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 | Rafael Devers 10 games | SF vs WSN@SFG | RBI | 0.5 | +177 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 502 | MLB | Randy Arozarena 10 games | SEA vs SEA@BAL | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 503 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 504 | MLB | Sal Stewart 10 games | CIN vs CIN@SDP | TB | 1.5 | +140 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 505 | MLB | Shea Langeliers 10 games | ATH vs MIL@Athlet | RBI | 0.5 | +132 | 0.6 | +0.1 | 1/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 506 | MLB | Steven Kwan 10 games | CLE vs NYY@CLE | H | 1.5 | +360 | 1 | -0.5 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 507 | MLB | Steven Kwan 10 games | CLE vs NYY@CLE | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 508 | MLB | Taylor Walls 10 games | TB vs BOS@TBR | R | 0.5 | +190 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 509 | MLB | Travis Bazzana 10 games | CLE vs NYY@CLE | RBI | 0.5 | +228 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 510 | MLB | Trea Turner 10 games | PHI vs PHI@TOR | RBI | 0.5 | +191 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 511 | MLB | Trent Grisham 10 games | NYY vs NYY@CLE | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 512 | MLB | Trent Grisham 10 games | NYY vs NYY@CLE | RBI | 0.5 | +225 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 513 | MLB | Ty France 10 games | SD vs CIN@SDP | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 514 | MLB | Tyler Heineman 9 games | TOR vs PHI@TOR | R | 0.5 | +299 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 515 | MLB | Tyler Soderstrom 10 games | ATH vs MIL@Athlet | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.8 | 37 | F | 3.0 | WIN | LOSS | |
| 516 | MLB | Tyler Stephenson 10 games | CIN vs CIN@SDP | H | 0.5 | -125 | 0.8 | +0.3 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 517 | MLB | William Contreras 10 games | MIL vs MIL@Athlet | TB | 1.5 | -115 | 1.4 | -0.1 | 2/5 | +1.2 | 37 | F | 6.0 | WIN | LOSS | |
| 518 | MLB | Willson Contreras 10 games | BOS vs BOS@TBR | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 519 | MLB | Willy Adames 10 games | SF vs WSN@SFG | H | 1.5 | +300 | 0.8 | -0.7 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 520 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TBR | R | 0.5 | +126 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 521 | MLB | Yordan Alvarez 10 games | HOU vs HOU@LAA | H | 1.5 | +184 | 1.6 | +0.1 | 1/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 522 | MLB | Yordan Alvarez 10 games | HOU vs HOU@LAA | R | 1.5 | +360 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 523 | MLB | Yordan Alvarez 10 games | HOU vs HOU@LAA | RBI | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 524 | MLB | Yordan Alvarez 10 games | HOU vs HOU@LAA | TB | 2.5 | +160 | 2.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 525 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 526 | MLB | Zack Gelof 10 games | ATH vs MIL@Athlet | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 527 | MLB | Zack Gelof 10 games | ATH vs MIL@Athlet | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 6.0 | WIN | LOSS | |
| 528 | NBA | De'Aaron Fox 10 games | SAS vs NYK | AST | 6.50 | +175 | 6 | -0.5 | 2/5 | +0 | 36 | F | 8.0 | WIN | LOSS | |
| 529 | NBA | Landry Shamet 10 games | NYK vs SAS | AST | 1.50 | +190 | 1.4 | -0.1 | 3/5 | +0.4 | 36 | F | 2.0 | WIN | LOSS | |
| 530 | NBA | Mikal Bridges 10 games | NYK vs SAS | REB | 4.50 | +220 | 4.2 | -0.3 | 2/5 | +0 | 36 | F | 5.0 | WIN | LOSS | |
| 531 | NBA | OG Anunoby 10 games | NYK vs SAS | 3PM | 2.50 | +154 | 2.2 | -0.3 | 2/5 | +0.4 | 36 | F | 3.0 | WIN | LOSS | |
| 532 | NBA | OG Anunoby 10 games | NYK vs SAS | REB | 6.50 | +220 | 5 | -1.5 | 2/5 | +0.9 | 36 | F | 5.0 | LOSS | WIN | |
| 533 | NBA | Stephon Castle 10 games | SAS vs NYK | AST | 5.50 | -225 | 5.6 | +0.1 | 3/5 | -2.3 | 36 | F | 5.0 | LOSS | WIN | |
| 534 | NBA | Victor Wembanyama 10 games | SAS vs NYK | 3PM | 2.50 | +150 | 2.2 | -0.3 | 2/5 | +0.3 | 36 | F | 2.0 | LOSS | WIN | |
| 535 | MLB | Julio Rodriguez 10 games | SEA vs SEA@BAL | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0.1 | 36 | F | — | PENDING | PENDING | |
| 536 | MLB | Nick Kurtz 10 games | ATH vs MIL@Athlet | R | 0.5 | -109 | 0.4 | -0.1 | 2/5 | +-0 | 36 | F | 3.0 | WIN | LOSS | |
| 537 | MLB | William Contreras 10 games | MIL vs MIL@Athlet | H | 0.5 | -350 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | F | 3.0 | WIN | LOSS | |
| 538 | NBA | Josh Hart 10 games | NYK vs SAS | 3PM | 1.50 | +141 | 1.6 | +0.1 | 2/5 | -1.2 | 35 | F | 4.0 | WIN | LOSS | |
| 539 | NBA | Luke Kornet 10 games | SAS vs NYK | REB | 1.50 | -190 | 2.8 | +1.3 | 3/5 | -0.7 | 35 | F | 5.0 | WIN | LOSS | |
| 540 | NBA | Miles McBride 10 games | NYK vs SAS | REB | 1.50 | +125 | 1.8 | +0.3 | 3/5 | +0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 541 | MLB | Adley Rutschman 10 games | BAL vs SEA@BAL | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 542 | MLB | Adley Rutschman 10 games | BAL vs SEA@BAL | RBI | 1.5 | +600 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 543 | MLB | Andrew Vaughn 10 games | MIL vs MIL@Athlet | H | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 4.0 | WIN | LOSS | |
| 544 | MLB | Andrew Vaughn 10 games | MIL vs MIL@Athlet | R | 1.5 | +450 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 545 | MLB | Andrew Vaughn 10 games | MIL vs MIL@Athlet | RBI | 1.5 | +320 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 4.0 | WIN | LOSS | |
| 546 | MLB | Brandon Marsh 10 games | PHI vs PHI@TOR | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 547 | MLB | Brandon Valenzuela 10 games | TOR vs PHI@TOR | H | 1.5 | +475 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 548 | MLB | Brayan Rocchio 10 games | CLE vs NYY@CLE | TB | 1.5 | +220 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 2.0 | WIN | LOSS | |
| 549 | MLB | Brent Rooker 10 games | ATH vs MIL@Athlet | RBI | 1.5 | +400 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 550 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | H | 0.5 | -150 | 0.8 | +0.3 | 2/5 | -0.2 | 35 | F | 2.0 | 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.