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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 501 | MLB | Jose Caballero 10 games | NYY vs PIT@NYY | RBI | 0.5 | +270 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 502 | MLB | Julio Rodriguez 5 games | SEA vs CIN@SEA | RBI | 0.5 | +190 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | — | PENDING | PENDING | |
| 503 | MLB | Jung Hoo Lee 10 games | SF vs SFG@KCR | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 504 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 505 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | RBI | 0.5 | +146 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 506 | MLB | Keibert Ruiz 10 games | WSH vs WSN@COL | TB | 1.5 | +100 | 1.6 | +0.1 | 2/5 | -0.5 | 42 | F | 2.0 | WIN | LOSS | |
| 507 | MLB | Ketel Marte 10 games | AZ vs Athletics@ | TB | 1.5 | -112 | 1.6 | +0.1 | 2/5 | +0.7 | 42 | F | 3.0 | WIN | LOSS | |
| 508 | MLB | Kevin McGonigle 10 games | DET vs DET@CHC | R | 0.5 | +110 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 509 | MLB | Lane Thomas 10 games | KC vs SFG@KCR | R | 0.5 | +115 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 510 | MLB | Lane Thomas 10 games | KC vs SFG@KCR | RBI | 0.5 | +222 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 2.0 | WIN | LOSS | |
| 511 | MLB | Liam Hicks 10 games | MIA vs MIA@HOU | R | 0.5 | +155 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 512 | MLB | Luis Robert Jr. 2 games | NYM vs NYM@MIL | HR | 0.5 | +550 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 513 | MLB | Luis Robert Jr. 2 games | NYM vs NYM@MIL | R | 0.5 | +190 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 514 | MLB | Luis Robert Jr. 2 games | NYM vs NYM@MIL | RBI | 0.5 | +277 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 515 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | H | 0.5 | -136 | 0.6 | +0.1 | 3/5 | +-0 | 42 | F | 1.0 | WIN | LOSS | |
| 516 | MLB | Masataka Yoshida 10 games | BOS vs BAL@BOS | RBI | 0.5 | +170 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 517 | MLB | Masyn Winn 10 games | STL vs STL@LAA | RBI | 0.5 | +242 | 0.8 | +0.3 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 518 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | R | 0.5 | +110 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 519 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | TB | 1.5 | +120 | 1.8 | +0.3 | 2/5 | -0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 520 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | TB | 1.5 | -115 | 1.6 | +0.1 | 2/5 | +1.4 | 42 | F | 1.0 | LOSS | WIN | |
| 521 | MLB | Nick Gonzales 10 games | PIT vs PIT@NYY | RBI | 0.5 | +256 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 522 | MLB | Patrick Bailey 10 games | CLE vs MIN@CLE | RBI | 0.5 | +298 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 523 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | TB | 1.5 | +130 | 1.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 524 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | +0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 525 | MLB | Salvador Perez 10 games | KC vs SFG@KCR | RBI | 0.5 | +170 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 2.0 | WIN | LOSS | |
| 526 | MLB | Sam Antonacci 10 games | CWS vs CHW@TEX | R | 0.5 | +120 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 527 | MLB | Sam Antonacci 10 games | CWS vs CHW@TEX | RBI | 0.5 | +225 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 528 | MLB | Seiya Suzuki 10 games | CHC vs DET@CHC | RBI | 0.5 | +211 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 529 | MLB | Spencer Steer 10 games | CIN vs CIN@SEA | RBI | 0.5 | +213 | 0.8 | +0.3 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 530 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | TB | 1.5 | +180 | 2.2 | +0.7 | 2/5 | -1.9 | 42 | F | 3.0 | WIN | LOSS | |
| 531 | MLB | Tommy Edman 10 games | LAD vs LAD@PHI | RBI | 0.5 | +222 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 3.0 | WIN | LOSS | |
| 532 | MLB | Tommy Edman 10 games | LAD vs LAD@PHI | TB | 1.5 | +170 | 1.6 | +0.1 | 2/5 | +0.3 | 42 | F | 5.0 | WIN | LOSS | |
| 533 | MLB | Tommy White 4 games | ATH vs Athletics@ | H | 1.5 | +280 | 1.8 | +0.3 | 2/4 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 534 | MLB | Trevor Larnach 10 games | MIN vs MIN@CLE | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 535 | MLB | Tyler Locklear 2 games | AZ vs Athletics@ | R | 0.5 | +140 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 536 | MLB | Tyler Locklear 2 games | AZ vs Athletics@ | RBI | 0.5 | +218 | 0.5 | +0 | 1/2 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 537 | MLB | Tyler O'Neill 10 games | BAL vs BAL@BOS | RBI | 0.5 | +150 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 538 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | TB | 1.5 | +140 | 1.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 539 | MLB | Wilyer Abreu 10 games | BOS vs BAL@BOS | HR | 0.5 | +325 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 540 | MLB | Garrett Mitchell 10 games | MIL vs NYM@MIL | H | 1.5 | +380 | 1.4 | -0.1 | 3/5 | -0.5 | 41 | F | 0.0 | LOSS | WIN | |
| 541 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TEX | R | 0.5 | -110 | 0.6 | +0.1 | 2/5 | +0.2 | 41 | F | 1.0 | WIN | LOSS | |
| 542 | MLB | Aaron Nola 10 games | PHI vs LAD@PHI | K | 6.5 | +215 | 6.2 | -0.3 | 2/5 | +1.3 | 40 | F | 4.0 | LOSS | WIN | |
| 543 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TEX | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 2.0 | WIN | LOSS | |
| 544 | MLB | Andy Pages 10 games | LAD vs LAD@PHI | H | 0.5 | -249 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 1.0 | WIN | LOSS | |
| 545 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | H | 1.5 | +280 | 1 | -0.5 | 2/5 | +1 | 40 | F | 1.0 | LOSS | WIN | |
| 546 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | TB | 1.5 | +150 | 1.2 | -0.3 | 2/5 | +1.2 | 40 | F | 1.0 | LOSS | WIN | |
| 547 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 548 | MLB | Carlos Cortes 10 games | ATH vs Athletics@ | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 549 | MLB | Carlos Cortes 10 games | ATH vs Athletics@ | TB | 1.5 | +123 | 1.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 550 | MLB | Chase Meidroth 10 games | CWS vs CHW@TEX | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 4.0 | 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.