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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1551 | MLB | Tyler Callihan 10 games | PIT vs ARI@PIT | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1552 | MLB | Tyler Callihan 10 games | PIT vs ARI@PIT | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1553 | MLB | Tyler Callihan 10 games | PIT vs ARI@PIT | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1554 | MLB | Tyler Stephenson 10 games | CIN vs CLE@CIN | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1555 | MLB | Victor Mesa Jr. 10 games | TB vs TEX@TBR | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1556 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@MIN | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1557 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@WSN | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1558 | MLB | Weston Wilson 10 games | SEA vs SEA@LAD | TB | 1.5 | +225 | 1 | -0.5 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 1559 | MLB | William Contreras 10 games | MIL vs MIL@SFG | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1560 | MLB | William Contreras 10 games | MIL vs MIL@SFG | RBI | 0.5 | +162 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1561 | MLB | Willson Contreras 10 games | BOS vs BOS@Athlet | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1562 | MLB | Willson Contreras 10 games | BOS vs BOS@Athlet | RBI | 0.5 | +123 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1563 | MLB | Willy Adames 10 games | SF vs MIL@SFG | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1564 | MLB | Willy Adames 10 games | SF vs MIL@SFG | RBI | 0.5 | +257 | 0.2 | -0.3 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1565 | MLB | Wilyer Abreu 10 games | BOS vs BOS@Athlet | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1566 | MLB | Wilyer Abreu 10 games | BOS vs BOS@Athlet | R | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1567 | MLB | Xander Bogaerts 10 games | SD vs COL@SDP | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1568 | MLB | Xander Bogaerts 10 games | SD vs COL@SDP | RBI | 0.5 | +231 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1569 | MLB | Xavier Edwards 10 games | MIA vs PHI@MIA | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1570 | MLB | Xavier Edwards 10 games | MIA vs PHI@MIA | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1571 | MLB | Xavier Edwards 10 games | MIA vs PHI@MIA | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1572 | MLB | Yainer Diaz 10 games | HOU vs HOU@LAA | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1573 | MLB | Yainer Diaz 10 games | HOU vs HOU@LAA | RBI | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1574 | MLB | Yandy Diaz 10 games | TB vs TEX@TBR | H | 1.5 | +165 | 0.6 | -0.9 | 0/5 | -0.4 | 29 | F | — | PENDING | PENDING | |
| 1575 | MLB | Yandy Diaz 10 games | TB vs TEX@TBR | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1576 | MLB | Yandy Diaz 10 games | TB vs TEX@TBR | RBI | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1577 | MLB | Yordan Alvarez 10 games | HOU vs HOU@LAA | H | 1.5 | +190 | 0.8 | -0.7 | 1/5 | -1 | 29 | F | 2.0 | WIN | LOSS | |
| 1578 | MLB | Zach Dezenzo 10 games | HOU vs HOU@LAA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1579 | MLB | Zach Dezenzo 10 games | HOU vs HOU@LAA | RBI | 0.5 | +330 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1580 | MLB | Zach McKinstry 10 games | DET vs BAL@DET | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1581 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1582 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | RBI | 0.5 | +197 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1583 | MLB | Amed Rosario 10 games | NYY vs NYY@CHW | H | 0.5 | -195 | 0.4 | -0.1 | 2/5 | +0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1584 | MLB | Blaze Jordan 10 games | STL vs CHC@STL | H | 0.5 | -175 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 0.0 | LOSS | WIN | |
| 1585 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1586 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | H | 0.5 | -250 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 1.0 | WIN | LOSS | |
| 1587 | MLB | Bryce Harper 10 games | PHI vs PHI@MIA | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 1588 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@PIT | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 1589 | MLB | Heliot Ramos 10 games | SF vs MIL@SFG | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 1.0 | WIN | LOSS | |
| 1590 | MLB | Jacob Gonzalez 10 games | PIT vs ARI@PIT | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 1.0 | WIN | LOSS | |
| 1591 | MLB | Javier Sanoja 10 games | MIA vs PHI@MIA | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 0.0 | LOSS | WIN | |
| 1592 | MLB | Keibert Ruiz 10 games | WSH vs TOR@WSN | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 1593 | MLB | Lane Thomas 10 games | KC vs KCR@MIN | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 1594 | MLB | Max Muncy 10 games | LAD vs SEA@LAD | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 1595 | MLB | Mookie Betts 10 games | LAD vs SEA@LAD | H | 0.5 | -225 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 1.0 | WIN | LOSS | |
| 1596 | MLB | Sam Huff 10 games | BAL vs BAL@DET | H | 0.5 | -110 | 0 | -0.5 | 0/5 | -0.2 | 28 | F | — | PENDING | PENDING | |
| 1597 | MLB | A.J. Ewing 10 games | NYM vs ATL@NYM | RBI | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1598 | MLB | Adrian Del Castillo 10 games | AZ vs ARI@PIT | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1599 | MLB | Alec Burleson 10 games | STL vs CHC@STL | RBI | 1.5 | +450 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1600 | MLB | Alejandro Kirk 10 games | TOR vs TOR@WSN | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING |
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.