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 | Pete Crow-Armstrong 10 games | CHC vs MIN@CHC | R | 0.5 | -125 | 0.6 | +0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | Randy Arozarena 10 games | SEA vs SFG@SEA | RBI | 0.5 | +243 | 0.6 | +0.1 | 1/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 653 | MLB | Rhys Hoskins 10 games | CLE vs PIT@CLE | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | Rhys Hoskins 10 games | CLE vs PIT@CLE | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 655 | MLB | Rhys Hoskins 10 games | CLE vs PIT@CLE | RBI | 0.5 | +211 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | Romy Gonzalez 10 games | BOS vs TBR@BOS | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Royce Lewis 10 games | MIN vs MIN@CHC | H | 1.5 | +260 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 658 | MLB | Royce Lewis 10 games | MIN vs MIN@CHC | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 659 | MLB | Royce Lewis 10 games | MIN vs MIN@CHC | R | 1.5 | +700 | 1 | -0.5 | 2/5 | +-0 | 37 | F | — | PENDING | PENDING | |
| 660 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CHC | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 661 | MLB | Ryan McMahon 10 games | NYY vs LAD@NYY | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 662 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | HR | 0.5 | +700 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 663 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | R | 1.5 | +1300 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 664 | MLB | Ryan Vilade 10 games | TB vs TBR@BOS | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 665 | MLB | Ryan Vilade 10 games | TB vs TBR@BOS | RBI | 0.5 | +178 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 666 | MLB | Ryan Waldschmidt 10 games | AZ vs STL@ARI | TB | 1.5 | +220 | 0.8 | -0.7 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 667 | MLB | Sam Antonacci 10 games | CWS vs CHW@TOR | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 669 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 670 | MLB | Shea Langeliers 10 games | ATH vs WSN@Athlet | HR | 0.5 | +260 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 671 | MLB | Shea Langeliers 10 games | ATH vs WSN@Athlet | RBI | 0.5 | +113 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 672 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYY | HR | 0.5 | +240 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 673 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYY | R | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.2 | 37 | F | — | PENDING | PENDING | |
| 674 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYY | RBI | 0.5 | +143 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | — | PENDING | PENDING | |
| 675 | MLB | Steven Kwan 10 games | CLE vs PIT@CLE | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 676 | MLB | Steven Kwan 10 games | CLE vs PIT@CLE | TB | 1.5 | +225 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | 4.0 | WIN | LOSS | |
| 677 | MLB | Taylor Ward 10 games | BAL vs BAL@HOU | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | TJ Rumfield 10 games | COL vs CIN@COL | H | 0.5 | -250 | 0.8 | +0.3 | 3/5 | -0.7 | 37 | F | 4.0 | WIN | LOSS | |
| 679 | MLB | Tomoyuki Sugano 7 games | COL vs CIN@COL | K | 3.5 | +135 | 3.4 | -0.1 | 2/5 | -0.3 | 37 | F | 3.0 | LOSS | WIN | |
| 680 | MLB | Trea Turner 10 games | PHI vs NYM@PHI | RBI | 0.5 | +179 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 681 | MLB | Ty France 10 games | SD vs SDP@KCR | H | 1.5 | +190 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 682 | MLB | Ty France 10 games | SD vs SDP@KCR | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 683 | MLB | Tyler Callihan 8 games | PIT vs PIT@CLE | R | 0.5 | +188 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 684 | MLB | Tyler Soderstrom 10 games | ATH vs WSN@Athlet | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 685 | MLB | Vaughn Grissom 10 games | LAA vs DET@LAA | RBI | 1.5 | +900 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 686 | MLB | Vinnie Pasquantino 10 games | KC vs SDP@KCR | RBI | 0.5 | +163 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 687 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs CHW@TOR | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 688 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs CHW@TOR | RBI | 1.5 | +550 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 689 | MLB | Willson Contreras 10 games | BOS vs TBR@BOS | HR | 0.5 | +300 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 690 | MLB | Willy Adames 10 games | SF vs SFG@SEA | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 691 | MLB | Willy Adames 10 games | SF vs SFG@SEA | R | 0.5 | +185 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 692 | MLB | Yainer Diaz 10 games | HOU vs BAL@HOU | HR | 0.5 | +750 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 693 | MLB | Yainer Diaz 10 games | HOU vs BAL@HOU | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +-0 | 37 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Yandy Diaz 10 games | TB vs TBR@BOS | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 695 | MLB | Yordan Alvarez 10 games | HOU vs BAL@HOU | HR | 0.5 | +300 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 696 | MLB | Zach Neto 10 games | LAA vs DET@LAA | H | 1.5 | +320 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Alec Burleson 10 games | STL vs STL@ARI | TB | 1.5 | -105 | 1 | -0.5 | 2/5 | -0.5 | 36 | F | 2.0 | WIN | LOSS | |
| 698 | MLB | Brandon Pfaadt 7 games | AZ vs STL@ARI | K | 2.5 | -400 | 2.8 | +0.3 | 2/5 | +1.3 | 36 | F | 3.0 | WIN | LOSS | |
| 699 | MLB | Bryce Harper 10 games | PHI vs NYM@PHI | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Dustin May 9 games | STL vs STL@ARI | K | 4.5 | +140 | 4.6 | +0.1 | 2/5 | -2 | 36 | F | 6.0 | 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.