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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1801 | MLB | Freddie Freeman 10 games | LAD vs LAD@NYM | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1802 | MLB | Garrett Mitchell 10 games | MIL vs COL@MIL | H | 1.5 | +300 | 0.4 | -1.1 | 1/5 | -1 | 26 | F | 0.0 | LOSS | WIN | |
| 1803 | MLB | Garrett Mitchell 10 games | MIL vs COL@MIL | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1804 | MLB | Garrett Mitchell 10 games | MIL vs COL@MIL | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1805 | MLB | Gavin Sheets 10 games | SD vs SDP@MIA | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1806 | MLB | Gavin Sheets 10 games | SD vs SDP@MIA | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1807 | MLB | Gavin Sheets 10 games | SD vs SDP@MIA | TB | 1.5 | +200 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1808 | MLB | George Springer 10 games | TOR vs TOR@BOS | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1809 | MLB | George Springer 10 games | TOR vs TOR@BOS | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1810 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1811 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1812 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1813 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1814 | MLB | Gunnar Henderson 10 games | BAL vs ATL@BAL | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1815 | MLB | Heliot Ramos 10 games | SF vs LAA@SFG | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1816 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | TB | 1.5 | +150 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1817 | MLB | Henry Davis 10 games | PIT vs CHC@PIT | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1818 | MLB | Henry Davis 10 games | PIT vs CHC@PIT | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1819 | MLB | Hunter Feduccia 10 games | TB vs CLE@TBR | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1820 | MLB | Hunter Feduccia 10 games | TB vs CLE@TBR | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1821 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@WSN | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1822 | MLB | Isaac Collins 10 games | KC vs KCR@DET | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1823 | MLB | Ivan Herrera 10 games | STL vs CIN@STL | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1824 | MLB | Ivan Herrera 10 games | STL vs CIN@STL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1825 | MLB | J.P. Crawford 10 games | SEA vs SEA@TEX | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1826 | MLB | Jac Caglianone 10 games | KC vs KCR@DET | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1827 | MLB | Jackson Chourio 10 games | MIL vs COL@MIL | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1828 | MLB | Jackson Chourio 10 games | MIL vs COL@MIL | TB | 2.5 | +190 | 0.8 | -1.7 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1829 | MLB | Jackson Holliday 10 games | BAL vs ATL@BAL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1830 | MLB | Jackson Holliday 10 games | BAL vs ATL@BAL | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1831 | MLB | Jackson Holliday 10 games | BAL vs ATL@BAL | TB | 1.5 | +180 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 3.0 | WIN | LOSS | |
| 1832 | MLB | Jackson Merrill 10 games | SD vs SDP@MIA | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1833 | MLB | Jacob Young 10 games | WSH vs ARI@WSN | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1834 | MLB | Jake Bauers 10 games | MIL vs COL@MIL | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1835 | MLB | Jake Bauers 10 games | MIL vs COL@MIL | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 3.0 | WIN | LOSS | |
| 1836 | MLB | Jake Bauers 10 games | MIL vs COL@MIL | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1837 | MLB | Jake Bauers 10 games | MIL vs COL@MIL | TB | 1.5 | +160 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1838 | MLB | Jake Burger 10 games | TEX vs SEA@TEX | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1839 | MLB | Jake Cronenworth 10 games | SD vs SDP@MIA | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1840 | MLB | Jake Cronenworth 10 games | SD vs SDP@MIA | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1841 | MLB | Jake Mangum 10 games | PIT vs CHC@PIT | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1842 | MLB | Jake Mangum 10 games | PIT vs CHC@PIT | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1843 | MLB | Jake McCarthy 10 games | COL vs COL@MIL | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1844 | MLB | James Outman 10 games | DET vs KCR@DET | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1845 | MLB | Jared Triolo 10 games | PIT vs CHC@PIT | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1846 | MLB | Jared Young 10 games | NYM vs LAD@NYM | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1847 | MLB | Jared Young 10 games | NYM vs LAD@NYM | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1848 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1849 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1850 | MLB | Javier Sanoja 10 games | MIA vs SDP@MIA | RBI | 1.5 | +600 | 0.2 | -1.3 | 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.