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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1651 | MLB | Bryan Reynolds 10 games | PIT vs PIT@NYY | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1652 | MLB | Bryce Eldridge 10 games | SF vs SFG@KCR | R | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1653 | MLB | Bryce Harper 10 games | PHI vs LAD@PHI | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1654 | MLB | Bryson Stott 10 games | PHI vs LAD@PHI | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1655 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | — | PENDING | PENDING | |
| 1656 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | TB | 2.5 | +170 | 1.2 | -1.3 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1657 | MLB | Cal Raleigh 10 games | SEA vs CIN@SEA | H | 1.5 | +320 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1658 | MLB | Cal Raleigh 10 games | SEA vs CIN@SEA | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1659 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1660 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1661 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1662 | MLB | Casey Schmitt 10 games | SF vs SFG@KCR | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1663 | MLB | Casey Schmitt 10 games | SF vs SFG@KCR | RBI | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1664 | MLB | Ceddanne Rafaela 10 games | BOS vs BAL@BOS | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1665 | MLB | Chase DeLauter 10 games | CLE vs MIN@CLE | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1666 | MLB | Christian Yelich 10 games | MIL vs NYM@MIL | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1667 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1668 | MLB | Cole Carrigg 10 games | COL vs WSN@COL | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1669 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | H | 1.5 | +475 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1670 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1671 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1672 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | TB | 1.5 | +220 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1673 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1674 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1675 | MLB | Dalton Rushing 10 games | LAD vs LAD@PHI | H | 1.5 | +360 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1676 | MLB | Dalton Rushing 10 games | LAD vs LAD@PHI | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1677 | MLB | Dalton Rushing 10 games | LAD vs LAD@PHI | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1678 | MLB | Dalton Rushing 10 games | LAD vs LAD@PHI | TB | 1.5 | +150 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 6.0 | WIN | LOSS | |
| 1679 | MLB | Daniel Susac 10 games | SF vs SFG@KCR | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1680 | MLB | Daniel Susac 10 games | SF vs SFG@KCR | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1681 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | R | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1682 | MLB | Dean Kremer 3 games | BAL vs BAL@BOS | K | 5.5 | +140 | 4.3 | -1.2 | 0/3 | +0 | 26 | F | 5.0 | LOSS | WIN | |
| 1683 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1684 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1685 | MLB | Derek Hill 10 games | PHI vs LAD@PHI | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1686 | MLB | Derek Hill 10 games | PHI vs LAD@PHI | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1687 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1688 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | RBI | 0.5 | +173 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1689 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | TB | 1.5 | +136 | 0.6 | -0.9 | 0/5 | -0.7 | 26 | F | 1.0 | LOSS | WIN | |
| 1690 | MLB | Dominic Smith 10 games | ATL vs SDP@ATL | TB | 1.5 | +190 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1691 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | H | 1.5 | +280 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1692 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1693 | MLB | Drew Gilbert 10 games | SF vs SFG@KCR | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1694 | MLB | Drew Gilbert 10 games | SF vs SFG@KCR | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1695 | MLB | Drew Gilbert 10 games | SF vs SFG@KCR | TB | 1.5 | +175 | 0.6 | -0.9 | 0/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 1696 | MLB | Dylan Crews 10 games | WSH vs WSN@COL | H | 1.5 | +180 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 1697 | MLB | Dylan Crews 10 games | WSH vs WSN@COL | RBI | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1698 | MLB | Edmundo Sosa 10 games | PHI vs LAD@PHI | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1699 | MLB | Edmundo Sosa 10 games | PHI vs LAD@PHI | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1700 | MLB | Edwin Arroyo 10 games | CIN vs CIN@SEA | R | 1.5 | +2000 | 0 | -1.5 | 0/5 | -0.2 | 26 | 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.