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 | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | TB | 1.5 | +103 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 4.0 | WIN | LOSS | |
| 502 | MLB | William Contreras 10 games | MIL vs CLE@MIL | H | 1.5 | +240 | 1.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 503 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | R | 1.5 | +600 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 504 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | RBI | 1.5 | +475 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 505 | MLB | Willy Adames 10 games | SF vs SFG@ATL | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | — | PENDING | PENDING | |
| 506 | MLB | Willy Adames 10 games | SF vs SFG@ATL | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 507 | MLB | Willy Adames 10 games | SF vs SFG@ATL | RBI | 0.5 | +197 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 508 | MLB | Wilyer Abreu 10 games | BOS vs TOR@BOS | H | 1.5 | +240 | 1.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 509 | MLB | Wilyer Abreu 10 games | BOS vs TOR@BOS | R | 0.5 | +101 | 0.6 | +0.1 | 1/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 510 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | H | 1.5 | +340 | 1.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 511 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 512 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | RBI | 0.5 | +164 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 513 | MLB | Alec Burleson 10 games | STL vs STL@KCR | TB | 1.5 | +120 | 1.8 | +0.3 | 2/5 | -1.6 | 36 | F | 0.0 | LOSS | WIN | |
| 514 | MLB | Alejandro Kirk 4 games | TOR vs TOR@BOS | H | 0.5 | -250 | 1 | +0.5 | 2/4 | -0.7 | 36 | F | — | PENDING | PENDING | |
| 515 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.4 | 36 | F | 1.0 | WIN | LOSS | |
| 516 | MLB | Colson Montgomery 10 games | CWS vs CHW@NYY | H | 0.5 | -155 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | F | 2.0 | WIN | LOSS | |
| 517 | MLB | Colton Cowser 10 games | BAL vs BAL@SEA | H | 0.5 | -104 | 0.4 | -0.1 | 2/5 | -0.2 | 36 | F | 1.0 | WIN | LOSS | |
| 518 | MLB | David Hamilton 10 games | MIL vs CLE@MIL | H | 0.5 | -104 | 0.4 | -0.1 | 2/5 | +-0 | 36 | F | — | PENDING | PENDING | |
| 519 | MLB | J.T. Realmuto 10 games | PHI vs NYM@PHI | H | 0.5 | -175 | 0.8 | +0.3 | 2/5 | +0.8 | 36 | F | 0.0 | LOSS | WIN | |
| 520 | MLB | MJ Melendez 10 games | NYM vs NYM@PHI | H | 0.5 | -106 | 0.4 | -0.1 | 2/5 | -0.5 | 36 | F | 0.0 | LOSS | WIN | |
| 521 | MLB | Tyler Soderstrom 10 games | ATH vs LAA@Athlet | TB | 1.5 | +130 | 1.8 | +0.3 | 2/5 | -2 | 36 | F | 4.0 | WIN | LOSS | |
| 522 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 1.0 | LOSS | WIN | |
| 523 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | RBI | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 524 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 525 | MLB | Isaac Collins 10 games | KC vs STL@KCR | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 526 | MLB | J.C. Escarra 10 games | NYY vs CHW@NYY | H | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 527 | MLB | J.C. Escarra 10 games | NYY vs CHW@NYY | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 528 | MLB | J.T. Realmuto 10 games | PHI vs NYM@PHI | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 529 | MLB | Jeff McNeil 10 games | ATH vs LAA@Athlet | TB | 1.5 | +180 | 1.2 | -0.3 | 1/5 | +1.4 | 35 | F | 1.0 | LOSS | WIN | |
| 530 | MLB | Julio Rodriguez 10 games | SEA vs BAL@SEA | TB | 1.5 | +125 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | — | PENDING | PENDING | |
| 531 | MLB | Luis Arraez 10 games | SF vs SFG@ATL | RBI | 1.5 | +900 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | — | PENDING | PENDING | |
| 532 | MLB | Luke Keaschall 10 games | MIN vs MIN@TEX | R | 1.5 | +1300 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 533 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | TB | 1.5 | +150 | 1.2 | -0.3 | 1/5 | +0.8 | 35 | F | — | PENDING | PENDING | |
| 534 | MLB | Nathan Lukes 10 games | TOR vs TOR@BOS | H | 1.5 | +230 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 535 | MLB | Nathan Lukes 10 games | TOR vs TOR@BOS | TB | 1.5 | +130 | 1.4 | -0.1 | 1/5 | +0.8 | 35 | F | 4.0 | WIN | LOSS | |
| 536 | MLB | Nick Loftin 10 games | KC vs STL@KCR | H | 0.5 | -146 | 0.8 | +0.3 | 2/5 | +0.4 | 35 | F | 2.0 | WIN | LOSS | |
| 537 | MLB | Shane Drohan 10 games | MIL vs CLE@MIL | K | 5.5 | +114 | 4.4 | -1.1 | 1/5 | +1.6 | 35 | F | 3.0 | LOSS | WIN | |
| 538 | MLB | Shane Drohan 10 games | MIL vs CLE@MIL | K | 6.5 | +225 | 4.4 | -2.1 | 1/5 | +1.6 | 35 | F | 3.0 | LOSS | WIN | |
| 539 | MLB | Stuart Fairchild 8 games | CLE vs CLE@MIL | R | 1.5 | +1500 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 540 | MLB | Trevor Larnach 10 games | MIN vs MIN@TEX | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | +0.9 | 35 | F | 3.0 | WIN | LOSS | |
| 541 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 542 | MLB | Alec Burleson 10 games | STL vs STL@KCR | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 543 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | TB | 1.5 | +150 | 1.8 | +0.3 | 1/5 | -1.2 | 34 | F | 4.0 | WIN | LOSS | |
| 544 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | RBI | 1.5 | +600 | 1 | -0.5 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 545 | MLB | Cole Young 10 games | SEA vs BAL@SEA | H | 1.5 | +380 | 1.2 | -0.3 | 2/5 | -0.6 | 34 | F | 1.0 | LOSS | WIN | |
| 546 | MLB | Colt Emerson 10 games | SEA vs BAL@SEA | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 547 | MLB | Drake Baldwin 10 games | ATL vs SFG@ATL | RBI | 1.5 | +550 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | — | PENDING | PENDING | |
| 548 | MLB | Garrett Mitchell 10 games | MIL vs CLE@MIL | H | 1.5 | +475 | 1 | -0.5 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 549 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | TB | 1.5 | +115 | 1.8 | +0.3 | 1/5 | -1.3 | 34 | F | 0.0 | LOSS | WIN | |
| 550 | MLB | JJ Wetherholt 10 games | STL vs STL@KCR | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 1.0 | 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.