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 | Myles Straw 10 games | TOR vs TOR@BOS | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2002 | MLB | Myles Straw 10 games | TOR vs TOR@BOS | TB | 1.5 | +220 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2003 | MLB | Nathan Church 10 games | STL vs CIN@STL | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 2004 | MLB | Nathan Church 10 games | STL vs CIN@STL | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2005 | MLB | Nick Loftin 10 games | KC vs KCR@DET | R | 1.5 | +2000 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2006 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2007 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | RBI | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 2008 | MLB | Nolan Schanuel 10 games | LAA vs LAA@SFG | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2009 | MLB | Nolan Schanuel 10 games | LAA vs LAA@SFG | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 2010 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@PHI | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 2011 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@PHI | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 2012 | MLB | Pete Alonso 10 games | BAL vs ATL@BAL | H | 1.5 | +260 | 0.4 | -1.1 | 0/5 | +-0 | 26 | F | 2.0 | WIN | LOSS | |
| 2013 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@PIT | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 2014 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | R | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 2015 | MLB | Randy Arozarena 10 games | SEA vs SEA@TEX | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 2016 | MLB | Rhett Lowder 9 games | CIN vs CIN@STL | K | 3.5 | +120 | 2.6 | -0.9 | 1/5 | -2.1 | 26 | F | 4.0 | WIN | LOSS | |
| 2017 | MLB | Roki Sasaki 8 games | LAD vs LAD@NYM | K | 5.5 | +128 | 4.2 | -1.3 | 1/5 | -0.9 | 26 | F | 9.0 | WIN | LOSS | |
| 2018 | MLB | Royce Lewis 10 games | MIN vs Athletics@ | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2019 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | H | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 2020 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | R | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2021 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | RBI | 1.5 | +600 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2022 | MLB | Ryan Kreidler 10 games | MIN vs Athletics@ | TB | 1.5 | +195 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 2023 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | -1.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2024 | MLB | Ryan Vilade 10 games | TB vs CLE@TBR | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 2025 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 2026 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 1.0 | LOSS | WIN | |
| 2027 | MLB | Sam Antonacci 10 games | CWS vs HOU@CHW | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2028 | MLB | Sam Antonacci 10 games | CWS vs HOU@CHW | TB | 1.5 | +149 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | 3.0 | WIN | LOSS | |
| 2029 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | H | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 2030 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | R | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2031 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2032 | MLB | Sam Huff 8 games | BAL vs ATL@BAL | TB | 1.5 | +250 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2033 | MLB | Shane McClanahan 9 games | TB vs CLE@TBR | K | 5.5 | +110 | 3.8 | -1.7 | 0/5 | -0.2 | 26 | F | 3.0 | LOSS | WIN | |
| 2034 | MLB | Shane McClanahan 9 games | TB vs CLE@TBR | K | 6.5 | +215 | 3.8 | -2.7 | 0/5 | -0.2 | 26 | F | 3.0 | LOSS | WIN | |
| 2035 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 1.5 | +550 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2036 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | H | 1.5 | +200 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 2037 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | R | 1.5 | +400 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2038 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYM | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 2039 | MLB | Starling Marte 10 games | KC vs KCR@DET | R | 1.5 | +2000 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2040 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 2041 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | RBI | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 2042 | 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 | |
| 2043 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | — | PENDING | PENDING | |
| 2044 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 2045 | MLB | Tommy Edman 10 games | LAD vs LAD@NYM | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 2046 | MLB | Tommy White 5 games | ATH vs Athletics@ | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 2047 | MLB | Tommy White 5 games | ATH vs Athletics@ | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 2048 | MLB | Travis Bazzana 10 games | CLE vs CLE@TBR | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 2049 | MLB | Trent Grisham 10 games | NYY vs NYY@PHI | R | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 2050 | MLB | Trent Grisham 10 games | NYY vs NYY@PHI | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 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.