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 | Kaelen Culpepper 2 games | MIN vs BAL@MIN | TB | 1.5 | +175 | 2 | +0.5 | 1/2 | +0 | 48 | F | 0.0 | LOSS | WIN | |
| 202 | MLB | Lawrence Butler 10 games | ATH vs TBR@Athlet | R | 0.5 | -110 | 0.6 | +0.1 | 3/5 | -0.4 | 48 | F | 0.0 | LOSS | WIN | |
| 203 | MLB | Liam Hicks 10 games | TB vs TBR@Athlet | RBI | 0.5 | +140 | 1.2 | +0.7 | 2/5 | -0.1 | 48 | F | 0.0 | LOSS | WIN | |
| 204 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | TB | 1.5 | +145 | 1.8 | +0.3 | 2/5 | +1.8 | 48 | F | 0.0 | LOSS | WIN | |
| 205 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | TB | 1.5 | +170 | 2.4 | +0.9 | 2/5 | +0.2 | 48 | F | 1.0 | LOSS | WIN | |
| 206 | MLB | Salvador Perez 10 games | KC vs KCR@LAD | H | 0.5 | -140 | 0.8 | +0.3 | 4/5 | +0 | 48 | F | 0.0 | LOSS | WIN | |
| 207 | MLB | Starling Marte 10 games | KC vs KCR@LAD | H | 0.5 | -106 | 0.6 | +0.1 | 3/5 | +0.3 | 48 | F | 0.0 | LOSS | WIN | |
| 208 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | TB | 1.5 | +140 | 2 | +0.5 | 2/5 | -0.2 | 48 | F | 0.0 | LOSS | WIN | |
| 209 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@LAD | H | 0.5 | -200 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 210 | MLB | Brett Bateman 3 games | TOR vs BOS@TOR | H | 0.5 | -160 | 1 | +0.5 | 2/3 | +0 | 46 | F | 1.0 | WIN | LOSS | |
| 211 | MLB | Bryce Harper 10 games | PHI vs PHI@STL | H | 0.5 | -249 | 1 | +0.5 | 3/5 | +0 | 46 | F | 0.0 | LOSS | WIN | |
| 212 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@TOR | H | 0.5 | -350 | 1 | +0.5 | 3/5 | -0.5 | 46 | F | 2.0 | WIN | LOSS | |
| 213 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | RBI | 0.5 | +147 | 0.8 | +0.3 | 3/5 | -0.7 | 46 | F | 1.0 | WIN | LOSS | |
| 214 | MLB | Jake Burger 10 games | TEX vs TEX@LAA | H | 0.5 | -175 | 0.8 | +0.3 | 4/5 | +-0 | 46 | F | 1.0 | WIN | LOSS | |
| 215 | MLB | Jameson Taillon 3 games | TOR vs BOS@TOR | K | 3.5 | -220 | 4.3 | +0.8 | 2/3 | +0 | 46 | F | 3.0 | LOSS | WIN | |
| 216 | MLB | Jonah Heim 10 games | ATH vs TBR@Athlet | H | 0.5 | -175 | 0.8 | +0.3 | 4/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 217 | MLB | Justin Crawford 10 games | PHI vs PHI@STL | H | 0.5 | -190 | 0.8 | +0.3 | 4/5 | -0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 218 | MLB | Luis Arraez 10 games | PHI vs PHI@STL | TB | 1.5 | +105 | 1.8 | +0.3 | 3/5 | -1 | 46 | F | 0.0 | LOSS | WIN | |
| 219 | MLB | Marcus Semien 10 games | NYM vs NYM@ATL | H | 0.5 | -165 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 220 | MLB | Mickey Moniak 10 games | COL vs COL@ARI | H | 0.5 | -176 | 0.8 | +0.3 | 4/5 | -0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 221 | MLB | Nick Sogard 10 games | BOS vs BOS@TOR | H | 0.5 | -225 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 222 | MLB | Nolan Schanuel 10 games | LAA vs TEX@LAA | H | 0.5 | -215 | 0.8 | +0.3 | 4/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 223 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | H | 0.5 | -250 | 1 | +0.5 | 3/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 224 | MLB | Rafael Devers 10 games | SF vs HOU@SFG | H | 0.5 | -195 | 1 | +0.5 | 3/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 225 | MLB | TJ Rumfield 10 games | COL vs COL@ARI | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | +0.5 | 46 | F | 1.0 | WIN | LOSS | |
| 226 | MLB | Tyler O'Neill 10 games | BAL vs BAL@MIN | H | 0.5 | -169 | 0.8 | +0.3 | 4/5 | +-0 | 46 | F | 0.0 | LOSS | WIN | |
| 227 | MLB | Willy Adames 10 games | SF vs HOU@SFG | H | 0.5 | -165 | 0.8 | +0.3 | 4/5 | +0.4 | 46 | F | 0.0 | LOSS | WIN | |
| 228 | MLB | A.J. Ewing 10 games | NYM vs NYM@ATL | R | 0.5 | +115 | 0.8 | +0.3 | 2/5 | +0.9 | 45 | F | 1.0 | WIN | LOSS | |
| 229 | MLB | Bo Bichette 10 games | NYM vs NYM@ATL | H | 1.5 | +200 | 1.8 | +0.3 | 2/5 | +0.6 | 45 | F | 1.0 | LOSS | WIN | |
| 230 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | TB | 1.5 | +150 | 1.8 | +0.3 | 2/5 | +1.1 | 45 | F | 0.0 | LOSS | WIN | |
| 231 | MLB | Brooks Lee 10 games | MIN vs BAL@MIN | RBI | 0.5 | +200 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 232 | MLB | Francisco Alvarez 10 games | NYM vs NYM@ATL | R | 0.5 | +155 | 0.8 | +0.3 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 233 | MLB | Francisco Alvarez 10 games | NYM vs NYM@ATL | TB | 1.5 | +175 | 1.6 | +0.1 | 2/5 | +1.2 | 45 | F | 2.0 | WIN | LOSS | |
| 234 | MLB | Jac Caglianone 10 games | KC vs KCR@LAD | H | 1.5 | +360 | 1.8 | +0.3 | 2/5 | +0.8 | 45 | F | 2.0 | WIN | LOSS | |
| 235 | MLB | Jackson Holliday 10 games | BAL vs BAL@MIN | R | 0.5 | +135 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 1.0 | WIN | LOSS | |
| 236 | MLB | Josh Bell 10 games | MIN vs BAL@MIN | RBI | 0.5 | +200 | 0.8 | +0.3 | 2/5 | +0.5 | 45 | F | 3.0 | WIN | LOSS | |
| 237 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 238 | MLB | Luis Torrens 9 games | NYM vs NYM@ATL | R | 0.5 | +175 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | — | PENDING | PENDING | |
| 239 | MLB | Michael Harris II 10 games | ATL vs NYM@ATL | TB | 1.5 | +110 | 2.2 | +0.7 | 2/5 | -1.1 | 45 | F | 3.0 | WIN | LOSS | |
| 240 | MLB | Nathan Lukes 10 games | TOR vs BOS@TOR | RBI | 0.5 | +296 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 241 | MLB | Tarik Skubal 10 games | LAD vs KCR@LAD | K | 6.5 | -325 | 7.6 | +1.1 | 2/5 | +0.3 | 45 | F | 6.0 | LOSS | WIN | |
| 242 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs BOS@TOR | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | Austin Riley 10 games | ATL vs NYM@ATL | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | -0.3 | 44 | F | 1.0 | WIN | LOSS | |
| 244 | MLB | Brett Bateman 3 games | TOR vs BOS@TOR | TB | 1.5 | +190 | 1.3 | -0.2 | 2/3 | +0 | 44 | F | 1.0 | LOSS | WIN | |
| 245 | MLB | Bryson Stott 10 games | PHI vs PHI@STL | H | 1.5 | +280 | 1.4 | -0.1 | 3/5 | +0.2 | 44 | F | 2.0 | WIN | LOSS | |
| 246 | MLB | Christian Scott 8 games | NYM vs NYM@ATL | K | 6.5 | +210 | 6.4 | -0.1 | 3/5 | +0.3 | 44 | F | 6.0 | LOSS | WIN | |
| 247 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | R | 0.5 | -135 | 0.8 | +0.3 | 3/5 | -0.4 | 44 | F | 1.0 | WIN | LOSS | |
| 248 | MLB | Ezequiel Tovar 10 games | COL vs COL@ARI | H | 0.5 | -125 | 0.8 | +0.3 | 3/5 | -0.5 | 44 | F | — | PENDING | PENDING | |
| 249 | MLB | Freddy Peralta 9 games | TB vs TBR@Athlet | K | 5.5 | +175 | 4.8 | -0.7 | 3/5 | -0.1 | 44 | F | 5.0 | LOSS | WIN | |
| 250 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | R | 0.5 | -135 | 0.6 | +0.1 | 3/5 | -0.3 | 44 | F | 1.0 | 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.