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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1601 | MLB | Zach McKinstry 10 games | DET vs DET@CHC | R | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1602 | MLB | Zach McKinstry 10 games | DET vs DET@CHC | RBI | 0.5 | +285 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1603 | MLB | Zach Neto 10 games | LAA vs STL@LAA | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1604 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 2.0 | WIN | LOSS | |
| 1605 | MLB | Brandon Marsh 10 games | PHI vs LAD@PHI | H | 0.5 | -174 | 0.4 | -0.1 | 2/5 | +0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1606 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | H | 0.5 | -240 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 3.0 | WIN | LOSS | |
| 1607 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 0.0 | LOSS | WIN | |
| 1608 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1609 | MLB | Jorge Soler 10 games | LAA vs STL@LAA | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | — | PENDING | PENDING | |
| 1610 | MLB | Jose Tena 10 games | WSH vs WSN@COL | TB | 1.5 | -105 | 1 | -0.5 | 1/5 | -0.9 | 28 | F | 2.0 | WIN | LOSS | |
| 1611 | MLB | Justin Foscue 10 games | TEX vs CHW@TEX | H | 0.5 | -166 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1612 | MLB | Kyle Karros 10 games | COL vs WSN@COL | H | 0.5 | -226 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 1613 | MLB | Masyn Winn 10 games | STL vs STL@LAA | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1614 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | H | 0.5 | -151 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | — | PENDING | PENDING | |
| 1615 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | H | 0.5 | -241 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1616 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1617 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | H | 0.5 | -151 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 1.0 | WIN | LOSS | |
| 1618 | MLB | Sal Stewart 10 games | CIN vs CIN@SEA | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 1619 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | — | PENDING | PENDING | |
| 1620 | MLB | Shohei Ohtani 10 games | LAD vs LAD@PHI | TB | 1.5 | -117 | 1.6 | +0.1 | 1/5 | -1.6 | 28 | F | 0.0 | LOSS | WIN | |
| 1621 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1622 | MLB | Tristan Peters 10 games | CWS vs CHW@TEX | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 0.0 | LOSS | WIN | |
| 1623 | MLB | William Contreras 10 games | MIL vs NYM@MIL | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1624 | MLB | Ben Rice 10 games | NYY vs PIT@NYY | R | 0.5 | -125 | 0.2 | -0.3 | 1/5 | -0.3 | 27 | F | 0.0 | LOSS | WIN | |
| 1625 | MLB | Bubba Chandler 9 games | PIT vs PIT@NYY | K | 4.5 | -142 | 3.4 | -1.1 | 2/5 | -0.2 | 27 | F | 5.0 | WIN | LOSS | |
| 1626 | MLB | Drew Romo 10 games | CWS vs CHW@TEX | H | 0.5 | -134 | 0.2 | -0.3 | 1/5 | +0.1 | 27 | F | — | PENDING | PENDING | |
| 1627 | MLB | Jakob Marsee 10 games | MIA vs MIA@HOU | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.3 | 27 | F | — | PENDING | PENDING | |
| 1628 | MLB | Kyle Schwarber 10 games | PHI vs LAD@PHI | R | 0.5 | -135 | 0.4 | -0.1 | 1/5 | -0.2 | 27 | F | 1.0 | WIN | LOSS | |
| 1629 | MLB | Mike Trout 10 games | LAA vs STL@LAA | R | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.2 | 27 | F | 0.0 | LOSS | WIN | |
| 1630 | MLB | A.J. Ewing 10 games | NYM vs NYM@MIL | R | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1631 | MLB | A.J. Ewing 10 games | NYM vs NYM@MIL | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1632 | MLB | Alec Bohm 10 games | PHI vs LAD@PHI | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1633 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | TB | 1.5 | +160 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 5.0 | WIN | LOSS | |
| 1634 | MLB | Andrew Vaughn 10 games | MIL vs NYM@MIL | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1635 | MLB | Andy Pages 10 games | LAD vs LAD@PHI | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1636 | MLB | Andy Pages 10 games | LAD vs LAD@PHI | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1637 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | H | 1.5 | +240 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1638 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | R | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1639 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1640 | MLB | Austin Wells 10 games | NYY vs PIT@NYY | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1641 | MLB | Austin Wells 10 games | NYY vs PIT@NYY | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1642 | MLB | Ben Rice 10 games | NYY vs PIT@NYY | R | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1643 | MLB | Blaze Jordan 10 games | STL vs STL@LAA | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1644 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1645 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1646 | MLB | Brandon Marsh 10 games | PHI vs LAD@PHI | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1647 | MLB | Brandon Marsh 10 games | PHI vs LAD@PHI | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1648 | MLB | Brandon Marsh 10 games | PHI vs LAD@PHI | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1649 | MLB | Brooks Lee 10 games | MIN vs MIN@CLE | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1650 | MLB | Brooks Lee 10 games | MIN vs MIN@CLE | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 4.0 | WIN | LOSS |
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.