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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 401 | MLB | Zach Neto 10 games | LAA vs LAA@ARI | R | 0.5 | -110 | 0.6 | +0.1 | 2/5 | -0.3 | 41 | F | 0.0 | LOSS | WIN | |
| 402 | MLB | Andy Pages 10 games | LAD vs TBR@LAD | H | 0.5 | -260 | 0.8 | +0.3 | 3/5 | -0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 403 | MLB | Ben Williamson 10 games | TB vs TBR@LAD | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 404 | MLB | Bo Bichette 10 games | NYM vs NYM@CIN | R | 1.5 | +900 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Brandon Lowe 10 games | PIT vs PIT@Athlet | H | 0.5 | -246 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 406 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | — | PENDING | PENDING | |
| 407 | MLB | Cam Smith 10 games | HOU vs DET@HOU | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 408 | MLB | Chase Burns 10 games | CIN vs NYM@CIN | K | 8.5 | +225 | 8 | -0.5 | 2/5 | +1 | 40 | F | 7.0 | LOSS | WIN | |
| 409 | MLB | Colt Keith 10 games | DET vs DET@HOU | RBI | 0.5 | +274 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 6.0 | WIN | LOSS | |
| 410 | MLB | Corbin Carroll 10 games | AZ vs LAA@ARI | H | 0.5 | -219 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 411 | MLB | Denzer Guzman 5 games | LAA vs LAA@ARI | H | 1.5 | +340 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 412 | MLB | Denzer Guzman 5 games | LAA vs LAA@ARI | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 413 | MLB | Ezequiel Tovar 10 games | COL vs COL@CHC | H | 1.5 | +340 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Geraldo Perdomo 10 games | AZ vs LAA@ARI | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 415 | MLB | Hunter Goodman 10 games | COL vs COL@CHC | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 416 | MLB | Ian Happ 10 games | CHC vs COL@CHC | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Ivan Herrera 10 games | STL vs SDP@STL | RBI | 0.5 | +208 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Jacob Wilson 10 games | ATH vs PIT@Athlet | H | 0.5 | -300 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 419 | MLB | JJ Wetherholt 10 games | STL vs SDP@STL | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Jonathan Aranda 10 games | TB vs TBR@LAD | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 421 | MLB | Jonathan Aranda 10 games | TB vs TBR@LAD | TB | 1.5 | +140 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 2.0 | WIN | LOSS | |
| 422 | MLB | Ketel Marte 10 games | AZ vs LAA@ARI | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 423 | MLB | Kyle Higashioka 10 games | TEX vs MIN@TEX | RBI | 0.5 | +252 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | — | PENDING | PENDING | |
| 424 | MLB | Kyle Karros 10 games | COL vs COL@CHC | H | 1.5 | +340 | 1.4 | -0.1 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Lars Nootbaar 9 games | STL vs SDP@STL | H | 0.5 | -160 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 426 | MLB | Lawrence Butler 10 games | ATH vs PIT@Athlet | H | 1.5 | +340 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 427 | MLB | MacKenzie Gore 9 games | TEX vs MIN@TEX | K | 4.5 | -400 | 4.6 | +0.1 | 3/5 | +0.1 | 40 | F | 10.0 | WIN | LOSS | |
| 428 | MLB | Maikel Garcia 10 games | KC vs KCR@WSN | H | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 429 | MLB | Masyn Winn 10 games | STL vs SDP@STL | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 430 | MLB | Matt McLain 10 games | CIN vs NYM@CIN | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 431 | MLB | Max Muncy 10 games | LAD vs TBR@LAD | RBI | 1.5 | +450 | 1.4 | -0.1 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 432 | MLB | Moisés Ballesteros 10 games | CHC vs COL@CHC | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Mookie Betts 10 games | LAD vs TBR@LAD | H | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 434 | MLB | Nick Fortes 10 games | TB vs TBR@LAD | R | 1.5 | +1500 | 1 | -0.5 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Nico Hoerner 10 games | CHC vs COL@CHC | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Oswald Peraza 10 games | LAA vs LAA@ARI | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 437 | MLB | Riley Greene 10 games | DET vs DET@HOU | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 438 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@Athlet | H | 0.5 | -237 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 439 | MLB | Ryan Waldschmidt 10 games | AZ vs LAA@ARI | H | 0.5 | -156 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | — | PENDING | PENDING | |
| 440 | MLB | Sal Stewart 10 games | CIN vs NYM@CIN | H | 0.5 | -216 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 441 | MLB | Starling Marte 10 games | KC vs KCR@WSN | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 442 | MLB | Starling Marte 10 games | KC vs KCR@WSN | RBI | 0.5 | +230 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | TJ Rumfield 10 games | COL vs COL@CHC | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Trea Turner 10 games | PHI vs MIA@PHI | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | H | 1.5 | +300 | 1.4 | -0.1 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Xander Bogaerts 10 games | SD vs SDP@STL | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Xavier Edwards 10 games | MIA vs MIA@PHI | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Zach Neto 10 games | LAA vs LAA@ARI | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Alex Bregman 10 games | CHC vs COL@CHC | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | -0.2 | 39 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Brett Baty 10 games | NYM vs NYM@CIN | H | 0.5 | -118 | 0.6 | +0.1 | 2/5 | -0.1 | 39 | 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.