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 | Ketel Marte 10 games | AZ vs STL@ARI | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0 | 34 | F | 1.0 | WIN | LOSS | |
| 652 | MLB | Kyle Karros 10 games | COL vs CIN@COL | TB | 1.5 | +127 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 1.0 | LOSS | WIN | |
| 653 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | H | 0.5 | -116 | 0.4 | -0.1 | 2/5 | +0.4 | 34 | F | 0.0 | LOSS | WIN | |
| 654 | MLB | LaMonte Wade Jr. 10 games | HOU vs BAL@HOU | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 655 | MLB | Manny Machado 10 games | SD vs SDP@KCR | TB | 1.5 | +103 | 1.2 | -0.3 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 656 | MLB | Nolan Schanuel 10 games | LAA vs DET@LAA | TB | 1.5 | +150 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 3.0 | WIN | LOSS | |
| 657 | MLB | Ozzie Albies 10 games | ATL vs TEX@ATL | TB | 1.5 | +133 | 0.8 | -0.7 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 658 | MLB | Pete Alonso 10 games | BAL vs BAL@HOU | TB | 1.5 | +145 | 1.6 | +0.1 | 1/5 | -1.4 | 34 | F | 0.0 | LOSS | WIN | |
| 659 | MLB | Rhys Hoskins 10 games | CLE vs PIT@CLE | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0 | 34 | F | — | PENDING | PENDING | |
| 660 | MLB | Richie Palacios 10 games | TB vs TBR@BOS | TB | 1.5 | +210 | 1.2 | -0.3 | 2/5 | -1 | 34 | F | 1.0 | LOSS | WIN | |
| 661 | MLB | Robbie Ray 10 games | SF vs SFG@SEA | K | 5.5 | +110 | 4.8 | -0.7 | 2/5 | -1.5 | 34 | F | 6.0 | WIN | LOSS | |
| 662 | MLB | Vaughn Grissom 10 games | LAA vs DET@LAA | TB | 1.5 | +175 | 1.6 | +0.1 | 1/5 | -0.9 | 34 | F | 3.0 | WIN | LOSS | |
| 663 | MLB | Zach Neto 10 games | LAA vs DET@LAA | TB | 1.5 | +120 | 1 | -0.5 | 2/5 | -1.1 | 34 | F | 1.0 | LOSS | WIN | |
| 664 | MLB | Alex Bregman 10 games | CHC vs MIN@CHC | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | +0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 665 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | — | PENDING | PENDING | |
| 666 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | — | PENDING | PENDING | |
| 667 | MLB | Daylen Lile 10 games | WSH vs WSN@Athlet | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | +0.3 | 33 | F | 0.0 | LOSS | WIN | |
| 668 | MLB | Francisco Lindor 10 games | NYM vs NYM@PHI | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | +-0 | 33 | F | 3.0 | WIN | LOSS | |
| 669 | MLB | Jung Hoo Lee 10 games | SF vs SFG@SEA | H | 0.5 | -165 | 0.8 | +0.3 | 2/5 | +0.3 | 33 | F | 1.0 | WIN | LOSS | |
| 670 | MLB | Luis Campusano 9 games | SD vs SDP@KCR | H | 0.5 | -166 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 1.0 | WIN | LOSS | |
| 671 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TOR | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.6 | 33 | F | 0.0 | LOSS | WIN | |
| 672 | MLB | Nick Gonzales 10 games | PIT vs PIT@CLE | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 2.0 | WIN | LOSS | |
| 673 | MLB | Ozzie Albies 10 games | ATL vs TEX@ATL | H | 0.5 | -220 | 0.6 | +0.1 | 2/5 | -0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 674 | MLB | Paul Goldschmidt 10 games | NYY vs LAD@NYY | H | 0.5 | -152 | 0.6 | +0.1 | 2/5 | +0 | 33 | F | 2.0 | WIN | LOSS | |
| 675 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 676 | MLB | TJ Friedl 10 games | CIN vs CIN@COL | H | 0.5 | -183 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 677 | MLB | Travis Bazzana 10 games | CLE vs PIT@CLE | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 678 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | H | 1.5 | +195 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 679 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | RBI | 0.5 | +232 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 680 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 681 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | TB | 1.5 | +141 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 682 | MLB | Alan Rangel 4 games | PHI vs NYM@PHI | K | 4.5 | +115 | 4.3 | -0.3 | 1/4 | +0.1 | 32 | F | 4.0 | LOSS | WIN | |
| 683 | MLB | Alan Roden 7 games | MIN vs MIN@CHC | RBI | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 684 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 685 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | RBI | 0.5 | +214 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 686 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | TB | 1.5 | +160 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 5.0 | WIN | LOSS | |
| 687 | MLB | Alec Burleson 10 games | STL vs STL@ARI | H | 1.5 | +195 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 688 | MLB | Alec Burleson 10 games | STL vs STL@ARI | RBI | 0.5 | +166 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 689 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | R | 0.5 | +175 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 690 | MLB | Andrés Chaparro 10 games | WSH vs WSN@Athlet | HR | 0.5 | +400 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 691 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TOR | TB | 1.5 | +160 | 1.2 | -0.3 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 692 | MLB | Andruw Monasterio 10 games | BOS vs TBR@BOS | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 693 | MLB | Andy Pages 10 games | LAD vs LAD@NYY | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 694 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 695 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 696 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | RBI | 0.5 | +330 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 697 | MLB | Austin Riley 10 games | ATL vs TEX@ATL | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 698 | MLB | Ben Rice 10 games | NYY vs LAD@NYY | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 699 | MLB | Blaze Jordan 10 games | STL vs STL@ARI | RBI | 0.5 | +209 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 700 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | RBI | 0.5 | +168 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | 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.