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 | CJ Abrams 10 games | WSH vs WSN@ARI | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 852 | MLB | CJ Abrams 10 games | WSH vs WSN@ARI | RBI | 0.5 | +187 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 853 | MLB | CJ Abrams 10 games | WSH vs WSN@ARI | TB | 1.5 | +140 | 1.4 | -0.1 | 1/5 | +0.2 | 32 | F | 4.0 | WIN | LOSS | |
| 854 | MLB | Coby Mayo 10 games | BAL vs BAL@TOR | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 855 | MLB | Cody Bellinger 10 games | NYY vs BOS@NYY | R | 0.5 | +108 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 856 | MLB | Cole Young 10 games | SEA vs SEA@DET | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 857 | MLB | Cole Young 10 games | SEA vs SEA@DET | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Cole Young 10 games | SEA vs SEA@DET | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 859 | MLB | Cole Young 10 games | SEA vs SEA@DET | TB | 1.5 | +165 | 1.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 860 | MLB | Colson Montgomery 10 games | CWS vs CHW@PHI | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Colson Montgomery 10 games | CWS vs CHW@PHI | R | 0.5 | +115 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 862 | MLB | Colson Montgomery 10 games | CWS vs CHW@PHI | TB | 1.5 | +130 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 863 | MLB | Colt Emerson 10 games | SEA vs SEA@DET | H | 1.5 | +360 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 864 | MLB | Colt Keith 10 games | DET vs SEA@DET | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Colt Keith 10 games | DET vs SEA@DET | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Colt Keith 10 games | DET vs SEA@DET | TB | 1.5 | +195 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Colton Cowser 10 games | BAL vs BAL@TOR | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 868 | MLB | Colton Cowser 10 games | BAL vs BAL@TOR | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 869 | MLB | Connor Norby 10 games | MIA vs TBR@MIA | H | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 870 | MLB | Connor Norby 10 games | MIA vs TBR@MIA | RBI | 0.5 | +244 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 871 | MLB | Connor Norby 10 games | MIA vs TBR@MIA | TB | 1.5 | +200 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 872 | MLB | Corey Seager 10 games | TEX vs CLE@TEX | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 873 | MLB | Corey Seager 10 games | TEX vs CLE@TEX | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 874 | MLB | Corey Seager 10 games | TEX vs CLE@TEX | RBI | 0.5 | +185 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 875 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 876 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Daniel Schneemann 10 games | CLE vs CLE@TEX | H | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Daniel Schneemann 10 games | CLE vs CLE@TEX | R | 0.5 | +210 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Daniel Schneemann 10 games | CLE vs CLE@TEX | RBI | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Daniel Schneemann 10 games | CLE vs CLE@TEX | TB | 1.5 | +220 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Daniel Susac 10 games | SF vs SFG@CHC | R | 0.5 | +200 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Dansby Swanson 10 games | CHC vs SFG@CHC | H | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 884 | MLB | Dansby Swanson 10 games | CHC vs SFG@CHC | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 885 | MLB | Darell Hernaiz 10 games | ATH vs Athletics@ | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 886 | MLB | Daulton Varsho 10 games | TOR vs BAL@TOR | RBI | 0.5 | +172 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 887 | MLB | Daylen Lile 10 games | WSH vs WSN@ARI | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Daylen Lile 10 games | WSH vs WSN@ARI | RBI | 0.5 | +204 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 889 | MLB | Dillon Dingler 10 games | DET vs SEA@DET | R | 1.5 | +1000 | 1.2 | -0.3 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Dominic Canzone 10 games | SEA vs SEA@DET | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Dominic Canzone 10 games | SEA vs SEA@DET | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Dominic Canzone 10 games | SEA vs SEA@DET | RBI | 0.5 | +200 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Dominic Smith 10 games | ATL vs PIT@ATL | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Drew Gilbert 10 games | SF vs SFG@CHC | TB | 1.5 | +220 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Drew Millas 10 games | WSH vs WSN@ARI | RBI | 0.5 | +292 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 896 | MLB | Drew Romo 10 games | CWS vs CHW@PHI | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Dylan Crews 10 games | WSH vs WSN@ARI | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 898 | MLB | Dylan Crews 10 games | WSH vs WSN@ARI | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Dylan Crews 10 games | WSH vs WSN@ARI | TB | 1.5 | +180 | 1.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | Edwin Arroyo 4 games | CIN vs CIN@STL | R | 0.5 | +160 | 0.3 | -0.3 | 1/4 | -0.3 | 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.