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 | MLB | Royce Lewis 10 games | MIN vs NYY@MIN | H | 0.5 | -141 | 0.4 | -0.1 | 2/5 | +0.1 | 30 | F | 1.0 | WIN | LOSS | |
| 852 | MLB | Tommy White 10 games | OAK vs ATHLETICS@ | H | 0.5 | -141 | 0.4 | -0.1 | 2/5 | +-0 | 30 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Adael Amador 10 games | COL vs SDP@COL | H | 1.5 | +300 | 1 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 854 | MLB | Alec Bohm 10 games | PHI vs PHI@WSN | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Alec Bohm 10 games | PHI vs PHI@WSN | RBI | 1.5 | +475 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 856 | MLB | Alec Burleson 10 games | STL vs SFG@STL | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 857 | MLB | Alex Bregman 10 games | CHC vs ATL@CHC | RBI | 1.5 | +500 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Alex Freeland 10 games | LAD vs LAD@CIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 859 | MLB | Alika Williams 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +360 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Andrés Chaparro 10 games | WSH vs PHI@WSN | H | 1.5 | +360 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 861 | MLB | Andres Gimenez 10 games | TOR vs DET@TOR | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Andres Gimenez 10 games | TOR vs DET@TOR | RBI | 1.5 | +700 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Angel Genao 10 games | CLE vs CHW@CLE | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Anthony Volpe 10 games | NYY vs NYY@MIN | RBI | 1.5 | +800 | 1 | -0.5 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Austin Martin 10 games | MIN vs NYY@MIN | HR | 0.5 | +1500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Austin Martin 10 games | MIN vs NYY@MIN | RBI | 0.5 | +342 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Austin Riley 10 games | ATL vs ATL@CHC | H | 1.5 | +380 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | B.J. Murray Jr. 7 games | vs ATL@CHC | RBI | 0.5 | +284 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Bo Bichette 10 games | NYM vs BAL@NYM | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Bo Bichette 10 games | NYM vs BAL@NYM | RBI | 0.5 | +207 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 1.0 | WIN | LOSS | |
| 871 | MLB | Braden Montgomery 10 games | CWS vs CHW@CLE | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Braden Montgomery 10 games | CWS vs CHW@CLE | RBI | 0.5 | +282 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | Brady House 10 games | WSH vs PHI@WSN | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 874 | MLB | Brandon Lowe 10 games | PIT vs MIL@PIT | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 875 | MLB | Brandon Lowe 10 games | PIT vs MIL@PIT | RBI | 1.5 | +900 | 0.4 | -1.1 | 1/5 | +0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 876 | MLB | Brandon Nimmo 10 games | TEX vs BOS@TEX | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Brayan Rocchio 10 games | CLE vs CHW@CLE | H | 1.5 | +340 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 878 | MLB | Brayan Rocchio 10 games | CLE vs CHW@CLE | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Brenton Doyle 10 games | CWS vs CHW@CLE | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Brenton Doyle 10 games | CWS vs CHW@CLE | RBI | 0.5 | +280 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Brett Bateman 10 games | TOR vs DET@TOR | H | 1.5 | +230 | 1.2 | -0.3 | 1/5 | -0.5 | 29 | F | 2.0 | WIN | LOSS | |
| 882 | MLB | Brett Baty 10 games | NYM vs BAL@NYM | H | 1.5 | +450 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 1.0 | LOSS | WIN | |
| 883 | MLB | Brett Baty 10 games | NYM vs BAL@NYM | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Brock Rodden 10 games | SEA vs SEA@LAA | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Brock Rodden 10 games | SEA vs SEA@LAA | RBI | 0.5 | +298 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Brooks Lee 10 games | MIN vs NYY@MIN | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Brooks Lee 10 games | MIN vs NYY@MIN | RBI | 0.5 | +262 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Bryan Torres 10 games | STL vs SFG@STL | H | 1.5 | +260 | 0.8 | -0.7 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 889 | MLB | Bryan Torres 10 games | STL vs SFG@STL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Bryce Eldridge 10 games | SF vs SFG@STL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 891 | MLB | Bryce Eldridge 10 games | SF vs SFG@STL | RBI | 1.5 | +700 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 3.0 | WIN | LOSS | |
| 892 | MLB | Bryson Stott 10 games | PHI vs PHI@WSN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Cal Raleigh 10 games | SEA vs SEA@LAA | H | 1.5 | +300 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Caleb Durbin 10 games | BOS vs BOS@TEX | H | 1.5 | +320 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 895 | MLB | Carlos Cortes 9 games | OAK vs ATHLETICS@ | H | 1.5 | +450 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Carlos Jorge 7 games | CIN vs LAD@CIN | H | 1.5 | +450 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Carlos Jorge 7 games | CIN vs LAD@CIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 898 | MLB | Carlos Jorge 7 games | CIN vs LAD@CIN | RBI | 0.5 | +352 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Carlos Narvaez 10 games | BAL vs BAL@NYM | H | 1.5 | +475 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | Carlos Narvaez 10 games | BAL vs BAL@NYM | HR | 0.5 | +800 | 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.