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 | Gabriel Moreno 10 games | AZ vs Athletics@ | RBI | 0.5 | +142 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | George Springer 10 games | TOR vs TBR@TOR | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Geraldo Perdomo 10 games | AZ vs Athletics@ | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Geraldo Perdomo 10 games | AZ vs Athletics@ | RBI | 0.5 | +217 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Gleyber Torres 10 games | DET vs DET@CHC | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Graham Pauley 7 games | MIA vs MIA@HOU | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 807 | MLB | Hao-Yu Lee 10 games | DET vs DET@CHC | RBI | 0.5 | +246 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Heliot Ramos 10 games | SF vs SFG@KCR | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | RBI | 0.5 | +225 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | TB | 1.5 | +150 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Henry Davis 10 games | PIT vs PIT@NYY | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 812 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 813 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 814 | MLB | Hunter Feduccia 10 games | TB vs TBR@TOR | RBI | 0.5 | +337 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 815 | MLB | Ian Happ 10 games | CHC vs DET@CHC | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Ian Happ 10 games | CHC vs DET@CHC | RBI | 0.5 | +225 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 817 | MLB | Ian Happ 10 games | CHC vs DET@CHC | TB | 1.5 | +165 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 818 | MLB | Isaac Paredes 10 games | HOU vs MIA@HOU | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 819 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | RBI | 0.5 | +203 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | TB | 1.5 | +140 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 821 | MLB | Jac Caglianone 10 games | KC vs SFG@KCR | H | 1.5 | +220 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Jac Caglianone 10 games | KC vs SFG@KCR | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Jac Caglianone 10 games | KC vs SFG@KCR | R | 0.5 | +115 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Jackson Chourio 10 games | MIL vs NYM@MIL | H | 1.5 | +195 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 825 | MLB | Jackson Chourio 10 games | MIL vs NYM@MIL | TB | 1.5 | +104 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 826 | MLB | Jackson Merrill 10 games | SD vs SDP@ATL | H | 1.5 | +215 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 827 | MLB | Jackson Merrill 10 games | SD vs SDP@ATL | HR | 0.5 | +575 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 828 | MLB | Jackson Merrill 10 games | SD vs SDP@ATL | R | 0.5 | +115 | 0.4 | -0.1 | 1/5 | +-0 | 32 | F | 1.0 | WIN | LOSS | |
| 829 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 830 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | RBI | 0.5 | +252 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 831 | MLB | Jake Burger 10 games | TEX vs CHW@TEX | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Jake Burger 10 games | TEX vs CHW@TEX | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 833 | MLB | Jake Mangum 10 games | PIT vs PIT@NYY | H | 1.5 | +170 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 834 | MLB | Jake McCarthy 10 games | COL vs WSN@COL | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Jakob Marsee 10 games | MIA vs MIA@HOU | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | James Jarvis 10 games | vs SDP@ATL | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 837 | MLB | James Outman 10 games | DET vs DET@CHC | RBI | 0.5 | +290 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Jared Young 10 games | NYM vs NYM@MIL | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 839 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 840 | MLB | Jasson Domínguez 10 games | NYY vs PIT@NYY | TB | 1.5 | +145 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 841 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@BOS | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 842 | MLB | JJ Wetherholt 10 games | STL vs STL@LAA | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Jo Adell 10 games | LAA vs STL@LAA | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 844 | MLB | Jo Adell 10 games | LAA vs STL@LAA | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 845 | MLB | Jo Adell 10 games | LAA vs STL@LAA | RBI | 0.5 | +161 | 0.4 | -0.1 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 846 | MLB | Jo Adell 10 games | LAA vs STL@LAA | TB | 1.5 | +124 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 5.0 | WIN | LOSS | |
| 847 | MLB | Joe Mack 10 games | MIA vs MIA@HOU | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 848 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 849 | MLB | Jonatan Clase 9 games | TOR vs TBR@TOR | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 850 | MLB | Jonatan Clase 9 games | TOR vs TBR@TOR | R | 0.5 | +180 | 0.4 | -0.1 | 1/5 | -0.4 | 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.