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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 501 | MLB | Isaac Collins 10 games | KC vs KCR@DET | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 502 | MLB | James Outman 10 games | DET vs KCR@DET | RBI | 0.5 | +262 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 503 | MLB | JJ Bleday 10 games | CIN vs CIN@STL | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 504 | MLB | JJ Wetherholt 10 games | STL vs CIN@STL | R | 1.5 | +550 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 505 | MLB | Joe Mack 10 games | MIA vs SDP@MIA | RBI | 1.5 | +700 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 506 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | — | PENDING | PENDING | |
| 507 | MLB | Jonny Deluca 10 games | TB vs CLE@TBR | RBI | 1.5 | +700 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 508 | MLB | Jordan Walker 10 games | STL vs CIN@STL | TB | 1.5 | +105 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 509 | MLB | Jose Siri 10 games | LAA vs LAA@SFG | H | 1.5 | +500 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 510 | MLB | Jose Siri 10 games | LAA vs LAA@SFG | TB | 1.5 | +200 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 511 | MLB | Julio Rodriguez 4 games | SEA vs SEA@TEX | H | 0.5 | -190 | 0.8 | +0.3 | 3/4 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 512 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | RBI | 0.5 | +184 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 513 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | H | 0.5 | -375 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 514 | MLB | Kody Clemens 10 games | MIN vs Athletics@ | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 3.0 | WIN | LOSS | |
| 515 | MLB | Kyle Karros 10 games | COL vs COL@MIL | H | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 516 | MLB | Kyle Karros 10 games | COL vs COL@MIL | TB | 1.5 | +250 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 517 | MLB | Kyle Schwarber 10 games | PHI vs NYY@PHI | TB | 1.5 | +115 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 518 | MLB | Luis Arraez 10 games | SF vs LAA@SFG | H | 1.5 | +158 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 519 | MLB | Luis Lara 10 games | MIL vs COL@MIL | RBI | 0.5 | +200 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 520 | MLB | Luke Keaschall 10 games | MIN vs Athletics@ | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 521 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | TB | 2.5 | +180 | 2.4 | -0.1 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 522 | MLB | Mike Trout 10 games | LAA vs LAA@SFG | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 4.0 | WIN | LOSS | |
| 523 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | TB | 1.5 | +125 | 2.4 | +0.9 | 1/5 | -0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 524 | MLB | Nolan Arenado 10 games | AZ vs ARI@WSN | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 525 | MLB | Pete Alonso 10 games | BAL vs ATL@BAL | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 526 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@PIT | RBI | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 527 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | H | 1.5 | +320 | 1.4 | -0.1 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 528 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | R | 1.5 | +800 | 1 | -0.5 | 2/5 | +1 | 40 | F | 0.0 | LOSS | WIN | |
| 529 | MLB | Riley Greene 10 games | DET vs KCR@DET | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 530 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | RBI | 0.5 | +230 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 1.0 | WIN | LOSS | |
| 531 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | TB | 1.5 | +170 | 1.6 | +0.1 | 1/5 | +0.8 | 40 | F | 3.0 | WIN | LOSS | |
| 532 | MLB | Sal Stewart 10 games | CIN vs CIN@STL | TB | 1.5 | +114 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 533 | MLB | Salvador Perez 10 games | KC vs KCR@DET | H | 0.5 | -225 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 534 | MLB | Seiya Suzuki 10 games | CHC vs CHC@PIT | H | 0.5 | -209 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 535 | MLB | Starling Marte 10 games | KC vs KCR@DET | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 536 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | H | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 537 | MLB | Trea Turner 10 games | PHI vs NYY@PHI | RBI | 0.5 | +199 | 1 | +0.5 | 1/5 | -0.8 | 40 | F | 1.0 | WIN | LOSS | |
| 538 | MLB | Xander Bogaerts 10 games | SD vs SDP@MIA | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | — | PENDING | PENDING | |
| 539 | MLB | Yordan Alvarez 10 games | HOU vs HOU@CHW | R | 1.5 | +360 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 540 | MLB | Alec Bohm 10 games | PHI vs NYY@PHI | H | 0.5 | -220 | 1 | +0.5 | 2/5 | -0.3 | 39 | F | 1.0 | WIN | LOSS | |
| 541 | MLB | Alex Bregman 10 games | CHC vs CHC@PIT | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.8 | 39 | F | — | PENDING | PENDING | |
| 542 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | TB | 1.5 | +155 | 1.8 | +0.3 | 2/5 | -1.2 | 39 | F | 1.0 | LOSS | WIN | |
| 543 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | H | 1.5 | +260 | 1.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 544 | MLB | Enmanuel Valdez 10 games | PIT vs CHC@PIT | RBI | 0.5 | +140 | 0.8 | +0.3 | 2/5 | -0.9 | 39 | F | 2.0 | WIN | LOSS | |
| 545 | MLB | Esmerlyn Valdez 10 games | PIT vs CHC@PIT | RBI | 0.5 | +163 | 0.8 | +0.3 | 2/5 | -0.9 | 39 | F | 2.0 | WIN | LOSS | |
| 546 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | RBI | 0.5 | +201 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 547 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | TB | 1.5 | -114 | 2 | +0.5 | 2/5 | -2.1 | 39 | F | 0.0 | LOSS | WIN | |
| 548 | MLB | Jacob Young 10 games | WSH vs ARI@WSN | TB | 1.5 | +165 | 1.8 | +0.3 | 2/5 | -1 | 39 | F | 3.0 | WIN | LOSS | |
| 549 | MLB | Michael Busch 10 games | CHC vs CHC@PIT | TB | 1.5 | +130 | 1.8 | +0.3 | 2/5 | -1.2 | 39 | F | 3.0 | WIN | LOSS | |
| 550 | MLB | Miguel Vargas 10 games | CWS vs HOU@CHW | TB | 1.5 | +125 | 1.6 | +0.1 | 2/5 | -1.5 | 39 | F | 4.0 | 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.