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 | Ryan Jeffers 10 games | MIN vs BAL@MIN | RBI | 0.5 | +210 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | — | PENDING | PENDING | |
| 352 | MLB | Seiya Suzuki 10 games | CHC vs CHC@WSN | RBI | 0.5 | +152 | 0.8 | +0.3 | 2/5 | +0.5 | 45 | F | 2.0 | WIN | LOSS | |
| 353 | MLB | Trent Grisham 10 games | NYY vs SEA@NYY | RBI | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 4.0 | WIN | LOSS | |
| 354 | MLB | Ty France 10 games | SD vs MIL@SDP | TB | 1.5 | +150 | 1.6 | +0.1 | 2/5 | +1.2 | 45 | F | 2.0 | WIN | LOSS | |
| 355 | MLB | Victor Bericoto 10 games | SF vs HOU@SFG | H | 0.5 | -140 | 1 | +0.5 | 3/5 | -0.8 | 45 | F | 1.0 | WIN | LOSS | |
| 356 | MLB | Will Warren 10 games | NYY vs SEA@NYY | K | 4.5 | -125 | 4 | -0.5 | 3/5 | +1.8 | 45 | F | 3.0 | LOSS | WIN | |
| 357 | MLB | Brett Baty 10 games | NYM vs NYM@ATL | H | 0.5 | -135 | 0.6 | +0.1 | 3/5 | -0.1 | 44 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | Bryson Stott 10 games | PHI vs PHI@STL | H | 1.5 | +260 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | 1.0 | LOSS | WIN | |
| 359 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | -0.1 | 44 | F | 1.0 | WIN | LOSS | |
| 360 | MLB | Luis Lara 10 games | MIL vs MIL@SDP | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | 0.0 | LOSS | WIN | |
| 361 | MLB | Matt McLain 10 games | CIN vs CIN@CHW | H | 0.5 | -130 | 0.8 | +0.3 | 3/5 | +-0 | 44 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Max Muncy 10 games | ATH vs KCR@LAD | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Nick Gonzales 10 games | PIT vs PIT@MIA | TB | 1.5 | +138 | 1.4 | -0.1 | 3/5 | -0.1 | 44 | F | 3.0 | WIN | LOSS | |
| 364 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@WSN | R | 1.5 | +360 | 1.4 | -0.1 | 3/5 | -0.4 | 44 | F | 1.0 | LOSS | WIN | |
| 365 | MLB | Tyler Tolbert 10 games | KC vs KCR@LAD | TB | 1.5 | +220 | 1.4 | -0.1 | 3/5 | -0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Vaughn Grissom 10 games | LAA vs TEX@LAA | TB | 1.5 | +145 | 1.4 | -0.1 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 367 | MLB | Victor Mesa Jr. 10 games | TB vs TBR@Athlet | H | 1.5 | +260 | 1.4 | -0.1 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 368 | MLB | Josh Bell 10 games | MIN vs BAL@MIN | H | 0.5 | -210 | 1.4 | +0.9 | 3/5 | -0.6 | 43 | F | 3.0 | WIN | LOSS | |
| 369 | MLB | Ranger Suarez 8 games | BOS vs BOS@TOR | K | 4.5 | +105 | 4.8 | +0.3 | 3/5 | -2 | 43 | F | 2.0 | LOSS | WIN | |
| 370 | MLB | TJ Rumfield 10 games | COL vs COL@ARI | H | 0.5 | -235 | 1.2 | +0.7 | 3/5 | -0.8 | 43 | F | 1.0 | WIN | LOSS | |
| 371 | MLB | Tyler Mahle 8 games | ATL vs NYM@ATL | K | 6.5 | +260 | 5.8 | -0.7 | 2/5 | +1.9 | 43 | F | 7.0 | WIN | LOSS | |
| 372 | MLB | Alec Burleson 10 games | STL vs PHI@STL | RBI | 0.5 | +191 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 3.0 | WIN | LOSS | |
| 373 | MLB | Alec Burleson 10 games | STL vs PHI@STL | TB | 1.5 | +136 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 3.0 | WIN | LOSS | |
| 374 | MLB | Andrew Pinckney 2 games | WSH vs CHC@WSN | HR | 0.5 | +800 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Andrew Pinckney 2 games | WSH vs CHC@WSN | R | 0.5 | +199 | 0.5 | +0 | 1/2 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 376 | MLB | Andrew Pinckney 2 games | WSH vs CHC@WSN | RBI | 0.5 | +284 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 377 | MLB | Ben Malgeri 10 games | DET vs CLE@DET | R | 0.5 | +182 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 378 | MLB | Brady House 10 games | WSH vs CHC@WSN | TB | 1.5 | +145 | 1.6 | +0.1 | 2/5 | +0.1 | 42 | F | 1.0 | LOSS | WIN | |
| 379 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 380 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | TB | 1.5 | +115 | 1.8 | +0.3 | 2/5 | +0 | 42 | F | 1.0 | LOSS | WIN | |
| 381 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 382 | MLB | Brett Bateman 5 games | TOR vs BOS@TOR | RBI | 0.5 | +333 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 383 | MLB | Bryan Reynolds 10 games | PIT vs PIT@MIA | R | 0.5 | +129 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 384 | MLB | Cam Smith 10 games | HOU vs HOU@SFG | H | 1.5 | +260 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 385 | MLB | Cam Smith 10 games | HOU vs HOU@SFG | HR | 0.5 | +850 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 386 | MLB | Carson Kelly 10 games | CHC vs CHC@WSN | RBI | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Chase Meidroth 10 games | CWS vs CIN@CHW | R | 0.5 | +155 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 1.0 | WIN | LOSS | |
| 388 | MLB | CJ Abrams 10 games | WSH vs CHC@WSN | RBI | 0.5 | +176 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 389 | MLB | Coby Mayo 10 games | BAL vs BAL@MIN | RBI | 0.5 | +210 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Cole Carrigg 10 games | COL vs COL@ARI | TB | 1.5 | +131 | 1.6 | +0.1 | 2/5 | -0.3 | 42 | F | 1.0 | LOSS | WIN | |
| 391 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | R | 0.5 | -140 | 0.6 | +0.1 | 3/5 | +0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 392 | MLB | David Hamilton 10 games | MIL vs MIL@SDP | R | 0.5 | +230 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | David Peterson 9 games | CHC vs CHC@WSN | K | 3.5 | -240 | 4 | +0.5 | 2/5 | +1.2 | 42 | F | 6.0 | WIN | LOSS | |
| 394 | MLB | Daylen Lile 10 games | WSH vs CHC@WSN | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Daylen Lile 10 games | WSH vs CHC@WSN | TB | 1.5 | +150 | 1.8 | +0.3 | 2/5 | -0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 396 | MLB | Dylan Beavers 10 games | BAL vs BAL@MIN | H | 0.5 | -150 | 0.6 | +0.1 | 3/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 397 | MLB | Esteury Ruiz 10 games | MIA vs PIT@MIA | R | 0.5 | +175 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | — | PENDING | PENDING | |
| 398 | MLB | Ezequiel Tovar 10 games | COL vs COL@ARI | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 399 | MLB | Francisco Alvarez 10 games | NYM vs NYM@ATL | R | 0.5 | +140 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Freddie Freeman 10 games | LAD vs KCR@LAD | RBI | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +0.4 | 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.