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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 151 | MLB | Shohei Ohtani 10 games | LAD vs LAA@LAD | R | 0.5 | -140 | 1.2 | +0.7 | 4/5 | +0.1 | 54 | F | 1.0 | WIN | LOSS | |
| 152 | MLB | Connor Prielipp 8 games | MIN vs KCR@MIN | K | 4.5 | -135 | 5.4 | +0.9 | 4/5 | -0.9 | 53 | F | 7.0 | WIN | LOSS | |
| 153 | MLB | Alec Bohm 10 games | PHI vs CHW@PHI | RBI | 0.5 | +153 | 0.8 | +0.3 | 3/5 | +0.7 | 52 | F | 2.0 | WIN | LOSS | |
| 154 | MLB | Austin Hedges 10 games | CLE vs CLE@TEX | H | 0.5 | +112 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | — | PENDING | PENDING | |
| 155 | MLB | Blake Dunn 10 games | CIN vs CIN@STL | H | 1.5 | +220 | 1.6 | +0.1 | 3/5 | +1 | 52 | F | 1.0 | LOSS | WIN | |
| 156 | MLB | Blake Dunn 10 games | CIN vs CIN@STL | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 157 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@MIN | H | 0.5 | -375 | 1 | +0.5 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 158 | MLB | Brandon Marsh 10 games | PHI vs CHW@PHI | RBI | 0.5 | +155 | 0.8 | +0.3 | 3/5 | +0.7 | 52 | F | 2.0 | WIN | LOSS | |
| 159 | MLB | Brandon Valenzuela 10 games | TOR vs BAL@TOR | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0.6 | 52 | F | 1.0 | WIN | LOSS | |
| 160 | MLB | Brandon Valenzuela 10 games | TOR vs BAL@TOR | RBI | 0.5 | +250 | 0.8 | +0.3 | 3/5 | +0.9 | 52 | F | 2.0 | WIN | LOSS | |
| 161 | MLB | Brice Turang 10 games | MIL vs MIL@COL | H | 1.5 | +130 | 1.6 | +0.1 | 3/5 | +0.7 | 52 | F | 1.0 | LOSS | WIN | |
| 162 | MLB | Bryan Torres 9 games | STL vs CIN@STL | R | 0.5 | +138 | 0.6 | +0.1 | 3/5 | +0.7 | 52 | F | 1.0 | WIN | LOSS | |
| 163 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@NYY | H | 0.5 | -200 | 1.4 | +0.9 | 4/5 | +0 | 52 | F | 2.0 | WIN | LOSS | |
| 164 | MLB | Christian Yelich 10 games | MIL vs MIL@COL | TB | 1.5 | -118 | 1.8 | +0.3 | 4/5 | +0.3 | 52 | F | — | PENDING | PENDING | |
| 165 | MLB | Coby Mayo 10 games | BAL vs BAL@TOR | H | 0.5 | -120 | 0.8 | +0.3 | 4/5 | -0.2 | 52 | F | — | PENDING | PENDING | |
| 166 | MLB | Colt Emerson 10 games | SEA vs SEA@DET | TB | 1.5 | +185 | 2.2 | +0.7 | 3/5 | -0.7 | 52 | F | 2.0 | WIN | LOSS | |
| 167 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | H | 0.5 | -190 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 168 | MLB | Daylen Lile 10 games | WSH vs WSN@ARI | H | 0.5 | -220 | 1.4 | +0.9 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 169 | MLB | Daylen Lile 10 games | WSH vs WSN@ARI | R | 0.5 | +155 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 170 | MLB | Fernando Tatis Jr. 10 games | SD vs NYM@SDP | H | 0.5 | -210 | 1.4 | +0.9 | 4/5 | -0.5 | 52 | F | 1.0 | WIN | LOSS | |
| 171 | MLB | Freddie Freeman 10 games | LAD vs LAA@LAD | RBI | 0.5 | +170 | 1 | +0.5 | 3/5 | -0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 172 | MLB | Geraldo Perdomo 10 games | AZ vs WSN@ARI | H | 0.5 | -165 | 1.2 | +0.7 | 4/5 | +0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 173 | MLB | Gleyber Torres 10 games | DET vs SEA@DET | H | 1.5 | +260 | 1.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 174 | MLB | Gunnar Henderson 10 games | BAL vs BAL@TOR | H | 0.5 | -200 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 175 | MLB | Gunnar Henderson 10 games | BAL vs BAL@TOR | R | 0.5 | +125 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 176 | MLB | Isaac Paredes 10 games | HOU vs Athletics@ | H | 0.5 | -180 | 1.2 | +0.7 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 177 | MLB | Jacob Gonzalez 6 games | CWS vs CHW@PHI | H | 0.5 | -160 | 1 | +0.5 | 4/5 | +0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 178 | MLB | Jake McCarthy 10 games | COL vs MIL@COL | H | 0.5 | -238 | 1.4 | +0.9 | 4/5 | -0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 179 | MLB | Jhonny Pereda 10 games | SEA vs SEA@DET | H | 1.5 | +450 | 1.6 | +0.1 | 3/5 | +0.6 | 52 | F | 1.0 | LOSS | WIN | |
| 180 | MLB | Jordan Walker 10 games | STL vs CIN@STL | H | 1.5 | +200 | 1.8 | +0.3 | 3/5 | +1.4 | 52 | F | 2.0 | WIN | LOSS | |
| 181 | MLB | Josh Jung 10 games | TEX vs CLE@TEX | H | 0.5 | -200 | 1 | +0.5 | 4/5 | -0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 182 | MLB | Josh Naylor 10 games | SEA vs SEA@DET | H | 0.5 | -220 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 183 | MLB | Junior Caminero 10 games | TB vs TBR@MIA | H | 0.5 | -300 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 184 | MLB | Junior Caminero 10 games | TB vs TBR@MIA | R | 0.5 | -115 | 1.4 | +0.9 | 3/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 185 | MLB | Kerry Carpenter 10 games | DET vs SEA@DET | H | 0.5 | -170 | 1.2 | +0.7 | 4/5 | -0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 186 | MLB | Kyle Freeland 7 games | COL vs MIL@COL | K | 3.5 | -116 | 3.8 | +0.3 | 4/5 | -0.3 | 52 | F | 2.0 | LOSS | WIN | |
| 187 | MLB | Kyle Karros 10 games | COL vs MIL@COL | H | 0.5 | -235 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 188 | MLB | Matt McLain 10 games | CIN vs CIN@STL | R | 0.5 | +165 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 189 | MLB | Matt Olson 10 games | ATL vs PIT@ATL | TB | 1.5 | +120 | 2.4 | +0.9 | 3/5 | -1.1 | 52 | F | 0.0 | LOSS | WIN | |
| 190 | MLB | Michael Busch 10 games | CHC vs SFG@CHC | H | 0.5 | -190 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 191 | MLB | Michael Harris II 10 games | ATL vs PIT@ATL | H | 0.5 | -260 | 1.2 | +0.7 | 4/5 | -0.5 | 52 | F | 1.0 | WIN | LOSS | |
| 192 | MLB | Michael Harris II 10 games | ATL vs PIT@ATL | TB | 1.5 | +112 | 1.6 | +0.1 | 4/5 | -1.1 | 52 | F | 2.0 | WIN | LOSS | |
| 193 | MLB | Miguel Vargas 10 games | CWS vs CHW@PHI | RBI | 0.5 | +170 | 1.4 | +0.9 | 3/5 | -0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 194 | MLB | Nathan Lukes 10 games | TOR vs BAL@TOR | H | 0.5 | -213 | 1.4 | +0.9 | 4/5 | -0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 195 | MLB | Nathan Lukes 10 games | TOR vs BAL@TOR | TB | 1.5 | +140 | 2 | +0.5 | 3/5 | -0.8 | 52 | F | 1.0 | LOSS | WIN | |
| 196 | MLB | Nolan Schanuel 10 games | LAA vs LAA@LAD | H | 0.5 | -160 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 197 | MLB | Otto Lopez 10 games | MIA vs TBR@MIA | TB | 1.5 | +130 | 2.4 | +0.9 | 3/5 | -0.7 | 52 | F | 5.0 | WIN | LOSS | |
| 198 | MLB | Paul Goldschmidt 10 games | NYY vs BOS@NYY | R | 0.5 | -115 | 0.8 | +0.3 | 4/5 | +-0 | 52 | F | 0.0 | LOSS | WIN | |
| 199 | MLB | Pete Crow-Armstrong 10 games | CHC vs SFG@CHC | HR | 0.5 | +525 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 200 | MLB | Rafael Devers 10 games | SF vs SFG@CHC | TB | 1.5 | +125 | 1.8 | +0.3 | 3/5 | +1 | 52 | 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.