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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 701 | MLB | Gavin Sheets 10 games | SD vs ARI@SDP | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 702 | MLB | George Springer 10 games | TOR vs TOR@SFG | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 703 | MLB | George Springer 10 games | TOR vs TOR@SFG | RBI | 0.5 | +239 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 704 | MLB | Griffin Conine 10 games | MIA vs SEA@MIA | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 705 | MLB | Griffin Conine 10 games | MIA vs SEA@MIA | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 706 | MLB | Gunnar Henderson 10 games | BAL vs CHC@BAL | H | 1.5 | +194 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 707 | MLB | Gunnar Henderson 10 games | BAL vs CHC@BAL | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 708 | MLB | Hunter Goodman 10 games | COL vs COL@LAD | HR | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 709 | MLB | Ian Happ 10 games | CHC vs CHC@BAL | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 710 | MLB | Ian Happ 10 games | CHC vs CHC@BAL | RBI | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 711 | MLB | Ivan Herrera 10 games | STL vs MIL@STL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 712 | MLB | J.P. Crawford 10 games | SEA vs SEA@MIA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 713 | MLB | J.P. Crawford 10 games | SEA vs SEA@MIA | RBI | 0.5 | +270 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 714 | MLB | Jac Caglianone 10 games | KC vs KCR@NYM | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 715 | MLB | Jackson Holliday 10 games | BAL vs CHC@BAL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Jackson Holliday 10 games | BAL vs CHC@BAL | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 717 | MLB | Jacob Wilson 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 718 | MLB | Jacob Wilson 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 719 | MLB | Jacob Young 10 games | WSH vs HOU@WSN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 720 | MLB | Jahmai Jones 10 games | DET vs ATHLETICS@ | H | 0.5 | -119 | 0.2 | -0.3 | 1/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 721 | MLB | Jahmai Jones 10 games | DET vs ATHLETICS@ | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 722 | MLB | Jahmai Jones 10 games | DET vs ATHLETICS@ | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 723 | MLB | Jake Mangum 10 games | PIT vs ATL@PIT | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 724 | MLB | James Jarvis 4 games | vs ATL@PIT | HR | 0.5 | +1000 | 0 | -0.5 | 0/4 | +0 | 29 | F | — | PENDING | PENDING | |
| 725 | MLB | Jared Triolo 10 games | PIT vs ATL@PIT | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 726 | MLB | Jared Young 10 games | NYM vs KCR@NYM | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 727 | MLB | Javier Sanoja 9 games | MIA vs SEA@MIA | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 728 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@TBR | H | 1.5 | +450 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | — | PENDING | PENDING | |
| 729 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@TBR | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 730 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@TBR | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 731 | MLB | Jeff McNeil 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | JJ Bleday 10 games | CIN vs PHI@CIN | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 733 | MLB | JJ Bleday 10 games | CIN vs PHI@CIN | RBI | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 734 | MLB | Jo Adell 10 games | LAA vs LAA@TEX | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 735 | MLB | Joc Pederson 10 games | TEX vs LAA@TEX | RBI | 0.5 | +205 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 736 | MLB | Jonathan Aranda 10 games | TB vs NYY@TBR | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 737 | MLB | Jonathan Aranda 10 games | TB vs NYY@TBR | RBI | 0.5 | +211 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 3.0 | WIN | LOSS | |
| 738 | MLB | Jorge Mateo 9 games | ATL vs ATL@PIT | RBI | 0.5 | +335 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 739 | MLB | Jorge Polanco 1 games | NYM vs KCR@NYM | HR | 0.5 | +500 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 740 | MLB | Jorge Soler 10 games | LAA vs LAA@TEX | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 741 | MLB | Jose Fermin 8 games | STL vs MIL@STL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 742 | MLB | Josh Kuroda-Grauer 7 games | vs ATHLETICS@ | RBI | 0.5 | +250 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 743 | MLB | Josh Naylor 10 games | SEA vs SEA@MIA | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 744 | MLB | Josh Rojas 10 games | KC vs KCR@NYM | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 745 | MLB | Jung Hoo Lee 10 games | SF vs TOR@SFG | H | 1.5 | +260 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 746 | MLB | Jung Hoo Lee 10 games | SF vs TOR@SFG | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Junior Caminero 10 games | TB vs NYY@TBR | H | 1.5 | +200 | 0.6 | -0.9 | 1/5 | -1 | 29 | F | 0.0 | LOSS | WIN | |
| 748 | MLB | Justin Crawford 10 games | PHI vs PHI@CIN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 749 | MLB | Justin Crawford 10 games | PHI vs PHI@CIN | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 750 | MLB | Kameron Misner 10 games | KC vs KCR@NYM | H | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.2 | 29 | 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.