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 | Jackson Merrill 10 games | SD vs SDP@KCR | TB | 1.5 | -110 | 1 | -0.5 | 2/5 | -0.4 | 36 | F | 0.0 | LOSS | WIN | |
| 602 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.5 | 36 | F | 0.0 | LOSS | WIN | |
| 603 | MLB | Kyle Karros 10 games | COL vs CIN@COL | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.4 | 36 | F | 1.0 | WIN | LOSS | |
| 604 | MLB | Sal Frelick 10 games | MIL vs MIA@MIL | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | +0.6 | 36 | F | 0.0 | LOSS | WIN | |
| 605 | MLB | Anthony Kay 10 games | CWS vs CHW@TOR | K | 3.5 | -110 | 3.6 | +0.1 | 2/5 | -1.5 | 35 | F | 5.0 | WIN | LOSS | |
| 606 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | TB | 1.5 | +140 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 607 | MLB | Braden Montgomery 10 games | CWS vs CHW@TOR | TB | 1.5 | +150 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | 3.0 | WIN | LOSS | |
| 608 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | TB | 1.5 | +141 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 609 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | H | 0.5 | -149 | 0.6 | +0.1 | 2/5 | -0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 610 | MLB | Dylan Beavers 9 games | BAL vs BAL@HOU | TB | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 611 | MLB | Hao-Yu Lee 10 games | DET vs DET@LAA | H | 0.5 | -149 | 0.6 | +0.1 | 2/5 | +0.3 | 35 | F | 1.0 | WIN | LOSS | |
| 612 | MLB | Henry Davis 10 games | PIT vs PIT@CLE | TB | 1.5 | +220 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 613 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | TB | 1.5 | +150 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Jake Mangum 10 games | PIT vs PIT@CLE | H | 1.5 | +200 | 1.4 | -0.1 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 615 | MLB | Jared Triolo 10 games | PIT vs PIT@CLE | H | 0.5 | -140 | 0.8 | +0.3 | 2/5 | +0.2 | 35 | F | — | PENDING | PENDING | |
| 616 | MLB | Justin Foscue 10 games | TEX vs TEX@ATL | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.5 | 35 | F | 1.0 | WIN | LOSS | |
| 617 | MLB | Miguel Andujar 10 games | SD vs SDP@KCR | TB | 1.5 | +105 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 6.0 | WIN | LOSS | |
| 618 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | TB | 1.5 | +120 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 619 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | TB | 1.5 | +140 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 620 | MLB | Curtis Mead 10 games | WSH vs WSN@Athlet | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.1 | 34 | F | 4.0 | WIN | LOSS | |
| 621 | MLB | Garrett Mitchell 10 games | MIL vs MIA@MIL | TB | 1.5 | +145 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 2.0 | WIN | LOSS | |
| 622 | MLB | Jake McCarthy 10 games | COL vs CIN@COL | RBI | 0.5 | +149 | 0.4 | -0.1 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 623 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | TB | 1.5 | +200 | 1 | -0.5 | 2/5 | -0.7 | 34 | F | 1.0 | LOSS | WIN | |
| 624 | MLB | JJ Wetherholt 10 games | STL vs STL@ARI | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.5 | 34 | F | 1.0 | WIN | LOSS | |
| 625 | MLB | Jo Adell 10 games | LAA vs DET@LAA | TB | 1.5 | +150 | 1.8 | +0.3 | 1/5 | -1.4 | 34 | F | 0.0 | LOSS | WIN | |
| 626 | MLB | Joe Mack 10 games | MIA vs MIA@MIL | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.1 | 34 | F | 0.0 | LOSS | WIN | |
| 627 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | RBI | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 628 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | RBI | 0.5 | +175 | 0.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 629 | MLB | Landen Roupp 9 games | SF vs SFG@SEA | K | 5.5 | -118 | 5.4 | -0.1 | 2/5 | -0.1 | 34 | F | 2.0 | LOSS | WIN | |
| 630 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | TB | 1.5 | +145 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 1.0 | LOSS | WIN | |
| 631 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | TB | 1.5 | +160 | 1 | -0.5 | 2/5 | -0.9 | 34 | F | 2.0 | WIN | LOSS | |
| 632 | MLB | Manny Machado 10 games | SD vs SDP@KCR | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.2 | 34 | F | 0.0 | LOSS | WIN | |
| 633 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.8 | 34 | F | 1.0 | WIN | LOSS | |
| 634 | MLB | Munetaka Murakami 10 games | AL vs CHW@TOR | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | 1.0 | WIN | LOSS | |
| 635 | MLB | Nick Gonzales 10 games | PIT vs PIT@CLE | TB | 1.5 | +150 | 1 | -0.5 | 2/5 | -1.2 | 34 | F | — | PENDING | PENDING | |
| 636 | MLB | Noelvi Marte 10 games | CIN vs CIN@COL | RBI | 0.5 | +174 | 0.8 | +0.3 | 1/5 | -0.7 | 34 | F | — | PENDING | PENDING | |
| 637 | MLB | Ozzie Albies 10 games | NL vs TEX@ATL | TB | 1.5 | +120 | 0.8 | -0.7 | 2/5 | -0.7 | 34 | F | 2.0 | WIN | LOSS | |
| 638 | MLB | Spencer Steer 10 games | CIN vs CIN@COL | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 2.0 | WIN | LOSS | |
| 639 | MLB | Tyler Soderstrom 10 games | ATH vs WSN@Athlet | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 1.0 | WIN | LOSS | |
| 640 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | RBI | 0.5 | +220 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 641 | MLB | Alan Roden 5 games | MIN vs MIN@CHC | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 0.0 | LOSS | WIN | |
| 642 | MLB | Alex Bregman 10 games | CHC vs MIN@CHC | H | 0.5 | -235 | 0.8 | +0.3 | 2/5 | +0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 643 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | H | 0.5 | -229 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 644 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 645 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | -0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 646 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Matt Vierling 10 games | DET vs DET@LAA | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | +0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 648 | MLB | Noelvi Marte 10 games | CIN vs CIN@COL | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | — | PENDING | PENDING | |
| 649 | MLB | Pete Crow-Armstrong 10 games | NL vs MIN@CHC | R | 0.5 | -160 | 0.6 | +0.1 | 2/5 | +-0 | 33 | F | 1.0 | WIN | LOSS | |
| 650 | MLB | TJ Friedl 10 games | CIN vs CIN@COL | H | 0.5 | -220 | 0.6 | +0.1 | 2/5 | +0.4 | 33 | 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.