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 | J.T. Realmuto 10 games | PHI vs CHW@PHI | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | — | PENDING | PENDING | |
| 252 | MLB | Jakob Marsee 10 games | MIA vs TBR@MIA | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 253 | MLB | Jared Young 10 games | NYM vs NYM@SDP | H | 0.5 | -165 | 1 | +0.5 | 3/5 | +0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 254 | MLB | Jared Young 10 games | NYM vs NYM@SDP | RBI | 0.5 | +202 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 255 | MLB | Joe Mack 10 games | MIA vs TBR@MIA | TB | 1.5 | +225 | 1.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 256 | MLB | Jordan Walker 10 games | STL vs CIN@STL | RBI | 0.5 | +133 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 257 | MLB | Jose Altuve 10 games | HOU vs Athletics@ | RBI | 0.5 | +176 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 258 | MLB | Jose Caballero 10 games | NYY vs BOS@NYY | R | 0.5 | +170 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 259 | MLB | Josh Naylor 10 games | SEA vs SEA@DET | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 1.0 | WIN | LOSS | |
| 260 | MLB | Kazuma Okamoto 10 games | TOR vs BAL@TOR | R | 0.5 | +145 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 261 | MLB | Keibert Ruiz 10 games | WSH vs WSN@ARI | R | 0.5 | +200 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 262 | MLB | Ketel Marte 10 games | AZ vs WSN@ARI | RBI | 0.5 | +181 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 263 | MLB | Kevin McGonigle 10 games | DET vs SEA@DET | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | 1.0 | WIN | LOSS | |
| 264 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 265 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TEX | H | 0.5 | -120 | 1.2 | +0.7 | 3/5 | -0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 266 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TEX | R | 0.5 | +180 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 267 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TEX | RBI | 0.5 | +203 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Kyle Schwarber 10 games | PHI vs CHW@PHI | H | 0.5 | -200 | 1.2 | +0.7 | 3/5 | +0.6 | 49 | F | 0.0 | LOSS | WIN | |
| 269 | MLB | Liam Hicks 10 games | MIA vs TBR@MIA | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 270 | MLB | Luis Arraez 10 games | SF vs SFG@CHC | H | 1.5 | +199 | 1.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | LOSS | WIN | |
| 271 | MLB | Luis Arraez 10 games | SF vs SFG@CHC | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 272 | MLB | Luis Rengifo 10 games | MIL vs MIL@COL | RBI | 0.5 | +117 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 2.0 | WIN | LOSS | |
| 273 | MLB | Masataka Yoshida 10 games | BOS vs BOS@NYY | R | 0.5 | +167 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 274 | MLB | Masyn Winn 10 games | STL vs CIN@STL | RBI | 0.5 | +199 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | — | PENDING | PENDING | |
| 275 | MLB | Matt Olson 10 games | ATL vs PIT@ATL | H | 1.5 | +260 | 1.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 276 | MLB | Michael Busch 10 games | CHC vs SFG@CHC | TB | 1.5 | +150 | 1.6 | +0.1 | 3/5 | -0.2 | 49 | F | 1.0 | LOSS | WIN | |
| 277 | MLB | Michael Harris II 10 games | ATL vs PIT@ATL | R | 0.5 | +101 | 0.6 | +0.1 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 278 | MLB | Mickey Gasper 10 games | BOS vs BOS@NYY | R | 0.5 | +205 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 279 | MLB | Nathan Lukes 10 games | TOR vs BAL@TOR | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 280 | MLB | Nolan Schanuel 10 games | LAA vs LAA@LAD | RBI | 0.5 | +248 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 281 | MLB | Oswald Peraza 10 games | LAA vs LAA@LAD | TB | 1.5 | +180 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 282 | MLB | Otto Lopez 10 games | MIA vs TBR@MIA | H | 1.5 | +190 | 1.6 | +0.1 | 3/5 | -0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 283 | MLB | Otto Lopez 10 games | MIA vs TBR@MIA | R | 0.5 | +121 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 284 | MLB | Paul Goldschmidt 10 games | NYY vs BOS@NYY | H | 0.5 | -260 | 1.2 | +0.7 | 4/5 | -0.6 | 49 | F | 2.0 | WIN | LOSS | |
| 285 | MLB | Pete Crow-Armstrong 10 games | CHC vs SFG@CHC | R | 0.5 | +105 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 286 | MLB | Rafael Devers 10 games | SF vs SFG@CHC | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 287 | MLB | Randy Arozarena 10 games | SEA vs SEA@DET | R | 0.5 | +128 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 288 | MLB | Riley Greene 10 games | DET vs SEA@DET | H | 1.5 | +280 | 1.6 | +0.1 | 3/5 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 289 | MLB | Riley Greene 10 games | DET vs SEA@DET | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 290 | MLB | Ryan Ward 6 games | LAD vs LAA@LAD | R | 0.5 | +155 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 291 | MLB | Ryan Ward 6 games | LAD vs LAA@LAD | RBI | 0.5 | +195 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 292 | MLB | Seiya Suzuki 10 games | CHC vs SFG@CHC | R | 0.5 | +150 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 293 | MLB | Steven Kwan 10 games | CLE vs CLE@TEX | R | 0.5 | +225 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 294 | MLB | Taylor Ward 10 games | BAL vs BAL@TOR | R | 0.5 | +127 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 1.0 | WIN | LOSS | |
| 295 | MLB | Troy Johnston 10 games | COL vs MIL@COL | TB | 1.5 | +140 | 1.8 | +0.3 | 3/5 | -0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 296 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | H | 0.5 | -200 | 1 | +0.5 | 4/5 | -0.6 | 49 | F | 0.0 | LOSS | WIN | |
| 297 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | RBI | 0.5 | +164 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 298 | MLB | Victor Caratini 10 games | MIN vs KCR@MIN | RBI | 0.5 | +220 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 299 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@MIN | TB | 1.5 | +150 | 1.8 | +0.3 | 3/5 | -0.3 | 49 | F | 3.0 | WIN | LOSS | |
| 300 | MLB | Willson Contreras 10 games | BOS vs BOS@NYY | H | 0.5 | -180 | 1.4 | +0.9 | 3/5 | +0.8 | 49 | F | 1.0 | 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.