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 | Leody Taveras 10 games | BAL vs CHC@BAL | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 452 | MLB | Liam Hicks 10 games | MIA vs SEA@MIA | RBI | 0.5 | +250 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 453 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@TEX | H | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 454 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@SDP | RBI | 0.5 | +189 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | Luis Campusano 5 games | SD vs ARI@SDP | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 456 | MLB | Luis Campusano 5 games | SD vs ARI@SDP | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 457 | MLB | Luke Keaschall 10 games | MIN vs CLE@MIN | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 458 | MLB | Luke Raley 10 games | SEA vs SEA@MIA | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 459 | MLB | Manny Machado 10 games | SD vs ARI@SDP | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 460 | MLB | Masyn Winn 10 games | STL vs MIL@STL | RBI | 0.5 | +248 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Matt Olson 10 games | ATL vs ATL@PIT | H | 1.5 | +195 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 462 | MLB | Matt Olson 10 games | ATL vs ATL@PIT | HR | 0.5 | +275 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 463 | MLB | Matt Vierling 10 games | DET vs ATHLETICS@ | RBI | 0.5 | +225 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 464 | MLB | Mauricio Dubon 10 games | ATL vs ATL@PIT | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 465 | MLB | Mauricio Dubon 10 games | ATL vs ATL@PIT | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 466 | MLB | Max Kepler 10 games | AZ vs ARI@SDP | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 467 | MLB | Michael Busch 10 games | CHC vs CHC@BAL | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 468 | MLB | Michael Harris II 10 games | ATL vs ATL@PIT | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 469 | MLB | Miguel Vargas 10 games | CWS vs BOS@CHW | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 470 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@PIT | H | 1.5 | +360 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 471 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@PIT | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 472 | MLB | Nathan Church 10 games | STL vs MIL@STL | H | 0.5 | -133 | 0.4 | -0.1 | 2/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 473 | MLB | Nick Kurtz 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 474 | MLB | Nick Kurtz 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +176 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 475 | MLB | Nick Loftin 10 games | KC vs KCR@NYM | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 476 | MLB | Nico Hoerner 10 games | CHC vs CHC@BAL | RBI | 0.5 | +208 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 477 | MLB | Nolan Arenado 10 games | AZ vs ARI@SDP | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 478 | MLB | Oswald Peraza 10 games | LAA vs LAA@TEX | RBI | 0.5 | +351 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 479 | MLB | Owen Caissie 10 games | MIA vs SEA@MIA | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 480 | MLB | Ozzie Albies 10 games | ATL vs ATL@PIT | H | 1.5 | +180 | 1.2 | -0.3 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 481 | MLB | Ozzie Albies 10 games | ATL vs ATL@PIT | RBI | 0.5 | +170 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 482 | MLB | Pavin Smith 10 games | AZ vs ARI@SDP | RBI | 0.5 | +290 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 483 | MLB | Pete Alonso 10 games | BAL vs CHC@BAL | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@BAL | HR | 0.5 | +400 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 485 | MLB | Rafael Devers 10 games | SF vs COL@SFG | HR | 0.5 | +425 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 486 | MLB | Rafael Devers 10 games | SF vs COL@SFG | RBI | 0.5 | +173 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 487 | MLB | Randy Arozarena 10 games | SEA vs SEA@MIA | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 488 | MLB | Richie Palacios 10 games | TB vs NYY@TBR | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 489 | MLB | Romy Gonzalez 7 games | BOS vs BOS@CHW | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Sal Stewart 10 games | CIN vs PHI@CIN | HR | 0.5 | +400 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 491 | MLB | Salvador Perez 10 games | KC vs KCR@NYM | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Sam Antonacci 10 games | CWS vs BOS@CHW | RBI | 0.5 | +225 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 493 | MLB | Seiya Suzuki 10 games | CHC vs CHC@BAL | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 494 | MLB | Shea Langeliers 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 495 | MLB | Spencer Steer 10 games | CIN vs PHI@CIN | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 496 | MLB | Spencer Steer 10 games | CIN vs PHI@CIN | RBI | 0.5 | +190 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Spencer Torkelson 10 games | DET vs ATHLETICS@ | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 498 | MLB | Starling Marte 10 games | KC vs KCR@NYM | RBI | 0.5 | +250 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 499 | MLB | Steven Kwan 10 games | CLE vs CLE@MIN | RBI | 0.5 | +235 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 500 | MLB | Sung-Mun Song 10 games | SD vs ARI@SDP | H | 0.5 | -124 | 0.4 | -0.1 | 2/5 | -0.3 | 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.