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 | Patrick Bailey 10 games | CLE vs MIN@CLE | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 352 | MLB | Pavin Smith 10 games | AZ vs ARI@STL | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 353 | MLB | Petey Halpin 10 games | CLE vs MIN@CLE | HR | 0.5 | +700 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 355 | MLB | Riley Greene 10 games | DET vs KCR@DET | H | 1.5 | +205 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 356 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | R | 0.5 | +175 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 357 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | RBI | 0.5 | +247 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 358 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | H | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 359 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@STL | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 360 | MLB | Starling Marte 10 games | KC vs KCR@DET | RBI | 0.5 | +320 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 361 | MLB | Tim Tawa 10 games | AZ vs ARI@STL | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 362 | MLB | Tommy Troy 10 games | AZ vs ARI@STL | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 363 | MLB | Tommy Troy 10 games | AZ vs ARI@STL | RBI | 0.5 | +240 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 364 | MLB | Trevor Larnach 10 games | MIN vs MIN@CLE | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 365 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | HR | 0.5 | +1400 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 366 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | RBI | 0.5 | +352 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 367 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@DET | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 368 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | H | 1.5 | +190 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 369 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | RBI | 0.5 | +215 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 370 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | TB | 1.5 | +260 | 1.8 | +0.3 | 1/5 | -1.9 | 31 | F | — | PENDING | PENDING | |
| 371 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | R | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.5 | 31 | F | 0.0 | LOSS | WIN | |
| 372 | MLB | Luis Campusano 10 games | SD vs SDP@ATL | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.4 | 30 | F | — | PENDING | PENDING | |
| 373 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | H | 0.5 | -137 | 0.4 | -0.1 | 2/5 | -0.4 | 30 | F | 0.0 | LOSS | WIN | |
| 374 | MLB | Alec Burleson 10 games | STL vs ARI@STL | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 375 | MLB | Blaze Jordan 10 games | STL vs ARI@STL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 376 | MLB | Brewer Hicklen 5 games | ATL vs SDP@ATL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 377 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 378 | MLB | Chandler Simpson 10 games | TB vs TBR@TOR | HR | 0.5 | +2250 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 379 | MLB | Chase DeLauter 10 games | CLE vs MIN@CLE | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 380 | MLB | Colt Keith 10 games | DET vs KCR@DET | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 381 | MLB | Daniel Schneemann 10 games | CLE vs MIN@CLE | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 382 | MLB | Daulton Varsho 10 games | TOR vs TBR@TOR | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 383 | MLB | Daulton Varsho 10 games | TOR vs TBR@TOR | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | — | PENDING | PENDING | |
| 384 | MLB | Ernie Clement 10 games | TOR vs TBR@TOR | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 385 | MLB | Ernie Clement 10 games | TOR vs TBR@TOR | RBI | 0.5 | +217 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 386 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 387 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | R | 0.5 | +250 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 388 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | RBI | 0.5 | +369 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 389 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@STL | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 391 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 392 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | R | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 394 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | TB | 1.5 | +240 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 396 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@STL | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 397 | MLB | Isaac Collins 10 games | KC vs KCR@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 398 | MLB | Ivan Herrera 10 games | STL vs ARI@STL | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 399 | MLB | Ivan Herrera 10 games | STL vs ARI@STL | RBI | 0.5 | +239 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 400 | MLB | Jake Cronenworth 10 games | SD vs SDP@ATL | RBI | 0.5 | +421 | 0 | -0.5 | 0/5 | -0.2 | 29 | 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.