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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Marcelo Mayer 10 games | BOS vs BOS@TBR | R | 0.5 | +186 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 752 | MLB | Marcelo Mayer 10 games | BOS vs BOS@TBR | RBI | 0.5 | +245 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 753 | MLB | Matt Chapman 10 games | SF vs WSN@SFG | HR | 0.5 | +750 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 754 | MLB | Matt Chapman 10 games | SF vs WSN@SFG | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Miguel Andujar 10 games | SD vs CIN@SDP | H | 1.5 | +220 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 756 | MLB | Miguel Andujar 10 games | SD vs CIN@SDP | TB | 1.5 | +133 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 757 | MLB | Myles Straw 10 games | TOR vs PHI@TOR | R | 0.5 | +280 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 758 | MLB | Nick Fortes 10 games | TB vs BOS@TBR | R | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Nick Fortes 10 games | TB vs BOS@TBR | RBI | 0.5 | +255 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Nick Fortes 10 games | TB vs BOS@TBR | TB | 1.5 | +220 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 761 | MLB | Nick Kurtz 10 games | ATH vs MIL@Athlet | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 762 | MLB | Nick Kurtz 10 games | ATH vs MIL@Athlet | RBI | 1.5 | +475 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 763 | MLB | Nick Madrigal 8 games | LAA vs HOU@LAA | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 764 | MLB | Nick Madrigal 8 games | LAA vs HOU@LAA | RBI | 0.5 | +244 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | H | 1.5 | +320 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 766 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 767 | MLB | Nolan Schanuel 10 games | LAA vs HOU@LAA | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 768 | MLB | Oswald Peraza 10 games | LAA vs HOU@LAA | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Oswald Peraza 10 games | LAA vs HOU@LAA | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Patrick Bailey 10 games | CLE vs NYY@CLE | R | 0.5 | +200 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 771 | MLB | Patrick Bailey 10 games | CLE vs NYY@CLE | RBI | 0.5 | +266 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 772 | MLB | Patrick Wisdom 10 games | SEA vs SEA@BAL | R | 0.5 | +139 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 773 | MLB | Patrick Wisdom 10 games | SEA vs SEA@BAL | RBI | 0.5 | +193 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CLE | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 775 | MLB | Pete Alonso 10 games | BAL vs SEA@BAL | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | Pete Alonso 10 games | BAL vs SEA@BAL | RBI | 0.5 | +160 | 0.4 | -0.1 | 1/5 | +-0 | 32 | F | 1.0 | WIN | LOSS | |
| 777 | MLB | Rafael Devers 10 games | SF vs WSN@SFG | H | 1.5 | +240 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Rafael Devers 10 games | SF vs WSN@SFG | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Randy Arozarena 10 games | SEA vs SEA@BAL | H | 1.5 | +240 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 780 | MLB | Ryan McMahon 10 games | NYY vs NYY@CLE | H | 1.5 | +475 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 781 | MLB | Ryan McMahon 10 games | NYY vs NYY@CLE | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 782 | MLB | Ryan McMahon 10 games | NYY vs NYY@CLE | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 783 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Ryan Vilade 10 games | TB vs BOS@TBR | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Sal Frelick 10 games | MIL vs MIL@Athlet | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 786 | MLB | Sal Stewart 10 games | CIN vs CIN@SDP | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 787 | MLB | Sal Stewart 10 games | CIN vs CIN@SDP | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Sal Stewart 10 games | CIN vs CIN@SDP | RBI | 0.5 | +200 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 789 | MLB | Samuel Basallo 10 games | BAL vs SEA@BAL | R | 0.5 | +155 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Samuel Basallo 10 games | BAL vs SEA@BAL | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Shea Langeliers 10 games | ATH vs MIL@Athlet | H | 1.5 | +200 | 1 | -0.5 | 1/5 | +-0 | 32 | F | 3.0 | WIN | LOSS | |
| 792 | MLB | Shea Langeliers 10 games | ATH vs MIL@Athlet | HR | 0.5 | +240 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 793 | MLB | Shea Langeliers 10 games | ATH vs MIL@Athlet | R | 1.5 | +450 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 794 | MLB | Shea Langeliers 10 games | ATH vs MIL@Athlet | RBI | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 795 | MLB | Spencer Arrighetti 9 games | HOU vs HOU@LAA | K | 4.5 | -250 | 4.2 | -0.3 | 3/5 | -1.4 | 32 | F | 7.0 | WIN | LOSS | |
| 796 | MLB | Spencer Jones 10 games | NYY vs NYY@CLE | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Spencer Steer 10 games | CIN vs CIN@SDP | HR | 0.5 | +750 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | Spencer Steer 10 games | CIN vs CIN@SDP | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 799 | MLB | Spencer Steer 10 games | CIN vs CIN@SDP | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Steward Berroa 3 games | PHI vs PHI@TOR | RBI | 0.5 | +314 | 0.3 | -0.2 | 1/3 | +0 | 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.