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 | Alec Bohm 10 games | PHI vs PHI@CIN | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 352 | MLB | Alec Burleson 10 games | STL vs MIL@STL | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Andruw Monasterio 10 games | BOS vs BOS@CHW | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Andruw Monasterio 10 games | BOS vs BOS@CHW | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 355 | MLB | Austin Riley 10 games | ATL vs ATL@PIT | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 356 | MLB | Austin Riley 10 games | ATL vs ATL@PIT | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 357 | MLB | Austin Wells 10 games | NYY vs NYY@TBR | H | 0.5 | +110 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 358 | MLB | Blaze Alexander 10 games | BAL vs CHC@BAL | RBI | 0.5 | +220 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 359 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@NYM | RBI | 0.5 | +145 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 360 | MLB | Brandon Lowe 10 games | PIT vs ATL@PIT | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 361 | MLB | Brandon Nimmo 10 games | TEX vs LAA@TEX | RBI | 0.5 | +203 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 362 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIN | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Bryan Reynolds 10 games | PIT vs ATL@PIT | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 364 | MLB | Bryan Torres 9 games | STL vs MIL@STL | RBI | 0.5 | +326 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 365 | MLB | Bryce Eldridge 10 games | SF vs COL@SFG | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 366 | MLB | Bryce Eldridge 10 games | SF vs COL@SFG | RBI | 0.5 | +200 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 367 | MLB | Bryson Stott 10 games | PHI vs PHI@CIN | RBI | 0.5 | +175 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 368 | MLB | Cal Raleigh 10 games | SEA vs SEA@MIA | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 369 | MLB | Caleb Durbin 10 games | BOS vs BOS@CHW | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 370 | MLB | Caleb Durbin 10 games | BOS vs BOS@CHW | RBI | 0.5 | +211 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 371 | MLB | Carlos Narvaez 10 games | BOS vs BOS@CHW | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 372 | MLB | Carson Benge 10 games | NYM vs KCR@NYM | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 373 | MLB | Carson Kelly 10 games | CHC vs CHC@BAL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 374 | MLB | Carter Jensen 10 games | KC vs KCR@NYM | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Casey Schmitt 10 games | SF vs COL@SFG | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 376 | MLB | Casey Schmitt 10 games | SF vs COL@SFG | RBI | 0.5 | +164 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 377 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@CHW | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 378 | MLB | Chase DeLauter 10 games | CLE vs CLE@MIN | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 379 | MLB | Christian Yelich 10 games | MIL vs MIL@STL | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 380 | MLB | Coby Mayo 10 games | BAL vs CHC@BAL | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 381 | MLB | Cody Bellinger 10 games | NYY vs NYY@TBR | RBI | 0.5 | +215 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 382 | MLB | Colby Thomas 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 383 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 384 | MLB | Cole Young 10 games | SEA vs SEA@MIA | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 385 | MLB | Cole Young 10 games | SEA vs SEA@MIA | RBI | 0.5 | +222 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 386 | MLB | Corbin Carroll 10 games | AZ vs ARI@SDP | RBI | 0.5 | +158 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIN | RBI | 0.5 | +222 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 388 | MLB | Dillon Dingler 10 games | DET vs ATHLETICS@ | RBI | 0.5 | +181 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 389 | MLB | Dominic Canzone 10 games | SEA vs SEA@MIA | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 390 | MLB | Dominic Smith 10 games | ATL vs ATL@PIT | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 391 | MLB | Drake Baldwin 10 games | ATL vs ATL@PIT | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 392 | MLB | Drake Baldwin 10 games | ATL vs ATL@PIT | RBI | 1.5 | +450 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 393 | MLB | Drew Cavanaugh 9 games | SF vs COL@SFG | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 394 | MLB | Elly De La Cruz 10 games | CIN vs PHI@CIN | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Eugenio Suarez 10 games | CIN vs PHI@CIN | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 396 | MLB | Ezequiel Duran 10 games | TEX vs LAA@TEX | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 397 | MLB | Ezequiel Tovar 10 games | COL vs COL@SFG | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 398 | MLB | Ezequiel Tovar 10 games | COL vs COL@SFG | RBI | 0.5 | +244 | 0.4 | -0.1 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 399 | MLB | Francisco Lindor 10 games | NYM vs KCR@NYM | RBI | 0.5 | +144 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Gabriel Rincones Jr. 10 games | PHI vs PHI@CIN | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | 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.