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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 251 | MLB | Shohei Ohtani 10 games | LAD vs LAD@ARI | R | 0.5 | -165 | 0.8 | +0.3 | 3/5 | +0.5 | 43 | F | — | PENDING | PENDING | |
| 252 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@ATL | H | 0.5 | -225 | 1.4 | +0.9 | 3/5 | -0.9 | 43 | F | 3.0 | WIN | LOSS | |
| 253 | MLB | Alex Call 10 games | LAD vs LAD@ARI | RBI | 0.5 | +205 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | — | PENDING | PENDING | |
| 254 | MLB | Alex Freeland 10 games | LAD vs LAD@ARI | R | 0.5 | +150 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | Alex Freeland 10 games | LAD vs LAD@ARI | RBI | 0.5 | +230 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 256 | MLB | Anthony Volpe 10 games | NYY vs CLE@NYY | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | — | PENDING | PENDING | |
| 257 | MLB | Ben Rice 10 games | NYY vs CLE@NYY | H | 1.5 | +240 | 1.8 | +0.3 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 258 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 259 | MLB | Bryce Harper 10 games | PHI vs SDP@PHI | RBI | 0.5 | +157 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 260 | MLB | Charles McAdoo 2 games | TOR vs TOR@ATL | HR | 0.5 | +850 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 261 | MLB | Charles McAdoo 2 games | TOR vs TOR@ATL | R | 0.5 | +230 | 0.5 | +0 | 1/2 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 262 | MLB | Colton Cowser 10 games | BAL vs BAL@BOS | H | 0.5 | -137 | 0.8 | +0.3 | 3/5 | +-0 | 42 | F | 1.0 | WIN | LOSS | |
| 263 | MLB | Colton Cowser 10 games | BAL vs BAL@BOS | R | 0.5 | +148 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 264 | MLB | Colton Cowser 10 games | BAL vs BAL@BOS | TB | 1.5 | +175 | 1.6 | +0.1 | 2/5 | +0.3 | 42 | F | 1.0 | LOSS | WIN | |
| 265 | MLB | Drew Gilbert 10 games | SF vs SFG@MIL | RBI | 0.5 | +285 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 266 | MLB | Ernie Clement 10 games | TOR vs TOR@ATL | R | 0.5 | +166 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 267 | MLB | Gunnar Henderson 10 games | BAL vs BAL@BOS | RBI | 0.5 | +147 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Isaac Collins 10 games | KC vs KCR@MIN | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 269 | MLB | Jackson Holliday 10 games | BAL vs BAL@BOS | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 270 | MLB | Jackson Merrill 10 games | SD vs SDP@PHI | RBI | 0.5 | +210 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 2.0 | WIN | LOSS | |
| 271 | MLB | Jackson Merrill 10 games | SD vs SDP@PHI | TB | 1.5 | +150 | 1.6 | +0.1 | 2/5 | +0 | 42 | F | 4.0 | WIN | LOSS | |
| 272 | MLB | Jake Bauers 10 games | MIL vs SFG@MIL | TB | 1.5 | +141 | 1.8 | +0.3 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 273 | MLB | Jake Mangum 10 games | PIT vs PIT@HOU | RBI | 0.5 | +239 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 274 | MLB | Jung Hoo Lee 10 games | SF vs SFG@MIL | RBI | 0.5 | +216 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 275 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | TB | 1.5 | +130 | 2.2 | +0.7 | 2/5 | -1.7 | 42 | F | 8.0 | WIN | LOSS | |
| 276 | MLB | Kyle Tucker 10 games | LAD vs LAD@ARI | RBI | 0.5 | +155 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 277 | MLB | Kyle Tucker 10 games | LAD vs LAD@ARI | TB | 1.5 | +130 | 1.8 | +0.3 | 2/5 | +0.2 | 42 | F | 1.0 | LOSS | WIN | |
| 278 | MLB | Luis Arraez 10 games | SF vs SFG@MIL | R | 0.5 | +144 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 279 | MLB | Matt Chapman 10 games | SF vs SFG@MIL | H | 0.5 | -150 | 0.8 | +0.3 | 3/5 | -0.4 | 42 | F | 3.0 | WIN | LOSS | |
| 280 | MLB | Max Muncy 10 games | LAD vs LAD@ARI | R | 0.5 | +105 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 281 | MLB | Max Muncy 10 games | LAD vs LAD@ARI | TB | 1.5 | +125 | 1.6 | +0.1 | 2/5 | -0.5 | 42 | F | 1.0 | LOSS | WIN | |
| 282 | MLB | Michael Harris II 10 games | ATL vs TOR@ATL | RBI | 0.5 | +177 | 0.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 283 | MLB | Ozzie Albies 10 games | ATL vs TOR@ATL | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 284 | MLB | Pete Crow-Armstrong 10 games | CHC vs Athletics@ | H | 1.5 | +190 | 1.8 | +0.3 | 2/5 | +0.1 | 42 | F | 2.0 | WIN | LOSS | |
| 285 | MLB | Pete Crow-Armstrong 10 games | CHC vs Athletics@ | RBI | 0.5 | +156 | 0.8 | +0.3 | 2/5 | +0.1 | 42 | F | 2.0 | WIN | LOSS | |
| 286 | MLB | Rhys Hoskins 10 games | CLE vs CLE@NYY | RBI | 0.5 | +190 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 287 | MLB | Ryan Ward 4 games | LAD vs LAD@ARI | RBI | 0.5 | +175 | 0.5 | +0 | 2/4 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 288 | MLB | Ryne Nelson 10 games | AZ vs LAD@ARI | K | 3.5 | -168 | 4.8 | +1.3 | 2/5 | -1.5 | 42 | F | 3.0 | LOSS | WIN | |
| 289 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | RBI | 0.5 | +150 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 290 | MLB | Spencer Horwitz 10 games | PIT vs PIT@HOU | R | 0.5 | +104 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 291 | MLB | Steven Kwan 10 games | CLE vs CLE@NYY | R | 0.5 | +223 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 292 | MLB | Ty France 10 games | SD vs SDP@PHI | R | 0.5 | +192 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 293 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | RBI | 0.5 | +173 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 294 | MLB | William Contreras 10 games | MIL vs SFG@MIL | RBI | 0.5 | +136 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 295 | MLB | Willson Contreras 10 games | BOS vs BAL@BOS | TB | 1.5 | +105 | 1.6 | +0.1 | 2/5 | -0.4 | 42 | F | 5.0 | WIN | LOSS | |
| 296 | MLB | Yohendrick Pinango 5 games | TOR vs TOR@ATL | RBI | 0.5 | +382 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | — | PENDING | PENDING | |
| 297 | MLB | Brice Turang 10 games | MIL vs SFG@MIL | R | 0.5 | -105 | 0.6 | +0.1 | 2/5 | +0.2 | 41 | F | 0.0 | LOSS | WIN | |
| 298 | MLB | Bryce Harper 10 games | PHI vs SDP@PHI | R | 0.5 | -104 | 0.6 | +0.1 | 2/5 | +-0 | 41 | F | 2.0 | WIN | LOSS | |
| 299 | MLB | Isiah Kiner-Falefa 10 games | BOS vs BAL@BOS | TB | 1.5 | +140 | 1.4 | -0.1 | 3/5 | -0.7 | 41 | F | 0.0 | LOSS | WIN | |
| 300 | MLB | Michael Harris II 10 games | ATL vs TOR@ATL | TB | 1.5 | +120 | 1.4 | -0.1 | 3/5 | -0.8 | 41 | F | 2.0 | WIN | LOSS |
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.