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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Jake Bennett 7 games | BOS vs BAL@BOS | K | 4.5 | -190 | 5 | +0.5 | 2/5 | -0.5 | 36 | F | 4.0 | LOSS | WIN | |
| 803 | MLB | Jo Adell 10 games | LAA vs STL@LAA | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Juan Soto 10 games | NYM vs NYM@MIL | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0.3 | 36 | F | — | PENDING | PENDING | |
| 805 | MLB | Max Muncy 10 games | ATH vs LAD@PHI | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0.1 | 36 | F | 1.0 | WIN | LOSS | |
| 806 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +-0 | 36 | F | 1.0 | WIN | LOSS | |
| 807 | MLB | Andrew Vaughn 10 games | MIL vs NYM@MIL | H | 1.5 | +380 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 808 | MLB | Andrew Vaughn 10 games | MIL vs NYM@MIL | TB | 1.5 | +180 | 1.4 | -0.1 | 1/5 | +1.4 | 35 | F | 1.0 | LOSS | WIN | |
| 809 | MLB | Bailey Ober 4 games | MIN vs MIN@CLE | K | 5.5 | +280 | 4.5 | -1 | 1/4 | +0.5 | 35 | F | 2.0 | LOSS | WIN | |
| 810 | MLB | Blaze Jordan 10 games | STL vs STL@LAA | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Brandon Marsh 10 games | PHI vs LAD@PHI | TB | 1.5 | +160 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 1.0 | LOSS | WIN | |
| 812 | MLB | Brooks Lee 10 games | MIN vs MIN@CLE | TB | 1.5 | +170 | 1.4 | -0.1 | 1/5 | +0.6 | 35 | F | 5.0 | WIN | LOSS | |
| 813 | MLB | Cal Raleigh 10 games | SEA vs CIN@SEA | RBI | 1.5 | +380 | 1 | -0.5 | 1/5 | +1.2 | 35 | F | 1.0 | LOSS | WIN | |
| 814 | MLB | Cal Raleigh 10 games | SEA vs CIN@SEA | TB | 1.5 | +125 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 815 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | CJ Abrams 10 games | WSH vs WSN@COL | R | 1.5 | +380 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 817 | MLB | Cole Carrigg 10 games | COL vs WSN@COL | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 818 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | R | 1.5 | +1500 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 819 | MLB | Daniel Susac 10 games | SF vs SFG@KCR | TB | 1.5 | +185 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Emerson Hancock 8 games | SEA vs CIN@SEA | K | 4.5 | -325 | 4.2 | -0.3 | 3/5 | +0.1 | 35 | F | 3.0 | LOSS | WIN | |
| 821 | MLB | Francisco Lindor 10 games | NYM vs NYM@MIL | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Geraldo Perdomo 10 games | AZ vs Athletics@ | H | 1.5 | +220 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Hunter Goodman 10 games | COL vs WSN@COL | RBI | 1.5 | +380 | 1.2 | -0.3 | 1/5 | +1.4 | 35 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | H | 1.5 | +220 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | TB | 1.5 | +125 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | TB | 1.5 | +195 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Jase Bowen 10 games | SD vs SDP@ATL | TB | 1.5 | +195 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Jazz Chisholm Jr. 10 games | NYY vs PIT@NYY | RBI | 1.5 | +400 | 1.4 | -0.1 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Joey Ortiz 10 games | MIL vs NYM@MIL | RBI | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 830 | MLB | Jose Caballero 10 games | NYY vs PIT@NYY | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.2 | 35 | F | 0.0 | LOSS | WIN | |
| 831 | MLB | Ketel Marte 10 games | AZ vs Athletics@ | RBI | 1.5 | +500 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Ketel Marte 10 games | AZ vs Athletics@ | TB | 2.5 | +180 | 1.6 | -0.9 | 1/5 | +0.7 | 35 | F | 3.0 | WIN | LOSS | |
| 833 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | H | 1.5 | +300 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | Luke Raley 10 games | SEA vs CIN@SEA | TB | 1.5 | +170 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 835 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | R | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | TB | 2.5 | +150 | 1.6 | -0.9 | 1/5 | +1.4 | 35 | F | 1.0 | LOSS | WIN | |
| 837 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | H | 1.5 | +230 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 839 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Patrick Bailey 10 games | CLE vs MIN@CLE | H | 1.5 | +400 | 1.4 | -0.1 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 841 | MLB | Petey Halpin 10 games | CLE vs MIN@CLE | H | 1.5 | +475 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 842 | MLB | Petey Halpin 10 games | CLE vs MIN@CLE | RBI | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | TB | 1.5 | +210 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 3.0 | WIN | LOSS | |
| 844 | MLB | Trea Turner 10 games | PHI vs LAD@PHI | RBI | 1.5 | +600 | 1.4 | -0.1 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Tyler O'Neill 10 games | BAL vs BAL@BOS | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 846 | MLB | Tyler Stephenson 10 games | CIN vs CIN@SEA | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Willi Castro 10 games | COL vs WSN@COL | RBI | 1.5 | +550 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | William Contreras 10 games | MIL vs NYM@MIL | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | A.J. Ewing 10 games | NYM vs NYM@MIL | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | 3.0 | WIN | LOSS | |
| 850 | MLB | Ben Rice 10 games | NYY vs PIT@NYY | TB | 2.5 | +160 | 1.8 | -0.7 | 2/5 | -1.3 | 34 | 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.