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 | Griffin Conine 10 games | MIA vs PIT@MIA | H | 1.5 | +475 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 452 | MLB | Jacob Wilson 10 games | ATH vs TBR@Athlet | TB | 1.5 | +115 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 453 | MLB | Jakob Marsee 10 games | MIA vs PIT@MIA | H | 1.5 | +500 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 454 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | Jonah Heim 10 games | ATH vs TBR@Athlet | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 456 | MLB | Jung Hoo Lee 10 games | SF vs HOU@SFG | H | 0.5 | -260 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 457 | MLB | Kazuma Okamoto 10 games | TOR vs BOS@TOR | H | 0.5 | -159 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | — | PENDING | PENDING | |
| 458 | MLB | Ketel Marte 10 games | AZ vs COL@ARI | H | 0.5 | -275 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 459 | MLB | Kevin McGonigle 10 games | DET vs CLE@DET | H | 1.5 | +230 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 2.0 | WIN | LOSS | |
| 460 | MLB | Lars Nootbaar 10 games | AZ vs COL@ARI | H | 0.5 | -225 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | RBI | 0.5 | +183 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 462 | MLB | Manny Machado 10 games | SD vs MIL@SDP | H | 0.5 | -170 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 3.0 | WIN | LOSS | |
| 463 | MLB | Miguel Vargas 10 games | CWS vs CIN@CHW | H | 0.5 | -230 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 464 | MLB | Moises Ballesteros 10 games | LAA vs TEX@LAA | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 465 | MLB | Munetaka Murakami 10 games | CWS vs CIN@CHW | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 466 | MLB | Nick Loftin 10 games | KC vs KCR@LAD | TB | 1.5 | +210 | 1 | -0.5 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 467 | MLB | Nick Sogard 10 games | BOS vs BOS@TOR | TB | 1.5 | +200 | 1.6 | +0.1 | 1/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 468 | MLB | Nolan Arenado 10 games | AZ vs COL@ARI | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 469 | MLB | Nolan Schanuel 10 games | LAA vs TEX@LAA | H | 0.5 | -247 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 470 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | RBI | 0.5 | +151 | 0.8 | +0.3 | 1/5 | +0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 471 | MLB | Randal Grichuk 10 games | CWS vs CIN@CHW | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 472 | MLB | Riley Greene 10 games | DET vs CLE@DET | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | — | PENDING | PENDING | |
| 473 | MLB | Ronny Simon 5 games | PIT vs PIT@MIA | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 474 | MLB | Ronny Simon 5 games | PIT vs PIT@MIA | TB | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 475 | MLB | Ryan Jeffers 10 games | MIN vs BAL@MIN | H | 0.5 | -225 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 476 | MLB | Ryan Weathers 10 games | NYY vs SEA@NYY | K | 5.5 | -180 | 5.6 | +0.1 | 3/5 | +0.4 | 40 | F | 4.0 | LOSS | WIN | |
| 477 | MLB | Seiya Suzuki 10 games | CHC vs CHC@WSN | H | 0.5 | -250 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 478 | MLB | Starling Marte 10 games | KC vs KCR@LAD | TB | 1.5 | +240 | 1.4 | -0.1 | 2/5 | +0.5 | 40 | F | — | PENDING | PENDING | |
| 479 | MLB | Tommy Edman 10 games | LAD vs KCR@LAD | H | 0.5 | -185 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 480 | MLB | Tommy White 10 games | ATH vs TBR@Athlet | H | 0.5 | -252 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 481 | MLB | Trent Grisham 10 games | NYY vs SEA@NYY | H | 0.5 | -185 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 482 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | H | 0.5 | -195 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 483 | MLB | Tyler Stephenson 10 games | CIN vs CIN@CHW | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 484 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs BOS@TOR | H | 0.5 | -222 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 485 | MLB | Xavier Edwards 10 games | MIA vs PIT@MIA | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 486 | MLB | Zack Gelof 10 games | ATH vs TBR@Athlet | H | 0.5 | -177 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 487 | MLB | Zack Gelof 10 games | ATH vs TBR@Athlet | TB | 1.5 | +150 | 1.6 | +0.1 | 1/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 488 | MLB | Charles McAdoo 4 games | TOR vs BOS@TOR | H | 0.5 | -115 | 0.5 | +0 | 2/4 | -0.2 | 39 | F | 0.0 | LOSS | WIN | |
| 489 | MLB | Drew Gilbert 10 games | SF vs HOU@SFG | H | 0.5 | -117 | 0.6 | +0.1 | 2/5 | +0.3 | 39 | F | 1.0 | WIN | LOSS | |
| 490 | MLB | Elly De La Cruz 10 games | CIN vs CIN@CHW | TB | 1.5 | +128 | 1.8 | +0.3 | 2/5 | -0.7 | 39 | F | 1.0 | LOSS | WIN | |
| 491 | MLB | Geraldo Perdomo 10 games | AZ vs COL@ARI | TB | 1.5 | +120 | 1.8 | +0.3 | 2/5 | -0.9 | 39 | F | — | PENDING | PENDING | |
| 492 | MLB | Jacob Young 10 games | WSH vs CHC@WSN | TB | 1.5 | +195 | 1.8 | +0.3 | 2/5 | -0.5 | 39 | F | 6.0 | WIN | LOSS | |
| 493 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | TB | 1.5 | +130 | 1.6 | +0.1 | 2/5 | -1.2 | 39 | F | — | PENDING | PENDING | |
| 494 | MLB | Kevin McGonigle 10 games | DET vs CLE@DET | RBI | 0.5 | +200 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 3.0 | WIN | LOSS | |
| 495 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | R | 0.5 | +145 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 496 | MLB | Mike Trout 10 games | LAA vs TEX@LAA | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | -0.1 | 39 | F | 1.0 | WIN | LOSS | |
| 497 | MLB | Nick Sogard 10 games | BOS vs BOS@TOR | R | 0.5 | +180 | 0.8 | +0.3 | 2/5 | -0.8 | 39 | F | 0.0 | LOSS | WIN | |
| 498 | MLB | Nico Hoerner 10 games | CHC vs CHC@WSN | TB | 1.5 | +130 | 1.6 | +0.1 | 2/5 | -0.6 | 39 | F | 3.0 | WIN | LOSS | |
| 499 | MLB | Ryan McMahon 10 games | NYY vs SEA@NYY | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +-0 | 39 | F | 1.0 | WIN | LOSS | |
| 500 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@TOR | TB | 1.5 | +170 | 1.4 | -0.1 | 3/5 | -1.8 | 38 | 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.