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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1851 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1852 | MLB | Jordan Walker 10 games | STL vs CIN@STL | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1853 | MLB | Jordan Walker 10 games | STL vs CIN@STL | RBI | 1.5 | +340 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1854 | MLB | Jorge Polanco 10 games | NYM vs LAD@NYM | H | 1.5 | +360 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1855 | MLB | Jorge Polanco 10 games | NYM vs LAD@NYM | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1856 | MLB | Jorge Polanco 10 games | NYM vs LAD@NYM | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1857 | MLB | Jorge Polanco 10 games | NYM vs LAD@NYM | TB | 1.5 | +160 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1858 | MLB | Jorge Soler 10 games | LAA vs LAA@SFG | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1859 | MLB | Jorge Soler 10 games | LAA vs LAA@SFG | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1860 | MLB | Jose Caballero 10 games | NYY vs NYY@PHI | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1861 | MLB | Jose Siri 10 games | LAA vs LAA@SFG | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1862 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1863 | MLB | Josh Smith 10 games | TEX vs SEA@TEX | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1864 | MLB | Josh Smith 10 games | TEX vs SEA@TEX | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1865 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1866 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | RBI | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1867 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | H | 1.5 | +320 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1868 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1869 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1870 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | TB | 1.5 | +200 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1871 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1872 | MLB | Kerry Carpenter 10 games | DET vs KCR@DET | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1873 | MLB | Kerry Carpenter 10 games | DET vs KCR@DET | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1874 | MLB | Kevin McGonigle 10 games | DET vs KCR@DET | R | 1.5 | +400 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1875 | MLB | Kevin McGonigle 10 games | DET vs KCR@DET | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1876 | MLB | Kyle Schwarber 10 games | PHI vs NYY@PHI | R | 1.5 | +400 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 1877 | MLB | Kyle Schwarber 10 games | PHI vs NYY@PHI | RBI | 1.5 | +380 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1878 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | R | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1879 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1880 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1881 | MLB | LaMonte Wade Jr. 10 games | HOU vs HOU@CHW | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1882 | MLB | LaMonte Wade Jr. 10 games | HOU vs HOU@CHW | TB | 1.5 | +185 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 0.0 | LOSS | WIN | |
| 1883 | MLB | Lane Thomas 10 games | KC vs KCR@DET | R | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1884 | MLB | Lane Thomas 10 games | KC vs KCR@DET | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | 1.0 | LOSS | WIN | |
| 1885 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1886 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1887 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1888 | MLB | Liam Hicks 10 games | MIA vs SDP@MIA | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1889 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1890 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1891 | MLB | Lucas Spence 8 games | HOU vs HOU@CHW | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1892 | MLB | Lucas Spence 8 games | HOU vs HOU@CHW | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1893 | MLB | Lucas Spence 8 games | HOU vs HOU@CHW | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1894 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1895 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1896 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1897 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | TB | 1.5 | +170 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1898 | MLB | Luis Robert Jr. 5 games | NYM vs LAD@NYM | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1899 | MLB | Luis Robert Jr. 5 games | NYM vs LAD@NYM | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1900 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0 | 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.