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 | Willson Contreras 10 games | BOS vs BAL@BOS | H | 0.5 | -200 | 1.2 | +0.7 | 4/5 | +0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 252 | MLB | Willy Adames 10 games | SF vs SFG@KCR | TB | 1.5 | +140 | 2.4 | +0.9 | 3/5 | -0.6 | 52 | F | 2.0 | WIN | LOSS | |
| 253 | MLB | Zach Neto 10 games | LAA vs STL@LAA | H | 0.5 | -240 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 1.0 | WIN | LOSS | |
| 254 | MLB | Austin Riley 10 games | ATL vs SDP@ATL | RBI | 0.5 | +180 | 1 | +0.5 | 2/5 | +0.7 | 51 | F | 1.0 | WIN | LOSS | |
| 255 | MLB | Dillon Dingler 10 games | DET vs DET@CHC | RBI | 0.5 | +188 | 1 | +0.5 | 2/5 | +1.2 | 51 | F | 0.0 | LOSS | WIN | |
| 256 | MLB | Francisco Alvarez 10 games | NYM vs NYM@MIL | TB | 1.5 | +220 | 2.2 | +0.7 | 2/5 | +1.3 | 51 | F | 1.0 | LOSS | WIN | |
| 257 | MLB | Gunnar Henderson 10 games | BAL vs BAL@BOS | TB | 1.5 | +120 | 2 | +0.5 | 2/5 | +0.7 | 51 | F | 3.0 | WIN | LOSS | |
| 258 | MLB | Hunter Goodman 10 games | COL vs WSN@COL | RBI | 0.5 | +114 | 1.2 | +0.7 | 2/5 | +1.4 | 51 | F | 0.0 | LOSS | WIN | |
| 259 | MLB | Jackson Merrill 10 games | SD vs SDP@ATL | RBI | 0.5 | +200 | 1 | +0.5 | 2/5 | +0.9 | 51 | F | 1.0 | WIN | LOSS | |
| 260 | MLB | Jacob Young 10 games | WSH vs WSN@COL | TB | 1.5 | +147 | 2 | +0.5 | 2/5 | +0.8 | 51 | F | 0.0 | LOSS | WIN | |
| 261 | MLB | Jo Adell 10 games | LAA vs STL@LAA | TB | 1.5 | +133 | 2 | +0.5 | 2/5 | +1.4 | 51 | F | 0.0 | LOSS | WIN | |
| 262 | MLB | Ketel Marte 10 games | AZ vs Athletics@ | R | 0.5 | -140 | 0.8 | +0.3 | 4/5 | +0.5 | 51 | F | 1.0 | WIN | LOSS | |
| 263 | MLB | Kyle Bradish 9 games | BAL vs BAL@BOS | K | 5.5 | +128 | 6.6 | +1.1 | 2/5 | -1.3 | 51 | F | 4.0 | LOSS | WIN | |
| 264 | MLB | Nicky Lopez 10 games | TEX vs CHW@TEX | H | 0.5 | -150 | 1.2 | +0.7 | 3/5 | +0.8 | 51 | F | 0.0 | LOSS | WIN | |
| 265 | MLB | Nico Hoerner 10 games | CHC vs DET@CHC | RBI | 0.5 | +236 | 1 | +0.5 | 2/5 | +0.8 | 51 | F | 0.0 | LOSS | WIN | |
| 266 | MLB | Patrick Bailey 10 games | CLE vs MIN@CLE | TB | 1.5 | +225 | 2.2 | +0.7 | 2/5 | +0.8 | 51 | F | 1.0 | LOSS | WIN | |
| 267 | MLB | Travis Bazzana 10 games | CLE vs MIN@CLE | TB | 1.5 | +125 | 2.4 | +0.9 | 2/5 | +0.7 | 51 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Alejandro Osuna 10 games | TEX vs CHW@TEX | H | 0.5 | -125 | 1 | +0.5 | 3/5 | +0.1 | 50 | F | 1.0 | WIN | LOSS | |
| 269 | MLB | Brewer Hicklen 4 games | ATL vs SDP@ATL | H | 0.5 | -135 | 1.3 | +0.8 | 3/4 | -0.3 | 50 | F | 2.0 | WIN | LOSS | |
| 270 | MLB | Cooper Pratt 10 games | MIL vs NYM@MIL | H | 0.5 | -125 | 1 | +0.5 | 3/5 | +0.4 | 50 | F | 0.0 | LOSS | WIN | |
| 271 | MLB | Daylen Lile 10 games | WSH vs WSN@COL | TB | 1.5 | -125 | 2.2 | +0.7 | 3/5 | +0.3 | 50 | F | 0.0 | LOSS | WIN | |
| 272 | MLB | James Jarvis 10 games | vs SDP@ATL | H | 0.5 | -129 | 1 | +0.5 | 3/5 | -0.4 | 50 | F | 2.0 | WIN | LOSS | |
| 273 | MLB | Wyatt Langford 10 games | TEX vs CHW@TEX | R | 0.5 | -130 | 1 | +0.5 | 3/5 | +0.4 | 50 | F | 0.0 | LOSS | WIN | |
| 274 | MLB | Alec Bohm 10 games | PHI vs LAD@PHI | H | 0.5 | -250 | 1.4 | +0.9 | 3/5 | +0.8 | 49 | F | 2.0 | WIN | LOSS | |
| 275 | MLB | Alec Bohm 10 games | PHI vs LAD@PHI | RBI | 0.5 | +166 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 3.0 | WIN | LOSS | |
| 276 | MLB | Alec Burleson 10 games | STL vs STL@LAA | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 277 | MLB | Alec Burleson 10 games | STL vs STL@LAA | TB | 1.5 | +120 | 1.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 278 | MLB | Alex Bregman 10 games | CHC vs DET@CHC | H | 0.5 | -190 | 1 | +0.5 | 3/5 | +0.8 | 49 | F | 0.0 | LOSS | WIN | |
| 279 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | H | 0.5 | -182 | 1 | +0.5 | 3/5 | +1 | 49 | F | 1.0 | WIN | LOSS | |
| 280 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 281 | MLB | Brayan Rocchio 10 games | CLE vs MIN@CLE | R | 0.5 | +140 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 1.0 | WIN | LOSS | |
| 282 | MLB | Brice Turang 10 games | MIL vs NYM@MIL | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 283 | MLB | Bryan Reynolds 10 games | PIT vs PIT@NYY | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 284 | MLB | Cameron Cauley 10 games | TEX vs CHW@TEX | R | 0.5 | +165 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 285 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 286 | MLB | Colson Montgomery 10 games | CWS vs CHW@TEX | R | 0.5 | +110 | 0.8 | +0.3 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 287 | MLB | Dansby Swanson 10 games | CHC vs DET@CHC | TB | 1.5 | +180 | 1.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 288 | MLB | Elly De La Cruz 10 games | CIN vs CIN@SEA | H | 0.5 | -189 | 1.4 | +0.9 | 4/5 | -0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 289 | MLB | Enmanuel Valdez 10 games | PIT vs PIT@NYY | HR | 0.5 | +350 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 290 | MLB | Esmerlyn Valdez 10 games | PIT vs PIT@NYY | HR | 0.5 | +325 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 291 | MLB | Ezequiel Duran 10 games | TEX vs CHW@TEX | R | 0.5 | +145 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 292 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@ATL | H | 1.5 | +190 | 1.8 | +0.3 | 3/5 | +0.4 | 49 | F | 1.0 | LOSS | WIN | |
| 293 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@ATL | HR | 0.5 | +450 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 294 | MLB | Francisco Lindor 10 games | NYM vs NYM@MIL | H | 0.5 | -165 | 1.4 | +0.9 | 3/5 | +1.2 | 49 | F | 1.0 | WIN | LOSS | |
| 295 | MLB | Gabriel Hughes 3 games | COL vs WSN@COL | K | 4.5 | +125 | 4.7 | +0.2 | 2/3 | +0 | 49 | F | 5.0 | WIN | LOSS | |
| 296 | MLB | Gabriel Moreno 10 games | AZ vs Athletics@ | H | 0.5 | -250 | 1.2 | +0.7 | 4/5 | -0.7 | 49 | F | 1.0 | WIN | LOSS | |
| 297 | MLB | Garrett Mitchell 10 games | MIL vs NYM@MIL | RBI | 0.5 | +210 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 298 | MLB | George Springer 10 games | TOR vs TBR@TOR | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 299 | MLB | Gerrit Cole 9 games | NYY vs PIT@NYY | K | 5.5 | -250 | 6.2 | +0.7 | 3/5 | +1.1 | 49 | F | 11.0 | WIN | LOSS | |
| 300 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | H | 1.5 | +170 | 1.8 | +0.3 | 3/5 | +0.1 | 49 | 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.