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 | Zach Neto 10 games | LAA vs LAA@SFG | TB | 1.5 | +120 | 1.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 302 | MLB | Andrew Benintendi 10 games | CWS vs HOU@CHW | RBI | 0.5 | +189 | 1 | +0.5 | 2/5 | -0.3 | 48 | F | 1.0 | WIN | LOSS | |
| 303 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | RBI | 0.5 | +187 | 1 | +0.5 | 2/5 | -0.5 | 48 | F | 0.0 | LOSS | WIN | |
| 304 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | RBI | 0.5 | +200 | 1.2 | +0.7 | 2/5 | -0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 305 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | H | 0.5 | -110 | 0.8 | +0.3 | 3/5 | +0.4 | 48 | F | 1.0 | WIN | LOSS | |
| 306 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | R | 0.5 | +150 | 1 | +0.5 | 2/5 | +-0 | 48 | F | 1.0 | WIN | LOSS | |
| 307 | MLB | Drake Baldwin 10 games | ATL vs ATL@BAL | R | 0.5 | -110 | 0.8 | +0.3 | 3/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 308 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@MIA | R | 0.5 | -105 | 0.8 | +0.3 | 3/5 | -0.5 | 48 | F | 0.0 | LOSS | WIN | |
| 309 | MLB | J.P. Crawford 10 games | SEA vs SEA@TEX | H | 0.5 | -141 | 1.2 | +0.7 | 3/5 | +0 | 48 | F | 0.0 | LOSS | WIN | |
| 310 | MLB | James Outman 10 games | DET vs KCR@DET | H | 0.5 | -105 | 0.6 | +0.1 | 3/5 | +0.2 | 48 | F | 1.0 | WIN | LOSS | |
| 311 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | RBI | 0.5 | +216 | 1 | +0.5 | 2/5 | +0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 312 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | TB | 1.5 | +165 | 2.2 | +0.7 | 2/5 | +0.3 | 48 | F | 5.0 | WIN | LOSS | |
| 313 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | R | 0.5 | -140 | 0.8 | +0.3 | 4/5 | +0.1 | 48 | F | 1.0 | WIN | LOSS | |
| 314 | MLB | Kyle Freeland 9 games | COL vs COL@MIL | K | 4.5 | +120 | 5.2 | +0.7 | 2/5 | +0.1 | 48 | F | 2.0 | LOSS | WIN | |
| 315 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | TB | 1.5 | +149 | 1.8 | +0.3 | 2/5 | +1.7 | 48 | F | 0.0 | LOSS | WIN | |
| 316 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | H | 0.5 | -110 | 0.6 | +0.1 | 3/5 | +0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 317 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | TB | 1.5 | +240 | 2.4 | +0.9 | 2/5 | -0.3 | 48 | F | — | PENDING | PENDING | |
| 318 | MLB | Pete Alonso 10 games | BAL vs ATL@BAL | R | 0.5 | -105 | 0.6 | +0.1 | 3/5 | +-0 | 48 | F | 1.0 | WIN | LOSS | |
| 319 | MLB | Ryan Vilade 10 games | TB vs CLE@TBR | RBI | 0.5 | +220 | 1 | +0.5 | 2/5 | +-0 | 48 | F | 0.0 | LOSS | WIN | |
| 320 | MLB | Trea Turner 10 games | PHI vs NYY@PHI | R | 0.5 | -105 | 0.8 | +0.3 | 3/5 | -0.1 | 48 | F | 2.0 | WIN | LOSS | |
| 321 | MLB | Brewer Hicklen 6 games | ATL vs ATL@BAL | H | 0.5 | -130 | 1 | +0.5 | 3/5 | -0.5 | 47 | F | 0.0 | LOSS | WIN | |
| 322 | MLB | Freddy Peralta 10 games | NYM vs LAD@NYM | K | 5.5 | +110 | 5.4 | -0.1 | 3/5 | +1.3 | 47 | F | 3.0 | LOSS | WIN | |
| 323 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | TB | 1.5 | +110 | 1.4 | -0.1 | 3/5 | +0.6 | 47 | F | 3.0 | WIN | LOSS | |
| 324 | MLB | Andrés Chaparro 10 games | WSH vs ARI@WSN | TB | 1.5 | +160 | 1.6 | +0.1 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 325 | MLB | Austin Riley 10 games | ATL vs ATL@BAL | H | 0.5 | -185 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 326 | MLB | Blaze Jordan 10 games | STL vs CIN@STL | H | 0.5 | -165 | 0.8 | +0.3 | 4/5 | -0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 327 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | H | 0.5 | -160 | 1.4 | +0.9 | 3/5 | -0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 328 | MLB | Brayan Rocchio 10 games | CLE vs CLE@TBR | TB | 1.5 | +220 | 1.6 | +0.1 | 3/5 | -1.1 | 46 | F | 0.0 | LOSS | WIN | |
| 329 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | H | 0.5 | -115 | 0.6 | +0.1 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 330 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | H | 0.5 | -260 | 1 | +0.5 | 3/5 | -0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 331 | MLB | Chase Meidroth 10 games | CWS vs HOU@CHW | H | 0.5 | -155 | 1.2 | +0.7 | 3/5 | +0.4 | 46 | F | 1.0 | WIN | LOSS | |
| 332 | MLB | Dane Myers 10 games | CIN vs CIN@STL | H | 0.5 | -156 | 1 | +0.5 | 3/5 | +-0 | 46 | F | 1.0 | WIN | LOSS | |
| 333 | MLB | Dillon Dingler 10 games | DET vs KCR@DET | H | 0.5 | -235 | 1 | +0.5 | 3/5 | -0.4 | 46 | F | 2.0 | WIN | LOSS | |
| 334 | MLB | Drew Gilbert 10 games | SF vs LAA@SFG | H | 0.5 | -118 | 0.8 | +0.3 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 335 | MLB | Ernie Clement 10 games | TOR vs TOR@BOS | H | 0.5 | -350 | 1.2 | +0.7 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 336 | MLB | Ezequiel Tovar 10 games | COL vs COL@MIL | H | 0.5 | -115 | 0.6 | +0.1 | 3/5 | +0.3 | 46 | F | — | PENDING | PENDING | |
| 337 | MLB | George Springer 10 games | TOR vs TOR@BOS | H | 0.5 | -190 | 1.2 | +0.7 | 3/5 | +0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 338 | MLB | Harry Ford 4 games | WSH vs ARI@WSN | H | 0.5 | -155 | 1 | +0.5 | 3/4 | -0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 339 | MLB | Henry Davis 10 games | PIT vs CHC@PIT | H | 0.5 | -117 | 0.8 | +0.3 | 3/5 | +0.2 | 46 | F | — | PENDING | PENDING | |
| 340 | MLB | Jackson Chourio 10 games | MIL vs COL@MIL | H | 0.5 | -375 | 0.8 | +0.3 | 4/5 | +0.1 | 46 | F | 2.0 | WIN | LOSS | |
| 341 | MLB | Jackson Merrill 10 games | SD vs SDP@MIA | H | 0.5 | -208 | 1.4 | +0.9 | 3/5 | -0.1 | 46 | F | 2.0 | WIN | LOSS | |
| 342 | MLB | Jacob Misiorowski 8 games | MIL vs COL@MIL | K | 7.5 | -215 | 8.4 | +0.9 | 3/5 | -0.1 | 46 | F | 12.0 | WIN | LOSS | |
| 343 | MLB | Jacob Young 10 games | WSH vs ARI@WSN | H | 0.5 | -165 | 1.2 | +0.7 | 3/5 | -0.4 | 46 | F | 2.0 | WIN | LOSS | |
| 344 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | H | 0.5 | -169 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | 2.0 | WIN | LOSS | |
| 345 | MLB | Jordan Walker 10 games | STL vs CIN@STL | H | 0.5 | -320 | 1 | +0.5 | 3/5 | +0.4 | 46 | F | 0.0 | LOSS | WIN | |
| 346 | MLB | Jose Altuve 10 games | HOU vs HOU@CHW | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 347 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | H | 0.5 | -180 | 1.2 | +0.7 | 3/5 | -0.4 | 46 | F | 2.0 | WIN | LOSS | |
| 348 | MLB | Josh Smith 10 games | TEX vs SEA@TEX | H | 0.5 | -120 | 0.6 | +0.1 | 3/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 349 | MLB | Kevin McGonigle 10 games | DET vs KCR@DET | H | 0.5 | -235 | 0.8 | +0.3 | 4/5 | +-0 | 46 | F | 2.0 | WIN | LOSS | |
| 350 | MLB | Kyle Leahy 9 games | STL vs CIN@STL | K | 3.5 | -260 | 4 | +0.5 | 3/5 | -0.1 | 46 | F | 9.0 | 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.