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 | Romy Gonzalez 10 games | BOS vs TBR@BOS | RBI | 0.5 | +193 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 702 | MLB | Ryan Jeffers 3 games | MIN vs MIN@CHC | H | 1.5 | +195 | 1 | -0.5 | 0/3 | +0 | 29 | F | 1.0 | LOSS | WIN | |
| 703 | MLB | Ryan Jeffers 3 games | MIN vs MIN@CHC | HR | 0.5 | +375 | 0 | -0.5 | 0/3 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 704 | MLB | Ryan Waldschmidt 10 games | AZ vs STL@ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 705 | MLB | Sal Stewart 10 games | NL vs CIN@COL | HR | 0.5 | +360 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 706 | MLB | Salvador Perez 10 games | KC vs SDP@KCR | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 707 | MLB | Shea Langeliers 10 games | AL vs WSN@ATHLET | H | 1.5 | +190 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 1.0 | LOSS | WIN | |
| 708 | MLB | Spencer Steer 10 games | CIN vs CIN@COL | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 709 | MLB | Steven Kwan 10 games | CLE vs PIT@CLE | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 710 | MLB | Taylor Walls 10 games | TB vs TBR@BOS | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 711 | MLB | Teoscar Hernandez 10 games | LAD vs LAD@NYY | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 712 | MLB | Teoscar Hernandez 10 games | LAD vs LAD@NYY | RBI | 0.5 | +202 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 713 | MLB | TJ Friedl 10 games | CIN vs CIN@COL | RBI | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 714 | MLB | TJ Rumfield 10 games | COL vs CIN@COL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 715 | MLB | TJ Rumfield 10 games | COL vs CIN@COL | RBI | 0.5 | +148 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 716 | MLB | Tommy Edman 10 games | LAD vs LAD@NYY | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 717 | MLB | Travis Bazzana 10 games | AL vs PIT@CLE | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 718 | MLB | Troy Johnston 10 games | COL vs CIN@COL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 719 | MLB | Troy Johnston 10 games | COL vs CIN@COL | RBI | 0.5 | +170 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 720 | MLB | Tsung-Che Cheng 10 games | BOS vs TBR@BOS | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 721 | MLB | Tyler Stephenson 10 games | CIN vs CIN@COL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 722 | MLB | Tyler Stephenson 10 games | CIN vs CIN@COL | RBI | 0.5 | +151 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 723 | MLB | Victor Robles 10 games | SEA vs SFG@SEA | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 724 | MLB | Vinnie Pasquantino 10 games | KC vs SDP@KCR | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 725 | MLB | William Contreras 10 games | NL vs MIA@MIL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 726 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | H | 1.5 | +180 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 727 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 728 | MLB | Yandy Diaz 10 games | AL vs TBR@BOS | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 729 | MLB | Yandy Diaz 10 games | AL vs TBR@BOS | RBI | 0.5 | +185 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 730 | MLB | Zach Neto 10 games | LAA vs DET@LAA | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 731 | MLB | Zach Neto 10 games | LAA vs DET@LAA | RBI | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 732 | MLB | Austin Riley 10 games | ATL vs TEX@ATL | H | 0.5 | -170 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 2.0 | WIN | LOSS | |
| 733 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | H | 0.5 | -109 | 0 | -0.5 | 0/5 | -0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 734 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | H | 0.5 | -163 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 735 | MLB | Jeff McNeil 10 games | OAK vs WSN@ATHLET | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | — | PENDING | PENDING | |
| 736 | MLB | Jonny Deluca 10 games | TB vs TBR@BOS | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 2.0 | WIN | LOSS | |
| 737 | MLB | Jung Hoo Lee 10 games | SF vs SFG@SEA | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 3.0 | WIN | LOSS | |
| 738 | MLB | Lars Nootbaar 10 games | STL vs STL@ARI | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 739 | MLB | Lawrence Butler 10 games | OAK vs WSN@ATHLET | H | 0.5 | -202 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 740 | MLB | Masyn Winn 10 games | STL vs STL@ARI | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 741 | MLB | Ozzie Albies 10 games | NL vs TEX@ATL | H | 0.5 | -234 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 2.0 | WIN | LOSS | |
| 742 | MLB | Ryan Vilade 10 games | TB vs TBR@BOS | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 743 | MLB | Sung-Mun Song 10 games | SD vs SDP@KCR | H | 0.5 | -160 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 0.0 | LOSS | WIN | |
| 744 | MLB | Travis Bazzana 10 games | AL vs PIT@CLE | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | — | PENDING | PENDING | |
| 745 | MLB | Tyler Soderstrom 10 games | OAK vs WSN@ATHLET | H | 0.5 | -250 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 746 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYY | H | 0.5 | -142 | 0.6 | +0.1 | 1/5 | -0.8 | 27 | F | 0.0 | LOSS | WIN | |
| 747 | MLB | Elias Diaz 10 games | TEX vs TEX@ATL | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.4 | 27 | F | 1.0 | WIN | LOSS | |
| 748 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | RBI | 0.5 | +170 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 749 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | -0.9 | 26 | F | 0.0 | LOSS | WIN | |
| 750 | MLB | JJ Wetherholt 10 games | STL vs STL@ARI | H | 1.5 | +194 | 0.4 | -1.1 | 1/5 | -1 | 26 | F | 2.0 | 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.