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 | Michael Harris II 10 games | ATL vs SDP@ATL | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 252 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | TB | 1.5 | +200 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 253 | MLB | Nolan Arenado 10 games | AZ vs ARI@STL | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 254 | MLB | Rhys Hoskins 10 games | CLE vs MIN@CLE | H | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | Riley Greene 10 games | DET vs KCR@DET | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 256 | MLB | Ryan Jeffers 6 games | MIN vs MIN@CLE | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 257 | MLB | Ryan Jeffers 6 games | MIN vs MIN@CLE | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 258 | MLB | Starling Marte 10 games | KC vs KCR@DET | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 259 | MLB | Steven Kwan 10 games | CLE vs MIN@CLE | RBI | 0.5 | +308 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 260 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 261 | MLB | Tim Tawa 10 games | AZ vs ARI@STL | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 262 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 263 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@DET | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 264 | MLB | Xander Bogaerts 10 games | SD vs SDP@ATL | TB | 1.5 | +195 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 265 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | TB | 1.5 | +165 | 0.8 | -0.7 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 266 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +-0 | 36 | F | 0.0 | LOSS | WIN | |
| 267 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0.3 | 36 | F | 1.0 | WIN | LOSS | |
| 268 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | TB | 1.5 | +150 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 269 | MLB | Brandon Pfaadt 6 games | AZ vs ARI@STL | K | 3.5 | +106 | 2.8 | -0.7 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 270 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | TB | 1.5 | +125 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | 5.0 | WIN | LOSS | |
| 271 | MLB | Shane Bieber 5 games | TOR vs TBR@TOR | K | 4.5 | +121 | 3.8 | -0.7 | 1/5 | +0.5 | 35 | F | 3.0 | LOSS | WIN | |
| 272 | MLB | Alec Burleson 10 games | STL vs ARI@STL | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 273 | MLB | Blaze Jordan 10 games | STL vs ARI@STL | TB | 1.5 | +185 | 1.6 | +0.1 | 1/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 274 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | TB | 1.5 | +145 | 1 | -0.5 | 2/5 | -0.7 | 34 | F | 1.0 | LOSS | WIN | |
| 275 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 0.0 | LOSS | WIN | |
| 276 | MLB | Mike Yastrzemski 10 games | ATL vs SDP@ATL | RBI | 0.5 | +210 | 0.8 | +0.3 | 1/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 277 | MLB | Tyler Tolbert 9 games | KC vs KCR@DET | R | 0.5 | +275 | 0.8 | +0.3 | 1/5 | -0.9 | 34 | F | — | PENDING | PENDING | |
| 278 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | TB | 1.5 | +115 | 1 | -0.5 | 2/5 | -0.9 | 34 | F | 2.0 | WIN | LOSS | |
| 279 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | H | 0.5 | -225 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 280 | MLB | Ivan Herrera 10 games | STL vs ARI@STL | H | 0.5 | -240 | 0.8 | +0.3 | 2/5 | -0.4 | 33 | F | — | PENDING | PENDING | |
| 281 | MLB | Manny Machado 10 games | SD vs SDP@ATL | H | 0.5 | -165 | 0.8 | +0.3 | 2/5 | +0.1 | 33 | F | 2.0 | WIN | LOSS | |
| 282 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | H | 0.5 | -250 | 0.6 | +0.1 | 2/5 | +0.4 | 33 | F | 2.0 | WIN | LOSS | |
| 283 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | H | 0.5 | -250 | 0.6 | +0.1 | 2/5 | -0.5 | 33 | F | 2.0 | WIN | LOSS | |
| 284 | MLB | Adrian Del Castillo 10 games | AZ vs ARI@STL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 285 | MLB | Alec Burleson 10 games | STL vs ARI@STL | RBI | 0.5 | +165 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 286 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 287 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 288 | MLB | Austin Riley 10 games | ATL vs SDP@ATL | HR | 0.5 | +450 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 289 | MLB | Brayan Rocchio 10 games | CLE vs MIN@CLE | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 290 | MLB | Brooks Lee 10 games | MIN vs MIN@CLE | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 291 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 292 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | RBI | 0.5 | +175 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 293 | MLB | Carter Jensen 10 games | KC vs KCR@DET | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 294 | MLB | Carter Jensen 10 games | KC vs KCR@DET | RBI | 0.5 | +239 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 295 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 296 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | RBI | 0.5 | +177 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 297 | MLB | Chase DeLauter 10 games | CLE vs MIN@CLE | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 298 | MLB | Colt Keith 10 games | DET vs KCR@DET | RBI | 0.5 | +190 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 299 | MLB | Daniel Schneemann 10 games | CLE vs MIN@CLE | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 300 | MLB | Daulton Varsho 10 games | TOR vs TBR@TOR | RBI | 0.5 | +238 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING |
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.