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 | Joey Ortiz 10 games | MIL vs PHI@MIL | H | 1.5 | +475 | 1 | -0.5 | 2/5 | +-0 | 37 | F | 1.0 | LOSS | WIN | |
| 802 | MLB | Joey Ortiz 10 games | MIL vs PHI@MIL | R | 0.5 | +250 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Jonah Heim 10 games | ATH vs COL@Athlet | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Jonah Heim 10 games | ATH vs COL@Athlet | RBI | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Jorbit Vivas 10 games | WSH vs SEA@WSN | H | 1.5 | +380 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 806 | MLB | Jorbit Vivas 10 games | WSH vs SEA@WSN | TB | 1.5 | +210 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 807 | MLB | Jordan Walker 10 games | STL vs STL@MIN | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Jordan Walker 10 games | STL vs STL@MIN | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Jorge Mateo 10 games | ATL vs ATL@NYM | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Jose Altuve 10 games | HOU vs HOU@KCR | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 811 | MLB | Jose Trevino 7 games | CIN vs ARI@CIN | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Josh Naylor 10 games | SEA vs SEA@WSN | H | 0.5 | -320 | 0.6 | +0.1 | 3/5 | -0.7 | 37 | F | 1.0 | WIN | LOSS | |
| 813 | MLB | Josh Naylor 10 games | SEA vs SEA@WSN | RBI | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Juan Soto 10 games | NYM vs ATL@NYM | HR | 0.5 | +260 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Juan Soto 10 games | NYM vs ATL@NYM | RBI | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 816 | MLB | Jung Hoo Lee 10 games | SF vs CHC@SFG | R | 1.5 | +1300 | 0.8 | -0.7 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 817 | MLB | Kazuma Okamoto 10 games | TOR vs NYY@TOR | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 818 | MLB | Kazuma Okamoto 10 games | TOR vs NYY@TOR | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 819 | MLB | Kerry Carpenter 10 games | DET vs DET@CLE | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 820 | MLB | Ketel Marte 10 games | AZ vs ARI@CIN | RBI | 0.5 | +125 | 0.6 | +0.1 | 1/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 821 | MLB | Kody Clemens 10 games | MIN vs STL@MIN | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Kyle Karros 10 games | COL vs COL@Athlet | H | 1.5 | +220 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 4.0 | WIN | LOSS | |
| 823 | MLB | Kyle Stowers 10 games | MIA vs MIA@PIT | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | -0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 824 | MLB | Kyle Tucker 10 games | LAD vs LAD@CHW | RBI | 1.5 | +475 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Lane Thomas 10 games | KC vs HOU@KCR | RBI | 0.5 | +277 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Lane Thomas 10 games | KC vs HOU@KCR | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Lars Nootbaar 8 games | STL vs STL@MIN | RBI | 0.5 | +182 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Lawrence Butler 10 games | ATH vs COL@Athlet | TB | 2.5 | +140 | 1.4 | -1.1 | 2/5 | +1.3 | 37 | F | 2.0 | LOSS | WIN | |
| 829 | MLB | Liam Hicks 10 games | MIA vs MIA@PIT | R | 1.5 | +1000 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 830 | MLB | Logan Webb 7 games | SF vs CHC@SFG | K | 5.5 | +122 | 5.2 | -0.3 | 2/5 | +0 | 37 | F | 7.0 | WIN | LOSS | |
| 831 | MLB | Luis Arraez 10 games | SF vs CHC@SFG | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Luis Rengifo 10 games | MIL vs PHI@MIL | R | 0.5 | +220 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 833 | MLB | Luis Torrens 10 games | NYM vs ATL@NYM | H | 1.5 | +380 | 0.8 | -0.7 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | LuJames Groover 6 games | AZ vs ARI@CIN | RBI | 0.5 | +221 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Luke Keaschall 10 games | MIN vs STL@MIN | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 836 | MLB | Maikel Garcia 10 games | KC vs HOU@KCR | TB | 1.5 | +146 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 4.0 | WIN | LOSS | |
| 837 | MLB | Manny Machado 10 games | SD vs SDP@BAL | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Marcelo Mayer 10 games | BOS vs TEX@BOS | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Marcelo Mayer 10 games | BOS vs TEX@BOS | TB | 1.5 | +185 | 1.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 840 | MLB | Masyn Winn 10 games | STL vs STL@MIN | RBI | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Matt Chapman 10 games | SF vs CHC@SFG | R | 0.5 | +130 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 842 | MLB | Matt McLain 10 games | CIN vs ARI@CIN | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Max Muncy 10 games | LAD vs LAD@CHW | H | 1.5 | +260 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Max Muncy 10 games | LAD vs LAD@CHW | RBI | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Michael Busch 10 games | CHC vs CHC@SFG | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Michael Helman 10 games | TEX vs TEX@BOS | RBI | 0.5 | +290 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | — | PENDING | PENDING | |
| 847 | MLB | Michael Massey 10 games | KC vs HOU@KCR | H | 1.5 | +320 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 848 | MLB | Michael McGreevy 9 games | STL vs STL@MIN | K | 3.5 | +100 | 3.2 | -0.3 | 2/5 | -0.1 | 37 | F | 2.0 | LOSS | WIN | |
| 849 | MLB | Miles Mikolas 9 games | WSH vs SEA@WSN | K | 3.5 | +145 | 2.8 | -0.7 | 2/5 | -0.4 | 37 | F | 3.0 | LOSS | WIN | |
| 850 | MLB | Moisés Ballesteros 10 games | CHC vs CHC@SFG | RBI | 0.5 | +292 | 0.4 | -0.1 | 2/5 | +0 | 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.