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 | Ceddanne Rafaela 10 games | BOS vs BOS@NYM | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 752 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 754 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | RBI | 0.5 | +193 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 755 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | TB | 1.5 | +160 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 756 | MLB | Chandler Simpson 10 games | TB vs SEA@TBR | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 757 | MLB | Christian Walker 10 games | HOU vs HOU@TEX | RBI | 0.5 | +173 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 758 | MLB | Christian Yelich 10 games | MIL vs MIL@PIT | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 759 | MLB | Christian Yelich 10 games | MIL vs MIL@PIT | RBI | 0.5 | +255 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 760 | MLB | Cody Bellinger 10 games | NYY vs NYY@WSN | R | 0.5 | +105 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 761 | MLB | Cody Bellinger 10 games | NYY vs NYY@WSN | RBI | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 762 | MLB | Colt Emerson 10 games | SEA vs SEA@TBR | RBI | 0.5 | +310 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 763 | MLB | Colton Cowser 10 games | BAL vs KCR@BAL | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 764 | MLB | Connor Wong 10 games | BOS vs BOS@NYM | R | 0.5 | +170 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 765 | MLB | Connor Wong 10 games | BOS vs BOS@NYM | RBI | 0.5 | +252 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 766 | MLB | Cooper Pratt 10 games | MIL vs MIL@PIT | R | 0.5 | +180 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 767 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | RBI | 0.5 | +255 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 768 | MLB | Daulton Varsho 10 games | TOR vs TOR@SDP | RBI | 0.5 | +183 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 769 | MLB | Daylen Lile 10 games | WSH vs NYY@WSN | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Daylen Lile 10 games | WSH vs NYY@WSN | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 771 | MLB | Denzer Guzman 10 games | LAA vs LAA@MIN | TB | 1.5 | +175 | 1.2 | -0.3 | 1/5 | +0.3 | 32 | F | 5.0 | WIN | LOSS | |
| 772 | MLB | Derek Hill 10 games | PHI vs PHI@DET | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 773 | MLB | Dillon Dingler 10 games | DET vs PHI@DET | RBI | 0.5 | +207 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Dominic Canzone 10 games | SEA vs SEA@TBR | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 775 | MLB | Dominic Canzone 10 games | SEA vs SEA@TBR | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 776 | MLB | Dominic Canzone 10 games | SEA vs SEA@TBR | TB | 1.5 | +150 | 1.4 | -0.1 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 777 | MLB | Drake Baldwin 10 games | ATL vs ATL@STL | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 778 | MLB | Drake Baldwin 10 games | ATL vs ATL@STL | TB | 1.5 | +130 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 779 | MLB | Drew Cavanaugh 10 games | SF vs COL@SFG | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 780 | MLB | Drew Cavanaugh 10 games | SF vs COL@SFG | TB | 1.5 | +210 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 781 | MLB | Edmundo Sosa 10 games | PHI vs PHI@DET | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Edouard Julien 10 games | COL vs COL@SFG | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 783 | MLB | Edouard Julien 10 games | COL vs COL@SFG | RBI | 0.5 | +276 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 784 | MLB | Eli White 10 games | ATL vs ATL@STL | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Emmet Sheehan 9 games | LAD vs ARI@LAD | K | 5.5 | +105 | 4.8 | -0.7 | 1/5 | -0.1 | 32 | F | 7.0 | WIN | LOSS | |
| 786 | MLB | Eric Wagaman 10 games | NYM vs BOS@NYM | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 787 | MLB | Eric Wagaman 10 games | NYM vs BOS@NYM | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 788 | MLB | Eric Wagaman 10 games | NYM vs BOS@NYM | RBI | 0.5 | +281 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Eric Wagaman 10 games | NYM vs BOS@NYM | TB | 1.5 | +190 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 790 | MLB | Ernie Clement 10 games | TOR vs TOR@SDP | RBI | 0.5 | +235 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 791 | MLB | Esteury Ruiz 10 games | MIA vs CLE@MIA | TB | 1.5 | +210 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 792 | MLB | Evan Carter 10 games | TEX vs HOU@TEX | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 793 | MLB | Ezequiel Tovar 10 games | COL vs COL@SFG | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 794 | MLB | Fernando Tatis Jr. 10 games | SD vs TOR@SDP | RBI | 0.5 | +205 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 795 | MLB | Francisco Lindor 10 games | NYM vs BOS@NYM | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 796 | MLB | Gabriel Moreno 10 games | AZ vs ARI@LAD | R | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 797 | MLB | Gavin Sheets 10 games | SD vs TOR@SDP | RBI | 0.5 | +227 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | George Springer 10 games | TOR vs TOR@SDP | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 799 | MLB | George Springer 10 games | TOR vs TOR@SDP | RBI | 0.5 | +148 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 800 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@LAD | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 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.