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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 351 | MLB | Nick Kurtz 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +138 | 1.4 | +0.9 | 2/5 | -1.2 | 45 | F | 1.0 | WIN | LOSS | |
| 352 | MLB | Sal Stewart 10 games | CIN vs CIN@NYY | R | 0.5 | +150 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 353 | MLB | Sal Stewart 10 games | CIN vs CIN@NYY | TB | 1.5 | +155 | 1.8 | +0.3 | 2/5 | +1.2 | 45 | F | 0.0 | LOSS | WIN | |
| 354 | MLB | Tanner Bibee 10 games | CLE vs CLE@HOU | K | 4.5 | -140 | 4.8 | +0.3 | 3/5 | +0.5 | 45 | F | 7.0 | WIN | LOSS | |
| 355 | MLB | Trevor Larnach 10 games | MIN vs MIN@ARI | R | 0.5 | +120 | 0.8 | +0.3 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 356 | MLB | Trevor Larnach 10 games | MIN vs MIN@ARI | RBI | 0.5 | +266 | 0.8 | +0.3 | 2/5 | +0.9 | 45 | F | 0.0 | LOSS | WIN | |
| 357 | MLB | Tyler Soderstrom 10 games | ATH vs LAA@Athlet | TB | 1.5 | +135 | 2.2 | +0.7 | 2/5 | -1.4 | 45 | F | 4.0 | WIN | LOSS | |
| 358 | MLB | Victor Caratini 10 games | MIN vs MIN@ARI | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 359 | MLB | Victor Mesa Jr. 10 games | TB vs WSN@TBR | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 360 | MLB | Willy Adames 10 games | SF vs SFG@MIA | TB | 1.5 | +160 | 1.8 | +0.3 | 2/5 | +1 | 45 | F | 1.0 | LOSS | WIN | |
| 361 | MLB | Austin Riley 10 games | ATL vs MIL@ATL | TB | 1.5 | +220 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | 1.0 | LOSS | WIN | |
| 362 | MLB | Colson Montgomery 10 games | CWS vs CHW@DET | H | 1.5 | +340 | 1.2 | -0.3 | 3/5 | +0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 363 | MLB | Connor Prielipp 10 games | MIN vs MIN@ARI | K | 4.5 | +145 | 4.4 | -0.1 | 3/5 | +0.2 | 44 | F | 4.0 | LOSS | WIN | |
| 364 | MLB | Dalton Rushing 10 games | LAD vs BAL@LAD | TB | 1.5 | +165 | 1.2 | -0.3 | 3/5 | -0.3 | 44 | F | 1.0 | LOSS | WIN | |
| 365 | MLB | Edwin Arroyo 10 games | CIN vs CIN@NYY | H | 0.5 | -135 | 0.6 | +0.1 | 3/5 | +-0 | 44 | F | 0.0 | LOSS | WIN | |
| 366 | MLB | Gavin Sheets 10 games | SD vs SDP@TEX | H | 0.5 | -130 | 0.6 | +0.1 | 3/5 | -0.4 | 44 | F | 2.0 | WIN | LOSS | |
| 367 | MLB | Ian Happ 10 games | CHC vs TOR@CHC | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | +0.3 | 44 | F | 2.0 | WIN | LOSS | |
| 368 | MLB | Jonathan Aranda 10 games | TB vs WSN@TBR | H | 1.5 | +260 | 1.2 | -0.3 | 3/5 | +0.2 | 44 | F | 1.0 | LOSS | WIN | |
| 369 | MLB | Jonathan Aranda 10 games | TB vs WSN@TBR | TB | 1.5 | +140 | 1.4 | -0.1 | 3/5 | +0.1 | 44 | F | 4.0 | WIN | LOSS | |
| 370 | MLB | Jose Caballero 10 games | NYY vs CIN@NYY | RBI | 1.5 | +700 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | — | PENDING | PENDING | |
| 371 | MLB | Josh Smith 10 games | TEX vs SDP@TEX | TB | 1.5 | +200 | 1.4 | -0.1 | 3/5 | +0 | 44 | F | — | PENDING | PENDING | |
| 372 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@CHC | H | 0.5 | -135 | 0.8 | +0.3 | 3/5 | -0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 373 | MLB | Lawrence Butler 10 games | ATH vs LAA@Athlet | TB | 1.5 | +155 | 1.4 | -0.1 | 3/5 | +0.1 | 44 | F | 5.0 | WIN | LOSS | |
| 374 | MLB | Marcell Ozuna 10 games | PIT vs PIT@COL | TB | 1.5 | -110 | 1.6 | +0.1 | 2/5 | +0.7 | 44 | F | 1.0 | LOSS | WIN | |
| 375 | MLB | Mitch Garver 10 games | SEA vs BOS@SEA | H | 0.5 | -125 | 0.8 | +0.3 | 3/5 | -0.2 | 44 | F | — | PENDING | PENDING | |
| 376 | MLB | Paul Goldschmidt 10 games | NYY vs CIN@NYY | RBI | 1.5 | +400 | 1.4 | -0.1 | 3/5 | +0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 377 | MLB | Seiya Suzuki 10 games | CHC vs TOR@CHC | H | 1.5 | +360 | 1.4 | -0.1 | 3/5 | +0.1 | 44 | F | 3.0 | WIN | LOSS | |
| 378 | MLB | Cade Cavalli 10 games | WSH vs WSN@TBR | K | 5.5 | +200 | 5.8 | +0.3 | 3/5 | -2 | 43 | F | — | PENDING | PENDING | |
| 379 | MLB | J.P. Crawford 10 games | SEA vs BOS@SEA | H | 0.5 | -180 | 1 | +0.5 | 3/5 | -0.6 | 43 | F | 0.0 | LOSS | WIN | |
| 380 | MLB | Jackson Chourio 10 games | MIL vs MIL@ATL | H | 0.5 | -320 | 1.4 | +0.9 | 3/5 | -1.4 | 43 | F | 1.0 | WIN | LOSS | |
| 381 | MLB | Jo Adell 10 games | LAA vs LAA@Athlet | H | 0.5 | -235 | 1 | +0.5 | 3/5 | -0.9 | 43 | F | 0.0 | LOSS | WIN | |
| 382 | MLB | Jose Soriano 10 games | LAA vs LAA@Athlet | K | 4.5 | -155 | 5 | +0.5 | 3/5 | -0.6 | 43 | F | 6.0 | WIN | LOSS | |
| 383 | MLB | Michael Soroka 10 games | AZ vs MIN@ARI | K | 4.5 | -225 | 4.8 | +0.3 | 3/5 | +1.2 | 43 | F | 0.0 | LOSS | WIN | |
| 384 | MLB | Pete Alonso 10 games | BAL vs BAL@LAD | H | 0.5 | -175 | 1 | +0.5 | 3/5 | -0.7 | 43 | F | 1.0 | WIN | LOSS | |
| 385 | MLB | Ranger Suarez 9 games | BOS vs BOS@SEA | K | 6.5 | +140 | 6 | -0.5 | 2/5 | +1.6 | 43 | F | 5.0 | LOSS | WIN | |
| 386 | MLB | Salvador Perez 10 games | KC vs STL@KCR | TB | 1.5 | +135 | 1.8 | +0.3 | 1/5 | +1.7 | 43 | F | 2.0 | WIN | LOSS | |
| 387 | MLB | William Contreras 10 games | MIL vs MIL@ATL | H | 0.5 | -240 | 1.2 | +0.7 | 3/5 | -0.9 | 43 | F | 0.0 | LOSS | WIN | |
| 388 | MLB | Willson Contreras 10 games | BOS vs BOS@SEA | H | 0.5 | -160 | 1.2 | +0.7 | 3/5 | -0.7 | 43 | F | 1.0 | WIN | LOSS | |
| 389 | MLB | Alex Freeland 10 games | LAD vs BAL@LAD | RBI | 0.5 | +289 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 390 | MLB | Ben Rice 10 games | NYY vs CIN@NYY | RBI | 0.5 | +130 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 3.0 | WIN | LOSS | |
| 391 | MLB | Blaze Jordan 7 games | STL vs STL@KCR | R | 0.5 | +165 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 392 | MLB | Brandon Lowe 10 games | PIT vs PIT@COL | RBI | 0.5 | +118 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 393 | MLB | Brandon Nimmo 10 games | TEX vs SDP@TEX | TB | 1.5 | +133 | 1.6 | +0.1 | 2/5 | -0.5 | 42 | F | 4.0 | WIN | LOSS | |
| 394 | MLB | Bryan Reynolds 10 games | PIT vs PIT@COL | HR | 0.5 | +375 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 395 | MLB | Carlos Cortes 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +201 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 396 | MLB | Chase Meidroth 10 games | CWS vs CHW@DET | TB | 1.5 | +165 | 1.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 397 | MLB | Christian Yelich 10 games | MIL vs MIL@ATL | RBI | 0.5 | +228 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 398 | MLB | CJ Abrams 10 games | WSH vs WSN@TBR | RBI | 0.5 | +187 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 399 | MLB | Cody Bellinger 10 games | NYY vs CIN@NYY | RBI | 0.5 | +135 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 400 | MLB | Cole Carrigg 9 games | COL vs PIT@COL | R | 0.5 | +110 | 0.8 | +0.3 | 2/5 | -0.3 | 42 | 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.