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 | Edwin Arroyo 10 games | CIN vs CIN@SEA | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1702 | MLB | Elly De La Cruz 10 games | CIN vs CIN@SEA | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1703 | MLB | Emerson Hancock 8 games | SEA vs CIN@SEA | K | 6.5 | +160 | 4.2 | -2.3 | 0/5 | +0.1 | 26 | F | 3.0 | LOSS | WIN | |
| 1704 | MLB | Eric Lauer 7 games | LAD vs LAD@PHI | K | 4.5 | +200 | 3.2 | -1.3 | 1/5 | -0.7 | 26 | F | 5.0 | WIN | LOSS | |
| 1705 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | H | 1.5 | +280 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1706 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1707 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1708 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | TB | 1.5 | +140 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1709 | MLB | Francisco Lindor 10 games | NYM vs NYM@MIL | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1710 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | H | 1.5 | +200 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 3.0 | WIN | LOSS | |
| 1711 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | R | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1712 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1713 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | TB | 1.5 | +116 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 5.0 | WIN | LOSS | |
| 1714 | MLB | Gabriel Arias 10 games | CLE vs MIN@CLE | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1715 | MLB | Gabriel Arias 10 games | CLE vs MIN@CLE | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1716 | MLB | Gabriel Moreno 10 games | AZ vs Athletics@ | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1717 | MLB | Garrett Mitchell 10 games | MIL vs NYM@MIL | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1718 | MLB | Geraldo Perdomo 10 games | AZ vs Athletics@ | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1719 | MLB | Gunnar Henderson 10 games | BAL vs BAL@BOS | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1720 | MLB | Heliot Ramos 10 games | SF vs SFG@KCR | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1721 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 1.5 | +300 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1722 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1723 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1724 | MLB | Ildemaro Vargas 10 games | AZ vs Athletics@ | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 3.0 | WIN | LOSS | |
| 1725 | MLB | Ildemaro Vargas 10 games | AZ vs Athletics@ | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1726 | MLB | Isaac Collins 10 games | KC vs SFG@KCR | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1727 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | R | 1.5 | +500 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1728 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1729 | MLB | J.P. Crawford 10 games | SEA vs CIN@SEA | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1730 | MLB | J.T. Realmuto 10 games | PHI vs LAD@PHI | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1731 | MLB | J.T. Realmuto 10 games | PHI vs LAD@PHI | RBI | 0.5 | +197 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 1.0 | WIN | LOSS | |
| 1732 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1733 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1734 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1735 | MLB | Jacob Young 10 games | WSH vs WSN@COL | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1736 | MLB | Jake Bauers 10 games | MIL vs NYM@MIL | H | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1737 | MLB | Jake Bauers 10 games | MIL vs NYM@MIL | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1738 | MLB | Jake Bauers 10 games | MIL vs NYM@MIL | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1739 | MLB | Jake Bauers 10 games | MIL vs NYM@MIL | TB | 1.5 | +195 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1740 | MLB | Jake Bennett 7 games | BOS vs BAL@BOS | K | 6.5 | +230 | 5 | -1.5 | 1/5 | -0.5 | 26 | F | 4.0 | LOSS | WIN | |
| 1741 | MLB | Jake Mangum 10 games | PIT vs PIT@NYY | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1742 | MLB | Jakob Marsee 10 games | MIA vs MIA@HOU | TB | 1.5 | +200 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1743 | MLB | James Outman 10 games | DET vs DET@CHC | TB | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1744 | MLB | James Wood 10 games | WSH vs WSN@COL | TB | 2.5 | +140 | 1.2 | -1.3 | 1/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1745 | MLB | Jared Young 10 games | NYM vs NYM@MIL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1746 | MLB | Jared Young 10 games | NYM vs NYM@MIL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1747 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | H | 1.5 | +300 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1748 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1749 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | RBI | 1.5 | +475 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1750 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | TB | 1.5 | +125 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | 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.