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 | Ernie Clement 10 games | TOR vs TOR@SFG | H | 1.5 | +220 | 1 | -0.5 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 402 | MLB | Evan Carter 10 games | TEX vs LAA@TEX | H | 0.5 | -138 | 0.6 | +0.1 | 2/5 | -0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 403 | MLB | Ezequiel Tovar 10 games | COL vs COL@LAD | H | 0.5 | -140 | 0.8 | +0.3 | 2/5 | -0.2 | 35 | F | 0.0 | LOSS | WIN | |
| 404 | MLB | Heliot Ramos 10 games | SF vs TOR@SFG | RBI | 1.5 | +1000 | 1 | -0.5 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@SDP | H | 0.5 | -150 | 0.8 | +0.3 | 2/5 | -0.2 | 35 | F | 1.0 | WIN | LOSS | |
| 406 | MLB | Jose Caballero 10 games | NYY vs NYY@TBR | RBI | 1.5 | +900 | 1 | -0.5 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Pete Alonso 10 games | BAL vs CHC@BAL | H | 1.5 | +230 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 408 | MLB | Shohei Ohtani 9 games | LAD vs COL@LAD | H | 1.5 | +193 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | TJ Friedl 10 games | CIN vs PHI@CIN | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | +0 | 35 | F | 0.0 | LOSS | WIN | |
| 410 | MLB | Chandler Simpson 10 games | TB vs NYY@TBR | H | 1.5 | +240 | 1.4 | -0.1 | 2/5 | -0.5 | 34 | F | 1.0 | LOSS | WIN | |
| 411 | MLB | Dansby Swanson 10 games | CHC vs CHC@BAL | RBI | 1.5 | +600 | 1.8 | +0.3 | 1/5 | -0.9 | 34 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Jake Mangum 10 games | PIT vs ATL@PIT | H | 1.5 | +180 | 1.4 | -0.1 | 2/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Junior Caminero 10 games | TB vs NYY@TBR | HR | 0.5 | +250 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Junior Caminero 10 games | TB vs NYY@TBR | RBI | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -1 | 34 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Michael Conforto 10 games | CHC vs CHC@BAL | RBI | 0.5 | +212 | 0.8 | +0.3 | 1/5 | -0.7 | 34 | F | 1.0 | WIN | LOSS | |
| 416 | MLB | Nathan Church 10 games | STL vs MIL@STL | RBI | 0.5 | +295 | 0.6 | +0.1 | 1/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Seiya Suzuki 10 games | CHC vs CHC@BAL | RBI | 0.5 | +175 | 0.6 | +0.1 | 1/5 | -1.1 | 34 | F | 3.0 | WIN | LOSS | |
| 418 | MLB | Alejandro Kirk 10 games | TOR vs TOR@SFG | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.5 | 33 | F | 1.0 | WIN | LOSS | |
| 419 | MLB | Alejandro Osuna 10 games | TEX vs LAA@TEX | H | 0.5 | -155 | 0.8 | +0.3 | 2/5 | -0.5 | 33 | F | 1.0 | WIN | LOSS | |
| 420 | MLB | Dalton Rushing 10 games | LAD vs COL@LAD | H | 0.5 | -165 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | — | PENDING | PENDING | |
| 421 | MLB | Kyle Tucker 10 games | LAD vs COL@LAD | H | 0.5 | -190 | 0.8 | +0.3 | 2/5 | +0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 422 | MLB | Mickey Moniak 10 games | COL vs COL@LAD | H | 0.5 | -180 | 0.8 | +0.3 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Vaughn Grissom 10 games | LAA vs LAA@TEX | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | 4.0 | WIN | LOSS | |
| 424 | MLB | William Contreras 10 games | MIL vs MIL@STL | H | 0.5 | -250 | 0.8 | +0.3 | 2/5 | +0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Yandy Diaz 10 games | TB vs NYY@TBR | H | 0.5 | -300 | 0.6 | +0.1 | 2/5 | -0.1 | 33 | F | 4.0 | WIN | LOSS | |
| 426 | MLB | Alec Bohm 10 games | PHI vs PHI@CIN | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Alejandro Kirk 10 games | TOR vs TOR@SFG | H | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 428 | MLB | Alejandro Osuna 10 games | TEX vs LAA@TEX | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Alex Bregman 10 games | CHC vs CHC@BAL | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 430 | MLB | Ali Sanchez 10 games | NYY vs NYY@TBR | H | 0.5 | +100 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 431 | MLB | Ali Sanchez 10 games | NYY vs NYY@TBR | RBI | 0.5 | +362 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 432 | MLB | Amed Rosario 10 games | NYY vs NYY@TBR | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Amed Rosario 10 games | NYY vs NYY@TBR | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 434 | MLB | Austin Riley 10 games | ATL vs ATL@PIT | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Blaze Alexander 10 games | BAL vs CHC@BAL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@NYM | RBI | 0.5 | +165 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | Brandon Lowe 10 games | PIT vs ATL@PIT | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Brandon Nimmo 10 games | TEX vs LAA@TEX | RBI | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 439 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIN | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 440 | MLB | Brett Baty 10 games | NYM vs KCR@NYM | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 441 | MLB | Brice Matthews 10 games | HOU vs HOU@WSN | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Bryce Eldridge 10 games | SF vs TOR@SFG | H | 1.5 | +500 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Bryce Eldridge 10 games | SF vs TOR@SFG | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Bryce Eldridge 10 games | SF vs TOR@SFG | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Cal Raleigh 10 games | SEA vs SEA@MIA | HR | 0.5 | +275 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Caleb Durbin 10 games | BOS vs BOS@CHW | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Carlos Cortes 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +257 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Carlos Narvaez 10 games | BOS vs BOS@CHW | RBI | 0.5 | +261 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 449 | MLB | Carson Benge 10 games | NYM vs KCR@NYM | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Carson Kelly 10 games | CHC vs CHC@BAL | H | 1.5 | +320 | 1 | -0.5 | 1/5 | +0.4 | 32 | 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.