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 | Kevin McGonigle 10 games | DET vs KCR@DET | R | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1952 | MLB | Kevin McGonigle 10 games | DET vs KCR@DET | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 1953 | MLB | Kody Clemens 10 games | MIN vs Athletics@ | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1954 | MLB | Kody Clemens 10 games | MIN vs Athletics@ | RBI | 1.5 | +475 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 1955 | MLB | Kyle Karros 10 games | COL vs COL@MIL | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1956 | MLB | Kyle Karros 10 games | COL vs COL@MIL | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1957 | MLB | Kyle Karros 10 games | COL vs COL@MIL | TB | 1.5 | +175 | 0.6 | -0.9 | 0/5 | -0.9 | 26 | F | 3.0 | WIN | LOSS | |
| 1958 | MLB | Kyle Schwarber 10 games | PHI vs NYY@PHI | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1959 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1960 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 1961 | MLB | LaMonte Wade Jr. 10 games | HOU vs HOU@CHW | H | 0.5 | -112 | 0 | -0.5 | 0/5 | -0.4 | 26 | F | 1.0 | WIN | LOSS | |
| 1962 | MLB | LaMonte Wade Jr. 10 games | HOU vs HOU@CHW | H | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1963 | MLB | LaMonte Wade Jr. 10 games | HOU vs HOU@CHW | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1964 | MLB | LaMonte Wade Jr. 10 games | HOU vs HOU@CHW | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 1965 | MLB | Lane Thomas 10 games | KC vs KCR@DET | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1966 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1967 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1968 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1969 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1970 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@SFG | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1971 | MLB | Lucas Spence 6 games | HOU vs HOU@CHW | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1972 | MLB | Lucas Spence 6 games | HOU vs HOU@CHW | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1973 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | H | 1.5 | +160 | 0.6 | -0.9 | 0/5 | -0.7 | 26 | F | 3.0 | WIN | LOSS | |
| 1974 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | R | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1975 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1976 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | H | 1.5 | +380 | 0.3 | -1.2 | 0/3 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1977 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | R | 1.5 | +1300 | 0.3 | -1.2 | 0/3 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1978 | MLB | Luis Robert Jr. 3 games | NYM vs LAD@NYM | RBI | 1.5 | +700 | 0.3 | -1.2 | 0/3 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 1979 | MLB | Luke Keaschall 10 games | MIN vs Athletics@ | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1980 | MLB | MacKenzie Gore 10 games | TEX vs SEA@TEX | K | 7.5 | +230 | 6 | -1.5 | 0/5 | +0 | 26 | F | 5.0 | LOSS | WIN | |
| 1981 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1982 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1983 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | H | 1.5 | +260 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1984 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | R | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1985 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 0.0 | LOSS | WIN | |
| 1986 | MLB | Masyn Winn 10 games | STL vs CIN@STL | H | 1.5 | +260 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1987 | MLB | Masyn Winn 10 games | STL vs CIN@STL | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1988 | MLB | Masyn Winn 10 games | STL vs CIN@STL | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1989 | MLB | Masyn Winn 10 games | STL vs CIN@STL | TB | 1.5 | +155 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1990 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1991 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 3.0 | WIN | LOSS | |
| 1992 | MLB | Matt Vierling 10 games | DET vs KCR@DET | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1993 | MLB | Matt Vierling 10 games | DET vs KCR@DET | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1994 | MLB | Matthew Boyd 5 games | CHC vs CHC@PIT | K | 4.5 | -220 | 4 | -0.5 | 1/5 | +0.7 | 26 | F | 4.0 | LOSS | WIN | |
| 1995 | MLB | Max Muncy 10 games | ATH vs LAD@NYM | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | — | PENDING | PENDING | |
| 1996 | MLB | Mike Trout 10 games | LAA vs LAA@SFG | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1997 | MLB | Mike Trout 10 games | LAA vs LAA@SFG | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1998 | MLB | Munetaka Murakami 10 games | CWS vs HOU@CHW | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1999 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | H | 1.5 | +380 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2000 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | R | 1.5 | +1500 | 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.