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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1701 | MLB | Tsung-Che Cheng 10 games | BOS vs TOR@BOS | RBI | 0.5 | +275 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 1702 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1703 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | R | 0.5 | +220 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1704 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | RBI | 0.5 | +307 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1705 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | H | 1.5 | +500 | 1.2 | -0.3 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1706 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | R | 1.5 | +2000 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 1707 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | RBI | 1.5 | +1300 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1708 | MLB | Vaughn Grissom 10 games | LAA vs LAA@SFG | H | 1.5 | +260 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 1709 | MLB | Vaughn Grissom 10 games | LAA vs LAA@SFG | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1710 | MLB | Victor Caratini 10 games | MIN vs Athletics@ | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1711 | MLB | Victor Robles 10 games | SEA vs SEA@TEX | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1712 | MLB | Victor Robles 10 games | SEA vs SEA@TEX | R | 1.5 | +1500 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | — | PENDING | PENDING | |
| 1713 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@DET | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1714 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@DET | R | 1.5 | +2500 | 0.6 | -0.9 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1715 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1716 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | R | 0.5 | +105 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 1717 | MLB | Weston Wilson 10 games | SEA vs SEA@TEX | H | 1.5 | +450 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1718 | MLB | Weston Wilson 10 games | SEA vs SEA@TEX | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1719 | MLB | Weston Wilson 10 games | SEA vs SEA@TEX | RBI | 1.5 | +700 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1720 | MLB | Willi Castro 10 games | COL vs COL@MIL | H | 1.5 | +360 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 1.0 | LOSS | WIN | |
| 1721 | MLB | Willy Adames 10 games | SF vs LAA@SFG | H | 1.5 | +380 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1722 | MLB | Willy Adames 10 games | SF vs LAA@SFG | R | 1.5 | +1000 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1723 | MLB | Xander Bogaerts 10 games | SD vs SDP@MIA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1724 | MLB | Xander Bogaerts 10 games | SD vs SDP@MIA | RBI | 0.5 | +235 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1725 | MLB | Xavier Edwards 10 games | MIA vs SDP@MIA | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1726 | MLB | Xavier Edwards 10 games | MIA vs SDP@MIA | RBI | 0.5 | +188 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1727 | MLB | Yainer Diaz 10 games | HOU vs HOU@CHW | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1728 | MLB | Yainer Diaz 10 games | HOU vs HOU@CHW | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 1729 | MLB | Yainer Diaz 10 games | HOU vs HOU@CHW | R | 1.5 | +1300 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1730 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | H | 1.5 | +200 | 0.6 | -0.9 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1731 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 1732 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | R | 1.5 | +550 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1733 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1734 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1735 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1736 | MLB | Zebby Matthews 10 games | MIN vs Athletics@ | K | 5.5 | +240 | 4.8 | -0.7 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 1737 | MLB | Anthony Seigler 10 games | BOS vs TOR@BOS | H | 0.5 | -175 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 4.0 | WIN | LOSS | |
| 1738 | MLB | Brice Turang 10 games | MIL vs COL@MIL | H | 0.5 | -229 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 3.0 | WIN | LOSS | |
| 1739 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | H | 0.5 | -179 | 0.4 | -0.1 | 2/5 | +0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 1740 | MLB | Dustin May 9 games | STL vs CIN@STL | K | 4.5 | -300 | 4 | -0.5 | 2/5 | -0.2 | 28 | F | 8.0 | WIN | LOSS | |
| 1741 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | R | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.6 | 28 | F | 0.0 | LOSS | WIN | |
| 1742 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1743 | MLB | Jorge Soler 10 games | LAA vs LAA@SFG | H | 0.5 | -155 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 1744 | MLB | Kyle Schwarber 10 games | PHI vs NYY@PHI | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 1745 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | R | 0.5 | -105 | 0 | -0.5 | 0/5 | +0 | 28 | F | 0.0 | LOSS | WIN | |
| 1746 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 1747 | MLB | Pete Alonso 10 games | BAL vs ATL@BAL | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 2.0 | WIN | LOSS | |
| 1748 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 2.0 | WIN | LOSS | |
| 1749 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | H | 0.5 | -250 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 2.0 | WIN | LOSS | |
| 1750 | MLB | William Contreras 10 games | MIL vs COL@MIL | H | 0.5 | -300 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 2.0 | 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.