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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | RBI | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 302 | MLB | Nolan Arenado 10 games | AZ vs STL@ARI | HR | 0.5 | +800 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 303 | MLB | Pete Alonso 10 games | BAL vs BAL@HOU | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 304 | MLB | Randy Arozarena 10 games | AL vs SFG@SEA | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 305 | MLB | Royce Lewis 10 games | MIN vs MIN@CHC | HR | 0.5 | +350 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 306 | MLB | Ryan Jeffers 3 games | MIN vs MIN@CHC | RBI | 0.5 | +156 | 0.7 | +0.2 | 1/3 | +0 | 37 | F | 3.0 | WIN | LOSS | |
| 307 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@CLE | HR | 0.5 | +550 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | — | PENDING | PENDING | |
| 308 | MLB | Ryan Vilade 10 games | TB vs TBR@BOS | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 309 | MLB | Salvador Perez 10 games | KC vs SDP@KCR | RBI | 0.5 | +185 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 310 | MLB | Sam Antonacci 10 games | CWS vs CHW@TOR | RBI | 0.5 | +237 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 311 | MLB | Samuel Basallo 10 games | BAL vs BAL@HOU | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 312 | MLB | Seiya Suzuki 10 games | CHC vs MIN@CHC | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 313 | MLB | Spencer Torkelson 10 games | DET vs DET@LAA | HR | 0.5 | +375 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 314 | MLB | Taylor Ward 10 games | BAL vs BAL@HOU | RBI | 0.5 | +215 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 2.0 | WIN | LOSS | |
| 315 | MLB | Vinnie Pasquantino 10 games | KC vs SDP@KCR | RBI | 0.5 | +157 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 316 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs CHW@TOR | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 317 | MLB | Willson Contreras 10 games | AL vs TBR@BOS | HR | 0.5 | +400 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 318 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | RBI | 0.5 | +259 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 319 | MLB | Yainer Diaz 10 games | HOU vs BAL@HOU | HR | 0.5 | +800 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 320 | MLB | Yordan Alvarez 10 games | AL vs BAL@HOU | HR | 0.5 | +220 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 321 | MLB | Coby Mayo 10 games | BAL vs BAL@HOU | H | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.2 | 36 | F | 1.0 | WIN | LOSS | |
| 322 | MLB | Sal Frelick 10 games | MIL vs MIA@MIL | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | +0.6 | 36 | F | 0.0 | LOSS | WIN | |
| 323 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | H | 0.5 | -149 | 0.6 | +0.1 | 2/5 | -0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 324 | MLB | Eugenio Suarez 10 games | CIN vs CIN@COL | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 325 | MLB | Hao-Yu Lee 10 games | DET vs DET@LAA | H | 0.5 | -149 | 0.6 | +0.1 | 2/5 | +0.3 | 35 | F | 1.0 | WIN | LOSS | |
| 326 | MLB | Jared Triolo 10 games | PIT vs PIT@CLE | H | 0.5 | -140 | 0.8 | +0.3 | 2/5 | +0.2 | 35 | F | — | PENDING | PENDING | |
| 327 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | H | 0.5 | -148 | 0.6 | +0.1 | 2/5 | -0.1 | 35 | F | 1.0 | WIN | LOSS | |
| 328 | MLB | Justin Foscue 10 games | TEX vs TEX@ATL | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.5 | 35 | F | 1.0 | WIN | LOSS | |
| 329 | MLB | Brice Matthews 10 games | HOU vs BAL@HOU | H | 0.5 | -111 | 0.4 | -0.1 | 2/5 | -0.4 | 34 | F | — | PENDING | PENDING | |
| 330 | MLB | Jake McCarthy 10 games | COL vs CIN@COL | RBI | 0.5 | +149 | 0.4 | -0.1 | 2/5 | -0.5 | 34 | F | 0.0 | LOSS | WIN | |
| 331 | MLB | Joe Mack 10 games | MIA vs MIA@MIL | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | +0.2 | 34 | F | 0.0 | LOSS | WIN | |
| 332 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | RBI | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 333 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | RBI | 0.5 | +175 | 0.4 | -0.1 | 2/5 | -0.8 | 34 | F | 0.0 | LOSS | WIN | |
| 334 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | H | 0.5 | -115 | 0.4 | -0.1 | 2/5 | -0.1 | 34 | F | 1.0 | WIN | LOSS | |
| 335 | MLB | Noelvi Marte 10 games | CIN vs CIN@COL | RBI | 0.5 | +174 | 0.8 | +0.3 | 1/5 | -0.7 | 34 | F | 0.0 | LOSS | WIN | |
| 336 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | RBI | 0.5 | +220 | 0.4 | -0.1 | 2/5 | -0.6 | 34 | F | 0.0 | LOSS | WIN | |
| 337 | MLB | Alan Roden 5 games | MIN vs MIN@CHC | H | 0.5 | -160 | 0.6 | +0.1 | 2/5 | -0.3 | 33 | F | 0.0 | LOSS | WIN | |
| 338 | MLB | Alex Bregman 10 games | CHC vs MIN@CHC | H | 0.5 | -235 | 0.8 | +0.3 | 2/5 | +0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 339 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | H | 0.5 | -229 | 0.8 | +0.3 | 2/5 | -0.2 | 33 | F | 1.0 | WIN | LOSS | |
| 340 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | H | 0.5 | -180 | 0.6 | +0.1 | 2/5 | -0.1 | 33 | F | 0.0 | LOSS | WIN | |
| 341 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | H | 0.5 | -165 | 0.6 | +0.1 | 2/5 | +0.2 | 33 | F | 0.0 | LOSS | WIN | |
| 342 | MLB | Matt Vierling 10 games | DET vs DET@LAA | H | 0.5 | -200 | 0.8 | +0.3 | 2/5 | +0.3 | 33 | F | 2.0 | WIN | LOSS | |
| 343 | MLB | Noelvi Marte 10 games | CIN vs CIN@COL | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | -0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 344 | MLB | TJ Friedl 10 games | CIN vs CIN@COL | H | 0.5 | -220 | 0.6 | +0.1 | 2/5 | +0.4 | 33 | F | 0.0 | LOSS | WIN | |
| 345 | MLB | Alec Burleson 10 games | STL vs STL@ARI | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 346 | MLB | Andy Pages 10 games | NL vs LAD@NYY | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 347 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 348 | MLB | Austin Riley 10 games | ATL vs TEX@ATL | RBI | 0.5 | +218 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 349 | MLB | Blaze Jordan 10 games | STL vs STL@ARI | RBI | 0.5 | +216 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 350 | MLB | Bobby Witt Jr. 10 games | AL vs SDP@KCR | H | 1.5 | +160 | 0.8 | -0.7 | 1/5 | -0.3 | 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.