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 | Ben Rice 10 games | NYY vs NYY@BOS | RBI | 0.5 | +179 | 1 | +0.5 | 2/5 | +0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 352 | MLB | Ben Rice 10 games | NYY vs NYY@BOS | TB | 1.5 | +110 | 2.2 | +0.7 | 2/5 | +0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Byron Buxton 10 games | MIN vs COL@MIN | RBI | 0.5 | +125 | 1 | +0.5 | 2/5 | +0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Colson Montgomery 10 games | CWS vs KCR@CHW | RBI | 0.5 | +150 | 1 | +0.5 | 2/5 | -0.5 | 48 | F | 0.0 | LOSS | WIN | |
| 355 | MLB | Corbin Carroll 10 games | AZ vs ARI@TBR | RBI | 1.5 | +500 | 1.6 | +0.1 | 2/5 | +1.8 | 48 | F | 1.0 | LOSS | WIN | |
| 356 | MLB | Dansby Swanson 10 games | CHC vs CHC@MIL | TB | 1.5 | +220 | 1.6 | +0.1 | 2/5 | +1.7 | 48 | F | 0.0 | LOSS | WIN | |
| 357 | MLB | Dylan Crews 10 games | WSH vs WSN@BAL | TB | 1.5 | +142 | 2 | +0.5 | 2/5 | +0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | George Springer 10 games | TOR vs TEX@TOR | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | +-0 | 48 | F | — | PENDING | PENDING | |
| 359 | MLB | George Springer 10 games | TOR vs TEX@TOR | RBI | 0.5 | +180 | 1 | +0.5 | 2/5 | +-0 | 48 | F | — | PENDING | PENDING | |
| 360 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | RBI | 0.5 | +222 | 1 | +0.5 | 2/5 | +0.3 | 48 | F | — | PENDING | PENDING | |
| 361 | MLB | JJ Bleday 10 games | CIN vs CIN@PIT | RBI | 0.5 | +188 | 1 | +0.5 | 2/5 | -0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Josh Rojas 2 games | KC vs KCR@CHW | RBI | 0.5 | +290 | 1 | +0.5 | 1/2 | +0 | 48 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Kyle Stowers 10 games | MIA vs MIA@STL | RBI | 0.5 | +179 | 1.2 | +0.7 | 2/5 | +0.5 | 48 | F | 2.0 | WIN | LOSS | |
| 364 | MLB | Luis Arraez 10 games | SF vs ATL@SFG | TB | 1.5 | +116 | 2 | +0.5 | 2/5 | -0.3 | 48 | F | 1.0 | LOSS | WIN | |
| 365 | MLB | Nick Kurtz 10 games | ATH vs Athletics@ | R | 0.5 | -105 | 0.6 | +0.1 | 3/5 | -0.5 | 48 | F | 1.0 | WIN | LOSS | |
| 366 | MLB | Nick Loftin 10 games | KC vs KCR@CHW | H | 0.5 | -150 | 1.2 | +0.7 | 3/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 367 | MLB | Alec Bohm 10 games | PHI vs PHI@NYM | H | 1.5 | +240 | 1.4 | -0.1 | 3/5 | +0.6 | 47 | F | — | PENDING | PENDING | |
| 368 | MLB | Byron Buxton 10 games | MIN vs COL@MIN | TB | 1.5 | -122 | 2.2 | +0.7 | 3/5 | -1.3 | 47 | F | 0.0 | LOSS | WIN | |
| 369 | MLB | George Springer 10 games | TOR vs TEX@TOR | H | 1.5 | +220 | 1.4 | -0.1 | 3/5 | +0.6 | 47 | F | — | PENDING | PENDING | |
| 370 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | H | 1.5 | +340 | 1.2 | -0.3 | 3/5 | +1 | 47 | F | 1.0 | LOSS | WIN | |
| 371 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | TB | 1.5 | +180 | 1.4 | -0.1 | 3/5 | +1.2 | 47 | F | 2.0 | WIN | LOSS | |
| 372 | MLB | Matt Shaw 10 games | CHC vs CHC@MIL | RBI | 1.5 | +900 | 1.4 | -0.1 | 3/5 | +1 | 47 | F | 0.0 | LOSS | WIN | |
| 373 | MLB | Trevor Larnach 10 games | MIN vs COL@MIN | R | 1.5 | +475 | 1.2 | -0.3 | 3/5 | +0.6 | 47 | F | 1.0 | LOSS | WIN | |
| 374 | MLB | Alec Burleson 10 games | STL vs MIA@STL | H | 0.5 | -300 | 0.8 | +0.3 | 4/5 | -0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Alejandro Osuna 10 games | TEX vs TEX@TOR | H | 0.5 | -120 | 0.8 | +0.3 | 3/5 | +0.3 | 46 | F | 2.0 | WIN | LOSS | |
| 376 | MLB | Alika Williams 10 games | ATH vs Athletics@ | TB | 1.5 | +220 | 1.8 | +0.3 | 3/5 | -1.2 | 46 | F | 0.0 | LOSS | WIN | |
| 377 | MLB | Andre Pallante 8 games | STL vs MIA@STL | K | 4.5 | -104 | 4.4 | -0.1 | 3/5 | +0.6 | 46 | F | 4.0 | LOSS | WIN | |
| 378 | MLB | Anthony Seigler 3 games | BOS vs NYY@BOS | H | 0.5 | -120 | 0.7 | +0.2 | 2/3 | +0 | 46 | F | 1.0 | WIN | LOSS | |
| 379 | MLB | Blaze Alexander 10 games | BAL vs WSN@BAL | H | 0.5 | -180 | 1.2 | +0.7 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 380 | MLB | Brice Turang 10 games | MIL vs CHC@MIL | H | 0.5 | -190 | 1 | +0.5 | 3/5 | +-0 | 46 | F | 0.0 | LOSS | WIN | |
| 381 | MLB | Brice Turang 10 games | MIL vs CHC@MIL | TB | 1.5 | +160 | 1.8 | +0.3 | 3/5 | -0.8 | 46 | F | 0.0 | LOSS | WIN | |
| 382 | MLB | Brooks Lee 10 games | MIN vs COL@MIN | H | 0.5 | -220 | 1.4 | +0.9 | 3/5 | +0.5 | 46 | F | 2.0 | WIN | LOSS | |
| 383 | MLB | Bryce Eldridge 10 games | SF vs ATL@SFG | RBI | 0.5 | +210 | 0.6 | +0.1 | 3/5 | -0.7 | 46 | F | 0.0 | LOSS | WIN | |
| 384 | MLB | Carson Benge 10 games | NYM vs PHI@NYM | R | 0.5 | -115 | 0.6 | +0.1 | 3/5 | +0.4 | 46 | F | 1.0 | WIN | LOSS | |
| 385 | MLB | Ceddanne Rafaela 10 games | BOS vs NYY@BOS | TB | 1.5 | +134 | 1.6 | +0.1 | 3/5 | -0.6 | 46 | F | 2.0 | WIN | LOSS | |
| 386 | MLB | CJ Abrams 10 games | WSH vs WSN@BAL | H | 0.5 | -220 | 0.8 | +0.3 | 4/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Colt Keith 10 games | DET vs HOU@DET | RBI | 0.5 | +214 | 1.2 | +0.7 | 1/5 | +1.1 | 46 | F | 0.0 | LOSS | WIN | |
| 388 | MLB | Elly De La Cruz 10 games | CIN vs CIN@PIT | H | 0.5 | -207 | 1 | +0.5 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 389 | MLB | Fernando Tatis Jr. 10 games | SD vs LAD@SDP | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | +0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 390 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 0.5 | -185 | 0.8 | +0.3 | 4/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 391 | MLB | J.T. Realmuto 10 games | PHI vs PHI@NYM | H | 0.5 | -160 | 1.2 | +0.7 | 3/5 | +-0 | 46 | F | — | PENDING | PENDING | |
| 392 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | TB | 1.5 | +150 | 2 | +0.5 | 1/5 | +1.3 | 46 | F | — | PENDING | PENDING | |
| 393 | MLB | JJ Wetherholt 10 games | STL vs MIA@STL | H | 0.5 | -240 | 1.4 | +0.9 | 3/5 | -0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 394 | MLB | Jordan Walker 10 games | STL vs MIA@STL | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 395 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | H | 0.5 | -155 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | 2.0 | WIN | LOSS | |
| 396 | MLB | Josh Naylor 10 games | SEA vs SEA@CLE | H | 0.5 | -220 | 0.8 | +0.3 | 4/5 | +0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 397 | MLB | Luis Arraez 10 games | SF vs ATL@SFG | H | 0.5 | -350 | 1.2 | +0.7 | 3/5 | -0.4 | 46 | F | 1.0 | WIN | LOSS | |
| 398 | MLB | Marcell Ozuna 10 games | PIT vs CIN@PIT | H | 0.5 | -113 | 0.8 | +0.3 | 3/5 | +0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 399 | MLB | Nathan Lukes 10 games | TOR vs TEX@TOR | H | 0.5 | -190 | 0.8 | +0.3 | 4/5 | -0.3 | 46 | F | 2.0 | WIN | LOSS | |
| 400 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@BOS | R | 0.5 | -115 | 0.6 | +0.1 | 3/5 | -0.1 | 46 | 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.