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 | Cedric Mullins 10 games | TB vs TBR@LAD | RBI | 0.5 | +246 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 352 | MLB | CJ Abrams 10 games | WSH vs KCR@WSN | RBI | 0.5 | +150 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Cole Carrigg 6 games | COL vs COL@CHC | RBI | 0.5 | +230 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 4.0 | WIN | LOSS | |
| 354 | MLB | Dalton Rushing 10 games | LAD vs TBR@LAD | H | 0.5 | -150 | 0.6 | +0.1 | 3/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 355 | MLB | Dillon Dingler 10 games | DET vs DET@HOU | R | 0.5 | +125 | 0.8 | +0.3 | 2/5 | -0.3 | 42 | F | 3.0 | WIN | LOSS | |
| 356 | MLB | Ezequiel Duran 10 games | TEX vs MIN@TEX | R | 0.5 | +150 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | — | PENDING | PENDING | |
| 357 | MLB | Henry Bolte 10 games | ATH vs PIT@Athlet | TB | 1.5 | +150 | 1.8 | +0.3 | 2/5 | -0.4 | 42 | F | 3.0 | WIN | LOSS | |
| 358 | MLB | Hunter Goodman 10 games | COL vs COL@CHC | H | 0.5 | -180 | 1.4 | +0.9 | 2/5 | +0.6 | 42 | F | 2.0 | WIN | LOSS | |
| 359 | MLB | Ian Happ 10 games | CHC vs COL@CHC | TB | 1.5 | +120 | 1.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 360 | MLB | Isaac Collins 10 games | KC vs KCR@WSN | H | 0.5 | -140 | 0.8 | +0.3 | 3/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 361 | MLB | Jackson Merrill 10 games | SD vs SDP@STL | RBI | 0.5 | +187 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Jacob Wilson 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Jacob Young 10 games | WSH vs KCR@WSN | TB | 1.5 | +200 | 1.8 | +0.3 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 364 | MLB | Jake Burger 10 games | TEX vs MIN@TEX | RBI | 0.5 | +196 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 365 | MLB | Jared Young 10 games | NYM vs NYM@CIN | RBI | 0.5 | +228 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Javier Sanoja 10 games | MIA vs MIA@PHI | R | 0.5 | +250 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 367 | MLB | Jimmy Crooks 8 games | STL vs SDP@STL | RBI | 0.5 | +231 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 368 | MLB | Jo Adell 10 games | LAA vs LAA@ARI | RBI | 0.5 | +137 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 369 | MLB | Joe Mack 10 games | MIA vs MIA@PHI | R | 0.5 | +250 | 0.8 | +0.3 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 370 | MLB | Joe Mack 10 games | MIA vs MIA@PHI | TB | 1.5 | +260 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 371 | MLB | Jordan Lawlar 2 games | AZ vs LAA@ARI | R | 0.5 | +140 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 372 | MLB | Jordan Walker 10 games | STL vs SDP@STL | RBI | 1.5 | +400 | 1.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 373 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | TB | 1.5 | +100 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 3.0 | WIN | LOSS | |
| 374 | MLB | Keibert Ruiz 10 games | WSH vs KCR@WSN | R | 0.5 | +170 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 375 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | H | 0.5 | -140 | 0.8 | +0.3 | 3/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 376 | MLB | Lawrence Butler 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +190 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 377 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs LAA@ARI | RBI | 0.5 | +165 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 378 | MLB | Maikel Garcia 10 games | KC vs KCR@WSN | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 379 | MLB | Marcus Semien 10 games | NYM vs NYM@CIN | H | 0.5 | -150 | 0.6 | +0.1 | 3/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 380 | MLB | Max Muncy 10 games | LAD vs TBR@LAD | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 381 | MLB | Mike Trout 10 games | LAA vs LAA@ARI | TB | 1.5 | +105 | 1.8 | +0.3 | 2/5 | +0.4 | 42 | F | 5.0 | WIN | LOSS | |
| 382 | MLB | Nick Kurtz 10 games | ATH vs PIT@Athlet | TB | 2.5 | +170 | 2.6 | +0.1 | 2/5 | +0.1 | 42 | F | 9.0 | WIN | LOSS | |
| 383 | MLB | Nolan Schanuel 10 games | LAA vs LAA@ARI | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 384 | MLB | Otto Lopez 10 games | MIA vs MIA@PHI | RBI | 0.5 | +263 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 385 | MLB | Riley Greene 10 games | DET vs DET@HOU | R | 0.5 | +110 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 386 | MLB | Riley Greene 10 games | DET vs DET@HOU | RBI | 0.5 | +167 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Riley Greene 10 games | DET vs DET@HOU | TB | 1.5 | +135 | 1.8 | +0.3 | 2/5 | +-0 | 42 | F | 1.0 | LOSS | WIN | |
| 388 | MLB | Samad Taylor 8 games | SD vs SDP@STL | H | 1.5 | +320 | 1.6 | +0.1 | 2/5 | +0.4 | 42 | F | — | PENDING | PENDING | |
| 389 | MLB | Shea Langeliers 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +116 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Spencer Torkelson 10 games | DET vs DET@HOU | RBI | 0.5 | +217 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 391 | MLB | Tommy Troy 10 games | AZ vs LAA@ARI | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 392 | MLB | Walbert Urena 2 games | LAA vs LAA@ARI | K | 5.5 | +260 | 5.5 | +0 | 1/2 | +0 | 42 | F | — | PENDING | PENDING | |
| 393 | MLB | Will Wagner 5 games | SD vs SDP@STL | H | 0.5 | -138 | 0.8 | +0.3 | 3/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 394 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Xander Bogaerts 10 games | SD vs SDP@STL | R | 0.5 | +145 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 396 | MLB | Zach McKinstry 10 games | DET vs DET@HOU | TB | 1.5 | +250 | 1.8 | +0.3 | 2/5 | +0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 397 | MLB | Zack Gelof 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +189 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 398 | MLB | Corey Seager 10 games | TEX vs MIN@TEX | R | 0.5 | -110 | 0.6 | +0.1 | 2/5 | +0.4 | 41 | F | — | PENDING | PENDING | |
| 399 | MLB | Jordan Lawlar 2 games | AZ vs LAA@ARI | H | 0.5 | -150 | 1 | +0.5 | 1/2 | +0 | 41 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Ryan Kreidler 10 games | MIN vs MIN@TEX | H | 0.5 | -102 | 0.6 | +0.1 | 2/5 | +0.3 | 41 | 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.