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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 401 | MLB | Kerry Carpenter 10 games | DET vs BAL@DET | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | — | PENDING | PENDING | |
| 402 | MLB | Ketel Marte 10 games | AZ vs ARI@PIT | H | 0.5 | -243 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 403 | MLB | Kyle Schwarber 10 games | PHI vs PHI@MIA | TB | 1.5 | +110 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 404 | MLB | Kyle Stowers 10 games | MIA vs PHI@MIA | H | 1.5 | +360 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 405 | MLB | Marcus Semien 10 games | NYM vs ATL@NYM | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 3.0 | WIN | LOSS | |
| 406 | MLB | Masyn Winn 10 games | STL vs CHC@STL | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 407 | MLB | Merrill Kelly 10 games | AZ vs ARI@PIT | K | 4.5 | +110 | 4.2 | -0.3 | 2/5 | +0.6 | 40 | F | 6.0 | WIN | LOSS | |
| 408 | MLB | Miguel Vargas 10 games | CWS vs NYY@CHW | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 409 | MLB | Nathan Lukes 10 games | TOR vs TOR@WSN | H | 0.5 | -250 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 0.0 | LOSS | WIN | |
| 410 | MLB | Nathaniel Lowe 10 games | CIN vs CLE@CIN | H | 1.5 | +300 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | — | PENDING | PENDING | |
| 411 | MLB | Nick Kurtz 10 games | ATH vs BOS@Athlet | RBI | 0.5 | +153 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 413 | MLB | Otto Lopez 10 games | MIA vs PHI@MIA | H | 0.5 | -211 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 3.0 | WIN | LOSS | |
| 414 | MLB | Rafael Devers 10 games | SF vs MIL@SFG | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Rafael Devers 10 games | SF vs MIL@SFG | R | 1.5 | +900 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 416 | MLB | Randy Arozarena 10 games | SEA vs SEA@TEX | TB | 1.5 | +150 | 1.8 | +0.3 | 1/5 | +1.4 | 40 | F | 4.0 | WIN | LOSS | |
| 417 | MLB | Riley Greene 10 games | DET vs BAL@DET | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 418 | MLB | Ryan O'Hearn 10 games | PIT vs ARI@PIT | H | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Ryan O'Hearn 10 games | PIT vs ARI@PIT | RBI | 0.5 | +186 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Trea Turner 10 games | PHI vs PHI@MIA | H | 0.5 | -257 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 421 | MLB | Tyrone Taylor 10 games | NYM vs ATL@NYM | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +1 | 40 | F | 3.0 | WIN | LOSS | |
| 422 | MLB | Vaughn Grissom 10 games | LAA vs HOU@LAA | H | 0.5 | -170 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 3.0 | WIN | LOSS | |
| 423 | MLB | William Contreras 10 games | MIL vs MIL@SFG | TB | 1.5 | +115 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 424 | MLB | Yainer Diaz 10 games | HOU vs HOU@LAA | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | — | PENDING | PENDING | |
| 425 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 426 | MLB | Alex Bregman 10 games | CHC vs CHC@STL | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | -0.8 | 39 | F | 3.0 | WIN | LOSS | |
| 427 | MLB | Brandon Sproat 9 games | MIL vs MIL@SFG | K | 5.5 | +215 | 5.6 | +0.1 | 2/5 | -1.1 | 39 | F | 5.0 | LOSS | WIN | |
| 428 | MLB | Chadwick Tromp 10 games | BAL vs BAL@DET | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0 | 39 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Corbin Carroll 10 games | AZ vs ARI@PIT | TB | 2.5 | +170 | 2.6 | +0.1 | 2/5 | -1 | 39 | F | 1.0 | LOSS | WIN | |
| 430 | MLB | Ernie Clement 10 games | TOR vs TOR@WSN | TB | 1.5 | -105 | 1.4 | -0.1 | 2/5 | +0.6 | 39 | F | 2.0 | WIN | LOSS | |
| 431 | MLB | Jared Young 10 games | NYM vs ATL@NYM | TB | 1.5 | +230 | 1.8 | +0.3 | 2/5 | -0.7 | 39 | F | 1.0 | LOSS | WIN | |
| 432 | MLB | Julio Rodriguez 5 games | SEA vs SEA@TEX | RBI | 0.5 | +188 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Kyle Schwarber 10 games | PHI vs PHI@MIA | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | +0.2 | 39 | F | 1.0 | WIN | LOSS | |
| 434 | MLB | Logan O'Hoppe 10 games | LAA vs HOU@LAA | H | 0.5 | -120 | 0.8 | +0.3 | 2/5 | +0.3 | 39 | F | — | PENDING | PENDING | |
| 435 | MLB | Spencer Jones 10 games | NYY vs NYY@CHW | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | -0.2 | 39 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@WSN | TB | 1.5 | +125 | 1.4 | -0.1 | 1/5 | +1.6 | 38 | F | 1.0 | LOSS | WIN | |
| 437 | MLB | Tatsuya Imai 8 games | HOU vs HOU@LAA | K | 7.5 | +215 | 6.8 | -0.7 | 3/5 | -1.7 | 38 | F | 1.0 | LOSS | WIN | |
| 438 | MLB | A.J. Ewing 10 games | NYM vs ATL@NYM | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | -0.6 | 37 | F | 3.0 | WIN | LOSS | |
| 439 | MLB | Alec Burleson 10 games | STL vs CHC@STL | RBI | 0.5 | +159 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Alejandro Kirk 10 games | TOR vs TOR@WSN | H | 1.5 | +203 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SFG | HR | 0.5 | +900 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SFG | RBI | 1.5 | +550 | 0.8 | -0.7 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Andruw Monasterio 10 games | BOS vs BOS@Athlet | RBI | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Anthony Volpe 10 games | NYY vs NYY@CHW | RBI | 0.5 | +189 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 445 | MLB | Austin Riley 10 games | ATL vs ATL@NYM | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Bo Bichette 10 games | NYM vs ATL@NYM | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 447 | MLB | Bo Bichette 10 games | NYM vs ATL@NYM | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Bo Bichette 10 games | NYM vs ATL@NYM | TB | 1.5 | +120 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 449 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Brayan Rocchio 10 games | CLE vs CLE@CIN | H | 1.5 | +320 | 0.8 | -0.7 | 2/5 | -0.4 | 37 | 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.