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 | Jake Burger 10 games | TEX vs SEA@TEX | H | 0.5 | -155 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | — | PENDING | PENDING | |
| 202 | MLB | Jake Mangum 10 games | PIT vs CHC@PIT | H | 0.5 | -260 | 1.4 | +0.9 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 203 | MLB | Jared Young 10 games | NYM vs LAD@NYM | H | 0.5 | -120 | 1 | +0.5 | 3/5 | +0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 204 | MLB | Jose Altuve 10 games | HOU vs HOU@CHW | H | 0.5 | -165 | 1.4 | +0.9 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 205 | MLB | Jose Siri 10 games | LAA vs LAA@SFG | H | 0.5 | -120 | 1 | +0.5 | 3/5 | +0.4 | 52 | F | 2.0 | WIN | LOSS | |
| 206 | MLB | Josh Naylor 10 games | SEA vs SEA@TEX | TB | 1.5 | +140 | 1.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 207 | MLB | Junior Caminero 10 games | TB vs CLE@TBR | TB | 1.5 | +108 | 2 | +0.5 | 3/5 | -0.7 | 52 | F | 2.0 | WIN | LOSS | |
| 208 | MLB | Ketel Marte 10 games | AZ vs ARI@WSN | H | 0.5 | -320 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 209 | MLB | Kyle Karros 10 games | COL vs COL@MIL | H | 0.5 | -180 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 2.0 | WIN | LOSS | |
| 210 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TBR | R | 0.5 | +175 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 211 | MLB | Michael Harris II 10 games | ATL vs ATL@BAL | H | 0.5 | -300 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 1.0 | WIN | LOSS | |
| 212 | MLB | Nathan Lukes 10 games | TOR vs TOR@BOS | H | 0.5 | -213 | 1.2 | +0.7 | 4/5 | -0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 213 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@STL | H | 0.5 | -170 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | — | PENDING | PENDING | |
| 214 | MLB | Nolan Arenado 10 games | AZ vs ARI@WSN | H | 0.5 | -190 | 1 | +0.5 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 215 | MLB | Otto Lopez 10 games | MIA vs SDP@MIA | H | 0.5 | -350 | 1 | +0.5 | 4/5 | +-0 | 52 | F | 1.0 | WIN | LOSS | |
| 216 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | H | 0.5 | -220 | 1.2 | +0.7 | 4/5 | +0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 217 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | R | 0.5 | +200 | 0.8 | +0.3 | 3/5 | +0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 218 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | RBI | 0.5 | +291 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 219 | MLB | Randy Arozarena 10 games | SEA vs SEA@TEX | H | 0.5 | -180 | 1 | +0.5 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 220 | MLB | Seiya Suzuki 10 games | CHC vs CHC@PIT | TB | 1.5 | +140 | 2 | +0.5 | 3/5 | -0.6 | 52 | F | 1.0 | LOSS | WIN | |
| 221 | MLB | Steven Kwan 10 games | CLE vs CLE@TBR | H | 1.5 | +230 | 1.6 | +0.1 | 3/5 | +0.5 | 52 | F | 1.0 | LOSS | WIN | |
| 222 | MLB | Ty France 10 games | SD vs SDP@MIA | H | 0.5 | -167 | 1.4 | +0.9 | 4/5 | -0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 223 | MLB | Tyler Stephenson 10 games | CIN vs CIN@STL | H | 0.5 | -180 | 1.4 | +0.9 | 4/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 224 | MLB | Vaughn Grissom 10 games | LAA vs LAA@SFG | H | 0.5 | -200 | 1.2 | +0.7 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 225 | MLB | Wyatt Langford 10 games | TEX vs SEA@TEX | H | 0.5 | -200 | 1.4 | +0.9 | 4/5 | -0.2 | 52 | F | 3.0 | WIN | LOSS | |
| 226 | MLB | Zach Neto 10 games | LAA vs LAA@SFG | TB | 1.5 | +120 | 1.8 | +0.3 | 3/5 | +0.9 | 52 | F | 0.0 | LOSS | WIN | |
| 227 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | TB | 1.5 | +120 | 2.2 | +0.7 | 2/5 | +1.4 | 51 | F | 0.0 | LOSS | WIN | |
| 228 | MLB | Brooks Lee 10 games | MIN vs Athletics@ | RBI | 0.5 | +165 | 1 | +0.5 | 2/5 | +0.7 | 51 | F | 0.0 | LOSS | WIN | |
| 229 | MLB | Cedric Mullins 10 games | TB vs CLE@TBR | H | 0.5 | -150 | 1 | +0.5 | 3/5 | +0.6 | 51 | F | 0.0 | LOSS | WIN | |
| 230 | MLB | Gunnar Henderson 10 games | BAL vs ATL@BAL | TB | 1.5 | +105 | 2 | +0.5 | 2/5 | +1.2 | 51 | F | 4.0 | WIN | LOSS | |
| 231 | MLB | Jo Adell 10 games | LAA vs LAA@SFG | TB | 1.5 | +130 | 2.2 | +0.7 | 2/5 | +0.9 | 51 | F | 1.0 | LOSS | WIN | |
| 232 | MLB | Luis Robert Jr. 4 games | NYM vs LAD@NYM | TB | 1.5 | +240 | 2 | +0.5 | 2/4 | +0.7 | 51 | F | 0.0 | LOSS | WIN | |
| 233 | MLB | Ozzie Albies 10 games | ATL vs ATL@BAL | TB | 1.5 | +128 | 2.4 | +0.9 | 2/5 | +0.7 | 51 | F | 4.0 | WIN | LOSS | |
| 234 | MLB | Yordan Alvarez 10 games | HOU vs HOU@CHW | TB | 2.5 | +160 | 3.8 | +1.3 | 2/5 | -0.6 | 51 | F | 0.0 | LOSS | WIN | |
| 235 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | H | 0.5 | -125 | 1 | +0.5 | 3/5 | +0.2 | 50 | F | 2.0 | WIN | LOSS | |
| 236 | MLB | Alec Bohm 10 games | PHI vs NYY@PHI | H | 0.5 | -235 | 1.4 | +0.9 | 3/5 | +0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 237 | MLB | Alejandro Kirk 10 games | TOR vs TOR@BOS | RBI | 0.5 | +210 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 238 | MLB | Andruw Monasterio 10 games | BOS vs TOR@BOS | RBI | 0.5 | +241 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 239 | MLB | Andy Pages 10 games | LAD vs LAD@NYM | R | 0.5 | +115 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 240 | MLB | Anthony Seigler 10 games | BOS vs TOR@BOS | H | 0.5 | -160 | 1.2 | +0.7 | 3/5 | +0.9 | 49 | F | 0.0 | LOSS | WIN | |
| 241 | MLB | Bo Bichette 10 games | NYM vs LAD@NYM | R | 0.5 | +180 | 0.6 | +0.1 | 3/5 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 242 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | H | 0.5 | -185 | 1.4 | +0.9 | 3/5 | +0.8 | 49 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | Brett Baty 10 games | NYM vs LAD@NYM | R | 0.5 | +210 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 244 | MLB | Brewer Hicklen 5 games | ATL vs ATL@BAL | R | 0.5 | +175 | 0.8 | +0.3 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 245 | MLB | Brewer Hicklen 5 games | ATL vs ATL@BAL | RBI | 0.5 | +260 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 246 | MLB | Brice Turang 10 games | MIL vs COL@MIL | R | 0.5 | +100 | 0.6 | +0.1 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 247 | MLB | Cameron Cauley 10 games | TEX vs SEA@TEX | H | 0.5 | +105 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 248 | MLB | Cameron Cauley 10 games | TEX vs SEA@TEX | R | 0.5 | +230 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 249 | MLB | Casey Schmitt 10 games | SF vs LAA@SFG | R | 0.5 | +135 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 250 | MLB | Chandler Simpson 10 games | TB vs CLE@TBR | R | 0.5 | +180 | 0.6 | +0.1 | 3/5 | +0.1 | 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.