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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 401 | MLB | Jackson Merrill 10 games | SD vs SDP@PHI | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 402 | MLB | Jake Bauers 10 games | MIL vs SFG@MIL | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 403 | MLB | Jake Bauers 10 games | MIL vs SFG@MIL | RBI | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 404 | MLB | Jake Meyers 10 games | HOU vs PIT@HOU | R | 0.5 | +185 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Jake Meyers 10 games | HOU vs PIT@HOU | RBI | 0.5 | +250 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | Jared Triolo 10 games | PIT vs PIT@HOU | R | 0.5 | +182 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CLE@NYY | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CLE@NYY | RBI | 0.5 | +160 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 410 | MLB | Jorge Mateo 10 games | ATL vs TOR@ATL | HR | 0.5 | +900 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Jose Caballero 10 games | NYY vs CLE@NYY | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Jose Caballero 10 games | NYY vs CLE@NYY | RBI | 0.5 | +241 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Josh Bell 10 games | MIN vs KCR@MIN | RBI | 0.5 | +182 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Justin Crawford 10 games | PHI vs SDP@PHI | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 415 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@ATL | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 416 | MLB | Kyle Schwarber 10 games | PHI vs SDP@PHI | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | -0.7 | 37 | F | 1.0 | WIN | LOSS | |
| 417 | MLB | Kyle Schwarber 10 games | PHI vs SDP@PHI | HR | 0.5 | +210 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Kyle Schwarber 10 games | PHI vs SDP@PHI | RBI | 0.5 | +127 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Kyle Tucker 10 games | LAD vs LAD@ARI | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Luis Arraez 10 games | SF vs SFG@MIL | RBI | 0.5 | +240 | 0.6 | +0.1 | 1/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 421 | MLB | Luke Keaschall 10 games | MIN vs KCR@MIN | TB | 1.5 | +165 | 1.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 422 | MLB | Marcelo Mayer 10 games | BOS vs BAL@BOS | RBI | 0.5 | +176 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | — | PENDING | PENDING | |
| 423 | MLB | Matt Chapman 10 games | SF vs SFG@MIL | R | 0.5 | +156 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 424 | MLB | Matt Olson 10 games | ATL vs TOR@ATL | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Matt Olson 10 games | ATL vs TOR@ATL | RBI | 0.5 | +159 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 426 | MLB | Max Muncy 10 games | LAD vs LAD@ARI | RBI | 0.5 | +147 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Michael Harris II 10 games | ATL vs TOR@ATL | H | 1.5 | +180 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 428 | MLB | Michael Harris II 10 games | ATL vs TOR@ATL | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Michael Massey 10 games | KC vs KCR@MIN | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 430 | MLB | Mike Yastrzemski 10 games | ATL vs TOR@ATL | RBI | 0.5 | +264 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 431 | MLB | Mike Yastrzemski 10 games | ATL vs TOR@ATL | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 432 | MLB | Mookie Betts 10 games | LAD vs LAD@ARI | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Mookie Betts 10 games | LAD vs LAD@ARI | RBI | 0.5 | +159 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 434 | MLB | Nick Gonzales 10 games | PIT vs PIT@HOU | HR | 0.5 | +1000 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Nico Hoerner 10 games | CHC vs Athletics@ | TB | 1.5 | +120 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 436 | MLB | Nolan Arenado 10 games | AZ vs LAD@ARI | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | Paul Goldschmidt 10 games | NYY vs CLE@NYY | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | H | 1.5 | +190 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 439 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Pete Crow-Armstrong 10 games | CHC vs Athletics@ | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 441 | MLB | Ryan McMahon 10 games | NYY vs CLE@NYY | H | 1.5 | +400 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 442 | MLB | Ryan McMahon 10 games | NYY vs CLE@NYY | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Sal Frelick 10 games | MIL vs SFG@MIL | R | 0.5 | +138 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | H | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 445 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 446 | MLB | Seiya Suzuki 10 games | CHC vs Athletics@ | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 447 | MLB | Steven Kwan 10 games | CLE vs CLE@NYY | R | 1.5 | +1300 | 0.8 | -0.7 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Travis Bazzana 10 games | CLE vs CLE@NYY | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.9 | 37 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | H | 0.5 | -175 | 0.8 | +0.3 | 3/5 | -0.6 | 37 | F | 2.0 | WIN | LOSS | |
| 450 | MLB | Trevor Larnach 10 games | MIN vs KCR@MIN | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | 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.