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 | Daniel Schneemann 10 games | CLE vs NYY@CLE | H | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 452 | MLB | Daniel Susac 10 games | SF vs WSN@SFG | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +-0 | 37 | F | — | PENDING | PENDING | |
| 453 | MLB | Dominic Canzone 10 games | SEA vs SEA@BAL | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 454 | MLB | Donovan Walton 10 games | LAA vs HOU@LAA | H | 0.5 | -162 | 0.6 | +0.1 | 3/5 | -0.8 | 37 | F | 0.0 | LOSS | WIN | |
| 455 | MLB | Drew Gilbert 10 games | SF vs WSN@SFG | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 456 | MLB | Ernie Clement 10 games | TOR vs PHI@TOR | H | 1.5 | +201 | 1.4 | -0.1 | 2/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 457 | MLB | Fernando Tatis Jr. 10 games | SD vs CIN@SDP | TB | 1.5 | +130 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 458 | MLB | Freddy Fermin 10 games | SD vs CIN@SDP | HR | 0.5 | +1000 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 459 | MLB | Freddy Fermin 10 games | SD vs CIN@SDP | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 460 | MLB | Garrett Mitchell 10 games | MIL vs MIL@Athlet | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 461 | MLB | Gavin Sheets 10 games | SD vs CIN@SDP | R | 0.5 | +151 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 462 | MLB | Gavin Williams 10 games | CLE vs NYY@CLE | K | 6.5 | -129 | 6.8 | +0.3 | 2/5 | +0.1 | 37 | F | 5.0 | LOSS | WIN | |
| 463 | MLB | George Springer 10 games | TOR vs PHI@TOR | TB | 1.5 | +148 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 464 | MLB | Gunnar Henderson 10 games | BAL vs SEA@BAL | TB | 1.5 | +120 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 465 | MLB | Henry Bolte 10 games | ATH vs MIL@Athlet | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 466 | MLB | Isaac Paredes 10 games | HOU vs HOU@LAA | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 467 | MLB | J.C. Escarra 10 games | NYY vs NYY@CLE | H | 0.5 | +105 | 0.6 | +0.1 | 1/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 468 | MLB | Jackson Chourio 10 games | MIL vs MIL@Athlet | H | 1.5 | +162 | 1.4 | -0.1 | 2/5 | -0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 469 | MLB | Jackson Holliday 10 games | BAL vs SEA@BAL | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 470 | MLB | Jackson Holliday 10 games | BAL vs SEA@BAL | TB | 1.5 | +220 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 471 | MLB | Jackson Merrill 10 games | SD vs CIN@SDP | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 0.0 | LOSS | WIN | |
| 472 | MLB | Jarren Duran 10 games | BOS vs BOS@TBR | H | 0.5 | -215 | 0.6 | +0.1 | 3/5 | -0.9 | 37 | F | 0.0 | LOSS | WIN | |
| 473 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@CLE | HR | 0.5 | +525 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 474 | MLB | Jhonny Pereda 10 games | SEA vs SEA@BAL | RBI | 0.5 | +272 | 0.6 | +0.1 | 1/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 475 | MLB | Joey Ortiz 10 games | MIL vs MIL@Athlet | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 476 | MLB | Joey Ortiz 10 games | MIL vs MIL@Athlet | TB | 1.5 | +170 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 477 | MLB | Jonah Heim 10 games | ATH vs MIL@Athlet | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 478 | MLB | Jose Altuve 10 games | HOU vs HOU@LAA | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 479 | MLB | Jose Altuve 10 games | HOU vs HOU@LAA | RBI | 0.5 | +174 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 480 | MLB | Josh Naylor 10 games | SEA vs SEA@BAL | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | +0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 481 | MLB | Josh Naylor 10 games | SEA vs SEA@BAL | RBI | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 4.0 | WIN | LOSS | |
| 482 | MLB | Jung Hoo Lee 10 games | SF vs WSN@SFG | RBI | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 483 | MLB | Kazuma Okamoto 10 games | TOR vs PHI@TOR | RBI | 0.5 | +230 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | Keibert Ruiz 10 games | WSH vs WSN@SFG | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 485 | MLB | Keibert Ruiz 10 games | WSH vs WSN@SFG | RBI | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 486 | MLB | Keibert Ruiz 10 games | WSH vs WSN@SFG | TB | 1.5 | +180 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 487 | MLB | Kyle Manzardo 10 games | CLE vs NYY@CLE | R | 0.5 | +145 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 488 | MLB | Kyle Manzardo 10 games | CLE vs NYY@CLE | RBI | 0.5 | +184 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 489 | MLB | LaMonte Wade Jr. 3 games | HOU vs HOU@LAA | R | 0.5 | +155 | 0.7 | +0.2 | 1/3 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 490 | MLB | Leody Taveras 10 games | BAL vs SEA@BAL | RBI | 0.5 | +267 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 491 | MLB | Logan O'Hoppe 10 games | LAA vs HOU@LAA | R | 0.5 | +160 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Logan O'Hoppe 10 games | LAA vs HOU@LAA | RBI | 0.5 | +230 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 493 | MLB | Logan Webb 7 games | SF vs WSN@SFG | K | 4.5 | -160 | 4.8 | +0.3 | 3/5 | -0.8 | 37 | F | 7.0 | WIN | LOSS | |
| 494 | MLB | Luis Arraez 10 games | SF vs WSN@SFG | H | 1.5 | +169 | 1.4 | -0.1 | 2/5 | +0 | 37 | F | 2.0 | WIN | LOSS | |
| 495 | MLB | Luis Arraez 10 games | SF vs WSN@SFG | RBI | 0.5 | +200 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 496 | MLB | Mickey Gasper 10 games | BOS vs BOS@TBR | R | 0.5 | +175 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 497 | MLB | Miles Mikolas 9 games | WSH vs WSN@SFG | K | 3.5 | +138 | 3 | -0.5 | 2/5 | +0.1 | 37 | F | 2.0 | LOSS | WIN | |
| 498 | MLB | Nick Madrigal 8 games | LAA vs HOU@LAA | TB | 1.5 | +190 | 1.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 499 | MLB | Oswald Peraza 10 games | LAA vs HOU@LAA | H | 0.5 | -160 | 0.8 | +0.3 | 3/5 | -0.8 | 37 | F | 0.0 | LOSS | WIN | |
| 500 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CLE | H | 1.5 | +300 | 1.4 | -0.1 | 2/5 | -0.4 | 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.