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 | Brandon Young 9 games | BAL vs BAL@SEA | K | 4.5 | -110 | 4.6 | +0.1 | 2/5 | +0.9 | 44 | F | 2.0 | LOSS | WIN | |
| 452 | MLB | Coby Mayo 10 games | BAL vs BAL@SEA | H | 0.5 | -133 | 0.6 | +0.1 | 3/5 | -0.3 | 44 | F | — | PENDING | PENDING | |
| 453 | MLB | Colson Montgomery 10 games | CWS vs CHW@NYY | H | 0.5 | -130 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | 0.0 | LOSS | WIN | |
| 454 | MLB | Daniel Susac 10 games | SF vs SFG@ATL | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0 | 44 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | George Springer 10 games | TOR vs TOR@BOS | R | 0.5 | -105 | 0.8 | +0.3 | 2/5 | +0.5 | 44 | F | 1.0 | WIN | LOSS | |
| 456 | MLB | Jake Mangum 10 games | PIT vs PIT@Athlet | TB | 1.5 | +155 | 1.4 | -0.1 | 3/5 | +0.2 | 44 | F | 1.0 | LOSS | WIN | |
| 457 | MLB | JJ Wetherholt 10 games | STL vs SDP@STL | H | 1.5 | +260 | 1.4 | -0.1 | 3/5 | +0.1 | 44 | F | 3.0 | WIN | LOSS | |
| 458 | MLB | Jonathan Aranda 10 games | TB vs TBR@LAD | H | 1.5 | +260 | 1.4 | -0.1 | 3/5 | +0.3 | 44 | F | 0.0 | LOSS | WIN | |
| 459 | MLB | Kumar Rocker 10 games | TEX vs MIN@TEX | K | 4.5 | +125 | 4.4 | -0.1 | 3/5 | -0.5 | 44 | F | 4.0 | LOSS | WIN | |
| 460 | MLB | Lawrence Butler 10 games | ATH vs PIT@Athlet | H | 1.5 | +280 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | 1.0 | LOSS | WIN | |
| 461 | MLB | Matt McLain 10 games | CIN vs NYM@CIN | H | 0.5 | -130 | 0.6 | +0.1 | 3/5 | -0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 462 | MLB | Mike Yastrzemski 10 games | ATL vs SFG@ATL | H | 0.5 | -121 | 0.6 | +0.1 | 3/5 | +0 | 44 | F | 1.0 | WIN | LOSS | |
| 463 | MLB | Nathan Church 10 games | STL vs SDP@STL | H | 0.5 | -134 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | 1.0 | WIN | LOSS | |
| 464 | MLB | Pete Alonso 10 games | BAL vs BAL@SEA | RBI | 1.5 | +475 | 1.4 | -0.1 | 3/5 | +0.3 | 44 | F | 0.0 | LOSS | WIN | |
| 465 | MLB | Royce Lewis 10 games | MIN vs MIN@TEX | H | 1.5 | +360 | 1.4 | -0.1 | 3/5 | -0.1 | 44 | F | 1.0 | LOSS | WIN | |
| 466 | MLB | TJ Rumfield 10 games | COL vs COL@CHC | H | 1.5 | +240 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | 1.0 | LOSS | WIN | |
| 467 | MLB | Troy Johnston 10 games | COL vs COL@CHC | H | 1.5 | +260 | 1.4 | -0.1 | 3/5 | +0.3 | 44 | F | 0.0 | LOSS | WIN | |
| 468 | MLB | Yandy Diaz 9 games | TB vs TBR@LAD | TB | 2.5 | +190 | 2 | -0.5 | 3/5 | -0.2 | 44 | F | 1.0 | LOSS | WIN | |
| 469 | MLB | Braden Montgomery 5 games | CWS vs CHW@NYY | H | 0.5 | -165 | 1 | +0.5 | 3/5 | -0.7 | 43 | F | 0.0 | LOSS | WIN | |
| 470 | MLB | Eli White 10 games | ATL vs SFG@ATL | TB | 1.5 | +180 | 1.8 | +0.3 | 1/5 | +2.1 | 43 | F | 0.0 | LOSS | WIN | |
| 471 | MLB | Gleyber Torres 10 games | DET vs DET@HOU | H | 0.5 | -200 | 1.2 | +0.7 | 3/5 | -0.6 | 43 | F | — | PENDING | PENDING | |
| 472 | MLB | Jack Perkins 10 games | ATH vs PIT@Athlet | K | 3.5 | -300 | 3.8 | +0.3 | 3/5 | +0.9 | 43 | F | 6.0 | WIN | LOSS | |
| 473 | MLB | Jose Altuve 10 games | HOU vs DET@HOU | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.6 | 43 | F | 0.0 | LOSS | WIN | |
| 474 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | H | 0.5 | -250 | 1.2 | +0.7 | 3/5 | -1.1 | 43 | F | 1.0 | WIN | LOSS | |
| 475 | MLB | Randy Arozarena 10 games | SEA vs BAL@SEA | H | 0.5 | -164 | 1.4 | +0.9 | 3/5 | -0.9 | 43 | F | — | PENDING | PENDING | |
| 476 | MLB | Tyler Freeman 10 games | COL vs COL@CHC | H | 0.5 | -200 | 0.8 | +0.3 | 4/5 | -0.5 | 43 | F | 0.0 | LOSS | WIN | |
| 477 | MLB | Adley Rutschman 10 games | BAL vs BAL@SEA | RBI | 0.5 | +217 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 478 | MLB | Alejandro Kirk 2 games | TOR vs TOR@BOS | R | 0.5 | +130 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 479 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 480 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | RBI | 0.5 | +328 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 481 | MLB | Ben Williamson 10 games | TB vs TBR@LAD | R | 0.5 | +210 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 482 | MLB | Bo Bichette 10 games | NYM vs NYM@CIN | HR | 0.5 | +575 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 483 | MLB | Braden Montgomery 5 games | CWS vs CHW@NYY | RBI | 0.5 | +242 | 0.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | Braden Montgomery 5 games | CWS vs CHW@NYY | TB | 1.5 | +160 | 2 | +0.5 | 2/5 | -1.7 | 42 | F | 0.0 | LOSS | WIN | |
| 485 | MLB | Brandon Marsh 10 games | PHI vs MIA@PHI | H | 0.5 | -235 | 1 | +0.5 | 2/5 | +0.6 | 42 | F | 1.0 | WIN | LOSS | |
| 486 | MLB | Brandon Marsh 10 games | PHI vs MIA@PHI | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 487 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | RBI | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Brandon Nimmo 10 games | TEX vs MIN@TEX | TB | 1.5 | +100 | 1.6 | +0.1 | 2/5 | -0.1 | 42 | F | 3.0 | WIN | LOSS | |
| 489 | MLB | Brice Matthews 10 games | HOU vs DET@HOU | RBI | 0.5 | +300 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Brice Turang 10 games | MIL vs CLE@MIL | R | 0.5 | +115 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 491 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | H | 1.5 | +280 | 1.6 | +0.1 | 2/5 | +0.1 | 42 | F | 2.0 | WIN | LOSS | |
| 492 | MLB | Bryson Stott 10 games | PHI vs MIA@PHI | RBI | 0.5 | +188 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 2.0 | WIN | LOSS | |
| 493 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | RBI | 0.5 | +274 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 494 | MLB | Cam Smith 10 games | HOU vs DET@HOU | TB | 1.5 | +175 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | LOSS | WIN | |
| 495 | MLB | Carter Jensen 10 games | KC vs KCR@WSN | TB | 1.5 | +200 | 1.8 | +0.3 | 2/5 | +0.2 | 42 | F | — | PENDING | PENDING | |
| 496 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | R | 0.5 | +145 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Christian Walker 10 games | HOU vs DET@HOU | RBI | 0.5 | +160 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 498 | MLB | Cole Carrigg 7 games | COL vs COL@CHC | RBI | 1.5 | +600 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 499 | MLB | Colson Montgomery 10 games | CWS vs CHW@NYY | RBI | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 500 | MLB | Curtis Mead 10 games | WSH vs KCR@WSN | RBI | 0.5 | +173 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 3.0 | 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.