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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301 | MLB | Luis Rengifo 10 games | SD vs SDP@ARI | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 302 | MLB | Marcus Semien 10 games | NYM vs NYM@CLE | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 2.0 | WIN | LOSS | |
| 303 | MLB | Matt Shaw 10 games | CHC vs TOR@CHC | R | 0.5 | +200 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | — | PENDING | PENDING | |
| 304 | MLB | Max Clark 5 games | DET vs DET@SEA | TB | 1.5 | +190 | 2.4 | +0.9 | 2/5 | -1.7 | 42 | F | 1.0 | LOSS | WIN | |
| 305 | MLB | Mike Yastrzemski 10 games | ATL vs MIA@ATL | H | 0.5 | -144 | 0.8 | +0.3 | 3/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 306 | MLB | Mike Yastrzemski 10 games | ATL vs MIA@ATL | RBI | 0.5 | +233 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 307 | MLB | Nick Sogard 6 games | BOS vs CHW@BOS | R | 0.5 | +100 | 0.8 | +0.3 | 2/5 | +0 | 42 | F | 2.0 | WIN | LOSS | |
| 308 | MLB | Nolan Arenado 10 games | AZ vs SDP@ARI | RBI | 0.5 | +195 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 309 | MLB | Ozzie Albies 10 games | ATL vs MIA@ATL | TB | 1.5 | +136 | 1.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 310 | MLB | Pete Alonso 10 games | BAL vs LAA@BAL | RBI | 0.5 | +130 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 311 | MLB | Ranger Suarez 8 games | BOS vs CHW@BOS | K | 5.5 | -146 | 6 | +0.5 | 3/5 | -1.7 | 42 | F | 3.0 | LOSS | WIN | |
| 312 | MLB | Royce Lewis 10 games | MIN vs MIN@KCR | RBI | 0.5 | +165 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 313 | MLB | Spencer Torkelson 10 games | DET vs DET@SEA | RBI | 0.5 | +220 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 314 | MLB | Steven Kwan 10 games | CLE vs NYM@CLE | H | 1.5 | +240 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | — | PENDING | PENDING | |
| 315 | MLB | Trevor Larnach 10 games | MIN vs MIN@KCR | RBI | 0.5 | +227 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 316 | MLB | Tyler Stephenson 10 games | CIN vs Athletics@ | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 317 | MLB | William Contreras 10 games | MIL vs PIT@MIL | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | — | PENDING | PENDING | |
| 318 | MLB | Willson Contreras 10 games | BOS vs CHW@BOS | TB | 1.5 | +111 | 1.6 | +0.1 | 2/5 | +0.1 | 42 | F | — | PENDING | PENDING | |
| 319 | MLB | Xander Bogaerts 10 games | SD vs SDP@ARI | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 320 | MLB | Bryce Harper 10 games | PHI vs WSN@PHI | TB | 2.5 | +150 | 2.2 | -0.3 | 3/5 | -0.9 | 41 | F | 3.0 | WIN | LOSS | |
| 321 | MLB | Colt Keith 10 games | DET vs DET@SEA | H | 0.5 | -145 | 1 | +0.5 | 2/5 | -0.3 | 41 | F | 3.0 | WIN | LOSS | |
| 322 | MLB | JJ Bleday 10 games | CIN vs Athletics@ | R | 0.5 | -105 | 0.8 | +0.3 | 2/5 | +0.2 | 41 | F | 1.0 | WIN | LOSS | |
| 323 | MLB | Luis Arraez 10 games | PHI vs WSN@PHI | TB | 1.5 | -102 | 1.6 | +0.1 | 2/5 | +0.4 | 41 | F | 3.0 | WIN | LOSS | |
| 324 | MLB | Willson Contreras 10 games | BOS vs CHW@BOS | R | 0.5 | -105 | 0.6 | +0.1 | 2/5 | +0.2 | 41 | F | — | PENDING | PENDING | |
| 325 | MLB | Andrew Vaughn 10 games | MIL vs PIT@MIL | H | 0.5 | -171 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 326 | MLB | Bo Bichette 10 games | NYM vs NYM@CLE | H | 0.5 | -300 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 2.0 | WIN | LOSS | |
| 327 | MLB | Brady House 10 games | WSH vs WSN@PHI | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 328 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIL | H | 0.5 | -185 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 329 | MLB | Brenton Doyle 4 games | CWS vs CHW@BOS | H | 0.5 | -160 | 0.8 | +0.3 | 3/4 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 330 | MLB | Chase DeLauter 10 games | CLE vs NYM@CLE | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 331 | MLB | CJ Abrams 10 games | WSH vs WSN@PHI | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 332 | MLB | Colt Emerson 10 games | SEA vs DET@SEA | TB | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 1.0 | LOSS | WIN | |
| 333 | MLB | Dansby Swanson 10 games | CHC vs TOR@CHC | H | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 334 | MLB | Daulton Varsho 10 games | HOU vs TOR@CHC | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | — | PENDING | PENDING | |
| 335 | MLB | Denzer Guzman 10 games | LAA vs LAA@BAL | H | 0.5 | -185 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | — | PENDING | PENDING | |
| 336 | MLB | Dillon Dingler 10 games | DET vs DET@SEA | R | 1.5 | +900 | 1.2 | -0.3 | 2/5 | +1 | 40 | F | 2.0 | WIN | LOSS | |
| 337 | MLB | Dominic Canzone 10 games | SEA vs DET@SEA | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 338 | MLB | Dylan Beavers 10 games | BAL vs LAA@BAL | H | 0.5 | -226 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 339 | MLB | Elly De La Cruz 10 games | CIN vs Athletics@ | RBI | 1.5 | +475 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 340 | MLB | Esteury Ruiz 10 games | MIA vs MIA@ATL | H | 0.5 | -125 | 0.8 | +0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 341 | MLB | Esteury Ruiz 10 games | MIA vs MIA@ATL | H | 1.5 | +380 | 0.8 | -0.7 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 342 | MLB | Esteury Ruiz 10 games | MIA vs MIA@ATL | TB | 1.5 | +200 | 1 | -0.5 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 343 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@ARI | H | 0.5 | -320 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 344 | MLB | Gunnar Henderson 10 games | BAL vs LAA@BAL | H | 0.5 | -300 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 345 | MLB | J.T. Realmuto 10 games | PHI vs WSN@PHI | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 346 | MLB | Jake Mangum 10 games | PIT vs PIT@MIL | H | 0.5 | -262 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 347 | MLB | JJ Bleday 10 games | CIN vs Athletics@ | H | 0.5 | -185 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 348 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | H | 0.5 | -194 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 349 | MLB | Josh Bell 10 games | MIN vs MIN@KCR | H | 1.5 | +240 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 350 | MLB | Justin Crawford 10 games | PHI vs WSN@PHI | TB | 1.5 | +157 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 1.0 | 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.