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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 201 | MLB | Braden Montgomery 10 games | CWS vs HOU@CHW | H | 0.5 | -175 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 3.0 | WIN | LOSS | |
| 202 | MLB | Brayan Rocchio 10 games | CLE vs CLE@TBR | H | 0.5 | -175 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 2.0 | WIN | LOSS | |
| 203 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | H | 0.5 | -180 | 1.2 | +0.7 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 204 | MLB | Bryce Miller 9 games | SEA vs SEA@TEX | K | 6.5 | +145 | 7 | +0.5 | 3/5 | -1.1 | 52 | F | 0.0 | LOSS | WIN | |
| 205 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | H | 0.5 | -230 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 206 | MLB | Chase DeLauter 10 games | CLE vs CLE@TBR | TB | 1.5 | +145 | 2.2 | +0.7 | 3/5 | -1.5 | 52 | F | 2.0 | WIN | LOSS | |
| 207 | MLB | Christian Yelich 10 games | MIL vs COL@MIL | H | 0.5 | -220 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 208 | MLB | CJ Abrams 10 games | WSH vs ARI@WSN | H | 1.5 | +240 | 1.8 | +0.3 | 3/5 | +0.9 | 52 | F | 2.0 | WIN | LOSS | |
| 209 | MLB | CJ Abrams 10 games | WSH vs ARI@WSN | HR | 0.5 | +550 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 210 | MLB | CJ Abrams 10 games | WSH vs ARI@WSN | RBI | 1.5 | +500 | 1.6 | +0.1 | 3/5 | +1.1 | 52 | F | 0.0 | LOSS | WIN | |
| 211 | MLB | Curtis Mead 10 games | WSH vs ARI@WSN | H | 0.5 | -205 | 1.6 | +1.1 | 3/5 | -0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 212 | MLB | Drake Baldwin 10 games | ATL vs ATL@BAL | H | 0.5 | -225 | 1.6 | +1.1 | 3/5 | -0.5 | 52 | F | 1.0 | WIN | LOSS | |
| 213 | MLB | Dylan Crews 10 games | WSH vs ARI@WSN | TB | 1.5 | +136 | 1.6 | +0.1 | 3/5 | +1.1 | 52 | F | 5.0 | WIN | LOSS | |
| 214 | MLB | Ernie Clement 10 games | TOR vs TOR@BOS | H | 0.5 | -350 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 215 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@MIA | H | 0.5 | -250 | 1.4 | +0.9 | 4/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 216 | MLB | Gabriel Moreno 10 games | AZ vs ARI@WSN | H | 0.5 | -260 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 217 | MLB | George Springer 10 games | TOR vs TOR@BOS | H | 0.5 | -200 | 1.4 | +0.9 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 218 | MLB | Isaac Paredes 10 games | HOU vs HOU@CHW | R | 0.5 | +140 | 0.6 | +0.1 | 3/5 | +0.5 | 52 | F | 1.0 | WIN | LOSS | |
| 219 | MLB | Jackson Merrill 10 games | SD vs SDP@MIA | H | 0.5 | -200 | 1.6 | +1.1 | 3/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 220 | MLB | Jake Burger 10 games | TEX vs SEA@TEX | TB | 1.5 | +170 | 1.8 | +0.3 | 3/5 | +0.6 | 52 | F | 5.0 | WIN | LOSS | |
| 221 | MLB | Jake Cronenworth 10 games | SD vs SDP@MIA | H | 0.5 | -174 | 1.2 | +0.7 | 4/5 | +0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 222 | MLB | Jake Mangum 10 games | PIT vs CHC@PIT | H | 0.5 | -320 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 2.0 | WIN | LOSS | |
| 223 | MLB | Jordan Walker 10 games | STL vs CIN@STL | H | 0.5 | -260 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 224 | MLB | Josh Bell 10 games | MIN vs Athletics@ | H | 0.5 | -190 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 225 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | H | 1.5 | +260 | 1.6 | +0.1 | 3/5 | +0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 226 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | TB | 1.5 | +140 | 1.8 | +0.3 | 3/5 | +0.8 | 52 | F | 0.0 | LOSS | WIN | |
| 227 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | H | 0.5 | -350 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 228 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | H | 0.5 | -235 | 1.2 | +0.7 | 4/5 | -0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 229 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | H | 0.5 | -155 | 1 | +0.5 | 4/5 | +-0 | 52 | F | 2.0 | WIN | LOSS | |
| 230 | MLB | Petey Halpin 10 games | CLE vs CLE@TBR | H | 0.5 | -120 | 1 | +0.5 | 3/5 | -0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 231 | MLB | Riley Greene 10 games | DET vs KCR@DET | H | 0.5 | -225 | 1 | +0.5 | 4/5 | +-0 | 52 | F | 0.0 | LOSS | WIN | |
| 232 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | H | 1.5 | +260 | 1.6 | +0.1 | 3/5 | +0.5 | 52 | F | — | PENDING | PENDING | |
| 233 | MLB | Tommy Edman 10 games | LAD vs LAD@NYM | H | 0.5 | -250 | 1.2 | +0.7 | 4/5 | +0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 234 | MLB | Trevor Rogers 9 games | BAL vs ATL@BAL | K | 5.5 | +150 | 5.8 | +0.3 | 3/5 | +0.7 | 52 | F | 6.0 | WIN | LOSS | |
| 235 | MLB | Ty France 10 games | SD vs SDP@MIA | H | 0.5 | -190 | 1.4 | +0.9 | 4/5 | -0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 236 | MLB | Wilyer Abreu 10 games | BOS vs TOR@BOS | RBI | 0.5 | +164 | 1.4 | +0.9 | 3/5 | -0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 237 | MLB | Yordan Alvarez 10 games | HOU vs HOU@CHW | H | 1.5 | +180 | 1.8 | +0.3 | 3/5 | +0.5 | 52 | F | 1.0 | LOSS | WIN | |
| 238 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | H | 0.5 | -210 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 239 | MLB | Andrés Chaparro 10 games | WSH vs ARI@WSN | TB | 1.5 | +170 | 2.8 | +1.3 | 2/5 | -0.6 | 51 | F | 2.0 | WIN | LOSS | |
| 240 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | RBI | 0.5 | +170 | 1 | +0.5 | 2/5 | +1.1 | 51 | F | 0.0 | LOSS | WIN | |
| 241 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | TB | 1.5 | +175 | 2.2 | +0.7 | 2/5 | +1.4 | 51 | F | 0.0 | LOSS | WIN | |
| 242 | MLB | Cal Raleigh 10 games | SEA vs SEA@TEX | RBI | 0.5 | +180 | 1.2 | +0.7 | 2/5 | +1.4 | 51 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | H | 0.5 | -137 | 1 | +0.5 | 3/5 | +0.5 | 51 | F | 1.0 | WIN | LOSS | |
| 244 | MLB | Gabriel Moreno 10 games | AZ vs ARI@WSN | TB | 1.5 | +115 | 2 | +0.5 | 2/5 | +0.9 | 51 | F | 2.0 | WIN | LOSS | |
| 245 | MLB | Jacob Young 10 games | WSH vs ARI@WSN | TB | 1.5 | +220 | 2 | +0.5 | 2/5 | +0.8 | 51 | F | 0.0 | LOSS | WIN | |
| 246 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | RBI | 0.5 | +235 | 1 | +0.5 | 2/5 | +1.1 | 51 | F | 0.0 | LOSS | WIN | |
| 247 | MLB | Joey Ortiz 10 games | MIL vs COL@MIL | TB | 1.5 | +185 | 2.2 | +0.7 | 2/5 | +1.5 | 51 | F | 0.0 | LOSS | WIN | |
| 248 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | TB | 1.5 | +107 | 2.2 | +0.7 | 2/5 | +0.5 | 51 | F | 1.0 | LOSS | WIN | |
| 249 | MLB | Trea Turner 10 games | PHI vs NYY@PHI | RBI | 0.5 | +231 | 1.2 | +0.7 | 2/5 | +0.9 | 51 | F | 0.0 | LOSS | WIN | |
| 250 | MLB | Victor Robles 10 games | SEA vs SEA@TEX | H | 0.5 | -150 | 1.2 | +0.7 | 3/5 | +1 | 51 | F | — | PENDING | PENDING |
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.