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 | Lucas Spence 8 games | HOU vs HOU@LAA | H | 0.5 | -125 | 0.4 | -0.1 | 2/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Lucas Spence 8 games | HOU vs HOU@LAA | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 853 | MLB | Lucas Spence 8 games | HOU vs HOU@LAA | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 854 | MLB | Lucas Spence 8 games | HOU vs HOU@LAA | TB | 1.5 | +220 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Luis Arraez 10 games | SF vs MIL@SFG | R | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 856 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | RBI | 0.5 | +218 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Masataka Yoshida 10 games | BOS vs BOS@Athlet | R | 0.5 | +100 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Masyn Winn 10 games | STL vs CHC@STL | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 861 | MLB | Masyn Winn 10 games | STL vs CHC@STL | TB | 1.5 | +140 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 862 | MLB | Matt Olson 10 games | ATL vs ATL@NYM | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Michael Harris II 10 games | ATL vs ATL@NYM | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Michael Harris II 10 games | ATL vs ATL@NYM | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Miguel Vargas 10 games | CWS vs NYY@CHW | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Miguel Vargas 10 games | CWS vs NYY@CHW | RBI | 0.5 | +176 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Mike Trout 10 games | LAA vs HOU@LAA | RBI | 0.5 | +187 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Munetaka Murakami 10 games | CWS vs NYY@CHW | HR | 0.5 | +375 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Myles Straw 10 games | TOR vs TOR@WSN | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 870 | MLB | Nick Kurtz 10 games | ATH vs BOS@Athlet | HR | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Nick Kurtz 10 games | ATH vs BOS@Athlet | TB | 1.5 | +120 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | H | 1.5 | +340 | 1 | -0.5 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 873 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | R | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 874 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | TB | 1.5 | +230 | 1 | -0.5 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 875 | MLB | Nico Hoerner 10 games | CHC vs CHC@STL | H | 1.5 | +200 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 4.0 | WIN | LOSS | |
| 876 | MLB | Nico Hoerner 10 games | CHC vs CHC@STL | RBI | 0.5 | +185 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 4.0 | WIN | LOSS | |
| 877 | MLB | Nico Hoerner 10 games | CHC vs CHC@STL | TB | 1.5 | +134 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 7.0 | WIN | LOSS | |
| 878 | MLB | Nolan Arenado 10 games | AZ vs ARI@PIT | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Nolan Arenado 10 games | AZ vs ARI@PIT | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 881 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | RBI | 0.5 | +216 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 882 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | TB | 1.5 | +150 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 883 | MLB | Otto Lopez 10 games | MIA vs PHI@MIA | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 884 | MLB | Otto Lopez 10 games | MIA vs PHI@MIA | RBI | 0.5 | +303 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 885 | MLB | Ozzie Albies 10 games | ATL vs ATL@NYM | H | 1.5 | +220 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 886 | MLB | Patrick Bailey 10 games | CLE vs CLE@CIN | H | 1.5 | +450 | 1.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 887 | MLB | Patrick Bailey 10 games | CLE vs CLE@CIN | R | 1.5 | +1500 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 888 | MLB | Patrick Bailey 10 games | CLE vs CLE@CIN | RBI | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +-0 | 32 | F | — | PENDING | PENDING | |
| 889 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | H | 1.5 | +182 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 890 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | RBI | 0.5 | +170 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Pete Alonso 10 games | BAL vs BAL@DET | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Pete Alonso 10 games | BAL vs BAL@DET | RBI | 0.5 | +170 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Petey Halpin 10 games | CLE vs CLE@CIN | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 895 | MLB | Randal Grichuk 10 games | CWS vs NYY@CHW | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 896 | MLB | Randal Grichuk 10 games | CWS vs NYY@CHW | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Randal Grichuk 10 games | CWS vs NYY@CHW | TB | 1.5 | +138 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 898 | MLB | Randy Arozarena 10 games | SEA vs SEA@TEX | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 899 | MLB | Randy Arozarena 10 games | SEA vs SEA@TEX | RBI | 0.5 | +202 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 900 | MLB | Riley Greene 10 games | DET vs BAL@DET | H | 1.5 | +260 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | 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.