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 | Dalton Rushing 10 games | LAD vs LAD@NYM | RBI | 0.5 | +230 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 552 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 553 | MLB | Daylen Lile 10 games | WSH vs ARI@WSN | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 554 | MLB | Dominic Canzone 10 games | SEA vs SEA@TEX | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 555 | MLB | Donovan Walton 10 games | ATH vs Athletics@ | TB | 1.5 | +145 | 1 | -0.5 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 556 | MLB | Gabriel Moreno 10 games | AZ vs ARI@WSN | R | 1.5 | +700 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@WSN | H | 0.5 | -260 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 558 | MLB | Hao-Yu Lee 10 games | DET vs KCR@DET | RBI | 0.5 | +175 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 559 | MLB | Hao-Yu Lee 10 games | DET vs KCR@DET | TB | 1.5 | +140 | 1.6 | +0.1 | 1/5 | +0.7 | 40 | F | 3.0 | WIN | LOSS | |
| 560 | MLB | Jac Caglianone 10 games | KC vs KCR@DET | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 561 | MLB | James Jarvis 10 games | vs ATL@BAL | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 562 | MLB | JJ Bleday 10 games | CIN vs CIN@STL | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 563 | MLB | JJ Wetherholt 10 games | STL vs CIN@STL | H | 0.5 | -240 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | JJ Wetherholt 10 games | STL vs CIN@STL | TB | 1.5 | +135 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 565 | MLB | Jo Adell 10 games | LAA vs LAA@SFG | H | 1.5 | +300 | 0.8 | -0.7 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 566 | MLB | Jo Adell 10 games | LAA vs LAA@SFG | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 567 | MLB | Joc Pederson 10 games | TEX vs SEA@TEX | H | 1.5 | +320 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 1.0 | LOSS | WIN | |
| 568 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 569 | MLB | Jonathan Aranda 10 games | TB vs CLE@TBR | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 570 | MLB | Jonny Deluca 10 games | TB vs CLE@TBR | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 571 | MLB | Jose Altuve 10 games | HOU vs HOU@CHW | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 3.0 | WIN | LOSS | |
| 572 | MLB | Josh Jung 10 games | TEX vs SEA@TEX | H | 0.5 | -188 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | — | PENDING | PENDING | |
| 573 | MLB | Julio Rodriguez 4 games | SEA vs SEA@TEX | H | 0.5 | -235 | 0.8 | +0.3 | 3/4 | +0.3 | 40 | F | — | PENDING | PENDING | |
| 574 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | TB | 2.5 | +160 | 2 | -0.5 | 2/5 | +1.1 | 40 | F | 1.0 | LOSS | WIN | |
| 575 | MLB | Kyle Karros 10 games | COL vs COL@MIL | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 576 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | H | 0.5 | -170 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Lawrence Butler 10 games | ATH vs Athletics@ | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 578 | MLB | Leody Taveras 10 games | BAL vs ATL@BAL | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 579 | MLB | Liam Hicks 10 games | MIA vs SDP@MIA | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 580 | MLB | Max Muncy 10 games | ATH vs LAD@NYM | RBI | 1.5 | +500 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | — | PENDING | PENDING | |
| 581 | MLB | Miguel Rojas 10 games | LAD vs LAD@NYM | H | 0.5 | -176 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 582 | MLB | Mike Trout 10 games | LAA vs LAA@SFG | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 583 | MLB | Mookie Betts 10 games | LAD vs LAD@NYM | RBI | 0.5 | +163 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 584 | MLB | Nick Fortes 10 games | TB vs CLE@TBR | H | 1.5 | +450 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 4.0 | WIN | LOSS | |
| 585 | MLB | Nick Fortes 10 games | TB vs CLE@TBR | R | 1.5 | +1300 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 586 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | TB | 2.5 | +220 | 2.2 | -0.3 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 587 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@PIT | TB | 1.5 | +123 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 6.0 | WIN | LOSS | |
| 588 | MLB | Petey Halpin 10 games | CLE vs CLE@TBR | TB | 1.5 | +240 | 2.4 | +0.9 | 1/5 | -1.3 | 40 | F | 0.0 | LOSS | WIN | |
| 589 | MLB | Rafael Devers 10 games | SF vs LAA@SFG | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 590 | MLB | Randy Arozarena 10 games | SEA vs SEA@TEX | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 591 | MLB | Rhys Hoskins 10 games | CLE vs CLE@TBR | TB | 1.5 | +180 | 1.6 | +0.1 | 1/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 592 | MLB | Royce Lewis 10 games | MIN vs Athletics@ | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | RBI | 0.5 | +250 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | — | PENDING | PENDING | |
| 594 | MLB | Sean Manaea 10 games | NYM vs LAD@NYM | K | 5.5 | +125 | 5 | -0.5 | 2/5 | +0.8 | 40 | F | 3.0 | LOSS | WIN | |
| 595 | MLB | Seiya Suzuki 10 games | CHC vs CHC@PIT | RBI | 1.5 | +600 | 1 | -0.5 | 2/5 | +0.9 | 40 | F | 1.0 | LOSS | WIN | |
| 596 | MLB | Shane Drohan 10 games | MIL vs COL@MIL | K | 6.5 | +160 | 5.8 | -0.7 | 2/5 | +0.8 | 40 | F | 6.0 | LOSS | WIN | |
| 597 | MLB | Taylor Walls 10 games | TB vs CLE@TBR | H | 1.5 | +550 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | — | PENDING | PENDING | |
| 598 | MLB | Taylor Ward 10 games | BAL vs ATL@BAL | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 599 | MLB | Tim Tawa 10 games | AZ vs ARI@WSN | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 2.0 | WIN | LOSS | |
| 600 | MLB | Tommy White 5 games | ATH vs Athletics@ | H | 1.5 | +260 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 1.0 | 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.