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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1951 | MLB | Riley Greene 10 games | DET vs HOU@DET | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1952 | MLB | Riley Greene 10 games | DET vs HOU@DET | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1953 | MLB | Ryan Gusto 4 games | MIA vs MIA@STL | K | 4.5 | +210 | 2.3 | -2.3 | 0/4 | -0.3 | 26 | F | 4.0 | LOSS | WIN | |
| 1954 | MLB | Ryan O'Hearn 10 games | PIT vs CIN@PIT | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1955 | MLB | Ryan Ward 10 games | LAD vs LAD@SDP | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1956 | MLB | Ryan Ward 10 games | LAD vs LAD@SDP | RBI | 0.5 | +353 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 1.0 | WIN | LOSS | |
| 1957 | MLB | Salvador Perez 10 games | KC vs KCR@CHW | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1958 | MLB | Sam Antonacci 10 games | CWS vs KCR@CHW | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1959 | MLB | Samad Taylor 10 games | SD vs LAD@SDP | RBI | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN | |
| 1960 | MLB | Shohei Ohtani 10 games | LAD vs LAD@SDP | H | 1.5 | +180 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1961 | MLB | Shohei Ohtani 10 games | LAD vs LAD@SDP | R | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1962 | MLB | Shohei Ohtani 10 games | LAD vs LAD@SDP | RBI | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1963 | MLB | Spencer Steer 10 games | CIN vs CIN@PIT | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1964 | MLB | Spencer Steer 10 games | CIN vs CIN@PIT | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1965 | MLB | Spencer Torkelson 10 games | DET vs HOU@DET | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1966 | MLB | Spencer Torkelson 10 games | DET vs HOU@DET | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1967 | MLB | Steven Kwan 10 games | CLE vs SEA@CLE | H | 1.5 | +360 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1968 | MLB | Steven Kwan 10 games | CLE vs SEA@CLE | R | 1.5 | +2000 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1969 | MLB | Steven Kwan 10 games | CLE vs SEA@CLE | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1970 | MLB | Steven Kwan 10 games | CLE vs SEA@CLE | TB | 1.5 | +200 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1971 | MLB | Taylor Walls 10 games | TB vs ARI@TBR | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1972 | MLB | Taylor Ward 10 games | BAL vs WSN@BAL | R | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1973 | MLB | Taylor Ward 10 games | BAL vs WSN@BAL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1974 | MLB | TJ Rumfield 10 games | COL vs COL@MIN | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1975 | MLB | Tommy Edman 3 games | LAD vs LAD@SDP | R | 1.5 | +1000 | 0 | -1.5 | 0/3 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1976 | MLB | Tommy Edman 3 games | LAD vs LAD@SDP | RBI | 1.5 | +600 | 0 | -1.5 | 0/3 | +0 | 26 | F | 3.0 | WIN | LOSS | |
| 1977 | MLB | Trea Turner 10 games | PHI vs PHI@NYM | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1978 | MLB | Tristan Peters 10 games | CWS vs KCR@CHW | H | 1.5 | +380 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1979 | MLB | Tristan Peters 10 games | CWS vs KCR@CHW | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1980 | MLB | Tristan Peters 10 games | CWS vs KCR@CHW | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1981 | MLB | Tyler Callihan 10 games | PIT vs CIN@PIT | H | 0.5 | -120 | 0.4 | -0.1 | 1/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN | |
| 1982 | MLB | Tyler Callihan 10 games | PIT vs CIN@PIT | H | 1.5 | +500 | 0.4 | -1.1 | 1/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN | |
| 1983 | MLB | Tyler Callihan 10 games | PIT vs CIN@PIT | R | 1.5 | +2000 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1984 | MLB | Tyler Callihan 10 games | PIT vs CIN@PIT | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1985 | MLB | Tyler O'Neill 10 games | BAL vs WSN@BAL | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1986 | MLB | Tyler O'Neill 10 games | BAL vs WSN@BAL | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1987 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1988 | MLB | Tyler Stephenson 10 games | CIN vs CIN@PIT | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 1989 | MLB | Wade Meckler 10 games | LAA vs Athletics@ | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1990 | MLB | Wade Meckler 10 games | LAA vs Athletics@ | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1991 | MLB | Will Wagner 10 games | SD vs LAD@SDP | R | 1.5 | +2000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1992 | MLB | Will Wagner 10 games | SD vs LAD@SDP | RBI | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1993 | MLB | Willi Castro 10 games | COL vs COL@MIN | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1994 | MLB | William Contreras 10 games | MIL vs CHC@MIL | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1995 | MLB | Willson Contreras 10 games | BOS vs NYY@BOS | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 0.0 | LOSS | WIN | |
| 1996 | MLB | Willson Contreras 10 games | BOS vs NYY@BOS | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1997 | MLB | Willy Adames 10 games | SF vs ATL@SFG | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1998 | MLB | Xander Bogaerts 10 games | SD vs LAD@SDP | R | 1.5 | +2000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1999 | MLB | Xander Bogaerts 10 games | SD vs LAD@SDP | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2000 | MLB | Xavier Edwards 10 games | MIA vs MIA@STL | H | 1.5 | +180 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 3.0 | 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.