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 | Jonatan Clase 7 games | TOR vs CHW@TOR | TB | 1.5 | +225 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 602 | MLB | Jorge Soler 10 games | LAA vs DET@LAA | TB | 1.5 | +180 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 603 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +-0 | 37 | F | 0.0 | LOSS | WIN | |
| 604 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 605 | MLB | Jose Caballero 10 games | NYY vs LAD@NYY | RBI | 0.5 | +293 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 606 | MLB | Josh Kuroda-Grauer 10 games | vs WSN@Athlet | H | 1.5 | +195 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 607 | MLB | Josh Lowe 10 games | LAA vs DET@LAA | H | 0.5 | +104 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 608 | MLB | Josh Lowe 10 games | LAA vs DET@LAA | RBI | 0.5 | +459 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 609 | MLB | Josh Naylor 10 games | SEA vs SFG@SEA | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 610 | MLB | Jung Hoo Lee 10 games | SF vs SFG@SEA | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 611 | MLB | Junior Caminero 10 games | TB vs TBR@BOS | H | 1.5 | +180 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 612 | MLB | Junior Caminero 10 games | TB vs TBR@BOS | HR | 0.5 | +240 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 613 | MLB | Kahlil Watson 10 games | CLE vs PIT@CLE | R | 0.5 | +210 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | H | 1.5 | +320 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 615 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 616 | MLB | Keibert Ruiz 10 games | WSH vs WSN@Athlet | RBI | 0.5 | +190 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 617 | MLB | Kyle Higashioka 9 games | TEX vs TEX@ATL | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 618 | MLB | Kyle Higashioka 9 games | TEX vs TEX@ATL | RBI | 0.5 | +237 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 619 | MLB | Kyle Schwarber 10 games | PHI vs NYM@PHI | TB | 1.5 | +115 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 4.0 | WIN | LOSS | |
| 620 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | TB | 1.5 | +170 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 621 | MLB | Lane Thomas 10 games | KC vs SDP@KCR | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 622 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | RBI | 0.5 | +266 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 623 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | TB | 1.5 | +190 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 624 | MLB | Luis Arraez 10 games | SF vs SFG@SEA | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 625 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | H | 1.5 | +300 | 1 | -0.5 | 2/5 | +0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 626 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 627 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | TB | 1.5 | +170 | 1 | -0.5 | 2/5 | +-0 | 37 | F | 1.0 | LOSS | WIN | |
| 628 | MLB | Matt Vierling 10 games | DET vs DET@LAA | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 629 | MLB | Michael Busch 10 games | CHC vs MIN@CHC | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 630 | MLB | Michael Busch 10 games | CHC vs MIN@CHC | RBI | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 631 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 632 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | RBI | 0.5 | +175 | 0.6 | +0.1 | 1/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 633 | MLB | Michael Massey 10 games | KC vs SDP@KCR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 634 | MLB | Michael Massey 10 games | KC vs SDP@KCR | TB | 1.5 | +145 | 1.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 635 | MLB | Miguel Rojas 9 games | LAD vs LAD@NYY | RBI | 0.5 | +260 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | — | PENDING | PENDING | |
| 636 | MLB | Miguel Vargas 10 games | CWS vs CHW@TOR | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 637 | MLB | Mike Trout 10 games | LAA vs DET@LAA | H | 1.5 | +380 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 638 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 639 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | RBI | 0.5 | +186 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 640 | MLB | Nick Fortes 10 games | TB vs TBR@BOS | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | Nick Gonzales 10 games | PIT vs PIT@CLE | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | +-0 | 37 | F | 1.0 | WIN | LOSS | |
| 642 | MLB | Nick Loftin 10 games | KC vs SDP@KCR | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | -0.8 | 37 | F | 0.0 | LOSS | WIN | |
| 643 | MLB | Nick Loftin 10 games | KC vs SDP@KCR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 644 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | RBI | 0.5 | +275 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 645 | MLB | Nico Hoerner 10 games | CHC vs MIN@CHC | TB | 1.5 | +145 | 0.8 | -0.7 | 2/5 | -0.2 | 37 | F | 4.0 | WIN | LOSS | |
| 646 | MLB | Nolan Arenado 10 games | AZ vs STL@ARI | HR | 0.5 | +800 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Nolan Arenado 10 games | AZ vs STL@ARI | R | 1.5 | +1300 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 648 | MLB | Oswald Peraza 10 games | LAA vs DET@LAA | H | 0.5 | +100 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 649 | MLB | Ozzie Albies 10 games | ATL vs TEX@ATL | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 650 | MLB | Ozzie Albies 10 games | ATL vs TEX@ATL | TB | 1.5 | +108 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | 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.