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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 851 | NBA | Jalen Brunson 10 games | NYK vs SAS | AST | 6.50 | +145 | 6.6 | +0.1 | 1/5 | -2 | 30 | F | 5.0 | LOSS | WIN | |
| 852 | MLB | Adolis Garcia 6 games | PHI vs PHI@TOR | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | — | PENDING | PENDING | |
| 853 | MLB | Alika Williams 8 games | ATH vs MIL@Athlet | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | +0.3 | 30 | F | 1.0 | WIN | LOSS | |
| 854 | MLB | Jonathan Aranda 10 games | TB vs BOS@TBR | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 1.0 | WIN | LOSS | |
| 855 | MLB | Marcelo Mayer 10 games | BOS vs BOS@TBR | H | 0.5 | -145 | 0.4 | -0.1 | 2/5 | -0.3 | 30 | F | 1.0 | WIN | LOSS | |
| 856 | MLB | Nick Fortes 10 games | TB vs BOS@TBR | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 1.0 | WIN | LOSS | |
| 857 | MLB | Patrick Wisdom 10 games | SEA vs SEA@BAL | H | 0.5 | -139 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Spencer Steer 10 games | CIN vs CIN@SDP | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | -0.9 | 30 | F | 0.0 | LOSS | WIN | |
| 859 | NBA | Mitchell Robinson 10 games | NYK vs SAS | REB | 5.50 | +115 | 5.2 | -0.3 | 2/5 | +1.5 | 29 | F | 4.0 | LOSS | WIN | |
| 860 | NBA | Victor Wembanyama 10 games | SAS vs NYK | PTS | 27.50 | -105 | 25 | -2.5 | 2/5 | -0.8 | 29 | F | 32.0 | WIN | LOSS | |
| 861 | MLB | Alika Williams 8 games | ATH vs MIL@Athlet | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Andrew Vaughn 10 games | MIL vs MIL@Athlet | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 863 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TBR | H | 1.5 | +320 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Anthony Seigler 2 games | BOS vs BOS@TBR | R | 0.5 | +165 | 0 | -0.5 | 0/2 | +0 | 29 | F | — | PENDING | PENDING | |
| 865 | MLB | Anthony Seigler 2 games | BOS vs BOS@TBR | RBI | 0.5 | +230 | 0 | -0.5 | 0/2 | +0 | 29 | F | — | PENDING | PENDING | |
| 866 | MLB | Ben Rice 10 games | NYY vs NYY@CLE | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 2.0 | WIN | LOSS | |
| 867 | MLB | Ben Rice 10 games | NYY vs NYY@CLE | RBI | 0.5 | +175 | 0.2 | -0.3 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Ben Williamson 10 games | TB vs BOS@TBR | H | 1.5 | +340 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Ben Williamson 10 games | TB vs BOS@TBR | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Ben Williamson 10 games | TB vs BOS@TBR | TB | 1.5 | +200 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Blake Dunn 10 games | CIN vs CIN@SDP | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Blake Perkins 10 games | MIL vs MIL@Athlet | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | Brayan Rocchio 10 games | CLE vs NYY@CLE | H | 1.5 | +400 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 874 | MLB | Brent Rooker 10 games | ATH vs MIL@Athlet | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 875 | MLB | Bryce Eldridge 10 games | SF vs WSN@SFG | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 876 | MLB | Bryce Harper 10 games | PHI vs PHI@TOR | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Bryce Johnson 10 games | SD vs CIN@SDP | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 878 | MLB | Bryce Johnson 10 games | SD vs CIN@SDP | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 879 | MLB | Bryson Stott 10 games | PHI vs PHI@TOR | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Caleb Durbin 10 games | BOS vs BOS@TBR | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Caleb Durbin 10 games | BOS vs BOS@TBR | R | 1.5 | +1300 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Caleb Durbin 10 games | BOS vs BOS@TBR | RBI | 0.5 | +236 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | R | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 886 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@TBR | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Cedric Mullins 10 games | TB vs BOS@TBR | R | 1.5 | +1500 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Chandler Simpson 10 games | TB vs BOS@TBR | HR | 0.5 | +1600 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 889 | MLB | Chandler Simpson 10 games | TB vs BOS@TBR | R | 0.5 | +195 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 890 | MLB | Chandler Simpson 10 games | TB vs BOS@TBR | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 891 | MLB | Charles McAdoo 3 games | TOR vs PHI@TOR | H | 1.5 | +475 | 1 | -0.5 | 0/3 | +0 | 29 | F | — | PENDING | PENDING | |
| 892 | MLB | Charles McAdoo 3 games | TOR vs PHI@TOR | R | 1.5 | +2000 | 0.7 | -0.8 | 0/3 | +0 | 29 | F | — | PENDING | PENDING | |
| 893 | MLB | Chase DeLauter 10 games | CLE vs NYY@CLE | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Christian Walker 10 games | HOU vs HOU@LAA | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Christian Walker 10 games | HOU vs HOU@LAA | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Christian Yelich 10 games | MIL vs MIL@Athlet | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Christian Yelich 10 games | MIL vs MIL@Athlet | RBI | 1.5 | +450 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 898 | MLB | Coby Mayo 10 games | BAL vs SEA@BAL | H | 1.5 | +450 | 0.8 | -0.7 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Cole Young 10 games | SEA vs SEA@BAL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | Colton Cowser 10 games | BAL vs SEA@BAL | R | 1.5 | +1300 | 0.6 | -0.9 | 0/5 | +0.1 | 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.