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 | Willy Adames 10 games | SF vs LAA@SFG | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Wyatt Langford 10 games | TEX vs SEA@TEX | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 803 | MLB | Wyatt Langford 10 games | TEX vs SEA@TEX | R | 1.5 | +800 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 804 | MLB | Wyatt Langford 10 games | TEX vs SEA@TEX | RBI | 1.5 | +800 | 1 | -0.5 | 2/5 | +-0 | 37 | F | 1.0 | LOSS | WIN | |
| 805 | MLB | Xander Bogaerts 10 games | SD vs SDP@MIA | TB | 1.5 | +180 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Yordan Alvarez 10 games | HOU vs HOU@CHW | RBI | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | 3.0 | WIN | LOSS | |
| 808 | MLB | Brice Turang 10 games | MIL vs COL@MIL | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | -0.3 | 36 | F | 1.0 | WIN | LOSS | |
| 809 | MLB | Colt Emerson 10 games | SEA vs SEA@TEX | H | 0.5 | -110 | 0.4 | -0.1 | 2/5 | +0 | 36 | F | 2.0 | WIN | LOSS | |
| 810 | MLB | Garrett Mitchell 10 games | MIL vs COL@MIL | H | 0.5 | -250 | 1 | +0.5 | 2/5 | -0.5 | 36 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Gleyber Torres 10 games | DET vs KCR@DET | R | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.1 | 36 | F | 1.0 | WIN | LOSS | |
| 812 | MLB | Jo Adell 10 games | LAA vs LAA@SFG | H | 0.5 | -175 | 0.8 | +0.3 | 2/5 | +0.8 | 36 | F | 1.0 | WIN | LOSS | |
| 813 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | H | 0.5 | -225 | 0.6 | +0.1 | 2/5 | +0.5 | 36 | F | 1.0 | WIN | LOSS | |
| 814 | MLB | Oswald Peraza 10 games | LAA vs LAA@SFG | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | +0.5 | 36 | F | — | PENDING | PENDING | |
| 815 | MLB | Zach McKinstry 10 games | DET vs KCR@DET | H | 0.5 | -153 | 0.6 | +0.1 | 2/5 | +0.5 | 36 | F | 1.0 | WIN | LOSS | |
| 816 | MLB | Alec Bohm 10 games | PHI vs NYY@PHI | RBI | 1.5 | +700 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Alejandro Kirk 10 games | TOR vs TOR@BOS | TB | 1.5 | +155 | 1.4 | -0.1 | 1/5 | +0.9 | 35 | F | 1.0 | LOSS | WIN | |
| 818 | MLB | Andrew Vaughn 10 games | MIL vs COL@MIL | H | 1.5 | +230 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 819 | MLB | Brandon Marsh 10 games | PHI vs NYY@PHI | TB | 1.5 | +150 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | RBI | 1.5 | +550 | 1 | -0.5 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | RBI | 1.5 | +475 | 1.2 | -0.3 | 1/5 | +1.4 | 35 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | TB | 1.5 | +150 | 1 | -0.5 | 1/5 | +1 | 35 | F | 1.0 | LOSS | WIN | |
| 823 | MLB | Carson Benge 10 games | NYM vs LAD@NYM | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Carson Benge 10 games | NYM vs LAD@NYM | TB | 1.5 | +175 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | CJ Abrams 10 games | WSH vs ARI@WSN | R | 1.5 | +800 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 826 | MLB | Colson Montgomery 10 games | CWS vs HOU@CHW | H | 0.5 | -140 | 0.8 | +0.3 | 2/5 | -0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Corbin Carroll 10 games | AZ vs ARI@WSN | H | 1.5 | +200 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 828 | MLB | Corbin Carroll 10 games | AZ vs ARI@WSN | R | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | TB | 1.5 | +180 | 1.2 | -0.3 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 831 | MLB | Daniel Susac 10 games | SF vs LAA@SFG | TB | 1.5 | +230 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 833 | MLB | Dylan Crews 10 games | WSH vs ARI@WSN | H | 1.5 | +260 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 834 | MLB | Freddie Freeman 10 games | LAD vs LAD@NYM | H | 1.5 | +230 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 3.0 | WIN | LOSS | |
| 835 | MLB | Freddie Freeman 10 games | LAD vs LAD@NYM | TB | 1.5 | +125 | 1.4 | -0.1 | 1/5 | +1.2 | 35 | F | 4.0 | WIN | LOSS | |
| 836 | MLB | Grant Holmes 10 games | ATL vs ATL@BAL | K | 3.5 | -500 | 3.4 | -0.1 | 3/5 | -0.2 | 35 | F | 5.0 | WIN | LOSS | |
| 837 | MLB | Gunnar Henderson 10 games | BAL vs ATL@BAL | H | 1.5 | +200 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Ian Happ 10 games | CHC vs CHC@PIT | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@WSN | R | 1.5 | +1000 | 1 | -0.5 | 1/5 | +1 | 35 | F | — | PENDING | PENDING | |
| 840 | MLB | Isaac Paredes 10 games | HOU vs HOU@CHW | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | James Jarvis 10 games | vs ATL@BAL | RBI | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 842 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@PHI | RBI | 1.5 | +800 | 1.4 | -0.1 | 1/5 | +1 | 35 | F | — | PENDING | PENDING | |
| 843 | MLB | Joc Pederson 10 games | TEX vs SEA@TEX | R | 1.5 | +700 | 1 | -0.5 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | H | 1.5 | +320 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | TB | 1.5 | +175 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 846 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | RBI | 1.5 | +450 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 847 | MLB | Kody Clemens 10 games | MIN vs Athletics@ | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 848 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | TB | 1.5 | +115 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 849 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | H | 1.5 | +340 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Liam Hicks 10 games | MIA vs SDP@MIA | TB | 1.5 | +150 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | 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.