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 | Kyle Schwarber 10 games | PHI vs PHI@STL | H | 1.5 | +300 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 502 | MLB | Lawrence Butler 10 games | ATH vs TBR@Athlet | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 4.0 | WIN | LOSS | |
| 503 | MLB | Luis Rengifo 10 games | SD vs MIL@SDP | RBI | 0.5 | +289 | 0.8 | +0.3 | 1/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 504 | MLB | Luis Rengifo 10 games | SD vs MIL@SDP | TB | 1.5 | +240 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 1.0 | LOSS | WIN | |
| 505 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | RBI | 0.5 | +206 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 1.0 | WIN | LOSS | |
| 506 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 507 | MLB | Masyn Winn 10 games | STL vs PHI@STL | H | 1.5 | +360 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 508 | MLB | Miguel Vargas 10 games | CWS vs CIN@CHW | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | — | PENDING | PENDING | |
| 509 | MLB | Miguel Vargas 10 games | CWS vs CIN@CHW | TB | 1.5 | +130 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | — | PENDING | PENDING | |
| 510 | MLB | Nick Gonzales 10 games | PIT vs PIT@MIA | RBI | 0.5 | +239 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 511 | MLB | Otto Lopez 10 games | MIA vs PIT@MIA | H | 1.5 | +195 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 512 | MLB | Ozzie Albies 10 games | ATL vs NYM@ATL | H | 0.5 | -254 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 513 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | RBI | 1.5 | +450 | 1.2 | -0.3 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 514 | MLB | Ronny Simon 6 games | PIT vs PIT@MIA | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 515 | MLB | Seiya Suzuki 10 games | CHC vs CHC@WSN | RBI | 1.5 | +475 | 0.8 | -0.7 | 2/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 516 | MLB | Starling Marte 10 games | KC vs KCR@LAD | TB | 1.5 | +180 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 517 | MLB | Taylor Trammell 10 games | HOU vs HOU@SFG | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 518 | MLB | Taylor Walls 10 games | TB vs TBR@Athlet | RBI | 1.5 | +700 | 1 | -0.5 | 2/5 | +1 | 40 | F | 0.0 | LOSS | WIN | |
| 519 | MLB | Taylor Ward 10 games | SEA vs SEA@NYY | H | 0.5 | -185 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 520 | MLB | Tommy Edman 10 games | LAD vs KCR@LAD | H | 0.5 | -225 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 521 | MLB | Trent Grisham 10 games | NYY vs SEA@NYY | H | 1.5 | +280 | 1 | -0.5 | 2/5 | +0.9 | 40 | F | 3.0 | WIN | LOSS | |
| 522 | MLB | Ty France 10 games | SD vs MIL@SDP | H | 1.5 | +280 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 523 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 524 | MLB | Tyler Stephenson 10 games | CIN vs CIN@CHW | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 525 | MLB | Willi Castro 10 games | COL vs COL@ARI | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 526 | MLB | Xavier Edwards 10 games | MIA vs PIT@MIA | H | 0.5 | -260 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 527 | MLB | Xavier Edwards 10 games | MIA vs PIT@MIA | RBI | 0.5 | +230 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 528 | MLB | Zack Gelof 10 games | ATH vs TBR@Athlet | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 529 | MLB | Zack Gelof 10 games | ATH vs TBR@Athlet | TB | 1.5 | +160 | 1.6 | +0.1 | 1/5 | +0.8 | 40 | F | 5.0 | WIN | LOSS | |
| 530 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | H | 0.5 | -143 | 0.8 | +0.3 | 3/5 | -0.8 | 39 | F | 1.0 | WIN | LOSS | |
| 531 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | RBI | 0.5 | +247 | 0.6 | +0.1 | 2/5 | -0.8 | 39 | F | 1.0 | WIN | LOSS | |
| 532 | MLB | Bryce Harper 10 games | PHI vs PHI@STL | RBI | 0.5 | +170 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 533 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | RBI | 0.5 | +256 | 0.6 | +0.1 | 2/5 | -1 | 39 | F | 1.0 | WIN | LOSS | |
| 534 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@TOR | R | 0.5 | +136 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 535 | MLB | Dillon Dingler 10 games | DET vs CLE@DET | R | 0.5 | +110 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 1.0 | WIN | LOSS | |
| 536 | MLB | Elly De La Cruz 10 games | CIN vs CIN@CHW | TB | 1.5 | +108 | 1.8 | +0.3 | 2/5 | -1.2 | 39 | F | 0.0 | LOSS | WIN | |
| 537 | MLB | Geraldo Perdomo 10 games | AZ vs COL@ARI | TB | 1.5 | +135 | 1.8 | +0.3 | 2/5 | -0.9 | 39 | F | 2.0 | WIN | LOSS | |
| 538 | MLB | Henry Davis 10 games | PIT vs PIT@MIA | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.4 | 39 | F | 0.0 | LOSS | WIN | |
| 539 | MLB | Jimmy Crooks 10 games | STL vs PHI@STL | TB | 1.5 | +260 | 1.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 540 | MLB | Joey Ortiz 10 games | MIL vs MIL@SDP | TB | 1.5 | +220 | 1.6 | +0.1 | 2/5 | -0.9 | 39 | F | 1.0 | LOSS | WIN | |
| 541 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | TB | 1.5 | +100 | 1.8 | +0.3 | 2/5 | -0.7 | 39 | F | 1.0 | LOSS | WIN | |
| 542 | MLB | Jordan Walker 10 games | STL vs PHI@STL | TB | 1.5 | +150 | 1.6 | +0.1 | 2/5 | -0.6 | 39 | F | 2.0 | WIN | LOSS | |
| 543 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | TB | 1.5 | +140 | 1.6 | +0.1 | 2/5 | -1.2 | 39 | F | — | PENDING | PENDING | |
| 544 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | TB | 1.5 | +145 | 1.6 | +0.1 | 2/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 545 | MLB | Myles Straw 10 games | TOR vs BOS@TOR | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.2 | 39 | F | 2.0 | WIN | LOSS | |
| 546 | MLB | Robbie Ray 10 games | SD vs MIL@SDP | K | 4.5 | -142 | 4.6 | +0.1 | 3/5 | -0.8 | 39 | F | 4.0 | LOSS | WIN | |
| 547 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | TB | 1.5 | +130 | 1.6 | +0.1 | 2/5 | -1.4 | 39 | F | 2.0 | WIN | LOSS | |
| 548 | MLB | Alan Roden 10 games | MIN vs BAL@MIN | RBI | 0.5 | +273 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 549 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | RBI | 0.5 | +202 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 550 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | TB | 1.5 | +150 | 1 | -0.5 | 2/5 | -0.1 | 37 | 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.