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 | Gunnar Henderson 10 games | BAL vs KCR@BAL | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Gunnar Henderson 10 games | BAL vs KCR@BAL | TB | 1.5 | -115 | 1.2 | -0.3 | 1/5 | +0.6 | 32 | F | 3.0 | WIN | LOSS | |
| 803 | MLB | Hao-Yu Lee 10 games | DET vs PHI@DET | TB | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 804 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | R | 0.5 | +145 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Hunter Feduccia 10 games | TB vs SEA@TBR | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Hunter Feduccia 10 games | TB vs SEA@TBR | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Hunter Goodman 10 games | COL vs COL@SFG | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Hunter Goodman 10 games | COL vs COL@SFG | TB | 1.5 | +136 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 810 | MLB | Ian Happ 10 games | CHC vs CHC@CIN | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Isaac Collins 10 games | KC vs KCR@BAL | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Ivan Herrera 10 games | STL vs ATL@STL | TB | 1.5 | +140 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | J.P. Crawford 10 games | SEA vs SEA@TBR | TB | 1.5 | +190 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 5.0 | WIN | LOSS | |
| 814 | MLB | J.T. Realmuto 10 games | PHI vs PHI@DET | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Jac Caglianone 10 games | KC vs KCR@BAL | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Jackson Chourio 10 games | MIL vs MIL@PIT | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 817 | MLB | Jackson Chourio 10 games | MIL vs MIL@PIT | TB | 1.5 | +122 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 818 | MLB | Jackson Holliday 10 games | BAL vs KCR@BAL | RBI | 0.5 | +197 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 819 | MLB | Jackson Holliday 10 games | BAL vs KCR@BAL | TB | 1.5 | +170 | 1.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | R | 0.5 | +100 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Jacob Young 10 games | WSH vs NYY@WSN | RBI | 0.5 | +271 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Jacob Young 10 games | WSH vs NYY@WSN | TB | 1.5 | +185 | 1.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 823 | MLB | Jake Bauers 10 games | MIL vs MIL@PIT | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Jake Bauers 10 games | MIL vs MIL@PIT | R | 0.5 | +140 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 825 | MLB | Jake Bauers 10 games | MIL vs MIL@PIT | TB | 1.5 | +165 | 1.2 | -0.3 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 826 | MLB | Jake Burger 10 games | TEX vs HOU@TEX | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Jake Cronenworth 10 games | SD vs TOR@SDP | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Jake Mangum 10 games | PIT vs MIL@PIT | HR | 0.5 | +1300 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Jake McCarthy 10 games | COL vs COL@SFG | H | 1.5 | +194 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 830 | MLB | Jake McCarthy 10 games | COL vs COL@SFG | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 831 | MLB | Jakob Marsee 10 games | MIA vs CLE@MIA | R | 0.5 | +165 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | James Jarvis 7 games | vs ATL@STL | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 833 | MLB | James Jarvis 7 games | vs ATL@STL | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 834 | MLB | James Outman 10 games | DET vs PHI@DET | RBI | 0.5 | +364 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | James Outman 10 games | DET vs PHI@DET | TB | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Jarren Duran 10 games | BOS vs BOS@NYM | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 837 | MLB | Jasson Domínguez 10 games | NYY vs NYY@WSN | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Jasson Domínguez 10 games | NYY vs NYY@WSN | RBI | 0.5 | +181 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Javier Sanoja 10 games | MIA vs CLE@MIA | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@WSN | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@WSN | TB | 1.5 | +145 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 842 | MLB | Jimmy Crooks 10 games | STL vs ATL@STL | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | JJ Wetherholt 10 games | STL vs ATL@STL | TB | 1.5 | +130 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Jo Adell 10 games | LAA vs LAA@MIN | HR | 0.5 | +525 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | RBI | 0.5 | +186 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 847 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | TB | 1.5 | +140 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 848 | MLB | Joey Meneses 8 games | ATH vs Athletics@ | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Joey Meneses 8 games | ATH vs Athletics@ | RBI | 0.5 | +205 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Joey Ortiz 10 games | MIL vs MIL@PIT | HR | 0.5 | +1500 | 0.2 | -0.3 | 1/5 | -0.1 | 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.