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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Cam Schlittler 10 games | NYY vs BOS@NYY | K | 6.5 | +132 | 6.2 | -0.3 | 2/5 | -0.9 | 34 | F | 5.0 | LOSS | WIN | |
| 752 | MLB | Carson Benge 10 games | NYM vs NYM@SDP | RBI | 0.5 | +258 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 753 | MLB | Cody Bellinger 10 games | NYY vs BOS@NYY | TB | 1.5 | +120 | 1 | -0.5 | 2/5 | -1.2 | 34 | F | 5.0 | WIN | LOSS | |
| 754 | MLB | Jacob deGrom 10 games | TEX vs CLE@TEX | K | 6.5 | +130 | 6.2 | -0.3 | 2/5 | -0.8 | 34 | F | 6.0 | LOSS | WIN | |
| 755 | MLB | Jake McCarthy 10 games | COL vs MIL@COL | RBI | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 756 | MLB | Keibert Ruiz 10 games | WSH vs WSN@ARI | TB | 1.5 | +180 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 757 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TEX | H | 1.5 | +400 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Marcelo Mayer 10 games | BOS vs BOS@NYY | H | 0.5 | -119 | 0.4 | -0.1 | 2/5 | -0.4 | 34 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Michael McGreevy 10 games | STL vs CIN@STL | K | 4.5 | +130 | 4 | -0.5 | 2/5 | -0.8 | 34 | F | 5.0 | WIN | LOSS | |
| 760 | MLB | Nick Kurtz 10 games | ATH vs Athletics@ | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | 1.0 | WIN | LOSS | |
| 761 | MLB | Nick Kurtz 10 games | ATH vs Athletics@ | RBI | 0.5 | +148 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 762 | MLB | Oneil Cruz 10 games | PIT vs PIT@ATL | RBI | 0.5 | +180 | 0.6 | +0.1 | 1/5 | -0.9 | 34 | F | — | PENDING | PENDING | |
| 763 | MLB | Owen Caissie 10 games | MIA vs TBR@MIA | RBI | 0.5 | +258 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 764 | MLB | Ozzie Albies 10 games | ATL vs PIT@ATL | H | 1.5 | +280 | 0.8 | -0.7 | 2/5 | -1.1 | 34 | F | 1.0 | LOSS | WIN | |
| 765 | MLB | Spencer Torkelson 10 games | DET vs SEA@DET | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | -0.7 | 34 | F | 1.0 | WIN | LOSS | |
| 766 | MLB | Spencer Torkelson 10 games | DET vs SEA@DET | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 1.0 | LOSS | WIN | |
| 767 | MLB | TJ Rumfield 10 games | COL vs MIL@COL | H | 1.5 | +180 | 1 | -0.5 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Wyatt Langford 10 games | TEX vs CLE@TEX | TB | 1.5 | +140 | 1.4 | -0.1 | 2/5 | -1 | 34 | F | 4.0 | WIN | LOSS | |
| 769 | MLB | Anthony Volpe 10 games | NYY vs BOS@NYY | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Brandon Lowe 10 games | PIT vs PIT@ATL | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 1.0 | WIN | LOSS | |
| 771 | MLB | Bryson Stott 10 games | PHI vs CHW@PHI | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | +0.3 | 33 | F | 1.0 | WIN | LOSS | |
| 772 | MLB | Edwin Arroyo 4 games | CIN vs CIN@STL | H | 0.5 | -195 | 0.5 | +0 | 2/4 | -0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 773 | MLB | Garrett Mitchell 10 games | MIL vs MIL@COL | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.5 | 33 | F | 3.0 | WIN | LOSS | |
| 774 | MLB | Javier Sanoja 10 games | MIA vs TBR@MIA | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | +0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Kyle Schwarber 10 games | PHI vs CHW@PHI | R | 0.5 | -170 | 0.6 | +0.1 | 2/5 | +0.3 | 33 | F | 1.0 | WIN | LOSS | |
| 776 | MLB | LuJames Groover 2 games | AZ vs WSN@ARI | H | 0.5 | -155 | 0.5 | +0 | 1/2 | +0 | 33 | F | 1.0 | WIN | LOSS | |
| 777 | MLB | Miguel Andujar 10 games | SD vs NYM@SDP | H | 0.5 | -220 | 0.6 | +0.1 | 2/5 | -0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 778 | MLB | Orlando Arcia 10 games | MIN vs KCR@MIN | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | +0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Richie Palacios 10 games | TB vs TBR@MIA | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 1.0 | WIN | LOSS | |
| 780 | MLB | Travis Bazzana 10 games | CLE vs CLE@TEX | H | 0.5 | -165 | 0.8 | +0.3 | 2/5 | +0 | 33 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | Ty France 10 games | SD vs NYM@SDP | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs BAL@TOR | H | 0.5 | -251 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Adley Rutschman 10 games | BAL vs BAL@TOR | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Adolis Garcia 6 games | PHI vs CHW@PHI | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 785 | MLB | Adolis Garcia 6 games | PHI vs CHW@PHI | TB | 1.5 | +160 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 786 | MLB | Alec Bohm 10 games | PHI vs CHW@PHI | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Alec Bohm 10 games | PHI vs CHW@PHI | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 788 | MLB | Alec Burleson 10 games | STL vs CIN@STL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Alex Bregman 10 games | CHC vs SFG@CHC | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Alex Bregman 10 games | CHC vs SFG@CHC | RBI | 0.5 | +217 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Alex Freeland 10 games | LAD vs LAA@LAD | TB | 1.5 | +275 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Alex Jackson 6 games | MIN vs KCR@MIN | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 793 | MLB | Amed Rosario 10 games | NYY vs BOS@NYY | HR | 0.5 | +600 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 794 | MLB | Andrew Vaughn 10 games | MIL vs MIL@COL | H | 1.5 | +120 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 795 | MLB | Andy Pages 10 games | LAD vs LAA@LAD | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 796 | MLB | Anthony Volpe 10 games | NYY vs BOS@NYY | RBI | 0.5 | +221 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Austin Hedges 10 games | CLE vs CLE@TEX | R | 0.5 | +252 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 798 | MLB | Austin Riley 10 games | ATL vs PIT@ATL | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | Ben Rice 10 games | NYY vs BOS@NYY | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Blake Dunn 10 games | CIN vs CIN@STL | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 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.