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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001 | MLB | Yainer Diaz 10 games | HOU vs HOU@CHW | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2002 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | H | 1.5 | +190 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 2003 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 0.0 | LOSS | WIN | |
| 2004 | MLB | Yandy Diaz 10 games | TB vs CLE@TBR | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2005 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2006 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2007 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2008 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2009 | MLB | Ben Rice 10 games | NYY vs NYY@PHI | H | 0.5 | -185 | 0.4 | -0.1 | 2/5 | -0.9 | 25 | F | 2.0 | WIN | LOSS | |
| 2010 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 2.0 | WIN | LOSS | |
| 2011 | MLB | Heliot Ramos 10 games | SF vs LAA@SFG | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 2012 | MLB | Josh Bell 10 games | MIN vs Athletics@ | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | — | PENDING | PENDING | |
| 2013 | MLB | Parker Messick 10 games | CLE vs CLE@TBR | K | 4.5 | -115 | 3.2 | -1.3 | 2/5 | -2 | 25 | F | 6.0 | WIN | LOSS | |
| 2014 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | H | 0.5 | -140 | 0.2 | -0.3 | 1/5 | -0.1 | 25 | F | 3.0 | WIN | LOSS | |
| 2015 | MLB | Byron Buxton 10 games | MIN vs Athletics@ | TB | 1.5 | -130 | 0.8 | -0.7 | 1/5 | -0.8 | 24 | F | 0.0 | LOSS | WIN | |
| 2016 | MLB | Jackson Chourio 10 games | MIL vs COL@MIL | R | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.8 | 24 | F | 2.0 | WIN | LOSS | |
| 2017 | MLB | Alex Bregman 10 games | CHC vs CHC@PIT | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.9 | 23 | F | — | PENDING | PENDING | |
| 2018 | MLB | Austin Riley 10 games | ATL vs ATL@BAL | R | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2019 | MLB | Ben Rice 10 games | NYY vs NYY@PHI | H | 1.5 | +260 | 0.4 | -1.1 | 0/5 | -0.9 | 23 | F | 2.0 | WIN | LOSS | |
| 2020 | MLB | Ben Rice 10 games | NYY vs NYY@PHI | TB | 1.5 | +141 | 0.4 | -1.1 | 0/5 | -1.5 | 23 | F | 6.0 | WIN | LOSS | |
| 2021 | MLB | Braden Montgomery 10 games | CWS vs HOU@CHW | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 2022 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | H | 1.5 | +260 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 3.0 | WIN | LOSS | |
| 2023 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | R | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 2.0 | WIN | LOSS | |
| 2024 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | TB | 1.5 | +105 | 0.2 | -1.3 | 0/5 | -1.2 | 23 | F | 4.0 | WIN | LOSS | |
| 2025 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | TB | 2.5 | +170 | 0.2 | -2.3 | 0/5 | -1.2 | 23 | F | 4.0 | WIN | LOSS | |
| 2026 | MLB | Bryan Reynolds 10 games | PIT vs CHC@PIT | H | 1.5 | +230 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 1.0 | LOSS | WIN | |
| 2027 | MLB | Bryan Reynolds 10 games | PIT vs CHC@PIT | TB | 1.5 | +115 | 0.2 | -1.3 | 0/5 | -1.2 | 23 | F | 2.0 | WIN | LOSS | |
| 2028 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.7 | 23 | F | 2.0 | WIN | LOSS | |
| 2029 | MLB | Cam Smith 10 games | HOU vs HOU@CHW | H | 0.5 | -180 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 2030 | MLB | Colson Montgomery 10 games | CWS vs HOU@CHW | R | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | — | PENDING | PENDING | |
| 2031 | MLB | Davis Schneider 10 games | TOR vs TOR@BOS | TB | 1.5 | +240 | 0 | -1.5 | 0/5 | -0.9 | 23 | F | 0.0 | LOSS | WIN | |
| 2032 | MLB | Denzer Guzman 10 games | LAA vs LAA@SFG | TB | 1.5 | +220 | 0.4 | -1.1 | 0/5 | -0.9 | 23 | F | 1.0 | LOSS | WIN | |
| 2033 | MLB | Edgar Quero 10 games | CWS vs HOU@CHW | H | 0.5 | -155 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | — | PENDING | PENDING | |
| 2034 | MLB | Enmanuel Valdez 10 games | PIT vs CHC@PIT | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 2.0 | WIN | LOSS | |
| 2035 | MLB | Francisco Lindor 10 games | NYM vs LAD@NYM | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 2036 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | H | 0.5 | -300 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 1.0 | WIN | LOSS | |
| 2037 | MLB | Heliot Ramos 10 games | SF vs LAA@SFG | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 2038 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 0.5 | -195 | 0.2 | -0.3 | 1/5 | +0 | 23 | F | 0.0 | LOSS | WIN | |
| 2039 | MLB | Jackson Chourio 10 games | MIL vs COL@MIL | R | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 2.0 | WIN | LOSS | |
| 2040 | MLB | Jorge Polanco 10 games | NYM vs LAD@NYM | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 0.0 | LOSS | WIN | |
| 2041 | MLB | Justin Crawford 10 games | PHI vs NYY@PHI | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 1.0 | WIN | LOSS | |
| 2042 | MLB | Lane Thomas 10 games | KC vs KCR@DET | H | 1.5 | +230 | 0.2 | -1.3 | 0/5 | -1 | 23 | F | 1.0 | LOSS | WIN | |
| 2043 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | TB | 1.5 | +180 | 0.4 | -1.1 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 2044 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | TB | 1.5 | +142 | 0.4 | -1.1 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 2045 | MLB | Michael Busch 10 games | CHC vs CHC@PIT | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.8 | 23 | F | 1.0 | LOSS | WIN | |
| 2046 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@BAL | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2047 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@BAL | TB | 1.5 | +170 | 0.4 | -1.1 | 0/5 | -0.5 | 23 | F | 0.0 | LOSS | WIN | |
| 2048 | MLB | Nick Kurtz 10 games | ATH vs Athletics@ | TB | 1.5 | +112 | 0 | -1.5 | 0/5 | -0.8 | 23 | F | 4.0 | WIN | LOSS | |
| 2049 | MLB | Parker Messick 10 games | CLE vs CLE@TBR | K | 5.5 | +165 | 3.2 | -2.3 | 1/5 | -2 | 23 | F | 6.0 | WIN | LOSS | |
| 2050 | MLB | Petey Halpin 10 games | CLE vs CLE@TBR | H | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.8 | 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.