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 | Jonathan Aranda 10 games | TB vs TBR@TOR | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Jonathan Aranda 10 games | TB vs TBR@TOR | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Jorge Polanco 7 games | NYM vs NYM@MIL | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 854 | MLB | Jorge Soler 10 games | LAA vs STL@LAA | RBI | 0.5 | +164 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 855 | MLB | Jose Caballero 10 games | NYY vs PIT@NYY | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 856 | MLB | Jose Siri 10 games | LAA vs STL@LAA | RBI | 0.5 | +237 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Jose Siri 10 games | LAA vs STL@LAA | TB | 1.5 | +195 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 858 | MLB | Josh Bell 10 games | MIN vs MIN@CLE | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 859 | MLB | Josh Bell 10 games | MIN vs MIN@CLE | TB | 1.5 | +150 | 1.2 | -0.3 | 1/5 | +0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 860 | MLB | Josh Jung 10 games | TEX vs CHW@TEX | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 861 | MLB | Josh Jung 10 games | TEX vs CHW@TEX | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Josh Kuroda-Grauer 10 games | vs Athletics@ | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 863 | MLB | Josh Naylor 10 games | SEA vs CIN@SEA | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Josh Naylor 10 games | SEA vs CIN@SEA | TB | 1.5 | +170 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 865 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | R | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | TB | 1.5 | +115 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Julio Rodriguez 5 games | SEA vs CIN@SEA | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Jung Hoo Lee 10 games | SF vs SFG@KCR | H | 1.5 | +190 | 1 | -0.5 | 1/5 | +-0 | 32 | F | 1.0 | LOSS | WIN | |
| 870 | MLB | Jung Hoo Lee 10 games | SF vs SFG@KCR | TB | 1.5 | +115 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 871 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | HR | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Kahlil Watson 10 games | CLE vs MIN@CLE | R | 0.5 | +175 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 873 | MLB | Ke'Bryan Hayes 4 games | CIN vs CIN@SEA | R | 0.5 | +200 | 0.3 | -0.3 | 1/4 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 874 | MLB | Keibert Ruiz 10 games | WSH vs WSN@COL | H | 1.5 | +160 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 875 | MLB | Keibert Ruiz 10 games | WSH vs WSN@COL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 876 | MLB | Ketel Marte 10 games | AZ vs Athletics@ | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Kevin McGonigle 10 games | DET vs DET@CHC | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Kevin McGonigle 10 games | DET vs DET@CHC | RBI | 0.5 | +223 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Kyle Higashioka 9 games | TEX vs CHW@TEX | H | 0.5 | -132 | 0.4 | -0.1 | 2/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 880 | MLB | Kyle Karros 10 games | COL vs WSN@COL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Kyle Karros 10 games | COL vs WSN@COL | RBI | 0.5 | +143 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 882 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Kyle Manzardo 10 games | CLE vs MIN@CLE | TB | 1.5 | +180 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Kyle Schwarber 10 games | PHI vs LAD@PHI | HR | 0.5 | +220 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Kyle Schwarber 10 games | PHI vs LAD@PHI | RBI | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Kyle Tucker 10 games | LAD vs LAD@PHI | TB | 1.5 | +175 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 888 | MLB | Liam Hicks 10 games | MIA vs MIA@HOU | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 889 | MLB | Liam Hicks 10 games | MIA vs MIA@HOU | RBI | 0.5 | +260 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Lucas Spence 4 games | HOU vs MIA@HOU | TB | 1.5 | +185 | 0.8 | -0.8 | 1/4 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 891 | MLB | Luis Arraez 10 games | SF vs SFG@KCR | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 892 | MLB | Luis Campusano 10 games | SD vs SDP@ATL | RBI | 0.5 | +206 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Luke Keaschall 10 games | MIN vs MIN@CLE | RBI | 0.5 | +297 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | RBI | 0.5 | +233 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | TB | 1.5 | +195 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Manny Machado 10 games | SD vs SDP@ATL | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 898 | MLB | Masataka Yoshida 10 games | BOS vs BAL@BOS | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 899 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | RBI | 0.5 | +140 | 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.