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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | MLB | Jeff McNeil 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +185 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 552 | MLB | Jeremy Pena 10 games | HOU vs BAL@HOU | H | 1.5 | +180 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 553 | MLB | Jeremy Pena 10 games | HOU vs BAL@HOU | RBI | 0.5 | +215 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 554 | MLB | Jimmy Crooks 10 games | STL vs STL@ARI | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 555 | MLB | JJ Wetherholt 10 games | STL vs STL@ARI | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 556 | MLB | JJ Wetherholt 10 games | STL vs STL@ARI | RBI | 0.5 | +206 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Joc Pederson 10 games | TEX vs TEX@ATL | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 558 | MLB | Joey Bart 10 games | ATL vs TEX@ATL | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 559 | MLB | Joey Bart 10 games | ATL vs TEX@ATL | RBI | 0.5 | +270 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 560 | MLB | Joey Ortiz 10 games | MIL vs MIA@MIL | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 561 | MLB | Joey Ortiz 10 games | MIL vs MIA@MIL | RBI | 0.5 | +261 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 562 | MLB | Jonatan Clase 7 games | TOR vs CHW@TOR | H | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 563 | MLB | Jonatan Clase 7 games | TOR vs CHW@TOR | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | Jonatan Clase 7 games | TOR vs CHW@TOR | RBI | 1.5 | +900 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 565 | MLB | Jonathan Aranda 10 games | TB vs TBR@BOS | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 566 | MLB | Jonny Deluca 10 games | TB vs TBR@BOS | RBI | 0.5 | +188 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 567 | MLB | Jorge Soler 10 games | LAA vs DET@LAA | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 568 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 569 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 570 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | RBI | 0.5 | +222 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 571 | MLB | Jose Siri 10 games | LAA vs DET@LAA | RBI | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 572 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | H | 1.5 | +240 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 573 | MLB | Josh Jung 10 games | TEX vs TEX@ATL | H | 1.5 | +193 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 574 | MLB | Josh Lowe 10 games | LAA vs DET@LAA | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 575 | MLB | Josh Rojas 10 games | KC vs SDP@KCR | RBI | 0.5 | +213 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 576 | MLB | Jung Hoo Lee 10 games | SF vs SFG@SEA | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Kahlil Watson 10 games | CLE vs PIT@CLE | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 578 | MLB | Keibert Ruiz 10 games | WSH vs WSN@ATHLET | H | 1.5 | +260 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 579 | MLB | Keibert Ruiz 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 580 | MLB | Kevin McGonigle 10 games | DET vs DET@LAA | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 581 | MLB | Kevin McGonigle 10 games | DET vs DET@LAA | RBI | 0.5 | +195 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 582 | MLB | Kyle Karros 10 games | COL vs CIN@COL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 583 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 584 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 585 | MLB | Kyle Schwarber 10 games | PHI vs NYM@PHI | RBI | 0.5 | +128 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 586 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 587 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 588 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | RBI | 0.5 | +211 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 589 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | H | 1.5 | +300 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 590 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs STL@ARI | RBI | 0.5 | +179 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 591 | MLB | Luis Campusano 9 games | SD vs SDP@KCR | RBI | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 592 | MLB | Luis Garcia Jr. 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Luis Lara 5 games | MIL vs MIA@MIL | RBI | 0.5 | +241 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 594 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | RBI | 0.5 | +253 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 595 | MLB | Luke Raley 10 games | SEA vs SFG@SEA | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 596 | MLB | Manny Machado 10 games | SD vs SDP@KCR | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 597 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 598 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 599 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | RBI | 0.5 | +249 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 600 | MLB | Marcus Semien 10 games | NYM vs NYM@PHI | RBI | 0.5 | +230 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | 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.