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 | Alex Bregman 10 games | CHC vs CHC@CIN | H | 0.5 | -235 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 1.0 | WIN | LOSS | |
| 602 | MLB | Bryson Stott 10 games | PHI vs PHI@DET | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 2.0 | WIN | LOSS | |
| 603 | MLB | Cole Young 10 games | SEA vs SEA@TBR | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.5 | 30 | F | 1.0 | WIN | LOSS | |
| 604 | MLB | Eli White 10 games | ATL vs ATL@STL | H | 0.5 | -147 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 1.0 | WIN | LOSS | |
| 605 | MLB | Ezequiel Tovar 10 games | COL vs COL@SFG | H | 0.5 | -147 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | 0.0 | LOSS | WIN | |
| 606 | MLB | Lars Nootbaar 10 games | STL vs ATL@STL | H | 0.5 | -142 | 0.4 | -0.1 | 2/5 | -0.3 | 30 | F | 1.0 | WIN | LOSS | |
| 607 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@MIN | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 0.0 | LOSS | WIN | |
| 608 | MLB | Masyn Winn 10 games | STL vs ATL@STL | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | -0.6 | 30 | F | 0.0 | LOSS | WIN | |
| 609 | MLB | Samuel Basallo 10 games | BAL vs KCR@BAL | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.4 | 30 | F | 1.0 | WIN | LOSS | |
| 610 | MLB | Trea Turner 10 games | PHI vs PHI@DET | H | 0.5 | -250 | 0.8 | +0.3 | 2/5 | -0.9 | 30 | F | 0.0 | LOSS | WIN | |
| 611 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 612 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | RBI | 0.5 | +186 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 613 | MLB | Alan Roden 3 games | MIN vs LAA@MIN | HR | 0.5 | +900 | 0 | -0.5 | 0/3 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 615 | MLB | Alejandro Kirk 10 games | TOR vs TOR@SDP | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 616 | MLB | Alex Bregman 10 games | CHC vs CHC@CIN | H | 1.5 | +197 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 1.0 | LOSS | WIN | |
| 617 | MLB | Alex Bregman 10 games | CHC vs CHC@CIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 618 | MLB | Andres Gimenez 10 games | TOR vs TOR@SDP | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 619 | MLB | Austin Riley 10 games | ATL vs ATL@STL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 620 | MLB | Ben Malgeri 10 games | DET vs PHI@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 621 | MLB | Bo Bichette 10 games | NYM vs BOS@NYM | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 622 | MLB | Braden Montgomery 10 games | CWS vs ATHLETICS@ | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 623 | MLB | Braden Montgomery 10 games | CWS vs ATHLETICS@ | RBI | 0.5 | +231 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 624 | MLB | Brandon Marsh 10 games | PHI vs PHI@DET | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 625 | MLB | Brandon Marsh 10 games | PHI vs PHI@DET | RBI | 0.5 | +198 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 626 | MLB | Brooks Lee 10 games | MIN vs LAA@MIN | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 627 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 628 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | RBI | 0.5 | +189 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 629 | MLB | Bryson Stott 10 games | PHI vs PHI@DET | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 630 | MLB | Cal Raleigh 10 games | SEA vs SEA@TBR | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 631 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 632 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | RBI | 0.5 | +251 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 633 | MLB | Carlos Narvaez 10 games | BOS vs BOS@NYM | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 634 | MLB | Carter Jensen 10 games | KC vs KCR@BAL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 635 | MLB | Chandler Simpson 10 games | TB vs SEA@TBR | HR | 0.5 | +1600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 636 | MLB | Chase Meidroth 10 games | CWS vs ATHLETICS@ | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 637 | MLB | Cody Bellinger 10 games | NYY vs NYY@WSN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 638 | MLB | Colby Thomas 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 639 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 640 | MLB | Colson Montgomery 10 games | CWS vs ATHLETICS@ | RBI | 0.5 | +164 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | Colt Emerson 10 games | SEA vs SEA@TBR | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 642 | MLB | Colt Emerson 10 games | SEA vs SEA@TBR | RBI | 0.5 | +320 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 643 | MLB | Cooper Pratt 10 games | MIL vs MIL@PIT | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 644 | MLB | Corbin Carroll 10 games | AZ vs ARI@LAD | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 645 | MLB | Corbin Carroll 10 games | AZ vs ARI@LAD | RBI | 0.5 | +197 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 646 | MLB | Dalton Rushing 10 games | LAD vs ARI@LAD | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 648 | MLB | Dansby Swanson 10 games | CHC vs CHC@CIN | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 649 | MLB | Dansby Swanson 10 games | CHC vs CHC@CIN | RBI | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 650 | MLB | Daulton Varsho 10 games | TOR vs TOR@SDP | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 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.