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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 651 | MLB | Brett Baty 10 games | NYM vs KCR@NYM | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 652 | MLB | Brice Turang 10 games | MIL vs MIL@STL | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 653 | MLB | Brooks Lee 10 games | MIN vs CLE@MIN | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | Bryce Harper 10 games | PHI vs PHI@CIN | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 655 | MLB | Bryce Harper 10 games | PHI vs PHI@CIN | RBI | 0.5 | +156 | 0.2 | -0.3 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | Bryson Stott 10 games | PHI vs PHI@CIN | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 657 | MLB | Bryson Stott 10 games | PHI vs PHI@CIN | RBI | 0.5 | +220 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 658 | MLB | Cam Smith 10 games | HOU vs HOU@WSN | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 659 | MLB | Cam Smith 10 games | HOU vs HOU@WSN | RBI | 0.5 | +202 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 660 | MLB | Carlos Cortes 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 661 | MLB | Carlos Narvaez 10 games | BOS vs BOS@CHW | H | 0.5 | -120 | 0.2 | -0.3 | 1/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 662 | MLB | Carlos Narvaez 10 games | BOS vs BOS@CHW | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 663 | MLB | Carson Kelly 10 games | CHC vs CHC@BAL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 664 | MLB | Carson Kelly 10 games | CHC vs CHC@BAL | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 1.0 | WIN | LOSS | |
| 665 | MLB | Cedric Mullins 10 games | TB vs NYY@TBR | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 666 | MLB | Chandler Simpson 10 games | TB vs NYY@TBR | HR | 0.5 | +1600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 667 | MLB | Chandler Simpson 10 games | TB vs NYY@TBR | RBI | 0.5 | +240 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Cody Bellinger 10 games | NYY vs NYY@TBR | H | 1.5 | +300 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 669 | MLB | Cody Bellinger 10 games | NYY vs NYY@TBR | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 670 | MLB | Colt Emerson 10 games | SEA vs SEA@MIA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 671 | MLB | Colt Emerson 10 games | SEA vs SEA@MIA | RBI | 0.5 | +248 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 672 | MLB | Colton Cowser 10 games | BAL vs CHC@BAL | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 673 | MLB | Colton Cowser 10 games | BAL vs CHC@BAL | RBI | 0.5 | +215 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 674 | MLB | Cooper Pratt 10 games | MIL vs MIL@STL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 675 | MLB | Corbin Carroll 10 games | AZ vs ARI@SDP | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 676 | MLB | Dalton Rushing 10 games | LAD vs COL@LAD | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 677 | MLB | Daulton Varsho 10 games | TOR vs TOR@SFG | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | Daulton Varsho 10 games | TOR vs TOR@SFG | RBI | 0.5 | +265 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 679 | MLB | Denzer Guzman 10 games | LAA vs LAA@TEX | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 680 | MLB | Denzer Guzman 10 games | LAA vs LAA@TEX | RBI | 0.5 | +272 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 681 | MLB | Dillon Dingler 10 games | DET vs ATHLETICS@ | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 682 | MLB | Dominic Smith 10 games | ATL vs ATL@PIT | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 683 | MLB | Drew Cavanaugh 8 games | SF vs TOR@SFG | H | 1.5 | +600 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | Drew Cavanaugh 8 games | SF vs TOR@SFG | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 685 | MLB | Drew Romo 10 games | CWS vs BOS@CHW | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 686 | MLB | Drew Romo 10 games | CWS vs BOS@CHW | RBI | 0.5 | +267 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 687 | MLB | Dylan Beavers 8 games | BAL vs CHC@BAL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 688 | MLB | Edouard Julien 10 games | COL vs COL@LAD | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 689 | MLB | Edwin Arroyo 10 games | CIN vs PHI@CIN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 690 | MLB | Edwin Arroyo 10 games | CIN vs PHI@CIN | RBI | 0.5 | +220 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 691 | MLB | Elly De La Cruz 10 games | CIN vs PHI@CIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 692 | MLB | Enmanuel Valdez 10 games | PIT vs ATL@PIT | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 693 | MLB | Eric Haase 10 games | SF vs TOR@SFG | H | 0.5 | +125 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Eric Haase 10 games | SF vs TOR@SFG | RBI | 0.5 | +340 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 695 | MLB | Ernie Clement 10 games | TOR vs TOR@SFG | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 696 | MLB | Esmerlyn Valdez 10 games | PIT vs ATL@PIT | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Fernando Tatis Jr. 10 games | SD vs ARI@SDP | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 698 | MLB | Francisco Lindor 10 games | NYM vs KCR@NYM | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 699 | MLB | Gabriel Moreno 10 games | AZ vs ARI@SDP | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 700 | MLB | Garrett Mitchell 10 games | MIL vs MIL@STL | RBI | 0.5 | +213 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN |
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.