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 | Jake Mangum 10 games | PIT vs ARI@PIT | H | 0.5 | -263 | 1.2 | +0.7 | 4/5 | -0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 152 | MLB | Jared Young 10 games | NYM vs ATL@NYM | H | 0.5 | -117 | 1 | +0.5 | 3/5 | -0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 153 | MLB | Joey Ortiz 10 games | MIL vs MIL@SFG | H | 0.5 | -165 | 1.4 | +0.9 | 4/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 154 | MLB | Jung Hoo Lee 10 games | SF vs MIL@SFG | H | 0.5 | -220 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | — | PENDING | PENDING | |
| 155 | MLB | Kevin McGonigle 10 games | DET vs BAL@DET | H | 0.5 | -220 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 156 | MLB | Luis Arraez 10 games | SF vs MIL@SFG | RBI | 0.5 | +260 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 1.0 | WIN | LOSS | |
| 157 | MLB | Luis Arraez 10 games | SF vs MIL@SFG | TB | 1.5 | +110 | 1.6 | +0.1 | 3/5 | +1.5 | 52 | F | 1.0 | LOSS | WIN | |
| 158 | MLB | Matt Olson 10 games | ATL vs ATL@NYM | TB | 1.5 | +126 | 1.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 159 | MLB | Michael Busch 10 games | CHC vs CHC@STL | H | 0.5 | -200 | 1.4 | +0.9 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 160 | MLB | Michael Harris II 10 games | ATL vs ATL@NYM | H | 0.5 | -240 | 1.2 | +0.7 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 161 | MLB | Michael Harris II 10 games | ATL vs ATL@NYM | TB | 1.5 | +120 | 2.2 | +0.7 | 3/5 | -0.8 | 52 | F | 1.0 | LOSS | WIN | |
| 162 | MLB | Nico Hoerner 10 games | CHC vs CHC@STL | H | 0.5 | -255 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 4.0 | WIN | LOSS | |
| 163 | MLB | Ozzie Albies 10 games | ATL vs ATL@NYM | H | 0.5 | -214 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 164 | MLB | Paul Goldschmidt 10 games | NYY vs NYY@CHW | H | 0.5 | -275 | 1 | +0.5 | 4/5 | +0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 165 | MLB | Pete Alonso 10 games | BAL vs BAL@DET | H | 0.5 | -210 | 1.2 | +0.7 | 4/5 | +0.4 | 52 | F | 2.0 | WIN | LOSS | |
| 166 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@STL | H | 1.5 | +195 | 1.8 | +0.3 | 3/5 | +1.2 | 52 | F | 0.0 | LOSS | WIN | |
| 167 | MLB | Ryan O'Hearn 10 games | PIT vs ARI@PIT | TB | 1.5 | +142 | 1.8 | +0.3 | 3/5 | +1.1 | 52 | F | 0.0 | LOSS | WIN | |
| 168 | MLB | Tyler Mahle 5 games | SF vs MIL@SFG | K | 3.5 | -375 | 4 | +0.5 | 4/5 | +0.3 | 52 | F | 3.0 | LOSS | WIN | |
| 169 | MLB | Vaughn Grissom 10 games | LAA vs HOU@LAA | RBI | 0.5 | +221 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 170 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@WSN | H | 1.5 | +185 | 1.6 | +0.1 | 3/5 | +0.6 | 52 | F | 1.0 | LOSS | WIN | |
| 171 | MLB | Wyatt Langford 10 games | TEX vs SEA@TEX | H | 0.5 | -219 | 1.4 | +0.9 | 4/5 | +0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 172 | MLB | Zach McKinstry 10 games | DET vs BAL@DET | H | 0.5 | -160 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 173 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SFG | TB | 1.5 | +147 | 2.4 | +0.9 | 2/5 | +0.7 | 51 | F | 1.0 | LOSS | WIN | |
| 174 | MLB | Brandon Sproat 9 games | MIL vs MIL@SFG | K | 4.5 | +102 | 5.6 | +1.1 | 2/5 | -1.1 | 51 | F | 5.0 | WIN | LOSS | |
| 175 | MLB | Brice Turang 10 games | MIL vs MIL@SFG | TB | 1.5 | +140 | 2.2 | +0.7 | 2/5 | +1.4 | 51 | F | 0.0 | LOSS | WIN | |
| 176 | MLB | Dominic Canzone 10 games | SEA vs SEA@TEX | RBI | 0.5 | +179 | 1.2 | +0.7 | 2/5 | +1.3 | 51 | F | 0.0 | LOSS | WIN | |
| 177 | MLB | Jake Bauers 10 games | MIL vs MIL@SFG | R | 0.5 | +140 | 1 | +0.5 | 2/5 | +1 | 51 | F | 0.0 | LOSS | WIN | |
| 178 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@CHW | RBI | 0.5 | +195 | 1.2 | +0.7 | 2/5 | +0.7 | 51 | F | 2.0 | WIN | LOSS | |
| 179 | MLB | Kyle Stowers 10 games | MIA vs PHI@MIA | TB | 1.5 | +170 | 2.2 | +0.7 | 2/5 | +1.5 | 51 | F | 2.0 | WIN | LOSS | |
| 180 | MLB | Luis Lara 10 games | MIL vs MIL@SFG | RBI | 0.5 | +210 | 1 | +0.5 | 2/5 | +1.2 | 51 | F | 0.0 | LOSS | WIN | |
| 181 | MLB | Keider Montero 10 games | DET vs BAL@DET | K | 4.5 | +105 | 3.8 | -0.7 | 3/5 | +2.6 | 50 | F | 1.0 | LOSS | WIN | |
| 182 | MLB | Tyler Locklear 6 games | AZ vs ARI@PIT | H | 0.5 | -135 | 1 | +0.5 | 3/5 | +0.3 | 50 | F | 0.0 | LOSS | WIN | |
| 183 | MLB | Alec Burleson 10 games | STL vs CHC@STL | H | 1.5 | +191 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 184 | MLB | Alec Burleson 10 games | STL vs CHC@STL | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 185 | MLB | Alejandro Kirk 10 games | TOR vs TOR@WSN | RBI | 0.5 | +160 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 186 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SFG | R | 0.5 | +140 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 187 | MLB | Anthony Seigler 10 games | BOS vs BOS@Athlet | TB | 1.5 | +135 | 2 | +0.5 | 1/5 | +1.6 | 49 | F | 0.0 | LOSS | WIN | |
| 188 | MLB | Austin Riley 10 games | ATL vs ATL@NYM | RBI | 0.5 | +180 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 189 | MLB | Casey Schmitt 10 games | SF vs MIL@SFG | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 190 | MLB | Colson Montgomery 10 games | CWS vs NYY@CHW | RBI | 0.5 | +180 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 2.0 | WIN | LOSS | |
| 191 | MLB | Cooper Pratt 10 games | MIL vs MIL@SFG | H | 1.5 | +280 | 1.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 192 | MLB | Cooper Pratt 10 games | MIL vs MIL@SFG | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 193 | MLB | Dansby Swanson 10 games | CHC vs CHC@STL | TB | 1.5 | +140 | 1.6 | +0.1 | 3/5 | +0.4 | 49 | F | 1.0 | LOSS | WIN | |
| 194 | MLB | Dominic Canzone 10 games | SEA vs SEA@TEX | H | 0.5 | -200 | 1 | +0.5 | 3/5 | +0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 195 | MLB | Dylan Crews 10 games | WSH vs TOR@WSN | H | 0.5 | -190 | 1.4 | +0.9 | 3/5 | +0.8 | 49 | F | 1.0 | WIN | LOSS | |
| 196 | MLB | Dylan Crews 10 games | WSH vs TOR@WSN | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 197 | MLB | Evan Carter 10 games | TEX vs SEA@TEX | RBI | 0.5 | +299 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 198 | MLB | Gabriel Moreno 10 games | AZ vs ARI@PIT | H | 1.5 | +220 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 199 | MLB | Garrett Mitchell 10 games | MIL vs MIL@SFG | R | 0.5 | +140 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 200 | MLB | Gunnar Henderson 10 games | BAL vs BAL@DET | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.5 | 49 | 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.