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 | Alex Bregman 10 games | CHC vs CHC@STL | H | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 852 | MLB | Alex Bregman 10 games | CHC vs CHC@STL | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Alex Bregman 10 games | CHC vs CHC@STL | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 2.0 | WIN | LOSS | |
| 854 | MLB | Alex Bregman 10 games | CHC vs CHC@STL | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Alika Williams 10 games | ATH vs BOS@Athlet | RBI | 0.5 | +298 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 856 | MLB | Andrew Benintendi 10 games | CWS vs NYY@CHW | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Andrew Benintendi 10 games | CWS vs NYY@CHW | TB | 1.5 | +165 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 858 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SFG | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SFG | RBI | 0.5 | +208 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Andrew Velazquez 4 games | KC vs KCR@MIN | H | 0.5 | +130 | 0.3 | -0.3 | 1/4 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 861 | MLB | Andruw Monasterio 10 games | BOS vs BOS@Athlet | R | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Andruw Monasterio 10 games | BOS vs BOS@Athlet | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Andy Pages 10 games | LAD vs SEA@LAD | RBI | 0.5 | +188 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Andy Pages 10 games | LAD vs SEA@LAD | TB | 1.5 | +121 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 865 | MLB | Anthony Seigler 10 games | BOS vs BOS@Athlet | R | 0.5 | +105 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Anthony Seigler 10 games | BOS vs BOS@Athlet | RBI | 0.5 | +200 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Anthony Volpe 10 games | NYY vs NYY@CHW | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 868 | MLB | Austin Wells 10 games | NYY vs NYY@CHW | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Austin Wells 10 games | NYY vs NYY@CHW | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Ben Rice 10 games | NYY vs NYY@CHW | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Ben Williamson 10 games | TB vs TEX@TBR | R | 0.5 | +175 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Ben Williamson 10 games | TB vs TEX@TBR | TB | 1.5 | +155 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 873 | MLB | Bo Bichette 10 games | NYM vs ATL@NYM | R | 0.5 | +170 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 874 | MLB | Braden Montgomery 10 games | CWS vs NYY@CHW | H | 1.5 | +340 | 1.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 875 | MLB | Brandon Lowe 10 games | PIT vs ARI@PIT | R | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 876 | MLB | Brandon Lowe 10 games | PIT vs ARI@PIT | RBI | 0.5 | +156 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 877 | MLB | Brayan Rocchio 10 games | CLE vs CLE@CIN | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Brice Turang 10 games | MIL vs MIL@SFG | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Brice Turang 10 games | MIL vs MIL@SFG | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 880 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 881 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 883 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 885 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | RBI | 0.5 | +165 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 886 | MLB | Bryce Eldridge 10 games | SF vs MIL@SFG | R | 0.5 | +145 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 887 | MLB | Bryce Harper 10 games | PHI vs PHI@MIA | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Bryce Harper 10 games | PHI vs PHI@MIA | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 889 | MLB | Bryson Stott 10 games | PHI vs PHI@MIA | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Bryson Stott 10 games | PHI vs PHI@MIA | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Caleb Durbin 10 games | BOS vs BOS@Athlet | H | 1.5 | +190 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 892 | MLB | Caleb Durbin 10 games | BOS vs BOS@Athlet | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | RBI | 0.5 | +213 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Carson Benge 10 games | NYM vs ATL@NYM | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 896 | MLB | Carson Benge 10 games | NYM vs ATL@NYM | RBI | 0.5 | +325 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 897 | MLB | Carson Benge 10 games | NYM vs ATL@NYM | TB | 1.5 | +230 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 898 | MLB | Carson Kelly 10 games | CHC vs CHC@STL | H | 1.5 | +280 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 899 | MLB | Carson Kelly 10 games | CHC vs CHC@STL | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 900 | MLB | Carson Kelly 10 games | CHC vs CHC@STL | TB | 1.5 | +170 | 0.6 | -0.9 | 1/5 | -0.2 | 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.