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 | Jimmy Crooks 10 games | STL vs COL@STL | H | 0.5 | -119 | 0.8 | +0.3 | 3/5 | +0.7 | 49 | F | 1.0 | WIN | LOSS | |
| 252 | MLB | Joe Mack 10 games | MIA vs LAA@MIA | RBI | 0.5 | +196 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 253 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@PHI | R | 0.5 | +167 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 254 | MLB | Luis Arraez 10 games | PHI vs TOR@PHI | RBI | 0.5 | +169 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | Luke Keaschall 10 games | MIN vs MIN@MIL | R | 0.5 | +190 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 256 | MLB | Luke Keaschall 10 games | MIN vs MIN@MIL | RBI | 0.5 | +298 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 257 | MLB | Masataka Yoshida 10 games | BOS vs Athletics@ | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 258 | MLB | Masataka Yoshida 10 games | BOS vs Athletics@ | RBI | 0.5 | +169 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 2.0 | WIN | LOSS | |
| 259 | MLB | Matt Olson 10 games | ATL vs ATL@NYY | HR | 0.5 | +375 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 260 | MLB | Matt Olson 10 games | ATL vs ATL@NYY | RBI | 0.5 | +174 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 261 | MLB | Max Clark 6 games | DET vs DET@SFG | H | 0.5 | -180 | 1 | +0.5 | 4/5 | -0.7 | 49 | F | 1.0 | WIN | LOSS | |
| 262 | MLB | Michael Harris II 10 games | ATL vs ATL@NYY | H | 0.5 | -200 | 1.2 | +0.7 | 3/5 | +1 | 49 | F | 0.0 | LOSS | WIN | |
| 263 | MLB | Michael Massey 10 games | KC vs CHC@KCR | RBI | 0.5 | +240 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 264 | MLB | Mickey Moniak 10 games | COL vs COL@STL | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 265 | MLB | Noelvi Marte 10 games | CIN vs CIN@WSN | R | 0.5 | +138 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 266 | MLB | Nolan Arenado 10 games | AZ vs LAD@ARI | R | 0.5 | +180 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 267 | MLB | Osleivis Basabe 7 games | SF vs DET@SFG | HR | 0.5 | +700 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Osleivis Basabe 7 games | SF vs DET@SFG | R | 0.5 | +200 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 269 | MLB | Otto Lopez 10 games | MIA vs LAA@MIA | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 270 | MLB | Riley Greene 10 games | DET vs DET@SFG | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 271 | MLB | Ryan McMahon 10 games | NYY vs ATL@NYY | H | 0.5 | -115 | 0.8 | +0.3 | 3/5 | +0.5 | 49 | F | 2.0 | WIN | LOSS | |
| 272 | MLB | Sal Stewart 10 games | CIN vs CIN@WSN | RBI | 0.5 | +160 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 273 | MLB | Salvador Perez 10 games | KC vs CHC@KCR | RBI | 0.5 | +166 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 274 | MLB | Spencer Torkelson 10 games | DET vs DET@SFG | H | 0.5 | -165 | 1.2 | +0.7 | 4/5 | -0.7 | 49 | F | 3.0 | WIN | LOSS | |
| 275 | MLB | Taylor Trammell 10 games | HOU vs HOU@SDP | H | 0.5 | +120 | 0.6 | +0.1 | 3/5 | -0.5 | 49 | F | — | PENDING | PENDING | |
| 276 | MLB | Ty France 10 games | SD vs HOU@SDP | R | 0.5 | +135 | 0.8 | +0.3 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 277 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | R | 0.5 | +155 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 278 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | TB | 1.5 | +132 | 1.8 | +0.3 | 3/5 | +0 | 49 | F | 4.0 | WIN | LOSS | |
| 279 | MLB | Tyler Stephenson 10 games | CIN vs CIN@WSN | R | 0.5 | +145 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 280 | MLB | Tyler Stephenson 10 games | CIN vs CIN@WSN | RBI | 0.5 | +180 | 0.8 | +0.3 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 281 | MLB | Wade Meckler 10 games | LAA vs LAA@MIA | TB | 1.5 | +170 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 282 | MLB | William Contreras 10 games | MIL vs MIN@MIL | TB | 1.5 | +128 | 1.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 283 | MLB | Wyatt Langford 10 games | TEX vs BAL@TEX | R | 0.5 | +100 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 284 | MLB | Yainer Diaz 10 games | HOU vs HOU@SDP | H | 1.5 | +300 | 1.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 285 | MLB | Yandy Diaz 10 games | TB vs TBR@SEA | H | 1.5 | +200 | 1.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 286 | MLB | Yordan Alvarez 10 games | HOU vs HOU@SDP | R | 0.5 | +100 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 287 | MLB | Zack Wheeler 10 games | PHI vs TOR@PHI | K | 7.5 | +230 | 8.4 | +0.9 | 3/5 | -1.8 | 49 | F | 6.0 | LOSS | WIN | |
| 288 | MLB | Alejandro Kirk 10 games | TOR vs TOR@PHI | TB | 1.5 | +175 | 2 | +0.5 | 2/5 | +0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 289 | MLB | Brenton Doyle 5 games | CWS vs CLE@CHW | H | 0.5 | -138 | 0.8 | +0.3 | 4/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 290 | MLB | Cal Raleigh 10 games | SEA vs TBR@SEA | H | 0.5 | -105 | 0.6 | +0.1 | 3/5 | +0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 291 | MLB | Cedric Mullins 10 games | TB vs TBR@SEA | H | 0.5 | -105 | 0.8 | +0.3 | 3/5 | +0.2 | 48 | F | — | PENDING | PENDING | |
| 292 | MLB | Gleyber Torres 10 games | DET vs DET@SFG | TB | 1.5 | +140 | 2.4 | +0.9 | 2/5 | +0 | 48 | F | 1.0 | LOSS | WIN | |
| 293 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 0.5 | -140 | 1.4 | +0.9 | 3/5 | +0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 294 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | TB | 1.5 | +170 | 2.2 | +0.7 | 2/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 295 | MLB | Jacob Young 10 games | WSH vs CIN@WSN | H | 0.5 | -140 | 1 | +0.5 | 3/5 | +0.3 | 48 | F | 1.0 | WIN | LOSS | |
| 296 | MLB | Jake McCarthy 10 games | COL vs COL@STL | RBI | 0.5 | +254 | 1 | +0.5 | 2/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 297 | MLB | Jakob Marsee 10 games | MIA vs LAA@MIA | H | 0.5 | -150 | 0.8 | +0.3 | 4/5 | +-0 | 48 | F | 2.0 | WIN | LOSS | |
| 298 | MLB | Jimmy Crooks 10 games | STL vs COL@STL | TB | 1.5 | +220 | 1.6 | +0.1 | 2/5 | +1.6 | 48 | F | 1.0 | LOSS | WIN | |
| 299 | MLB | Kyle Tucker 10 games | LAD vs LAD@ARI | TB | 1.5 | +135 | 1.8 | +0.3 | 2/5 | +1.6 | 48 | F | 1.0 | LOSS | WIN | |
| 300 | MLB | Lars Nootbaar 10 games | AZ vs LAD@ARI | H | 0.5 | -145 | 0.8 | +0.3 | 4/5 | +-0 | 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.