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 | LaMonte Wade Jr. 10 games | HOU vs BAL@HOU | TB | 1.5 | +200 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 452 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 453 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs STL@ARI | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 454 | MLB | Luis Rengifo 10 games | SD vs SDP@KCR | H | 0.5 | -230 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | — | PENDING | PENDING | |
| 455 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 456 | MLB | Marcelo Mayer 10 games | BOS vs TBR@BOS | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | — | PENDING | PENDING | |
| 457 | MLB | Matt Olson 10 games | NL vs TEX@ATL | H | 0.5 | -240 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 458 | MLB | Michael Conforto 10 games | CHC vs MIN@CHC | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | -0.5 | 40 | F | 1.0 | WIN | LOSS | |
| 459 | MLB | Michael McGreevy 9 games | STL vs STL@ARI | K | 3.5 | +110 | 3.4 | -0.1 | 2/5 | +1 | 40 | F | 5.0 | WIN | LOSS | |
| 460 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Nick Fortes 10 games | TB vs TBR@BOS | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 462 | MLB | Sal Frelick 10 games | MIL vs MIA@MIL | TB | 1.5 | +180 | 1.2 | -0.3 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 463 | MLB | Salvador Perez 10 games | KC vs SDP@KCR | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 464 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | H | 0.5 | -163 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 465 | MLB | Trevor Larnach 10 games | MIN vs MIN@CHC | H | 1.5 | +195 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 466 | MLB | Ty France 10 games | SD vs SDP@KCR | H | 1.5 | +189 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 467 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | H | 0.5 | -275 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 468 | MLB | Alec Burleson 10 games | STL vs STL@ARI | RBI | 0.5 | +143 | 0.8 | +0.3 | 2/5 | -0.6 | 39 | F | 0.0 | LOSS | WIN | |
| 469 | MLB | Andy Pages 10 games | NL vs LAD@NYY | TB | 1.5 | +126 | 1.8 | +0.3 | 2/5 | -0.5 | 39 | F | 1.0 | LOSS | WIN | |
| 470 | MLB | Bryce Eldridge 10 games | SF vs SFG@SEA | TB | 1.5 | +185 | 1.6 | +0.1 | 2/5 | -0.7 | 39 | F | 4.0 | WIN | LOSS | |
| 471 | MLB | CJ Abrams 10 games | NL vs WSN@Athlet | TB | 1.5 | +129 | 1.6 | +0.1 | 2/5 | -1 | 39 | F | 3.0 | WIN | LOSS | |
| 472 | MLB | Jakob Marsee 10 games | MIA vs MIA@MIL | H | 0.5 | -114 | 0.6 | +0.1 | 2/5 | -0.5 | 39 | F | 0.0 | LOSS | WIN | |
| 473 | MLB | Jordan Walker 10 games | NL vs STL@ARI | RBI | 0.5 | +132 | 0.8 | +0.3 | 2/5 | -0.9 | 39 | F | 0.0 | LOSS | WIN | |
| 474 | MLB | Luis Campusano 8 games | SD vs SDP@KCR | TB | 1.5 | +145 | 1.6 | +0.1 | 2/5 | -0.8 | 39 | F | 0.0 | LOSS | WIN | |
| 475 | MLB | Mike Trout 10 games | AL vs DET@LAA | RBI | 0.5 | +190 | 0.6 | +0.1 | 2/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 476 | MLB | Trevor Larnach 10 games | MIN vs MIN@CHC | R | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.3 | 39 | F | 1.0 | WIN | LOSS | |
| 477 | MLB | Willy Adames 10 games | SF vs SFG@SEA | H | 0.5 | -116 | 0.8 | +0.3 | 2/5 | +0.2 | 39 | F | 1.0 | WIN | LOSS | |
| 478 | MLB | Zach Neto 10 games | LAA vs DET@LAA | TB | 1.5 | +133 | 1.8 | +0.3 | 2/5 | -0.8 | 39 | F | 2.0 | WIN | LOSS | |
| 479 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | RBI | 0.5 | +170 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 480 | MLB | Alex Bregman 10 games | CHC vs MIN@CHC | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 481 | MLB | Andruw Monasterio 10 games | BOS vs TBR@BOS | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 482 | MLB | Austin Wells 10 games | NYY vs LAD@NYY | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 483 | MLB | Ben Williamson 10 games | TB vs TBR@BOS | RBI | 0.5 | +235 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | Braden Montgomery 10 games | CWS vs CHW@TOR | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 485 | MLB | Brayan Rocchio 10 games | CLE vs PIT@CLE | HR | 0.5 | +800 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | — | PENDING | PENDING | |
| 486 | MLB | Brice Turang 10 games | MIL vs MIA@MIL | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 487 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | RBI | 0.5 | +202 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | TB | 1.5 | +129 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 489 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | TB | 1.5 | +165 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Cameron Cauley 9 games | TEX vs TEX@ATL | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 491 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | RBI | 0.5 | +198 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 493 | MLB | Casey Schmitt 10 games | SF vs SFG@SEA | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 494 | MLB | Ceddanne Rafaela 10 games | AL vs TBR@BOS | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 495 | MLB | Chase Meidroth 10 games | CWS vs CHW@TOR | RBI | 0.5 | +279 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 496 | MLB | Coby Mayo 10 games | BAL vs BAL@HOU | HR | 0.5 | +380 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Coby Mayo 10 games | BAL vs BAL@HOU | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 498 | MLB | Curtis Mead 10 games | WSH vs WSN@Athlet | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 499 | MLB | Curtis Mead 10 games | WSH vs WSN@Athlet | RBI | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 500 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.5 | 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.