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 | JJ Bleday 10 games | CIN vs CIN@PIT | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | -0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 302 | MLB | Jo Adell 10 games | LAA vs Athletics@ | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 303 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 304 | MLB | Jose Altuve 10 games | HOU vs HOU@DET | H | 0.5 | -190 | 1 | +0.5 | 3/5 | +0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 305 | MLB | Jose Caballero 10 games | NYY vs NYY@BOS | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 306 | MLB | Jose Caballero 10 games | NYY vs NYY@BOS | RBI | 1.5 | +800 | 1.6 | +0.1 | 3/5 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 307 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | H | 0.5 | -156 | 1.2 | +0.7 | 3/5 | +1 | 49 | F | 1.0 | WIN | LOSS | |
| 308 | MLB | Junior Caminero 10 games | TB vs ARI@TBR | TB | 1.5 | +105 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | 4.0 | WIN | LOSS | |
| 309 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | R | 0.5 | +200 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 310 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | RBI | 0.5 | +326 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 311 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 312 | MLB | Keibert Ruiz 10 games | WSH vs WSN@BAL | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | — | PENDING | PENDING | |
| 313 | MLB | Ketel Marte 10 games | AZ vs ARI@TBR | R | 0.5 | +100 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 314 | MLB | Konnor Griffin 10 games | PIT vs CIN@PIT | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | — | PENDING | PENDING | |
| 315 | MLB | Kyle Manzardo 10 games | CLE vs SEA@CLE | R | 0.5 | +140 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 1.0 | WIN | LOSS | |
| 316 | MLB | Kyle Stowers 10 games | MIA vs MIA@STL | TB | 1.5 | +143 | 2.4 | +0.9 | 1/5 | +1.7 | 49 | F | 2.0 | WIN | LOSS | |
| 317 | MLB | Lane Thomas 10 games | KC vs KCR@CHW | RBI | 0.5 | +249 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 318 | MLB | Lars Nootbaar 10 games | STL vs MIA@STL | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 319 | MLB | Logan Webb 6 games | SF vs ATL@SFG | K | 4.5 | -155 | 5.4 | +0.9 | 3/5 | +0.5 | 49 | F | 6.0 | WIN | LOSS | |
| 320 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@TBR | RBI | 0.5 | +256 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 321 | MLB | Luke Keaschall 10 games | MIN vs COL@MIN | TB | 1.5 | +150 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | LOSS | WIN | |
| 322 | MLB | Masyn Winn 10 games | STL vs MIA@STL | R | 0.5 | +150 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 323 | MLB | Michael Massey 10 games | KC vs KCR@CHW | R | 0.5 | +170 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 324 | MLB | Mookie Betts 10 games | LAD vs LAD@SDP | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 325 | MLB | Nathan Church 10 games | STL vs MIA@STL | R | 0.5 | +150 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 326 | MLB | Ozzie Albies 10 games | ATL vs ATL@SFG | H | 0.5 | -208 | 1.2 | +0.7 | 3/5 | +0.6 | 49 | F | 0.0 | LOSS | WIN | |
| 327 | MLB | Patrick Bailey 10 games | CLE vs SEA@CLE | H | 1.5 | +600 | 1.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 328 | MLB | Patrick Bailey 10 games | CLE vs SEA@CLE | R | 0.5 | +240 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 329 | MLB | Patrick Bailey 10 games | CLE vs SEA@CLE | TB | 1.5 | +280 | 1.8 | +0.3 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 330 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@BOS | H | 0.5 | -320 | 1.2 | +0.7 | 4/5 | -0.8 | 49 | F | 0.0 | LOSS | WIN | |
| 331 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@BOS | HR | 0.5 | +450 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 332 | MLB | Rafael Devers 10 games | SF vs ATL@SFG | RBI | 0.5 | +164 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 4.0 | WIN | LOSS | |
| 333 | MLB | Randy Arozarena 10 games | SEA vs SEA@CLE | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 334 | MLB | Reid Detmers 9 games | LAA vs Athletics@ | K | 6.5 | -158 | 7.8 | +1.3 | 3/5 | -1.1 | 49 | F | 8.0 | WIN | LOSS | |
| 335 | MLB | Royce Lewis 10 games | MIN vs COL@MIN | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 336 | MLB | Ryan Ward 10 games | LAD vs LAD@SDP | H | 0.5 | +102 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 337 | MLB | Sal Stewart 10 games | CIN vs CIN@PIT | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 338 | MLB | Seiya Suzuki 10 games | CHC vs CHC@MIL | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 1.0 | WIN | LOSS | |
| 339 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | R | 0.5 | +105 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 340 | MLB | Spencer Torkelson 10 games | DET vs HOU@DET | R | 0.5 | +135 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 341 | MLB | Taylor Walls 10 games | TB vs ARI@TBR | RBI | 0.5 | +263 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 342 | MLB | Tommy Edman 3 games | LAD vs LAD@SDP | H | 1.5 | +300 | 1.7 | +0.2 | 2/3 | +0 | 49 | F | 2.0 | WIN | LOSS | |
| 343 | MLB | Tommy Troy 10 games | AZ vs ARI@TBR | R | 0.5 | +190 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 344 | MLB | Trea Turner 10 games | PHI vs PHI@NYM | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | +0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 345 | MLB | Ty France 10 games | SD vs LAD@SDP | TB | 1.5 | +220 | 2.2 | +0.7 | 1/5 | +2.1 | 49 | F | — | PENDING | PENDING | |
| 346 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TEX@TOR | RBI | 0.5 | +170 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 347 | MLB | Willy Adames 10 games | SF vs ATL@SFG | R | 0.5 | +150 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 348 | MLB | Wyatt Langford 10 games | TEX vs TEX@TOR | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | — | PENDING | PENDING | |
| 349 | MLB | Yordan Alvarez 10 games | HOU vs HOU@DET | H | 0.5 | -260 | 1 | +0.5 | 4/5 | -0.8 | 49 | F | — | PENDING | PENDING | |
| 350 | MLB | Zach Neto 10 games | LAA vs Athletics@ | HR | 0.5 | +400 | 0.6 | +0.1 | 3/5 | +0 | 49 | F | 0.0 | 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.