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 | Marcell Ozuna 10 games | PIT vs PIT@COL | TB | 2.5 | +180 | 1.6 | -0.9 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 752 | MLB | Masataka Yoshida 10 games | BOS vs BOS@SEA | H | 1.5 | +320 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 753 | MLB | Masataka Yoshida 10 games | BOS vs BOS@SEA | TB | 1.5 | +175 | 1.2 | -0.3 | 1/5 | +0.8 | 35 | F | — | PENDING | PENDING | |
| 754 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@NYY | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +0.3 | 35 | F | 1.0 | WIN | LOSS | |
| 755 | MLB | Oswald Peraza 10 games | LAA vs LAA@Athlet | TB | 1.5 | +132 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 4.0 | WIN | LOSS | |
| 756 | MLB | Pete Crow-Armstrong 10 games | CHC vs TOR@CHC | RBI | 1.5 | +550 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 757 | MLB | Petey Halpin 10 games | CLE vs CLE@HOU | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.3 | 35 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Sal Stewart 10 games | CIN vs CIN@NYY | H | 1.5 | +300 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Sal Stewart 10 games | CIN vs CIN@NYY | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Sal Stewart 10 games | CIN vs CIN@NYY | RBI | 1.5 | +700 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 761 | MLB | Salvador Perez 10 games | KC vs STL@KCR | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 1.0 | LOSS | WIN | |
| 762 | MLB | Samad Taylor 10 games | SD vs SDP@TEX | R | 1.5 | +1500 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 763 | MLB | Spencer Steer 10 games | CIN vs CIN@NYY | TB | 1.5 | +190 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 764 | MLB | Tanner Bibee 10 games | CLE vs CLE@HOU | K | 5.5 | +135 | 4.8 | -0.7 | 1/5 | +0.5 | 35 | F | 7.0 | WIN | LOSS | |
| 765 | MLB | Trevor Larnach 10 games | MIN vs MIN@ARI | RBI | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 766 | MLB | Troy Johnston 10 games | COL vs PIT@COL | R | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 767 | MLB | Troy Johnston 10 games | COL vs PIT@COL | RBI | 1.5 | +550 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | — | PENDING | PENDING | |
| 768 | MLB | Victor Caratini 10 games | MIN vs MIN@ARI | R | 1.5 | +1500 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 769 | MLB | Victor Mesa Jr. 10 games | TB vs WSN@TBR | R | 1.5 | +1500 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Victor Mesa Jr. 10 games | TB vs WSN@TBR | TB | 1.5 | +200 | 1.2 | -0.3 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Alejandro Osuna 10 games | TEX vs SDP@TEX | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | 2.0 | WIN | LOSS | |
| 772 | MLB | Alex Bregman 10 games | CHC vs TOR@CHC | TB | 1.5 | +160 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 1.0 | LOSS | WIN | |
| 773 | MLB | Alex Freeland 10 games | LAD vs BAL@LAD | H | 0.5 | -112 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 2.0 | WIN | LOSS | |
| 774 | MLB | Byron Buxton 10 games | MIN vs MIN@ARI | H | 1.5 | +240 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 2.0 | WIN | LOSS | |
| 775 | MLB | Christian Walker 10 games | HOU vs CLE@HOU | RBI | 0.5 | +159 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | Cole Carrigg 9 games | COL vs PIT@COL | TB | 1.5 | +131 | 1.2 | -0.3 | 2/5 | -0.7 | 34 | F | 1.0 | LOSS | WIN | |
| 777 | MLB | Daylen Lile 10 games | WSH vs WSN@TBR | RBI | 0.5 | +211 | 0.4 | -0.1 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Daylen Lile 10 games | WSH vs WSN@TBR | TB | 1.5 | +144 | 1.2 | -0.3 | 2/5 | -1.1 | 34 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Dillon Dingler 10 games | DET vs CHW@DET | TB | 2.5 | +220 | 1.8 | -0.7 | 2/5 | -0.8 | 34 | F | 3.0 | WIN | LOSS | |
| 780 | MLB | Drake Baldwin 10 games | ATL vs MIL@ATL | RBI | 1.5 | +800 | 1 | -0.5 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | Garrett Mitchell 10 games | MIL vs MIL@ATL | H | 1.5 | +340 | 0.8 | -0.7 | 2/5 | -0.5 | 34 | F | 2.0 | WIN | LOSS | |
| 782 | MLB | J.P. Crawford 10 games | SEA vs BOS@SEA | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Jackson Chourio 10 games | MIL vs MIL@ATL | H | 1.5 | +170 | 1.4 | -0.1 | 2/5 | -1.4 | 34 | F | 1.0 | LOSS | WIN | |
| 784 | MLB | Jackson Chourio 10 games | MIL vs MIL@ATL | RBI | 1.5 | +500 | 1.4 | -0.1 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Jackson Holliday 10 games | BAL vs BAL@LAD | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.2 | 34 | F | 1.0 | WIN | LOSS | |
| 786 | MLB | Jake McCarthy 10 games | COL vs PIT@COL | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.1 | 34 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | JJ Wetherholt 10 games | STL vs STL@KCR | R | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.3 | 34 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | JJ Wetherholt 10 games | STL vs STL@KCR | RBI | 0.5 | +190 | 0.6 | +0.1 | 1/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Jo Adell 10 games | LAA vs LAA@Athlet | H | 1.5 | +200 | 1 | -0.5 | 2/5 | -0.9 | 34 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Jo Adell 10 games | LAA vs LAA@Athlet | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 1.0 | WIN | LOSS | |
| 791 | MLB | Jordan Walker 10 games | STL vs STL@KCR | TB | 1.5 | +100 | 0.8 | -0.7 | 2/5 | -1.1 | 34 | F | 2.0 | WIN | LOSS | |
| 792 | MLB | Jose Soriano 10 games | LAA vs LAA@Athlet | K | 5.5 | +125 | 5 | -0.5 | 2/5 | -0.6 | 34 | F | 6.0 | WIN | LOSS | |
| 793 | MLB | Josh Naylor 10 games | SEA vs BOS@SEA | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | -0.8 | 34 | F | 2.0 | WIN | LOSS | |
| 794 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@CHC | RBI | 0.5 | +226 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 795 | MLB | Liam Hicks 10 games | MIA vs SFG@MIA | TB | 1.5 | +135 | 1.4 | -0.1 | 2/5 | -0.8 | 34 | F | 1.0 | LOSS | WIN | |
| 796 | MLB | Manny Machado 10 games | SD vs SDP@TEX | TB | 1.5 | +165 | 1.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Matt McLain 10 games | CIN vs CIN@NYY | TB | 1.5 | +220 | 1 | -0.5 | 2/5 | -1 | 34 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | Michael Harris II 10 games | ATL vs MIL@ATL | TB | 1.5 | +160 | 1.6 | +0.1 | 1/5 | -0.7 | 34 | F | — | PENDING | PENDING | |
| 799 | MLB | Michael McGreevy 10 games | STL vs STL@KCR | K | 3.5 | +104 | 3 | -0.5 | 2/5 | -1.2 | 34 | F | 2.0 | LOSS | WIN | |
| 800 | MLB | Mitch Garver 10 games | SEA vs BOS@SEA | TB | 1.5 | +210 | 1.4 | -0.1 | 2/5 | -0.9 | 34 | 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.