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 | Steven Kwan 10 games | CLE vs MIN@CLE | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1852 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | H | 1.5 | +230 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1853 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1854 | MLB | TJ Friedl 10 games | CIN vs CIN@SEA | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1855 | MLB | TJ Friedl 10 games | CIN vs CIN@SEA | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1856 | MLB | TJ Friedl 10 games | CIN vs CIN@SEA | TB | 1.5 | +260 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | — | PENDING | PENDING | |
| 1857 | MLB | Tommy Edman 10 games | LAD vs LAD@PHI | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1858 | MLB | Tommy White 4 games | ATH vs Athletics@ | R | 1.5 | +1000 | 0.3 | -1.3 | 0/4 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1859 | MLB | Tommy White 4 games | ATH vs Athletics@ | RBI | 1.5 | +600 | 0 | -1.5 | 0/4 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1860 | MLB | Trent Grisham 10 games | NYY vs PIT@NYY | H | 1.5 | +240 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1861 | MLB | Trent Grisham 10 games | NYY vs PIT@NYY | R | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1862 | MLB | Troy Johnston 10 games | COL vs WSN@COL | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1863 | MLB | Troy Johnston 10 games | COL vs WSN@COL | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 1864 | MLB | Tyler O'Neill 10 games | BAL vs BAL@BOS | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1865 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1866 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | RBI | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1867 | MLB | Vinnie Pasquantino 10 games | KC vs SFG@KCR | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1868 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | RBI | 0.5 | +193 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1869 | MLB | William Contreras 10 games | MIL vs NYM@MIL | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1870 | MLB | William Contreras 10 games | MIL vs NYM@MIL | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1871 | MLB | Yainer Diaz 10 games | HOU vs MIA@HOU | RBI | 0.5 | +258 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1872 | MLB | Yandy Diaz 10 games | TB vs TBR@TOR | RBI | 0.5 | +208 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1873 | MLB | Zach McKinstry 10 games | DET vs DET@CHC | TB | 1.5 | +210 | 0.4 | -1.1 | 1/5 | -0.7 | 26 | F | 2.0 | WIN | LOSS | |
| 1874 | MLB | Zach Neto 10 games | LAA vs STL@LAA | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1875 | MLB | Zach Neto 10 games | LAA vs STL@LAA | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1876 | MLB | Brice Turang 10 games | MIL vs NYM@MIL | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 1877 | MLB | Dean Kremer 3 games | BAL vs BAL@BOS | K | 4.5 | -144 | 4.3 | -0.2 | 1/3 | +0 | 25 | F | 5.0 | WIN | LOSS | |
| 1878 | MLB | Kyle Schwarber 10 games | PHI vs LAD@PHI | H | 0.5 | -189 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 1879 | MLB | Masataka Yoshida 10 games | BOS vs BAL@BOS | H | 0.5 | -240 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 1880 | MLB | Xavier Edwards 10 games | MIA vs MIA@HOU | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 0.0 | LOSS | WIN | |
| 1881 | MLB | Zach McKinstry 10 games | DET vs DET@CHC | H | 0.5 | -140 | 0.2 | -0.3 | 1/5 | -0.3 | 25 | F | 1.0 | WIN | LOSS | |
| 1882 | MLB | LaMonte Wade Jr. 10 games | HOU vs MIA@HOU | H | 0.5 | -134 | 0 | -0.5 | 0/5 | -0.4 | 24 | F | 0.0 | LOSS | WIN | |
| 1883 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | H | 0.5 | -220 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 1.0 | WIN | LOSS | |
| 1884 | MLB | Brice Turang 10 games | MIL vs NYM@MIL | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 1885 | MLB | Cal Raleigh 10 games | SEA vs CIN@SEA | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 1.0 | WIN | LOSS | |
| 1886 | MLB | Cam Smith 10 games | HOU vs MIA@HOU | H | 0.5 | -170 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | — | PENDING | PENDING | |
| 1887 | MLB | Carson Kelly 10 games | CHC vs DET@CHC | TB | 1.5 | +190 | 0.4 | -1.1 | 0/5 | -0.5 | 23 | F | 0.0 | LOSS | WIN | |
| 1888 | MLB | Christian Walker 10 games | HOU vs MIA@HOU | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 1.0 | WIN | LOSS | |
| 1889 | MLB | Christian Walker 10 games | HOU vs MIA@HOU | TB | 1.5 | +150 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 1890 | MLB | Daniel Susac 10 games | SF vs SFG@KCR | H | 0.5 | -160 | 0.4 | -0.1 | 1/5 | +0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 1891 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | RBI | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 1892 | MLB | Dominic Smith 10 games | ATL vs SDP@ATL | H | 0.5 | -154 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 1.0 | WIN | LOSS | |
| 1893 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | H | 0.5 | -184 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 1.0 | WIN | LOSS | |
| 1894 | MLB | Edouard Julien 10 games | COL vs WSN@COL | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 1895 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | H | 0.5 | -190 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | — | PENDING | PENDING | |
| 1896 | MLB | J.T. Realmuto 10 games | PHI vs LAD@PHI | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 1897 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 1898 | MLB | Josh Lowe 10 games | LAA vs STL@LAA | H | 0.5 | -180 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 2.0 | WIN | LOSS | |
| 1899 | MLB | Justin Foscue 10 games | TEX vs CHW@TEX | TB | 1.5 | +150 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 1900 | MLB | Kazuma Okamoto 10 games | TOR vs TBR@TOR | TB | 1.5 | +160 | 0 | -1.5 | 0/5 | -1.3 | 23 | 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.