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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 501 | MLB | Matt Shaw 10 games | CHC vs TOR@CHC | H | 1.5 | +400 | 1.2 | -0.3 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 502 | MLB | Matt Shaw 10 games | CHC vs TOR@CHC | RBI | 1.5 | +800 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 503 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@NYY | TB | 1.5 | +185 | 0.8 | -0.7 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 504 | MLB | Oswald Peraza 10 games | LAA vs LAA@Athlet | H | 0.5 | -190 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | 3.0 | WIN | LOSS | |
| 505 | MLB | Patrick Bailey 10 games | CLE vs CLE@HOU | H | 1.5 | +500 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 506 | MLB | Rhett Lowder 6 games | CIN vs CIN@NYY | K | 3.5 | -215 | 3.8 | +0.3 | 3/5 | +0 | 40 | F | 5.0 | WIN | LOSS | |
| 507 | MLB | Riley Greene 10 games | DET vs CHW@DET | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 508 | MLB | Roki Sasaki 8 games | LAD vs BAL@LAD | K | 7.5 | +225 | 6.6 | -0.9 | 2/5 | +1.1 | 40 | F | 6.0 | LOSS | WIN | |
| 509 | MLB | Samad Taylor 10 games | SD vs SDP@TEX | TB | 1.5 | +220 | 2 | +0.5 | 1/5 | -0.6 | 40 | F | 3.0 | WIN | LOSS | |
| 510 | MLB | Spencer Horwitz 10 games | PIT vs PIT@COL | H | 0.5 | -300 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 511 | MLB | Spencer Horwitz 10 games | PIT vs PIT@COL | R | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 512 | MLB | Taylor Ward 10 games | BAL vs BAL@LAD | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 513 | MLB | Travis Bazzana 10 games | CLE vs CLE@HOU | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | 2.0 | WIN | LOSS | |
| 514 | MLB | Travis Bazzana 10 games | CLE vs CLE@HOU | TB | 1.5 | +150 | 1.4 | -0.1 | 2/5 | +1.2 | 40 | F | 3.0 | WIN | LOSS | |
| 515 | MLB | Trevor Larnach 10 games | MIN vs MIN@ARI | R | 1.5 | +800 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 516 | MLB | Troy Johnston 10 games | COL vs PIT@COL | R | 0.5 | +115 | 0.6 | +0.1 | 1/5 | +0.5 | 40 | F | — | PENDING | PENDING | |
| 517 | MLB | Tyler Freeman 10 games | COL vs PIT@COL | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 518 | MLB | Willy Adames 10 games | SF vs SFG@MIA | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 519 | MLB | Wilyer Abreu 10 games | BOS vs BOS@SEA | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 520 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | H | 1.5 | +220 | 0.8 | -0.7 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 521 | MLB | Christian Walker 10 games | HOU vs CLE@HOU | TB | 1.5 | +125 | 1.6 | +0.1 | 2/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 522 | MLB | Colt Keith 10 games | DET vs CHW@DET | H | 0.5 | -160 | 1 | +0.5 | 2/5 | +0.3 | 39 | F | 0.0 | LOSS | WIN | |
| 523 | MLB | Dillon Dingler 10 games | DET vs CHW@DET | TB | 1.5 | +105 | 1.8 | +0.3 | 2/5 | -0.8 | 39 | F | 3.0 | WIN | LOSS | |
| 524 | MLB | Jac Caglianone 10 games | KC vs STL@KCR | TB | 1.5 | +125 | 1.8 | +0.3 | 2/5 | -0.8 | 39 | F | 5.0 | WIN | LOSS | |
| 525 | MLB | Jake Burger 10 games | TEX vs SDP@TEX | TB | 1.5 | +160 | 1.8 | +0.3 | 2/5 | -1.1 | 39 | F | 2.0 | WIN | LOSS | |
| 526 | MLB | Jake Meyers 10 games | HOU vs CLE@HOU | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | -0.2 | 39 | F | 1.0 | WIN | LOSS | |
| 527 | MLB | Kameron Misner 5 games | KC vs STL@KCR | RBI | 0.5 | +250 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | — | PENDING | PENDING | |
| 528 | MLB | Kevin McGonigle 10 games | DET vs CHW@DET | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | +0.2 | 39 | F | 0.0 | LOSS | WIN | |
| 529 | MLB | Shea Langeliers 10 games | ATH vs LAA@Athlet | TB | 1.5 | +105 | 1.6 | +0.1 | 2/5 | -0.5 | 39 | F | 2.0 | WIN | LOSS | |
| 530 | MLB | Tyler Soderstrom 10 games | ATH vs LAA@Athlet | RBI | 0.5 | +140 | 0.6 | +0.1 | 2/5 | -0.7 | 39 | F | 0.0 | LOSS | WIN | |
| 531 | MLB | Willi Castro 10 games | COL vs PIT@COL | R | 0.5 | -115 | 0.8 | +0.3 | 2/5 | -0.3 | 39 | F | 0.0 | LOSS | WIN | |
| 532 | MLB | Zach Neto 10 games | LAA vs LAA@Athlet | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | +0.3 | 39 | F | 1.0 | WIN | LOSS | |
| 533 | MLB | Alejandro Kirk 4 games | TOR vs TOR@CHC | RBI | 0.5 | +219 | 0.5 | +0 | 1/4 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 534 | MLB | Alejandro Osuna 10 games | TEX vs SDP@TEX | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 535 | MLB | Alex Bregman 10 games | CHC vs TOR@CHC | H | 1.5 | +300 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 536 | MLB | Ben Rice 10 games | NYY vs CIN@NYY | HR | 0.5 | +260 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 537 | MLB | Ben Rice 10 games | NYY vs CIN@NYY | RBI | 1.5 | +450 | 0.8 | -0.7 | 2/5 | +0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 538 | MLB | Blake Dunn 10 games | CIN vs CIN@NYY | H | 0.5 | -160 | 0.6 | +0.1 | 3/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 539 | MLB | Blaze Alexander 10 games | BAL vs BAL@LAD | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 540 | MLB | Blaze Jordan 7 games | STL vs STL@KCR | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | -0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 541 | MLB | Brandon Nimmo 10 games | TEX vs SDP@TEX | H | 1.5 | +260 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 542 | MLB | Brayan Rocchio 10 games | CLE vs CLE@HOU | TB | 1.5 | +150 | 1.2 | -0.3 | 2/5 | -0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 543 | MLB | Brice Turang 10 games | MIL vs MIL@ATL | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 544 | MLB | Brice Turang 10 games | MIL vs MIL@ATL | RBI | 0.5 | +213 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 545 | MLB | Brooks Lee 10 games | MIN vs MIN@ARI | HR | 0.5 | +900 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 546 | MLB | Bryce Eldridge 10 games | SF vs SFG@MIA | HR | 0.5 | +650 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 547 | MLB | Byron Buxton 10 games | MIN vs MIN@ARI | HR | 0.5 | +300 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 548 | MLB | Caleb Durbin 10 games | BOS vs BOS@SEA | R | 0.5 | +230 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 549 | MLB | Caleb Durbin 10 games | BOS vs BOS@SEA | RBI | 0.5 | +333 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 550 | MLB | Cam Schlittler 10 games | NYY vs CIN@NYY | K | 5.5 | -350 | 5.6 | +0.1 | 3/5 | -1 | 37 | F | 13.0 | 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.