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 | Yoshinobu Yamamoto 8 games | LAD vs LAD@NYM | K | 7.5 | +200 | 6.6 | -0.9 | 1/5 | +0.9 | 35 | F | 5.0 | LOSS | WIN | |
| 852 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | H | 1.5 | +360 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 853 | MLB | Alex Bregman 10 games | CHC vs CHC@PIT | H | 1.5 | +280 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Brandon Lowe 10 games | PIT vs CHC@PIT | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | — | PENDING | PENDING | |
| 855 | MLB | Brice Turang 10 games | MIL vs COL@MIL | RBI | 0.5 | +168 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 856 | MLB | Bryan Woo 8 games | SEA vs SEA@TEX | K | 6.5 | +125 | 6 | -0.5 | 2/5 | -0.6 | 34 | F | 5.0 | LOSS | WIN | |
| 857 | MLB | Bryce Eldridge 10 games | SF vs LAA@SFG | TB | 1.5 | +130 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 858 | MLB | Bryce Harper 10 games | PHI vs NYY@PHI | TB | 1.5 | +133 | 1.2 | -0.3 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Carter Jensen 10 games | KC vs KCR@DET | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | -0.9 | 34 | F | 2.0 | WIN | LOSS | |
| 860 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | RBI | 0.5 | +195 | 0.6 | +0.1 | 1/5 | -0.7 | 34 | F | — | PENDING | PENDING | |
| 861 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | +0.1 | 34 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Ernie Clement 10 games | TOR vs TOR@BOS | H | 1.5 | +173 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 3.0 | WIN | LOSS | |
| 863 | MLB | Ernie Clement 10 games | TOR vs TOR@BOS | TB | 1.5 | +115 | 1 | -0.5 | 2/5 | -0.9 | 34 | F | 4.0 | WIN | LOSS | |
| 864 | MLB | Ezequiel Tovar 10 games | COL vs COL@MIL | H | 0.5 | -116 | 0.4 | -0.1 | 2/5 | +0 | 34 | F | 1.0 | WIN | LOSS | |
| 865 | MLB | Foster Griffin 10 games | WSH vs ARI@WSN | K | 5.5 | +175 | 4.8 | -0.7 | 2/5 | -1 | 34 | F | 2.0 | LOSS | WIN | |
| 866 | MLB | Gavin Sheets 10 games | SD vs SDP@MIA | H | 0.5 | -118 | 0.4 | -0.1 | 2/5 | +0.4 | 34 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | TB | 1.5 | +152 | 0.8 | -0.7 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Harry Ford 4 games | WSH vs ARI@WSN | R | 0.5 | +165 | 0.8 | +0.3 | 1/4 | -0.8 | 34 | F | — | PENDING | PENDING | |
| 869 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | H | 1.5 | +130 | 1.2 | -0.3 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Josh Bell 10 games | MIN vs Athletics@ | TB | 1.5 | +110 | 1.2 | -0.3 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Luis Campusano 10 games | SD vs SDP@MIA | H | 0.5 | -116 | 0.4 | -0.1 | 2/5 | -0.2 | 34 | F | — | PENDING | PENDING | |
| 873 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.4 | 34 | F | 0.0 | LOSS | WIN | |
| 874 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.2 | 34 | F | 1.0 | WIN | LOSS | |
| 875 | MLB | Miguel Vargas 10 games | CWS vs HOU@CHW | TB | 1.5 | +135 | 1.4 | -0.1 | 2/5 | -1 | 34 | F | 1.0 | LOSS | WIN | |
| 876 | MLB | Nico Hoerner 10 games | CHC vs CHC@PIT | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | -0.5 | 34 | F | 1.0 | LOSS | WIN | |
| 877 | MLB | Richie Palacios 10 games | TB vs CLE@TBR | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 1.0 | WIN | LOSS | |
| 878 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | TB | 1.5 | +145 | 0.8 | -0.7 | 2/5 | -0.8 | 34 | F | 1.0 | LOSS | WIN | |
| 879 | MLB | Sung-Mun Song 10 games | SD vs SDP@MIA | H | 0.5 | -114 | 0.6 | +0.1 | 1/5 | -0.5 | 34 | F | — | PENDING | PENDING | |
| 880 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | TB | 1.5 | +190 | 1.4 | -0.1 | 2/5 | -0.8 | 34 | F | 3.0 | WIN | LOSS | |
| 881 | MLB | Ty France 10 games | SD vs SDP@MIA | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 882 | MLB | Willy Adames 10 games | SF vs LAA@SFG | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | -1 | 34 | F | 2.0 | WIN | LOSS | |
| 883 | MLB | Curtis Mead 10 games | WSH vs ARI@WSN | H | 0.5 | -250 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Edmundo Sosa 10 games | PHI vs NYY@PHI | H | 0.5 | -185 | 0.6 | +0.1 | 2/5 | -0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | H | 0.5 | -214 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Ivan Herrera 10 games | STL vs CIN@STL | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | 2.0 | WIN | LOSS | |
| 887 | MLB | J.P. Crawford 10 games | SEA vs SEA@TEX | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | -0.5 | 33 | F | 2.0 | WIN | LOSS | |
| 888 | MLB | Jackson Merrill 10 games | SD vs SDP@MIA | H | 0.5 | -155 | 0.8 | +0.3 | 2/5 | -0.3 | 33 | F | 3.0 | WIN | LOSS | |
| 889 | MLB | JJ Wetherholt 10 games | STL vs CIN@STL | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Liam Hicks 10 games | MIA vs SDP@MIA | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | -0.5 | 33 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | H | 0.5 | -180 | 0.8 | +0.3 | 2/5 | +0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 892 | MLB | Sam Antonacci 10 games | CWS vs HOU@CHW | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | -0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | William Contreras 10 games | MIL vs COL@MIL | H | 0.5 | -250 | 0.6 | +0.1 | 2/5 | +0.3 | 33 | F | 1.0 | WIN | LOSS | |
| 894 | MLB | Wilyer Abreu 10 games | BOS vs TOR@BOS | H | 0.5 | -180 | 0.8 | +0.3 | 2/5 | -0.3 | 33 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Xavier Edwards 10 games | MIA vs SDP@MIA | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Alec Burleson 10 games | STL vs CIN@STL | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 897 | MLB | Alejandro Kirk 10 games | TOR vs TOR@BOS | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 898 | MLB | Alex Bregman 10 games | CHC vs CHC@PIT | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Alika Williams 10 games | ATH vs Athletics@ | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 900 | MLB | Alika Williams 10 games | ATH vs Athletics@ | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING |
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.