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 | Royce Lewis 10 games | MIN vs Athletics@ | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1652 | MLB | Royce Lewis 10 games | MIN vs Athletics@ | HR | 0.5 | +340 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1653 | MLB | Royce Lewis 10 games | MIN vs Athletics@ | TB | 1.5 | +130 | 0.8 | -0.7 | 1/5 | -1.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1654 | MLB | Ryan Jeffers 7 games | MIN vs Athletics@ | H | 1.5 | +280 | 0.8 | -0.7 | 0/5 | -0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1655 | MLB | Ryan Jeffers 7 games | MIN vs Athletics@ | R | 1.5 | +550 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1656 | MLB | Ryan Jeffers 7 games | MIN vs Athletics@ | RBI | 1.5 | +475 | 0.8 | -0.7 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1657 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1658 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1659 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | RBI | 0.5 | +216 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1660 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1661 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1662 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | RBI | 0.5 | +239 | 0.4 | -0.1 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1663 | MLB | Ryan Vilade 10 games | TB vs CLE@TBR | R | 1.5 | +1300 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 1664 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1665 | MLB | Salvador Perez 10 games | KC vs KCR@DET | H | 1.5 | +360 | 0.6 | -0.9 | 0/5 | -0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 1666 | MLB | Salvador Perez 10 games | KC vs KCR@DET | R | 1.5 | +1500 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1667 | MLB | Sam Antonacci 10 games | CWS vs HOU@CHW | H | 1.5 | +260 | 0.4 | -1.1 | 1/5 | +-0 | 29 | F | 2.0 | WIN | LOSS | |
| 1668 | MLB | Sam Antonacci 10 games | CWS vs HOU@CHW | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1669 | MLB | Sam Antonacci 10 games | CWS vs HOU@CHW | R | 1.5 | +550 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1670 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | H | 0.5 | +104 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1671 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1672 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | R | 0.5 | +180 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1673 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | RBI | 0.5 | +287 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1674 | MLB | Seiya Suzuki 10 games | CHC vs CHC@PIT | H | 1.5 | +280 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1675 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1676 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | RBI | 0.5 | +154 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1677 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | H | 1.5 | +280 | 0.6 | -0.9 | 1/5 | -1 | 29 | F | 0.0 | LOSS | WIN | |
| 1678 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | R | 1.5 | +1300 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1679 | MLB | Spencer Torkelson 10 games | DET vs KCR@DET | RBI | 1.5 | +450 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1680 | MLB | Starling Marte 10 games | KC vs KCR@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1681 | MLB | Starling Marte 10 games | KC vs KCR@DET | RBI | 1.5 | +1300 | 0.4 | -1.1 | 1/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1682 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | HR | 0.5 | +1500 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1683 | MLB | Taylor Trammell 10 games | HOU vs HOU@CHW | R | 0.5 | +188 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1684 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1685 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | RBI | 0.5 | +298 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1686 | MLB | Taylor Ward 10 games | BAL vs ATL@BAL | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1687 | MLB | Taylor Ward 10 games | BAL vs ATL@BAL | R | 1.5 | +600 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 2.0 | WIN | LOSS | |
| 1688 | MLB | Taylor Ward 10 games | BAL vs ATL@BAL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1689 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1690 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | TB | 1.5 | +160 | 1 | -0.5 | 1/5 | -0.9 | 29 | F | 2.0 | WIN | LOSS | |
| 1691 | MLB | TJ Rumfield 10 games | COL vs COL@MIL | R | 1.5 | +1500 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1692 | MLB | Tommy White 5 games | ATH vs Athletics@ | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1693 | MLB | Tommy White 5 games | ATH vs Athletics@ | RBI | 0.5 | +233 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1694 | MLB | Tomoyuki Sugano 7 games | COL vs COL@MIL | K | 4.5 | +230 | 3 | -1.5 | 1/5 | +0 | 29 | F | 5.0 | WIN | LOSS | |
| 1695 | MLB | Travis Bazzana 10 games | CLE vs CLE@TBR | TB | 1.5 | +200 | 1.4 | -0.1 | 1/5 | -1 | 29 | F | 0.0 | LOSS | WIN | |
| 1696 | MLB | Trent Grisham 10 games | NYY vs NYY@PHI | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1697 | MLB | Trent Grisham 10 games | NYY vs NYY@PHI | RBI | 0.5 | +231 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1698 | MLB | Tristan Peters 10 games | CWS vs HOU@CHW | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1699 | MLB | Tsung-Che Cheng 10 games | BOS vs TOR@BOS | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1700 | MLB | Tsung-Che Cheng 10 games | BOS vs TOR@BOS | R | 1.5 | +2000 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | 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.