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 | Bryan Reynolds 10 games | PIT vs PIT@Athlet | TB | 1.5 | +125 | 2.2 | +0.7 | 2/5 | +1 | 51 | F | 1.0 | LOSS | WIN | |
| 202 | MLB | Corey Seager 10 games | TEX vs MIN@TEX | TB | 1.5 | +119 | 2.2 | +0.7 | 2/5 | +0.9 | 51 | F | — | PENDING | PENDING | |
| 203 | MLB | J.T. Realmuto 10 games | PHI vs MIA@PHI | RBI | 0.5 | +230 | 1 | +0.5 | 2/5 | +0.7 | 51 | F | 2.0 | WIN | LOSS | |
| 204 | MLB | Keibert Ruiz 10 games | WSH vs KCR@WSN | TB | 1.5 | +140 | 2 | +0.5 | 2/5 | +0.8 | 51 | F | 1.0 | LOSS | WIN | |
| 205 | MLB | Max Muncy 10 games | LAD vs TBR@LAD | RBI | 0.5 | +145 | 1.4 | +0.9 | 2/5 | +1.2 | 51 | F | 0.0 | LOSS | WIN | |
| 206 | MLB | Nick Fortes 10 games | TB vs TBR@LAD | R | 0.5 | +180 | 1 | +0.5 | 2/5 | +1.1 | 51 | F | 0.0 | LOSS | WIN | |
| 207 | MLB | Samad Taylor 8 games | SD vs SDP@STL | TB | 1.5 | +190 | 2.4 | +0.9 | 2/5 | +0.9 | 51 | F | — | PENDING | PENDING | |
| 208 | MLB | Seiya Suzuki 10 games | CHC vs COL@CHC | TB | 1.5 | +125 | 2.2 | +0.7 | 2/5 | +0.8 | 51 | F | 0.0 | LOSS | WIN | |
| 209 | MLB | Walbert Urena 2 games | LAA vs LAA@ARI | K | 3.5 | -200 | 5.5 | +2 | 1/2 | +0 | 51 | F | — | PENDING | PENDING | |
| 210 | MLB | Alejandro Osuna 10 games | TEX vs MIN@TEX | H | 0.5 | -125 | 0.8 | +0.3 | 4/5 | +0.2 | 50 | F | 0.0 | LOSS | WIN | |
| 211 | MLB | Austin Slater 10 games | TB vs TBR@LAD | H | 0.5 | -135 | 0.8 | +0.3 | 4/5 | +0.1 | 50 | F | 1.0 | WIN | LOSS | |
| 212 | MLB | Nicky Lopez 10 games | TEX vs MIN@TEX | H | 0.5 | -130 | 1 | +0.5 | 3/5 | +0 | 50 | F | 1.0 | WIN | LOSS | |
| 213 | MLB | Pete Crow-Armstrong 10 games | CHC vs COL@CHC | R | 0.5 | -135 | 1 | +0.5 | 3/5 | -0.1 | 50 | F | 1.0 | WIN | LOSS | |
| 214 | MLB | Alex Bregman 10 games | CHC vs COL@CHC | TB | 1.5 | +124 | 1.8 | +0.3 | 3/5 | +0.4 | 49 | F | 2.0 | WIN | LOSS | |
| 215 | MLB | Blaze Jordan 3 games | STL vs SDP@STL | H | 1.5 | +340 | 1.7 | +0.2 | 2/3 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 216 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | R | 0.5 | +170 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | — | PENDING | PENDING | |
| 217 | MLB | Bryce Harper 10 games | PHI vs MIA@PHI | R | 0.5 | -115 | 1 | +0.5 | 3/5 | -0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 218 | MLB | Bryson Stott 10 games | PHI vs MIA@PHI | RBI | 0.5 | +200 | 0.8 | +0.3 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 219 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | HR | 0.5 | +325 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | WIN | LOSS | |
| 220 | MLB | Carson Benge 10 games | NYM vs NYM@CIN | R | 0.5 | +120 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 221 | MLB | Cedric Mullins 10 games | TB vs TBR@LAD | R | 0.5 | +170 | 0.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 222 | MLB | Cedric Mullins 10 games | TB vs TBR@LAD | TB | 1.5 | +195 | 1.8 | +0.3 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 223 | MLB | Corey Seager 10 games | TEX vs MIN@TEX | RBI | 0.5 | +162 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | — | PENDING | PENDING | |
| 224 | MLB | Dalton Rushing 10 games | LAD vs TBR@LAD | R | 0.5 | +140 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 225 | MLB | Dansby Swanson 10 games | CHC vs COL@CHC | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 226 | MLB | Daylen Lile 10 games | WSH vs KCR@WSN | H | 0.5 | -250 | 1.4 | +0.9 | 4/5 | -0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 227 | MLB | Daylen Lile 10 games | WSH vs KCR@WSN | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 228 | MLB | Denzer Guzman 5 games | LAA vs LAA@ARI | H | 0.5 | -160 | 1 | +0.5 | 3/5 | +0.7 | 49 | F | 1.0 | WIN | LOSS | |
| 229 | MLB | Donovan Walton 10 games | LAA vs LAA@ARI | H | 0.5 | -165 | 1 | +0.5 | 3/5 | +0.8 | 49 | F | 2.0 | WIN | LOSS | |
| 230 | MLB | Ezequiel Tovar 10 games | COL vs COL@CHC | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 231 | MLB | Ezequiel Tovar 10 games | COL vs COL@CHC | RBI | 0.5 | +240 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 232 | MLB | Freddie Freeman 10 games | LAD vs TBR@LAD | R | 0.5 | +100 | 0.8 | +0.3 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 233 | MLB | Gleyber Torres 10 games | DET vs DET@HOU | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 234 | MLB | Gleyber Torres 10 games | DET vs DET@HOU | RBI | 0.5 | +249 | 0.8 | +0.3 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 235 | MLB | Ian Happ 10 games | CHC vs COL@CHC | RBI | 0.5 | +136 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 236 | MLB | Jackson Merrill 10 games | SD vs SDP@STL | R | 0.5 | +120 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 237 | MLB | Jacob Young 10 games | WSH vs KCR@WSN | R | 0.5 | +160 | 0.8 | +0.3 | 3/5 | +0.1 | 49 | F | 0.0 | LOSS | WIN | |
| 238 | MLB | Jake Mangum 10 games | PIT vs PIT@Athlet | H | 1.5 | +190 | 1.6 | +0.1 | 3/5 | -0.2 | 49 | F | 1.0 | LOSS | WIN | |
| 239 | MLB | James Wood 10 games | WSH vs KCR@WSN | HR | 0.5 | +375 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 240 | MLB | James Wood 10 games | WSH vs KCR@WSN | R | 1.5 | +380 | 1.6 | +0.1 | 3/5 | +0 | 49 | F | 2.0 | WIN | LOSS | |
| 241 | MLB | JJ Bleday 10 games | CIN vs NYM@CIN | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | -0.2 | 49 | F | 2.0 | WIN | LOSS | |
| 242 | MLB | JJ Wetherholt 10 games | STL vs SDP@STL | H | 1.5 | +260 | 1.6 | +0.1 | 3/5 | -0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | Jordan Walker 10 games | STL vs SDP@STL | H | 0.5 | -240 | 1 | +0.5 | 4/5 | -0.9 | 49 | F | 2.0 | WIN | LOSS | |
| 244 | MLB | Josh Bell 10 games | MIN vs MIN@TEX | RBI | 0.5 | +238 | 0.6 | +0.1 | 3/5 | -0.1 | 49 | F | 3.0 | WIN | LOSS | |
| 245 | MLB | Juan Soto 10 games | NYM vs NYM@CIN | R | 0.5 | +100 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 246 | MLB | Kody Clemens 10 games | MIN vs MIN@TEX | TB | 1.5 | +142 | 1.8 | +0.3 | 3/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 247 | MLB | Kyle Karros 10 games | COL vs COL@CHC | H | 0.5 | -160 | 1.4 | +0.9 | 3/5 | +1.1 | 49 | F | 0.0 | LOSS | WIN | |
| 248 | MLB | Kyle Stowers 10 games | MIA vs MIA@PHI | R | 0.5 | +160 | 0.6 | +0.1 | 3/5 | +0 | 49 | F | 0.0 | LOSS | WIN | |
| 249 | MLB | Lars Nootbaar 9 games | STL vs SDP@STL | R | 0.5 | +130 | 0.6 | +0.1 | 3/5 | +0.1 | 49 | F | 1.0 | WIN | LOSS | |
| 250 | MLB | Lawrence Butler 10 games | ATH vs PIT@Athlet | H | 0.5 | -155 | 1 | +0.5 | 3/5 | +0.6 | 49 | 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.