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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451 | MLB | Masataka Yoshida 10 games | BOS vs BOS@NYY | RBI | 0.5 | +234 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 452 | MLB | Matt Chapman 10 games | SF vs SFG@CHC | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 453 | MLB | Matt McLain 10 games | CIN vs CIN@STL | RBI | 0.5 | +230 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 454 | MLB | Matt Vierling 10 games | DET vs SEA@DET | H | 0.5 | -146 | 0.8 | +0.3 | 3/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | Mickey Gasper 10 games | BOS vs BOS@NYY | RBI | 0.5 | +283 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 456 | MLB | Mickey Gasper 10 games | BOS vs BOS@NYY | TB | 1.5 | +200 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 1.0 | LOSS | WIN | |
| 457 | MLB | Nick Loftin 10 games | KC vs KCR@MIN | RBI | 0.5 | +227 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 458 | MLB | Nick Madrigal 7 games | LAA vs LAA@LAD | H | 0.5 | -160 | 1 | +0.5 | 2/5 | +0.7 | 42 | F | 1.0 | WIN | LOSS | |
| 459 | MLB | Ozzie Albies 10 games | ATL vs PIT@ATL | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 460 | MLB | Pete Alonso 10 games | BAL vs BAL@TOR | RBI | 0.5 | +174 | 0.8 | +0.3 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Ranger Suarez 9 games | BOS vs BOS@NYY | K | 5.5 | +122 | 5.6 | +0.1 | 2/5 | -0.1 | 42 | F | 6.0 | WIN | LOSS | |
| 462 | MLB | Richie Palacios 10 games | TB vs TBR@MIA | R | 0.5 | +145 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 463 | MLB | Riley Greene 10 games | DET vs SEA@DET | RBI | 0.5 | +190 | 0.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 464 | MLB | Shohei Ohtani 10 games | LAD vs LAA@LAD | RBI | 0.5 | +161 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 465 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | R | 0.5 | +120 | 0.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 466 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | RBI | 0.5 | +179 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 467 | MLB | Spencer Torkelson 10 games | DET vs SEA@DET | R | 0.5 | +155 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 468 | MLB | Taylor Ward 10 games | BAL vs BAL@TOR | TB | 1.5 | +160 | 1.6 | +0.1 | 2/5 | +0.5 | 42 | F | 4.0 | WIN | LOSS | |
| 469 | MLB | Tommy Troy 10 games | AZ vs WSN@ARI | H | 0.5 | -150 | 0.8 | +0.3 | 3/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 470 | MLB | Trent Grisham 10 games | NYY vs BOS@NYY | RBI | 0.5 | +175 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 471 | MLB | Trevor McDonald 6 games | SF vs SFG@CHC | K | 4.5 | +120 | 4.6 | +0.1 | 2/5 | -0.5 | 42 | F | 6.0 | WIN | LOSS | |
| 472 | MLB | Troy Johnston 10 games | COL vs MIL@COL | RBI | 0.5 | +165 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 473 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@MIN | RBI | 0.5 | +202 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 474 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs BAL@TOR | R | 0.5 | +116 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 475 | MLB | Willy Adames 10 games | SF vs SFG@CHC | HR | 0.5 | +425 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 476 | MLB | Yordan Alvarez 10 games | HOU vs Athletics@ | H | 1.5 | +220 | 1.8 | +0.3 | 2/5 | -0.4 | 42 | F | 1.0 | LOSS | WIN | |
| 477 | MLB | Zach Neto 10 games | LAA vs LAA@LAD | TB | 1.5 | +140 | 1.6 | +0.1 | 2/5 | -0.1 | 42 | F | 4.0 | WIN | LOSS | |
| 478 | MLB | Alex Freeland 10 games | LAD vs LAA@LAD | H | 0.5 | -110 | 0.8 | +0.3 | 2/5 | +0.4 | 41 | F | 0.0 | LOSS | WIN | |
| 479 | MLB | Andrew Vaughn 10 games | MIL vs MIL@COL | RBI | 0.5 | -107 | 0.8 | +0.3 | 2/5 | +0.2 | 41 | F | 1.0 | WIN | LOSS | |
| 480 | MLB | Connor Prielipp 8 games | MIN vs KCR@MIN | K | 5.5 | +150 | 5.4 | -0.1 | 3/5 | -0.9 | 41 | F | 7.0 | WIN | LOSS | |
| 481 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@LAD | H | 0.5 | -105 | 0.6 | +0.1 | 2/5 | -0.3 | 41 | F | — | PENDING | PENDING | |
| 482 | MLB | A.J. Ewing 10 games | NYM vs NYM@SDP | TB | 1.5 | +185 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 483 | MLB | Amed Rosario 10 games | NYY vs BOS@NYY | TB | 1.5 | +135 | 2 | +0.5 | 1/5 | -1.5 | 40 | F | 1.0 | LOSS | WIN | |
| 484 | MLB | Austin Martin 10 games | MIN vs KCR@MIN | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 485 | MLB | Austin Riley 10 games | ATL vs PIT@ATL | TB | 1.5 | +155 | 1.2 | -0.3 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 486 | MLB | Bo Bichette 10 games | NYM vs NYM@SDP | H | 1.5 | +182 | 1.4 | -0.1 | 2/5 | +1.4 | 40 | F | 2.0 | WIN | LOSS | |
| 487 | MLB | Bryan Reynolds 10 games | PIT vs PIT@ATL | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Bryce Harper 10 games | PHI vs CHW@PHI | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 489 | MLB | Byron Buxton 10 games | MIN vs KCR@MIN | H | 0.5 | -260 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | — | PENDING | PENDING | |
| 490 | MLB | Carlos Cortes 10 games | ATH vs Athletics@ | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 491 | MLB | Carson Benge 10 games | NYM vs NYM@SDP | H | 0.5 | -192 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 5.0 | WIN | LOSS | |
| 492 | MLB | Carson Benge 10 games | NYM vs NYM@SDP | TB | 1.5 | +140 | 2 | +0.5 | 1/5 | -1.4 | 40 | F | 10.0 | WIN | LOSS | |
| 493 | MLB | CJ Abrams 10 games | WSH vs WSN@ARI | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 494 | MLB | Coby Mayo 10 games | BAL vs BAL@TOR | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +1 | 40 | F | — | PENDING | PENDING | |
| 495 | MLB | Colton Cowser 10 games | BAL vs BAL@TOR | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 5.0 | WIN | LOSS | |
| 496 | MLB | Ernie Clement 10 games | TOR vs BAL@TOR | RBI | 0.5 | +194 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | George Springer 10 games | TOR vs BAL@TOR | H | 0.5 | -237 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 498 | MLB | Jake Meyers 10 games | HOU vs Athletics@ | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 499 | MLB | James Wood 10 games | WSH vs WSN@ARI | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 0.0 | LOSS | WIN | |
| 500 | MLB | Jhonny Pereda 10 games | SEA vs SEA@DET | RBI | 0.5 | +280 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | 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.