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 | Luke Keaschall 10 games | MIN vs MIN@CLE | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1802 | MLB | Luke Keaschall 10 games | MIN vs MIN@CLE | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1803 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1804 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1805 | MLB | Marcus Semien 10 games | NYM vs NYM@MIL | H | 1.5 | +475 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1806 | MLB | Marcus Semien 10 games | NYM vs NYM@MIL | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1807 | MLB | Marcus Semien 10 games | NYM vs NYM@MIL | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1808 | MLB | Marcus Semien 10 games | NYM vs NYM@MIL | TB | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 4.0 | WIN | LOSS | |
| 1809 | MLB | Masataka Yoshida 10 games | BOS vs BAL@BOS | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1810 | MLB | Masyn Winn 10 games | STL vs STL@LAA | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1811 | MLB | Masyn Winn 10 games | STL vs STL@LAA | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1812 | MLB | Masyn Winn 10 games | STL vs STL@LAA | TB | 1.5 | +160 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1813 | MLB | Max Muncy 10 games | ATH vs LAD@PHI | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1814 | MLB | Mike Trout 10 games | LAA vs STL@LAA | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1815 | MLB | Mike Trout 10 games | LAA vs STL@LAA | RBI | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1816 | MLB | Mitch Keller 9 games | PIT vs PIT@NYY | K | 5.5 | +300 | 3.8 | -1.7 | 1/5 | -1.3 | 26 | F | 6.0 | WIN | LOSS | |
| 1817 | MLB | Nick Loftin 10 games | KC vs SFG@KCR | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1818 | MLB | Nick Loftin 10 games | KC vs SFG@KCR | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1819 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | H | 1.5 | +320 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 1820 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1821 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1822 | MLB | Nolan Arenado 10 games | AZ vs Athletics@ | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 3.0 | WIN | LOSS | |
| 1823 | MLB | Nolan Schanuel 10 games | LAA vs STL@LAA | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1824 | MLB | Nolan Schanuel 10 games | LAA vs STL@LAA | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1825 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1826 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | H | 1.5 | +220 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1827 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 1.0 | LOSS | WIN | |
| 1828 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | H | 1.5 | +230 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1829 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1830 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1831 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 1.0 | LOSS | WIN | |
| 1832 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1833 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1834 | MLB | Ryan Jeffers 6 games | MIN vs MIN@CLE | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1835 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | H | 1.5 | +475 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1836 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | R | 1.5 | +2000 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1837 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1838 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | TB | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1839 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1840 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1841 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | RBI | 1.5 | +550 | 0.4 | -1.1 | 1/5 | -1.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1842 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1843 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 3.0 | WIN | LOSS | |
| 1844 | MLB | Sal Stewart 10 games | CIN vs CIN@SEA | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1845 | MLB | Sal Stewart 10 games | CIN vs CIN@SEA | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1846 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | H | 1.5 | +300 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1847 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1848 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1849 | MLB | Shohei Ohtani 10 games | LAD vs LAD@PHI | TB | 2.5 | +130 | 1.6 | -0.9 | 1/5 | -1.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1850 | MLB | Slade Cecconi 9 games | CLE vs MIN@CLE | K | 4.5 | +140 | 3.2 | -1.3 | 0/5 | -0.2 | 26 | F | 5.0 | 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.