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 | Francisco Lindor 10 games | NYM vs BOS@NYM | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 802 | MLB | Henry Bolte 10 games | OAK vs ATHLETICS@ | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | J.P. Crawford 10 games | SEA vs SEA@TBR | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | +0.1 | 28 | F | 2.0 | WIN | LOSS | |
| 804 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@MIN | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | — | PENDING | PENDING | |
| 805 | MLB | Miguel Andujar 10 games | SD vs TOR@SDP | H | 0.5 | -165 | 0.6 | +0.1 | 1/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 806 | MLB | Samuel Basallo 10 games | BAL vs KCR@BAL | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 807 | MLB | Xander Bogaerts 10 games | SD vs TOR@SDP | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 808 | MLB | Brian Navarreto 5 games | MIA vs CLE@MIA | H | 0.5 | -132 | 0.4 | -0.1 | 1/5 | +0.3 | 27 | F | — | PENDING | PENDING | |
| 809 | MLB | Gavin Sheets 10 games | SD vs TOR@SDP | H | 0.5 | -145 | 0.4 | -0.1 | 2/5 | -0.7 | 27 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Troy Johnston 10 games | COL vs COL@SFG | H | 0.5 | -132 | 0.2 | -0.3 | 1/5 | -0.3 | 27 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | RBI | 0.5 | +174 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | RBI | 0.5 | +206 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 1.0 | WIN | LOSS | |
| 813 | MLB | Gunnar Henderson 10 games | BAL vs KCR@BAL | H | 1.5 | +180 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 814 | MLB | Javier Sanoja 9 games | MIA vs CLE@MIA | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Nathan Church 10 games | STL vs ATL@STL | RBI | 0.5 | +340 | 0 | -0.5 | 0/5 | -0.8 | 26 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@WSN | H | 1.5 | +181 | 0 | -1.5 | 0/5 | +0 | 26 | F | 2.0 | WIN | LOSS | |
| 817 | MLB | Shohei Ohtani 6 games | LAD vs ARI@LAD | K | 6.5 | +118 | 1.4 | -5.1 | 0/5 | +0 | 26 | F | 2.0 | LOSS | WIN | |
| 818 | MLB | William Contreras 10 games | MIL vs MIL@PIT | H | 1.5 | +201 | 0.4 | -1.1 | 1/5 | -0.6 | 26 | F | — | PENDING | PENDING | |
| 819 | MLB | Andrés Chaparro 10 games | WSH vs NYY@WSN | H | 0.5 | -140 | 0.2 | -0.3 | 1/5 | -0.3 | 25 | F | 1.0 | WIN | LOSS | |
| 820 | MLB | Cole Young 10 games | SEA vs SEA@TBR | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 821 | MLB | Colton Cowser 10 games | BAL vs KCR@BAL | H | 0.5 | -150 | 0.2 | -0.3 | 1/5 | -0.3 | 25 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Daulton Varsho 10 games | TOR vs TOR@SDP | H | 0.5 | -150 | 0.4 | -0.1 | 1/5 | +0.2 | 25 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Drew Cavanaugh 10 games | SF vs COL@SFG | H | 0.5 | -140 | 0.4 | -0.1 | 1/5 | +0.1 | 25 | F | 1.0 | WIN | LOSS | |
| 824 | MLB | Dylan Beavers 8 games | BAL vs KCR@BAL | H | 0.5 | -140 | 0.4 | -0.1 | 1/5 | +0.3 | 25 | F | 1.0 | WIN | LOSS | |
| 825 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | H | 0.5 | -155 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 826 | MLB | Kahlil Watson 10 games | CLE vs CLE@MIA | H | 0.5 | -147 | 0.2 | -0.3 | 1/5 | -0.5 | 25 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Kerry Carpenter 10 games | DET vs PHI@DET | H | 0.5 | -176 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Kyle Teel 10 games | CWS vs ATHLETICS@ | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Mookie Betts 10 games | LAD vs ARI@LAD | H | 0.5 | -238 | 0.4 | -0.1 | 2/5 | -0.8 | 25 | F | 1.0 | WIN | LOSS | |
| 830 | MLB | Oswald Peraza 10 games | LAA vs LAA@MIN | H | 0.5 | -139 | 0.2 | -0.3 | 1/5 | +0.1 | 25 | F | 1.0 | WIN | LOSS | |
| 831 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | LaMonte Wade Jr. 7 games | HOU vs HOU@TEX | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.6 | 24 | F | 2.0 | WIN | LOSS | |
| 833 | MLB | Myles Straw 9 games | TOR vs TOR@SDP | H | 0.5 | -124 | 0 | -0.5 | 0/5 | -0.1 | 24 | F | 2.0 | WIN | LOSS | |
| 834 | MLB | Junior Caminero 10 games | TB vs SEA@TBR | H | 0.5 | -235 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 2.0 | WIN | LOSS | |
| 835 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIA | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Mickey Moniak 10 games | COL vs COL@SFG | H | 0.5 | -180 | 0.4 | -0.1 | 1/5 | -0.4 | 23 | F | 1.0 | WIN | LOSS | |
| 837 | MLB | Miguel Vargas 10 games | CWS vs ATHLETICS@ | H | 0.5 | -220 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 3.0 | WIN | LOSS | |
| 838 | MLB | Teoscar Hernandez 10 games | LAD vs ARI@LAD | H | 0.5 | -178 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Matt McLain 10 games | CIN vs CHC@CIN | H | 0.5 | -145 | 0 | -0.5 | 0/5 | -0.1 | 22 | F | — | PENDING | PENDING | |
| 840 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | H | 0.5 | -200 | 0 | -0.5 | 0/5 | -0.5 | 20 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.7 | 20 | F | 1.0 | WIN | LOSS | |
| 842 | MLB | Nick Kurtz 10 games | OAK vs ATHLETICS@ | H | 0.5 | -165 | 0 | -0.5 | 0/5 | -0.5 | 20 | F | — | PENDING | PENDING | |
| 843 | MLB | Trevor Larnach 10 games | MIN vs LAA@MIN | H | 0.5 | -195 | 0.4 | -0.1 | 1/5 | -1 | 20 | F | 2.0 | WIN | LOSS | |
| 844 | MLB | William Contreras 10 games | MIL vs MIL@PIT | H | 0.5 | -260 | 0.4 | -0.1 | 1/5 | -0.6 | 20 | F | — | PENDING | PENDING | |
| 845 | MLB | Ivan Herrera 10 games | STL vs ATL@STL | H | 0.5 | -177 | 0 | -0.5 | 0/5 | -0.6 | 17 | F | 2.0 | WIN | LOSS | |
| 846 | MLB | A.J. Ewing | NYM vs BOS@NYM | R | 0.5 | +115 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 847 | MLB | A.J. Ewing | NYM vs BOS@NYM | TB | 1.5 | +160 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 848 | MLB | Aaron Nola | PHI vs PHI@DET | K | 5.5 | +100 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 849 | MLB | Aaron Nola | PHI vs PHI@DET | Outs | 16.5 | -106 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 850 | MLB | Adley Rutschman | BAL vs KCR@BAL | R | 0.5 | +105 | — | — | — | — | 0 | 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.