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 | Sam Huff 9 games | BAL vs ATL@BAL | TB | 1.5 | +250 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1952 | MLB | Seiya Suzuki 10 games | CHC vs CHC@PIT | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | -0.7 | 26 | F | 1.0 | LOSS | WIN | |
| 1953 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | R | 1.5 | +400 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1954 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1955 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | R | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1956 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1957 | MLB | Spencer Steer 10 games | CIN vs CIN@STL | TB | 1.5 | +140 | 0.4 | -1.1 | 1/5 | -1.5 | 26 | F | — | PENDING | PENDING | |
| 1958 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1959 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | RBI | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1960 | MLB | Sung-Mun Song 10 games | SD vs SDP@MIA | RBI | 1.5 | +900 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | — | PENDING | PENDING | |
| 1961 | MLB | Tanner Bibee 9 games | CLE vs CLE@TBR | K | 4.5 | +132 | 2.8 | -1.7 | 1/5 | -1.1 | 26 | F | 5.0 | WIN | LOSS | |
| 1962 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | — | PENDING | PENDING | |
| 1963 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1964 | MLB | Taylor Ward 10 games | BAL vs ATL@BAL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1965 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1966 | MLB | TJ Rumfield 10 games | COL vs COL@MIL | R | 1.5 | +1500 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1967 | MLB | TJ Rumfield 10 games | COL vs COL@MIL | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1968 | MLB | Tommy Edman 10 games | LAD vs LAD@NYM | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1969 | MLB | Travis Bazzana 10 games | CLE vs CLE@TBR | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1970 | MLB | Trent Grisham 10 games | NYY vs NYY@PHI | R | 0.5 | -115 | 0 | -0.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1971 | MLB | Tristan Peters 10 games | CWS vs HOU@CHW | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1972 | MLB | Tristan Peters 10 games | CWS vs HOU@CHW | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1973 | MLB | Tristan Peters 10 games | CWS vs HOU@CHW | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1974 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1975 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1976 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1977 | MLB | Tyler Freeman 10 games | COL vs COL@MIL | TB | 1.5 | +200 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1978 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@DET | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1979 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@DET | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1980 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | R | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1981 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1982 | MLB | William Contreras 10 games | MIL vs COL@MIL | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1983 | MLB | Willy Adames 10 games | SF vs LAA@SFG | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1984 | MLB | Xander Bogaerts 10 games | SD vs SDP@MIA | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1985 | MLB | Xander Bogaerts 10 games | SD vs SDP@MIA | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1986 | MLB | Xavier Edwards 10 games | MIA vs SDP@MIA | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1987 | MLB | Xavier Edwards 10 games | MIA vs SDP@MIA | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1988 | MLB | Yainer Diaz 10 games | HOU vs HOU@CHW | RBI | 0.5 | +248 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1989 | MLB | Yainer Diaz 10 games | HOU vs HOU@CHW | TB | 1.5 | +160 | 0.6 | -0.9 | 0/5 | -1.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1990 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | RBI | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1991 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | TB | 1.5 | +120 | 0.6 | -0.9 | 0/5 | -1.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1992 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1993 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1994 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1995 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1996 | MLB | Daniel Susac 10 games | SF vs LAA@SFG | H | 0.5 | -140 | 0.4 | -0.1 | 1/5 | +0.4 | 25 | F | 0.0 | LOSS | WIN | |
| 1997 | MLB | Heliot Ramos 10 games | SF vs LAA@SFG | H | 0.5 | -235 | 0.4 | -0.1 | 2/5 | -0.8 | 25 | F | 1.0 | WIN | LOSS | |
| 1998 | MLB | Jorge Polanco 9 games | NYM vs LAD@NYM | H | 0.5 | -150 | 0.2 | -0.3 | 1/5 | -0.1 | 25 | F | 0.0 | LOSS | WIN | |
| 1999 | MLB | Jose Caballero 10 games | NYY vs NYY@PHI | H | 0.5 | -150 | 0.4 | -0.1 | 1/5 | +-0 | 25 | F | 1.0 | WIN | LOSS | |
| 2000 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | H | 0.5 | -140 | 0.4 | -0.1 | 1/5 | +0.3 | 25 | 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.