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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 251 | MLB | Jackson Chourio 10 games | MIL vs MIL@ATL | HR | 0.5 | +425 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 252 | MLB | James Wood 10 games | WSH vs WSN@TBR | H | 0.5 | -190 | 1.2 | +0.7 | 4/5 | -0.6 | 49 | F | 0.0 | LOSS | WIN | |
| 253 | MLB | Jasson Domínguez 10 games | NYY vs CIN@NYY | TB | 1.5 | +115 | 1.6 | +0.1 | 3/5 | -0.5 | 49 | F | 3.0 | WIN | LOSS | |
| 254 | MLB | JJ Bleday 10 games | CIN vs CIN@NYY | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | Jose Caballero 10 games | NYY vs CIN@NYY | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | — | PENDING | PENDING | |
| 256 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@CHC | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 257 | MLB | Keibert Ruiz 10 games | WSH vs WSN@TBR | R | 0.5 | +200 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 258 | MLB | Ketel Marte 10 games | AZ vs MIN@ARI | H | 1.5 | +175 | 1.6 | +0.1 | 3/5 | +0 | 49 | F | 1.0 | LOSS | WIN | |
| 259 | MLB | Kyle Stowers 10 games | MIA vs SFG@MIA | H | 0.5 | -165 | 1.4 | +0.9 | 3/5 | +0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 260 | MLB | Lars Nootbaar 10 games | STL vs STL@KCR | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 261 | MLB | Marcell Ozuna 10 games | PIT vs PIT@COL | RBI | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 262 | MLB | Matt Olson 10 games | ATL vs MIL@ATL | R | 0.5 | +155 | 0.6 | +0.1 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 263 | MLB | Michael Massey 10 games | KC vs STL@KCR | R | 0.5 | +145 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 264 | MLB | Noelvi Marte 10 games | CIN vs CIN@NYY | HR | 0.5 | +850 | 0.6 | +0.1 | 3/5 | +0 | 49 | F | — | PENDING | PENDING | |
| 265 | MLB | Noelvi Marte 10 games | CIN vs CIN@NYY | R | 0.5 | +240 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | — | PENDING | PENDING | |
| 266 | MLB | Noelvi Marte 10 games | CIN vs CIN@NYY | RBI | 0.5 | +333 | 0.6 | +0.1 | 3/5 | +0 | 49 | F | — | PENDING | PENDING | |
| 267 | MLB | Paul Goldschmidt 10 games | NYY vs CIN@NYY | H | 1.5 | +200 | 1.8 | +0.3 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Paul Goldschmidt 10 games | NYY vs CIN@NYY | HR | 0.5 | +450 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 269 | MLB | Paul Goldschmidt 10 games | NYY vs CIN@NYY | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 270 | MLB | Royce Lewis 10 games | MIN vs MIN@ARI | R | 0.5 | +150 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 271 | MLB | Royce Lewis 10 games | MIN vs MIN@ARI | RBI | 0.5 | +212 | 0.8 | +0.3 | 3/5 | +-0 | 49 | F | 1.0 | WIN | LOSS | |
| 272 | MLB | Salvador Perez 10 games | KC vs STL@KCR | H | 0.5 | -200 | 1 | +0.5 | 3/5 | +0.8 | 49 | F | 1.0 | WIN | LOSS | |
| 273 | MLB | Seiya Suzuki 10 games | CHC vs TOR@CHC | R | 0.5 | +145 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 274 | MLB | Seiya Suzuki 10 games | CHC vs TOR@CHC | RBI | 0.5 | +215 | 0.6 | +0.1 | 3/5 | -0.5 | 49 | F | 2.0 | WIN | LOSS | |
| 275 | MLB | Spencer Torkelson 10 games | DET vs CHW@DET | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 276 | MLB | Travis Bazzana 10 games | CLE vs CLE@HOU | R | 0.5 | +100 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 277 | MLB | Tristan Peters 10 games | CWS vs CHW@DET | R | 0.5 | +260 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 278 | MLB | Wyatt Langford 10 games | TEX vs SDP@TEX | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | +-0 | 49 | F | 1.0 | WIN | LOSS | |
| 279 | MLB | Wyatt Langford 10 games | TEX vs SDP@TEX | RBI | 0.5 | +185 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 2.0 | WIN | LOSS | |
| 280 | MLB | Yainer Diaz 9 games | HOU vs CLE@HOU | H | 1.5 | +300 | 1.6 | +0.1 | 3/5 | -0.4 | 49 | F | 1.0 | LOSS | WIN | |
| 281 | MLB | Yandy Diaz 9 games | TB vs WSN@TBR | H | 1.5 | +190 | 1.6 | +0.1 | 3/5 | -0.4 | 49 | F | 1.0 | LOSS | WIN | |
| 282 | MLB | Zack Gelof 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +185 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 283 | MLB | Colt Keith 10 games | DET vs CHW@DET | R | 0.5 | +155 | 1 | +0.5 | 2/5 | +0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 284 | MLB | Corbin Carroll 10 games | AZ vs MIN@ARI | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | +0.1 | 48 | F | 1.0 | WIN | LOSS | |
| 285 | MLB | Corbin Carroll 10 games | AZ vs MIN@ARI | TB | 1.5 | +110 | 2.2 | +0.7 | 2/5 | -0.1 | 48 | F | 6.0 | WIN | LOSS | |
| 286 | MLB | Dylan Crews 10 games | WSH vs WSN@TBR | H | 0.5 | -150 | 0.8 | +0.3 | 4/5 | +0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 287 | MLB | Hunter Goodman 10 games | COL vs PIT@COL | RBI | 0.5 | +110 | 1.2 | +0.7 | 2/5 | -0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 288 | MLB | Ivan Herrera 10 games | STL vs STL@KCR | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | -0.4 | 48 | F | 1.0 | WIN | LOSS | |
| 289 | MLB | Jacob Misiorowski 9 games | MIL vs MIL@ATL | K | 9.5 | +180 | 10.2 | +0.7 | 2/5 | +0.4 | 48 | F | 7.0 | LOSS | WIN | |
| 290 | MLB | Jakob Marsee 10 games | MIA vs SFG@MIA | H | 0.5 | -150 | 0.8 | +0.3 | 4/5 | +0.2 | 48 | F | 1.0 | WIN | LOSS | |
| 291 | MLB | Jarren Duran 10 games | BOS vs BOS@SEA | TB | 1.5 | +160 | 2 | +0.5 | 2/5 | +0.4 | 48 | F | 1.0 | LOSS | WIN | |
| 292 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CIN@NYY | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | -0.1 | 48 | F | 2.0 | WIN | LOSS | |
| 293 | MLB | Jose Altuve 10 games | HOU vs CLE@HOU | TB | 1.5 | +175 | 2 | +0.5 | 2/5 | -0.1 | 48 | F | 6.0 | WIN | LOSS | |
| 294 | MLB | Ketel Marte 10 games | AZ vs MIN@ARI | TB | 1.5 | -110 | 1.8 | +0.3 | 3/5 | +-0 | 48 | F | 4.0 | WIN | LOSS | |
| 295 | MLB | Kody Clemens 10 games | MIN vs MIN@ARI | TB | 1.5 | +125 | 2 | +0.5 | 2/5 | +0.1 | 48 | F | 1.0 | LOSS | WIN | |
| 296 | MLB | Leody Taveras 10 games | BAL vs BAL@LAD | H | 0.5 | -145 | 0.8 | +0.3 | 4/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 297 | MLB | Nick Loftin 10 games | KC vs STL@KCR | H | 0.5 | -140 | 1.2 | +0.7 | 3/5 | +0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 298 | MLB | Ozzie Albies 10 games | ATL vs MIL@ATL | H | 0.5 | -138 | 1 | +0.5 | 3/5 | -0.3 | 48 | F | 1.0 | WIN | LOSS | |
| 299 | MLB | Taylor Walls 10 games | TB vs WSN@TBR | H | 0.5 | -110 | 0.6 | +0.1 | 3/5 | -0.4 | 48 | F | 1.0 | WIN | LOSS | |
| 300 | MLB | TJ Rumfield 10 games | COL vs PIT@COL | R | 0.5 | -110 | 0.8 | +0.3 | 3/5 | -0.4 | 48 | F | 1.0 | WIN | LOSS |
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.