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 | Kameron Misner 10 games | KC vs KCR@NYM | RBI | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 752 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@SFG | H | 1.5 | +340 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 2.0 | WIN | LOSS | |
| 753 | MLB | Keibert Ruiz 10 games | WSH vs HOU@WSN | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 754 | MLB | Ketel Marte 10 games | AZ vs ARI@SDP | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIN | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 756 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIN | RBI | 0.5 | +202 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 757 | MLB | Kyle Tucker 10 games | LAD vs COL@LAD | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Kyle Tucker 10 games | LAD vs COL@LAD | RBI | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 759 | MLB | Lawrence Butler 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Liam Hicks 10 games | MIA vs SEA@MIA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 761 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@TEX | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 762 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@SDP | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 763 | MLB | Luis Arraez 10 games | SF vs TOR@SFG | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 764 | MLB | Luis Campusano 4 games | SD vs ARI@SDP | HR | 0.5 | +600 | 0 | -0.5 | 0/4 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 765 | MLB | Luis Campusano 4 games | SD vs ARI@SDP | RBI | 0.5 | +230 | 0 | -0.5 | 0/4 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 766 | MLB | Luisangel Acuna 10 games | CWS vs BOS@CHW | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 767 | MLB | Luisangel Acuna 10 games | CWS vs BOS@CHW | RBI | 0.5 | +296 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Luke Raley 10 games | SEA vs SEA@MIA | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Matt Vierling 10 games | DET vs ATHLETICS@ | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Max Muncy 10 games | LAD vs COL@LAD | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Michael Conforto 10 games | CHC vs CHC@BAL | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 772 | MLB | Michael Massey 10 games | KC vs KCR@NYM | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 773 | MLB | Mickey Moniak 10 games | COL vs COL@LAD | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Mookie Betts 10 games | LAD vs COL@LAD | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Mookie Betts 10 games | LAD vs COL@LAD | RBI | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.8 | 29 | F | 1.0 | WIN | LOSS | |
| 776 | MLB | Nathan Lukes 10 games | TOR vs TOR@SFG | H | 1.5 | +230 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 777 | MLB | Nathan Lukes 10 games | TOR vs TOR@SFG | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Nathan Lukes 10 games | TOR vs TOR@SFG | RBI | 0.5 | +277 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Nathaniel Lowe 10 games | CIN vs PHI@CIN | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 780 | MLB | Nathaniel Lowe 10 games | CIN vs PHI@CIN | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 781 | MLB | Nick Allen 10 games | HOU vs HOU@WSN | HR | 0.5 | +1500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Nicky Lopez 10 games | TEX vs LAA@TEX | HR | 0.5 | +2000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Nico Hoerner 10 games | CHC vs CHC@BAL | H | 1.5 | +220 | 0.8 | -0.7 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Nico Hoerner 10 games | CHC vs CHC@BAL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Nico Hoerner 10 games | CHC vs CHC@BAL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Nolan Schanuel 10 games | LAA vs LAA@TEX | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 787 | MLB | Nolan Schanuel 10 games | LAA vs LAA@TEX | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 788 | MLB | Oswald Peraza 10 games | LAA vs LAA@TEX | RBI | 0.5 | +287 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 789 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@TBR | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@TBR | RBI | 0.5 | +205 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Pedro Pages 10 games | STL vs MIL@STL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Pedro Pages 10 games | STL vs MIL@STL | RBI | 0.5 | +280 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 793 | MLB | Pete Alonso 10 games | BAL vs CHC@BAL | HR | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 794 | MLB | Randal Grichuk 10 games | CWS vs BOS@CHW | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 795 | MLB | Randal Grichuk 10 games | CWS vs BOS@CHW | RBI | 0.5 | +186 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 796 | MLB | Rodolfo Duran 8 games | SD vs ARI@SDP | RBI | 0.5 | +295 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 797 | MLB | Royce Lewis 10 games | MIN vs CLE@MIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | Ryan Kreidler 10 games | MIN vs CLE@MIN | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | Ryan Kreidler 10 games | MIN vs CLE@MIN | RBI | 0.5 | +266 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Sal Frelick 10 games | MIL vs MIL@STL | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 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.