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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Nolan Schanuel 10 games | LAA vs STL@LAA | TB | 1.5 | +130 | 1.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 752 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 753 | MLB | Patrick Bailey 10 games | CLE vs MIN@CLE | RBI | 1.5 | +900 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 754 | MLB | Petey Halpin 10 games | CLE vs MIN@CLE | R | 0.5 | +190 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 755 | MLB | Riley Greene 10 games | DET vs DET@CHC | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 756 | MLB | Ryan Jeffers 6 games | MIN vs MIN@CLE | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 757 | MLB | Ryan Jeffers 6 games | MIN vs MIN@CLE | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 758 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 760 | MLB | Sal Stewart 10 games | CIN vs CIN@SEA | TB | 1.5 | +125 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 4.0 | WIN | LOSS | |
| 761 | MLB | Salvador Perez 10 games | KC vs SFG@KCR | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 762 | MLB | Salvador Perez 10 games | KC vs SFG@KCR | RBI | 1.5 | +500 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 763 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | RBI | 0.5 | +220 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 764 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Slade Cecconi 9 games | CLE vs MIN@CLE | K | 3.5 | -148 | 3.2 | -0.3 | 3/5 | -0.2 | 37 | F | 5.0 | WIN | LOSS | |
| 766 | MLB | Spencer Torkelson 10 games | DET vs DET@CHC | H | 0.5 | -130 | 0.6 | +0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 767 | MLB | Steven Kwan 10 games | CLE vs MIN@CLE | RBI | 0.5 | +272 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Sung-Mun Song 10 games | SD vs SDP@ATL | H | 0.5 | -133 | 0.8 | +0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.7 | 37 | F | 2.0 | WIN | LOSS | |
| 771 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 772 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 773 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Trea Turner 10 games | PHI vs LAD@PHI | R | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +-0 | 37 | F | 1.0 | LOSS | WIN | |
| 776 | MLB | Trevor Larnach 10 games | MIN vs MIN@CLE | H | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 777 | MLB | Troy Johnston 10 games | COL vs WSN@COL | RBI | 0.5 | +194 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 778 | MLB | Tsung-Che Cheng 10 games | BOS vs BAL@BOS | H | 1.5 | +450 | 1 | -0.5 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Tsung-Che Cheng 10 games | BOS vs BAL@BOS | TB | 1.5 | +210 | 1 | -0.5 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | Tyler O'Neill 10 games | BAL vs BAL@BOS | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 781 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | H | 1.5 | +198 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 782 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | RBI | 1.5 | +500 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 784 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | RBI | 0.5 | +188 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Willi Castro 10 games | COL vs WSN@COL | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Willson Contreras 10 games | BOS vs BAL@BOS | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Willson Contreras 10 games | BOS vs BAL@BOS | RBI | 1.5 | +360 | 1 | -0.5 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Willy Adames 10 games | SF vs SFG@KCR | RBI | 1.5 | +500 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 790 | MLB | Wilyer Abreu 10 games | BOS vs BAL@BOS | RBI | 1.5 | +360 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Wyatt Langford 10 games | TEX vs CHW@TEX | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Xander Bogaerts 10 games | SD vs SDP@ATL | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 793 | MLB | Xander Bogaerts 10 games | SD vs SDP@ATL | TB | 1.5 | +146 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 794 | MLB | Yainer Diaz 10 games | HOU vs MIA@HOU | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 795 | MLB | Yandy Diaz 10 games | TB vs TBR@TOR | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 796 | MLB | Zach Neto 10 games | LAA vs STL@LAA | H | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 797 | MLB | Zach Neto 10 games | LAA vs STL@LAA | TB | 1.5 | +117 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 798 | MLB | Ben Rice 10 games | NYY vs PIT@NYY | TB | 1.5 | -112 | 1.8 | +0.3 | 2/5 | -1.3 | 36 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | Bryce Eldridge 10 games | SF vs SFG@KCR | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.2 | 36 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | H | 0.5 | -236 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | 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.