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 | Nick Sogard 10 games | BOS vs BOS@TOR | R | 0.5 | +105 | 0.8 | +0.3 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 302 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | RBI | 0.5 | +180 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 4.0 | WIN | LOSS | |
| 303 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | TB | 1.5 | +145 | 1.8 | +0.3 | 2/5 | +0.2 | 42 | F | 5.0 | WIN | LOSS | |
| 304 | MLB | Royce Lewis 10 games | MIN vs BAL@MIN | R | 0.5 | +135 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 305 | MLB | Ryan Jeffers 10 games | MIN vs BAL@MIN | R | 0.5 | +115 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 306 | MLB | Shohei Ohtani 10 games | LAD vs KCR@LAD | RBI | 0.5 | +138 | 0.8 | +0.3 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 307 | MLB | Taylor Trammell 10 games | HOU vs HOU@SFG | RBI | 0.5 | +237 | 0.8 | +0.3 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 308 | MLB | Taylor Trammell 10 games | HOU vs HOU@SFG | TB | 1.5 | +200 | 1.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 309 | MLB | Taylor Walls 10 games | TB vs TBR@Athlet | R | 0.5 | +115 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 1.0 | WIN | LOSS | |
| 310 | MLB | Tim Tawa 10 games | AZ vs COL@ARI | R | 0.5 | +135 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 311 | MLB | Trea Turner 10 games | PHI vs PHI@STL | R | 0.5 | +100 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | — | PENDING | PENDING | |
| 312 | MLB | Trea Turner 10 games | PHI vs PHI@STL | TB | 1.5 | +105 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | — | PENDING | PENDING | |
| 313 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | RBI | 0.5 | +172 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 314 | MLB | Wade Meckler 10 games | LAA vs TEX@LAA | R | 0.5 | +210 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 315 | MLB | William Contreras 10 games | MIL vs MIL@SDP | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 1.0 | WIN | LOSS | |
| 316 | MLB | Willson Contreras 10 games | BOS vs BOS@TOR | R | 0.5 | +108 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 317 | MLB | Willson Contreras 10 games | BOS vs BOS@TOR | RBI | 0.5 | +139 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 318 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | HR | 0.5 | +300 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 319 | MLB | Zach Neto 10 games | LAA vs TEX@LAA | RBI | 0.5 | +196 | 0.8 | +0.3 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 320 | MLB | Gunnar Henderson 10 games | BAL vs BAL@MIN | R | 0.5 | -105 | 0.8 | +0.3 | 2/5 | +0.1 | 41 | F | 1.0 | WIN | LOSS | |
| 321 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | R | 0.5 | -105 | 0.6 | +0.1 | 2/5 | +-0 | 41 | F | 1.0 | WIN | LOSS | |
| 322 | MLB | Luis Campusano 10 games | SD vs MIL@SDP | H | 0.5 | -130 | 0.8 | +0.3 | 3/5 | -0.8 | 41 | F | — | PENDING | PENDING | |
| 323 | MLB | Travis d'Arnaud 4 games | LAA vs TEX@LAA | H | 0.5 | -108 | 0.5 | +0 | 2/4 | +0.2 | 41 | F | 0.0 | LOSS | WIN | |
| 324 | MLB | Tyler Tolbert 10 games | KC vs KCR@LAD | TB | 1.5 | +300 | 1.4 | -0.1 | 3/5 | -0.6 | 41 | F | — | PENDING | PENDING | |
| 325 | MLB | A.J. Ewing 10 games | NYM vs NYM@ATL | R | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +0.9 | 40 | F | 1.0 | LOSS | WIN | |
| 326 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | — | PENDING | PENDING | |
| 327 | MLB | Bo Bichette 10 games | NYM vs NYM@ATL | R | 0.5 | +150 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 328 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | H | 0.5 | -214 | 0.8 | +0.3 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 329 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 330 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | RBI | 1.5 | +900 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 331 | MLB | Bryce Eldridge 10 games | SF vs HOU@SFG | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 332 | MLB | Cole Carrigg 10 games | COL vs COL@ARI | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 333 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | H | 0.5 | -253 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 334 | MLB | Corey Seager 10 games | TEX vs TEX@LAA | RBI | 0.5 | +164 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 335 | MLB | David Hamilton 10 games | MIL vs MIL@SDP | TB | 1.5 | +300 | 1 | -0.5 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 336 | MLB | Fernando Tatis Jr. 10 games | SD vs MIL@SDP | H | 1.5 | +240 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 337 | MLB | Henry Bolte 10 games | ATH vs TBR@Athlet | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 338 | MLB | Hunter Goodman 10 games | COL vs COL@ARI | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 339 | MLB | Isaac Paredes 10 games | HOU vs HOU@SFG | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 3.0 | WIN | LOSS | |
| 340 | MLB | Jackson Chourio 10 games | MIL vs MIL@SDP | H | 0.5 | -234 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 3.0 | WIN | LOSS | |
| 341 | MLB | Jackson Holliday 10 games | BAL vs BAL@MIN | H | 1.5 | +280 | 0.8 | -0.7 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 342 | MLB | Jacob Wilson 10 games | ATH vs TBR@Athlet | H | 0.5 | -320 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 1.0 | WIN | LOSS | |
| 343 | MLB | Jake Cronenworth 10 games | SD vs MIL@SDP | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 344 | MLB | Jake McCarthy 10 games | COL vs COL@ARI | R | 1.5 | +800 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 345 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | H | 0.5 | -231 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 346 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | TB | 1.5 | +111 | 1.8 | +0.3 | 1/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 347 | MLB | Jonny Deluca 10 games | TB vs TBR@Athlet | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 3.0 | WIN | LOSS | |
| 348 | MLB | Jose Siri 10 games | LAA vs TEX@LAA | H | 1.5 | +500 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 349 | MLB | Josh Bell 10 games | MIN vs BAL@MIN | TB | 1.5 | +142 | 1.8 | +0.3 | 1/5 | +0.9 | 40 | F | 5.0 | WIN | LOSS | |
| 350 | MLB | Kazuma Okamoto 10 games | TOR vs BOS@TOR | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | 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.