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 | J.P. Crawford 10 games | SEA vs BAL@SEA | TB | 1.5 | +165 | 1.8 | +0.3 | 1/5 | -1.5 | 31 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Jeff McNeil 10 games | ATH vs LAA@Athlet | H | 0.5 | -180 | 0.6 | +0.1 | 1/5 | +0.7 | 31 | F | 1.0 | WIN | LOSS | |
| 803 | MLB | Jose Siri 10 games | LAA vs LAA@Athlet | H | 0.5 | -120 | 0.4 | -0.1 | 2/5 | -0.7 | 31 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Parker Messick 10 games | CLE vs CLE@MIL | K | 5.5 | +110 | 4.8 | -0.7 | 2/5 | -1.7 | 31 | F | 9.0 | WIN | LOSS | |
| 805 | MLB | Ryan Weathers 9 games | NYY vs CHW@NYY | K | 6.5 | +132 | 5.4 | -1.1 | 2/5 | -0.6 | 31 | F | 8.0 | WIN | LOSS | |
| 806 | MLB | Adley Rutschman 10 games | BAL vs BAL@SEA | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Daniel Susac 10 games | SF vs SFG@ATL | H | 0.5 | -152 | 0.6 | +0.1 | 2/5 | -0.6 | 30 | F | — | PENDING | PENDING | |
| 808 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | H | 0.5 | -249 | 0.6 | +0.1 | 2/5 | -0.6 | 30 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Rob Refsnyder 10 games | SEA vs BAL@SEA | H | 0.5 | -145 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | — | PENDING | PENDING | |
| 810 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | R | 1.5 | +1000 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Aaron Nola 10 games | PHI vs NYM@PHI | K | 6.5 | +225 | 5 | -1.5 | 1/5 | +0.3 | 29 | F | 6.0 | LOSS | WIN | |
| 812 | MLB | Adley Rutschman 10 games | BAL vs BAL@SEA | H | 1.5 | +280 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Adley Rutschman 10 games | BAL vs BAL@SEA | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Adley Rutschman 10 games | BAL vs BAL@SEA | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | R | 1.5 | +800 | 0.4 | -1.1 | 1/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Alec Burleson 10 games | STL vs STL@KCR | H | 1.5 | +200 | 1 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Alec Burleson 10 games | STL vs STL@KCR | RBI | 1.5 | +500 | 0.6 | -0.9 | 0/5 | -0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 818 | MLB | Alejandro Kirk 4 games | TOR vs TOR@BOS | H | 1.5 | +200 | 1 | -0.5 | 1/4 | -0.7 | 29 | F | — | PENDING | PENDING | |
| 819 | MLB | Alejandro Kirk 4 games | TOR vs TOR@BOS | HR | 0.5 | +600 | 0 | -0.5 | 0/4 | +0 | 29 | F | — | PENDING | PENDING | |
| 820 | MLB | Alejandro Kirk 4 games | TOR vs TOR@BOS | TB | 1.5 | +130 | 1.3 | -0.3 | 1/4 | -0.9 | 29 | F | — | PENDING | PENDING | |
| 821 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | H | 1.5 | +500 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | TB | 1.5 | +260 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Andrew Vaughn 10 games | MIL vs CLE@MIL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Andrew Vaughn 10 games | MIL vs CLE@MIL | R | 0.5 | +135 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 826 | MLB | Andruw Monasterio 10 games | BOS vs TOR@BOS | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Andruw Monasterio 10 games | BOS vs TOR@BOS | R | 0.5 | +171 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Andruw Monasterio 10 games | BOS vs TOR@BOS | RBI | 0.5 | +273 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | R | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 831 | MLB | Austin Riley 10 games | ATL vs SFG@ATL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 832 | MLB | Austin Riley 10 games | ATL vs SFG@ATL | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 833 | MLB | Blaze Alexander 10 games | BAL vs BAL@SEA | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | 2.0 | WIN | LOSS | |
| 835 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Bobby Witt Jr. 10 games | KC vs STL@KCR | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 837 | MLB | Bobby Witt Jr. 10 games | KC vs STL@KCR | R | 1.5 | +475 | 0.8 | -0.7 | 0/5 | +0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 838 | MLB | Braden Montgomery 7 games | CWS vs CHW@NYY | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Braden Montgomery 7 games | CWS vs CHW@NYY | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | R | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 842 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | RBI | 1.5 | +600 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIL | TB | 1.5 | +170 | 0.6 | -0.9 | 1/5 | -1 | 29 | F | 3.0 | WIN | LOSS | |
| 845 | MLB | Brett Baty 10 games | NYM vs NYM@PHI | H | 1.5 | +340 | 0.4 | -1.1 | 1/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Brett Baty 10 games | NYM vs NYM@PHI | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Brett Baty 10 games | NYM vs NYM@PHI | R | 0.5 | +155 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Brett Baty 10 games | NYM vs NYM@PHI | TB | 1.5 | +175 | 0.4 | -1.1 | 1/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | RBI | 1.5 | +600 | 0.8 | -0.7 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 850 | MLB | Bryce Harper 10 games | PHI vs NYM@PHI | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 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.