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 | Jared Triolo 10 games | PIT vs PIT@NYY | TB | 1.5 | +210 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 252 | MLB | Jazz Chisholm Jr. 10 games | NYY vs PIT@NYY | R | 0.5 | +105 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | — | PENDING | PENDING | |
| 253 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@BOS | RBI | 0.5 | +247 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 254 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | Joey Ortiz 10 games | MIL vs NYM@MIL | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 256 | MLB | Jose Altuve 10 games | HOU vs MIA@HOU | RBI | 0.5 | +219 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 257 | MLB | Josh Naylor 10 games | SEA vs CIN@SEA | R | 0.5 | +150 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 258 | MLB | Julio Rodriguez 5 games | SEA vs CIN@SEA | RBI | 0.5 | +190 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 259 | MLB | Lane Thomas 10 games | KC vs SFG@KCR | RBI | 0.5 | +185 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 260 | MLB | Lars Nootbaar 10 games | STL vs STL@LAA | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 261 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 262 | MLB | Manny Machado 10 games | SD vs SDP@ATL | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 2.0 | WIN | LOSS | |
| 263 | MLB | Manny Machado 10 games | SD vs SDP@ATL | RBI | 0.5 | +144 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 2.0 | WIN | LOSS | |
| 264 | MLB | Michael Harris II 10 games | ATL vs SDP@ATL | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 265 | MLB | Michael Massey 10 games | KC vs SFG@KCR | R | 0.5 | +155 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 266 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | TB | 1.5 | +149 | 2.2 | +0.7 | 1/5 | +1.8 | 49 | F | 0.0 | LOSS | WIN | |
| 267 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | TB | 1.5 | +155 | 1.8 | +0.3 | 3/5 | -0.1 | 49 | F | 1.0 | LOSS | WIN | |
| 268 | MLB | Nick Gonzales 10 games | PIT vs PIT@NYY | R | 0.5 | +145 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 269 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | RBI | 0.5 | +175 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 270 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | — | PENDING | PENDING | |
| 271 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 272 | MLB | Rhys Hoskins 10 games | CLE vs MIN@CLE | R | 0.5 | +125 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 273 | MLB | Rhys Hoskins 10 games | CLE vs MIN@CLE | RBI | 0.5 | +175 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 274 | MLB | Riley Greene 10 games | DET vs DET@CHC | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 275 | MLB | Ryan Jeffers 5 games | MIN vs MIN@CLE | TB | 1.5 | +141 | 1.8 | +0.3 | 3/5 | -0.1 | 49 | F | 4.0 | WIN | LOSS | |
| 276 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | TB | 1.5 | +195 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | — | PENDING | PENDING | |
| 277 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | R | 0.5 | +125 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | — | PENDING | PENDING | |
| 278 | MLB | Salvador Perez 10 games | KC vs SFG@KCR | R | 0.5 | +140 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 279 | MLB | Sam Antonacci 10 games | CWS vs CHW@TEX | RBI | 0.5 | +225 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 280 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | R | 0.5 | +135 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 281 | MLB | Tim Tawa 10 games | AZ vs Athletics@ | RBI | 0.5 | +196 | 0.8 | +0.3 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 282 | MLB | Tyler Tolbert 9 games | KC vs SFG@KCR | H | 0.5 | -210 | 2.2 | +1.7 | 3/5 | -1.1 | 49 | F | 0.0 | LOSS | WIN | |
| 283 | MLB | Willson Contreras 10 games | BOS vs BAL@BOS | R | 0.5 | +105 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 284 | MLB | Willy Adames 10 games | SF vs SFG@KCR | HR | 0.5 | +550 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 285 | MLB | Alex Bregman 10 games | CHC vs DET@CHC | RBI | 0.5 | +196 | 1.2 | +0.7 | 2/5 | -0.4 | 48 | F | 1.0 | WIN | LOSS | |
| 286 | MLB | Brandon Nimmo 10 games | TEX vs CHW@TEX | RBI | 0.5 | +175 | 1 | +0.5 | 2/5 | +0.3 | 48 | F | 2.0 | WIN | LOSS | |
| 287 | MLB | Brice Turang 10 games | MIL vs NYM@MIL | R | 0.5 | -105 | 0.6 | +0.1 | 3/5 | +-0 | 48 | F | 0.0 | LOSS | WIN | |
| 288 | MLB | Bryce Eldridge 10 games | SF vs SFG@KCR | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 289 | MLB | Christian Encarnacion-Strand 2 games | BAL vs BAL@BOS | RBI | 0.5 | +240 | 1 | +0.5 | 1/2 | +0 | 48 | F | — | PENDING | PENDING | |
| 290 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | TB | 1.5 | +155 | 2 | +0.5 | 2/5 | +0.2 | 48 | F | — | PENDING | PENDING | |
| 291 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | H | 0.5 | -147 | 1.2 | +0.7 | 3/5 | +0 | 48 | F | 1.0 | WIN | LOSS | |
| 292 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | RBI | 0.5 | +115 | 1 | +0.5 | 2/5 | -0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 293 | MLB | Derek Hill 10 games | PHI vs LAD@PHI | TB | 1.5 | +185 | 2.2 | +0.7 | 2/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 294 | MLB | Jac Caglianone 10 games | KC vs SFG@KCR | TB | 1.5 | +120 | 2 | +0.5 | 2/5 | +0.5 | 48 | F | 0.0 | LOSS | WIN | |
| 295 | MLB | Jake Cronenworth 10 games | SD vs SDP@ATL | H | 0.5 | -140 | 1.2 | +0.7 | 3/5 | -0.3 | 48 | F | 1.0 | WIN | LOSS | |
| 296 | MLB | Jake McCarthy 10 games | COL vs WSN@COL | TB | 1.5 | -138 | 2.2 | +0.7 | 3/5 | +0.3 | 48 | F | 3.0 | WIN | LOSS | |
| 297 | MLB | Jose Altuve 10 games | HOU vs MIA@HOU | TB | 1.5 | +155 | 2.4 | +0.9 | 2/5 | +0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 298 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | TB | 1.5 | +105 | 2.4 | +0.9 | 2/5 | -0.1 | 48 | F | 2.0 | WIN | LOSS | |
| 299 | MLB | Ryan Jeffers 5 games | MIN vs MIN@CLE | RBI | 0.5 | +199 | 1 | +0.5 | 2/5 | +0 | 48 | F | 1.0 | WIN | LOSS | |
| 300 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | H | 0.5 | -110 | 0.6 | +0.1 | 3/5 | -0.2 | 48 | 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.