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 | Carson Benge 10 games | NYM vs LAD@NYM | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1802 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1803 | MLB | Carson Kelly 10 games | CHC vs CHC@PIT | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1804 | MLB | Carter Jensen 10 games | KC vs KCR@DET | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1805 | MLB | Carter Jensen 10 games | KC vs KCR@DET | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1806 | MLB | Casey Schmitt 10 games | SF vs LAA@SFG | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1807 | MLB | Casey Schmitt 10 games | SF vs LAA@SFG | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 3.0 | WIN | LOSS | |
| 1808 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1809 | MLB | Chandler Simpson 10 games | TB vs CLE@TBR | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1810 | MLB | Chandler Simpson 10 games | TB vs CLE@TBR | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1811 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1812 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1813 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1814 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | 3.0 | WIN | LOSS | |
| 1815 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | TB | 1.5 | +165 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 2.0 | WIN | LOSS | |
| 1816 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | R | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1817 | MLB | Coby Mayo 10 games | BAL vs ATL@BAL | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1818 | MLB | Cole Carrigg 10 games | COL vs COL@MIL | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1819 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | H | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1820 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1821 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1822 | MLB | Colton Cowser 10 games | BAL vs ATL@BAL | TB | 1.5 | +190 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1823 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1824 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | R | 1.5 | +1500 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1825 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1826 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | TB | 1.5 | +210 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1827 | MLB | Cooper Pratt 10 games | MIL vs COL@MIL | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 1828 | MLB | Corbin Carroll 10 games | AZ vs ARI@WSN | RBI | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1829 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1830 | MLB | Dane Myers 10 games | CIN vs CIN@STL | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1831 | MLB | Dane Myers 10 games | CIN vs CIN@STL | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1832 | MLB | Daniel Susac 10 games | SF vs LAA@SFG | R | 1.5 | +1500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1833 | MLB | Daniel Susac 10 games | SF vs LAA@SFG | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1834 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1835 | MLB | Daulton Varsho 10 games | TOR vs TOR@BOS | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1836 | MLB | Daulton Varsho 10 games | TOR vs TOR@BOS | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1837 | MLB | David Fry 10 games | CLE vs CLE@TBR | TB | 1.5 | +240 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1838 | MLB | Davis Martin 9 games | CWS vs HOU@CHW | K | 4.5 | +120 | 2.8 | -1.7 | 1/5 | -1.1 | 26 | F | 3.0 | LOSS | WIN | |
| 1839 | MLB | Davis Schneider 10 games | TOR vs TOR@BOS | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1840 | MLB | Davis Schneider 10 games | TOR vs TOR@BOS | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1841 | MLB | Daylen Lile 10 games | WSH vs ARI@WSN | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1842 | MLB | Daylen Lile 10 games | WSH vs ARI@WSN | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1843 | MLB | Denzer Guzman 10 games | LAA vs LAA@SFG | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1844 | MLB | Denzer Guzman 10 games | LAA vs LAA@SFG | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1845 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1846 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1847 | MLB | Drew Gilbert 10 games | SF vs LAA@SFG | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1848 | MLB | Drew Gilbert 10 games | SF vs LAA@SFG | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1849 | MLB | Drew Gilbert 10 games | SF vs LAA@SFG | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1850 | MLB | Drew Gilbert 10 games | SF vs LAA@SFG | TB | 1.5 | +200 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | 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.