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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | MLB | Henry Bolte 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +328 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | Hunter Goodman 10 games | COL vs SDP@COL | H | 1.5 | +230 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 653 | MLB | Hunter Goodman 10 games | COL vs SDP@COL | HR | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 654 | MLB | Hunter Goodman 10 games | COL vs SDP@COL | RBI | 1.5 | +340 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 655 | MLB | Isaac Paredes 10 games | HOU vs KCR@HOU | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | J.T. Realmuto 10 games | PHI vs PHI@WSN | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Jac Caglianone 10 games | KC vs KCR@HOU | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 658 | MLB | Jackson Holliday 10 games | BAL vs BAL@NYM | H | 1.5 | +280 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 659 | MLB | Jackson Holliday 10 games | BAL vs BAL@NYM | RBI | 0.5 | +302 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 660 | MLB | Jake Burger 10 games | TEX vs BOS@TEX | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 661 | MLB | Jake Burger 10 games | TEX vs BOS@TEX | RBI | 0.5 | +197 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 662 | MLB | Jake Rogers 10 games | CWS vs CHW@CLE | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 663 | MLB | Jakob Marsee 10 games | MIA vs MIA@ARI | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 664 | MLB | Jakob Marsee 10 games | MIA vs MIA@ARI | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 665 | MLB | James Wood 10 games | WSH vs PHI@WSN | H | 1.5 | +300 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 666 | MLB | James Wood 10 games | WSH vs PHI@WSN | RBI | 0.5 | +259 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 667 | MLB | Jared Young 10 games | NYM vs BAL@NYM | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Jared Young 10 games | NYM vs BAL@NYM | RBI | 0.5 | +203 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 669 | MLB | Javier Sanoja 10 games | MIA vs MIA@ARI | HR | 0.5 | +1300 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 670 | MLB | Jeff McNeil 10 games | OAK vs ATHLETICS@ | H | 1.5 | +240 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 671 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@NYM | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 672 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@NYM | RBI | 0.5 | +280 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 673 | MLB | Jeremy Pena 10 games | HOU vs KCR@HOU | H | 1.5 | +230 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 674 | MLB | JJ Bleday 10 games | CIN vs LAD@CIN | RBI | 0.5 | +223 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 675 | MLB | Jo Adell 10 games | CLE vs CHW@CLE | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 676 | MLB | Jo Adell 10 games | CLE vs CHW@CLE | RBI | 0.5 | +140 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 677 | MLB | Joe Mack 10 games | MIA vs MIA@ARI | H | 1.5 | +500 | 1 | -0.5 | 1/5 | +-0 | 32 | F | — | PENDING | PENDING | |
| 678 | MLB | Joe Mack 10 games | MIA vs MIA@ARI | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 679 | MLB | Joe Mack 10 games | MIA vs MIA@ARI | RBI | 1.5 | +900 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 680 | MLB | Joey Ortiz 10 games | MIL vs MIL@PIT | RBI | 0.5 | +214 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 681 | MLB | Jonah Cox 10 games | SF vs SFG@STL | H | 1.5 | +240 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 682 | MLB | Jonathan Aranda 10 games | TB vs ATHLETICS@ | H | 1.5 | +240 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 683 | MLB | Jonathan Aranda 10 games | TB vs ATHLETICS@ | HR | 0.5 | +550 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | Jonathan Aranda 10 games | TB vs ATHLETICS@ | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 685 | MLB | Jordan Lawlar 10 games | AZ vs MIA@ARI | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Jordan Walker 10 games | STL vs SFG@STL | H | 1.5 | +230 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 687 | MLB | Jorge Mateo 10 games | TB vs ATHLETICS@ | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 688 | MLB | Jorge Mateo 10 games | TB vs ATHLETICS@ | RBI | 0.5 | +231 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 689 | MLB | Jose Altuve 10 games | HOU vs KCR@HOU | H | 1.5 | +260 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 690 | MLB | Josh Lowe 10 games | LAA vs SEA@LAA | H | 0.5 | +103 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 2.0 | WIN | LOSS | |
| 691 | MLB | Josh Naylor 10 games | SEA vs SEA@LAA | RBI | 0.5 | +208 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 692 | MLB | Josh Smith 10 games | TOR vs DET@TOR | H | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 693 | MLB | Josh Smith 10 games | TOR vs DET@TOR | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Josh Smith 10 games | TOR vs DET@TOR | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 695 | MLB | Joshua Baez 10 games | STL vs SFG@STL | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 696 | MLB | Joshua Baez 10 games | STL vs SFG@STL | RBI | 0.5 | +240 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 697 | MLB | Josue De Paula 4 games | LAD vs LAD@CIN | H | 1.5 | +280 | 0.5 | -1 | 1/4 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 698 | MLB | Josue De Paula 4 games | LAD vs LAD@CIN | HR | 0.5 | +575 | 0.3 | -0.3 | 1/4 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 699 | MLB | Josue De Paula 4 games | LAD vs LAD@CIN | RBI | 1.5 | +550 | 0.8 | -0.8 | 1/4 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Juan Soto 10 games | NYM vs BAL@NYM | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS |
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.