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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451 | MLB | Cole Young 10 games | SEA vs SFG@SEA | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 452 | MLB | Dillon Dingler 10 games | DET vs DET@LAA | H | 0.5 | -250 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 453 | MLB | Dominic Canzone 10 games | SEA vs SFG@SEA | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 454 | MLB | Drake Baldwin 10 games | ATL vs TEX@ATL | TB | 1.5 | +135 | 1.6 | +0.1 | 1/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 455 | MLB | Ezequiel Duran 10 games | TEX vs TEX@ATL | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 456 | MLB | Francisco Lindor 10 games | NYM vs NYM@PHI | H | 0.5 | -198 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 457 | MLB | Francisco Lindor 10 games | NYM vs NYM@PHI | TB | 1.5 | +145 | 1.6 | +0.1 | 1/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 458 | MLB | Freddy Fermin 10 games | SD vs SDP@KCR | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 459 | MLB | Freddy Fermin 10 games | SD vs SDP@KCR | TB | 1.5 | +140 | 1 | -0.5 | 2/5 | +0.8 | 40 | F | 2.0 | WIN | LOSS | |
| 460 | MLB | Gavin Williams 9 games | CLE vs PIT@CLE | K | 7.5 | +122 | 7 | -0.5 | 2/5 | +0.9 | 40 | F | 11.0 | WIN | LOSS | |
| 461 | MLB | Ildemaro Vargas 10 games | AZ vs STL@ARI | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | — | PENDING | PENDING | |
| 462 | MLB | Isaac Collins 10 games | KC vs SDP@KCR | H | 0.5 | -160 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 463 | MLB | J.P. Crawford 10 games | SEA vs SFG@SEA | RBI | 0.5 | +300 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 464 | MLB | Jared Jones 8 games | PIT vs PIT@CLE | K | 5.5 | +126 | 5 | -0.5 | 2/5 | +1.1 | 40 | F | 9.0 | WIN | LOSS | |
| 465 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 466 | MLB | Joc Pederson 10 games | TEX vs TEX@ATL | TB | 1.5 | +134 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 5.0 | WIN | LOSS | |
| 467 | MLB | Joey Ortiz 10 games | MIL vs MIA@MIL | H | 1.5 | +400 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 468 | MLB | Jonah Heim 10 games | ATH vs WSN@Athlet | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 469 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | H | 0.5 | -177 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 470 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 471 | MLB | Juan Soto 10 games | NYM vs NYM@PHI | H | 0.5 | -186 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 472 | MLB | Kahlil Watson 10 games | CLE vs PIT@CLE | TB | 1.5 | +200 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 473 | MLB | Keibert Ruiz 10 games | WSH vs WSN@Athlet | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 474 | MLB | Kyle Schwarber 10 games | PHI vs NYM@PHI | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 475 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | R | 1.5 | +1000 | 0.8 | -0.7 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 476 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | — | PENDING | PENDING | |
| 477 | MLB | LaMonte Wade Jr. 10 games | HOU vs BAL@HOU | RBI | 0.5 | +275 | 0.8 | +0.3 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 478 | MLB | Lars Nootbaar 10 games | STL vs STL@ARI | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 479 | MLB | Masyn Winn 10 games | STL vs STL@ARI | RBI | 0.5 | +204 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 1.0 | WIN | LOSS | |
| 480 | MLB | Matt Olson 10 games | ATL vs TEX@ATL | H | 0.5 | -215 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 481 | MLB | Matt Vierling 10 games | DET vs DET@LAA | H | 1.5 | +320 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 482 | MLB | Matt Vierling 10 games | DET vs DET@LAA | TB | 1.5 | +175 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 483 | MLB | Max Muncy 10 games | LAD vs LAD@NYY | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | — | PENDING | PENDING | |
| 484 | MLB | Michael Busch 10 games | CHC vs MIN@CHC | H | 1.5 | +300 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 1.0 | LOSS | WIN | |
| 485 | MLB | Miguel Rojas 9 games | LAD vs LAD@NYY | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | — | PENDING | PENDING | |
| 486 | MLB | Miguel Vargas 10 games | CWS vs CHW@TOR | H | 1.5 | +230 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 487 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | H | 0.5 | -217 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | — | PENDING | PENDING | |
| 488 | MLB | Nick Fortes 10 games | TB vs TBR@BOS | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 489 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Nolan Arenado 10 games | AZ vs STL@ARI | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 491 | MLB | Paul Goldschmidt 10 games | NYY vs LAD@NYY | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | — | PENDING | PENDING | |
| 492 | MLB | Pete Alonso 10 games | BAL vs BAL@HOU | H | 0.5 | -166 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 0.0 | LOSS | WIN | |
| 493 | MLB | Pete Alonso 10 games | BAL vs BAL@HOU | TB | 1.5 | +130 | 1.6 | +0.1 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 494 | MLB | Riley Greene 10 games | DET vs DET@LAA | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 495 | MLB | Salvador Perez 10 games | KC vs SDP@KCR | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 496 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Shane Drohan 10 games | MIL vs MIA@MIL | K | 5.5 | +175 | 4.6 | -0.9 | 2/5 | +0.5 | 40 | F | 9.0 | WIN | LOSS | |
| 498 | MLB | Shea Langeliers 10 games | ATH vs WSN@Athlet | H | 0.5 | -320 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 499 | MLB | Shea Langeliers 10 games | ATH vs WSN@Athlet | TB | 2.5 | +150 | 1.8 | -0.7 | 2/5 | +1.4 | 40 | F | 2.0 | LOSS | WIN | |
| 500 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYY | H | 0.5 | -230 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | — | PENDING | PENDING |
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.