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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 701 | MLB | Geraldo Perdomo 10 games | AZ vs COL@ARI | R | 0.5 | -120 | 0.4 | -0.1 | 2/5 | +0.3 | 34 | F | — | PENDING | PENDING | |
| 702 | MLB | Jarren Duran 10 games | BOS vs BOS@TOR | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 703 | MLB | Jarren Duran 10 games | BOS vs BOS@TOR | TB | 1.5 | +220 | 1.2 | -0.3 | 2/5 | -1.4 | 34 | F | 1.0 | LOSS | WIN | |
| 704 | MLB | JJ Bleday 10 games | CIN vs CIN@CHW | TB | 1.5 | +160 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 705 | MLB | Jordan Beck 5 games | COL vs COL@ARI | TB | 1.5 | +175 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 2.0 | WIN | LOSS | |
| 706 | MLB | Luis Arraez 10 games | PHI vs PHI@STL | TB | 1.5 | +117 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 707 | MLB | Michael Wacha 10 games | KC vs KCR@LAD | K | 4.5 | +105 | 3.6 | -0.9 | 2/5 | -0.8 | 34 | F | 5.0 | WIN | LOSS | |
| 708 | MLB | Mike Yastrzemski 10 games | ATL vs NYM@ATL | H | 0.5 | -119 | 0.4 | -0.1 | 2/5 | +0.1 | 34 | F | 0.0 | LOSS | WIN | |
| 709 | MLB | Nick Sogard 10 games | BOS vs BOS@TOR | R | 1.5 | +1300 | 0.8 | -0.7 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 710 | MLB | Patrick Bailey 10 games | CLE vs CLE@DET | TB | 1.5 | +210 | 1.2 | -0.3 | 2/5 | -1 | 34 | F | 0.0 | LOSS | WIN | |
| 711 | MLB | Ryan Waldschmidt 10 games | AZ vs COL@ARI | TB | 1.5 | +145 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 712 | MLB | Sal Stewart 10 games | CIN vs CIN@CHW | TB | 1.5 | +140 | 1.6 | +0.1 | 1/5 | -1.2 | 34 | F | 1.0 | LOSS | WIN | |
| 713 | MLB | Seiya Suzuki 10 games | CHC vs CHC@WSN | TB | 1.5 | +106 | 1 | -0.5 | 2/5 | -0.7 | 34 | F | 6.0 | WIN | LOSS | |
| 714 | MLB | Trea Turner 10 games | PHI vs PHI@STL | H | 1.5 | +162 | 0.8 | -0.7 | 2/5 | -0.6 | 34 | F | 1.0 | LOSS | WIN | |
| 715 | MLB | Yordan Alvarez 10 games | HOU vs HOU@SFG | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Yordan Alvarez 10 games | HOU vs HOU@SFG | RBI | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 717 | MLB | Cole Carrigg 10 games | COL vs COL@ARI | H | 0.5 | -225 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 2.0 | WIN | LOSS | |
| 718 | MLB | Dominic Canzone 10 games | SEA vs SEA@NYY | H | 0.5 | -175 | 0.6 | +0.1 | 2/5 | +0.1 | 33 | F | 1.0 | WIN | LOSS | |
| 719 | MLB | Hunter Goodman 10 games | COL vs COL@ARI | H | 0.5 | -192 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 720 | MLB | Jake Meyers 10 games | HOU vs HOU@SFG | H | 0.5 | -169 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | — | PENDING | PENDING | |
| 721 | MLB | Jorge Polanco 10 games | NYM vs NYM@ATL | H | 0.5 | -153 | 0.6 | +0.1 | 2/5 | +0 | 33 | F | 0.0 | LOSS | WIN | |
| 722 | MLB | Josh Naylor 10 games | SEA vs SEA@NYY | H | 0.5 | -177 | 0.8 | +0.3 | 2/5 | +0.3 | 33 | F | — | PENDING | PENDING | |
| 723 | MLB | Lawrence Butler 10 games | ATH vs TBR@Athlet | H | 0.5 | -190 | 0.6 | +0.1 | 2/5 | +-0 | 33 | F | 1.0 | WIN | LOSS | |
| 724 | MLB | Liam Hicks 10 games | TB vs TBR@Athlet | H | 0.5 | -260 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 0.0 | LOSS | WIN | |
| 725 | MLB | Ryan Waldschmidt 10 games | AZ vs COL@ARI | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 726 | MLB | Shohei Ohtani 10 games | LAD vs KCR@LAD | R | 0.5 | -157 | 0.8 | +0.3 | 2/5 | +-0 | 33 | F | 1.0 | WIN | LOSS | |
| 727 | MLB | Vaughn Grissom 10 games | LAA vs TEX@LAA | H | 0.5 | -189 | 0.8 | +0.3 | 2/5 | -0.1 | 33 | F | 1.0 | WIN | LOSS | |
| 728 | MLB | Zach Neto 10 games | LAA vs TEX@LAA | H | 0.5 | -205 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 729 | MLB | Alan Roden 10 games | MIN vs BAL@MIN | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 730 | MLB | Alan Roden 10 games | MIN vs BAL@MIN | TB | 1.5 | +195 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 731 | MLB | Alec Burleson 10 games | STL vs PHI@STL | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 733 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 734 | MLB | Alex Bregman 10 games | CHC vs CHC@WSN | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 735 | MLB | Andrés Chaparro 10 games | WSH vs CHC@WSN | R | 0.5 | +161 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 736 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SDP | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 737 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SDP | TB | 1.5 | +160 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 738 | MLB | Andy Pages 10 games | LAD vs KCR@LAD | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 739 | MLB | Angel Genao 5 games | CLE vs CLE@DET | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 740 | MLB | Austin Riley 10 games | ATL vs NYM@ATL | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 741 | MLB | Austin Wells 10 games | NYY vs SEA@NYY | R | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 742 | MLB | Austin Wells 10 games | NYY vs SEA@NYY | RBI | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 743 | MLB | Ben Rice 10 games | NYY vs SEA@NYY | HR | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 744 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@LAD | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 745 | MLB | Braden Montgomery 10 games | CWS vs CIN@CHW | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 746 | MLB | Brady House 10 games | WSH vs CHC@WSN | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Brady House 10 games | WSH vs CHC@WSN | RBI | 0.5 | +229 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 748 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 749 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | H | 1.5 | +210 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 750 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | TB | 1.5 | +147 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 1.0 | 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.