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 | Michael Massey 10 games | KC vs KCR@LAD | R | 0.5 | +242 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 602 | MLB | Miguel Vargas 10 games | CWS vs CIN@CHW | TB | 1.5 | +125 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | 4.0 | WIN | LOSS | |
| 603 | MLB | Mike Trout 10 games | LAA vs TEX@LAA | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 604 | MLB | Mike Trout 10 games | LAA vs TEX@LAA | RBI | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 605 | MLB | Mike Yastrzemski 10 games | ATL vs NYM@ATL | TB | 1.5 | +210 | 0.8 | -0.7 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 606 | MLB | Mookie Betts 10 games | LAD vs KCR@LAD | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 607 | MLB | Mookie Betts 10 games | LAD vs KCR@LAD | TB | 1.5 | +135 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 7.0 | WIN | LOSS | |
| 608 | MLB | Munetaka Murakami 10 games | CWS vs CIN@CHW | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 609 | MLB | Munetaka Murakami 10 games | CWS vs CIN@CHW | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 610 | MLB | Myles Straw 10 games | TOR vs BOS@TOR | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 611 | MLB | Nathan Church 10 games | STL vs PHI@STL | RBI | 0.5 | +335 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 612 | MLB | Nick Gonzales 10 games | PIT vs PIT@MIA | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 613 | MLB | Nick Gonzales 10 games | PIT vs PIT@MIA | RBI | 0.5 | +229 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 614 | MLB | Nick Martinez 10 games | TB vs TBR@Athlet | K | 3.5 | +130 | 2.4 | -1.1 | 2/5 | +0.7 | 37 | F | 5.0 | WIN | LOSS | |
| 615 | MLB | Nicky Lopez 10 games | TEX vs TEX@LAA | R | 0.5 | +177 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 616 | MLB | Nicky Lopez 10 games | TEX vs TEX@LAA | RBI | 0.5 | +280 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 617 | MLB | Nicky Lopez 10 games | TEX vs TEX@LAA | TB | 1.5 | +240 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 618 | MLB | Nico Hoerner 10 games | CHC vs CHC@WSN | H | 1.5 | +190 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 619 | MLB | Nico Hoerner 10 games | CHC vs CHC@WSN | RBI | 0.5 | +187 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 620 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 621 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 622 | MLB | Osleivis Basabe 10 games | SF vs HOU@SFG | H | 0.5 | -157 | 0.8 | +0.3 | 3/5 | -0.6 | 37 | F | 2.0 | WIN | LOSS | |
| 623 | MLB | Osleivis Basabe 10 games | SF vs HOU@SFG | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 624 | MLB | Otto Lopez 10 games | MIA vs PIT@MIA | H | 1.5 | +260 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 625 | MLB | Otto Lopez 10 games | MIA vs PIT@MIA | TB | 1.5 | +140 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 626 | MLB | Patrick Bailey 10 games | CLE vs CLE@DET | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 627 | MLB | Patrick Bailey 10 games | CLE vs CLE@DET | RBI | 0.5 | +263 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 628 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@WSN | H | 1.5 | +182 | 1.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 629 | MLB | Randal Grichuk 10 games | CWS vs CIN@CHW | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 630 | MLB | Ryan Jeffers 10 games | MIN vs BAL@MIN | TB | 1.5 | +125 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 631 | MLB | Salvador Perez 10 games | KC vs KCR@LAD | RBI | 0.5 | +190 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 632 | MLB | Shohei Ohtani 10 games | LAD vs KCR@LAD | H | 1.5 | +190 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 633 | MLB | Shota Imanaga 9 games | CHC vs CHC@WSN | K | 5.5 | +102 | 5 | -0.5 | 2/5 | +0.4 | 37 | F | 5.0 | LOSS | WIN | |
| 634 | MLB | Spencer Torkelson 10 games | DET vs CLE@DET | H | 1.5 | +360 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 635 | MLB | Spencer Torkelson 10 games | DET vs CLE@DET | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 636 | MLB | Spencer Torkelson 10 games | DET vs CLE@DET | TB | 1.5 | +155 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 637 | MLB | Starling Marte 10 games | KC vs KCR@LAD | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 638 | MLB | Taylor Walls 10 games | TB vs TBR@Athlet | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 639 | MLB | TJ Rumfield 10 games | COL vs COL@ARI | TB | 1.5 | +150 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 640 | MLB | Travis Bazzana 10 games | CLE vs CLE@DET | H | 0.5 | -154 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 1.0 | WIN | LOSS | |
| 641 | MLB | Travis Bazzana 10 games | CLE vs CLE@DET | RBI | 0.5 | +255 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 642 | MLB | Trent Grisham 10 games | NYY vs SEA@NYY | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 643 | MLB | Ty France 10 games | SD vs MIL@SDP | RBI | 0.5 | +222 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 644 | MLB | Tyler Soderstrom 10 games | ATH vs TBR@Athlet | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 645 | MLB | Tyler Stephenson 10 games | CIN vs CIN@CHW | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 646 | MLB | Tyler Tolbert 10 games | KC vs KCR@LAD | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 647 | MLB | Vaughn Grissom 10 games | LAA vs TEX@LAA | TB | 1.5 | +150 | 1 | -0.5 | 2/5 | -0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 648 | MLB | Victor Mesa Jr. 10 games | TB vs TBR@Athlet | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 649 | MLB | Victor Mesa Jr. 10 games | TB vs TBR@Athlet | RBI | 0.5 | +148 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 650 | MLB | Wade Meckler 10 games | LAA vs TEX@LAA | TB | 1.5 | +195 | 1.4 | -0.1 | 2/5 | +-0 | 37 | F | 1.0 | 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.