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 | Nico Hoerner 10 games | CHC vs MIN@CHC | TB | 1.5 | +163 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 4.0 | WIN | LOSS | |
| 452 | MLB | Nolan Arenado 10 games | AZ vs STL@ARI | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 453 | MLB | Randy Arozarena 10 games | SEA vs SFG@SEA | H | 0.5 | -171 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 454 | MLB | Sam Antonacci 10 games | CWS vs CHW@TOR | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYY | H | 0.5 | -186 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 1.0 | WIN | LOSS | |
| 456 | MLB | TJ Rumfield 10 games | COL vs CIN@COL | RBI | 0.5 | +193 | 0.8 | +0.3 | 1/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 457 | MLB | Tyler Soderstrom 10 games | ATH vs WSN@Athlet | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 458 | MLB | Willson Contreras 10 games | BOS vs TBR@BOS | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 459 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 460 | MLB | Andy Pages 10 games | LAD vs LAD@NYY | TB | 1.5 | +140 | 1.8 | +0.3 | 2/5 | -0.8 | 39 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Austin Wells 10 games | NYY vs LAD@NYY | TB | 1.5 | +260 | 1.8 | +0.3 | 2/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 462 | MLB | Connor Wong 10 games | BOS vs TBR@BOS | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 463 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | H | 0.5 | -115 | 0.6 | +0.1 | 2/5 | -0.2 | 39 | F | 0.0 | LOSS | WIN | |
| 464 | MLB | Jordan Walker 10 games | STL vs STL@ARI | R | 0.5 | +100 | 0.6 | +0.1 | 2/5 | -0.7 | 39 | F | 1.0 | WIN | LOSS | |
| 465 | MLB | Jose Altuve 10 games | HOU vs BAL@HOU | TB | 1.5 | +151 | 1.6 | +0.1 | 2/5 | -0.5 | 39 | F | 6.0 | WIN | LOSS | |
| 466 | MLB | Matt Vierling 10 games | DET vs DET@LAA | H | 0.5 | -175 | 1 | +0.5 | 2/5 | -0.1 | 39 | F | 0.0 | LOSS | WIN | |
| 467 | MLB | Michael Conforto 10 games | CHC vs MIN@CHC | H | 0.5 | -136 | 0.6 | +0.1 | 3/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 468 | MLB | Pete Crow-Armstrong 10 games | CHC vs MIN@CHC | R | 0.5 | -120 | 0.6 | +0.1 | 2/5 | -0.5 | 39 | F | 1.0 | WIN | LOSS | |
| 469 | MLB | Shohei Ohtani 10 games | LAD vs LAD@NYY | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | +0.2 | 39 | F | 0.0 | LOSS | WIN | |
| 470 | MLB | Spencer Steer 10 games | CIN vs CIN@COL | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | +0.1 | 39 | F | 0.0 | LOSS | WIN | |
| 471 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs CHW@TOR | RBI | 0.5 | +187 | 0.8 | +0.3 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 472 | MLB | Willson Contreras 10 games | BOS vs TBR@BOS | RBI | 0.5 | +157 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 2.0 | WIN | LOSS | |
| 473 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | TB | 1.5 | +110 | 1.6 | +0.1 | 2/5 | -1.3 | 39 | F | 7.0 | WIN | LOSS | |
| 474 | MLB | Yordan Alvarez 10 games | HOU vs BAL@HOU | R | 0.5 | -120 | 0.6 | +0.1 | 2/5 | -0.1 | 39 | F | 0.0 | LOSS | WIN | |
| 475 | MLB | Yoshinobu Yamamoto 8 games | LAD vs LAD@NYY | K | 6.5 | -120 | 6.6 | +0.1 | 2/5 | +0.4 | 39 | F | 7.0 | WIN | LOSS | |
| 476 | MLB | Zach Neto 10 games | LAA vs DET@LAA | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 1.0 | WIN | LOSS | |
| 477 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | +0.5 | 38 | F | — | PENDING | PENDING | |
| 478 | MLB | Alec Burleson 10 games | STL vs STL@ARI | TB | 1.5 | +116 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 479 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | RBI | 0.5 | +220 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 480 | MLB | Alex Bregman 10 games | CHC vs MIN@CHC | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 481 | MLB | Andy Pages 10 games | LAD vs LAD@NYY | RBI | 0.5 | +224 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 482 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | TB | 1.5 | +150 | 1.4 | -0.1 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 483 | MLB | Austin Riley 10 games | ATL vs TEX@ATL | RBI | 0.5 | +224 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 4.0 | WIN | LOSS | |
| 484 | MLB | Austin Wells 10 games | NYY vs LAD@NYY | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 485 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 486 | MLB | Brice Turang 10 games | MIL vs MIA@MIL | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 487 | MLB | Bryce Harper 10 games | PHI vs NYM@PHI | TB | 1.5 | +142 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 489 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Casey Schmitt 10 games | SF vs SFG@SEA | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 491 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Coby Mayo 10 games | BAL vs BAL@HOU | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 493 | MLB | Coby Mayo 10 games | BAL vs BAL@HOU | RBI | 0.5 | +275 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 494 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | R | 0.5 | +110 | 0.6 | +0.1 | 1/5 | +0.2 | 37 | F | — | PENDING | PENDING | |
| 495 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | RBI | 0.5 | +185 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 496 | MLB | Cole Young 10 games | SEA vs SFG@SEA | HR | 0.5 | +900 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 497 | MLB | Colson Montgomery 10 games | CWS vs CHW@TOR | RBI | 0.5 | +162 | 0.6 | +0.1 | 1/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 498 | MLB | Colt Keith 10 games | DET vs DET@LAA | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 499 | MLB | Cooper Pratt 10 games | MIL vs MIA@MIL | RBI | 0.5 | +261 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | — | PENDING | PENDING | |
| 500 | MLB | Curtis Mead 10 games | WSH vs WSN@Athlet | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | 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.