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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 251 | MLB | Dylan Beavers 10 games | BAL vs BAL@DET | H | 0.5 | -165 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 252 | MLB | Evan Carter 10 games | TEX vs SEA@TEX | H | 0.5 | -113 | 0.6 | +0.1 | 3/5 | -0.1 | 46 | F | 2.0 | WIN | LOSS | |
| 253 | MLB | Francisco Alvarez 10 games | NYM vs ATL@NYM | H | 0.5 | -175 | 0.8 | +0.3 | 4/5 | +0 | 46 | F | 1.0 | WIN | LOSS | |
| 254 | MLB | Gabriel Moreno 10 games | AZ vs ARI@PIT | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | George Springer 10 games | TOR vs TOR@WSN | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | +0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 256 | MLB | Jacob Young 10 games | WSH vs TOR@WSN | H | 0.5 | -180 | 1.4 | +0.9 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 257 | MLB | Jasson Domínguez 10 games | NYY vs NYY@CHW | H | 0.5 | -200 | 0.8 | +0.3 | 4/5 | -0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 258 | MLB | Jeff McNeil 10 games | ATH vs BOS@Athlet | H | 0.5 | -160 | 1.2 | +0.7 | 3/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 259 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | TB | 1.5 | +140 | 1.6 | +0.1 | 3/5 | -0.6 | 46 | F | 2.0 | WIN | LOSS | |
| 260 | MLB | Julio Rodriguez 5 games | SEA vs SEA@TEX | TB | 1.5 | +115 | 1.6 | +0.1 | 3/5 | -0.9 | 46 | F | 2.0 | WIN | LOSS | |
| 261 | MLB | Keider Montero 10 games | DET vs BAL@DET | K | 3.5 | -275 | 3.8 | +0.3 | 3/5 | +2.6 | 46 | F | 1.0 | LOSS | WIN | |
| 262 | MLB | Matt Olson 10 games | ATL vs ATL@NYM | H | 0.5 | -190 | 1 | +0.5 | 3/5 | +0 | 46 | F | 0.0 | LOSS | WIN | |
| 263 | MLB | Munetaka Murakami 10 games | CWS vs NYY@CHW | RBI | 0.5 | +210 | 1.2 | +0.7 | 1/5 | +1.4 | 46 | F | 0.0 | LOSS | WIN | |
| 264 | MLB | Nolan Arenado 10 games | AZ vs ARI@PIT | RBI | 0.5 | +227 | 0.8 | +0.3 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 265 | MLB | Tatsuya Imai 8 games | HOU vs HOU@LAA | K | 5.5 | -215 | 6.8 | +1.3 | 3/5 | -1.7 | 46 | F | 1.0 | LOSS | WIN | |
| 266 | MLB | Tommy White 8 games | ATH vs BOS@Athlet | H | 0.5 | -180 | 1 | +0.5 | 3/5 | -0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 267 | MLB | Willson Contreras 10 games | BOS vs BOS@Athlet | H | 0.5 | -260 | 1 | +0.5 | 3/5 | -0.5 | 46 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | TB | 1.5 | +135 | 2.4 | +0.9 | 2/5 | -0.8 | 45 | F | 4.0 | WIN | LOSS | |
| 269 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | R | 0.5 | +175 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 270 | MLB | Enmanuel Valdez 10 games | PIT vs ARI@PIT | TB | 1.5 | +130 | 2 | +0.5 | 2/5 | -0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 271 | MLB | Esmerlyn Valdez 10 games | PIT vs ARI@PIT | TB | 1.5 | +140 | 2 | +0.5 | 2/5 | -0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 272 | MLB | Ivan Herrera 10 games | STL vs CHC@STL | RBI | 0.5 | +175 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 273 | MLB | Ivan Herrera 10 games | STL vs CHC@STL | TB | 1.5 | +120 | 1.8 | +0.3 | 2/5 | +1.5 | 45 | F | 1.0 | LOSS | WIN | |
| 274 | MLB | Jackson Holliday 10 games | BAL vs BAL@DET | H | 0.5 | -141 | 0.8 | +0.3 | 3/5 | +0.5 | 45 | F | 4.0 | WIN | LOSS | |
| 275 | MLB | Jose Tena 10 games | WSH vs TOR@WSN | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 276 | MLB | Jung Hoo Lee 10 games | SF vs MIL@SFG | RBI | 0.5 | +238 | 0.8 | +0.3 | 2/5 | +0.9 | 45 | F | — | PENDING | PENDING | |
| 277 | MLB | Luis Lara 10 games | MIL vs MIL@SFG | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 278 | MLB | Marcus Semien 10 games | NYM vs ATL@NYM | RBI | 0.5 | +207 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 2.0 | WIN | LOSS | |
| 279 | MLB | Matt Olson 10 games | ATL vs ATL@NYM | RBI | 0.5 | +164 | 0.8 | +0.3 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 280 | MLB | Miguel Amaya 10 games | CHC vs CHC@STL | RBI | 0.5 | +216 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 281 | MLB | Mike Trout 10 games | LAA vs HOU@LAA | TB | 1.5 | +150 | 1.8 | +0.3 | 2/5 | +1.1 | 45 | F | 0.0 | LOSS | WIN | |
| 282 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | TB | 1.5 | +105 | 1.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | LOSS | WIN | |
| 283 | MLB | David Hamilton 10 games | MIL vs MIL@SFG | H | 0.5 | -123 | 0.8 | +0.3 | 3/5 | +0.4 | 44 | F | — | PENDING | PENDING | |
| 284 | MLB | Denzer Guzman 10 games | LAA vs HOU@LAA | H | 0.5 | -125 | 0.6 | +0.1 | 3/5 | -0.1 | 44 | F | 0.0 | LOSS | WIN | |
| 285 | MLB | Elly De La Cruz 10 games | CIN vs CLE@CIN | R | 0.5 | -125 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | — | PENDING | PENDING | |
| 286 | MLB | Henry Davis 10 games | PIT vs ARI@PIT | H | 0.5 | -123 | 0.8 | +0.3 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 287 | MLB | J.T. Realmuto 10 games | PHI vs PHI@MIA | TB | 1.5 | +150 | 1.4 | -0.1 | 3/5 | -0.2 | 44 | F | 2.0 | WIN | LOSS | |
| 288 | MLB | Jeff McNeil 10 games | ATH vs BOS@Athlet | H | 1.5 | +320 | 1.2 | -0.3 | 3/5 | +0.3 | 44 | F | 1.0 | LOSS | WIN | |
| 289 | MLB | Jorge Soler 10 games | LAA vs HOU@LAA | H | 0.5 | -125 | 0.6 | +0.1 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 290 | MLB | Keibert Ruiz 10 games | WSH vs TOR@WSN | TB | 1.5 | +145 | 1.4 | -0.1 | 3/5 | -0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 291 | MLB | Tim Tawa 10 games | AZ vs ARI@PIT | H | 1.5 | +380 | 1.4 | -0.1 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 292 | MLB | Tommy White 8 games | ATH vs BOS@Athlet | TB | 1.5 | +150 | 1.2 | -0.3 | 3/5 | -0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 293 | MLB | Willson Contreras 10 games | BOS vs BOS@Athlet | R | 0.5 | -130 | 0.6 | +0.1 | 3/5 | -0.3 | 44 | F | 1.0 | WIN | LOSS | |
| 294 | MLB | Willy Adames 10 games | SF vs MIL@SFG | H | 0.5 | -130 | 0.6 | +0.1 | 3/5 | -0.2 | 44 | F | 1.0 | WIN | LOSS | |
| 295 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | TB | 1.5 | +155 | 1.4 | -0.1 | 3/5 | -0.1 | 44 | F | 1.0 | LOSS | WIN | |
| 296 | MLB | Alec Bohm 10 games | PHI vs PHI@MIA | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | -0.8 | 43 | F | 2.0 | WIN | LOSS | |
| 297 | MLB | Chase Meidroth 10 games | CWS vs NYY@CHW | H | 0.5 | -180 | 1.2 | +0.7 | 3/5 | -0.5 | 43 | F | 1.0 | WIN | LOSS | |
| 298 | MLB | Curtis Mead 10 games | WSH vs BOS@Athlet | R | 0.5 | -115 | 0.6 | +0.1 | 3/5 | -0.6 | 43 | F | 0.0 | LOSS | WIN | |
| 299 | MLB | Dillon Dingler 10 games | DET vs BAL@DET | H | 0.5 | -200 | 1 | +0.5 | 3/5 | -0.6 | 43 | F | 1.0 | WIN | LOSS | |
| 300 | MLB | Francisco Lindor 10 games | NYM vs ATL@NYM | H | 0.5 | -240 | 1 | +0.5 | 3/5 | -0.8 | 43 | F | 3.0 | WIN | LOSS |
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.