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 | Garrett Mitchell 10 games | MIL vs CLE@MIL | TB | 1.5 | +190 | 2.2 | +0.7 | 2/5 | -0.2 | 48 | F | 5.0 | WIN | LOSS | |
| 352 | MLB | Jackson Holliday 10 games | BAL vs BAL@SEA | RBI | 0.5 | +335 | 1 | +0.5 | 2/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Jake Bauers 10 games | MIL vs CLE@MIL | RBI | 0.5 | +190 | 1.2 | +0.7 | 2/5 | -0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | H | 0.5 | -140 | 1 | +0.5 | 3/5 | +0.2 | 48 | F | 2.0 | WIN | LOSS | |
| 355 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | RBI | 0.5 | +291 | 1 | +0.5 | 2/5 | +0.4 | 48 | F | 2.0 | WIN | LOSS | |
| 356 | MLB | Kyle Schwarber 10 games | PHI vs MIA@PHI | TB | 1.5 | +125 | 2.2 | +0.7 | 2/5 | +0.1 | 48 | F | 4.0 | WIN | LOSS | |
| 357 | MLB | Matt Chapman 10 games | SF vs SFG@ATL | R | 0.5 | +135 | 1 | +0.5 | 2/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | Matt Chapman 10 games | SF vs SFG@ATL | TB | 1.5 | +170 | 3.4 | +1.9 | 2/5 | -1.6 | 48 | F | 0.0 | LOSS | WIN | |
| 359 | MLB | Max Muncy 10 games | LAD vs TBR@LAD | H | 0.5 | -150 | 1 | +0.5 | 3/5 | -0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 360 | MLB | Max Muncy 10 games | LAD vs TBR@LAD | RBI | 0.5 | +169 | 1.4 | +0.9 | 2/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 361 | MLB | Miguel Vargas 10 games | CWS vs CHW@NYY | TB | 1.5 | +130 | 2 | +0.5 | 2/5 | +0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Mike Trout 10 games | LAA vs LAA@ARI | R | 0.5 | -110 | 0.8 | +0.3 | 3/5 | +0.1 | 48 | F | 1.0 | WIN | LOSS | |
| 363 | MLB | Nick Loftin 10 games | KC vs KCR@WSN | H | 0.5 | -144 | 1 | +0.5 | 3/5 | -0.2 | 48 | F | 2.0 | WIN | LOSS | |
| 364 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | H | 0.5 | -150 | 1.2 | +0.7 | 3/5 | -0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 365 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | TB | 1.5 | +175 | 2 | +0.5 | 2/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Seiya Suzuki 10 games | CHC vs COL@CHC | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | +0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 367 | MLB | Seiya Suzuki 10 games | CHC vs COL@CHC | TB | 1.5 | +120 | 2 | +0.5 | 2/5 | -0.1 | 48 | F | 3.0 | WIN | LOSS | |
| 368 | MLB | Shohei Ohtani 10 games | LAD vs TBR@LAD | R | 0.5 | -140 | 1 | +0.5 | 3/5 | -0.3 | 48 | F | 1.0 | WIN | LOSS | |
| 369 | MLB | Yohendrick Pinango 5 games | TOR vs TOR@BOS | H | 0.5 | -140 | 1 | +0.5 | 3/5 | +0.3 | 48 | F | — | PENDING | PENDING | |
| 370 | MLB | Colt Keith 10 games | DET vs DET@HOU | H | 0.5 | -110 | 1 | +0.5 | 2/5 | +0.3 | 47 | F | — | PENDING | PENDING | |
| 371 | MLB | Drake Baldwin 10 games | ATL vs SFG@ATL | TB | 1.5 | -105 | 2.4 | +0.9 | 2/5 | -0.2 | 47 | F | 4.0 | WIN | LOSS | |
| 372 | MLB | Kyle Tucker 10 games | LAD vs TBR@LAD | RBI | 1.5 | +600 | 1.4 | -0.1 | 3/5 | +0.7 | 47 | F | 0.0 | LOSS | WIN | |
| 373 | MLB | Andre Pallante 9 games | STL vs SDP@STL | K | 4.5 | +165 | 4.6 | +0.1 | 3/5 | -0.7 | 46 | F | 6.0 | WIN | LOSS | |
| 374 | MLB | Brice Matthews 10 games | HOU vs DET@HOU | H | 0.5 | -111 | 0.8 | +0.3 | 3/5 | +0.4 | 46 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 376 | MLB | Bryson Stott 10 games | PHI vs MIA@PHI | H | 0.5 | -175 | 1 | +0.5 | 3/5 | +0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 377 | MLB | Cam Smith 10 games | HOU vs DET@HOU | H | 0.5 | -155 | 0.8 | +0.3 | 4/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 378 | MLB | Carson Benge 10 games | NYM vs NYM@CIN | R | 0.5 | -115 | 0.6 | +0.1 | 3/5 | -0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 379 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | H | 0.5 | -190 | 1.2 | +0.7 | 3/5 | +0.4 | 46 | F | 2.0 | WIN | LOSS | |
| 380 | MLB | Christian Walker 10 games | HOU vs DET@HOU | H | 0.5 | -200 | 0.8 | +0.3 | 4/5 | -0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 381 | MLB | CJ Abrams 10 games | WSH vs KCR@WSN | H | 0.5 | -210 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 382 | MLB | Connor Norby 10 games | MIA vs MIA@PHI | H | 0.5 | -111 | 0.6 | +0.1 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 383 | MLB | Davis Martin 10 games | CWS vs CHW@NYY | K | 4.5 | -225 | 5.4 | +0.9 | 4/5 | -2.1 | 46 | F | 4.0 | LOSS | WIN | |
| 384 | MLB | Edwin Arroyo 10 games | CIN vs NYM@CIN | H | 0.5 | -173 | 0.8 | +0.3 | 4/5 | +-0 | 46 | F | 1.0 | WIN | LOSS | |
| 385 | MLB | Esteury Ruiz 10 games | MIA vs MIA@PHI | H | 0.5 | -112 | 0.6 | +0.1 | 3/5 | +0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 386 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@STL | R | 0.5 | -115 | 0.6 | +0.1 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 387 | MLB | Francisco Alvarez 10 games | NYM vs NYM@CIN | H | 0.5 | -185 | 0.8 | +0.3 | 4/5 | -0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 388 | MLB | J.P. Crawford 10 games | SEA vs BAL@SEA | H | 0.5 | -190 | 1 | +0.5 | 3/5 | +0 | 46 | F | 1.0 | WIN | LOSS | |
| 389 | MLB | Jac Caglianone 10 games | KC vs KCR@WSN | H | 0.5 | -190 | 1 | +0.5 | 3/5 | -0.5 | 46 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Jackson Merrill 10 games | SD vs SDP@STL | H | 0.5 | -250 | 1 | +0.5 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 391 | MLB | Jacob Young 10 games | WSH vs KCR@WSN | H | 0.5 | -176 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 392 | MLB | Jake Bauers 10 games | MIL vs CLE@MIL | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | Jared Triolo 10 games | PIT vs PIT@Athlet | H | 0.5 | -159 | 0.8 | +0.3 | 4/5 | +-0 | 46 | F | 0.0 | LOSS | WIN | |
| 394 | MLB | Jimmy Crooks 9 games | STL vs SDP@STL | H | 0.5 | -115 | 0.6 | +0.1 | 3/5 | +0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | JJ Wetherholt 10 games | STL vs SDP@STL | H | 0.5 | -190 | 1.4 | +0.9 | 3/5 | +0.1 | 46 | F | 3.0 | WIN | LOSS | |
| 396 | MLB | Jordan Walker 10 games | STL vs SDP@STL | TB | 1.5 | +133 | 1.8 | +0.3 | 3/5 | -0.9 | 46 | F | 0.0 | LOSS | WIN | |
| 397 | MLB | Kumar Rocker 10 games | TEX vs MIN@TEX | K | 3.5 | -160 | 4.4 | +0.9 | 3/5 | -0.5 | 46 | F | 4.0 | WIN | LOSS | |
| 398 | MLB | Maikel Garcia 10 games | KC vs KCR@WSN | H | 0.5 | -235 | 1.2 | +0.7 | 3/5 | +0.4 | 46 | F | 0.0 | LOSS | WIN | |
| 399 | MLB | Matt Olson 10 games | ATL vs SFG@ATL | R | 0.5 | -115 | 0.8 | +0.3 | 3/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Michael Busch 10 games | CHC vs COL@CHC | R | 0.5 | -120 | 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.