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 | Xavier Edwards 10 games | MIA vs MIA@STL | R | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 2002 | MLB | Xavier Edwards 10 games | MIA vs MIA@STL | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 2003 | MLB | Xavier Edwards 10 games | MIA vs MIA@STL | TB | 1.5 | +130 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 4.0 | WIN | LOSS | |
| 2004 | MLB | Yainer Diaz 7 games | HOU vs HOU@DET | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 2005 | MLB | Yainer Diaz 7 games | HOU vs HOU@DET | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2006 | MLB | Yandy Diaz 7 games | TB vs ARI@TBR | R | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 2007 | MLB | Yandy Diaz 7 games | TB vs ARI@TBR | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2008 | MLB | Yordan Alvarez 10 games | HOU vs HOU@DET | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 2009 | MLB | Yordan Alvarez 10 games | HOU vs HOU@DET | TB | 2.5 | +190 | 1.4 | -1.1 | 1/5 | -1.3 | 26 | F | — | PENDING | PENDING | |
| 2010 | MLB | Yoshinobu Yamamoto 7 games | LAD vs LAD@SDP | K | 7.5 | +215 | 6 | -1.5 | 1/5 | -0.9 | 26 | F | 4.0 | LOSS | WIN | |
| 2011 | MLB | Zach McKinstry 10 games | DET vs HOU@DET | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2012 | MLB | Zach McKinstry 10 games | DET vs HOU@DET | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2013 | MLB | Cole Young 10 games | SEA vs SEA@CLE | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.8 | 25 | F | 1.0 | WIN | LOSS | |
| 2014 | MLB | Jimmy Crooks 10 games | STL vs MIA@STL | H | 0.5 | -148 | 0.2 | -0.3 | 1/5 | -0.3 | 25 | F | 0.0 | LOSS | WIN | |
| 2015 | MLB | Pete Alonso 10 games | BAL vs WSN@BAL | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 2016 | MLB | Tristan Peters 10 games | CWS vs KCR@CHW | H | 0.5 | -150 | 0.2 | -0.3 | 1/5 | -0.3 | 25 | F | 0.0 | LOSS | WIN | |
| 2017 | MLB | Victor Mesa Jr. 10 games | TB vs ARI@TBR | H | 0.5 | -136 | 0.4 | -0.1 | 1/5 | +0.3 | 25 | F | 2.0 | WIN | LOSS | |
| 2018 | MLB | Willson Contreras 10 games | BOS vs NYY@BOS | H | 0.5 | -196 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 2019 | MLB | Ha-Seong Kim 10 games | ATL vs ATL@SFG | H | 0.5 | -135 | 0 | -0.5 | 0/5 | -0.1 | 24 | F | 0.0 | LOSS | WIN | |
| 2020 | MLB | Jacob Gonzalez 10 games | CWS vs KCR@CHW | H | 0.5 | -125 | 0 | -0.5 | 0/5 | -0.2 | 24 | F | 1.0 | WIN | LOSS | |
| 2021 | MLB | James Wood 10 games | WSH vs WSN@BAL | R | 0.5 | -125 | 0.4 | -0.1 | 1/5 | -1 | 24 | F | 0.0 | LOSS | WIN | |
| 2022 | MLB | Kahlil Watson 3 games | CLE vs SEA@CLE | H | 0.5 | -125 | 0 | -0.5 | 0/3 | +0 | 24 | F | 1.0 | WIN | LOSS | |
| 2023 | MLB | Alec Burleson 10 games | STL vs MIA@STL | R | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2024 | MLB | Alejandro Kirk 6 games | TOR vs TEX@TOR | TB | 1.5 | +140 | 0.4 | -1.1 | 0/5 | -0.7 | 23 | F | 4.0 | WIN | LOSS | |
| 2025 | MLB | Bo Bichette 10 games | NYM vs PHI@NYM | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.7 | 23 | F | 1.0 | LOSS | WIN | |
| 2026 | MLB | Brice Matthews 10 games | HOU vs HOU@DET | H | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2027 | MLB | Ceddanne Rafaela 10 games | BOS vs NYY@BOS | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 2028 | MLB | Cole Young 10 games | SEA vs SEA@CLE | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | -0.8 | 23 | F | 1.0 | LOSS | WIN | |
| 2029 | MLB | Colt Emerson 10 games | SEA vs SEA@CLE | TB | 1.5 | +210 | 0.4 | -1.1 | 0/5 | -1 | 23 | F | 0.0 | LOSS | WIN | |
| 2030 | MLB | Davis Martin 9 games | CWS vs KCR@CHW | K | 6.5 | +215 | 4.8 | -1.7 | 1/5 | -2.3 | 23 | F | 3.0 | LOSS | WIN | |
| 2031 | MLB | Daylen Lile 10 games | WSH vs WSN@BAL | H | 1.5 | +220 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 2.0 | WIN | LOSS | |
| 2032 | MLB | Daylen Lile 10 games | WSH vs WSN@BAL | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 2033 | MLB | Daylen Lile 10 games | WSH vs WSN@BAL | TB | 1.5 | +120 | 0.2 | -1.3 | 0/5 | -1.3 | 23 | F | 3.0 | WIN | LOSS | |
| 2034 | MLB | Drake Baldwin 10 games | ATL vs ATL@SFG | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 0.0 | LOSS | WIN | |
| 2035 | MLB | Ernie Clement 10 games | TOR vs TEX@TOR | TB | 1.5 | +152 | 0.4 | -1.1 | 0/5 | -0.9 | 23 | F | 4.0 | WIN | LOSS | |
| 2036 | MLB | Ezequiel Tovar 10 games | COL vs COL@MIN | H | 0.5 | -153 | 0.4 | -0.1 | 1/5 | -0.2 | 23 | F | 1.0 | WIN | LOSS | |
| 2037 | MLB | Foster Griffin 9 games | WSH vs WSN@BAL | K | 6.5 | +126 | 5.2 | -1.3 | 0/5 | -0.6 | 23 | F | 9.0 | WIN | LOSS | |
| 2038 | MLB | Foster Griffin 9 games | WSH vs WSN@BAL | K | 7.5 | +230 | 5.2 | -2.3 | 0/5 | -0.6 | 23 | F | 9.0 | WIN | LOSS | |
| 2039 | MLB | Garrett Mitchell 10 games | MIL vs CHC@MIL | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2040 | MLB | Ivan Herrera 10 games | STL vs MIA@STL | TB | 1.5 | +140 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 1.0 | LOSS | WIN | |
| 2041 | MLB | J.P. Crawford 10 games | SEA vs SEA@CLE | H | 1.5 | +280 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2042 | MLB | J.P. Crawford 10 games | SEA vs SEA@CLE | TB | 1.5 | +150 | 0.2 | -1.3 | 0/5 | -1 | 23 | F | 0.0 | LOSS | WIN | |
| 2043 | MLB | Jackson Chourio 10 games | MIL vs CHC@MIL | TB | 2.5 | +200 | 1.4 | -1.1 | 1/5 | -2.2 | 23 | F | 4.0 | WIN | LOSS | |
| 2044 | MLB | Jackson Holliday 10 games | BAL vs WSN@BAL | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2045 | MLB | Jake Bauers 10 games | MIL vs CHC@MIL | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2046 | MLB | Jake Bauers 10 games | MIL vs CHC@MIL | TB | 1.5 | +200 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 2047 | MLB | Jared Young 10 games | NYM vs PHI@NYM | TB | 1.5 | +180 | 0.2 | -1.3 | 0/5 | -0.9 | 23 | F | 0.0 | LOSS | WIN | |
| 2048 | MLB | Jasson Domínguez 10 games | NYY vs NYY@BOS | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2049 | MLB | JJ Wetherholt 10 games | STL vs MIA@STL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 2050 | MLB | Matt Chapman 10 games | SF vs ATL@SFG | H | 1.5 | +360 | 0.2 | -1.3 | 0/5 | -0.9 | 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.