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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451 | MLB | Luis Rengifo 10 games | SD vs MIL@SDP | H | 1.5 | +450 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 452 | MLB | Luis Rengifo 10 games | SD vs MIL@SDP | TB | 1.5 | +240 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 453 | MLB | Luke Keaschall 10 games | MIN vs BAL@MIN | R | 0.5 | +151 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 454 | MLB | MacKenzie Gore 10 games | TEX vs TEX@LAA | K | 6.5 | +105 | 5.8 | -0.7 | 2/5 | -0.4 | 37 | F | 9.0 | WIN | LOSS | |
| 455 | MLB | Manny Machado 10 games | SD vs MIL@SDP | R | 0.5 | +148 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 456 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 457 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | RBI | 1.5 | +600 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 458 | MLB | Masyn Winn 10 games | STL vs PHI@STL | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 459 | MLB | Masyn Winn 10 games | STL vs PHI@STL | RBI | 0.5 | +223 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 460 | MLB | Michael Harris II 10 games | ATL vs NYM@ATL | H | 1.5 | +230 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 461 | MLB | Michael Soroka 2 games | AZ vs COL@ARI | K | 4.5 | +112 | 3.5 | -1 | 1/2 | +0 | 37 | F | 4.0 | LOSS | WIN | |
| 462 | MLB | Mike Yastrzemski 10 games | ATL vs NYM@ATL | TB | 1.5 | +200 | 0.8 | -0.7 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 463 | MLB | Mookie Betts 10 games | LAD vs KCR@LAD | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 464 | MLB | Nathan Church 10 games | STL vs PHI@STL | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 465 | MLB | Nathan Church 10 games | STL vs PHI@STL | RBI | 0.5 | +236 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 466 | MLB | Nathan Church 10 games | STL vs PHI@STL | TB | 1.5 | +170 | 1.2 | -0.3 | 2/5 | -0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 467 | MLB | Nathan Lukes 10 games | TOR vs BOS@TOR | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 468 | MLB | Nick Sogard 10 games | BOS vs BOS@TOR | R | 1.5 | +600 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 469 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | HR | 0.5 | +700 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 470 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 471 | MLB | Rafael Devers 10 games | SF vs HOU@SFG | H | 1.5 | +280 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 472 | MLB | Royce Lewis 10 games | MIN vs BAL@MIN | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 473 | MLB | Ryan Waldschmidt 10 games | AZ vs COL@ARI | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 474 | MLB | Ryan Waldschmidt 10 games | AZ vs COL@ARI | TB | 1.5 | +190 | 1.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 475 | MLB | Starling Marte 10 games | KC vs KCR@LAD | R | 0.5 | +275 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 476 | MLB | Tarik Skubal 10 games | LAD vs KCR@LAD | K | 7.5 | -131 | 7.6 | +0.1 | 2/5 | +0.3 | 37 | F | 6.0 | LOSS | WIN | |
| 477 | MLB | Tarik Skubal 10 games | LAD vs KCR@LAD | K | 8.5 | +135 | 7.6 | -0.9 | 2/5 | +0.3 | 37 | F | 6.0 | LOSS | WIN | |
| 478 | MLB | Taylor Trammell 10 games | HOU vs HOU@SFG | HR | 0.5 | +700 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 479 | MLB | TJ Rumfield 10 games | COL vs COL@ARI | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 480 | MLB | Ty France 10 games | SD vs MIL@SDP | H | 0.5 | -173 | 0.8 | +0.3 | 3/5 | -0.8 | 37 | F | 2.0 | WIN | LOSS | |
| 481 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 482 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 483 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | RBI | 1.5 | +550 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | Tyler Soderstrom 10 games | ATH vs TBR@Athlet | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 485 | MLB | Tyler Tolbert 10 games | KC vs KCR@LAD | H | 1.5 | +550 | 1 | -0.5 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 486 | MLB | Tyler Tolbert 10 games | KC vs KCR@LAD | R | 0.5 | +312 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 487 | MLB | Vaughn Grissom 10 games | LAA vs TEX@LAA | TB | 1.5 | +150 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 488 | MLB | Wade Meckler 10 games | LAA vs TEX@LAA | H | 1.5 | +360 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 489 | MLB | Wade Meckler 10 games | LAA vs TEX@LAA | TB | 1.5 | +240 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 490 | MLB | Willi Castro 10 games | COL vs COL@ARI | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 491 | MLB | William Contreras 10 games | MIL vs MIL@SDP | RBI | 0.5 | +192 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | R | 1.5 | +500 | 1.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 493 | MLB | Yainer Diaz 10 games | HOU vs HOU@SFG | RBI | 0.5 | +199 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 494 | MLB | Yandy Diaz 10 games | TB vs TBR@Athlet | RBI | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 495 | MLB | Yordan Alvarez 10 games | HOU vs HOU@SFG | H | 0.5 | -300 | 0.6 | +0.1 | 3/5 | -0.8 | 37 | F | 2.0 | WIN | LOSS | |
| 496 | MLB | Yordan Alvarez 10 games | HOU vs HOU@SFG | RBI | 0.5 | +135 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Zach Neto 10 games | LAA vs TEX@LAA | TB | 1.5 | +128 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 498 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | H | 0.5 | -199 | 1.2 | +0.7 | 2/5 | -0.5 | 36 | F | — | PENDING | PENDING | |
| 499 | MLB | Isaac Paredes 10 games | HOU vs HOU@SFG | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | +0.5 | 36 | F | 2.0 | WIN | LOSS | |
| 500 | MLB | Jackson Holliday 10 games | BAL vs BAL@MIN | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | 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.