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 | Ceddanne Rafaela 10 games | BOS vs BOS@TOR | H | 1.5 | +300 | 1.4 | -0.1 | 3/5 | -0.5 | 44 | F | 1.0 | LOSS | WIN | |
| 352 | MLB | Ernie Clement 10 games | TOR vs BOS@TOR | TB | 1.5 | +147 | 1.2 | -0.3 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | R | 0.5 | -135 | 0.6 | +0.1 | 3/5 | -0.3 | 44 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Luis Torrens 9 games | NYM vs NYM@ATL | H | 0.5 | -139 | 1 | +0.5 | 2/5 | +0.8 | 44 | F | — | PENDING | PENDING | |
| 355 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | H | 1.5 | +340 | 1.2 | -0.3 | 3/5 | +0.2 | 44 | F | 1.0 | LOSS | WIN | |
| 356 | MLB | Nathaniel Lowe 10 games | CLE vs CLE@DET | H | 1.5 | +300 | 1.4 | -0.1 | 3/5 | +0.2 | 44 | F | 1.0 | LOSS | WIN | |
| 357 | MLB | Willson Contreras 10 games | BOS vs BOS@TOR | H | 0.5 | -126 | 0.8 | +0.3 | 3/5 | -0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | Zach McKinstry 10 games | DET vs CLE@DET | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 359 | MLB | Angel Genao 5 games | CLE vs CLE@DET | H | 0.5 | -165 | 1.4 | +0.9 | 3/5 | -0.7 | 43 | F | 0.0 | LOSS | WIN | |
| 360 | MLB | Bryce Harper 10 games | PHI vs PHI@STL | H | 0.5 | -240 | 1 | +0.5 | 3/5 | -0.6 | 43 | F | 0.0 | LOSS | WIN | |
| 361 | MLB | Dillon Dingler 10 games | DET vs CLE@DET | H | 0.5 | -235 | 1.2 | +0.7 | 3/5 | -1.1 | 43 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Mason Barnett 10 games | ATH vs TBR@Athlet | K | 3.5 | +120 | 3 | -0.5 | 2/5 | +2.9 | 43 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Alec Burleson 10 games | STL vs PHI@STL | RBI | 0.5 | +215 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 364 | MLB | Austin Riley 10 games | ATL vs NYM@ATL | H | 0.5 | -139 | 0.6 | +0.1 | 3/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 365 | MLB | Blaze Jordan 10 games | STL vs PHI@STL | TB | 1.5 | +165 | 1.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Brady House 10 games | WSH vs CHC@WSN | R | 0.5 | +157 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 2.0 | WIN | LOSS | |
| 367 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | R | 0.5 | +126 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 368 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | TB | 1.5 | +155 | 1.8 | +0.3 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 369 | MLB | Brett Bateman 4 games | TOR vs BOS@TOR | R | 0.5 | +128 | 0.5 | +0 | 2/4 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 370 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | TB | 1.5 | +135 | 1.8 | +0.3 | 2/5 | +0.5 | 42 | F | 2.0 | WIN | LOSS | |
| 371 | MLB | Brooks Lee 10 games | MIN vs BAL@MIN | RBI | 0.5 | +207 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 372 | MLB | Bryce Eldridge 10 games | SF vs HOU@SFG | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 373 | MLB | Bryce Harper 10 games | PHI vs PHI@STL | R | 0.5 | +100 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 374 | MLB | Bryce Harper 10 games | PHI vs PHI@STL | RBI | 0.5 | +172 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | R | 0.5 | +200 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 376 | MLB | Chase Meidroth 10 games | CWS vs CIN@CHW | R | 0.5 | +110 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | — | PENDING | PENDING | |
| 377 | MLB | Christian Walker 10 games | HOU vs HOU@SFG | RBI | 0.5 | +155 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 378 | MLB | Christian Yelich 10 games | MIL vs MIL@SDP | RBI | 0.5 | +250 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 379 | MLB | CJ Abrams 10 games | WSH vs CHC@WSN | RBI | 0.5 | +191 | 0.8 | +0.3 | 2/5 | -0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 380 | MLB | Colson Montgomery 10 games | CWS vs CIN@CHW | H | 0.5 | -150 | 0.8 | +0.3 | 3/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 381 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | R | 0.5 | -140 | 0.6 | +0.1 | 3/5 | +-0 | 42 | F | 1.0 | WIN | LOSS | |
| 382 | MLB | Corey Seager 10 games | TEX vs TEX@LAA | R | 0.5 | -145 | 0.8 | +0.3 | 3/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 383 | MLB | Corey Seager 10 games | TEX vs TEX@LAA | TB | 1.5 | +102 | 1.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 384 | MLB | David Hamilton 10 games | MIL vs MIL@SDP | R | 0.5 | +200 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 385 | MLB | Ezequiel Tovar 10 games | COL vs COL@ARI | H | 0.5 | -142 | 0.8 | +0.3 | 3/5 | -0.5 | 42 | F | 1.0 | WIN | LOSS | |
| 386 | MLB | Francisco Alvarez 10 games | NYM vs NYM@ATL | R | 0.5 | +120 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Francisco Lindor 10 games | NYM vs NYM@ATL | H | 1.5 | +180 | 1.6 | +0.1 | 2/5 | +0.4 | 42 | F | 1.0 | LOSS | WIN | |
| 388 | MLB | Freddie Freeman 10 games | LAD vs KCR@LAD | RBI | 0.5 | +151 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 389 | MLB | Gunnar Henderson 10 games | BAL vs BAL@MIN | R | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.5 | 42 | F | 2.0 | WIN | LOSS | |
| 390 | MLB | Harry Ford 10 games | WSH vs CHC@WSN | H | 0.5 | -149 | 0.6 | +0.1 | 3/5 | +0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 391 | MLB | Hunter Goodman 10 games | COL vs COL@ARI | RBI | 0.5 | +144 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 392 | MLB | Ian Happ 10 games | CHC vs CHC@WSN | H | 0.5 | -175 | 1 | +0.5 | 2/5 | +1.1 | 42 | F | 1.0 | WIN | LOSS | |
| 393 | MLB | J.T. Realmuto 10 games | PHI vs PHI@STL | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 394 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | RBI | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 396 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | TB | 1.5 | +140 | 1.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 397 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | RBI | 0.5 | +290 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 398 | MLB | Jung Hoo Lee 10 games | SF vs HOU@SFG | RBI | 0.5 | +275 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 399 | MLB | Junior Caminero 10 games | TB vs TBR@Athlet | R | 0.5 | -144 | 0.6 | +0.1 | 3/5 | +-0 | 42 | F | 2.0 | WIN | LOSS | |
| 400 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0 | 42 | 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.