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 | Bryce Eldridge 10 games | SF vs SFG@ATL | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 402 | MLB | Bryce Harper 10 games | PHI vs NYM@PHI | RBI | 0.5 | +171 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 403 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 404 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | R | 1.5 | +1000 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 405 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | TB | 1.5 | +117 | 1.2 | -0.3 | 2/5 | -0.5 | 37 | F | 3.0 | WIN | LOSS | |
| 407 | MLB | Casey Schmitt 10 games | SF vs SFG@ATL | R | 0.5 | +115 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | — | PENDING | PENDING | |
| 408 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | R | 0.5 | +105 | 0.6 | +0.1 | 1/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 409 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 410 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Colt Emerson 10 games | SEA vs BAL@SEA | HR | 0.5 | +750 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Colton Cowser 10 games | BAL vs BAL@SEA | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Connor Wong 10 games | BOS vs TOR@BOS | TB | 1.5 | +190 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Daniel Susac 10 games | SF vs SFG@ATL | RBI | 0.5 | +253 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 416 | MLB | Derek Hill 10 games | PHI vs NYM@PHI | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | H | 1.5 | +320 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | HR | 0.5 | +450 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | RBI | 1.5 | +550 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Dominic Smith 10 games | ATL vs SFG@ATL | RBI | 0.5 | +212 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 421 | MLB | Drake Baldwin 10 games | ATL vs SFG@ATL | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 422 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | H | 1.5 | +320 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 423 | MLB | Ernie Clement 10 games | TOR vs TOR@BOS | H | 0.5 | -250 | 0.8 | +0.3 | 3/5 | -0.7 | 37 | F | 1.0 | WIN | LOSS | |
| 424 | MLB | Ernie Clement 10 games | TOR vs TOR@BOS | R | 0.5 | +150 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 425 | MLB | Garrett Mitchell 10 games | MIL vs CLE@MIL | HR | 0.5 | +850 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 426 | MLB | George Springer 10 games | TOR vs TOR@BOS | HR | 0.5 | +475 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | H | 1.5 | +260 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 428 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | HR | 0.5 | +425 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Isaac Collins 10 games | KC vs STL@KCR | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 2.0 | WIN | LOSS | |
| 430 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | RBI | 0.5 | +200 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 431 | MLB | J.P. Crawford 10 games | SEA vs BAL@SEA | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 432 | MLB | J.T. Realmuto 10 games | PHI vs NYM@PHI | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | J.T. Realmuto 10 games | PHI vs NYM@PHI | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 434 | MLB | Jackson Holliday 10 games | BAL vs BAL@SEA | RBI | 0.5 | +300 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Jacob Wilson 10 games | ATH vs LAA@Athlet | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 436 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | R | 0.5 | +118 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Jo Adell 10 games | LAA vs LAA@Athlet | RBI | 0.5 | +141 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 439 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | H | 1.5 | +380 | 1 | -0.5 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Joey Ortiz 10 games | MIL vs CLE@MIL | H | 1.5 | +450 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Joey Ortiz 10 games | MIL vs CLE@MIL | TB | 1.5 | +230 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Jonah Cox 8 games | SF vs SFG@ATL | RBI | 0.5 | +250 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 444 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 445 | MLB | Jose Caballero 10 games | NYY vs CHW@NYY | HR | 0.5 | +700 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | RBI | 1.5 | +700 | 1.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 447 | MLB | Josh Jung 10 games | TEX vs MIN@TEX | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 2.0 | WIN | LOSS | |
| 448 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | RBI | 0.5 | +181 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | TB | 1.5 | +140 | 1.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 450 | MLB | Josh Smith 10 games | TEX vs MIN@TEX | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 1.0 | 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.