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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101 | MLB | Coby Mayo 10 games | BAL vs SEA@BAL | TB | 1.5 | +180 | 2.2 | +0.7 | 3/5 | +0 | 55 | D | 0.0 | LOSS | WIN | |
| 102 | MLB | Colton Cowser 10 games | BAL vs SEA@BAL | RBI | 0.5 | +241 | 0.8 | +0.3 | 4/5 | +0.2 | 55 | D | 0.0 | LOSS | WIN | |
| 103 | MLB | Emerson Hancock 10 games | SEA vs SEA@BAL | K | 3.5 | -400 | 4.8 | +1.3 | 4/5 | -0.9 | 55 | D | 3.0 | LOSS | WIN | |
| 104 | MLB | Jhonny Pereda 10 games | SEA vs SEA@BAL | TB | 1.5 | +200 | 2.2 | +0.7 | 3/5 | -0.4 | 55 | D | 1.0 | LOSS | WIN | |
| 105 | MLB | Josh Naylor 10 games | SEA vs SEA@BAL | R | 0.5 | +110 | 0.8 | +0.3 | 4/5 | +0.4 | 55 | D | 2.0 | WIN | LOSS | |
| 106 | MLB | Jung Hoo Lee 10 games | SF vs WSN@SFG | R | 0.5 | +130 | 1 | +0.5 | 3/5 | -0.3 | 55 | D | 2.0 | WIN | LOSS | |
| 107 | MLB | Rafael Devers 10 games | SF vs WSN@SFG | R | 0.5 | +100 | 0.8 | +0.3 | 4/5 | +0.1 | 55 | D | 0.0 | LOSS | WIN | |
| 108 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | H | 0.5 | -155 | 1 | +0.5 | 4/5 | +0.6 | 55 | D | 1.0 | WIN | LOSS | |
| 109 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | RBI | 0.5 | +237 | 1.2 | +0.7 | 3/5 | -0.1 | 55 | D | 0.0 | LOSS | WIN | |
| 110 | MLB | Taylor Ward 10 games | BAL vs SEA@BAL | R | 0.5 | +120 | 0.8 | +0.3 | 4/5 | +-0 | 55 | D | 0.0 | LOSS | WIN | |
| 111 | MLB | Taylor Ward 10 games | BAL vs SEA@BAL | TB | 1.5 | +160 | 2.4 | +0.9 | 3/5 | +0.2 | 55 | D | 2.0 | WIN | LOSS | |
| 112 | MLB | Trent Grisham 10 games | NYY vs NYY@CLE | H | 0.5 | -160 | 1.4 | +0.9 | 4/5 | +0.6 | 55 | D | 2.0 | WIN | LOSS | |
| 113 | MLB | Yandy Diaz 10 games | TB vs BOS@TBR | TB | 1.5 | +105 | 2 | +0.5 | 3/5 | +0 | 55 | D | — | PENDING | PENDING | |
| 114 | MLB | Yohendrick Pinango 5 games | TOR vs PHI@TOR | H | 0.5 | +105 | 1 | +0.5 | 3/5 | +0.3 | 55 | D | — | PENDING | PENDING | |
| 115 | NBA | Devin Vassell 10 games | SAS vs NYK | REB | 5.50 | +135 | 5.8 | +0.3 | 3/5 | +2.3 | 54 | F | 4.0 | LOSS | WIN | |
| 116 | NBA | Josh Hart 10 games | NYK vs SAS | REB | 7.50 | -170 | 9 | +1.5 | 3/5 | +2 | 54 | F | 9.0 | WIN | LOSS | |
| 117 | NBA | Karl-Anthony Towns 10 games | NYK vs SAS | 3PM | 1.50 | +130 | 2 | +0.5 | 3/5 | +0.3 | 54 | F | 0.0 | LOSS | WIN | |
| 118 | NBA | OG Anunoby 10 games | NYK vs SAS | AST | 2.50 | +250 | 2.8 | +0.3 | 4/5 | +0.4 | 54 | F | 1.0 | LOSS | WIN | |
| 119 | MLB | Brent Rooker 10 games | ATH vs MIL@Athlet | TB | 1.5 | +120 | 2.4 | +0.9 | 2/5 | +1.7 | 54 | F | 0.0 | LOSS | WIN | |
| 120 | MLB | Freddy Fermin 10 games | SD vs CIN@SDP | TB | 1.5 | +220 | 2 | +0.5 | 2/5 | +2.3 | 54 | F | 5.0 | WIN | LOSS | |
| 121 | MLB | Matt Chapman 10 games | SF vs WSN@SFG | RBI | 1.5 | +600 | 2.4 | +0.9 | 2/5 | +1.6 | 54 | F | 1.0 | LOSS | WIN | |
| 122 | MLB | Yordan Alvarez 10 games | HOU vs HOU@LAA | TB | 1.5 | -110 | 2.4 | +0.9 | 3/5 | +0 | 54 | F | 0.0 | LOSS | WIN | |
| 123 | MLB | Nathan Lukes 10 games | TOR vs PHI@TOR | H | 0.5 | -135 | 1.2 | +0.7 | 4/5 | -0.6 | 53 | F | 1.0 | WIN | LOSS | |
| 124 | MLB | Alec Bohm 10 games | PHI vs PHI@TOR | H | 1.5 | +200 | 1.6 | +0.1 | 3/5 | +0.6 | 52 | F | 1.0 | LOSS | WIN | |
| 125 | MLB | Alika Williams 8 games | ATH vs MIL@Athlet | R | 0.5 | +150 | 0.6 | +0.1 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 126 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TBR | TB | 1.5 | +170 | 1.8 | +0.3 | 3/5 | +1.1 | 52 | F | 0.0 | LOSS | WIN | |
| 127 | MLB | Brandon Marsh 10 games | PHI vs PHI@TOR | HR | 0.5 | +1000 | 0.6 | +0.1 | 3/5 | +0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 128 | MLB | Brandon Marsh 10 games | PHI vs PHI@TOR | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | +0.8 | 52 | F | 1.0 | WIN | LOSS | |
| 129 | MLB | Brent Rooker 10 games | ATH vs MIL@Athlet | H | 0.5 | -165 | 1 | +0.5 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 130 | MLB | Bryce Eldridge 10 games | SF vs WSN@SFG | H | 0.5 | -165 | 1.4 | +0.9 | 4/5 | -0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 131 | MLB | Caleb Durbin 10 games | BOS vs BOS@TBR | H | 0.5 | -160 | 1 | +0.5 | 4/5 | -0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 132 | MLB | Christian Walker 10 games | HOU vs HOU@LAA | H | 0.5 | -200 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 133 | MLB | Christian Yelich 10 games | MIL vs MIL@Athlet | H | 0.5 | -250 | 1.4 | +0.9 | 4/5 | +0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 134 | MLB | Christian Yelich 10 games | MIL vs MIL@Athlet | R | 0.5 | -118 | 1 | +0.5 | 3/5 | +0 | 52 | F | 2.0 | WIN | LOSS | |
| 135 | MLB | Daylen Lile 10 games | WSH vs WSN@SFG | R | 0.5 | +175 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 136 | MLB | Ernie Clement 10 games | TOR vs PHI@TOR | H | 0.5 | -260 | 1.4 | +0.9 | 4/5 | -0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 137 | MLB | Fernando Tatis Jr. 10 games | SD vs CIN@SDP | H | 0.5 | -225 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 138 | MLB | Gunnar Henderson 10 games | BAL vs SEA@BAL | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 139 | MLB | Isaac Paredes 10 games | HOU vs HOU@LAA | H | 0.5 | -190 | 1.2 | +0.7 | 4/5 | +0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 140 | MLB | Josh Naylor 10 games | SEA vs SEA@BAL | H | 0.5 | -260 | 1.2 | +0.7 | 4/5 | +0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 141 | MLB | Jung Hoo Lee 10 games | SF vs WSN@SFG | H | 1.5 | +190 | 2 | +0.5 | 3/5 | -1 | 52 | F | 4.0 | WIN | LOSS | |
| 142 | MLB | Luis Rengifo 10 games | MIL vs MIL@Athlet | RBI | 0.5 | +142 | 0.8 | +0.3 | 3/5 | +0.8 | 52 | F | 0.0 | LOSS | WIN | |
| 143 | MLB | Miles Mikolas 9 games | WSH vs WSN@SFG | K | 2.5 | -215 | 3 | +0.5 | 4/5 | +0.1 | 52 | F | 2.0 | LOSS | WIN | |
| 144 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CLE | H | 0.5 | -167 | 1.4 | +0.9 | 4/5 | -0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 145 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CLE | TB | 1.5 | +175 | 2.4 | +0.9 | 3/5 | -1.3 | 52 | F | 4.0 | WIN | LOSS | |
| 146 | MLB | Randy Arozarena 10 games | SEA vs SEA@BAL | H | 0.5 | -220 | 1 | +0.5 | 4/5 | +0.4 | 52 | F | 3.0 | WIN | LOSS | |
| 147 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | TB | 1.5 | +185 | 1.8 | +0.3 | 3/5 | +0.6 | 52 | F | 1.0 | LOSS | WIN | |
| 148 | MLB | Sal Frelick 10 games | MIL vs MIL@Athlet | RBI | 0.5 | +180 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 149 | MLB | Shea Langeliers 10 games | ATH vs MIL@Athlet | H | 0.5 | -260 | 1 | +0.5 | 4/5 | +-0 | 52 | F | 3.0 | WIN | LOSS | |
| 150 | MLB | Trea Turner 10 games | PHI vs PHI@TOR | H | 0.5 | -320 | 1 | +0.5 | 4/5 | +0 | 52 | 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.