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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | MLB | Jordan Walker 10 games | STL vs STL@KCR | TB | 1.5 | +100 | 1.2 | -0.3 | 2/5 | -1.2 | 34 | F | 2.0 | WIN | LOSS | |
| 552 | MLB | Juan Soto 10 games | NYM vs NYM@PHI | TB | 2.5 | +170 | 2 | -0.5 | 2/5 | -0.5 | 34 | F | 8.0 | WIN | LOSS | |
| 553 | MLB | Marcelo Mayer 10 games | BOS vs TOR@BOS | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | -0.2 | 34 | F | — | PENDING | PENDING | |
| 554 | MLB | Michael Harris II 10 games | ATL vs SFG@ATL | TB | 1.5 | +124 | 1.6 | +0.1 | 1/5 | -0.7 | 34 | F | — | PENDING | PENDING | |
| 555 | MLB | Ozzie Albies 10 games | ATL vs SFG@ATL | TB | 1.5 | +155 | 1 | -0.5 | 2/5 | -0.5 | 34 | F | — | PENDING | PENDING | |
| 556 | MLB | Pete Alonso 10 games | BAL vs BAL@SEA | RBI | 1.5 | +500 | 0.8 | -0.7 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Rhys Hoskins 10 games | CLE vs CLE@MIL | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | -0.2 | 34 | F | 0.0 | LOSS | WIN | |
| 558 | MLB | Royce Lewis 10 games | MIN vs MIN@TEX | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 559 | MLB | Sean Manaea 10 games | NYM vs NYM@PHI | K | 5.5 | +125 | 4.4 | -1.1 | 2/5 | +0.4 | 34 | F | 5.0 | LOSS | WIN | |
| 560 | MLB | Trey Yesavage 9 games | TOR vs TOR@BOS | K | 5.5 | +130 | 5.2 | -0.3 | 2/5 | -1.2 | 34 | F | 6.0 | WIN | LOSS | |
| 561 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | -0.5 | 33 | F | 2.0 | WIN | LOSS | |
| 562 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | +0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 563 | MLB | Edgar Quero 10 games | CWS vs CHW@NYY | H | 0.5 | -180 | 0.8 | +0.3 | 2/5 | +0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | Jack Leiter 10 games | TEX vs MIN@TEX | K | 4.5 | -250 | 4.8 | +0.3 | 2/5 | -0.5 | 33 | F | 4.0 | LOSS | WIN | |
| 565 | MLB | Jordan Walker 10 games | STL vs STL@KCR | H | 0.5 | -271 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 566 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | H | 0.5 | -250 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | — | PENDING | PENDING | |
| 567 | MLB | Trea Turner 10 games | PHI vs NYM@PHI | H | 0.5 | -300 | 0.8 | +0.3 | 2/5 | +0.1 | 33 | F | — | PENDING | PENDING | |
| 568 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | H | 1.5 | +260 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 569 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 570 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | R | 0.5 | +140 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 571 | MLB | Aaron Nola 10 games | PHI vs NYM@PHI | K | 5.5 | +124 | 5 | -0.5 | 1/5 | +0.3 | 32 | F | 6.0 | WIN | LOSS | |
| 572 | MLB | Adley Rutschman 10 games | BAL vs BAL@SEA | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 573 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 574 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | R | 0.5 | +110 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 575 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 576 | MLB | Alec Burleson 10 games | STL vs STL@KCR | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Alejandro Kirk 4 games | TOR vs TOR@BOS | R | 0.5 | +125 | 0.3 | -0.3 | 1/4 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 578 | MLB | Alejandro Kirk 4 games | TOR vs TOR@BOS | RBI | 1.5 | +475 | 0.5 | -1 | 1/4 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 579 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | RBI | 0.5 | +361 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 580 | MLB | Andrew Vaughn 10 games | MIL vs CLE@MIL | RBI | 0.5 | +179 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 581 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | RBI | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 582 | MLB | Austin Riley 10 games | ATL vs SFG@ATL | H | 1.5 | +320 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 583 | MLB | Austin Riley 10 games | ATL vs SFG@ATL | RBI | 0.5 | +210 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 584 | MLB | Ben Rice 10 games | NYY vs CHW@NYY | H | 1.5 | +200 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 585 | MLB | Ben Rice 10 games | NYY vs CHW@NYY | R | 1.5 | +340 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 586 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 587 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | R | 1.5 | +1500 | 0.8 | -0.7 | 0/5 | +0.6 | 32 | F | 0.0 | LOSS | WIN | |
| 588 | MLB | Blaze Alexander 10 games | BAL vs BAL@SEA | RBI | 0.5 | +348 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 589 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 590 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 591 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 592 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 594 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | RBI | 0.5 | +195 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 595 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIL | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 596 | MLB | Brett Baty 10 games | NYM vs NYM@PHI | RBI | 0.5 | +214 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 597 | MLB | Brice Turang 10 games | MIL vs CLE@MIL | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 598 | MLB | Brice Turang 10 games | MIL vs CLE@MIL | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 599 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | H | 1.5 | +320 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 600 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | 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.