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 | Henry Bolte 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 502 | MLB | Hunter Feduccia 10 games | TB vs NYY@TBR | H | 1.5 | +550 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 503 | MLB | Hunter Feduccia 10 games | TB vs NYY@TBR | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 504 | MLB | Hunter Feduccia 10 games | TB vs NYY@TBR | RBI | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 505 | MLB | Isaac Collins 10 games | KC vs KCR@NYM | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 506 | MLB | Isaac Paredes 10 games | HOU vs HOU@WSN | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 507 | MLB | J.T. Realmuto 10 games | PHI vs PHI@CIN | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 508 | MLB | J.T. Realmuto 10 games | PHI vs PHI@CIN | RBI | 0.5 | +220 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 509 | MLB | Jackson Chourio 10 games | MIL vs MIL@STL | H | 1.5 | +170 | 1 | -0.5 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 510 | MLB | Jackson Chourio 10 games | MIL vs MIL@STL | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 511 | MLB | Jackson Merrill 10 games | SD vs ARI@SDP | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 512 | MLB | Jacob Young 10 games | WSH vs HOU@WSN | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 513 | MLB | Jake Bauers 10 games | MIL vs MIL@STL | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 514 | MLB | Jake Burger 10 games | TEX vs LAA@TEX | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 515 | MLB | Jake Burger 10 games | TEX vs LAA@TEX | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 516 | MLB | Jake Cronenworth 9 games | SD vs ARI@SDP | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 517 | MLB | Jake Mangum 10 games | PIT vs ATL@PIT | RBI | 0.5 | +243 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 518 | MLB | Jake McCarthy 10 games | COL vs COL@LAD | HR | 0.5 | +850 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 519 | MLB | Jakob Marsee 10 games | MIA vs SEA@MIA | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 520 | MLB | James Jarvis 4 games | vs ATL@PIT | RBI | 0.5 | +230 | 0.3 | -0.3 | 1/4 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 521 | MLB | Jared Young 10 games | NYM vs KCR@NYM | RBI | 0.5 | +214 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 522 | MLB | Jarren Duran 10 games | BOS vs BOS@CHW | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 523 | MLB | Jeff McNeil 10 games | OAK vs ATHLETICS@ | H | 0.5 | -133 | 0.4 | -0.1 | 2/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 524 | MLB | JJ Wetherholt 10 games | STL vs MIL@STL | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 525 | MLB | JJ Wetherholt 10 games | STL vs MIL@STL | RBI | 0.5 | +247 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 526 | MLB | Jo Adell 10 games | LAA vs LAA@TEX | RBI | 0.5 | +211 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 5.0 | WIN | LOSS | |
| 527 | MLB | Joc Pederson 10 games | TEX vs LAA@TEX | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 528 | MLB | Joe Mack 10 games | MIA vs SEA@MIA | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 529 | MLB | Joe Mack 10 games | MIA vs SEA@MIA | RBI | 0.5 | +271 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 530 | MLB | Joey Ortiz 10 games | MIL vs MIL@STL | HR | 0.5 | +1200 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 531 | MLB | Jordan Walker 10 games | STL vs MIL@STL | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 532 | MLB | Jose Caballero 10 games | NYY vs NYY@TBR | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 533 | MLB | Jose Caballero 10 games | NYY vs NYY@TBR | HR | 0.5 | +900 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 534 | MLB | Jose Siri 10 games | LAA vs LAA@TEX | H | 0.5 | +102 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 535 | MLB | Jose Siri 10 games | LAA vs LAA@TEX | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 536 | MLB | Jose Siri 10 games | LAA vs LAA@TEX | RBI | 0.5 | +294 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 537 | MLB | Josh Jung 10 games | TEX vs LAA@TEX | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 538 | MLB | Jung Hoo Lee 10 games | SF vs TOR@SFG | RBI | 0.5 | +254 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 539 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@SFG | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 540 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@SFG | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 4.0 | WIN | LOSS | |
| 541 | MLB | Kevin McGonigle 10 games | DET vs ATHLETICS@ | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 542 | MLB | Kyle Karros 10 games | COL vs COL@LAD | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 543 | MLB | Kyle Schwarber 10 games | PHI vs PHI@CIN | HR | 0.5 | +210 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 544 | MLB | Kyle Schwarber 10 games | PHI vs PHI@CIN | RBI | 0.5 | +140 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 545 | MLB | Lane Thomas 10 games | KC vs KCR@NYM | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 546 | MLB | Lawrence Butler 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +222 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 547 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@TEX | RBI | 0.5 | +270 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 548 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@SDP | RBI | 0.5 | +229 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 549 | MLB | Luke Raley 10 games | SEA vs SEA@MIA | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 550 | MLB | Manny Machado 10 games | SD vs ARI@SDP | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING |
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.