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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 51 | MLB | Thomas Saggese 8 games | SF vs STL | RBI | 0.5 | +309 | 1 | +0.5 | 3/5 | -0.3 | 55 | D | 0.0 | LOSS | WIN | |
| 52 | MLB | Tyrone Taylor 10 games | MIL vs CHC | RBI | 0.5 | +195 | 1.2 | +0.7 | 3/5 | +0.3 | 55 | D | 0.0 | LOSS | WIN | |
| 53 | MLB | William Contreras 10 games | MIL vs CHC | RBI | 0.5 | +200 | 0.8 | +0.3 | 4/5 | -0.2 | 55 | D | 0.0 | LOSS | WIN | |
| 54 | MLB | Drew Cavanaugh 10 games | SF vs STL | H | 0.5 | -144 | 1.2 | +0.7 | 4/5 | -0.2 | 54 | F | 0.0 | LOSS | WIN | |
| 55 | MLB | Garrett Mitchell 10 games | MIL vs CHC | H | 0.5 | -146 | 1 | +0.5 | 4/5 | +0.1 | 54 | F | 1.0 | WIN | LOSS | |
| 56 | MLB | Keibert Ruiz 10 games | SD vs WSH | H | 0.5 | -145 | 1.4 | +0.9 | 4/5 | +0.1 | 54 | F | 0.0 | LOSS | WIN | |
| 57 | MLB | Lawrence Butler 10 games | OAK vs TOR | H | 0.5 | -140 | 1 | +0.5 | 4/5 | -0.3 | 54 | F | 0.0 | LOSS | WIN | |
| 58 | MLB | Myles Straw 10 games | OAK vs TOR | H | 0.5 | -141 | 1.2 | +0.7 | 4/5 | +0.2 | 54 | F | 0.0 | LOSS | WIN | |
| 59 | MLB | Royce Lewis 10 games | DET vs MIN | H | 0.5 | -145 | 1.4 | +0.9 | 4/5 | +0.1 | 54 | F | 0.0 | LOSS | WIN | |
| 60 | MLB | Zack Gelof 10 games | OAK vs TOR | H | 0.5 | -145 | 1.4 | +0.9 | 4/5 | -0.1 | 54 | F | 1.0 | WIN | LOSS | |
| 61 | MLB | Alec Bohm 10 games | PHI vs ATL | RBI | 0.5 | +190 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 62 | MLB | Alejandro Kirk 10 games | OAK vs TOR | H | 0.5 | -245 | 1.2 | +0.7 | 4/5 | +0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 63 | MLB | Andrew Vaughn 9 games | MIL vs CHC | H | 0.5 | -196 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 64 | MLB | Bo Bichette 10 games | MIA vs NYM | H | 0.5 | -265 | 1.2 | +0.7 | 4/5 | +0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 65 | MLB | Carson Benge 10 games | MIA vs NYM | H | 0.5 | -183 | 1 | +0.5 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 66 | MLB | Chase DeLauter 10 games | BAL vs CLE | H | 0.5 | -204 | 1.6 | +1.1 | 3/5 | +0 | 52 | F | — | PENDING | PENDING | |
| 67 | MLB | Christian Encarnacion-Strand 10 games | BAL vs CLE | H | 0.5 | -154 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 68 | MLB | Christian Yelich 10 games | MIL vs CHC | H | 0.5 | -213 | 1 | +0.5 | 4/5 | -0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 69 | MLB | Cooper Pratt 10 games | MIL vs CHC | H | 0.5 | -161 | 1 | +0.5 | 4/5 | -0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 70 | MLB | Drake Baldwin 10 games | PHI vs ATL | H | 0.5 | -182 | 1.2 | +0.7 | 4/5 | +0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 71 | MLB | Ernie Clement 10 games | OAK vs TOR | H | 0.5 | -250 | 1 | +0.5 | 4/5 | +0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 72 | MLB | Gleyber Torres 10 games | DET vs MIN | H | 0.5 | -185 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 73 | MLB | Griffin Conine 10 games | MIA vs NYM | RBI | 0.5 | +196 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 74 | MLB | Jeff McNeil 10 games | OAK vs TOR | H | 0.5 | -197 | 1.4 | +0.9 | 4/5 | -0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 75 | MLB | Joe Mack 10 games | MIA vs NYM | RBI | 0.5 | +283 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 76 | MLB | Jonah Heim 10 games | OAK vs TOR | H | 0.5 | -152 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 77 | MLB | Josh Bell 10 games | DET vs MIN | H | 0.5 | -192 | 1.4 | +0.9 | 4/5 | +0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 78 | MLB | Jung Hoo Lee 10 games | SF vs STL | RBI | 0.5 | +180 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 79 | MLB | Kyle Stowers 10 games | MIA vs NYM | H | 0.5 | -192 | 1.2 | +0.7 | 4/5 | -0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 80 | MLB | Manny Machado 10 games | SD vs WSH | H | 0.5 | -217 | 1.4 | +0.9 | 4/5 | -0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 81 | MLB | Matt McLain 10 games | LAD vs CIN | RBI | 0.5 | +278 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 82 | MLB | Michael Massey 10 games | KC vs ARI | H | 0.5 | -227 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 83 | MLB | Mookie Betts 10 games | LAD vs CIN | H | 0.5 | -205 | 1.4 | +0.9 | 4/5 | +0.3 | 52 | F | — | PENDING | PENDING | |
| 84 | MLB | Nick Loftin 10 games | KC vs ARI | H | 0.5 | -186 | 1 | +0.5 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 85 | MLB | Nolan Gorman 10 games | SF vs STL | RBI | 0.5 | +287 | 0.8 | +0.3 | 3/5 | +0.8 | 52 | F | 0.0 | LOSS | WIN | |
| 86 | MLB | Sal Stewart 10 games | LAD vs CIN | H | 0.5 | -192 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 87 | MLB | Wade Meckler 10 games | BOS vs LAA | H | 0.5 | -177 | 1.4 | +0.9 | 4/5 | +0 | 52 | F | 1.0 | WIN | LOSS | |
| 88 | MLB | William Contreras 10 games | MIL vs CHC | H | 0.5 | -209 | 1.2 | +0.7 | 4/5 | -0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 89 | MLB | Bo Bichette 10 games | MIA vs NYM | RBI | 0.5 | +200 | 1 | +0.5 | 2/5 | +1.2 | 51 | F | 1.0 | WIN | LOSS | |
| 90 | MLB | Tyrone Taylor 10 games | MIL vs CHC | H | 0.5 | -143 | 1.4 | +0.9 | 4/5 | -0.7 | 51 | F | 1.0 | WIN | LOSS | |
| 91 | MLB | Coby Mayo 10 games | BAL vs CLE | H | 0.5 | -130 | 0.8 | +0.3 | 4/5 | -0.3 | 50 | F | 2.0 | WIN | LOSS | |
| 92 | MLB | Alec Burleson 10 games | SF vs STL | H | 0.5 | -305 | 1 | +0.5 | 3/5 | +0.9 | 49 | F | 1.0 | WIN | LOSS | |
| 93 | MLB | Alec Burleson 10 games | SF vs STL | RBI | 0.5 | +169 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 94 | MLB | Andrew Vaughn 9 games | MIL vs CHC | RBI | 0.5 | +183 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 95 | MLB | Brooks Lee 10 games | DET vs MIN | RBI | 0.5 | +208 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 96 | MLB | Fernando Tatis Jr. 10 games | SD vs WSH | RBI | 0.5 | +160 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 97 | MLB | Henry Bolte 10 games | OAK vs TOR | H | 0.5 | -157 | 1.4 | +0.9 | 4/5 | -0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 98 | MLB | Kazuma Okamoto 10 games | OAK vs TOR | H | 0.5 | -200 | 1.2 | +0.7 | 3/5 | +0.8 | 49 | F | 1.0 | WIN | LOSS | |
| 99 | MLB | Kyle Schwarber 10 games | PHI vs ATL | RBI | 0.5 | +140 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 100 | MLB | Kyle Stowers 10 games | MIA vs NYM | HR | 0.5 | +360 | 0.6 | +0.1 | 3/5 | +0 | 49 | 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.