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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1501 | MLB | Petey Halpin 10 games | CLE vs CLE@CIN | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1502 | MLB | Petey Halpin 10 games | CLE vs CLE@CIN | RBI | 0.5 | +282 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1503 | MLB | Riley Greene 10 games | DET vs BAL@DET | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1504 | MLB | Riley Greene 10 games | DET vs BAL@DET | R | 1.5 | +500 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1505 | MLB | Riley Greene 10 games | DET vs BAL@DET | TB | 2.5 | +180 | 1.2 | -1.3 | 1/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 1506 | MLB | Romy Gonzalez 10 games | BOS vs BOS@Athlet | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1507 | MLB | Royce Lewis 10 games | MIN vs KCR@MIN | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1508 | MLB | Royce Lewis 10 games | MIN vs KCR@MIN | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1509 | MLB | Ryan Kreidler 10 games | MIN vs KCR@MIN | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1510 | MLB | Ryan O'Hearn 10 games | PIT vs ARI@PIT | R | 1.5 | +800 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1511 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@PIT | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1512 | MLB | Sal Stewart 10 games | CIN vs CLE@CIN | R | 1.5 | +500 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1513 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | H | 1.5 | +260 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 2.0 | WIN | LOSS | |
| 1514 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 1515 | MLB | Sam Antonacci 10 games | CWS vs NYY@CHW | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1516 | MLB | Sam Antonacci 10 games | CWS vs NYY@CHW | RBI | 0.5 | +262 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1517 | MLB | Sam Huff 10 games | BAL vs BAL@DET | R | 0.5 | +180 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1518 | MLB | Sam Huff 10 games | BAL vs BAL@DET | RBI | 0.5 | +275 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1519 | MLB | Seiya Suzuki 10 games | CHC vs CHC@STL | H | 1.5 | +220 | 0.8 | -0.7 | 0/5 | +0.1 | 29 | F | 3.0 | WIN | LOSS | |
| 1520 | MLB | Seiya Suzuki 10 games | CHC vs CHC@STL | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 1521 | MLB | Shohei Ohtani 10 games | LAD vs SEA@LAD | HR | 0.5 | +220 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1522 | MLB | Spencer Torkelson 10 games | DET vs BAL@DET | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1523 | MLB | Spencer Torkelson 10 games | DET vs BAL@DET | TB | 1.5 | +140 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1524 | MLB | Steven Kwan 10 games | CLE vs CLE@CIN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1525 | MLB | Taylor Ward 10 games | BAL vs BAL@DET | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1526 | MLB | Taylor Ward 10 games | BAL vs BAL@DET | R | 0.5 | +135 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1527 | MLB | Tim Tawa 10 games | AZ vs ARI@PIT | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1528 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | H | 0.5 | -120 | 0.4 | -0.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1529 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | H | 1.5 | +400 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1530 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1531 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | RBI | 0.5 | +261 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1532 | MLB | TJ Friedl 10 games | CIN vs CLE@CIN | TB | 1.5 | +220 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1533 | MLB | TJ Rumfield 10 games | COL vs COL@SDP | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1534 | MLB | Tommy Edman 10 games | LAD vs SEA@LAD | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1535 | MLB | Tommy White 9 games | ATH vs BOS@Athlet | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1536 | MLB | Tommy White 9 games | ATH vs BOS@Athlet | RBI | 0.5 | +239 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1537 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | H | 1.5 | +320 | 0.4 | -1.1 | 1/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1538 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1539 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1540 | MLB | Travis Bazzana 10 games | CLE vs CLE@CIN | RBI | 0.5 | +196 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1541 | MLB | Trea Turner 10 games | PHI vs PHI@MIA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1542 | MLB | Trea Turner 10 games | PHI vs PHI@MIA | TB | 1.5 | +121 | 1.2 | -0.3 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 1543 | MLB | Trent Grisham 10 games | NYY vs NYY@CHW | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1544 | MLB | Trent Grisham 10 games | NYY vs NYY@CHW | RBI | 0.5 | +191 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1545 | MLB | Trevor Larnach 10 games | MIN vs KCR@MIN | R | 1.5 | +500 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1546 | MLB | Tristan Peters 10 games | CWS vs NYY@CHW | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1547 | MLB | Tristan Peters 10 games | CWS vs NYY@CHW | R | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1548 | MLB | Tristan Peters 10 games | CWS vs NYY@CHW | RBI | 0.5 | +262 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1549 | MLB | Troy Johnston 10 games | COL vs COL@SDP | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1550 | MLB | Troy Johnston 10 games | COL vs COL@SDP | R | 0.5 | +195 | 0 | -0.5 | 0/5 | -0.1 | 29 | 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.