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 | Josh Lowe 10 games | LAA vs LAA@TEX | H | 0.5 | -125 | 0.6 | +0.1 | 3/5 | -0.3 | 44 | F | 1.0 | WIN | LOSS | |
| 202 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@TEX | H | 0.5 | -125 | 0.6 | +0.1 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 203 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@PIT | H | 0.5 | -121 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | 1.0 | WIN | LOSS | |
| 204 | MLB | Nick Allen 10 games | HOU vs HOU@WSN | H | 0.5 | -125 | 0.6 | +0.1 | 3/5 | +0.2 | 44 | F | 1.0 | WIN | LOSS | |
| 205 | MLB | Owen Caissie 10 games | MIA vs SEA@MIA | H | 0.5 | -135 | 0.6 | +0.1 | 3/5 | -0.1 | 44 | F | 0.0 | LOSS | WIN | |
| 206 | MLB | Richie Palacios 10 games | TB vs NYY@TBR | H | 1.5 | +475 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | — | PENDING | PENDING | |
| 207 | MLB | Victor Bericoto 10 games | SF vs TOR@SFG | H | 1.5 | +500 | 1.4 | -0.1 | 3/5 | +0.3 | 44 | F | — | PENDING | PENDING | |
| 208 | MLB | Cal Raleigh 10 games | SEA vs SEA@MIA | H | 0.5 | -160 | 0.8 | +0.3 | 3/5 | +0.7 | 43 | F | 1.0 | WIN | LOSS | |
| 209 | MLB | Dillon Dingler 10 games | DET vs ATHLETICS@ | H | 0.5 | -250 | 1 | +0.5 | 3/5 | -0.6 | 43 | F | 1.0 | WIN | LOSS | |
| 210 | MLB | Garrett Mitchell 10 games | MIL vs MIL@STL | H | 0.5 | -172 | 1 | +0.5 | 3/5 | -0.5 | 43 | F | 2.0 | WIN | LOSS | |
| 211 | MLB | Jared Young 10 games | NYM vs KCR@NYM | H | 0.5 | -155 | 0.8 | +0.3 | 3/5 | +0.7 | 43 | F | 0.0 | LOSS | WIN | |
| 212 | MLB | JJ Wetherholt 10 games | STL vs MIL@STL | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | -0.5 | 43 | F | — | PENDING | PENDING | |
| 213 | MLB | Michael Massey 10 games | KC vs KCR@NYM | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | +0.6 | 43 | F | 1.0 | WIN | LOSS | |
| 214 | MLB | A.J. Ewing 10 games | NYM vs KCR@NYM | H | 0.5 | -238 | 1.2 | +0.7 | 2/5 | +0.9 | 42 | F | 2.0 | WIN | LOSS | |
| 215 | MLB | Alejandro Osuna 10 games | TEX vs LAA@TEX | RBI | 0.5 | +220 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 216 | MLB | Ben Malgeri 8 games | DET vs ATHLETICS@ | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 217 | MLB | Blaze Alexander 10 games | BAL vs CHC@BAL | RBI | 0.5 | +206 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 218 | MLB | Brice Matthews 10 games | HOU vs HOU@WSN | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.7 | 42 | F | 1.0 | WIN | LOSS | |
| 219 | MLB | Bryan Reynolds 10 games | PIT vs ATL@PIT | RBI | 0.5 | +180 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 220 | MLB | Bryce Eldridge 10 games | SF vs TOR@SFG | RBI | 0.5 | +260 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 221 | MLB | Chase DeLauter 10 games | CLE vs CLE@MIN | RBI | 0.5 | +210 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 1.0 | WIN | LOSS | |
| 222 | MLB | Christian Yelich 10 games | MIL vs MIL@STL | RBI | 0.5 | +218 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 223 | MLB | Dominic Canzone 10 games | SEA vs SEA@MIA | RBI | 0.5 | +161 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 224 | MLB | Eugenio Suarez 10 games | CIN vs PHI@CIN | RBI | 0.5 | +140 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 225 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@SDP | H | 0.5 | -169 | 1 | +0.5 | 2/5 | +0.6 | 42 | F | — | PENDING | PENDING | |
| 226 | MLB | Hunter Feduccia 10 games | TB vs NYY@TBR | H | 0.5 | +110 | 0.8 | +0.3 | 2/5 | -0.2 | 42 | F | — | PENDING | PENDING | |
| 227 | MLB | Hunter Feduccia 10 games | TB vs NYY@TBR | RBI | 0.5 | +340 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | — | PENDING | PENDING | |
| 228 | MLB | Ivan Herrera 10 games | STL vs MIL@STL | RBI | 0.5 | +220 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 229 | MLB | Jake Bauers 10 games | MIL vs MIL@STL | RBI | 0.5 | +165 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 230 | MLB | Jakob Marsee 10 games | MIA vs SEA@MIA | RBI | 0.5 | +272 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 231 | MLB | James Jarvis 4 games | vs ATL@PIT | H | 0.5 | -150 | 0.8 | +0.3 | 3/4 | -0.1 | 42 | F | — | PENDING | PENDING | |
| 232 | MLB | Jo Adell 10 games | LAA vs LAA@TEX | H | 0.5 | -163 | 1 | +0.5 | 2/5 | +0.8 | 42 | F | 2.0 | WIN | LOSS | |
| 233 | MLB | Jonatan Clase 2 games | TOR vs TOR@SFG | HR | 0.5 | +1100 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 234 | MLB | Jonatan Clase 2 games | TOR vs TOR@SFG | RBI | 1.5 | +1000 | 1.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 235 | MLB | Jose Caballero 10 games | NYY vs NYY@TBR | H | 0.5 | -140 | 0.8 | +0.3 | 3/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 236 | MLB | Josh Bell 10 games | MIN vs CLE@MIN | HR | 0.5 | +425 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 237 | MLB | Josh Jung 10 games | TEX vs LAA@TEX | RBI | 0.5 | +200 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | — | PENDING | PENDING | |
| 238 | MLB | Justin Crawford 10 games | PHI vs PHI@CIN | H | 0.5 | -150 | 0.8 | +0.3 | 3/5 | -0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 239 | MLB | Liam Hicks 10 games | MIA vs SEA@MIA | RBI | 0.5 | +250 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 240 | MLB | Matt Olson 10 games | ATL vs ATL@PIT | HR | 0.5 | +325 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 241 | MLB | Matt Vierling 10 games | DET vs ATHLETICS@ | RBI | 0.5 | +181 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 242 | MLB | Miguel Vargas 10 games | CWS vs BOS@CHW | RBI | 0.5 | +165 | 0.8 | +0.3 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | Mike Yastrzemski 10 games | ATL vs ATL@PIT | RBI | 0.5 | +248 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 244 | MLB | Nathan Church 10 games | STL vs MIL@STL | H | 0.5 | -140 | 0.8 | +0.3 | 3/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 245 | MLB | Nolan Arenado 10 games | AZ vs ARI@SDP | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | -0.5 | 42 | F | 3.0 | WIN | LOSS | |
| 246 | MLB | Nolan Arenado 10 games | AZ vs ARI@SDP | RBI | 0.5 | +281 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 247 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@BAL | RBI | 0.5 | +156 | 0.8 | +0.3 | 2/5 | -0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 248 | MLB | Rafael Devers 10 games | SF vs TOR@SFG | HR | 0.5 | +525 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 249 | MLB | Rafael Devers 10 games | SF vs TOR@SFG | RBI | 0.5 | +227 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 250 | MLB | TJ Friedl 10 games | CIN vs PHI@CIN | RBI | 0.5 | +230 | 0.6 | +0.1 | 2/5 | +0 | 42 | 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.