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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1901 | MLB | Marcell Ozuna 10 games | PIT vs CIN@PIT | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1902 | MLB | Marcell Ozuna 10 games | PIT vs CIN@PIT | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1903 | MLB | Masataka Yoshida 10 games | BOS vs NYY@BOS | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1904 | MLB | Masataka Yoshida 10 games | BOS vs NYY@BOS | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1905 | MLB | Masyn Winn 10 games | STL vs MIA@STL | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1906 | MLB | Matt Chapman 10 games | SF vs ATL@SFG | TB | 1.5 | +170 | 0.8 | -0.7 | 1/5 | -1.9 | 26 | F | 0.0 | LOSS | WIN | |
| 1907 | MLB | Matt McLain 10 games | CIN vs CIN@PIT | H | 1.5 | +450 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | — | PENDING | PENDING | |
| 1908 | MLB | Matt McLain 10 games | CIN vs CIN@PIT | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1909 | MLB | Matt Olson 10 games | ATL vs ATL@SFG | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1910 | MLB | Matt Olson 10 games | ATL vs ATL@SFG | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1911 | MLB | Max Muncy 10 games | ATH vs LAD@SDP | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 1912 | MLB | Max Muncy 10 games | ATH vs LAD@SDP | R | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1913 | MLB | Michael Busch 10 games | CHC vs CHC@MIL | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1914 | MLB | Michael Busch 10 games | CHC vs CHC@MIL | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1915 | MLB | Michael Harris II 10 games | ATL vs ATL@SFG | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1916 | MLB | Michael Massey 10 games | KC vs KCR@CHW | H | 1.5 | +320 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 2.0 | WIN | LOSS | |
| 1917 | MLB | Michael Massey 10 games | KC vs KCR@CHW | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1918 | MLB | Mickey Moniak 10 games | COL vs COL@MIN | R | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1919 | MLB | Mickey Moniak 10 games | COL vs COL@MIN | RBI | 0.5 | +162 | 0 | -0.5 | 0/5 | -0.7 | 26 | F | 1.0 | WIN | LOSS | |
| 1920 | MLB | Miguel Vargas 10 games | CWS vs KCR@CHW | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1921 | MLB | Miguel Vargas 10 games | CWS vs KCR@CHW | R | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1922 | MLB | Miguel Vargas 10 games | CWS vs KCR@CHW | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1923 | MLB | Mike Paredes 4 games | MIN vs COL@MIN | K | 4.5 | +190 | 2.5 | -2 | 0/4 | -0.2 | 26 | F | 2.0 | LOSS | WIN | |
| 1924 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@SFG | H | 1.5 | +400 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1925 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@SFG | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1926 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@SFG | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1927 | MLB | Mookie Betts 10 games | LAD vs LAD@SDP | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1928 | MLB | Nathan Church 10 games | STL vs MIA@STL | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1929 | MLB | Nathan Lukes 10 games | TOR vs TEX@TOR | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1930 | MLB | Nathan Lukes 10 games | TOR vs TEX@TOR | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1931 | MLB | Nick Kurtz 10 games | ATH vs Athletics@ | H | 1.5 | +300 | 0.8 | -0.7 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1932 | MLB | Nick Loftin 10 games | KC vs KCR@CHW | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1933 | MLB | Nico Hoerner 10 games | CHC vs CHC@MIL | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1934 | MLB | Nico Hoerner 10 games | CHC vs CHC@MIL | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1935 | MLB | Nolan Arenado 10 games | AZ vs ARI@TBR | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1936 | MLB | Nolan Arenado 10 games | AZ vs ARI@TBR | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1937 | MLB | Otto Lopez 10 games | MIA vs MIA@STL | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1938 | MLB | Owen Caissie 10 games | MIA vs MIA@STL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1939 | MLB | Patrick Bailey 10 games | CLE vs SEA@CLE | RBI | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1940 | MLB | Pavin Smith 10 games | AZ vs ARI@TBR | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1941 | MLB | Pavin Smith 10 games | AZ vs ARI@TBR | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1942 | MLB | Pete Alonso 10 games | BAL vs WSN@BAL | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1943 | MLB | Pete Alonso 10 games | BAL vs WSN@BAL | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1944 | MLB | Petey Halpin 10 games | CLE vs SEA@CLE | H | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1945 | MLB | Petey Halpin 10 games | CLE vs SEA@CLE | R | 1.5 | +2000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1946 | MLB | Petey Halpin 10 games | CLE vs SEA@CLE | RBI | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1947 | MLB | Petey Halpin 10 games | CLE vs SEA@CLE | TB | 1.5 | +260 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1948 | MLB | Rafael Devers 10 games | SF vs ATL@SFG | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1949 | MLB | Richie Palacios 10 games | TB vs ARI@TBR | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1950 | MLB | Richie Palacios 10 games | TB vs ARI@TBR | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 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.