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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 601 | MLB | Willson Contreras 10 games | BOS vs TBR@BOS | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 602 | MLB | Willy Adames 10 games | SF vs SFG@SEA | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 603 | MLB | Willy Adames 10 games | SF vs SFG@SEA | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 604 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | RBI | 0.5 | +171 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 605 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 606 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | +0.5 | 36 | F | 2.0 | WIN | LOSS | |
| 607 | MLB | Hunter Goodman 10 games | COL vs CIN@COL | TB | 1.5 | -110 | 1 | -0.5 | 2/5 | -0.3 | 36 | F | 12.0 | WIN | LOSS | |
| 608 | MLB | Ivan Herrera 10 games | STL vs STL@ARI | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0.1 | 36 | F | 1.0 | WIN | LOSS | |
| 609 | MLB | Jac Caglianone 10 games | KC vs SDP@KCR | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.5 | 36 | F | 2.0 | WIN | LOSS | |
| 610 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | H | 0.5 | -101 | 0.4 | -0.1 | 2/5 | -0.3 | 36 | F | 0.0 | LOSS | WIN | |
| 611 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | TB | 1.5 | +143 | 1.6 | +0.1 | 2/5 | -1.5 | 36 | F | 1.0 | LOSS | WIN | |
| 612 | MLB | Paul Skenes 10 games | PIT vs PIT@CLE | K | 6.5 | -135 | 6.2 | -0.3 | 3/5 | -1.4 | 36 | F | 8.0 | WIN | LOSS | |
| 613 | MLB | Randy Arozarena 10 games | SEA vs SFG@SEA | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.3 | 36 | F | 1.0 | WIN | LOSS | |
| 614 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CHC | H | 0.5 | -106 | 0.4 | -0.1 | 2/5 | +0.3 | 36 | F | 1.0 | WIN | LOSS | |
| 615 | MLB | Weston Wilson 10 games | SEA vs SFG@SEA | H | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 1.0 | WIN | LOSS | |
| 616 | MLB | Blaze Jordan 10 games | STL vs STL@ARI | TB | 1.5 | +145 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 5.0 | WIN | LOSS | |
| 617 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | TB | 1.5 | +145 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 618 | MLB | Corbin Carroll 10 games | AZ vs STL@ARI | TB | 1.5 | +103 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 619 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | TB | 1.5 | +175 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 620 | MLB | Daylen Lile 10 games | WSH vs WSN@Athlet | TB | 1.5 | +125 | 1.2 | -0.3 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 621 | MLB | Denzer Guzman 10 games | LAA vs DET@LAA | TB | 1.5 | +195 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 622 | MLB | Francisco Lindor 10 games | NYM vs NYM@PHI | TB | 1.5 | +127 | 1.4 | -0.1 | 1/5 | +0.9 | 35 | F | 7.0 | WIN | LOSS | |
| 623 | MLB | George Springer 10 games | TOR vs CHW@TOR | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | — | PENDING | PENDING | |
| 624 | MLB | Henry Davis 10 games | PIT vs PIT@CLE | TB | 1.5 | +220 | 1.4 | -0.1 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 625 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +-0 | 35 | F | 0.0 | LOSS | WIN | |
| 626 | MLB | Sam Antonacci 10 games | CWS vs CHW@TOR | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 627 | MLB | Shane McClanahan 8 games | TB vs TBR@BOS | K | 4.5 | -150 | 4.6 | +0.1 | 2/5 | +-0 | 35 | F | 3.0 | LOSS | WIN | |
| 628 | MLB | Shota Imanaga 9 games | CHC vs MIN@CHC | K | 5.5 | +110 | 4.8 | -0.7 | 1/5 | +0.8 | 35 | F | 4.0 | LOSS | WIN | |
| 629 | MLB | Spencer Torkelson 10 games | DET vs DET@LAA | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 630 | MLB | Travis Bazzana 10 games | CLE vs PIT@CLE | TB | 1.5 | +165 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 631 | MLB | Alan Roden 7 games | MIN vs MIN@CHC | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | -0.2 | 34 | F | 0.0 | LOSS | WIN | |
| 632 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | TB | 1.5 | +175 | 1.2 | -0.3 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 633 | MLB | Andre Pallante 9 games | STL vs STL@ARI | K | 3.5 | +128 | 3.2 | -0.3 | 2/5 | -0.9 | 34 | F | 3.0 | LOSS | WIN | |
| 634 | MLB | Caleb Durbin 10 games | BOS vs TBR@BOS | TB | 1.5 | +157 | 1 | -0.5 | 2/5 | -0.5 | 34 | F | 1.0 | LOSS | WIN | |
| 635 | MLB | Casey Schmitt 10 games | SF vs SFG@SEA | RBI | 0.5 | +190 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 636 | MLB | Chandler Simpson 10 games | TB vs TBR@BOS | TB | 1.5 | +140 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 3.0 | WIN | LOSS | |
| 637 | MLB | Cooper Pratt 10 games | MIL vs MIA@MIL | TB | 1.5 | +210 | 1 | -0.5 | 2/5 | -1 | 34 | F | — | PENDING | PENDING | |
| 638 | MLB | Ernie Clement 10 games | TOR vs CHW@TOR | TB | 1.5 | +130 | 1.4 | -0.1 | 2/5 | -0.9 | 34 | F | 1.0 | LOSS | WIN | |
| 639 | MLB | Esteury Ruiz 10 games | MIA vs MIA@MIL | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | +0 | 34 | F | 1.0 | WIN | LOSS | |
| 640 | MLB | Ezequiel Duran 10 games | TEX vs TEX@ATL | RBI | 0.5 | +211 | 0.6 | +0.1 | 1/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@KCR | R | 0.5 | -120 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | 3.0 | WIN | LOSS | |
| 642 | MLB | Heliot Ramos 10 games | SF vs SFG@SEA | TB | 1.5 | +150 | 1.2 | -0.3 | 2/5 | -0.5 | 34 | F | 1.0 | LOSS | WIN | |
| 643 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | RBI | 0.5 | +170 | 0.8 | +0.3 | 1/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 644 | MLB | Jonatan Clase 8 games | TOR vs CHW@TOR | TB | 1.5 | +250 | 1.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 645 | MLB | Jonathan Aranda 10 games | TB vs TBR@BOS | H | 1.5 | +180 | 1.4 | -0.1 | 2/5 | -0.9 | 34 | F | 1.0 | LOSS | WIN | |
| 646 | MLB | Jorge Soler 10 games | LAA vs DET@LAA | TB | 1.5 | +140 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Justin Crawford 10 games | PHI vs NYM@PHI | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 648 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 649 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | RBI | 0.5 | +175 | 0.6 | +0.1 | 1/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 650 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | TB | 1.5 | +150 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | 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.