | 45 | F | 2.0 | WIN | LOSS | |
| 375 | MLB | Nolan Schanuel 10 games | LAA vs LAA@MIN | TB | 1.5 | +125 | 1.8 | +0.3 | 2/5 | +0.9 | 45 | F | 1.0 | LOSS | WIN | |
| 376 | MLB | Patrick Bailey 10 games | CLE vs CLE@MIA | TB | 1.5 | +225 | 1.6 | +0.1 | 2/5 | +0.8 | 45 | F | — | PENDING | PENDING | |
| 377 | MLB | Rafael Devers 10 games | SF vs COL@SFG | TB | 1.5 | +115 | 2.4 | +0.9 | 2/5 | -1.1 | 45 | F | 6.0 | WIN | LOSS | |
| 378 | MLB | Xavier Edwards 10 games | MIA vs CLE@MIA | TB | 1.5 | +160 | 1.8 | +0.3 | 2/5 | +0.5 | 45 | F | 1.0 | LOSS | WIN | |
| 379 | MLB | Yainer Diaz 10 games | HOU vs HOU@TEX | RBI | 0.5 | +207 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 2.0 | WIN | LOSS | |
| 380 | MLB | Yandy Diaz 10 games | TB vs SEA@TBR | RBI | 0.5 | +220 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 2.0 | WIN | LOSS | |
| 381 | MLB | Gunnar Henderson 10 games | BAL vs KCR@BAL | R | 0.5 | -125 | 0.6 | +0.1 | 3/5 | -0.1 | 44 | F | 0.0 | LOSS | WIN | |
| 382 | MLB | Ian Happ 10 games | CHC vs CHC@CIN | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0.4 | 44 | F | 1.0 | WIN | LOSS | |
| 383 | MLB | Jake Bauers 10 games | MIL vs MIL@PIT | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | -0.3 | 44 | F | — | PENDING | PENDING | |
| 384 | MLB | Joey Ortiz 10 games | MIL vs MIL@PIT | H | 0.5 | -132 | 0.8 | +0.3 | 3/5 | +0.2 | 44 | F | — | PENDING | PENDING | |
| 385 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | H | 0.5 | -128 | 0.6 | +0.1 | 3/5 | -0.3 | 44 | F | 1.0 | WIN | LOSS | |
| 386 | MLB | Max Kepler 10 games | AZ vs ARI@LAD | H | 0.5 | -125 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | — | PENDING | PENDING | |
| 387 | MLB | Patrick Bailey 10 games | CLE vs CLE@MIA | H | 0.5 | -125 | 0.8 | +0.3 | 3/5 | +0.2 | 44 | F | — | PENDING | PENDING | |
| 388 | MLB | Trent Grisham 10 games | NYY vs NYY@WSN | TB | 1.5 | +110 | 1.4 | -0.1 | 3/5 | -0.1 | 44 | F | 1.0 | LOSS | WIN | |
| 389 | MLB | Bryson Stott 10 games | PHI vs PHI@DET | H | 0.5 | -180 | 1 | +0.5 | 3/5 | -0.9 | 43 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Cody Bellinger 10 games | NYY vs NYY@WSN | H | 0.5 | -250 | 0.8 | +0.3 | 3/5 | +0.5 | 43 | F | 2.0 | WIN | LOSS | |
| 391 | MLB | Hunter Goodman 10 games | COL vs COL@SFG | H | 0.5 | -165 | 1 | +0.5 | 3/5 | -0.7 | 43 | F | 1.0 | WIN | LOSS | |
| 392 | MLB | JJ Wetherholt 10 games | STL vs ATL@STL | H | 0.5 | -190 | 1.4 | +0.9 | 3/5 | -0.5 | 43 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@SDP | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | +0.6 | 43 | F | 1.0 | WIN | LOSS | |
| 394 | MLB | Nick Gonzales 10 games | PIT vs MIL@PIT | H | 0.5 | -220 | 1.4 | +0.9 | 3/5 | -0.8 | 43 | F | — | PENDING | PENDING | |
| 395 | MLB | Riley Greene 10 games | DET vs PHI@DET | H | 0.5 | -230 | 1.4 | +0.9 | 3/5 | -0.5 | 43 | F | 1.0 | WIN | LOSS | |
| 396 | MLB | Tristan Peters 10 games | CWS vs Athletics@ | H | 0.5 | -160 | 1 | +0.5 | 3/5 | -0.8 | 43 | F | 4.0 | WIN | LOSS | |
| 397 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | RBI | 0.5 | +165 | 0.8 | +0.3 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 398 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | TB | 1.5 | +120 | 1.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | LOSS | WIN | |
| 399 | MLB | Anthony Seigler 10 games | BOS vs BOS@NYM | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | -0.5 | 42 | F | 2.0 | WIN | LOSS | |
| 400 | MLB | Bo Bichette 10 games | NYM vs BOS@NYM | RBI | 0.5 | +174 | 0.8 | +0.3 | 2/5 | -0.2 | 42 | F | — | PENDING | PENDING |
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.