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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 501 | MLB | Wilyer Abreu 10 games | BOS vs TBR@BOS | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 502 | MLB | Wilyer Abreu 10 games | BOS vs TBR@BOS | RBI | 0.5 | +157 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 503 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 504 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 505 | MLB | Yandy Diaz 10 games | AL vs TBR@BOS | H | 1.5 | +151 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 506 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | H | 0.5 | -135 | 0.4 | -0.1 | 2/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 507 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | HR | 0.5 | +1300 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 508 | MLB | Colt Emerson 10 games | SEA vs SFG@SEA | H | 0.5 | -109 | 0.2 | -0.3 | 1/5 | -0.3 | 31 | F | 0.0 | LOSS | WIN | |
| 509 | MLB | Victor Robles 10 games | SEA vs SFG@SEA | H | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.1 | 31 | F | 0.0 | LOSS | WIN | |
| 510 | MLB | Freddie Freeman 10 games | NL vs LAD@NYY | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | -0.6 | 30 | F | 0.0 | LOSS | WIN | |
| 511 | MLB | Geraldo Perdomo 10 games | AZ vs STL@ARI | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | -0.6 | 30 | F | 0.0 | LOSS | WIN | |
| 512 | MLB | Jo Adell 10 games | LAA vs DET@LAA | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 0.0 | LOSS | WIN | |
| 513 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | +0.4 | 30 | F | — | PENDING | PENDING | |
| 514 | MLB | Nick Gonzales 10 games | PIT vs PIT@CLE | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | -0.9 | 30 | F | — | PENDING | PENDING | |
| 515 | MLB | Ryan Waldschmidt 10 games | AZ vs STL@ARI | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.3 | 30 | F | — | PENDING | PENDING | |
| 516 | MLB | Spencer Torkelson 10 games | DET vs DET@LAA | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | 0.0 | LOSS | WIN | |
| 517 | MLB | Adley Rutschman 10 games | AL vs BAL@HOU | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 518 | MLB | Adley Rutschman 10 games | AL vs BAL@HOU | RBI | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 519 | MLB | Alan Roden 5 games | MIN vs MIN@CHC | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 520 | MLB | Alec Burleson 10 games | STL vs STL@ARI | H | 1.5 | +170 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 521 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 522 | MLB | Alika Williams 10 games | OAK vs WSN@ATHLET | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 523 | MLB | Alika Williams 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 524 | MLB | Andrés Chaparro 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 525 | MLB | Andrés Chaparro 10 games | WSH vs WSN@ATHLET | RBI | 0.5 | +194 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 8.0 | WIN | LOSS | |
| 526 | MLB | Andres Gimenez 10 games | TOR vs CHW@TOR | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 527 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TOR | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 528 | MLB | Austin Riley 10 games | ATL vs TEX@ATL | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 529 | MLB | Ben Malgeri 10 games | DET vs DET@LAA | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 530 | MLB | Ben Williamson 9 games | TB vs TBR@BOS | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 531 | MLB | Brandon Lowe 10 games | PIT vs PIT@CLE | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 532 | MLB | Brandon Lowe 10 games | PIT vs PIT@CLE | RBI | 0.5 | +196 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | — | PENDING | PENDING | |
| 533 | MLB | Brewer Hicklen 1 games | ATL vs TEX@ATL | HR | 0.5 | +650 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 534 | MLB | Brice Matthews 10 games | HOU vs BAL@HOU | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 535 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 536 | MLB | Bryan Torres 9 games | STL vs STL@ARI | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 537 | MLB | Bryan Torres 9 games | STL vs STL@ARI | RBI | 0.5 | +216 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 538 | MLB | Cal Raleigh 10 games | SEA vs SFG@SEA | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 539 | MLB | Cameron Cauley 10 games | TEX vs TEX@ATL | RBI | 0.5 | +300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 540 | MLB | Carlos Narvaez 10 games | BOS vs TBR@BOS | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 541 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 542 | MLB | Ceddanne Rafaela 10 games | AL vs TBR@BOS | H | 1.5 | +230 | 0.6 | -0.9 | 0/5 | -0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 543 | MLB | Ceddanne Rafaela 10 games | AL vs TBR@BOS | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 544 | MLB | Ceddanne Rafaela 10 games | AL vs TBR@BOS | RBI | 0.5 | +219 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 545 | MLB | Chandler Simpson 10 games | TB vs TBR@BOS | HR | 0.5 | +2500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 546 | MLB | Chase Meidroth 10 games | CWS vs CHW@TOR | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 547 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 548 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | RBI | 0.5 | +176 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 549 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 550 | MLB | CJ Abrams 10 games | NL vs WSN@ATHLET | RBI | 0.5 | +130 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | 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.