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 | Geraldo Perdomo 10 games | AZ vs ARI@SDP | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 402 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@SDP | RBI | 0.5 | +249 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 403 | MLB | Griffin Conine 10 games | MIA vs SEA@MIA | H | 0.5 | -125 | 0.4 | -0.1 | 2/5 | +-0 | 32 | F | 3.0 | WIN | LOSS | |
| 404 | MLB | Gunnar Henderson 10 games | BAL vs CHC@BAL | RBI | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Hao-Yu Lee 10 games | DET vs ATHLETICS@ | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | Hao-Yu Lee 10 games | DET vs ATHLETICS@ | RBI | 0.5 | +246 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Heliot Ramos 10 games | SF vs COL@SFG | HR | 0.5 | +575 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Henry Bolte 10 games | OAK vs ATHLETICS@ | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Henry Bolte 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +240 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 410 | MLB | Henry Davis 10 games | PIT vs ATL@PIT | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 411 | 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 | |
| 412 | MLB | Isaac Collins 10 games | KC vs KCR@NYM | RBI | 0.5 | +225 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Ivan Herrera 10 games | STL vs MIL@STL | RBI | 0.5 | +237 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Jackson Chourio 10 games | MIL vs MIL@STL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Jake Bauers 10 games | MIL vs MIL@STL | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 416 | MLB | Jake Burger 10 games | TEX vs LAA@TEX | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Jake Burger 10 games | TEX vs LAA@TEX | RBI | 0.5 | +173 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 418 | MLB | Jake Cronenworth 10 games | SD vs ARI@SDP | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Jake Mangum 10 games | PIT vs ATL@PIT | RBI | 0.5 | +238 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 420 | MLB | Jakob Marsee 10 games | MIA vs SEA@MIA | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 421 | MLB | James Jarvis 4 games | vs ATL@PIT | RBI | 0.5 | +252 | 0.3 | -0.3 | 1/4 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 422 | MLB | James Outman 10 games | DET vs ATHLETICS@ | H | 0.5 | +117 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Jared Triolo 10 games | PIT vs ATL@PIT | H | 1.5 | +340 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 424 | 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 | |
| 425 | MLB | JJ Bleday 10 games | CIN vs PHI@CIN | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 426 | MLB | JJ Bleday 10 games | CIN vs PHI@CIN | RBI | 0.5 | +247 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | JJ Wetherholt 10 games | STL vs MIL@STL | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 428 | MLB | JJ Wetherholt 10 games | STL vs MIL@STL | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Jo Adell 10 games | LAA vs LAA@TEX | HR | 0.5 | +550 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 430 | MLB | Joe Mack 10 games | MIA vs SEA@MIA | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 431 | MLB | Joe Mack 10 games | MIA vs SEA@MIA | RBI | 0.5 | +298 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 432 | 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 | |
| 433 | MLB | Jonny Deluca 10 games | TB vs NYY@TBR | RBI | 0.5 | +200 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 434 | MLB | Jordan Walker 10 games | STL vs MIL@STL | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 435 | MLB | Jose Caballero 10 games | NYY vs NYY@TBR | HR | 0.5 | +1200 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Josh Bell 10 games | MIN vs CLE@MIN | HR | 0.5 | +475 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | Josh Jung 10 games | TEX vs LAA@TEX | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Josh Lowe 10 games | LAA vs LAA@TEX | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 439 | MLB | Jung Hoo Lee 10 games | SF vs COL@SFG | RBI | 0.5 | +169 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Junior Caminero 10 games | TB vs NYY@TBR | HR | 0.5 | +275 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 441 | MLB | Justin Crawford 10 games | PHI vs PHI@CIN | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 442 | MLB | Justin Foscue 10 games | TEX vs LAA@TEX | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 443 | MLB | Kahlil Watson 10 games | CLE vs CLE@MIN | RBI | 0.5 | +186 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Kevin Alcantara 10 games | CHC vs CHC@BAL | RBI | 0.5 | +280 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 445 | MLB | Kevin McGonigle 10 games | DET vs ATHLETICS@ | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Kyle Higashioka 9 games | TEX vs LAA@TEX | H | 0.5 | -129 | 0.4 | -0.1 | 2/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 447 | MLB | Kyle Higashioka 9 games | TEX vs LAA@TEX | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Kyle Teel 10 games | CWS vs BOS@CHW | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Lane Thomas 10 games | KC vs KCR@NYM | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 450 | MLB | Leody Taveras 10 games | BAL vs CHC@BAL | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | 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.