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 | Troy Johnston 10 games | COL vs COL@SFG | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Tsung-Che Cheng 8 games | BOS vs BOS@NYM | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Ty France 10 games | SD vs TOR@SDP | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 804 | MLB | Tyler Stephenson 10 games | CIN vs CHC@CIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Tyler Stephenson 10 games | CIN vs CHC@CIN | RBI | 0.5 | +192 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | RBI | 0.5 | +302 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@BAL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | William Contreras 10 games | MIL vs MIL@PIT | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Xavier Edwards 10 games | MIA vs CLE@MIA | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Yordan Alvarez 10 games | HOU vs HOU@TEX | H | 1.5 | +190 | 0.6 | -0.9 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 812 | MLB | Yordan Alvarez 10 games | HOU vs HOU@TEX | RBI | 0.5 | +136 | 0.2 | -0.3 | 1/5 | -0.9 | 29 | F | 2.0 | WIN | LOSS | |
| 813 | MLB | Zach Neto 10 games | LAA vs LAA@MIN | RBI | 0.5 | +227 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Alan Roden 3 games | MIN vs LAA@MIN | H | 0.5 | -175 | 0.7 | +0.2 | 1/3 | +0 | 28 | F | 1.0 | WIN | LOSS | |
| 815 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Alejandro Kirk 10 games | TOR vs TOR@SDP | H | 0.5 | -176 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 2.0 | WIN | LOSS | |
| 817 | MLB | Christian Yelich 10 games | MIL vs MIL@PIT | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 818 | MLB | Coby Mayo 10 games | BAL vs KCR@BAL | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 819 | MLB | Corbin Carroll 10 games | AZ vs ARI@LAD | H | 0.5 | -177 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Dalton Rushing 10 games | LAD vs ARI@LAD | H | 0.5 | -160 | 0.6 | +0.1 | 1/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Dylan Crews 10 games | WSH vs NYY@WSN | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Eric Wagaman 10 games | NYM vs BOS@NYM | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Eugenio Suarez 10 games | CIN vs CHC@CIN | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 2.0 | WIN | LOSS | |
| 824 | MLB | Francisco Lindor 10 games | NYM vs BOS@NYM | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Gunnar Henderson 10 games | BAL vs KCR@BAL | H | 0.5 | -225 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 826 | MLB | Hao-Yu Lee 10 games | DET vs PHI@DET | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 2.0 | WIN | LOSS | |
| 827 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@LAD | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Joey Bart 10 games | ATL vs ATL@STL | H | 0.5 | -154 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Josh Lowe 10 games | LAA vs LAA@MIN | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | — | PENDING | PENDING | |
| 831 | MLB | Miguel Andujar 10 games | SD vs TOR@SDP | H | 0.5 | -160 | 0.6 | +0.1 | 1/5 | +0.1 | 28 | F | — | PENDING | PENDING | |
| 832 | MLB | Randal Grichuk 10 games | CWS vs ATHLETICS@ | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 833 | MLB | Tyler Soderstrom 10 games | OAK vs ATHLETICS@ | H | 0.5 | -235 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | Willy Adames 10 games | SF vs COL@SFG | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Xander Bogaerts 10 games | SD vs TOR@SDP | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | H | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.4 | 27 | F | 0.0 | LOSS | WIN | |
| 837 | MLB | Jorge Mateo 9 games | ATL vs ATL@STL | H | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.2 | 27 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | Junior Perez 10 games | CWS vs ATHLETICS@ | H | 0.5 | -126 | 0.2 | -0.3 | 1/5 | -0.2 | 27 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Kyle Teel 10 games | CWS vs ATHLETICS@ | H | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.5 | 27 | F | — | PENDING | PENDING | |
| 840 | MLB | TJ Friedl 10 games | CIN vs CHC@CIN | H | 0.5 | -125 | 0.2 | -0.3 | 1/5 | -0.1 | 27 | F | 2.0 | WIN | LOSS | |
| 841 | MLB | Evan Carter 10 games | TEX vs HOU@TEX | H | 0.5 | -113 | 0 | -0.5 | 0/5 | -0.5 | 26 | F | 2.0 | WIN | LOSS | |
| 842 | MLB | Gunnar Henderson 10 games | BAL vs KCR@BAL | H | 1.5 | +201 | 0.4 | -1.1 | 0/5 | -0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 843 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIA | H | 0.5 | -120 | 0 | -0.5 | 0/5 | -0.3 | 26 | F | 1.0 | WIN | LOSS | |
| 844 | MLB | Shea Langeliers 10 games | OAK vs ATHLETICS@ | H | 1.5 | +195 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | Alika Williams 10 games | OAK vs ATHLETICS@ | H | 0.5 | -155 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Nathan Church 10 games | STL vs ATL@STL | H | 0.5 | -137 | 0.2 | -0.3 | 1/5 | -0.5 | 25 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | H | 0.5 | -140 | 0.2 | -0.3 | 1/5 | -0.4 | 25 | F | 1.0 | WIN | LOSS | |
| 848 | MLB | Daulton Varsho 10 games | TOR vs TOR@SDP | H | 0.5 | -165 | 0.4 | -0.1 | 1/5 | +0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Daylen Lile 10 games | WSH vs NYY@WSN | H | 0.5 | -179 | 0.4 | -0.1 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Ivan Herrera 10 games | STL vs ATL@STL | H | 0.5 | -220 | 0.4 | -0.1 | 1/5 | -0.1 | 23 | F | 1.0 | WIN | LOSS |
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.