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 | Cal Raleigh 10 games | SEA vs CIN@SEA | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 752 | MLB | Cal Raleigh 10 games | SEA vs CIN@SEA | TB | 1.5 | +165 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Caleb Durbin 10 games | BOS vs BAL@BOS | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 754 | MLB | Cam Smith 10 games | HOU vs MIA@HOU | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 755 | MLB | Cam Smith 10 games | HOU vs MIA@HOU | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 756 | MLB | Cam Smith 10 games | HOU vs MIA@HOU | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 757 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | RBI | 0.5 | +207 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 758 | MLB | Carson Kelly 10 games | CHC vs DET@CHC | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 759 | MLB | Carter Jensen 10 games | KC vs SFG@KCR | R | 0.5 | +110 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 760 | MLB | Carter Jensen 10 games | KC vs SFG@KCR | RBI | 0.5 | +180 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 761 | MLB | Ceddanne Rafaela 10 games | BOS vs BAL@BOS | H | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 762 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 763 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 764 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | RBI | 0.5 | +204 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Chandler Simpson 10 games | TB vs TBR@TOR | R | 0.5 | +165 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 766 | MLB | Chase DeLauter 10 games | CLE vs MIN@CLE | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 767 | MLB | Christian Walker 10 games | HOU vs MIA@HOU | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 768 | MLB | Christian Yelich 10 games | MIL vs NYM@MIL | RBI | 0.5 | +213 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 769 | MLB | Cole Carrigg 10 games | COL vs WSN@COL | H | 1.5 | +180 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 770 | MLB | Cole Carrigg 10 games | COL vs WSN@COL | RBI | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 771 | MLB | Colson Montgomery 10 games | CWS vs CHW@TEX | HR | 0.5 | +320 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 772 | MLB | Colt Emerson 10 games | SEA vs CIN@SEA | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 773 | MLB | Colt Keith 10 games | DET vs DET@CHC | RBI | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 776 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | RBI | 0.5 | +140 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 777 | MLB | Curtis Mead 10 games | WSH vs WSN@COL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Dane Myers 10 games | CIN vs CIN@SEA | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 779 | MLB | Dane Myers 10 games | CIN vs CIN@SEA | RBI | 0.5 | +290 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | Daulton Varsho 10 games | TOR vs TBR@TOR | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | H | 1.5 | +144 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 782 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 784 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 785 | MLB | Denzer Guzman 10 games | LAA vs STL@LAA | RBI | 0.5 | +235 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 786 | MLB | Dillon Dingler 10 games | DET vs DET@CHC | HR | 0.5 | +500 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 787 | MLB | Dominic Canzone 10 games | SEA vs CIN@SEA | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Drew Gilbert 10 games | SF vs SFG@KCR | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 789 | MLB | Drew Gilbert 10 games | SF vs SFG@KCR | RBI | 0.5 | +224 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 790 | MLB | Drew Romo 10 games | CWS vs CHW@TEX | TB | 1.5 | +200 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Dylan Crews 10 games | WSH vs WSN@COL | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 792 | MLB | Edmundo Sosa 10 games | PHI vs LAD@PHI | TB | 1.5 | +135 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 793 | MLB | Elly De La Cruz 10 games | CIN vs CIN@SEA | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 794 | MLB | Elly De La Cruz 10 games | CIN vs CIN@SEA | RBI | 0.5 | +186 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 795 | MLB | Ernie Clement 10 games | TOR vs TBR@TOR | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 796 | MLB | Ezequiel Tovar 10 games | COL vs WSN@COL | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Francisco Alvarez 10 games | NYM vs NYM@MIL | HR | 0.5 | +475 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 798 | MLB | Francisco Alvarez 10 games | NYM vs NYM@MIL | RBI | 0.5 | +247 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 799 | MLB | Gabriel Arias 10 games | CLE vs MIN@CLE | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 800 | MLB | Gabriel Arias 10 games | CLE vs MIN@CLE | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | 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.