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 | Jose Siri 10 games | LAA vs LAA@SFG | H | 1.5 | +450 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 702 | MLB | Jose Siri 10 games | LAA vs LAA@SFG | TB | 1.5 | +180 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 703 | MLB | Josh Bell 10 games | MIN vs Athletics@ | R | 0.5 | +100 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 704 | MLB | JP Sears 5 games | SD vs SDP@MIA | K | 4.5 | +200 | 4 | -0.5 | 2/5 | -0.3 | 37 | F | 3.0 | LOSS | WIN | |
| 705 | MLB | Jung Hoo Lee 10 games | SF vs LAA@SFG | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 706 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 707 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | TB | 2.5 | +170 | 1.8 | -0.7 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 708 | MLB | Kody Clemens 10 games | MIN vs Athletics@ | TB | 1.5 | +110 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 709 | MLB | Kyle Karros 10 games | COL vs COL@MIL | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 710 | MLB | Kyle Karros 10 games | COL vs COL@MIL | RBI | 0.5 | +260 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 711 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 712 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | RBI | 0.5 | +218 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 713 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | RBI | 0.5 | +232 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 714 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | TB | 1.5 | +110 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 715 | MLB | Luis Robert Jr. 4 games | NYM vs LAD@NYM | H | 0.5 | -130 | 0.5 | +0 | 2/4 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Luke Raley 10 games | SEA vs SEA@TEX | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 717 | MLB | Masataka Yoshida 10 games | BOS vs TOR@BOS | RBI | 0.5 | +221 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 718 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | H | 1.5 | +230 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 719 | MLB | Max Muncy 10 games | ATH vs LAD@NYM | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 720 | MLB | Max Muncy 10 games | ATH vs LAD@NYM | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 721 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | H | 1.5 | +197 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 722 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 723 | MLB | Michael Massey 10 games | KC vs KCR@DET | H | 1.5 | +320 | 1.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 724 | MLB | Michael Wacha 10 games | KC vs KCR@DET | K | 5.5 | +135 | 5.2 | -0.3 | 2/5 | -0.3 | 37 | F | 3.0 | LOSS | WIN | |
| 725 | MLB | Mickey Moniak 10 games | COL vs COL@MIL | H | 1.5 | +400 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 726 | MLB | Mickey Moniak 10 games | COL vs COL@MIL | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | — | PENDING | PENDING | |
| 727 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | RBI | 0.5 | +209 | 0.6 | +0.1 | 1/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 728 | MLB | Munetaka Murakami 10 games | CWS vs HOU@CHW | TB | 1.5 | +160 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 729 | MLB | Nathan Church 10 games | STL vs CIN@STL | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 730 | MLB | Nathan Church 10 games | STL vs CIN@STL | R | 0.5 | +195 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 731 | MLB | Nathan Lukes 10 games | TOR vs TOR@BOS | H | 1.5 | +230 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 732 | MLB | Nathan Lukes 10 games | TOR vs TOR@BOS | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 733 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | HR | 0.5 | +800 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 734 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 735 | MLB | Nick Gonzales 10 games | PIT vs CHC@PIT | RBI | 0.5 | +229 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 736 | MLB | Nick Loftin 10 games | KC vs KCR@DET | H | 1.5 | +320 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 737 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | H | 1.5 | +450 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 738 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | RBI | 0.5 | +343 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 739 | MLB | Nicky Lopez 10 games | TEX vs SEA@TEX | TB | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 740 | MLB | Nico Hoerner 10 games | CHC vs CHC@PIT | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 741 | MLB | Nico Hoerner 10 games | CHC vs CHC@PIT | RBI | 0.5 | +256 | 0.8 | +0.3 | 1/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 742 | MLB | Nolan Arenado 10 games | AZ vs ARI@WSN | R | 0.5 | +140 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 743 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 744 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 745 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 746 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | RBI | 0.5 | +148 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 4.0 | WIN | LOSS | |
| 747 | MLB | Robert Gasser 8 games | MIL vs COL@MIL | K | 4.5 | -225 | 4.8 | +0.3 | 3/5 | -1.1 | 37 | F | 4.0 | LOSS | WIN | |
| 748 | MLB | Ryan McMahon 10 games | NYY vs NYY@PHI | TB | 1.5 | +170 | 1 | -0.5 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 749 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | H | 1.5 | +300 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 750 | MLB | Ryan O'Hearn 10 games | PIT vs CHC@PIT | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | 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.