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 | Kyle Schwarber 10 games | PHI vs PHI@STL | H | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 352 | MLB | Kyle Schwarber 10 games | PHI vs PHI@STL | R | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 353 | MLB | Lars Nootbaar 10 games | AZ vs COL@ARI | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Leody Taveras 10 games | BAL vs BAL@MIN | H | 1.5 | +320 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 355 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | H | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 356 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | RBI | 0.5 | +180 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 357 | MLB | Manny Machado 10 games | SD vs MIL@SDP | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | RBI | 1.5 | +800 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 359 | MLB | Masyn Winn 10 games | STL vs PHI@STL | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | +0.9 | 40 | F | 2.0 | WIN | LOSS | |
| 360 | MLB | Matt Olson 10 games | ATL vs NYM@ATL | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 361 | MLB | Nathan Lukes 10 games | TOR vs BOS@TOR | H | 1.5 | +260 | 1.4 | -0.1 | 2/5 | +1.3 | 40 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 363 | MLB | Osleivis Basabe 10 games | SF vs HOU@SFG | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 364 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | R | 0.5 | +105 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 365 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | RBI | 0.5 | +159 | 0.8 | +0.3 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Ryan Jeffers 10 games | MIN vs BAL@MIN | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 2.0 | WIN | LOSS | |
| 367 | MLB | Starling Marte 10 games | KC vs KCR@LAD | RBI | 1.5 | +1300 | 1 | -0.5 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 368 | MLB | Starling Marte 10 games | KC vs KCR@LAD | TB | 1.5 | +260 | 1.4 | -0.1 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 369 | MLB | Tim Tawa 10 games | AZ vs COL@ARI | TB | 1.5 | +160 | 2 | +0.5 | 1/5 | -0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 370 | MLB | Tommy White 10 games | ATH vs TBR@Athlet | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | — | PENDING | PENDING | |
| 371 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs BOS@TOR | TB | 1.5 | +138 | 1.4 | -0.1 | 2/5 | +0.9 | 40 | F | 1.0 | LOSS | WIN | |
| 372 | MLB | William Contreras 10 games | MIL vs MIL@SDP | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 373 | MLB | Willson Contreras 10 games | BOS vs BOS@TOR | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 374 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | TB | 1.5 | +150 | 1.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 376 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | TB | 1.5 | +145 | 1.6 | +0.1 | 2/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 377 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | R | 0.5 | +150 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 378 | MLB | Joey Ortiz 10 games | MIL vs MIL@SDP | TB | 1.5 | +220 | 1.6 | +0.1 | 2/5 | -0.9 | 39 | F | — | PENDING | PENDING | |
| 379 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | R | 0.5 | +138 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 380 | MLB | Mickey Moniak 10 games | COL vs COL@ARI | TB | 1.5 | +130 | 1.6 | +0.1 | 2/5 | -0.9 | 39 | F | 0.0 | LOSS | WIN | |
| 381 | MLB | Mookie Betts 10 games | LAD vs KCR@LAD | H | 0.5 | -200 | 1 | +0.5 | 2/5 | -0.5 | 39 | F | 1.0 | WIN | LOSS | |
| 382 | MLB | Ryan Kreidler 10 games | MIN vs BAL@MIN | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.4 | 39 | F | 1.0 | WIN | LOSS | |
| 383 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | TB | 2.5 | +190 | 2.4 | -0.1 | 1/5 | +1.7 | 38 | F | 1.0 | LOSS | WIN | |
| 384 | MLB | Reid Detmers 9 games | LAA vs TEX@LAA | K | 6.5 | -140 | 6.6 | +0.1 | 2/5 | +0.8 | 38 | F | 6.0 | LOSS | WIN | |
| 385 | MLB | A.J. Ewing 10 games | NYM vs NYM@ATL | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 386 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 387 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | RBI | 0.5 | +196 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 388 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | TB | 1.5 | +150 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 389 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SDP | R | 0.5 | +166 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 391 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 392 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | RBI | 1.5 | +600 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | Andy Pages 10 games | LAD vs KCR@LAD | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 394 | MLB | Andy Pages 10 games | LAD vs KCR@LAD | RBI | 0.5 | +200 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Austin Riley 10 games | ATL vs NYM@ATL | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 396 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | RBI | 0.5 | +199 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 397 | MLB | Brandon Nimmo 10 games | TEX vs TEX@LAA | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 398 | MLB | Brandon Nimmo 10 games | TEX vs TEX@LAA | RBI | 1.5 | +475 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 399 | MLB | Bryce Harper 10 games | PHI vs PHI@STL | H | 1.5 | +220 | 1 | -0.5 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Cam Smith 10 games | HOU vs HOU@SFG | R | 1.5 | +1000 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS |
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.