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 | Mookie Betts 10 games | LAD vs LAD@ARI | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Mookie Betts 10 games | LAD vs LAD@ARI | TB | 1.5 | +110 | 1.2 | -0.3 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Myles Straw 10 games | TOR vs TOR@ATL | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Myles Straw 10 games | TOR vs TOR@ATL | R | 0.5 | +320 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 855 | MLB | Myles Straw 10 games | TOR vs TOR@ATL | RBI | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 3.0 | WIN | LOSS | |
| 856 | MLB | Nico Hoerner 10 games | CHC vs Athletics@ | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Paul Goldschmidt 10 games | NYY vs CLE@NYY | R | 1.5 | +900 | 0.8 | -0.7 | 0/5 | +0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 858 | MLB | Rafael Devers 10 games | SF vs SFG@MIL | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -1 | 29 | F | 1.0 | LOSS | WIN | |
| 859 | MLB | Rafael Devers 10 games | SF vs SFG@MIL | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Rafael Devers 10 games | SF vs SFG@MIL | R | 1.5 | +600 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 861 | MLB | Rafael Devers 10 games | SF vs SFG@MIL | RBI | 0.5 | +212 | 0.2 | -0.3 | 1/5 | -1 | 29 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Rhys Hoskins 10 games | CLE vs CLE@NYY | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Ryan McMahon 10 games | NYY vs CLE@NYY | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 864 | MLB | Ryan Waldschmidt 10 games | AZ vs LAD@ARI | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Ryan Waldschmidt 10 games | AZ vs LAD@ARI | R | 0.5 | +155 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Ryan Waldschmidt 10 games | AZ vs LAD@ARI | RBI | 0.5 | +209 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Ryan Waldschmidt 10 games | AZ vs LAD@ARI | TB | 1.5 | +149 | 0.8 | -0.7 | 1/5 | -0.5 | 29 | F | 3.0 | WIN | LOSS | |
| 868 | MLB | Sal Frelick 10 games | MIL vs SFG@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | RBI | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 871 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | TB | 1.5 | +120 | 0.8 | -0.7 | 1/5 | -0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 872 | MLB | Sandy León 10 games | ATL vs TOR@ATL | H | 0.5 | +125 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | Sandy León 10 games | ATL vs TOR@ATL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 874 | MLB | Sandy León 10 games | ATL vs TOR@ATL | R | 0.5 | +230 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 875 | MLB | Sandy León 10 games | ATL vs TOR@ATL | RBI | 0.5 | +322 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 876 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | H | 1.5 | +196 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 877 | MLB | Shota Imanaga 10 games | CHC vs Athletics@ | K | 5.5 | -165 | 5.2 | -0.3 | 3/5 | -2.5 | 29 | F | 5.0 | LOSS | WIN | |
| 878 | MLB | Steven Kwan 10 games | CLE vs CLE@NYY | HR | 0.5 | +1750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Steven Kwan 10 games | CLE vs CLE@NYY | RBI | 0.5 | +309 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Sung-Mun Song 10 games | SD vs SDP@PHI | R | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 881 | MLB | Sung-Mun Song 10 games | SD vs SDP@PHI | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 882 | MLB | Taylor Trammell 10 games | HOU vs PIT@HOU | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | R | 1.5 | +450 | 0.8 | -0.7 | 0/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 885 | MLB | Travis Bazzana 10 games | CLE vs CLE@NYY | H | 1.5 | +320 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Travis Bazzana 10 games | CLE vs CLE@NYY | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Trea Turner 10 games | PHI vs SDP@PHI | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Trea Turner 10 games | PHI vs SDP@PHI | RBI | 0.5 | +191 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 889 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 890 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | R | 1.5 | +475 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | RBI | 1.5 | +550 | 0.4 | -1.1 | 1/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | TB | 1.5 | +125 | 0.8 | -0.7 | 1/5 | -1.1 | 29 | F | 3.0 | WIN | LOSS | |
| 894 | MLB | Trevor Larnach 10 games | MIN vs KCR@MIN | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Victor Caratini 10 games | MIN vs KCR@MIN | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 896 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@ATL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Will Smith 10 games | LAD vs LAD@ARI | H | 1.5 | +196 | 0.8 | -0.7 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 898 | MLB | William Contreras 10 games | MIL vs SFG@MIL | H | 1.5 | +195 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | William Contreras 10 games | MIL vs SFG@MIL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | William Contreras 10 games | MIL vs SFG@MIL | TB | 1.5 | +114 | 0.8 | -0.7 | 1/5 | -0.8 | 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.