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 | Carter Jensen 10 games | KC vs STL@KCR | H | 1.5 | +400 | 1.8 | +0.3 | 2/5 | +0.7 | 45 | F | 2.0 | WIN | LOSS | |
| 252 | MLB | Ceddanne Rafaela 10 games | BOS vs TOR@BOS | RBI | 0.5 | +173 | 1 | +0.5 | 2/5 | -0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 253 | MLB | Christian Yelich 10 games | MIL vs CLE@MIL | RBI | 0.5 | +185 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 254 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | H | 1.5 | +240 | 1.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 255 | MLB | Colson Montgomery 10 games | CWS vs CHW@NYY | HR | 0.5 | +350 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 256 | MLB | Colt Emerson 10 games | SEA vs BAL@SEA | TB | 1.5 | +210 | 2 | +0.5 | 2/5 | -0.9 | 45 | F | 1.0 | LOSS | WIN | |
| 257 | MLB | Drake Baldwin 10 games | ATL vs SFG@ATL | TB | 1.5 | +128 | 2.2 | +0.7 | 2/5 | -0.6 | 45 | F | — | PENDING | PENDING | |
| 258 | MLB | Garrett Mitchell 10 games | MIL vs CLE@MIL | TB | 1.5 | +225 | 2.2 | +0.7 | 2/5 | -0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 259 | MLB | Isaac Collins 10 games | KC vs STL@KCR | RBI | 0.5 | +245 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 260 | MLB | J.C. Escarra 10 games | NYY vs CHW@NYY | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 261 | MLB | Jeff McNeil 10 games | ATH vs LAA@Athlet | R | 0.5 | +115 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 262 | MLB | Joc Pederson 10 games | TEX vs MIN@TEX | TB | 1.5 | +160 | 1.6 | +0.1 | 2/5 | +0.9 | 45 | F | 0.0 | LOSS | WIN | |
| 263 | MLB | Luis Arraez 10 games | SF vs SFG@ATL | R | 0.5 | +145 | 0.8 | +0.3 | 2/5 | +0.7 | 45 | F | — | PENDING | PENDING | |
| 264 | MLB | Matt Olson 10 games | ATL vs SFG@ATL | TB | 1.5 | +130 | 2 | +0.5 | 2/5 | -0.5 | 45 | F | — | PENDING | PENDING | |
| 265 | MLB | Matthew Liberatore 10 games | STL vs STL@KCR | K | 5.5 | +240 | 6.2 | +0.7 | 2/5 | -1.3 | 45 | F | 2.0 | LOSS | WIN | |
| 266 | MLB | Mike Trout 10 games | LAA vs LAA@Athlet | RBI | 0.5 | +155 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | — | PENDING | PENDING | |
| 267 | MLB | Stuart Fairchild 8 games | CLE vs CLE@MIL | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 268 | MLB | Willy Adames 10 games | SF vs SFG@ATL | TB | 1.5 | +155 | 1.8 | +0.3 | 2/5 | +1 | 45 | F | — | PENDING | PENDING | |
| 269 | MLB | Austin Riley 10 games | ATL vs SFG@ATL | TB | 1.5 | +170 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | — | PENDING | PENDING | |
| 270 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | RBI | 1.5 | +450 | 1.2 | -0.3 | 3/5 | +0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 271 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIL | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0.1 | 44 | F | 1.0 | WIN | LOSS | |
| 272 | MLB | Lawrence Butler 10 games | ATH vs LAA@Athlet | TB | 1.5 | +175 | 1.4 | -0.1 | 3/5 | +0.1 | 44 | F | — | PENDING | PENDING | |
| 273 | MLB | Shea Langeliers 10 games | ATH vs LAA@Athlet | R | 0.5 | -125 | 0.6 | +0.1 | 3/5 | -0.4 | 44 | F | 1.0 | WIN | LOSS | |
| 274 | MLB | Blake Perkins 10 games | MIL vs CLE@MIL | TB | 1.5 | +230 | 1.6 | +0.1 | 1/5 | +1.9 | 43 | F | 2.0 | WIN | LOSS | |
| 275 | MLB | J.P. Crawford 10 games | SEA vs BAL@SEA | H | 0.5 | -180 | 1 | +0.5 | 3/5 | -0.5 | 43 | F | 0.0 | LOSS | WIN | |
| 276 | MLB | Shane Baz 10 games | BAL vs BAL@SEA | K | 4.5 | -250 | 5 | +0.5 | 3/5 | -1.5 | 43 | F | 9.0 | WIN | LOSS | |
| 277 | MLB | Trey Yesavage 9 games | TOR vs TOR@BOS | K | 4.5 | -155 | 5.2 | +0.7 | 3/5 | -1.2 | 43 | F | 6.0 | WIN | LOSS | |
| 278 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | RBI | 0.5 | +200 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 279 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | RBI | 0.5 | +164 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 280 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | TB | 1.5 | +118 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 3.0 | WIN | LOSS | |
| 281 | MLB | Austin Hedges 9 games | CLE vs CLE@MIL | RBI | 0.5 | +364 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 282 | MLB | Ben Rice 10 games | NYY vs CHW@NYY | R | 0.5 | -150 | 0.8 | +0.3 | 3/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 283 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 284 | MLB | Blaze Jordan 6 games | STL vs STL@KCR | RBI | 0.5 | +221 | 0.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 285 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | TB | 1.5 | +160 | 1.6 | +0.1 | 2/5 | -0.5 | 42 | F | 4.0 | WIN | LOSS | |
| 286 | MLB | Bryce Eldridge 10 games | SF vs SFG@ATL | H | 1.5 | +320 | 1.6 | +0.1 | 2/5 | -0.1 | 42 | F | — | PENDING | PENDING | |
| 287 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | R | 0.5 | +150 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 288 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | RBI | 0.5 | +222 | 0.8 | +0.3 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 289 | MLB | Byron Buxton 10 games | MIN vs MIN@TEX | R | 1.5 | +500 | 1.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 290 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | R | 0.5 | +155 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 291 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | RBI | 0.5 | +200 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 292 | MLB | Carlos Cortes 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +175 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 293 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | RBI | 0.5 | +231 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 294 | MLB | Cooper Pratt 2 games | MIL vs CLE@MIL | R | 0.5 | +180 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 295 | MLB | Cooper Pratt 2 games | MIL vs CLE@MIL | RBI | 0.5 | +230 | 0.5 | +0 | 1/2 | +0 | 42 | F | 1.0 | WIN | LOSS | |
| 296 | MLB | Denzer Guzman 8 games | LAA vs LAA@Athlet | R | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 297 | MLB | Dominic Canzone 10 games | SEA vs BAL@SEA | R | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.2 | 42 | F | 1.0 | WIN | LOSS | |
| 298 | MLB | Edmundo Sosa 10 games | PHI vs NYM@PHI | TB | 1.5 | +150 | 1.8 | +0.3 | 2/5 | -0.5 | 42 | F | 3.0 | WIN | LOSS | |
| 299 | MLB | Garrett Mitchell 10 games | MIL vs CLE@MIL | RBI | 0.5 | +290 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 300 | MLB | Isaac Collins 10 games | KC vs STL@KCR | H | 0.5 | -140 | 0.6 | +0.1 | 3/5 | +0.1 | 42 | 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.