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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 451 | MLB | Zach McKinstry 10 games | DET vs CLE@DET | H | 0.5 | -140 | 0.8 | +0.3 | 3/5 | -0.3 | 42 | F | 1.0 | WIN | LOSS | |
| 452 | MLB | Zack Gelof 10 games | ATH vs TBR@Athlet | R | 0.5 | +158 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 2.0 | WIN | LOSS | |
| 453 | MLB | Andrew Pinckney 2 games | WSH vs CHC@WSN | H | 0.5 | -109 | 0.5 | +0 | 1/2 | +0 | 41 | F | 1.0 | WIN | LOSS | |
| 454 | MLB | Drew Cavanaugh 10 games | SF vs HOU@SFG | H | 0.5 | -110 | 0.8 | +0.3 | 2/5 | +-0 | 41 | F | 1.0 | WIN | LOSS | |
| 455 | MLB | Joey Ortiz 10 games | MIL vs MIL@SDP | H | 0.5 | -145 | 1 | +0.5 | 2/5 | +0 | 41 | F | 1.0 | WIN | LOSS | |
| 456 | MLB | A.J. Ewing 10 games | NYM vs NYM@ATL | R | 1.5 | +800 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 457 | MLB | Alec Bohm 10 games | PHI vs PHI@STL | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | +0 | 40 | F | 2.0 | WIN | LOSS | |
| 458 | MLB | Alec Burleson 10 games | STL vs PHI@STL | H | 0.5 | -208 | 0.8 | +0.3 | 3/5 | +0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 459 | MLB | Andrew Benintendi 10 games | CWS vs CIN@CHW | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 0.0 | LOSS | WIN | |
| 460 | MLB | Bo Bichette 10 games | NYM vs NYM@ATL | TB | 1.5 | +115 | 1.8 | +0.3 | 1/5 | +0.8 | 40 | F | 4.0 | WIN | LOSS | |
| 461 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@LAD | H | 0.5 | -250 | 0.8 | +0.3 | 3/5 | -0.3 | 40 | F | 2.0 | WIN | LOSS | |
| 462 | MLB | Braden Montgomery 10 games | CWS vs CIN@CHW | H | 0.5 | -185 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 463 | MLB | Brady House 10 games | WSH vs CHC@WSN | R | 1.5 | +1000 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 464 | MLB | Brandon Lowe 10 games | PIT vs PIT@MIA | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 1.0 | WIN | LOSS | |
| 465 | MLB | Brandon Marsh 10 games | PHI vs PHI@STL | H | 0.5 | -240 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 466 | MLB | Brayan Rocchio 10 games | CLE vs CLE@DET | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 467 | MLB | Brendan Donovan 5 games | SEA vs SEA@NYY | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 468 | MLB | Bryan Reynolds 10 games | PIT vs PIT@MIA | H | 0.5 | -206 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 469 | MLB | Bryce Eldridge 10 games | SF vs HOU@SFG | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 470 | MLB | Bryce Eldridge 10 games | SF vs HOU@SFG | TB | 1.5 | +150 | 1.4 | -0.1 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 471 | MLB | Cal Quantrill 10 games | TEX vs TEX@LAA | K | 3.5 | +115 | 3 | -0.5 | 2/5 | +1.2 | 40 | F | 6.0 | WIN | LOSS | |
| 472 | MLB | Cedric Mullins 10 games | TB vs TBR@Athlet | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 2.0 | WIN | LOSS | |
| 473 | MLB | Chase Meidroth 10 games | CWS vs CIN@CHW | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +1.4 | 40 | F | 2.0 | WIN | LOSS | |
| 474 | MLB | Coby Mayo 10 games | BAL vs BAL@MIN | H | 1.5 | +400 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 475 | MLB | Cole Young 10 games | SEA vs SEA@NYY | H | 0.5 | -215 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 476 | MLB | Colson Montgomery 10 games | CWS vs CIN@CHW | H | 0.5 | -160 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 477 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | H | 0.5 | -250 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 478 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | TB | 2.5 | +170 | 1.8 | -0.7 | 2/5 | +0.7 | 40 | F | 7.0 | WIN | LOSS | |
| 479 | MLB | Dominic Canzone 10 games | SEA vs SEA@NYY | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 2.0 | WIN | LOSS | |
| 480 | MLB | Eduardo Valencia 10 games | DET vs CLE@DET | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | — | PENDING | PENDING | |
| 481 | MLB | Elly De La Cruz 10 games | CIN vs CIN@CHW | H | 0.5 | -244 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 482 | MLB | Ezequiel Duran 10 games | TEX vs TEX@LAA | H | 0.5 | -199 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 483 | MLB | Francisco Lindor 10 games | NYM vs NYM@ATL | R | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 484 | MLB | George Springer 10 games | TOR vs BOS@TOR | H | 0.5 | -178 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | — | PENDING | PENDING | |
| 485 | MLB | Gleyber Torres 10 games | DET vs CLE@DET | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | -0.5 | 40 | F | 2.0 | WIN | LOSS | |
| 486 | MLB | Griffin Conine 10 games | MIA vs PIT@MIA | H | 1.5 | +360 | 1.2 | -0.3 | 2/5 | +0.8 | 40 | F | 2.0 | WIN | LOSS | |
| 487 | MLB | Gunnar Henderson 10 games | BAL vs BAL@MIN | R | 1.5 | +475 | 1 | -0.5 | 2/5 | +1 | 40 | F | 1.0 | LOSS | WIN | |
| 488 | MLB | Hunter Goodman 10 games | COL vs COL@ARI | H | 0.5 | -189 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 489 | MLB | Ian Happ 10 games | CHC vs CHC@WSN | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +1.4 | 40 | F | 1.0 | LOSS | WIN | |
| 490 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@MIA | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 491 | MLB | Jake Burger 10 games | TEX vs TEX@LAA | H | 0.5 | -174 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 0.0 | LOSS | WIN | |
| 492 | MLB | Jake Mangum 10 games | PIT vs PIT@MIA | H | 1.5 | +174 | 1.2 | -0.3 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 493 | MLB | Janson Junk 5 games | MIA vs PIT@MIA | K | 3.5 | -160 | 3.8 | +0.3 | 3/5 | -0.1 | 40 | F | 2.0 | LOSS | WIN | |
| 494 | MLB | Jared Young 10 games | NYM vs NYM@ATL | H | 1.5 | +360 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 495 | MLB | Jazz Chisholm Jr. 10 games | NYY vs SEA@NYY | H | 0.5 | -158 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 496 | MLB | Jeff McNeil 10 games | ATH vs TBR@Athlet | H | 0.5 | -217 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | — | PENDING | PENDING | |
| 497 | MLB | Jo Adell 10 games | CLE vs CLE@DET | TB | 1.5 | +135 | 1.2 | -0.3 | 2/5 | +1.1 | 40 | F | 4.0 | WIN | LOSS | |
| 498 | MLB | Joc Pederson 10 games | TEX vs TEX@LAA | H | 0.5 | -175 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 499 | MLB | Junior Caminero 10 games | TB vs TBR@Athlet | RBI | 1.5 | +240 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 500 | MLB | Ketel Marte 10 games | AZ vs COL@ARI | H | 1.5 | +200 | 1 | -0.5 | 2/5 | +1 | 40 | 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.