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 | Salvador Perez 10 games | KC vs SDP@KCR | RBI | 0.5 | +145 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 402 | MLB | Salvador Perez 10 games | KC vs SDP@KCR | TB | 1.5 | +115 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 1.0 | LOSS | WIN | |
| 403 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | H | 0.5 | -150 | 0.6 | +0.1 | 3/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 404 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | TB | 1.5 | +150 | 1.8 | +0.3 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Spencer Torkelson 10 games | DET vs DET@LAA | HR | 0.5 | +325 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | Spencer Torkelson 10 games | DET vs DET@LAA | R | 0.5 | +115 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Steven Kwan 10 games | CLE vs PIT@CLE | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Taylor Ward 10 games | BAL vs BAL@HOU | RBI | 0.5 | +222 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Taylor Ward 10 games | BAL vs BAL@HOU | TB | 1.5 | +175 | 1.8 | +0.3 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 410 | MLB | Travis Bazzana 10 games | CLE vs PIT@CLE | RBI | 0.5 | +260 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Trent Grisham 10 games | NYY vs LAD@NYY | RBI | 0.5 | +240 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Trent Grisham 10 games | NYY vs LAD@NYY | TB | 1.5 | +155 | 1.8 | +0.3 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Vinnie Pasquantino 10 games | KC vs SDP@KCR | R | 0.5 | +100 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | — | PENDING | PENDING | |
| 414 | MLB | Weston Wilson 10 games | SEA vs SFG@SEA | RBI | 0.5 | +240 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 415 | MLB | Willson Contreras 10 games | BOS vs TBR@BOS | TB | 1.5 | +127 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | 4.0 | WIN | LOSS | |
| 416 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | RBI | 0.5 | +195 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | TB | 1.5 | +131 | 1.4 | -0.1 | 3/5 | -0.9 | 41 | F | 2.0 | WIN | LOSS | |
| 418 | MLB | J.P. Crawford 10 games | SEA vs SFG@SEA | H | 0.5 | -144 | 1 | +0.5 | 2/5 | +0.3 | 41 | F | 1.0 | WIN | LOSS | |
| 419 | MLB | James Wood 10 games | WSH vs WSN@Athlet | TB | 1.5 | -106 | 2.2 | +0.7 | 2/5 | -2.4 | 41 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Lane Thomas 10 games | KC vs SDP@KCR | R | 0.5 | -105 | 0.6 | +0.1 | 2/5 | +0.2 | 41 | F | 0.0 | LOSS | WIN | |
| 421 | MLB | Robert Gasser 8 games | MIL vs MIA@MIL | K | 4.5 | -125 | 4.8 | +0.3 | 3/5 | -1 | 41 | F | 5.0 | WIN | LOSS | |
| 422 | MLB | Alec Burleson 10 games | STL vs STL@ARI | H | 0.5 | -259 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 3.0 | WIN | LOSS | |
| 423 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 424 | MLB | Andrés Chaparro 10 games | WSH vs WSN@Athlet | R | 0.5 | +105 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Austin Riley 10 games | ATL vs TEX@ATL | TB | 1.5 | +165 | 1.6 | +0.1 | 1/5 | +0.7 | 40 | F | 9.0 | WIN | LOSS | |
| 426 | MLB | Blaze Jordan 10 games | STL vs STL@ARI | H | 0.5 | -187 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | 3.0 | WIN | LOSS | |
| 427 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | H | 0.5 | -173 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 428 | MLB | Casey Mize 7 games | DET vs DET@LAA | K | 5.5 | -135 | 5.6 | +0.1 | 2/5 | +0.9 | 40 | F | 5.0 | LOSS | WIN | |
| 429 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 430 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | TB | 1.5 | +190 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 431 | MLB | Daylen Lile 10 games | WSH vs WSN@Athlet | RBI | 0.5 | +158 | 0.8 | +0.3 | 1/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 432 | MLB | Dillon Dingler 10 games | DET vs DET@LAA | H | 0.5 | -250 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Edwin Arroyo 10 games | CIN vs CIN@COL | H | 0.5 | -226 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | — | PENDING | PENDING | |
| 434 | MLB | Ezequiel Duran 10 games | TEX vs TEX@ATL | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Hunter Goodman 10 games | COL vs CIN@COL | H | 0.5 | -235 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 3.0 | WIN | LOSS | |
| 436 | MLB | Ildemaro Vargas 10 games | AZ vs STL@ARI | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | — | PENDING | PENDING | |
| 437 | MLB | J.P. Crawford 10 games | SEA vs SFG@SEA | RBI | 0.5 | +271 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Joc Pederson 10 games | TEX vs TEX@ATL | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 439 | MLB | Jonah Heim 10 games | ATH vs WSN@Athlet | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 440 | MLB | Jorge Soler 10 games | LAA vs DET@LAA | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Kahlil Watson 10 games | CLE vs PIT@CLE | TB | 1.5 | +220 | 1 | -0.5 | 2/5 | +1 | 40 | F | 2.0 | WIN | LOSS | |
| 442 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | TB | 1.5 | +170 | 1.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Luis Rengifo 10 games | SD vs SDP@KCR | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 3.0 | WIN | LOSS | |
| 444 | MLB | Masyn Winn 10 games | STL vs STL@ARI | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Matt Olson 10 games | ATL vs TEX@ATL | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 446 | MLB | Max Muncy 10 games | LAD vs LAD@NYY | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Nathan Lukes 10 games | TOR vs CHW@TOR | H | 0.5 | -189 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | 2.0 | WIN | LOSS | |
| 449 | MLB | Nathan Lukes 10 games | TOR vs CHW@TOR | TB | 1.5 | +155 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 450 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 3.0 | 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.